Effect of an obesity prevention program focused on motivating environments in childhood: a school-based prospective study

Yang, Yeoree; Kang, Borami; Ey, Lee; Huang, Yang; Hs, Kim; Sy, Lim; Jh, Lee; Ss, Lee; Suh, Byung‐Kyu; Kh, Yoon

doi:10.1038/ijo.2017.47

Cited by 29 publications

(39 citation statements)

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“…Overall, twelve studies (33.3%) were conducted in the U.S., five studies (14.7%) were conducted in Australia and other countries in Oceania [ 24 , 25 , 26 , 27 , 28 ], and three studies (8.8%) in Brazil [ 5 , 29 , 30 ] and in Spain [ 31 , 32 , 33 ]. Other studies included countries within Europe [ 34 , 35 , 36 , 37 , 38 ] and Asia [ 39 , 40 , 41 ], Canada [ 42 ], Mexico [ 43 ], and Israel [ 44 ]. Programs were evaluated as controlled trials ( n = 31, 91.2%), randomized controlled trials ( n = 23, 67.6%), quasi-experimental ( n = 7, 20.5%), non-randomized ( n = 2, 5.8%), and as interrupted time series without a comparison group ( n = 3, 8.8%).…”

Section: Resultsmentioning

confidence: 99%

“…For the energy-balance programs, 20 studies were found [ 24 , 25 , 30 , 32 , 34 , 37 , 38 , 39 , 40 , 41 , 44 , 45 , 46 , 47 , 48 , 49 , 50 ]; of these, five studies were conducted in the USA [ 45 , 46 , 47 , 49 , 50 ], six in Europe [ 32 , 34 , 35 , 37 , 38 ], four in Australia [ 24 , 25 , 26 , 27 ], three in Asia [ 39 , 40 , 44 ], and one in Brazil [ 30 ] and in Tonga [ 41 ]. When considering the study design, 13 studies were randomized controlled trials (RCT) [ 25 , 26 , 27 , 30 , 36 , 37 , 38 , 40 , 45 , 46 , 47 , 49 , 50 , 51 ]...…”

Section: Resultsmentioning

confidence: 99%

“…The majority ( n = 13, 65%) of the energy-balance programs used schools as the main settings for integrating diet and PA for promoting behavioral changes [ 24 , 25 , 26 , 27 , 32 , 34 , 37 , 38 , 39 , 41 , 44 , 45 , 50 ], 3 (15%) use the home setting [ 30 , 47 , 50 ], and two (10%) developed a web-based platform to deliver the intervention [ 40 , 46 ]. Some programs, which used schools as the main setting, combined multiple components to deliver the intervention, such as combining weekly text messages and other mobile device technology (e.g., developing an app) [ 25 , 26 ], or integrating the family context (e.g., parents newsletters, homework, and booklets) [ 26 , 34 , 50 ].…”

Section: Resultsmentioning

confidence: 99%

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Impact of Strategies for Preventing Obesity and Risk Factors for Eating Disorders among Adolescents: A Systematic Review

et al. 2020

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An effective behavior change program is the first line of prevention for youth obesity. However, effectiveness in prevention of adolescent obesity requires several approaches, with special attention paid to disordered eating behaviors and psychological support, among other environmental factors. The aim of this systematic review is to compare the impact of two types of obesity prevention programs, inclusive of behavior change components, on weight outcomes. “Energy-balance” studies are aimed at reducing calories from high-energy sources and increasing physical activity (PA) levels, while “shared risk factors for obesity and eating disorders” focus on reducing disordered eating behaviors to promote a positive food and eating relationship. A systematic search of ProQuest, PubMed, PsycInfo, SciELO, and Web of Science identified 8825 articles. Thirty-five studies were included in the review, of which 20 regarded “energy-balance” and 15 “shared risk factors for obesity and eating disorders”. “Energy-balance” studies were unable to support maintenance weight status, diet, and PA. “Shared risk factors for obesity and eating disorders” programs also did not result in significant differences in weight status over time. However, the majority of “shared risk factors for obesity and eating disorders” studies demonstrated reduced body dissatisfaction, dieting, and weight-control behaviors. Research is needed to examine how a shared risk factor approach can address both obesity and eating disorders.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Impact of Strategies for Preventing Obesity and Risk Factors for Eating Disorders among Adolescents: A Systematic Review

et al. 2020

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“…Another school-based study showed that motivation was a major factor in influencing students to healthy lifestyles (25,26). This suggest that motivated students practiced healthy lifestyles that led to positive health outcomes among the intervention group.…”

Section: Discussionmentioning

confidence: 99%

Effects of a health educational intervention on cardiovascular disease knowledge, motivation and behavioral skills: A cluster randomized controlled trial

Amoah

Md.

