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Spiga F, Davies AL, Tomlinson E, Moore TH, Dawson S, Breheny K, Savović J, Gao Y, Phillips SM, Hillier-Brown F, Hodder RK, Wolfenden L, Higgins JP, Summerbell CD. Interventions to prevent obesity in children aged 5 to 11 years old. Cochrane Database Syst Rev 2024; 5:CD015328. [PMID: 38763517 PMCID: PMC11102828 DOI: 10.1002/14651858.cd015328.pub2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/21/2024]
Abstract
BACKGROUND Prevention of obesity in children is an international public health priority given the prevalence of the condition (and its significant impact on health, development and well-being). Interventions that aim to prevent obesity involve behavioural change strategies that promote healthy eating or 'activity' levels (physical activity, sedentary behaviour and/or sleep) or both, and work by reducing energy intake and/or increasing energy expenditure, respectively. There is uncertainty over which approaches are more effective and numerous new studies have been published over the last five years, since the previous version of this Cochrane review. OBJECTIVES To assess the effects of interventions that aim to prevent obesity in children by modifying dietary intake or 'activity' levels, or a combination of both, on changes in BMI, zBMI score and serious adverse events. SEARCH METHODS We used standard, extensive Cochrane search methods. The latest search date was February 2023. SELECTION CRITERIA Randomised controlled trials in children (mean age 5 years and above but less than 12 years), comparing diet or 'activity' interventions (or both) to prevent obesity with no intervention, usual care, or with another eligible intervention, in any setting. Studies had to measure outcomes at a minimum of 12 weeks post baseline. We excluded interventions designed primarily to improve sporting performance. DATA COLLECTION AND ANALYSIS We used standard Cochrane methods. Our outcomes were body mass index (BMI), zBMI score and serious adverse events, assessed at short- (12 weeks to < 9 months from baseline), medium- (9 months to < 15 months) and long-term (≥ 15 months) follow-up. We used GRADE to assess the certainty of the evidence for each outcome. MAIN RESULTS This review includes 172 studies (189,707 participants); 149 studies (160,267 participants) were included in meta-analyses. One hundred forty-six studies were based in high-income countries. The main setting for intervention delivery was schools (111 studies), followed by the community (15 studies), the home (eight studies) and a clinical setting (seven studies); one intervention was conducted by telehealth and 31 studies were conducted in more than one setting. Eighty-six interventions were implemented for less than nine months; the shortest was conducted over one visit and the longest over four years. Non-industry funding was declared by 132 studies; 24 studies were funded in part or wholly by industry. Dietary interventions versus control Dietary interventions, compared with control, may have little to no effect on BMI at short-term follow-up (mean difference (MD) 0, 95% confidence interval (CI) -0.10 to 0.10; 5 studies, 2107 participants; low-certainty evidence) and at medium-term follow-up (MD -0.01, 95% CI -0.15 to 0.12; 9 studies, 6815 participants; low-certainty evidence) or zBMI at long-term follow-up (MD -0.05, 95% CI -0.10 to 0.01; 7 studies, 5285 participants; low-certainty evidence). Dietary interventions, compared with control, probably have little to no effect on BMI at long-term follow-up (MD -0.17, 95% CI -0.48 to 0.13; 2 studies, 945 participants; moderate-certainty evidence) and zBMI at short- or medium-term follow-up (MD -0.06, 95% CI -0.13 to 0.01; 8 studies, 3695 participants; MD -0.04, 95% CI -0.10 to 0.02; 9 studies, 7048 participants; moderate-certainty evidence). Five studies (1913 participants; very low-certainty evidence) reported data on serious adverse events: one reported serious adverse events (e.g. allergy, behavioural problems and abdominal discomfort) that may have occurred as a result of the intervention; four reported no effect. Activity interventions versus control Activity interventions, compared with control, may have little to no effect on BMI and zBMI at short-term or long-term follow-up (BMI short-term: MD -0.02, 95% CI -0.17 to 0.13; 14 studies, 4069 participants; zBMI short-term: MD -0.02, 95% CI -0.07 to 0.02; 6 studies, 3580 participants; low-certainty evidence; BMI long-term: MD -0.07, 95% CI -0.24 to 0.10; 8 studies, 8302 participants; zBMI long-term: MD -0.02, 95% CI -0.09 to 0.04; 6 studies, 6940 participants; low-certainty evidence). Activity interventions likely result in a slight reduction of BMI and zBMI at medium-term follow-up (BMI: MD -0.11, 95% CI -0.18 to -0.05; 16 studies, 21,286 participants; zBMI: MD -0.05, 95% CI -0.09 to -0.02; 13 studies, 20,600 participants; moderate-certainty evidence). Eleven studies (21,278 participants; low-certainty evidence) reported data on serious adverse events; one study reported two minor ankle sprains and one study reported the incident rate of adverse events (e.g. musculoskeletal injuries) that may have occurred as a result of the intervention; nine studies reported no effect. Dietary and activity interventions versus control Dietary and activity interventions, compared with control, may result in a slight reduction in BMI and zBMI at short-term follow-up (BMI: MD -0.11, 95% CI -0.21 to -0.01; 27 studies, 16,066 participants; zBMI: MD -0.03, 95% CI -0.06 to 0.00; 26 studies, 12,784 participants; low-certainty evidence) and likely result in a reduction of BMI and zBMI at medium-term follow-up (BMI: MD -0.11, 95% CI -0.21 to 0.00; 21 studies, 17,547 participants; zBMI: MD -0.05, 95% CI -0.07 to -0.02; 24 studies, 20,998 participants; moderate-certainty evidence). Dietary and activity interventions compared with control may result in little to no difference in BMI and zBMI at long-term follow-up (BMI: MD 0.03, 95% CI -0.11 to 0.16; 16 studies, 22,098 participants; zBMI: MD -0.02, 95% CI -0.06 to 0.01; 22 studies, 23,594 participants; low-certainty evidence). Nineteen studies (27,882 participants; low-certainty evidence) reported data on serious adverse events: four studies reported occurrence of serious adverse events (e.g. injuries, low levels of extreme dieting behaviour); 15 studies reported no effect. Heterogeneity was apparent in the results for all outcomes at the three follow-up times, which could not be explained by the main setting of the interventions (school, home, school and home, other), country income status (high-income versus non-high-income), participants' socioeconomic status (low versus mixed) and duration of the intervention. Most studies excluded children with a mental or physical disability. AUTHORS' CONCLUSIONS The body of evidence in this review demonstrates that a range of school-based 'activity' interventions, alone or in combination with dietary interventions, may have a modest beneficial effect on obesity in childhood at short- and medium-term, but not at long-term follow-up. Dietary interventions alone may result in little to no difference. Limited evidence of low quality was identified on the effect of dietary and/or activity interventions on severe adverse events and health inequalities; exploratory analyses of these data suggest no meaningful impact. We identified a dearth of evidence for home and community-based settings (e.g. delivered through local youth groups), for children living with disabilities and indicators of health inequities.
