Literature DB >> 24714997

Interventions for preventing obesity in children.

Angela Maria Spinola e Castro.   

Abstract

BACKGROUND: Prevention of childhood obesity is an international public health priority given the significant impact of obesity on acute and chronic diseases, general health, development and well-being. The international evidence base for strategies that governments, communities and families can implement to prevent obesity, and promote health, has been accumulating but remains unclear.
OBJECTIVE: This review primarily aims to update the previous Cochrane review of childhood obesity prevention research and determine the effectiveness of evaluated interventions intended to prevent obesity in children, assessed by change in Body Mass Index (BMI). Secondary aims were to examine the characteristics of the programs and strategies to answer the questions "What works for whom, why and for what cost?" SEARCH
METHODS: The searches were re-run in CENTRAL, MEDLINE, EMBASE, PsychINFO and CINAHL in March 2010 and searched relevant websites. Non-English language papers were included and experts were contacted. SELECTION CRITERIA: The review includes data from childhood obesity prevention studies that used a controlled study design (with or without randomisation). Studies were included if they evaluated interventions, policies or programs in place for twelve weeks or more. If studies were randomized at a cluster level, six clusters were required. DATA COLLECTION AND ANALYSIS: Two review authors independently extracted data and assessed the risk of bias of included studies. Data was extracted on intervention implementation, cost, equity and outcomes. Outcome measures were grouped according to whether they measured adiposity, physical activity (PA)-related behaviours or diet-related behaviours. Adverse outcomes were recorded. A meta-analysis was conducted using available BMI or standardized BMI (zBMI) score data with subgroup analysis by age group (0-5, 6-12, 13-18 years, corresponding to stages of developmental and childhood settings). MAIN
RESULTS: This review includes 55 studies (an additional 36 studies found for this update). The majority of studies targeted children aged v 6-12 years. The meta-analysis included 37 studies of 27,946 children and demonstrated that programmes were effective at reducing adiposity, although not all individual interventions were effective, and there was a high level of observed heterogeneity (I2 = 82%). Overall, children in the intervention group had a standardised mean difference in adiposity (measured as BMI or zBMI) of -0.15 kg/m2 (95% confidence interval (CI): -0.21 to -0.09). Intervention effects by age subgroups were -0.26kg/m2 (95% CI -0.53 to 0.00) (0- 5 years), - 0.15 kg/m2 (95% CI -0.23 to -0.08) (6-12 years), and -0.09 kg/m2 (95% C I -0.20 to 0.03) (13-18 years). Heterogeneity was apparent in all three age groups and could not explained by randomisation status or the type, duration or setting of the intervention. Only eight studies reported on adverse effects and no evidence of adverse outcomes such as unhealthy dieting practices, increased prevalence of underweight or body image sensitivities was found. Interventions did not appear to increase health inequalities although this was examined in fewer studies. AUTHORS'
CONCLUSIONS: We found strong evidence to support beneficial effects of child obesity prevention programmes on BMI, particularly for programmes targeted to children aged six to 12 years. However, given the unexplained heterogeneity and the likelihood of small study bias, these findings must be interpreted cautiously. A broad range of programme components were used in these studies and whilst it is not possible to distinguish which of these components contributed most to the beneficial effects observed, our synthesis indicates the following to be promising policies and strategies: school curriculum that includes healthy eating, physical activity and body image; increased sessions for physical activity and the development of fundamental movement skills throughout the school week; improvements in nutritional quality of the food supply in schools; environments and cultural practices that support children eating healthier foods and being active throughout each day; support for teachers and other staff to implement health promotion strategies and activities (e.g. professional development, capacity building activities); parent support and home activities that encourage children to be more active, eat more nutritious foods and spend less time in screen based activities. However, study and evaluation designs need to be strengthened, and reporting extended to capture process and implementation factors, outcomes in relation to measures of equity, longer term outcomes, potential harms and costs. Childhood obesity prevention research must now move towards identifying how effective intervention components can be embedded within health, education and care systems and achieve long term sustainable impacts.

