Literature DB >> 35176046

Health promotion intervention to prevent risk factors of chronic diseases: Protocol for a cluster randomized controlled trial among adolescents in school settings of Chandigarh (India).

Sandeep Kaur1, Manmeet Kaur1, Rajesh Kumar1,2,3.   

Abstract

BACKGROUND: Chronic diseases like diabetes, cardiovascular diseases and cancers are on the rise. Most of the risk factors of these diseases commence in Adolescence. Therefore, a cluster randomised controlled trial is designed to evaluate the effect of school-based health promotion intervention on the risk factors of chronic diseases.
METHODOLOGY: Considering school as a cluster, twelve schools will be randomly selected from the public schools of Chandigarh, a city in India. After baseline assessment, six schools will be randomly allocated to intervention and six to the control arm. Study participants will be students of 8th grade (age 10-16 years), their parents and teachers. A sample of 360 students (12 clusters x 30 students) has been estimated to provide statistically valid inference. The PRECEDE PROCEED Model will be used to develop health promotion interventions to prevent the use of an unbalanced diet, physical inactivity, alcohol, and tobacco. Interventions will be implemented for six-months in the school setting. For students, the intervention will comprise interactive learning sessions of 30 minutes duration per week and physical activity sessions of 30 minutes duration four times every week. Educational sessions will be conducted for parents and teachers for 30 minutes, four times during the intervention period. Primary outcomes will be changes in the prevalence of behavioural risk factors from pre- to post-intervention. Changes in anthropometric, physiological, and biochemical measures will be the secondary outcomes. The difference-in-difference (DID) method will be used to measure the net change in the outcomes. DISCUSSION: It is essential to understand whether health promotion interventions implemented in the school setting simultaneously targeting adolescents, teachers, and parents are effective. Using the PRECEDE-PROCEED model for planning, implementing, and evaluating the intervention as part of a cluster Randomized Controlled Trial design with DID analysis, could objectively assess the impact.

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Mesh:

Year:  2022        PMID: 35176046      PMCID: PMC8853575          DOI: 10.1371/journal.pone.0263584

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Technological advancements have improved the living conditions of people all over the world. However, this transition has shifted dietary behaviours from traditional home-cooked meals to processed food high in sugar, salt, and fat and low in fruits and vegetables. It has also increased the sedentary behaviours of individuals. Moreover, the growing availability and early exposures have led to increased tobacco and alcohol-related products early in life [1, 2]. Unbalanced diets, physical inactivity and tobacco and alcohol use, are the behavioural risk factors leading to chronic diseases. Currently, about 50% of total deaths globally are caused by chronic diseases. Low- and middle-income countries like India face a similar situation wherein 40% of all deaths are caused by chronic diseases [3]. Many of these deaths occur at a young age in India, leading to further loss of potentially productive life years [4]. Several health promotion interventions consisting of behaviour change strategies and activities have been recommended, and these are being implemented to reduce risk factors for chronic diseases [5]. However, most intervention trials have been conducted in high-income countries [6-8] and few in the low- and middle- income countries [9-13]. The trials carried in high-income countries may not be effective in low- and middle- income countries, specially India, as interventions need to be developed considering diverse cultural, socio-demographic and economic factors [14]. Most of the studies carried out in low- and middle-income countries in the school settings among adolescents have either focussed on one of the risk factors [9, 10] or have implemented interventions of shorter duration [11, 12]. Most of these studies also lack any theoretical basis for the intervention development and implementation [15, 16]. Evidence suggests that interventions should be based on behaviour change theories or models to be more effective in the targeted populations [17-19]. As chronic diseases of adulthood result from behavioural risk factors that usually begin during early Adolescence [20-22], interventions should target adolescents. However, only a few randomised controlled trials (RCT) have been carried out among adolescents in the school settings of Low-middle Income countries [9, 12]. Moreover, none of these studies have included parents and teachers even though both school and home environments may influence adolescents [9, 12]. Hence, we have designed a study to evaluate the effectiveness of a school-based health promotion intervention package in improving behavioural risk factors among adolescents, their teachers, and parents. The null hypothesis of the study is: School-based health promotion intervention will not lead to any change in dietary intake of salt (g/day), sugar (g/day), fruits (g/day) and vegetables (g/day), physical inactivity (%), tobacco and alcohol use (%), anthropometric (height, weight, waist circumference, hip circumference, mid-upper arm circumference, subscapular and triceps skinfold thickness), physiological (blood pressure) and biochemical (fasting plasma glucose and urinary sodium excretion levels) measures among adolescents. The alternate hypothesis of the study is: School-based health promotion intervention will lead to change in dietary intake of salt (g/day), sugar (g/day), fruits (g/day) and vegetables (g/day), physical inactivity (%), tobacco and alcohol use (%), anthropometric (height, weight, waist circumference, hip circumference, mid-upper arm circumference, subscapular and triceps skinfold thickness), physiological (blood pressure) and biochemical (fasting plasma glucose and urinary sodium excretion levels) measures among adolescents.

Materials and methods

Study area

The study will be carried out in public schools of Chandigarh city in India. Chandigarh is a Union Territory (UT) and capital of two states—Punjab and Haryana. It has a total population of around one million. Out of 188 schools, 115 are public, and 73 are private [23]. The school timings are from 8 AM to 2 PM in most public schools, with each subject period of 35 minutes duration. Most schools have a ’zero period’ in a day, which is free time for adolescents. The ’zero periods’ are a good time for intervention implementation without disturbing the overall school routine of the adolescents.

Study design

A cluster randomised controlled trial (cRCT) design will be used in which 12 schools will be randomly selected from the list of 115 public schools. The randomly selected twelve schools (clusters) will be stratified based on the household income of the study participants. Using stratified random sampling equal number of clusters from each of the income strata will be randomly allocated to the intervention and control arms. This stratified random sampling will be employed to balance the potential confounders and reduce between-cluster variance for estimating the true effect of the intervention [24]. The second author (MK) will conduct randomisation procedures to assign the schools and participants to the intervention and control arms. Whereas, First Author (SK) will enrol the participants. Formative research will also be carried out to understand the social environment and other contextual factors. Study design features, participant’s enrolment, intervention period, and study variables at baseline and end-line analysis are summarised in Fig 1. The study was registered under the Clinical Trial Registry of India (CTRI/2019/09/021452; 30/09/2019).
Fig 1

Study flow design.

Study participants

The study participants will include school students of 8th grade (age range 10–16 years), their parents and teachers. The purpose of selecting adolescents in this age group is to catch them ’young’, when behavioural risk factors of chronic diseases start to emerge [18]. Either of the parents (mother or father) or guardian will be recruited into the study based on adolescent choice, parents’ consent and their time availability. The teachers who have direct interaction with study adolescents for a more extended time, such as class teachers, subject teachers, physical education teachers, counsellors, or the person in charge of the mid-day meal or medical assistant, will also be selected for the study.

Inclusion and exclusion criteria

Public schools of UT Chandigarh will be eligible for participation in the study. Consenting participants residing in the study area and not intending to leave that area in the next year from the time of recruitment will be included in the study. Only adolescents studying in 8th grade and their parents and teachers below 65 years will be enrolled.

Sample size

A total of 12 clusters (schools) are sampled based on the formula mentioned below: Where c is the number of clusters required, f = 7.84 for 5% type I error and 80% power, π is the expected proportion of the risk factor in the intervention arm, π is the expected proportion of risk factor in the control arm, m is the number of individuals in each cluster (assumed equal in all clusters), and k is the coefficient of variation in the (true) rates or proportions between clusters in each treatment arm. As most of the schools have a class strength of about 30 students in 8th grade, the size of the cluster (m) is taken to be 30 students. The c value for each primary outcome is calculated separately using data from the previous studies, as shown in Table 1 [25-29]. The maximum c value, out of all four risk indicators, is considered the sample size for the study.
Table 1

Sample size estimation based on the prevalence of risk factors of chronic diseases among adolescents.