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Affiliation(s)
- Francesca Spiga
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Annabel L Davies
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Eve Tomlinson
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Theresa Hm Moore
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Applied Research Collaboration West (ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Sarah Dawson
- NIHR Applied Research Collaboration West (ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Katie Breheny
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jelena Savović
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Applied Research Collaboration West (ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Yang Gao
- Department of Sport, Physical Education and Health, Hong Kong Baptist University, Kowloon, Hong Kong
| | - Sophie M Phillips
- Department of Sport and Exercise Science, Durham University, Durham, UK
- Fuse - Centre for Translational Research in Public Health, Newcastle upon Tyne, UK
- Child Health and Physical Activity Laboratory, School of Occupational Therapy, Western University, London, Ontario, Canada
| | - Frances Hillier-Brown
- Fuse - Centre for Translational Research in Public Health, Newcastle upon Tyne, UK
- Human Nutrition Research Centre and Population Health Sciences Institute, University of Newcastle, Newcastle, UK
| | - Rebecca K Hodder
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton, Australia
- National Centre of Implementation Science, The University of Newcastle, Callaghan, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia
| | - Julian Pt Higgins
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Applied Research Collaboration West (ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
- NIHR Bristol Biomedical Research Centre at University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
| | - Carolyn D Summerbell
- Department of Sport and Exercise Science, Durham University, Durham, UK
- Fuse - Centre for Translational Research in Public Health, Newcastle upon Tyne, UK
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Guirguis-Blake JM, Evans CV, Coppola EL, Redmond N, Perdue LA. Screening for Lipid Disorders in Children and Adolescents: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force. JAMA 2023; 330:261-274. [PMID: 37462700 DOI: 10.1001/jama.2023.8867] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/21/2023]
Abstract
Importance Lipid screening in childhood and adolescence can lead to early dyslipidemia diagnosis. The long-term benefits of lipid screening and subsequent treatment in this population are uncertain. Objective To review benefits and harms of screening and treatment of pediatric dyslipidemia due to familial hypercholesterolemia (FH) and multifactorial dyslipidemia. Data Sources MEDLINE and the Cochrane Central Register of Controlled Trials through May 16, 2022; literature surveillance through March 24, 2023. Study Selection English-language randomized clinical trials (RCTs) of lipid screening; recent, large US cohort studies reporting diagnostic yield or screen positivity; and RCTs of lipid-lowering interventions. Data Extraction and Synthesis Single extraction, verified by a second reviewer. Quantitative synthesis using random-effects meta-analysis. Main Outcomes and Measures Health outcomes, diagnostic yield, intermediate outcomes, behavioral outcomes, and harms. Results Forty-three studies were included (n = 491 516). No RCTs directly addressed screening effectiveness and harms. Three US studies (n = 395 465) reported prevalence of phenotypically defined FH of 0.2% to 0.4% (1:250 to 1:500). Five studies (n = 142 257) reported multifactorial dyslipidemia prevalence; the prevalence of elevated total cholesterol level (≥200 mg/dL) was 7.1% to 9.4% and of any lipid abnormality was 19.2%. Ten RCTs in children and adolescents with FH (n = 1230) demonstrated that statins were associated with an 81- to 82-mg/dL greater mean reduction in levels of total cholesterol and LDL-C compared with placebo at up to 2 years. Nonstatin-drug trials showed statistically significant lowering of lipid levels in FH populations, but few studies were available for any single drug. Observational studies suggest that statin treatment for FH starting in childhood or adolescence reduces long-term cardiovascular disease risk. Two multifactorial dyslipidemia behavioral counseling trials (n = 934) demonstrated 3- to 6-mg/dL greater reductions in total cholesterol levels compared with the control group, but findings did not persist at longest follow-up. Harms reported in the short-term drug trials were similar in the intervention and control groups. Conclusions and Relevance No direct evidence on the benefits or harms of pediatric lipid screening was identified. While multifactorial dyslipidemia is common, no evidence was found that treatment is effective for this condition. In contrast, FH is relatively rare; evidence shows that statins reduce lipid levels in children with FH, and observational studies suggest that such treatment has long-term benefit for this condition.
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Affiliation(s)
- Janelle M Guirguis-Blake
- Kaiser Permanente Evidence-based Practice Center, Center for Health Research, Kaiser Permanente, Portland, Oregon
- Department of Family Medicine, University of Washington, Tacoma
| | - Corinne V Evans
- Kaiser Permanente Evidence-based Practice Center, Center for Health Research, Kaiser Permanente, Portland, Oregon
| | - Erin L Coppola
- Kaiser Permanente Evidence-based Practice Center, Center for Health Research, Kaiser Permanente, Portland, Oregon
| | - Nadia Redmond
- Kaiser Permanente Evidence-based Practice Center, Center for Health Research, Kaiser Permanente, Portland, Oregon
| | - Leslie A Perdue
- Kaiser Permanente Evidence-based Practice Center, Center for Health Research, Kaiser Permanente, Portland, Oregon
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Wolfenden L, McCrabb S, Barnes C, O'Brien KM, Ng KW, Nathan NK, Sutherland R, Hodder RK, Tzelepis F, Nolan E, Williams CM, Yoong SL. Strategies for enhancing the implementation of school-based policies or practices targeting diet, physical activity, obesity, tobacco or alcohol use. Cochrane Database Syst Rev 2022; 8:CD011677. [PMID: 36036664 PMCID: PMC9422950 DOI: 10.1002/14651858.cd011677.pub3] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND Several school-based interventions are effective in improving child diet and physical activity, and preventing excessive weight gain, and tobacco or harmful alcohol use. However, schools are frequently unsuccessful in implementing such evidence-based interventions. OBJECTIVES 1. To evaluate the benefits and harms of strategies aiming to improve school implementation of interventions to address student diet, physical activity, tobacco or alcohol use, and obesity. 