Literature DB >> 29270393

Iranian university students lifestyle and health status survey: study profile.

Masoume Mansouri1, Farshad Sharifi2, Mehdi Varmaghani3, Hamid Yaghubi4, Yousef Moghadas Tabrizi5, Maede Raznahan6,7, Alireza Khajavi8,9, Maryam Ghodsi10, Payam Roshanfekr11, Gita Shafiee12, Abasali Keshtkar13, Mahdi Ebrahimi14.   

Abstract

BACKGROUND: The physical health assessment of university students in Iran is a national large scale assessment examining health behaviors among tertiary education students. Understanding risky health behaviors which are the major sources of global mortality and morbidity in adulthood is the key objective of this assessment.
METHODS: In academic year of 2012-2013, newly admitted students (N = 151,671) at 74 governmental eligible universities that had health center from 28 provinces were invited to participate in the health assessment program. The physical health behaviors of the students were evaluated by using questionnaire. The test-retest reliability method was applied to estimate the reliability of physical health questionnaire. After filling out the questionnaires, students were led to the examination room for the measurement of height, weight and blood pressure.
RESULTS: From the total study population, 84,298 student's ages between 18 and 29 years old, were participated in the health assessment. The mean response proportion was 63%. The mean age of students was 21.5 ± 4.01, with 49.20% percent being <20 years old. 32.31% were between 20 and 24 years, 13.44% between 25 and 29 years, 69% of the participants were undergraduate 34.9% were master's students, and 2.9% were Ph.D. students. The mean BMI for total students was 22.5 ± 4.0 and regarding to gender, the mean BMI for male and female were 23.0 ± 4.1 and 22.2 ± 3.8 respectively.
CONCLUSION: Analysis of student's findings will generate multiple studies which report different aspects of physical health of Iranian university students who constitute a large proportion of young adult aged 18-29 years in the country. This assessment also provides opportunity to compare Iranian student's behavioral patterns with the behavioral pattern of students worldwide.

Entities:  

Keywords:  Behavioral patterns; Physical health; Risky health behaviors; University students

Year:  2017        PMID: 29270393      PMCID: PMC5738704          DOI: 10.1186/s40200-017-0329-z

Source DB:  PubMed          Journal:  J Diabetes Metab Disord        ISSN: 2251-6581


Background

The importance of evaluating health behavior in young population

Risky health behaviors are the major sources of global mortality and morbidity in adulthood and the five leading causes of death at a young age are rooted in health risky behaviors [1-3]. For these, development of a youth study program to address risky health behaviors was strongly recommended [4]. Studies also showed, behavioral habits in young people have a direct impact on the risk of developing non-communicable disease (NCDs) later in life [5, 6]. In this, NCDs already account for over 70% of the mortality observed in Iran [7]. Given that health problem in adulthood are preventable by influencing youth behavior [1], health professionals are interested in identifying and correcting the behaviors that causes NCDs at a young age [5]. Iran is home to 24 million young people between the 15–29 years and the health of this population is a priority. According to last census, 25% of total Iranian youth population study at universities [8, 9].Considering tertiary level education, UNESCO educational attainment dataset reveals that, among the countries in the Middle East region, Iran has the highest number of educated people at bachelors and master’s degrees level [10]. In this regard one of the best way to assess the effect of risk factors on the prevalence of common disease in various societies, is through population cohort studies [11]. In the majority of the world’s population cohort studies, the youngest age group enrolled, was 35 years and above. [12-16] which is attributed to lack of access to age groups of 18 to 30 years at the community level or high rates of attrition. Therefore, in countries with high admission rates in academic education, health assessment of university students seems to be an alternative option to obtain health information in these age groups. Furthermore, the number of studies evaluating health assessment in the college students at the international level is limited in various countries. The only major assessment in the world is the Survey entitled “American College Health Association-National College Health Assessment (ACHA-NCHA)” which was developed by ACHA in 1998 [17, 18]. Similarly, very limited number of studies in Iran have investigated health status of college students with a sample size between 200 and 500 [19-21]. It seems, in this age group there is an information gap in the field of behavioral habits which could be a risk factor for NCDs later in life. It should be noted that this study can have two important reasons for this issue: First, age groups of 18 to 29 years of age, usually in most national health surveys or large-scale studies, are not present. Secondly, major national health surveys in most countries of the world are household or family-based and in countries with a significant student population, such as Iran, these groups will not be included in the surveys. Therefore, it is important to focus on the risky behavior of university students to study NCDs. In this survey, we investigated health related outcomes in terms of health habit and behavior, physical and eating habits and personal and familial medical history, using tobacco and physical health; weight, nutrition, exercise and personal safety.