Risk Factor π 0 π 1 K C
Inadequate fruits and vegetable intake0.8520.5960.02512.2
High salt intake0.2230.1620.09412.1
High sugar intake0.480.340.04112.5
Physical inactivity0.2320.1620.09912.1
Tobacco use0.0490.0340.16311.4
Alcohol use0.3450.2420.05712.4
Thus, a sample size of 360 students (12 clusters x 30 students per cluster); 180 each in the intervention and control arm is estimated to provide valid statistical inference about the impact of the intervention. As one of the selected student’s parents will also participate in the study, the sample size for parents will also be 360. Lastly, it is observed that on average about seven teachers are in direct interaction with the students of 8th grade; therefore, the sample size of teachers will be 84 (12 clusters x 7 teachers). For the formative research, about ten Focus Group Discussions (FGDs) will be carried out with participants from the study area. Out of ten FGDs, four will be with the students (2 male, two female), four with their parents (2 fathers, two mothers), and two with teachers (1 male, one female). Each of the FGDs will include a minimum of 5 and a maximum of 8 participants.

Sampling method

Twenty-four schools (double the required number of twelve schools) will be randomly chosen by using a random number table from the list of 115 public schools in Chandigarh city [30]. Administrators of these 24 schools will be approached from the list sequentially for obtaining their consent. For each refusal, the next school on the list will be approached. After receiving approval from the first twelve schools, the list will be closed. From within the 12 selected schools, 12 clusters will be selected randomly using the following procedure. As each school has four eighth grade sections, namely, A, B, C and D, a number will be assigned on folded paper slips for all the sections of the 8th-grade class. Later, a slip will be randomly selected from the shuffled lot by a person other than the researcher. The section number in the slip will then be selected as the cluster for the study. The method mentioned above will be applied to choose a section of 8th grade in each of the selected twelve schools. Adolescents studying in 8th grade are between 10–16 years of age. It is known from the literature that; six-month intervention is sufficient to bring out the desired behaviour change. But the biochemical measures are not impacted, which has been the basis for developing the study’s outcomes [31, 32].

Outcomes

The primary outcomes of the study will be the change in dietary intake (g/day) of sugar, salt, fruits and vegetables, physical activity (metabolic equivalent/minute/week), current tobacco and alcohol use (%) among adolescents, pre-and post- health promotion intervention implementation in both the intervention and control arms. Secondary outcomes will include changes in body mass index (kg/m2) blood pressure (mmHg), and urinary sodium excretion (mg/day)) among adolescents of both intervention and control arms before and after the delivery of the intervention package.

Intervention development

The intervention is based on the PRECEDE-PROCEED model (PPM) to increase the likelihood of effectiveness [33, 34]. This model will inform the development, implementation, and evaluation of the health promotion intervention as described in the Fig 2. The intervention design will be developed by systematically using various phases of the PPM, as described below.
Fig 2

PRECEDE-PROCEED model adapted from Green and Kreuter (1999) [34].

Phase 1 social diagnosis

Formative research will be conducted to understand participants’ social environment and their level of awareness regarding behavioural risk factors for chronic diseases.

Phase 2 epidemiological and behavioural diagnosis

Epidemiological diagnosis will focus on specific health issues like the prevalence of chronic diseases, and behavioural diagnosis will deal with risk factors such as unbalanced diet, physical inactivity, tobacco and alcohol use. These factors will be assessed through a cross-sectional survey. The end-line survey will be carried in both arms using the same methods, tools, apparatus and following the same study participants as the cross-sectional survey. So, this cross-sectional survey will also form the baseline for the present study.

Phase 3 educational and ecological diagnosis

In this phase, social and environmental factors leading to specific behaviours will be identified from the data collected through formative research and baseline assessment. The prevalence of behavioural risk factors among the participants from baseline data will help frame the objectives and inform the intervention development.

Phase 4 intervention alignment

This phase will involve consultation with adolescents, parents, and teachers to develop the intervention. To strengthen the intervention, findings from focus group discussions will be utilised to understand ’participants’ requirements and suggestions regarding the intervention. Additionally, a consultation workshop will be held, where teachers of all the selected schools will participate. The study objectives and a draft of the intervention plan will be presented to them, and their suggestions for improving the intervention plan will be sought. An intervention module for both adolescents, parents and teachers will be prepared. The intervention package will consist of: Interactive Learning Sessions: In the classroom settings, lecture and discussion sessions will be conducted with all participants on behavioural risk factors of chronic diseases. These will be focused on primarily the importance of a balanced diet, especially about the intake of adequate amount of seasonal fruits and vegetables, and recommended levels of salt and sugar as per WHO guidelines, ways to measure salt and sugar in home-cooked food using measuring tea-spoons, calculating amounts of salt and sugar in processed foods by reading labels, harmful effects of tobacco and alcohol use, the importance of physical activity, and secondarily on the ways to manage hypertension and diabetes including adherence to medicine. Activities such as poster making for a balanced diet debates on processed food, salt and sugar consumption, and tobacco and alcohol use will also be conducted. Physical Activity Sessions: Students will participate in physical activities such as sports and athletics under the supervision of a physical training instructor for 30 minutes 4 times per week. Peer to Peer Sessions: Students will be encouraged to share their experiences of avoiding tobacco and alcohol use [35]. Besides this, a pamphlet containing information on chronic diseases’ risk factors will be given to all study participants. As outlined in Table 2, a ’Behaviour Change ’Communication’ (BCC) Matrix will be prepared for deciding on the messages, channels, modes of communication, and indicators for change before implementing the intervention. The channel of communication will be inter-personal two-way communication, including audio-visual and digital communication. This matrix will be one of the crucial highlights of the present study as most of the earlier studies lacked this kind of micro-planning before implementing the intervention in the school settings [36].
Table 2

Behaviour change communication matrix for health promotion interventions to reduce chronic disease risk factors in public schools in Chandigarh, India.

Communication objectivesAudienceBarriersOpportunitiesActivitiesPerson responsibleFrequency & time in one clusterChannel of communication
(six month)
• To promote the recommended levels of salt, sugar, fruits and vegetable intake, and physical activity and reduction in the use of tobacco and alcoholTeachers: Teachers in direct interaction with randomly selected clusters (sections of 8th grade)Different class schedules of the teachersSchool hours are the best time to interact with teachers in groupsEducational Sessions with teachers keeping communication objectives in focusResearcherFour sessions of thirty minutes during intervention periodVerbal (2-way communication)
Parents of adolescents from randomly selected clustersNot all parents are available at the time of the parents-teachers meeting in schools• Utilising home environment for promoting healthy diets by educating parents (as mostly, mothers are the food makers of the house) on the harmful effects of excessive intake of salt & sugar and less consumption of fruits and vegetablesEducational Sessions with parents keeping communication objectives in focusResearcherFour sessions of thirty minutes during intervention periodVerbal (2-way communication)
• The Parents Teacher Association (PTA) meetings may be used to interact with parents in school settings
• To manage hypertension and diabetes by discussing the importance of medicine adherencePrimary audience: Adolescents of the randomly selected clusters (sections of 8th grade)• Vendors outside school premises• To catch adolescents before risky behaviours start developingEducational classes and classroom discussionsResearcher30 minutes session every weekVerbal (2-way communication) & Digital audio-visual method (PowerPoint presentation using the laptop)
Secondary audience: Parents & teachers of adolescents• Unhealthy food options in the school canteens• Using schools as a platform for promoting healthy behavioursPhysical activity sessionsResearcher/ physical education teachersFour sessions every week with each session of 30 minutesVerbal (2-way communication)
• Study load (tuitions after school hours & homework)Other interactive activities: Poster making competition & grow your own herbsResearcherTwo sessions during intervention period with each session of about 45 minutesVerbal (2-way communication)
• Stringent school time-tablePeer-to-peer education for reduction in the use of tobacco and alcoholResearcherOne session every month with each session of 15 minutesVerbal (2-way communication)