2. To evaluate the benefits and harms of strategies to improve intervention implementation on measures of student diet, physical activity, obesity, tobacco use or alcohol use; describe their cost or cost-effectiveness; and any harms of strategies on schools, school staff or students. SEARCH METHODS We used standard, extensive Cochrane search methods. The latest search was between 1 September 2016 and 30 April 2021 to identify any relevant trials published since the last published review. SELECTION CRITERIA We defined 'Implementation' as the use of strategies to adopt and integrate evidence-based health interventions and to change practice patterns within specific settings. We included any trial (randomised controlled trial (RCT) or non-randomised controlled trial (non-RCT)) conducted at any scale, with a parallel control group that compared a strategy to implement policies or practices to address diet, physical activity, overweight or obesity, tobacco or alcohol use by students to 'no intervention', 'usual' practice or a different implementation strategy. DATA COLLECTION AND ANALYSIS We used standard Cochrane methods. Given the large number of outcomes reported, we selected and included the effects of a single outcome measure for each trial for the primary (implementation) and secondary (student health behaviour and obesity) outcomes using a decision hierarchy. Where possible, we calculated standardised mean differences (SMDs) to account for variable outcome measures with 95% confidence intervals (CI). For RCTs, we conducted meta-analyses of primary and secondary outcomes using a random-effects model, or in instances where there were between two and five studies, a fixed-effect model. The synthesis of the effects for non-randomised studies followed the 'Synthesis without meta-analysis' (SWiM) guidelines. MAIN RESULTS We included an additional 11 trials in this update bringing the total number of included studies in the review to 38. Of these, 22 were conducted in the USA. Twenty-six studies used RCT designs. Seventeen trials tested strategies to implement healthy eating, 12 physical activity and six a combination of risk factors. Just one trial sought to increase the implementation of interventions to delay initiation or reduce the consumption of alcohol. All trials used multiple implementation strategies, the most common being educational materials, educational outreach and educational meetings. The overall certainty of evidence was low and ranged from very low to moderate for secondary review outcomes. Pooled analyses of RCTs found, relative to a control, the use of implementation strategies may result in a large increase in the implementation of interventions in schools (SMD 1.04, 95% CI 0.74 to 1.34; 22 RCTs, 1917 participants; low-certainty evidence). For secondary outcomes we found, relative to control, the use of implementation strategies to support intervention implementation may result in a slight improvement on measures of student diet (SMD 0.08, 95% CI 0.02 to 0.15; 11 RCTs, 16,649 participants; low-certainty evidence) and physical activity (SMD 0.09, 95% CI -0.02 to 0.19; 9 RCTs, 16,389 participants; low-certainty evidence). The effects on obesity probably suggest little to no difference (SMD -0.02, 95% CI -0.05 to 0.02; 8 RCTs, 18,618 participants; moderate-certainty evidence). The effects on tobacco use are very uncertain (SMD -0.03, 95% CIs -0.23 to 0.18; 3 RCTs, 3635 participants; very low-certainty evidence). One RCT assessed measures of student alcohol use and found strategies to support implementation may result in a slight increase in use (odds ratio 1.10, 95% CI 0.77 to 1.56; P = 0.60; 2105 participants). Few trials reported the economic evaluations of implementation strategies, the methods of which were heterogeneous and evidence graded as very uncertain. A lack of consistent terminology describing implementation strategies was an important limitation of the review. AUTHORS' CONCLUSIONS The use of implementation strategies may result in large increases in implementation of interventions, and slight improvements in measures of student diet, and physical activity. Further research is required to assess the impact of implementation strategies on such behavioural- and obesity-related outcomes, including on measures of alcohol use, where the findings of one trial suggest it may slightly increase student risk. Given the low certainty of the available evidence for most measures further research is required to guide efforts to facilitate the translation of evidence into practice in this setting.
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Affiliation(s)
- Luke Wolfenden
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia
| | - Sam McCrabb
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
| | - Courtney Barnes
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
| | - Kate M O'Brien
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
| | - Kwok W Ng
- Physical Activity for Health Research Cluster, Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland
- School of Educational Sciences and Psychology, University of Eastern Finland, Joensu, Finland
| | - Nicole K Nathan
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia
| | - Rachel Sutherland
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia
| | - Rebecca K Hodder
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia
| | - Flora Tzelepis
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Erin Nolan
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Christopher M Williams
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia
- Musculoskeletal Division, The George Institute for Global Health, Sydney, NSW, Australia
| | - Sze Lin Yoong
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia
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Mandoh M, Redfern J, Mihrshahi S, Cheng HL, Phongsavan P, Partridge SR. Shifting From Tokenism to Meaningful Adolescent Participation in Research for Obesity Prevention: A Systematic Scoping Review. Front Public Health 2022; 9:789535. [PMID: 35004591 PMCID: PMC8734426 DOI: 10.3389/fpubh.2021.789535] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 11/30/2021] [Indexed: 12/21/2022] Open
Abstract
Background: Traditionally, adolescent participation in research has been tokenistic. Adolescents are rarely afforded the opportunity to influence decision-making in research designed to prevent obesity. Engaging adolescents in meaningful decision-making may enhance research translation. This review aimed to analyze the current modes and nature of adolescent participation in obesity prevention research decision-making. Methods: A systematic scoping review was conducted using Arksey and O'Malley's six-stage framework. Six major databases were searched for peer-reviewed primary research studies with adolescent participation related to obesity, physical activity, and diet. Modes of adolescent participation were categorized based on the Lansdown-UNICEF conceptual framework for measuring outcomes of adolescent participation. The framework outlines three modes of meaningful participation: (i) consultative, which involves taking opinions and needs into consideration; (ii) collaborative, where adolescents are partners in the decision-making process; and (iii) adolescent-led participation where adolescents have the capacity to influence the process and outcomes. The degree of involvement in research cycles was classified based on the National Health and Medical Research Council consumer engagement framework. Five stages of the research cycle were determined: identify, design and develop, conduct, analyze and disseminate. Results: In total, 126 papers describing 71 unique studies were identified. Of these, 69% (49/71) took place in the USA, and 85% (52/61) were conducted in minority or underserved communities, while males were more likely to be under-represented. In 49% (35/71) of studies, participation was consultative and 9% (6/71) of studies involved an adolescent-led approach. Furthermore, 87% (62/71) of studies incorporated adolescent participation in one or more of the research cycle's formative phases, which involve eliciting views, opinions and idea generation. Only 11% of studies engaged adolescents in all five stages of the research cycle where adolescents could have more influence over the research process. Conclusion: Meaningful adolescent participation in the obesity prevention research cycle is limited. Empowering and mobilizing equal partnership with adolescents should be at the forefront of all adolescent-related obesity prevention research.