Rampal

et al. 2019

Preprint

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Background Cardiovascular diseases (CVD) are the number one public health challenge of the 21st century. Globally, the disease causes more deaths than any other cause. Unfortunately, many people are not aware of CVDs and its risk factors and because of this the disease burden keeps on rising. Objective of this study was to develop, implement and evaluate the effects of a health education program to improve CVD knowledge, motivation, and behavioral skills among secondary school students in Ghana. Methods A parallel single-blind cluster randomized controlled trial was carried out for a period of six-months with baseline and post intervention evaluations. Participants (n=848) were secondary school students of ages of 14-19 years from four schools (clusters) in Brong Ahafo, Ghana. Students in the intervention group received health education intervention whereas those of the control group received no intervention. The intervention included information on cardiovascular diseases and its risk factors, motivation, and behavioral skills modules. At six months, a follow-up data using same questionnaire were collected after the intervention was completed. The generalized linear mixed model (GLMM) was used to assess the overall effects of the intervention. Results Of the 848 students, 836 completed the follow-up assessment immediately after six-month. The GLMM showed the intervention was significant in improving 6.85(p<0.001), 0.90(p<0.001), 0.94(p<0.001) higher total CVD knowledge, motivation, and behavioral skills scores respectively for the intervention group when compared to the control group. Conclusions The intervention was effective in increasing CVD knowledge, motivation, and behavioral skills of students in the intervention arm of the study. It is recommended that the health education module be implemented into secondary schools education curricula in Ghana to improve CVD knowledge, motivation, and behavioral skills. Equipping students with the IMB will reduce CVD risk factors and prevent the onset of CVDs in future.

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“…Similarly, a meta-analysis by Wang et al [29] showed that school-based interventions contributed to improvement in any of the weight measurements in children in 22–67% of cases. The 2017 study, which included annual support interventions in the child’s environment, showed statistically significant improvements only in the BMI z -score, but changes in body structure (body fat and muscle mass percentages) were similar to those in the control group [30]. Nevertheless, the researchers considered the intervention to be effective in terms of the health impact.…”

Section: Discussionmentioning

confidence: 99%

Cost-Effectiveness of an Obesity Management Program for 6- to 15-Year-Old Children in Poland: Data from Over Three Thousand Participants

et al. 2020

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Background: Obesity and overweight, including childhood obesity and overweight, pose a public health challenge worldwide. According to the available research findings, long-term interventions focusing on dietary behavior, physical activity, and psychological support are the most effective in reducing obesity in children aged 6–18 years. There are limited studies showing the financial effectiveness of such interventions. Objective: The objective of the present study was to evaluate cost-effectiveness of the 6-10-14 for Health weight management program using pharmacoeconomic indicators, i.e., cost-effectiveness analysis using the incremental cost-effectiveness ratio. Methods: We used anthropometric data of 3,081 children included in a 1-year-long intervention with a full financial cost assessment. Results: The cost of removing a child from the overweight group (BMI >85th percentile) was PLN 27,758 (EUR 6,463), and the cost of removing a child from the obese group (BMI >95th percentile) was slightly lower, i.e., PLN 23,601 (EUR 5,495). Given the obesity-related medical costs calculated in the life-long perspective, these results can be considered encouraging. At the same time, when comparing the total costs per participant with the costs of other interventions, it can be noted that they are similar to the costs of school programs containing more than 1 type of intervention. Conclusions: The 6-10-14 for Health program can be considered cost-effective. As a result of committing financial resources in the approximate amount of EUR 1,790 per child, around half of the children participating in the program have improved their weight indicators.

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Effect of an obesity prevention program focused on motivating environments in childhood: a school-based prospective study

Abstract: A simple environmental intervention could effectively influence children. By adding to previously studied strategies, we can develop a more effective obesity prevention program for children.

Cited by 29 publications

References 29 publications

Impact of Strategies for Preventing Obesity and Risk Factors for Eating Disorders among Adolescents: A Systematic Review

Impact of Strategies for Preventing Obesity and Risk Factors for Eating Disorders among Adolescents: A Systematic Review

Effects of a health educational intervention on cardiovascular disease knowledge, motivation and behavioral skills: A cluster randomized controlled trial

Cost-Effectiveness of an Obesity Management Program for 6- to 15-Year-Old Children in Poland: Data from Over Three Thousand Participants

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