Study design

Counseling and health organization of the Ministry of Science and Technology (CHOMST), has designed mental and physical health assessment of university student in Iran: (MEPHASOUS-Iran) and wants to implement it in universities health centers. The key objective of this assessment is to understand the present health issues and behaviors among university students. Among national studies, this is the first large-scale Iranian health assessment study to compare the protective and risky behavior in university students. Based on the need and resources of the university, the staff members of health center were different from a multidisciplinary team, to a physician, a nurse and one psychologist. Today, health center are established in most universities of Iran. Nevertheless, some universities don’t have health center.

Higher education admission system

The students of governmental universities selected through the national entrance examination which is uniformly designed by the Ministry of Science and Technology (MST). According to the training facilities of the provinces a fixed admission quota system has been set by MST. Under quota system, university students’ admissions create opportunity for students to enter tertiary level education from all the provinces with different culture and socio-economic situation. Furthermore, this type of selection can increase diversity of selected students who can be representative of different cultures and communities which influence patterns of behavior and habits. This population survey was designed based on the findings of student’s health assessment for newly admitted university students in 2012–2013 academic years in governmental universities across the country.

Methods

In recent years CHOMST coordinated by university health centers conducted students’ physical health assessment program yearly, so as to evaluate universities health initiatives and map their health data. Instruction of the program was provided in the summer by expert panel of physical health professionals. Self-administered questionnaire was used to conduct lifestyle evaluation. Different parts of the questionnaire were summarized in Table 1.The detail of the program assessment was announced to the health center of the public universities. All public universities from various geographical regions that had health center, participated in the program (Fig. 1). This round of health assessment program was launched in the beginning of educational year of 2012–2013 academic year and it lasted for over a period of three-months: from October to December, that included two stages: an initial screening and follow up. During data collection, the students who met the criteria for follow up were recalled and introduced to higher level of health provision (Fig. 2).
Table 1

Different parts of life style questionnaire

SectionField of assessmentNumber of questionsSample
First sectionanthropometric and demographic17age, gender, marital status, grade of education, occupation and insurance condition
Second sectionpersonal habits7physical activity, smoking, tooth brushing habits, sleep pattern /alcohol consumption, hours working with the computer
Third sectiondietary habits13daily use of diary product, fruit, vegetables, fast food, junk food
Forth sectionmedical history15personal and familial medical history
Fifth sectionexposing to environmental hazards10excessive noise, vibration, radiation, chemical and biologic materials
Fig. 1

The distribution of accepted and participated students in mental and physical health assessment in university student of Iran (MEPHASOUS-Iran) by provinces (2012–2013 academic year)

Fig. 2

Flow chart of Mental and Physical health Assessment of University Students in Iran

Different parts of life style questionnaire For all rounds of program and data collection, a similar methodology and time schedule was applied. Administration and storage of information gathered from students were handled in partnership with university health and centers and CHOMST.

Students enrollment process

All newly admitted students at 74 governmental eligible universities that had health center from 28 provinces affiliated to the MST were invited to participate in the health assessment program. In 2012–2013 academic years, about 151,671students were admitted in governmental universities of Iran at three levels which included undergraduate, master and PhD degree [22]. During the registration period the Universities Health Center announced that it will launch a health assessment program. The students received detailed information regarding the health program by the health center medical staff: who had a hospitality space in registration location. Screening appointment dates and times were determined according to the number of students in each faculty. A number of 50 to 70 students were scheduled daily. The students were requested to view details of the program agenda on the website to determine the time of assessment. The students were also notified of the assessment by E-mail with the assessment link on the website, short message system (SMS) and putting up the posters all over the universities. All students received two reminder SMS that informed them of an upcoming health assessment and provided details about the timing program 1 week before the program initiation and 1 day before the specified time for each faculty. At the end of third month, the program was extended for 2 weeks in order to cover students who failed to attend the program on time. Students who had a medical problem received a follow up reminder. In the first step, at the physical health section, each student was assigned to a unique ID number, which was embedded in the questionnaire. The information was entered into the database with this number. The medical staff assured students that their information would be kept confidential. Subsequently, students were asked to fill out a self-administered questionnaire which had 62 questions in 5 sections (Table 1). The questionnaire included questions that have been widely used to evaluate the behavior of students. The first and required step was signing the consent form attached to questionnaire. After filling out the questionnaires, students were led to the examination room for the measurement of height, weight and blood pressure. Body weight and height was measured using the Seca weighing scales and a permanently wall mounted stadiometer, respectively. Systolic and diastolic blood pressure was measured for participants in a sitting position by Richter mercury sphygmomanometer.