Phase 5—Intervention implementation

Intervention arm. The intervention will focus on building adolescents’ self-efficacy at the micro-level and that of parents and teachers at the meso level. Intervention implementation strategies, presented below, will be based on three components: Capability, Opportunity and Motivation as per the Behaviour Change Wheel [5]. Parents and teachers are involved in providing a supportive environment for adolescents at home and at school to promote positive behaviour change early in life. Creating awareness by providing information on healthy dietary habits, the importance of physical activity, and the harmful effects of tobacco and alcohol use. Promotion of consumption of less expensive and more nutritious seasonal fruits and vegetables. Avoiding food high in sugar and salt content and refraining from tobacco and alcohol use. Substituting snacks with fruit and vegetable salads. Motivating the participants in reducing salt and sugar consumption by using measuring spoons while cooking as per the WHO recommendations. Promoting kitchen gardening encourages participants to grow herbs and spices in earthen pots as herbs can reduce salt usage. Herbs and spices also add flavours and enhance the taste of food in places of salt. Highlighting potential cost savings for individuals by creating awareness among participants regarding the benefits of eating more fruits and vegetables, eating less sugar and salt, increasing physical activity, and reducing or stopping the use of tobacco and alcohol to prevent chronic diseases, which in turn will help to reduce medical expenses related to chronic diseases. Providing opportunities for playground activities in school to increase the level of physical activity among adolescents. Encouraging peer to peer learning for motivation and support for not using tobacco and alcohol. A micro plan will be prepared to ensure intervention adherence. It includes providing measuring tea-spoons of 5g to all the participants to promote the recommended amount of salt and sugar in their daily routine. For physical activity, four outdoor game sessions of 30 minutes each will be carried with the help of the respective physical education teachers in all six schools every week. For tobacco and alcohol, peer-to-peer sessions will also be held once every month to create awareness among adolescents regarding the harmful effects of alcohol and tobacco consumption. Interventions will be implemented by the researcher (SK) in a school setting over six months. For adolescents, interventions will comprise interactive learning sessions of 30 minutes duration per week and a physical activity session of 30 minutes four times per week. Educational sessions will be conducted for parents and teachers for 30 minutes four times during the intervention period. Besides the lecture and discussion, at least fifty percent of the time will be allocated to poster making, debates, and experience sharing. Control arm. Participants of the control arm will be provided with a pamphlet in the local language so that all study participants, especially parents, can understand the information easily. This pamphlet will be based on the dietary recommendations of the National Institute of Nutrition (NIN), India [37]; the levels of physical activity for both adolescents and adults, salt and sugar consumption, and consequences of tobacco and alcohol as per World Health Organization recommendations [38-42]. Study participants will be requested to read the information in the pamphlet in their own time and convey the same information to their family members. The same pamphlet will also be provided to the participants in the intervention arm.

Phase 6 process and impact evaluation

Process evaluation to be initiated at the time of intervention implementation to assess whether the intervention is being implemented as per the plan, to analyse the factors facilitating and hindering the use of the health promotion intervention, and for identifying processes that require improvement. Information regarding the uptake of intervention, changes incorporated in behaviours, the number of adolescents following the behaviours and the number of them conveying the same to their family members will be collected in writing. This information will be recorded by interviewing the adolescents once in the intervention arm. Outcome evaluation will be done after six months to examine the impact of the intervention on the outcome indicators. The Difference-in-Differences (DID) method will be used to assess net changes after implementing the health promotion intervention in both the control and the intervention arm [43, 44].

Data collection

The dietary behaviour assessment will be through the Multiple-Pass Method by using two 24-hour dietary recalls on non-consecutive days during weekdays. After a thorough explanation of the dietary tool, all the adolescents in the same cluster will fill their forms themselves (self-administration). Whereas in-person interviews will be carried out with parents and teachers. The first 24-hour dietary recall collection will be during the first interaction with all the participants in the schools. The second 24-hour dietary recall collection will be a week later. The researcher will carry out all the interviews with parents and teachers and explain the tool to adolescents [45]. Data collected through the 24-hour dietary recall will be analysed using the PURE study software [46]. This software uses National Institute of Nutrition (NIN) dietary guidelines for Indians to calculate the quantity of various macro and micronutrients from the quantity of various food items consumed by a person in a day. Using this software daily intake of sugar (g), salt (g), fruits (g), and vegetable (g) will be estimated. The participants’ nutrient intake will also be compared against the recommended dietary allowances according to NIN dietary guidelines [35]. Validated physical activity tools based on a seven-day recall period will be used. Physical Activity Questionnaire for Adolescents (PAQ-A) will be used, and for parents and teachers, Short International Physical Activity Questionnaire for Adults (IPAQ) will be used [47, 48]. The data on adults’ physical activity level will be converted into Metabolic equivalent (MET) using the manual of IPAQ [48]. Physical activity will be further categorised using the scale provided in the user manual [48]. For adolescents, the PAQ-A user manual will be used to compute a composite physical activity score. It will be categorised into mild, moderate and high according to the scale provided in the PAQ-A manual [47]. Previous and current use of tobacco and alcohol among adolescents and adults (parents and teachers) will be assessed using WHO’s GSHS and STEPS tool guidelines, respectively [49, 50]. Standard equipment and procedures will be used for anthropometric, physiological and biochemical measures. Standard operating procedures will be developed to maintain uniformity and standardisation in sample collection and analysis. For anthropometric measurements, ’ ’UNICEF’s standardised anthropometer will be used to measure the height to the nearest 0.1 cm. The portable electronic weighing scale will be used to measure the weight to the nearest 0.1 kg with minimum clothing and no shoes. Similarly, hip circumference (HC), waist circumference (WC), and Mid Upper Arm Circumference (MUAC) will be measured to the nearest 0.1 cm by using a fibreglass measuring tape. Further, triceps Skinfold Thickness (TST) and Sub Scapular Skinfold Thickness (SSFT) will be measured to the nearest 0.1 mm using Lange’s skinfold calliper. Hand Dynamometer will be used to measure the maximum grip strength (average of three readings with a gap of one minute between each reading). Blood pressure (average of three readings) will be recorded for all participants using a digital sphygmomanometer (Omron). These instruments will be regularly calibrated as per standard requirements. The portable digital weighing scale will be checked for needle at ‴zero’ and calibrated after every 20th reading. ’ ’Lange’s skinfold calliper will also be checked for needle at ‴zero’ before every reading, and it will be calibrated using calibration block after every 20th reading. Similarly, the hand dynamometer and digital sphygmomanometer will also be calibrated by following the instruction in their standard manual after every 100th reading. Also, fibreglass tape will be used for measuring hip, waist and mid-upper-arm-circumference as it is resilient to any wear and tear and does not expand in warm weather conditions as an ordinary measuring tape. Body Mass Index (BMI) will be calculated from the formula: weight (kg) divided by height (m2). The calculated BMI will be categorised into underweight, normal, overweight, and obese as per the World Health Organization (WHO) cut-offs for adults (parents and teachers). For adolescents, their age and the gender-specific WHO growth reference chart will be used to categorise their BMI into severe thinness, thinness, normal, overweight, and obese. For biochemical measures, blood samples (2 ml in Fluoride vial and 3 ml plain vial) will be obtained to estimate plasma glucose (mg/dL), total serum cholesterol (mg/dL), high density lipoprotein (mg/dL), low density lipo-protein (mg/dL) and triglycerides (mg/dL). Twenty-four-hour-urine and spot urine sample also will be collected to estimate the level of urinary sodium excretion (mg/day). Explicit instruction on fasting will be given to all participants a day before collecting fasting blood samples. Similarly, they will also receive instructions regarding the process of 24-hour urine and spot urine collection. And urine collection containers will also be provided to them. They will be instructed to discard the first void of the morning and then start collecting the subsequent voids for the next 24 hours. They will also be advised to note down the time of their voids and whether they have collected each void in the collection container or not for the 24 hours period using a structured proforma. Blood samples for fasting plasma glucose and lipid profile and 24-hour and spot urine samples for urinary sodium excretion (mg/day), potassium, and chloride will be analysed using standard laboratory methods. Standard cut-offs will be used for adolescents and adults, respectively. A team of three members, including the first author (SK) and two field investigators, will be involved in data collection. The field investigators will be qualified up to the graduation level and receive training for data collection. One of the investigators will be a laboratory technician for blood collection. Neither the investigator nor the data collectors will be blinded to the intervention. After obtaining written informed consent of the study participants, questionnaires will be provided to them for writing their responses to questions in the classroom setting after that, anthropometric and blood pressure measurements will be taken. Finally, instructions for the collection of blood and urine samples will be provided. Specific days will be fixed for the collection of blood samples in the school setting and urine samples from the home setting. Before the final data collection, pilot testing will be undertaken to assess the adequacy of study tools and test the feasibility of implementing study protocol in school settings. A senior faculty member working in health promotion will do quality control of the data collection process. In addition, a Doctoral Committee comprising of seven faculty members of the institute, working independent from the sponsor and competing interests, has been explicitly constituted for data monitoring and progress evaluation of this project. The first author (SK) will be the implementer and evaluator of the intervention.