Entities:  

Mesh:

Year:  2014        PMID: 24714997     DOI: 10.1590/1516-3180.20141322t2

Source DB:  PubMed          Journal:  Sao Paulo Med J        ISSN: 1516-3180            Impact factor:   1.044


  13 in total

Review 1.  Meta-Review on the Effectiveness of Classroom-Based Psychological Interventions Aimed at Improving Student Mental Health and Well-Being, and Preventing Mental Illness.

Authors:  Barbora Šouláková; Alexandr Kasal; Bethany Butzer; Petr Winkler
Journal:  J Prim Prev       Date:  2019-06

2.  Athletes for life: Rationale and methodology of a community- and family-based randomized controlled trial to promote cardiovascular fitness among primarily Latino families.

Authors:  Jacob Szeszulski; Sonia Vega-López; Michael Todd; Frank Ray; Alma Behar; Maria Campbell; Adrian Chavez; Ryan Eckert; Anabell Lorenzo-Quintero; Leopoldo Hartmann Manrique; Noe C Crespo
Journal:  Contemp Clin Trials       Date:  2020-02-13       Impact factor: 2.226

3.  Trends in prevalence of overweight and obesity: are Portuguese adolescents still increasing weight?

Authors:  Adilson Marques; Margarida Gaspar de Matos
Journal:  Int J Public Health       Date:  2015-11-05       Impact factor: 3.380

4.  Factors affecting evidence-use in food policy-making processes in health and agriculture in Fiji.

Authors:  Gade Waqa; Colin Bell; Wendy Snowdon; Marj Moodie
Journal:  BMC Public Health       Date:  2017-01-09       Impact factor: 3.295

Review 5.  Comparison of accelerometer measured levels of physical activity and sedentary time between obese and non-obese children and adolescents: a systematic review.

Authors:  Rabha Elmesmari; Anne Martin; John J Reilly; James Y Paton
Journal:  BMC Pediatr       Date:  2018-03-09       Impact factor: 2.125

6.  Mothers' Perceptions of Toddler Beverages.

Authors:  Manuela Rigo; Jane Willcox; Alison Spence; Anthony Worsley
Journal:  Nutrients       Date:  2018-03-19       Impact factor: 5.717

7.  Can Wearable Cameras be Used to Validate School-Aged Children's Lifestyle Behaviours?

Authors:  Bethan Everson; Kelly A Mackintosh; Melitta A McNarry; Charlotte Todd; Gareth Stratton
Journal:  Children (Basel)       Date:  2019-02-01

8.  The Effects of Physical Activity and Diet Interventions on Body Mass Index in Latin American Children and Adolescents: A Systematic Review and Meta-Analysis.

Authors:  Andrés Godoy-Cumillaf; Paola Fuentes-Merino; Armando Díaz-González; Judith Jiménez-Díaz; Vicente Martínez-Vizcaíno; Celia Álvarez-Bueno; Iván Cavero-Redondo
Journal:  Nutrients       Date:  2020-05-12       Impact factor: 5.717

9.  Effects of a Floor Hockey Intervention on Motor Proficiency, Physical Fitness, and Adaptive Development in Youths with Mild Intellectual Disabilities.

Authors:  Po-Jen Hsu; Hung-Ling Yeh; Chia-Liang Tsai; Chia-Hua Chu; Fu-Chen Chen; Chien-Yu Pan
Journal:  Int J Environ Res Public Health       Date:  2021-07-01       Impact factor: 3.390

10.  Family-related risk factors of obesity among preschool children: results from a series of national epidemiological surveys in China.

Authors:  Xin-Nan Zong; Hui Li; Ya-Qin Zhang
Journal:  BMC Public Health       Date:  2015-09-19       Impact factor: 3.295

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