Data management

After data collection, the responses of students to physical questionnaire were entered into SPSS version 16 (software) by two different data entry operators and saved into two separate data files. Based on CHOMST instructions, common coding system (code and label) for variables of the questionnaires was applied. When data entry was complete, a copy of the final data was sent to CHMOST through email. Each of the universities was responsible for data analysis and interpretation. However, the aggregate results of all the universities were analyzed and released by the expert teams set up by CHOMST.

Quality assurance and quality control (assessing reliability and validity)

A test-retest reliability process was applied in order to estimate the reliability of health assessment questionnaires measuring physical health behavior of universities students. A sample of 70 students in each center was voluntarily selected to fill the health assessment questionnaires two times with a 2–3 weeks’ interval. To examine the consistency of the results, the correlation between the answers in the first and second time for each of the 70 students measured. To test the accuracy and reliability of measurements, two trained nurses were asked to take systolic and diastolic blood pressure, weight and height for each student during test, retest process with the same instruments. Therefore 70 students have two information for each question and four recordings for systolic and diastolic blood pressure, weight, height which were taken by two nurses during test and retest independently. Correlation and Kappa analysis were conducted, to examine inter-rater reliability and agreement between two nurses ‘readings [23, 24].

Results

The participants were from 74 governmental universities located in 28 provinces from the total of 31 provinces, While three of them had no information (Fig. 1). Flow chart of Mental and Physical health Assessment of University Students is summurized in Fig. 2. To overcome the heterogeneity induced by the variation of sex and age group, stratification of the population into homogeneous subgroups including two sexes and 4 age groups were created. From the total population of the study, the data of 84,298 students ages 18–29 years were analyzed (Table 2). Based on the definition of youth in Iran (15-29 years) and to simulate the target population age range, the students above the age of 29 years were excluded from the analysis. Thus the results are presented based on the target population age range. In the second step of data cleaning, in order to reduce wide confidence interval of the mean, the data of students under the age of 18 that constitute only 0.3% of students were also excluded.
Table 2

The distribution of student sample by sex and level of education in each province