Statistical analysis

The quantitative data analysis will be performed using the Statistical Package for Social Sciences (SPSS) version 21 based on intention-to-treat analysis. The complexity of cluster sampling design will be taken into consideration during the analysis. Descriptive statistical analysis will include the sample mean (along with standard deviation) and proportions according to the variable types. ANOVA and Chi-square test will be used to compare the statistical significance of continuous and categorical variables. Within-group changes in quantitative variables from baseline to end-line at six months will be analysed using a paired t-test. Unpaired t-tests will be applied for assessing between-group comparisons. Multivariable regression analysis will be used to explore potential differences between groups (e.g., socio-economic status, age, and gender). The linear mixed-effects models will be used to estimate Difference-in-Differences (DiD) to assess the net effect of the intervention on primary and secondary outcome measures among adolescents. The net changes in primary and secondary outcome measures among parents and teachers will be considered as exploratory analysis [43]. Intention to treat analysis will be considered for the correlation between measures and loss of follow-up [51].

Ethical considerations

Ethical permission has been obtained from the Post-Graduate Institute of Medical Education and Research, Chandigarh (INT/IEC/2018/000082; Date: 22/ 01/2019). Permission has already been granted for the selection of schools by the Department of Education, Chandigarh. Written assent of adolescents and consent for teachers and parents will be obtained after informing them about the study purpose, data to be collected, estimated time for data collection, the confidentiality of the data, and risks involved, before their enrolment in the study. As this is a behavioural intervention study, it involves no potential harm to the study participants. The reports for fasting plasma glucose, lipid profile, urinary sodium excretion, potassium and chloride levels will be given to the participants. Participants with blood pressure above 140/90 mmHg and abnormal blood or urine test reports in both the study arms (intervention and control) will be referred to the local health centre’s doctors. Any modifications in the protocol will be conveyed to the institute ethics Committee after approval from the Doctoral Committee. These changes will be regularly updated on the Clinical Trial Registry-India. No later than three years after collecting the 1-year end-line assessment, we will deliver a wholly deidentified data set to an appropriate data archive for sharing purposes.

Discussion

Behavioural risk factors for chronic diseases, such as unhealthy dietary habits, low physical activity levels, and tobacco and alcohol consumption, develop during early adolescence [2]. It is essential to ’catch them young’ to prevent the development of these risk factors into various intermediate conditions, including obesity, high blood pressure, elevated blood lipids and glucose levels, which can lead to various chronic diseases in adulthood [52]. If health promotion interventions are carried out in school settings, the effects could diffuse to many people and prove beneficial at a population level [53]. The use of health promotion interventions involving various interactive educational activities can effectively change individuals’ behaviour [54]. However, there are several limitations with previous studies. Most of the previous studies have targeted individuals at high risk of disease, as they are more motivated than the general population [55]. Secondly, the control group did not receive any intervention in some trials, raising questions on the study’s validity [56]. Thirdly, most studies did not have a theoretical framework to support the health promotion intervention [15, 16, 57]. Lastly, those studies conducted at the school setting level had explicitly focused only on school-going children. They did not look into the effect of the intervention on the behaviours of teachers or their parents [9, 12, 58]. The findings of our study will reveal the impact of health promotion interventions implemented in a school setting, not only on school children but also on their teachers and parents.

Methodological considerations

The ability to measure any change requires the use of robust assessment methods. The 24-hour dietary recall methods have emerged as a reliable and helpful tool for dietary intake measurement compared to other tools, such as the Food Frequency Questionnaire (FFQ) [45]. We will use 24-hour dietary recall on two non-consecutive days as it has been shown to give a precise picture of individual dietary habits when taken on two or more times on non-consecutive days. The use of the 24-hour dietary recall tool became necessary in Indian settings as it imposes less burden on the participants when compared to other nutritional assessment tools. One of the limitations of using 24-dietary recall is underestimating the salt (sodium) intake [59]. Additionally, the salt intake will also be estimated through urinary sodium excretion from 24-hour urine samples collected for all the participants at the baseline survey, which is considered as the gold standard for evaluating salt intake [60-62]. In addition, urinary sodium excretion will also be assessed for all the participants through spot urine samples collected at the baseline and the end-line survey.

Strengths and limitations

Before the final data collection, pilot testing will be undertaken to test the protocol’s feasibility and assess research instruments adequacy. Pilot testing will also aid in identifying problems that could arise later in data collection [63]. Cluster RCT design has been chosen over an individual RCT to minimise the threat of any intervention contamination. The use of the randomisation process throughout the sampling procedure helps in minimisation of any potential selection bias. Another strength of the study is using previously validated and pretested tools in the Indian scenario, standard apparatus, and methodological guidelines of data collection for the anthropometric, physiological, and biochemical measures. Difference in difference (DID) method will help assess the intervention’s true effect by not underestimating or overestimating the effect due to factors other than the intervention. Formative research, community consultation, and PRECEDE-PROCEED model for planning, implementation, and evaluation would help design a pragmatic intervention with potential for scale-up if found effective. One of the potential limitations of the study is the non-inclusion of private sector schools. The significant implication of excluding private schools is that it may lead to a lack of representation of participants across various socio-economic groups, limiting generalizability.

Conclusion

Chronic diseases are on the rise. Hence, researchers, policymakers, and program implementers need to focus on evidence-based strategies for preventing the emergence of risk factors. Health promotion interventions implemented in the school setting simultaneously targeting adolescents, teachers, and parents could be more cost-effective. The PRECEDE-PROCEED model for planning, implementation, and evaluation of the intervention in a cluster Randomized Controlled Trial design with DID analysis could objectively assess the impact of scaling up primordial prevention to stem the tide of chronic diseases.

SPIRIT checklist.

(DOC) Click here for additional data file.

Institute’s ethics committee approved protocol.