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Affiliation(s)
- Mariam Mandoh
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Julie Redfern
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.,The George Institute for Global Health, The University of New South Wales, Camperdown, NSW, Australia
| | - Seema Mihrshahi
- Department of Health Systems and Populations, Macquarie University, Sydney, NSW, Australia.,Prevention Research Collaboration, Charles Perkins Centre, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | - Hoi Lun Cheng
- Sydney Medical School, Faculty of Medicine and Health, Discipline of Child and Adolescent Health, The University of Sydney, Sydney, NSW, Australia.,The Children's Hospital at Westmead, Academic Department of Adolescent Medicine, Sydney, NSW, Australia
| | - Philayrath Phongsavan
- Prevention Research Collaboration, Charles Perkins Centre, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | - Stephanie R Partridge
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.,Prevention Research Collaboration, Charles Perkins Centre, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
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Naseeb M, Bruneau ML, Milliron BJ, Sukumar D, Foster GD, Smith SA, Volpe SL. Changes in Dietary Magnesium Intake and Risk of Type 2 Diabetes Mellitus in Middle School Students: Using Data from the HEALTHY Study. J Nutr 2021; 151:3442-3449. [PMID: 34313771 PMCID: PMC8921608 DOI: 10.1093/jn/nxab272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 03/11/2021] [Accepted: 07/23/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The HEALTHY Study was a multicomponent school-based intervention, designed to prevent type 2 diabetes mellitus (T2DM) in middle-school students. OBJECTIVES We examined whether the difference in dietary magnesium intake, BMI percentile, and plasma glucose and insulin concentrations from 6th to 8th grade were related in the intervention schools and in the control schools that participated in the HEALTHY Study. METHODS A total of 2181 ethnically diverse students, from 11.3 to 13.7 y of age, with completed dietary records, BMI percentile, and plasma glucose and insulin concentrations at 6th and 8th grades were included. Dietary magnesium intake was self-reported using the Block Kids FFQ. A hierarchical multiple regression model was used to determine whether the differences in dietary magnesium intake, BMI percentile, and plasma glucose and insulin concentrations from 6th to 8th grades were related, while adjusting for dietary calcium intake and total energy intake. RESULTS The difference in dietary magnesium intake was significantly related to changes in BMI percentile from 6th to 8th grade in intervention and in control schools [intervention: β: -0.07; 95% CI: -0.58, -0.02; P = 0.03; R2 (regression coefficient effect size): 0.14; 95% CI for R2: 0.10, 0.17; control: β: -0.08; 95% CI: -0.63, -0.09; P = 0.01; R2: 0.12; 95% CI for R2: 0.08, 0.15]. The difference in dietary magnesium intake was not related to plasma glucose and insulin concentrations in intervention and in control schools. CONCLUSIONS We conclude that a multicomponent intervention was associated with reduced risk of T2DM, and that this association may be modulated, in part, by magnesium. The differences in dietary magnesium intake from 6th to 8th grade were negatively related to changes in BMI percentile among middle-school students.
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Affiliation(s)
- Manal Naseeb
- Department of Clinical Nutrition, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Michael L Bruneau
- Department of Health Sciences, College of Nursing and Health Professions, Drexel University, Philadelphia, PA, USA
| | - Brandy-Joe Milliron
- Department of Nutrition Sciences, College of Nursing and Health Professions, Drexel University, Philadelphia, PA, USA
| | - Deeptha Sukumar
- Department of Nutrition Sciences, College of Nursing and Health Professions, Drexel University, Philadelphia, PA, USA
| | | | - Sinclair A Smith
- Department of Health Sciences, College of Nursing and Health Professions, Drexel University, Philadelphia, PA, USA
| | - Stella L Volpe
- Department of Human Nutrition, Foods, and Exercise, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
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Neil-Sztramko SE, Caldwell H, Dobbins M. School-based physical activity programs for promoting physical activity and fitness in children and adolescents aged 6 to 18. Cochrane Database Syst Rev 2021; 9:CD007651. [PMID: 34555181 PMCID: PMC8459921 DOI: 10.1002/14651858.cd007651.pub3] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
BACKGROUND Physical activity among children and adolescents is associated with lower adiposity, improved cardio-metabolic health, and improved fitness. Worldwide, fewer than 30% of children and adolescents meet global physical activity recommendations of at least 60 minutes of moderate to vigorous physical activity per day. Schools may be ideal sites for interventions given that children and adolescents in most parts of the world spend a substantial amount of time in transit to and from school or attending school. OBJECTIVES The purpose of this review update is to summarise the evidence on effectiveness of school-based interventions in increasing moderate to vigorous physical activity and improving fitness among children and adolescents 6 to 18 years of age. Specific objectives are: • to evaluate the effects of school-based interventions on increasing physical activity and improving fitness among children and adolescents; • to evaluate the effects of school-based interventions on improving body composition; and • to determine whether certain combinations or components (or both) of school-based interventions are more effective than others in promoting physical activity and fitness in this target population. SEARCH METHODS We searched CENTRAL, MEDLINE, Embase, CINAHL, PsycINFO, BIOSIS, SPORTDiscus, and Sociological Abstracts to 1 June 2020, without language restrictions. We screened reference lists of included articles and relevant systematic reviews. We contacted primary authors of studies to ask for additional information. SELECTION CRITERIA Eligible interventions were relevant to public health practice (i.e. were not delivered by a clinician), were implemented in the school setting, and aimed to increase physical activity among all school-attending children and adolescents (aged 6 to 18) for at least 12 weeks. The review was limited to randomised controlled trials. For this update, we have added two new criteria: the primary aim of the study was to increase physical activity or fitness, and the study used an objective measure of physical activity or fitness. Primary outcomes included proportion of participants meeting physical activity guidelines and duration of moderate to vigorous physical activity and sedentary time (new to this update). Secondary outcomes included measured body mass index (BMI), physical fitness, health-related quality of life (new to this update), and adverse events (new to this update). Television viewing time, blood cholesterol, and blood pressure have been removed from this update. DATA COLLECTION AND ANALYSIS: Two independent review authors used standardised forms to assess each study for relevance, to extract data, and to assess risk of bias. When discrepancies existed, discussion occurred until consensus was reached. Certainty of evidence was assessed according to GRADE. A random-effects meta-analysis based on the inverse variance method was conducted with participants stratified by age (children versus adolescents) when sufficient data were reported. Subgroup analyses explored effects by intervention type. MAIN RESULTS Based on the three new inclusion criteria, we excluded 16 of the 44 studies included in the previous version of this review. We screened an additional 9968 titles (search October 2011 to June 2020), of which 978 unique studies were potentially relevant and 61 met all criteria for this update. We included a total of 89 studies representing complete data for 66,752 study participants. Most studies included children only (n = 56), followed by adolescents only (n = 22), and both (n = 10); one study did not report student age. Multi-component interventions were most common (n = 40), followed by schooltime physical activity (n = 19), enhanced physical education (n = 15), and before and after school programmes (n = 14); one study explored both enhanced physical education and an after school programme. Lack of blinding of participants, personnel, and outcome assessors and loss to follow-up were the most common sources of bias. Results show that school-based physical activity interventions probably result in little to no increase in time engaged in moderate to vigorous physical activity (mean difference (MD) 0.73 minutes/d, 95% confidence interval (CI) 0.16 to 1.30; 33 studies; moderate-certainty evidence) and may lead to little to no decrease in sedentary time (MD -3.78 minutes/d, 95% CI -7.80 to 0.24; 16 studies; low-certainty evidence). School-based physical activity interventions may improve physical fitness reported as maximal oxygen uptake (VO₂max) (MD 1.19 mL/kg/min, 95% CI 0.57 to 1.82; 13 studies; low-certainty evidence). School-based physical activity interventions may result in a very small decrease in BMI z-scores (MD -0.06, 95% CI -0.09 to -0.02; 21 studies; low-certainty evidence) and may not impact BMI expressed as kg/m² (MD -0.07, 95% CI -0.15 to 0.01; 50 studies; low-certainty evidence). We are very uncertain whether school-based physical activity interventions impact health-related quality of life or adverse events. AUTHORS' CONCLUSIONS Given the variability of results and the overall small effects, school staff and public health professionals must give the matter considerable thought before implementing school-based physical activity interventions. Given the heterogeneity of effects, the risk of bias, and findings that the magnitude of effect is generally small, results should be interpreted cautiously.