ProvinceSexLevel of education
MaleFemaleCollegeBSMA/MsMD FieldPhDothertotal
1-Ardabil253(36.6%)439(63.4%)9(1.3%)558(80.6%)88(12.7%)1(0.1%)31(4.5%)5(0.7%)692
2-Boushehr229(36.2%)404(63.8%)22(3.5%)611(96.5%)(0%)(0%)(0%)(0%)633
3-Chaharmahan & Bakhtiyari698(41.7%)974(58.3%)4(0.2%)1073(64.2%)538(32.2%)39(2.3%)7(0.4%)11(0.7%)1672
4-East Azarbayijan1821(46.9%)2065(53.1%)20(0.5%)2023(52.1%)1477(38%)24(0.6%)316(8.1%)26(0.7%)3886
5-Esfahan2807(46.3%)3253(53.7%)37(0.6%)3330(54.9%)2360(38.9%)48(0.8%)249(4.1%)36(0.6%)6060
6-Fars1128(40.8%)1634(59.2%)23(0.8%)1964(71.1%)732(26.5%)1(0.03%)35(1.3%)7(0.2%)2762
7-Gilan1257(41.8%)1748(58.2%)7(0.2%)2196(73.1%)713(23.7%)2(0.1%)71(2.4%)16(0.5%)3005
8-Golestan429(33.4%)856(66.6%)54(4.2%)879(68.4%)308(24%)(0%)41(3.2%)3(0.2%)1285
9-Hamedan573(40.7%)836(59.3%)24(1.7%)1082(76.8%)265(18.8%)10(0.7%)(0%)28(2%)1409
10-Hormozgan64(15.4%)351(84.6%)(0%)389(93.7%)24(5.8%)(0%)(0%)2(0.5%)415
11-Ilam208(31.5%)452(68.5%)29(4.4%)457(69.2%)163(24.7%)(0%)5(0.8%)6(0.9%)660
12-Kerman2111(43%)2800(57%)34(0.7%)3406(69.4%)1390(28.3%)12(0.2%)62(1.3%)7(0.2%)4911
13-Kermanshah481(40.1%)718(59.9%)3(0.3%)1008(84.1%)163(13.6%)10(0.8%)13(1.1%)2(0.2%)1199
14-Khorasan Razavi2168(40.6%)3171(59.4%)43(0.8%)3524(65.9%)1505(28.2%)27(0.5%)240(4.5%)(0%)5339
15-Khouzestan1430(47.9%)1553(52.1%)28(0.9%)2272(76.2%)584(19.6%)27(0.9%)64(2.1%)8(0.3%)2983
16-Kohkillouye & Boyrahmad203(25.4%)595(74.6%)4(0.5%)571(71.6%)220(27.6%)(0%)(0%)3(0.4%)798
17-Kordestan697(46.7%)796(53.3%)13(0.9%)1088(72.9%)383(25.6%)2(0.1%)7(0.5%)(0%)1493
18-Lorestan343(81.9%)76(18.1%)1(0.2%)335(79.9%)57(13.6%)9(2.1%)17(4.1%)(0%)419
19-Markazi685(44.6%)852(55.4%)74(4.8%)1246(81.1%)208(13.5%)0(0%)8(0.5%)1(0.1%)1537
20-Mazandaran1647(50.7%)1591(49.1%)28(0.8%)1978(61.1%)1054(32.6%)4(0.1%)131(4%)43(1.3%)3238
21-North Khorasan396(55.2%)321(44.8%)18(2.5%)648(90.4%)51(7.1%)(0%)(0%)(0%)717
22-Qazvin357(36.7%)616(63.3%)1(0.1%)657(67.5%)286(29.4%)1(0.1%)28(2.9%)(0%)973
23-Qom1079(61.8%)667(38.2%)(0%)1271(72.8%)436(25%)2(0.1%)37(2.1%)(0%)1746
24-Semnan2130(46.7%)2432(53.3%)76(1.7%)3108(68.1%)1224(26.8%)30(0.7%)97(2.1%)27(0.6%)4562
25-South Khorasan781(44.8%)963(55.2%)9(0.5%)1212(69.5%)478(27.5%)1(0.1%)37(2.1%)5(0.3%)1744
26-Systan & Balouchestan575(45.6%)687(54.4%)37(2.9%)827(65.5%)316(25%)38(3%)33(2.6%)11(0.9%)1262
27-Tehran12,175(49.3%)12,529(50.7%)97(0.4%)10,060(40.7%)12,743(51.6%)129(0.5%)1531(6.2%)144(0.6%)24,704
28-Yazd1663(42.9%)2212(57.1%)50(1.3%)2349(60.6%)1422(36.7%)7(0.2%)46(1.2%)1(0.1%)3875
Total38,187(45.3%)46,111(54.6%)759(0.9%)50,326(59.7%)29,251(34.7%)421(0.5%)3119(3.7%)422(0.5%)84,298 (100%)

BA A Bachelor of Arts (BA, B.A., AB) is a bachelor’s degree awarded for an undergraduate course or program in either the liberal arts, the sciences, or both

MA A Master of Arts (M.A., MA; also Latin: Artium Magister, abbreviated A.M., or AM) is a type of master’s degree awarded by universities in many countries. The degree is usually contrasted with the Master of Science degree

MD Doctor of Medicine (MD or DM), it is a first professional graduate degree awarded upon graduation from medical school

PhD Doctor of Philosophy, abbreviated as PhD, Ph.D., D.Phil., or DPhil in English-speaking countries and originally as Dr.Philos. or Dr.Phil. (for the Latin philosophiae doctor or doctor philosophiae), is a postgraduate academic degree warded by universities

The distribution of accepted and participated students in mental and physical health assessment in university student of Iran (MEPHASOUS-Iran) by provinces (2012–2013 academic year) Flow chart of Mental and Physical health Assessment of University Students in Iran The distribution of participated students by age and sex The distribution of participated students by sex and level of education Combining these two age groups, students between the ages of 18–29 years constituted more than 95% of the student’s population who enrolled in assessment program in 2012–2013 (Fig. 3). The mean age of students was 21.5 ± 4.01, with 49.20% percent being <20 years old. 32.31% were between 20 and 24 years, 13.44% between 25 and 29 years, 3.7% between 30 and 34 years and 1.39% between35–39 years. The Only 4.9% of students were aged over 30 years (Fig. 3).
Fig. 3