(DOCX) Click here for additional data file. 19 Aug 2021 PONE-D-21-16936 Health Promotion Intervention to Prevent Risk Factors of Chronic Diseases: Protocol for a Cluster Randomized Controlled Trial among Adolescents in School Settings of Chandigarh (India) PLOS ONE Dear Dr. Kaur, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. Please submit your revised manuscript by Sep 27 2021 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. Please include the following items when submitting your revised manuscript: A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'. A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'. An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'. If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter. If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see:  http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols . Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at  https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols . We look forward to receiving your revised manuscript. Kind regards, Rosely Sichieri Academic Editor PLOS ONE Journal Requirements: When submitting your revision, we need you to address these additional requirements. 1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf Additional Editor Comments (if provided): I think the MS is appropriate for the journal. Major issue is the lack of a clear objective of the study "Primary outcomes will be change in prevalence of behavioral risk factors from pre- to post-intervention. Changes in anthropometric, physiological, and biochemical measures will be the secondary outcomes." The objective should be translated into a hypothesis to be tested. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Does the manuscript provide a valid rationale for the proposed study, with clearly identified and justified research questions? The research question outlined is expected to address a valid academic problem or topic and contribute to the base of knowledge in the field. Reviewer #1: Yes Reviewer #2: Yes ********** 2. Is the protocol technically sound and planned in a manner that will lead to a meaningful outcome and allow testing the stated hypotheses? The manuscript should describe the methods in sufficient detail to prevent undisclosed flexibility in the experimental procedure or analysis pipeline, including sufficient outcome-neutral conditions (e.g. necessary controls, absence of floor or ceiling effects) to test the proposed hypotheses and a statistical power analysis where applicable. As there may be aspects of the methodology and analysis which can only be refined once the work is undertaken, authors should outline potential assumptions and explicitly describe what aspects of the proposed analyses, if any, are exploratory. Reviewer #1: Partly Reviewer #2: Yes ********** 3. Is the methodology feasible and described in sufficient detail to allow the work to be replicable? Descriptions of methods and materials in the protocol should be reported in sufficient detail for another researcher to reproduce all experiments and analyses. The protocol should describe the appropriate controls, sample size calculations, and replication needed to ensure that the data are robust and reproducible. Reviewer #1: No Reviewer #2: Yes ********** 4. Have the authors described where all data underlying the findings will be made available when the study is complete? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception, at the time of publication. The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: No ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: No ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above and, if applicable, provide comments about issues authors must address before this protocol can be accepted for publication. You may also include additional comments for the author, including concerns about research or publication ethics. You may also provide optional suggestions and comments to authors that they might find helpful in planning their study. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: This paper represents an interesting study protocol that will investigate the impact of a school-based health promotion intervention on the risk factors of chronic diseases in students of 8th grade, their parents and teachers. I have some questions. Major issues: 1. The choose of primary and secondary outcomes are not instinctive. It would be more appropriate if the authors designed the study to impact on anthropometric, physiological, and biochemical measures, as behavioural risk factors could be considered as measures of adherence to the intervention. 2. Lines 134-136: The authors mention that the selection of the guardian who will participate to the study will be based on the choice of the adolescent. Wouldn't it be more appropriate for the guardians to decide who will participate, based on the time available to do so? Another question related to this: how do the authors intend to encourage parental adherence? 3. Lines 179-182: I understand that all administrators of the 24 pre-selected schools will receive a consent form to participate in the study, but only the first 12 that respond will participate. That being correct, what do the authors intend to do with the other possible positive responses that may arise? I suggest that only 12 consent forms are sent initially and for each refusal that arises, one more is sent. 4. Lines 238-239: As the activities will be aimed at all students enrolled in the 8th grade class, which will include adolescents with and without chronic diseases, I do not consider appropriate to encourage the use of medicine, only behavioral changes. 5. Lines 312-314: It is not clear for me why the authors are planning to use the Difference-in-Differences (DID) method. According to the cited reference (Wing et al., 2018), DID is a quasi-experimental research design often used to study causal relationships in public health settings where RCTs are infeasible or unethical, which is not the case. 6. Lines 385-425: It is important to use statistical analysis that consider the correlation between measures and the loss of follow-up Minor issues: 1. Lines 96-107: I suggest that the authors keep only the general objective of the study, since the specific objectives reported represent steps to be taken to achieve the general objective of the study. 2. Lines 120-123: Please clarify how the intervention and control clusters will cater to a similar socio-economic group. Will the randomization be conducted in blocks? 3. Lines 214-217: Please describe in more details how the survey will be conducted. Will more participants be included? Or just the same ones from the intervention? If they are the same, it is considered a baseline data collection. 4. Lines 306-310: How will these compliance measures be recorded? 5. Lines 316-318: Could the authors please clarify when the 24-hour dietary recall will be collected? Moreover, it will be collected using any software? It will follow the AM-PM method? Reviewer #2: I would like to start by complimenting the authors on this study. It is not easy to implement school-based interventions, and it is an exceptional challenge to conduct a large intervention such as the one documented in the present study in a developing country such as India. Although the authors have done a nice job, some issues concerning the introduction and design of the study should be highlighted. Introduction 1. The introduction section has a logical flow yet lacks sufficient detail on existing literature. Although the majority of intervention trials focused on health promotion in the school setting have been conducted in developed countries, many others from developing one have already been published. Including this literature, is necessary to show what has been established, the knowledge gap(s). I suggest the authors balancing the introduction section with studies from similar economic contexts. 2. What do the authors mean by “Moreover, behaviour change interventions are often based on the perspectives of the researcher”? This sentence is not clear to me. 3. The fact that few studies in India have used theoretical frameworks and also few studies have been conducted among adolescents in the school settings of India is not a justification to conduct this study. Are there few intervention studies conducted in developing countries? The focus should not be on India but on low-to-middle income countries or other similar contexts. The authors need to make clear the gaps identified in the literature and the justification for undertaking the trial. 4. What are the hypotheses of the study? Material and methods 1. In the “study área” section, the authors need to describe how the schools work and the students’ routine. 2. Lines 121-123. The authors should describe in detail how the randomization process was performed (e.g. type of randomization). Also, why did the authors perform the baseline assessment before the randomization? 3. In the “Inclusion and exclusion criteria” section, the authors should also describe the eligibility criteria for the study centres. 4. Line 248 change “Table 3” to “Table 2”. 5. Line 288. How many days per week of interactive learning? 6. Which strategies to improve adherence to intervention protocol will be adopted? And the procedures for monitoring adherence? 7. Line 317. The dietary behaviour assessment should be described in detail. Is the questionnaire self-administered? Interview? Who will conduct the interview? Multiple pass method? Weekdays or weekends? 8. Line 319. Remove “For adolescents”. 9. Is not clear to me who will generate the allocation sequence, who will enroll participants, and who will assign participants to interventions. 10. The statistical analysis to evaluate the effect of the intervention on the rate of change of the outcomes between groups is not adequate. Linear mixed-effect models should be considered by the authors. 11. In my opinion, the authors could remove “MET is the ratio of a person’s working 20 metabolic rate relative to the resting metabolic rate. One MET is defined as energy cost of sitting quietly and is equivalent to caloric consumption of one Kcal/Kg/Hour”. 12. Lines 402 to 425 should be included in the data collection section, according to the respective themes. 13. Figures resolution is low, but may be an issue with the compilation in the upload. 14. Finally, I suggest a final revision for English grammar and word choice. ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: Yes: Vitor Barreto Paravidino [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. 26 Sep 2021 RESPONSE TO EDITOR AND REVIEWER’S COMMENTS Response to The Editor's Comments Editor Comment: I think the MS is appropriate for the journal. Major issue is the lack of a clear objective of the study "Primary outcomes will be change in prevalence of behavioral risk factors from pre- to post-intervention. Changes in anthropometric, physiological, and biochemical measures will be the secondary outcomes." The objective should be translated into a hypothesis to be tested. Response: We thank the editor for the feedback and for coordinating the review process. We have revised the manuscript and addressed Reviewers’ comments. We have incorporated the suggestion and provided the hypothesis on the page no. five (Lines 99-110). General Comment: Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. Response: We have checked and attest that all formatting and style requirements have been met. Response to Comments of Reviewer 1 We thank the reviewers for their time to review the manuscript. We agree to all the issues that have been raised. The response to each of the comments is provided in blue colour. The changes have been made in the manuscript using the ‘track changes’ command. This paper represents an interesting study protocol that will investigate the impact of a school-based health promotion intervention on the risk factors of chronic diseases in students of 8th grade, their parents and teachers. Thank you for your encouraging words. Comments and responses 1. The choose of primary and secondary outcomes are not instinctive. It would be more appropriate if the authors designed the study to impact on anthropometric, physiological, and biochemical measures, as behavioural risk factors could be considered as measures of adherence to the intervention. We thank the reviewer for the suggestion and agree that the behavioural risk factors can be considered for measures of adherence to the intervention. Anthropometric, physiological and biochemical measures do not change in the short span of six months of intervention. While, behaviours do change. For the same reason, anthropometric, physiological and biochemical measures were considered as the secondary outcomes for the trial. Accordingly, we have classified these measures in the manuscript (page no. 10, lines 207-214) and added a reference (Reference no. 29 and 30). 2. Lines 134-136: The authors mention that the selection of the guardian who will participate to the study will be based on the choice of the adolescent. Wouldn't it be more appropriate for the guardians to decide who will participate, based on the time available to do so? Another question related to this: how do the authors intend to encourage parental adherence? Your suggestion is well taken, though we would ask the adolescents about the availability or time of the parent for the trial but ultimately parents would decide who will participate, we had missed it while writing. It has been clarified now at page no. 7 (Lines 145-147). 3. Lines 179-182: I understand that all administrators of the 24 pre-selected schools will receive a consent form to participate in the study, but only the first 12 that respond will participate. That being correct, what do the authors intend to do with the other possible positive responses that may arise? I suggest that only 12 consent forms are sent initially and for each refusal that arises, one more is sent. We surely intended the same. The list of 24 randomly selected schools will be followed in sequence. For every refusal, the next school on the list will be approached. The first twelve schools from the list, consenting to be part of the trial will be enrolled in the study. Now, it has been clarified in detail at the page no. 9 (Lines 192-195). 4. Lines 238-239: As the activities will be aimed at all students enrolled in the 8th grade class, which will include adolescents with and without chronic diseases, I do not consider appropriate to encourage the use of medicine, only behavioral changes. We thank the reviewer for the comment. We would like to explain that during intervention, the primary focus will be on the four risk factors, i.e., diet, physical activity, tobacco and alcohol use. The medicine adherence will be in only one session in schools from the intervention arm. The session's focus will be to help family member if anyone having any chronic diseases, such as diabetes and hypertension, know the importance of adhering to the medicine for the management and in case anyone develops these diseases later, they know the importance of adherence to prescribed medicines. It is explained on the page no.11 and 12 (Lines 248-254). 5. Lines 312-314: It is not clear for me why the authors are planning to use the Difference-in-Differences (DID) method. According to the cited reference (Wing et al., 2018), DID is a quasi-experimental research design often used to study causal relationships in public health settings where RCTs are infeasible or unethical, which is not the case. With thanks to the reviewer for this vital comment, we would like to clarify that it is evident from the literature that there may be effects of confounders even in the Cluster Randomized Controlled Trials (cRCTs) particularly when number of clusters are small. We have only 6 clusters in intervention and 6 clusters in control arm. As mentioned in the earlier cited reference, the DID design aims to adjust for hidden confounders to eliminate biases from the group- or time-invariant factors. So, to adjust any of the hidden confounders between the control and intervention arms, we have planned to use the Difference-in-Differences (DID) method for the present Randomized Controlled Trial. Please see additional reference no. 42 that clarifies the use of DID in the present study. We will also present results of intervention and control arm as is done traditionally in the analysis of cRCTs. 6. Lines 385-425: It is important to use statistical analysis that consider the correlation between measures and the loss of follow-up Yes, we agree and thank the reviewer for the suggestion. We have now added the details of the statistical analysis for correlation between measures and the loss of follow up at the page no. 21 (Lines 474-475). 7. Lines 96-107: I suggest that the authors keep only the general objective of the study, since the specific objectives reported represent steps to be taken to achieve the general objective of the study. We agree and thank the reviewer for pointing this out. As the comment suggests, we have revised the specific objectives to general hypothesis to be testes with details given at page no. 5 (Lines 99-110). 8. Reviewer comment 8: Lines 120-123: Please clarify how the intervention and control clusters will cater to a similar socio-economic group. Will the randomization be conducted in blocks? Yes, randomisation will be conducted in the blocks. We would like to clarify that after the baseline assessment of the trial, the income quartiles will be calculated based on information received from parents. Then average income of all twelve clusters will be calculated. This average income of the clusters will be used to categorize them into the different income quartiles. Then clusters having similar socio-economic status would be grouped in blocks. Lastly, half of the clusters from each income quartile group will be randomly allocated to the intervention arm and half to the control arm. It has been further clarified in Figure 1 at page no. 7 and lines 125-134. 9. Lines 214-217: Please describe in more details how the survey will be conducted. Will more participants be included? Or just the same ones from the intervention? If they are the same, it is considered a baseline data collection. After the intervention implementation, end-line survey will be carried in both arms, on the same study participants who will be included in the base-line survey using the same methods, tools, and apparatus as will be done in the baseline survey. Same has been mentioned in lines 230-233. 10. Lines 306-310: How will these compliance measures be recorded? The process of compliance measurement to be used has been explained at page no. 16 (lines: 354-361). A mid-intervention process evaluation will be carried out for measuring compliances. The mid-intervention process evaluation will provide information regarding the number of participants who attended various educational sessions, consideration about usefulness of intervention, reports of changes incorporated in behaviours, and the number of adolescents conveying the newly acquired information to their family members. These data will be recorded by interview of the adolescents in the intervention arm. 11. Lines 316-318: Could the authors please clarify when the 24-hour dietary recall will be collected? Moreover, it will be collected using any software? It will follow the AM-PM method? Thanks to the reviewer for seeking clarification on this important aspect of the dietary data collection. The first 24-hour dietary recall collection will be during the first interaction with all the participants in the schools. The second 24-hour dietary recall collection will be a week later. As the data collection of the 24-hour dietary recall will be manual and recorded in writing, so the Multiple-Pass Method is used and not the Automated Multiple Pass Method (AM PM). Later, the data will be entered in software (Excel sheet) for further analysis. These details have been added on page no. 17 (lines: 369-383). Response to Reviewer 2 The authors would like to thank the reviewer for his comments that helped to improve the manuscript. We have addressed all the comments. The response to each of the comment in provided in blue colour. The changes have been made in the manuscript using the ‘track changes’ command. I would like to start by complimenting the authors on this study. It is not easy to implement school-based interventions, and it is an exceptional challenge to conduct a large intervention such as the one documented in the present study in a developing country such as India. Although the authors have done a nice job, some issues concerning the introduction and design of the study should be highlighted. Thank you for your appreciation of the task at hand and keeping our moral high. We have tried our best to answer the issues raised by the reviewer from the very best of our understanding and knowledge. 