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Affiliation(s)
| | - Hilary Caldwell
- Department of Kinesiology, Child Health & Exercise Medicine Program, McMaster University, Hamilton, Canada
| | - Maureen Dobbins
- School of Nursing, McMaster University, Hamilton, Canada
- National Collaborating Centre for Methods and Tools, Hamilton, Canada
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7
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Naseeb M, Milliron BJ, Bruneau ML, Sukumar D, Foster GD, Smith SA, Volpe SL. Dietary magnesium intake in relation to body mass index and glycemic indices in middle school students from the HEALTHY Study. Nutr Health 2021; 27:211-219. [PMID: 33530870 DOI: 10.1177/0260106020982345] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Data on dietary magnesium intake on the risk of type 2 diabetes mellitus (T2DM) among children and adolescents is limited. AIM We examined whether dietary magnesium intake was related to body mass index (BMI) percentile, and glycemic indices at baseline and at end of the HEALTHY Study for both intervention and control schools. The HEALTHY Study was a multi-component, school-based intervention, to prevent T2DM in children and adolescents from 6th to 8th grades. METHODS A secondary data analyses of 2181 ethnically diverse students with completed dietary records, BMI percentile, and plasma insulin and glucose concentrations at baseline (6th grade) and end of study (8th grade) were included from the HEALTHY Study. Dietary magnesium intake was self-reported using the Block Kids Food Frequency Questionnaire. A hierarchical multiple regression model was used to determine the relationships between dietary magnesium intake, BMI percentile, and glycemic indices at baseline and end of the HEALTHY Study, adjusting for magnesium intake from supplements, total energy intake, and fitness level. RESULTS Dietary magnesium intake was related to BMI percentile at baseline and at end of the HEATHY Study (β = -0.05, 95% CI = -0.02 to 0, p = 0.04; β = -0.06, 95% CI = -0.02 to -0.003, p = 0.004); R 2 [regression coefficient effect size] = 0.03; R 2 = 0.06). Dietary magnesium intake was not related to plasma insulin and glucose concentrations at baseline and end of the HEALTHY Study. CONCLUSION Dietary magnesium intake was inversely related to BMI percentile among middle school students from the HEALTHY Study. Research is required to evaluate the dose-response relationship between fruit and vegetable consumption (good sources of magnesium) and risk of T2DM in children and adolescents. This relationship also needs to be explored among different BMI categories.
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Affiliation(s)
- Manal Naseeb
- Clinical Nutrition Department, 6527Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Brandy-Joe Milliron
- Department of Nutrition Sciences, 6527Drexel University, Philadelphia, PA, USA
| | - Michael L Bruneau
- Department of Health Sciences, 6527Drexel University, Philadelphia, PA, USA
| | - Deeptha Sukumar
- Department of Nutrition Sciences, 6527Drexel University, Philadelphia, PA, USA
| | | | - Sinclair A Smith
- Department of Health Sciences, 6527Drexel University, Philadelphia, PA, USA
| | - Stella L Volpe
- 1757Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
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Dorenbos E, Drummen M, Adam T, Rijks J, Winkens B, Martínez JA, Navas‐Carretero S, Stratton G, Swindell N, Stouthart P, Mackintosh K, Mcnarry M, Tremblay A, Fogelholm M, Raben A, Westerterp‐Plantenga M, Vreugdenhil A. Effect of a high protein/low glycaemic index diet on insulin resistance in adolescents with overweight/obesity-A PREVIEW randomized clinical trial. Pediatr Obes 2021; 16:e12702. [PMID: 32681547 PMCID: PMC7757177 DOI: 10.1111/ijpo.12702] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 06/10/2020] [Accepted: 06/20/2020] [Indexed: 12/22/2022]
Abstract
BACKGROUND Pubertal insulin resistance (IR) is associated with increased risk of type 2 diabetes mellitus development in adolescents with overweight/obesity. OBJECTIVES The PREVIEW study was a randomized parallel trial assessing the change in IR, analyzed by Homeostatic Model Assessment of IR (HOMA-IR), at 2 years after randomization to a high protein vs a moderate protein diet in adolescents with overweight/obesity. It was hypothesized that a high protein/low glycaemic index diet would be superior in reducing IR compared to a medium protein/medium GI diet, in insulin resistant adolescents with overweight or obesity. METHODS Adolescents with overweight/obesity and IR from the Netherlands, United Kingdom and Spain were randomized into a moderate protein/moderate GI (15/55/30En% protein/carbohydrate/fat, GI ≥ 56) or high protein/low GI (25/45/30En% protein/carbohydrate/fat, GI < 50) diet. Anthropometric and cardiometabolic parameters, puberty, dietary intake and physical activity (PA) were measured and effects on HOMA-IR were analyzed. RESULTS 126 adolescents were included in this study (13.6 ± 2.2 years, BMI z-score 3.04 ± 0.66, HOMA-IR 3.48 ± 2.28, HP n = 68, MP n = 58). At 2 years, changes in protein intake were not significantly different between timepoints or intervention groups and no effects of the intervention on IR were observed. The retention rate was 39%, while no compliance to the diets was observed. CONCLUSIONS The PREVIEW study observed no effect of a high protein/low GI diet on IR in adolescents with overweight/obesity and IR because of lack of feasibility, due to insufficient retention and dietary compliance after 2 years.