The distribution of participated students by age and sex

Table 2 shows the distribution of total students by sex and educational level and various levels of university degree in each province. Sixty-nine percent of the participants were undergraduate, 34.9% were master’s students, while 2.9% were PhD students. In all provinces, most participants were undergraduate and master degree students (Fig. 4).
Fig. 4

The distribution of participated students by sex and level of education

The distribution of student sample by sex and level of education in each province BA A Bachelor of Arts (BA, B.A., AB) is a bachelor’s degree awarded for an undergraduate course or program in either the liberal arts, the sciences, or both MA A Master of Arts (M.A., MA; also Latin: Artium Magister, abbreviated A.M., or AM) is a type of master’s degree awarded by universities in many countries. The degree is usually contrasted with the Master of Science degree MD Doctor of Medicine (MD or DM), it is a first professional graduate degree awarded upon graduation from medical school PhD Doctor of Philosophy, abbreviated as PhD, Ph.D., D.Phil., or DPhil in English-speaking countries and originally as Dr.Philos. or Dr.Phil. (for the Latin philosophiae doctor or doctor philosophiae), is a postgraduate academic degree warded by universities Table 3 depicts the proportion of students sample to the study population in eligible universities separately. The average response rate of the 74 universities in our sample was approximately 55%. Most of the participants were from Tehran (29.3%). The demographic characteristics of the university students are shown in Table 4.
Table 3

The distribution of response rates for universities in different provinces

NumberProvincesUniversityStudy sampleStudy populationResponse rate
1ArdabilMohagheghe ardebili69231340.22
2BoushehrKhalij fars63314630.43
3-Chaharmahal & BakhtiyariShare kord167222070.76
4East AzarbayijanTabriz211563100.33
tarbiyat moalem azarbayjan(shahid madani91917800.52
Saanati sahand tabriz85210160.84
5EsfahanEsfahan253734150.74
Saanati esfahan133223980.55
Honar esfahan4656110.76
Kashan158020780.76
Golpayegan146 .1710.85
6FarsShiraz209243930.48
Honar shiraz921130.81
Fasa2853390.84
Salman farsi kazeroon2933410.86
7GilanGilan300548200.62
8GolestanGolestan6109720.63
Gorgan6758560.79
9HamedanMalayer140915020.94
10HormozganHormozgan41513350.31
11EylamEylam66023960.27
12KermanTahsilat takmili saanati kerman1462880.51
Bahonar kerman279634840.80
Saanati sirjan4675510.85
Jiroft4569240.49
Valiasr rafsanjan104617540.60
13KermanshahRazi119926960.44
14Khorasan RazaviFerdosi mashhad330956300.59
Gonbad5768750.66
Ghoochan4697130.66
Sabzevar74525440.29
Sabzevar fanavari novin2402950,81
15KhouzestanChamran ahvaz191940320.48
Sanat naft abadan1292610.49
Jondi shapoor dezfool243 .5090.48
Oloom va fonnon daryaei khoramshahr3275740.57
Behbahan3654860.75
16Kohkillouye & BoyrahmadYasooj7981909 .0.42
17KordestanKordestan149322830.65
18LorestanLorestan41924500.17
19MarkaziArak120814390.83
Tafresh329 .4430.74
20-MazandaranMazandaran140832160.44
Oloom keshavarzi sari4927940.62
Sanati babol133813620.98
21North KhorasanBojnoord5196110.85
Bojnoord_kosar152670.06
Esfarayn1832540.72
22QazvinBeinolmelal emam khomeini97317470.56
23QomHazrat masoume93970.96
Saanati qom4564561
Qom119713630.88
24SemnanSemnan245748290.51
Saanati shahrood143233480.43
Damkhan67310290.65
25South KhorasanBirjand174736260.48
26Systan & BalouchestanZabol98715000.66
Chabahar2753320.83
27TehranTehran770415,1500.51
Shahid beheshti349538500.91
Shahed100910150.99
Allame tabatabaei216245430.47
Elmo saanat iran165326380.63
Tarbiyat modares16490.63
Kharazmi162527370.59
Alzahra143831210.46
Saanati sharif125927320.46
Amir kabir102342970.24
Honar tehran9269261
Saanati khaje nasirodin toosi65817220.38
Varamin1034830.21
28YazdYazd346244410.78
Ardakan4134230.98
Total84,298151,6710.55
Table 4