1. The introduction section has a logical flow yet lacks sufficient detail on existing literature. Although the majority of intervention trials focused on health promotion in the school setting have been conducted in developed countries, many others from developing one have already been published. Including this literature, is necessary to show what has been established, the knowledge gap(s). I suggest the authors balancing the introduction section with studies from similar economic contexts. We agree and have made changes following the suggestions at page no. 4 and 5 (lines:82-98). We have revised the introduction section and highlighted the gaps arising from similar studies from India and other low-middle income countries. 2. What do the authors mean by “Moreover, behaviour change interventions are often based on the perspectives of the researcher”? This sentence is not clear to me. We would like to clarify that what we meant was that most of the previous studies have not used theoretical framework for intervention development and implementation. It is mentioned in the literature that interventions based on theoretical frameworks streamline the development of the intervention. We agree that the statement is not clear and does not convey the message clearly. We have removed the statement from the page no. 5. 3. The fact that few studies in India have used theoretical frameworks and also few studies have been conducted among adolescents in the school settings of India is not a justification to conduct this study. Are there few intervention studies conducted in developing countries? The focus should not be on India but on low-to-middle income countries or other similar contexts. The authors need to make clear the gaps identified in the literature and the justification for undertaking the trial. We thank the reviewer for this insightful suggestion and agree that gaps in the literature need to be clearly mentioned in the 'Introduction' section to justify the study. We have identified gaps from the literature focusing on low-to-middle income countries and made changes at page no. 4 and 5(lines: 82-98). 4. What are the hypotheses of the study? Thanks to the reviewer for the comment. The null hypothesis of the study is: School-based health promotion intervention will not lead to any change in dietary intake of salt (g/day), sugar (g/day), fruits (g/day) and vegetables (g/day), physical inactivity (%), tobacco and alcohol use (%), anthropometric (height, weight, waist circumference, hip circumference, mid-upper arm circumference, subscapular and triceps skinfold thickness), physiological (blood pressure) and biochemical (fasting plasma glucose and urinary sodium excretion levels) measures among adolescents. The alternate hypothesis of the study is: School-based health promotion intervention will lead to change in dietary intake of salt (g/day), sugar (g/day), fruits (g/day) and vegetables (g/day), physical inactivity (%), tobacco and alcohol use (%) , anthropometric (height, weight, waist circumference, hip circumference, mid-upper arm circumference, subscapular and triceps skinfold thickness), physiological (blood pressure) and biochemical (fasting plasma glucose and urinary sodium excretion levels) measures among adolescents. It has been added at page no. (lines: 99-110). 5. In the “study área” section, the authors need to describe how the schools work and the students’ routine. As suggested, we have added the adolescents' daily routine details under the 'Study Area' sub-section at page no. 6 (lines: 118-122). 6. Lines 121-123. The authors should describe in detail how the randomization process was performed (e.g. type of randomization). Also, why did the authors perform the baseline assessment before the randomization? The simple random sampling will be carried for selecting the twenty-four schools from the list of public schools provided on the administrative website using a random number table. Again, following the list of twenty-four schools, the first twelve schools giving consent to be part of the study will be selected. Later, as each school has four eight grade sections, namely, A, B, C and D. Cluster random sampling will be performed using random sampling method to select one section of grade 8th. All adolescents from the selected eighth-grade section will be eligible to participate in the study. The baseline assessment will be carried before the randomization to know the economic status of adolescent’s households. We would like to clarify that after the baseline assessment of the trial, the income quartiles will be calculated based on information received from parents. Then average income of all twelve clusters will be calculated. This average income of the clusters will be used to categorize them into the different income quartiles. Then clusters having similar socio-economic status would be grouped in blocks. Lastly, half of the clusters from each block will be randomly allocated to the intervention arm and half to the control arm. Thus, block randomisation will be done to select schools for intervention and control arm. As the number of clusters is small (6 in intervention and 6 in control arm), this method will be used to have similar economic status distribution in intervention and control arm. It has been further clarified at page no. 6 (lines:125-134). 7. In the “Inclusion and exclusion criteria” section, the authors should also describe the eligibility criteria for the study centres. We agree and have now included the basis for including and excluding schools under the 'Inclusion and exclusion criteria' sub-section at page no. 7 (line:153). 8. Line 248 change “Table 3” to “Table 2”. We thank the reviewer for bringing this typing error to our notice. We have corrected it in the revised manuscript. 9. Line 288. How many days per week of interactive learning? There will be one interactive learning session for 30 minutes in one week for each of the intervention school for six months. This has been explained in detail in the ‘table 2’ given at page no. 15. 10. Which strategies to improve adherence to intervention protocol will be adopted? And the procedures for monitoring adherence? A micro-plan will be prepared ensure intervention adherence. It includes providing measuring tea-spoons of 5g to all the participants to promote the use of the recommended amount of salt and sugar in their daily routine. For physical activity, four outdoor game sessions of 30 minutes each will be carried with the help of the respective physical education teachers in all six schools every week. For tobacco and alcohol, peer-to-peer sessions will also be carried once every month to create awareness among the adolescents regarding the harmful effects of alcohol and tobacco consumption. It has been added at page no. 14 (lines: 302-308). To monitor adherence, mid-intervention process evaluation will be carried during intervention implementation. Information regarding the uptake of intervention, changes incorporated in behaviours, the number of adolescents following the behaviours and the number of them conveying the same to their family members will be collected in writing. This information will be recorded by interviewing adolescents in the intervention arm. 11. Line 317. The dietary behaviour assessment should be described in detail. Is the questionnaire self-administered? Interview? Who will conduct the interview? Multiple pass method? Weekdays or weekends? The dietary behaviour assessment will be through the Multiple-Pass Method by using two 24-hour dietary recalls on non-consecutive days during weekdays. After a thorough explanation of the dietary tool, all the adolescents in the same cluster will fill their forms themselves (self-administration). Whereas in-person interviews will be carried out with parents and teachers. The paper's first author will carry out all the interviews with parents and teachers and explain the tool to adolescents. The same has been added on the page number 17 (lines: 369-383). 12. Line 319. Remove “For adolescents”. We thank the reviewer for bringing this typing error in notice. Extra words from the line have been removed. 13. Is not clear to me who will generate the allocation sequence, who will enroll participants, and who will assign participants to interventions. Second author (corresponding) will generate the allocation sequence and assign the schools and participants to the intervention arm. First Author will enrol participants. The same has been added at the page no. 6 (lines:132-134). 14. The statistical analysis to evaluate the effect of the intervention on the rate of change of the outcomes between groups is not adequate. Linear mixed-effect models should be considered by the authors. Thank you! Yes, we agree and have added it at page no. 21 (lines:471-473) and will use it in analysis. 15. In my opinion, the authors could remove “MET is the ratio of a person’s working 20 metabolic rate relative to the resting metabolic rate. One MET is defined as energy cost of sitting quietly and is equivalent to caloric consumption of one Kcal/Kg/Hour”. We thank the reviewer for the suggestion and accordingly we have removed the above stated lines. 16. Lines 402 to 425 should be included in the data collection section, according to the respective themes. We thank the reviewer for the input. We have included lines as per the themes in the ‘Data Collection’ section at page number 17 and 18 (lines: 368-392). 17. Figures resolution is low, but may be an issue with the compilation in the upload. We have improved the resolution of the figures with the help of a professional as per the journal’s requirements. We have uploaded the revised figures with the improved resolution. 18. Finally, I suggest a final revision for English grammar and word choice. Thank you! As suggested, we have revised the manuscript for the grammar and improved the terminologies. Submitted filename: Response to Reviewers.docx Click here for additional data file. 16 Dec 2021
PONE-D-21-16936R1
Health Promotion Intervention to Prevent Risk Factors of Chronic Diseases: Protocol for a Cluster Randomized Controlled Trial among Adolescents in School Settings of Chandigarh (India)
PLOS ONE Dear Dr. Kaur, Thank for all changes in the new version,  I have 3 new comments, the most important about the design, sorry for not having included them before. 
None of the changes are required for acceptance.
 