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Affiliation(s)
- Elke Dorenbos
- NUTRIM School of Nutrition and Translational Research in MetabolismMaastricht UniversityMaastrichtThe Netherlands,Centre for Overweight Adolescent and Children's Healthcare (COACH)Maastricht University Medical CentreMaastrichtThe Netherlands
| | - Mathijs Drummen
- NUTRIM School of Nutrition and Translational Research in MetabolismMaastricht UniversityMaastrichtThe Netherlands
| | - Tanja Adam
- NUTRIM School of Nutrition and Translational Research in MetabolismMaastricht UniversityMaastrichtThe Netherlands
| | - Jesse Rijks
- Centre for Overweight Adolescent and Children's Healthcare (COACH)Maastricht University Medical CentreMaastrichtThe Netherlands
| | - Bjorn Winkens
- Department of Methodology and StatisticsCare and Public Health Research Institute (CAPHRI), Maastricht UniversityMaastrichtThe Netherlands
| | - J. Alfredo Martínez
- Department of Nutrition, Food Science and Physiology, Centre for Nutrition Research (CIN)Universidad de NavarraPamplonaSpain,CIBERobn, Instituto de Salud Carlos IIIMadridSpain,IMDEA Research Institute on Food and Health SciencesMadridSpain
| | - Santiago Navas‐Carretero
- Department of Nutrition, Food Science and Physiology, Centre for Nutrition Research (CIN)Universidad de NavarraPamplonaSpain,CIBERobn, Instituto de Salud Carlos IIIMadridSpain
| | - Gareth Stratton
- Research Centre in Applied Sports, Technology, Exercise and Medicine (A‐STEM)Swansea UniversitySwanseaUK
| | - Nils Swindell
- Research Centre in Applied Sports, Technology, Exercise and Medicine (A‐STEM)Swansea UniversitySwanseaUK
| | - Pauline Stouthart
- Centre for Overweight Adolescent and Children's Healthcare (COACH)Maastricht University Medical CentreMaastrichtThe Netherlands
| | - Kelly Mackintosh
- Research Centre in Applied Sports, Technology, Exercise and Medicine (A‐STEM)Swansea UniversitySwanseaUK
| | - Melitta Mcnarry
- Research Centre in Applied Sports, Technology, Exercise and Medicine (A‐STEM)Swansea UniversitySwanseaUK
| | | | - Mikael Fogelholm
- Department of Food and Nutrition, University of HelsinkiHelsinkiFinland
| | - Anne Raben
- Department of Nutrition, Exercise and Sports, Faculty of ScienceUniversity of CopenhagenFrederiksbergDenmark
| | | | - Anita Vreugdenhil
- NUTRIM School of Nutrition and Translational Research in MetabolismMaastricht UniversityMaastrichtThe Netherlands,Centre for Overweight Adolescent and Children's Healthcare (COACH)Maastricht University Medical CentreMaastrichtThe Netherlands
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9
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Avilés-Santa ML, Hsu L, Lam TK, Arteaga SS, Artiles L, Coady S, Cooper LS, Curry J, Desvigne-Nickens P, Nicastro HL, Rosario A. Funding of Hispanic/Latino Health-Related Research by the National Institutes of Health: An Analysis of the Portfolio of Research Program Grants on Six Health Topic Areas. Front Public Health 2020; 8:330. [PMID: 33014952 PMCID: PMC7493677 DOI: 10.3389/fpubh.2020.00330] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 06/15/2020] [Indexed: 12/15/2022] Open
Abstract
Hispanics/Latinos are expected to constitute 25% of the U.S. population by 2060. Differences in the prevalence of health risk factors, chronic diseases, and access to and utilization of health-care services between Hispanics/Latinos and other populations in the U.S. have been documented. This study aimed to describe and analyze the landscape of Research Program Grants (RPGs) funded by the National Institutes of Health (NIH) between 2008 and 2015 involving Hispanic/Latino health research in six health condition areas-asthma, cancer, dementia, diabetes, liver/gallbladder disease, and obesity-and to identify opportunities for continued research in these areas. Using an NIH internal search engine, we identified new and renewal Hispanic/Latino health RPGs searching for specific Hispanic/Latino identifiers in the Title, Abstract, and Specific Aims. We used descriptive statistics to examine the distribution of funded RPGs by NIH disease-based classification codes for the six health condition areas of interest, and other selected characteristics. The most prominent clusters of research subtopics were identified within each health condition area, and performance sites were mapped at the city level. Within the selected time frame, 3,221 Hispanic/Latino health-related unique RPGs were funded (constituting 4.4% of all funded RPGs), and of those 625 RPGs were eligible for review and coding in the present study. Cancer and obesity were the most commonly studied health condition areas (72%), while studies on mechanisms of disease-biological and non-biological-(72.6%), behavioral research (42.1%) and epidemiological studies (38.1%) were the most common types of research. Most of the primary performance sites were in California, Texas, the northeastern U.S., and Illinois. The predominance of mechanistic, behavioral, and epidemiological studies in our analysis poses opportunities to evaluate knowledge gained and their clinical application, explore new research questions, or to update some methods or instruments. The findings of the present study suggest opportunities to expand research in understudied mechanisms of disease that could explain differences in prevalence of conditions like diabetes and cancer among different heritage groups. In addition, our findings suggest that the impact of interventions or policies designed to reduce health disparities, innovative multi-level interventions, implementation and dissemination studies, the role of health information technology on health outcomes, and the intersectionality of individual, sociocultural, geographic, and other factors on health outcomes, among others, are understudied approaches, which could potentially advance research in Hispanic/Latino health and contribute to the achievement of better health outcomes in this diverse population.
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Affiliation(s)
- M. Larissa Avilés-Santa
- Clinical and Health Services Research, National Institute on Minority Health and Health Disparities, Bethesda, MD, United States
| | - Laura Hsu
- Division of Extramural Research Activities, National Heart, Lung, and Blood Institute, Bethesda, MD, United States
| | - Tram Kim Lam
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, United States
| | - S. Sonia Arteaga
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD, United States
| | - Ligia Artiles
- Division of Scientific Programs, National Institutes on Minority Health and Health Disparities, Bethesda, MD, United States
| | - Sean Coady
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD, United States
| | - Lawton S. Cooper
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD, United States
| | - Jennifer Curry
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, Bethesda, MD, United States
| | - Patrice Desvigne-Nickens
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD, United States
| | - Holly L. Nicastro
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD, United States
| | - Adelaida Rosario
- Division of Scientific Programs, National Institutes on Minority Health and Health Disparities, Bethesda, MD, United States
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10
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Kelsey MM, Zeitler PS, Drews K, Chan CL. Normal Hemoglobin A1c Variability in Early Adolescence: Adult Criteria for Prediabetes Should Be Applied with Caution. J Pediatr 2020; 216:232-235. [PMID: 31405525 PMCID: PMC6917915 DOI: 10.1016/j.jpeds.2019.07.031] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 07/03/2019] [Accepted: 07/11/2019] [Indexed: 12/17/2022]
Abstract
American Diabetes Association adult criteria are used to screen youth for diabetes, but little is known about normal glycemia in youth. In the HEALTHY Study (total n = 8814), hemoglobin A1c was ≥5.7% in 2% of normal weight youth. This suggests need for cautious interpretation of prediabetes hemoglobin A1s in youth.