Description of demographic characteristics of the university students participated in screening program by gender

Total ParticipantsMaleFemale
Number (%)84,298 (100%)38,223(45.3%)46,075(54.7%)
Age(years)21.5 ± 4.021.5 ± 4.121.5 ± 3.9
Weight(kg) (mean ± sd)64.3 ± 14.171.6 ± 14.258.3 ± 10.7
Height(m) (mean ± sd)168.5 ± 9.6176.3 ± 6.8162.0 ± 6.1
BMI (mean ± sd)22.5 ± 4.023.0 ± 4.122.2 ± 3.8
Blood Pressure systolic(mmHg)92.4 ± 40.399.1 ± 40.086.9 ± 39.7
The distribution of response rates for universities in different provinces Description of demographic characteristics of the university students participated in screening program by gender

Discussion

The health assessment is part of screening program which was developed by considering the current health issue of the newly admitted students in universities of big cities that had health center. It was gradually extended to any university around the country that had basic requirements for arranging student health examination including appropriate place and medical staff, as shown in Fig. 1, the data of universities for three provinces were not available. Regarding the international studies, a variety of surveys like the NCHA, BRFSS, and National Health Interview Survey were used to describe the health behaviors of population groups, as well as college students. The vast majority of these studies were carried out in the USA with few exceptions. Small number of participants were tested in these studies [25]. Nevertheless among these studies, there are two major health assessment which include American College Health Assessment (ACHA) which collected data of 30,263 students from 39 campuses and the Canadian version of this assessment comprised 43,000 students from 41 schools [17, 26]. Therefore, to the best of our knowledge, this is the first and biggest large scale assessment examining health behaviors among tertiary education students at national and even international level with a few exceptions. In the following sections, the benefits of the health assessment will be discussed. Key strength of this assessment is the repetitive nature of the program design. While the cross-sectional study can inherently be strong, but if a cross-sectional study, especially the large-scale type, occurs every year, or at a given time, can be used to evaluate the time trends of diseases, health outcomes or behaviors or different risk factors. This yearly assessment could map behavioral change among students over a long period. In this regard, regular assessments of college students’ health behaviors have been recommended [27]. Furthermore, the assessment results help to understand whether student’s health behavior and performance can be affected by gender, different field of education and university, student’s cultural background and their city of origin. Some investigation revealed that health habits among university students could be affected by gender and field of education [17, 28]. This assessment also provides opportunity to compare Iranian student’s behavioral patterns with the behavioral pattern of students worldwide. If these two are the same, student health professional can develop and implement the same intervention strategy to reach health goals among students within a shorter period of time. This assessment was also designed to identify students who are experiencing health problems. Therefore, the second strength of the program is the early detection of some disease. During the program, health provider discovered some serious diseases that the students were not aware of. The diagnosis and management of their disease were outlined in the following steps so as to reach higher level of clinical care. This can affect primary and secondary prevention and can also reduce burden of disease.

Response rate and generalizability

The health center of universities had the capacity to include all the newly admitted students between the ages of 18–29 years in the health assessment. We noticed that gathering more participants would result in a higher response rate and the sample would be more representative of the total number of students admitted. In this regard, a number of announcements were made to encourage a large number of students wider to participate in this program. The health center advert emphasized on free health care benefit of participating in the program and highlighted the provision of free follow up medical care for students who faced any disease. Similar to international studies such as National College Health Assessment, participation in the assessment was completely voluntary. Table 3 shows the comparison of response rates by each university in different provinces. Comparing the mean response rate of this assessment (63%) with international studies showed that, the mean response proportion of ACHA-NCHA Spring 2000 -- 28 schools, 16,024 participants was 54%, ACHA-NCHA II fall 2011 and 2015 were 31 and 15% respectively [29]. The overall response rate in Couper study on drug and alcohol usage was less than 41% and was 21 in Asch study. Historical response rates for colleges on alcohol study which was conducted 5 times were between 28% to 69%. The mean response rate for colleges in the 2005 CAS was 28% [30]. Reducing response rate for higher education researchers is a concern and suggestions to enhance survey response rates is an important and valuable subject of higher education research [31]. Many authors believed that response rates approximating 60% for most research should be the goal of researchers [32]. Therefore achieving a high response rate in this assessment was the main strength which led to the application of the findings of the assessment to the entire student population in each university. We noticed that nonresponse bias did also exist, but studies showed that greater survey participation has only minimal effect on the conclusions of the survey [33]. In comparison to international survey, our findings showed that health center advertising policy was a good and successful experience that increased response rate to more than 50% in most universities. Nevertheless, when students across the country are called for examination, increasing participation rate by close to 100 % will not be easy. To motivate all students to participate in the assessment, incentive policies should be defined by CHOMST in the future. The idea is that the students who did participate in this health program may consider more to their own health than those who did not participate. Thus this can lead to obtaining more students information which has trend toward more positive view and it influences health student’s decision makers. Comparison of these findings with a nationally representative database such as the National published data of NCDs [7] could help in understanding whether these findings on student behavior can reflect and present the youth behavior at this age in the society and can be generalizable to the overall population of young age. It is worth noting here, that this profile will be used potentially as a basis for the methodology of studies originated from the health assessment findings. Analysis of student’s findings will generate multiple studies which report different aspects of physical health of Iranian university students.