Sincerely, 
 
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If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter. A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'. A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'. An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'. If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols. We look forward to receiving your revised manuscript. Kind regards, Rosely Sichieri Academic Editor PLOS ONE Additional Editor Comments: 1- low-middle income is the best definition for in developing countries 2- About the statement that there are almost no studies from middle-income countries: There are few studies conducted in Brazil as shown in the pooled analysis School-based obesity interventions in the metropolitan area of Rio De Janeiro, Brazil: pooled analysis from five randomised studies. Rodrigues RDRM, Hassan BK, Sgambato MR, Souza BDSN, Cunha DB, Pereira RA, Yokoo EM, Sichieri R.Br J Nutr. 2021 Nov 14;126(9):1373-1379. doi: 10.1017/S0007114521000076. Epub 2021 Jan 14.PMID: 33441203 3- I think it is still hard to understand the cluster allocation to treatment or control “ The average income of the clusters will be used to categorise them into different income quartiles. Then clusters having similar socio-economic status would be grouped in blocks. Lastly, half of the clusters from each block will be randomly allocated to the intervention arm and half to the control arm so that the intervention and control cluster caters to a similar socio-economic group”. Only 12 schools will be selected. At best it will be 2 schools per quintile. This is a paired intervention with necessary complex analysis. I would think that choosing a more homogenous population of schools and randomly allocating them to control or intervention would be a more adequate approach. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.
20 Dec 2021 Response to The Academic Editor’s Comments We thank the editor for the comments and for coordinating the review process. We have revised the manuscript and addressed the comments raised by the academic editor. The response to each of the comments is provided in blue colour. The changes have been made in the manuscript using the ‘track changes’ command. 1. Low-middle income is the best definition for in developing countries We agree with the editor’s comment and have changed the term developing countries with a more appropriate term, the ‘low- and middle-income’ countries 2. About the statement that there are almost no studies from middle-income countries: There are few studies conducted in Brazil as shown in the pooled analysis School-based obesity interventions in the metropolitan area of Rio De Janeiro, Brazil: pooled analysis from five randomised studies. Rodrigues RDRM, Hassan BK, Sgambato MR, Souza BDSN, Cunha DB, Pereira RA, Yokoo EM, Sichieri R.Br J Nutr. 2021 Nov 14;126(9):1373-1379. doi: 10.1017/S0007114521000076. Epub 2021 Jan 14.PMID: 33441203. Thank you for bringing to our notice this recent publication (2021). We have added it in line 84 and cited the study with reference number 13. 3. I think it is still hard to understand the cluster allocation to treatment or control “The average income of the clusters will be used to categorise them into different income quartiles. Then clusters having similar socio-economic status would be grouped in blocks. Lastly, half of the clusters from each block will be randomly allocated to the intervention arm and half to the control arm so that the intervention and control cluster caters to a similar socio-economic group”. Only 12 schools will be selected. At best it will be 2 schools per quintile. This is a paired intervention with necessary complex analysis. I would think that choosing a more homogenous population of schools and randomly allocating them to control or intervention would be a more adequate approach. We thank the editor for providing us with a chance to clarify this important aspect of sampling design. There are 115 public schools in the Union Territory of Chandigarh. Data regarding socio-economic variables of students’ households in these 115 schools are not available for the selection of homogenous clusters. Primary data collection on these variables in all 115 public schools for selecting homogenous clusters will be expensive and time-consuming. As the number of clusters to be randomised in both arms are small, i.e., 12 clusters, in random selection, the distribution of socio-economic variables among the clusters selected in the two arms of the study may not be similar, which may confound the trial’s outcome. Hence, in view of limited resources available for the study, we would collect data only in the randomly selected clusters of 12 schools out of the total 115 schools. The data on households economic status will be used to stratify the clusters. Then, using the stratified random sampling method, clusters will be chosen to have a similar distribution of confounding variables in intervention and control arm clusters. We agree that this is a complex sampling design, but in view of the limited resources available, we think the proposed sampling design is more suitable for our study. We have revised the manuscript to convey the sampling design and analysis in a better manner (lines 129 to 133 and 464) and have added a reference (no.24) in the manuscript that supports the use of stratified random sampling in cRCTs specially when the sample size is small. Submitted filename: Response to Reviewer.docx Click here for additional data file. 24 Jan 2022 Health Promotion Intervention to Prevent Risk Factors of Chronic Diseases: Protocol for a Cluster Randomized Controlled Trial among Adolescents in School Settings of Chandigarh (India) PONE-D-21-16936R2 Dear Dr. Kaur, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Rosely Sichieri Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: 2 Feb 2022 PONE-D-21-16936R2 Health Promotion Intervention to Prevent Risk Factors of Chronic Diseases: Protocol for a Cluster Randomized Controlled Trial among Adolescents in School Settings of Chandigarh (India) Dear Dr. Kaur: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Rosely Sichieri Academic Editor PLOS ONE
  46 in total

1.  A one-year follow-up to physical activity and health. A report of the Surgeon General.

Authors:  J R Morrow; A W Jackson; T L Bazzarre; D Milne; S N Blair
Journal:  Am J Prev Med       Date:  1999-07       Impact factor: 5.043

2.  Changing the behavior of healthcare professionals: the use of theory in promoting the uptake of research findings.

Authors:  Martin Eccles; Jeremy Grimshaw; Anne Walker; Marie Johnston; Nigel Pitts
Journal:  J Clin Epidemiol       Date:  2005-02       Impact factor: 6.437

3.  Primary prevention of chronic diseases in adolescence: effects of the Midwestern Prevention Project on tobacco use.

Authors:  M A Pentz; D P MacKinnon; B R Flay; W B Hansen; C A Johnson; J H Dwyer
Journal:  Am J Epidemiol       Date:  1989-10       Impact factor: 4.897

4.  Prevalence of Hypertension and its Risk Factors Among School Going Adolescents of Patna, India.

Authors:  Pragya Kumar; Dhananjay Kumar; Alok Ranjan; Chandra Mani Singh; Sanjay Pandey; Neeraj Agarwal
Journal:  J Clin Diagn Res       Date:  2017-01-01

5.  School promotion of healthful diet and exercise behavior: an integration of organizational change and social learning theory interventions.

Authors:  G S Parcel; B G Simons-Morton; N M O'Hara; T Baranowski; L J Kolbe; D E Bee
Journal:  J Sch Health       Date:  1987-04       Impact factor: 2.118

6.  Designing Difference in Difference Studies: Best Practices for Public Health Policy Research.

Authors:  Coady Wing; Kosali Simon; Ricardo A Bello-Gomez
Journal:  Annu Rev Public Health       Date:  2018-01-12       Impact factor: 21.981

Review 7.  School-based nutrition education: lessons learned and new perspectives.

Authors:  C Pérez-Rodrigo ; J Aranceta
Journal:  Public Health Nutr       Date:  2001-02       Impact factor: 4.022

8.  Accuracy of energy intake data estimated by a multiple-pass, 24-hour dietary recall technique.

Authors:  S S Jonnalagadda; D C Mitchell; H Smiciklas-Wright; K B Meaker; N Van Heel; W Karmally; A G Ershow; P M Kris-Etherton
Journal:  J Am Diet Assoc       Date:  2000-03

9.  School-based obesity interventions in the metropolitan area of Rio De Janeiro, Brazil: pooled analysis from five randomised studies.

Authors:  Renata da R M Rodrigues; Bruna K Hassan; Michele R Sgambato; Bárbara da S N Souza; Diana B Cunha; Rosangela A Pereira; Edna M Yokoo; Rosely Sichieri
Journal:  Br J Nutr       Date:  2021-01-14       Impact factor: 3.718

10.  Fruits and vegetables consumption and associated factors among in-school adolescents in five Southeast Asian countries.

Authors:  Karl Peltzer; Supa Pengpid
Journal:  Int J Environ Res Public Health       Date:  2012-10-11       Impact factor: 3.390

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