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Affiliation(s)
- Megan M. Kelsey
- University of Colorado School of Medicine, Department of Pediatrics
| | | | - Kimberly Drews
- George Washington University, Department of Biostatistics
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11
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Amiri P, Kazemian E, Mansouri-Tehrani MM, Khalili A, Amouzegar A. Does motivational interviewing improve the weight management process in adolescents? Protocol for a systematic review and meta-analysis. Syst Rev 2018; 7:178. [PMID: 30376888 PMCID: PMC6208103 DOI: 10.1186/s13643-018-0814-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Accepted: 09/11/2018] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Data on the effects of motivational interviewing (MI) on modifying unhealthy lifestyles and promoting weight status during childhood is controversial. Adolescents are more prone to assume higher personal responsibilities for behavioral changes. This study aims to investigate whether MI will improve weight management process in adolescents. METHODS/DESIGN A systematic review will be conducted on clinical trials, assessing the effect of MI on weight management processes in adolescents, aged 10 to 19 years. The primary objective is to assess the efficacy of MI in controlling weight-related measures in overweight and obese adolescents. Secondary objectives are assessing the efficacy of MI on obesity-related behaviors and cognitive abilities considering heterogeneity in outcomes of primary studies in different MI settings. Main data sources include MEDLINE/PubMed, Scopus, Embase, Web of Science, Cochrane, and PsycINFO from 1980 to May, 2018, with no language restrictions. Study selection, data extraction, and risk of bias assessment will be performed by two independent reviewers. A meta-analysis will be conducted on relevant outcomes. Data will be analyzed for outcome of interest using the 95% confidence interval (CI) of an estimate for dichotomous outcomes and mean differences (MDs) for continious outcomes. Cochrane's Q statistic and the I2 statistic will be performed to evaluate the heterogeneity. Subgroup analysis and suitable analytical strategies will be conducted to identify the potential sources of heterogeneity. As we expect a high heterogeneity in our included studies, pooled risk ratios (RRs) and 95% CI will be calculated to estimate the overall effect sizes, using meta-regression models or finite mixture modeling through conducting random effect methods. GRADE system will be used to evaluate the certainty of evidence. We will also use subgroup analysis and the GRADE system to investigate the effect of methodological quality of primary studies on results of meta-analysis. Funnel plots and egger and beggs test and plot will be implemented to assess publication bias. DISCUSSION The results of this systematic review will provide more insights regarding the effect of MI on weight management in adolescents and will be useful for future research and health promotion programs in this age group. SYSTEMATIC REVIEW REGISTRATION PROSPERO 2017:CRD42017069813.
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Affiliation(s)
- Parisa Amiri
- Research Center of Social Determinants of Health, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Elham Kazemian
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, P.O. Box: 19395-4763, Tehran, Iran
- Department of Basic Sciences and Cellular and Molecular Nutrition, Faculty of Nutrition Sciences and Food Technology and National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Masih Mansouri-Tehrani
- Research Center of Social Determinants of Health, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Ahmad Khalili
- Research Center of Social Determinants of Health, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Atieh Amouzegar
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, P.O. Box: 19395-4763, Tehran, Iran
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Wolfenden L, Nathan NK, Sutherland R, Yoong SL, Hodder RK, Wyse RJ, Delaney T, Grady A, Fielding A, Tzelepis F, Clinton‐McHarg T, Parmenter B, Butler P, Wiggers J, Bauman A, Milat A, Booth D, Williams CM. Strategies for enhancing the implementation of school-based policies or practices targeting risk factors for chronic disease. Cochrane Database Syst Rev 2017; 11:CD011677. [PMID: 29185627 PMCID: PMC6486103 DOI: 10.1002/14651858.cd011677.pub2] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND A number of school-based policies or practices have been found to be effective in improving child diet and physical activity, and preventing excessive weight gain, tobacco or harmful alcohol use. Schools, however, frequently fail to implement such evidence-based interventions. OBJECTIVES The primary aims of the review are to examine the effectiveness of strategies aiming to improve the implementation of school-based policies, programs or practices to address child diet, physical activity, obesity, tobacco or alcohol use.Secondary objectives of the review are to: Examine the effectiveness of implementation strategies on health behaviour (e.g. fruit and vegetable consumption) and anthropometric outcomes (e.g. BMI, weight); describe the impact of such strategies on the knowledge, skills or attitudes of school staff involved in implementing health-promoting policies, programs or practices; describe the cost or cost-effectiveness of such strategies; and describe any unintended adverse effects of strategies on schools, school staff or children. SEARCH METHODS All electronic databases were searched on 16 July 2017 for studies published up to 31 August 2016. We searched the following electronic databases: Cochrane Library including the Cochrane Central Register of Controlled Trials (CENTRAL); MEDLINE; MEDLINE In-Process & Other Non-Indexed Citations; Embase Classic and Embase; PsycINFO; Education Resource Information Center (ERIC); Cumulative Index to Nursing and Allied Health Literature (CINAHL); Dissertations and Theses; and SCOPUS. We screened reference lists of all included trials for citations of other potentially relevant trials. We handsearched all publications between 2011 and 2016 in two specialty journals (Implementation Science and Journal of Translational Behavioral Medicine) and conducted searches of the WHO International Clinical Trials Registry Platform (ICTRP) (http://apps.who.int/trialsearch/) as well as the US National Institutes of Health registry (https://clinicaltrials.gov). We consulted with experts in the field to identify other relevant research. SELECTION CRITERIA 'Implementation' was defined as the use of strategies to adopt and integrate evidence-based health interventions and to change practice patterns within specific settings. We included any trial (randomised or non-randomised) conducted at any scale, with a parallel control group that compared a strategy to implement policies or practices to address diet, physical activity, overweight or obesity, tobacco or alcohol use by school staff to 'no intervention', 'usual' practice or a different implementation strategy. DATA COLLECTION AND ANALYSIS Citation screening, data extraction and assessment of risk of bias was performed by review authors in pairs. Disagreements between review authors were resolved via consensus, or if required, by a third author. Considerable trial heterogeneity precluded meta-analysis. We narratively synthesised trial findings by describing the effect size of the primary outcome measure for policy or practice implementation (or the median of such measures where a single primary outcome was not stated). MAIN RESULTS We included 27 trials, 18 of which were conducted in the USA. Nineteen studies employed randomised controlled trial (RCT) designs. Fifteen trials tested strategies to implement healthy eating policies, practice or programs; six trials tested strategies targeting physical activity policies or practices; and three trials targeted tobacco policies or practices. Three trials targeted a combination of risk factors. None of the included trials sought to increase the implementation of interventions to delay initiation or reduce the consumption of alcohol. All trials examined multi-strategic implementation strategies and no two trials examined the same combinations of implementation strategies. The most common implementation strategies included educational materials, educational outreach and educational meetings. For all outcomes, the overall quality of evidence was very low and the risk of bias was high for the majority of trials for detection and performance bias.Among 13 trials reporting dichotomous implementation outcomes-the proportion of schools or school staff (e.g. classes) implementing a targeted policy or practice-the median unadjusted (improvement) effect sizes ranged from 8.5% to 66.6%. Of seven trials reporting the percentage of a practice, program or policy that had been implemented, the median unadjusted effect (improvement), relative to the control ranged from -8% to 43%. The effect, relative to control, reported in two trials assessing the impact of implementation strategies on the time per week teachers spent delivering targeted policies or practices ranged from 26.6 to 54.9 minutes per week. Among trials reporting other continuous implementation outcomes, findings were mixed. Four trials were conducted of strategies that sought to achieve implementation 'at scale', that is, across samples of at least 50 schools, of which improvements in implementation were reported in three trials.The impact of interventions on student health behaviour or weight status were mixed. Three of the eight trials with physical activity outcomes reported no significant improvements. Two trials reported reductions in tobacco use among intervention relative to control. Seven of nine trials reported no between-group differences on student overweight, obesity or adiposity. Positive improvements in child dietary intake were generally reported among trials reporting these outcomes. Three trials assessed the impact of implementation strategies on the attitudes of school staff and found mixed effects. Two trials specified in the study methods an assessment of potential unintended adverse effects, of which, they reported none. One trial reported implementation support did not significantly increase school revenue or expenses and another, conducted a formal economic evaluation, reporting the intervention to be cost-effective. Trial heterogeneity, and the lack of consistent terminology describing implementation strategies, were important limitations of the review. AUTHORS' CONCLUSIONS Given the very low quality of the available evidence, it is uncertain whether the strategies tested improve implementation of the targeted school-based policies or practices, student health behaviours, or the knowledge or attitudes of school staff. It is also uncertain if strategies to improve implementation are cost-effective or if they result in unintended adverse consequences. Further research is required to guide efforts to facilitate the translation of evidence into practice in this setting.