Conclusion

The mental and physical mental health assessment of university student in Iran (MPHASOUS-Iran) is a national large scale assessment examining health behaviors among tertiary education students. The results of the assessment will help to gain insight into the frequency of healthy and risky behavior among university students who constitute a large proportion of young adult aged 18–29 years in the country. Due to achieving high response rate in most universities, the results of this assessment are generalizable to students’ population. Nevertheless, generalizability of the results of this study to young population should be further investigated in future studies.
  17 in total

1.  Why college health matters.

Authors:  Richard P Keeling
Journal:  J Am Coll Health       Date:  2002-05

Review 2.  Observational research methods. Research design II: cohort, cross sectional, and case-control studies.

Authors:  C J Mann
Journal:  Emerg Med J       Date:  2003-01       Impact factor: 2.740

3.  Response rates and responsiveness for surveys, standards, and the Journal.

Authors:  Jack E Fincham
Journal:  Am J Pharm Educ       Date:  2008-04-15       Impact factor: 2.047

4.  Global patterns of mortality in young people: a systematic analysis of population health data.

Authors:  George C Patton; Carolyn Coffey; Susan M Sawyer; Russell M Viner; Dagmar M Haller; Krishna Bose; Theo Vos; Jane Ferguson; Colin D Mathers
Journal:  Lancet       Date:  2009-09-12       Impact factor: 79.321

5.  Mental illness and/or mental health? Investigating axioms of the complete state model of health.

Authors:  Corey L M Keyes
Journal:  J Consult Clin Psychol       Date:  2005-06

6.  Priority actions for the non-communicable disease crisis.

Authors:  Robert Beaglehole; Ruth Bonita; Richard Horton; Cary Adams; George Alleyne; Perviz Asaria; Vanessa Baugh; Henk Bekedam; Nils Billo; Sally Casswell; Michele Cecchini; Ruth Colagiuri; Stephen Colagiuri; Tea Collins; Shah Ebrahim; Michael Engelgau; Gauden Galea; Thomas Gaziano; Robert Geneau; Andy Haines; James Hospedales; Prabhat Jha; Ann Keeling; Stephen Leeder; Paul Lincoln; Martin McKee; Judith Mackay; Roger Magnusson; Rob Moodie; Modi Mwatsama; Sania Nishtar; Bo Norrving; David Patterson; Peter Piot; Johanna Ralston; Manju Rani; K Srinath Reddy; Franco Sassi; Nick Sheron; David Stuckler; Il Suh; Julie Torode; Cherian Varghese; Judith Watt
Journal:  Lancet       Date:  2011-04-05       Impact factor: 79.321

Review 7.  Global epidemiology of gastrointestinal stromal tumours (GIST): A systematic review of population-based cohort studies.

Authors:  Kjetil Søreide; Oddvar M Sandvik; Jon Arne Søreide; Vanja Giljaca; Andrea Jureckova; V Ramesh Bulusu
Journal:  Cancer Epidemiol       Date:  2015-11-24       Impact factor: 2.984

8.  Medical students' health behaviour and self-reported mental health status by their country of origin: a cross-sectional study.

Authors:  András Terebessy; Edit Czeglédi; Bettina Claudia Balla; Ferenc Horváth; Péter Balázs
Journal:  BMC Psychiatry       Date:  2016-05-28       Impact factor: 3.630

Review 9.  Stroke in systemic lupus erythematosus: a meta-analysis of population-based cohort studies.

Authors:  Marie Holmqvist; Julia F Simard; Kjell Asplund; Elizabeth V Arkema
Journal:  RMD Open       Date:  2015-12-16

10.  Health Promoting Lifestyle and its Determinants Among University Students in Sabzevar, Iran.

Authors:  Ali Mehri; Mahnaz Solhi; Gholamreza Garmaroudi; Haidar Nadrian; Shirin Shahbazi Sighaldeh
Journal:  Int J Prev Med       Date:  2016-04-14
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  8 in total

1.  Fruit and vegetable consumption in relation to primary headaches: the MEPHASOUS study.

Authors:  Masoume Mansouri; Farshad Sharifi; Mehdi Varmaghani; Azad Shokri; HosseinAli Rahdar; Abasali Keshtkar; Omid Sadeghi
Journal:  Eat Weight Disord       Date:  2020-08-12       Impact factor: 4.652

2.  Malnutrition, assessed by the Global Leadership Initiative on Malnutrition (GLIM) criteria but not by the mini nutritional assessment (MNA), predicts the incidence of sarcopenia over a 5-year in the SarcoPhAge cohort.

Authors:  Laetitia Lengelé; Olivier Bruyère; Charlotte Beaudart; Jean-Yves Reginster; Médéa Locquet
Journal:  Aging Clin Exp Res       Date:  2021-05-15       Impact factor: 3.636

3.  Breakfast consumption pattern and its association with overweight and obesity among university students: a population-based study.

Authors:  Masoume Mansouri; Shirin Hasani-Ranjbar; Hamid Yaghubi; Jamal Rahmani; Yousef Moghadas Tabrizi; Abasali Keshtkar; Mehdi Varmaghani; Farshad Sharifi; Omid Sadeghi
Journal:  Eat Weight Disord       Date:  2018-11-09       Impact factor: 4.652

4.  The relationship between lifestyle and anthropometric factors with the sleep characteristics among university students in Iran: the MEPHASOUS study.

Authors:  Mehdi Varmaghani; Masoume Mansouri; Mehran Shams-Beyranvand; Bereket Molla Tigabu; Parisa Saiyarsarai; Maziar Emamikhah; Hamid Yaghubi; Yousef Moghadas Tabrizi; Farshad Sharifi
Journal:  J Diabetes Metab Disord       Date:  2020-08-03

5.  Prevalence of Ever Self-Reported Asthma and Associated Factors among University Students in Iran: A Population-Based Study.

Authors:  Masoume Mansouri; Farshad Sharifi; Seyed Saeed Tabatabaee; Elham Heidari; Hamid Yaghubi; Abasali Keshtkar; Yousef Moghadas Tabrizi; Masoud Arzaghi; Mehdi Varmaghani
Journal:  Int J Prev Med       Date:  2020-04-30

6.  Dairy Consumption in Relation to Hypertension Among a Large Population of University Students: The MEPHASOUS Study.

Authors:  Masoume Mansouri; Naseh Pahlavani; Farshad Sharifi; Mehdi Varmaghani; Azad Shokri; Hamid Yaghubi; Omid Asbaghi; Abasali Keshtkar; Yousef Moghadas Tabrizi; Omid Sadeghi
Journal:  Diabetes Metab Syndr Obes       Date:  2020-05-14       Impact factor: 3.168

7.  Health Status, Behaviors, and Beliefs of Health Sciences Students and Staff at Kuwait University: Toward Maximizing the Health of Future Health Professionals and Their Patients.

Authors:  Nowall Al-Sayegh; Khazna Al-Enezi; Mohammed Nadar; Elizabeth Dean
Journal:  Int J Environ Res Public Health       Date:  2020-11-26       Impact factor: 3.390

8.  Frailty but not sarcopenia nor malnutrition increases the risk of developing COVID-19 in older community-dwelling adults.

Authors:  Laetitia Lengelé; Médéa Locquet; Michel Moutschen; Charlotte Beaudart; Jean-François Kaux; Sophie Gillain; Jean-Yves Reginster; Olivier Bruyère
Journal:  Aging Clin Exp Res       Date:  2021-10-23       Impact factor: 3.636

  8 in total

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