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Minatto G, Barbosa Filho VC, Berria J, Petroski EL. School-Based Interventions to Improve Cardiorespiratory Fitness in Adolescents: Systematic Review with Meta-analysis. Sports Med 2017; 46:1273-92. [PMID: 26846429 DOI: 10.1007/s40279-016-0480-6] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND School-based intervention can contribute to the promotion of cardiorespiratory fitness (CRF) in adolescents. However, it is neces sary to systematize how intervention strategies and the methodological characteristics of studies influence the effects of CRF interventions. OBJECTIVE A meta-analysis review of school-based intervention studies aimed at increasing CRF in adolescents (10-19 years of age) was conducted. METHODS A search for studies was conducted using the Medline, Web of Science, LILACS, PsycINFO, Embase, Scopus, SPORTDiscus and Cochrane databases and the reference lists of the selected studies. The peer selection process included consideration of school-based randomized or non-randomized controlled trials with a duration ≥12 weeks published in English, Portuguese or Spanish, and with some CRF measures. The methodological quality of the studies was also assessed. The standardized mean differences (SMDs) and 95 % confidence intervals (95 % CIs) were calculated as an effect measure. RESULTS Forty publications of 30 interventions were included in the review, and 25 of these were meta-analysed. The effects of CRF interventions were moderate and significant (SMD = 0.68, 95 % CI 0.45-0.90), with high heterogeneity (I (2) = 97 %). The effect size varied significantly according to the age group, sample size, intervention environment, strategies in experimental groups, CRF priority in the study, CRF test and indicator, session length, weekly frequency, intervention duration and presentation of results by sex. CONCLUSION Interventions in the school environment seem to have a positive effect on CRF among adolescents, but there is high heterogeneity between studies. Some intervention characteristics can explain better effects on CRF (e.g. exercise sessions in addition to physical education classes; primary focus on this outcome; combination of aerobic and resistance exercises; classes lasting ≥60 min; frequency of three times weekly; and intensity control).
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Affiliation(s)
- Giseli Minatto
- Research Centre for Kinanthropometry and Human Performance, Sports Centre, Campus Universitário, Federal University of Santa Catarina, Trindade, Caixa Postal 476, Florianópolis, SC, CEP 88040-900, Brazil.
| | - Valter Cordeiro Barbosa Filho
- Research Centre for Physical Activity and Health, Sports Centre, Federal University of Santa Catarina, Florianópolis, SC, Brazil
| | - Juliane Berria
- Research Centre for Kinanthropometry and Human Performance, Sports Centre, Campus Universitário, Federal University of Santa Catarina, Trindade, Caixa Postal 476, Florianópolis, SC, CEP 88040-900, Brazil
| | - Edio Luiz Petroski
- Research Centre for Kinanthropometry and Human Performance, Sports Centre, Campus Universitário, Federal University of Santa Catarina, Trindade, Caixa Postal 476, Florianópolis, SC, CEP 88040-900, Brazil
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Beets MW, Okely A, Weaver RG, Webster C, Lubans D, Brusseau T, Carson R, Cliff DP. The theory of expanded, extended, and enhanced opportunities for youth physical activity promotion. Int J Behav Nutr Phys Act 2016; 13:120. [PMID: 27852272 PMCID: PMC5112641 DOI: 10.1186/s12966-016-0442-2] [Citation(s) in RCA: 101] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Accepted: 11/02/2016] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Physical activity interventions targeting children and adolescents (≤18 years) often focus on complex intra- and inter-personal behavioral constructs, social-ecological frameworks, or some combination of both. Recently published meta-analytical reviews and large-scale randomized controlled trials have demonstrated that these intervention approaches have largely produced minimal or no improvements in young people's physical activity levels. DISCUSSION In this paper, we propose that the main reason for previous studies' limited effects is that fundamental mechanisms that lead to change in youth physical activity have often been overlooked or misunderstood. Evidence from observational and experimental studies is presented to support the development of a new theory positing that the primary mechanisms of change in many youth physical activity interventions are approaches that fall into one of the following three categories: (a) the expansion of opportunities for youth to be active by the inclusion of a new occasion to be active, (b) the extension of an existing physical activity opportunity by increasing the amount of time allocated for that opportunity, and/or (c) the enhancement of existing physical activity opportunities through strategies designed to increase physical activity above routine practice. Their application and considerations for intervention design and interpretation are presented. The utility of these mechanisms, referred to as the Theory of Expanded, Extended, and Enhanced Opportunities (TEO), is demonstrated in their parsimony, logical appeal, support with empirical evidence, and the direct and immediate application to numerous settings and contexts. The TEO offers a new way to understand youth physical activity behaviors and provides a common taxonomy by which interventionists can identify appropriate targets for interventions across different settings and contexts. We believe the formalization of the TEO concepts will propel them to the forefront in the design of future intervention studies and through their use, lead to a greater impact on youth activity behaviors than what has been demonstrated in previous studies.
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Affiliation(s)
- Michael W Beets
- Arnold School of Public Health, University of South Carolina, 921 Assembly St, 1st Flr Suite, RM 131, Columbia, SC, 29208, USA.
| | - Anthony Okely
- Early Start Research Institute, Faculty of Social Sciences, University of Wollongong, Wollongong, NSW, Australia
- Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, Australia
| | - R Glenn Weaver
- Arnold School of Public Health, University of South Carolina, 921 Assembly St, 1st Flr Suite, RM 131, Columbia, SC, 29208, USA
| | - Collin Webster
- Department of Physical Education, University of South Carolina, Columbia, SC, USA
| | - David Lubans
- Priority Research Centre for Physical Activity and Nutrition, Faculty of Education and Arts, University of Newcastle, Newcastle, Australia
| | - Tim Brusseau
- Physical Activity Research Laboratory, Department of Health, Kinesiology, and Recreation, University of Utah, Salt Lake City, UT, USA
| | - Russ Carson
- University of Northern Colorado, Greeley, CO, USA
| | - Dylan P Cliff
- Early Start Research Institute, Faculty of Social Sciences, University of Wollongong, Wollongong, NSW, Australia
- Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, Australia
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Rogers EA, Fine SC, Handley MA, Davis HB, Kass J, Schillinger D. Engaging Minority Youth in Diabetes Prevention Efforts Through a Participatory, Spoken-Word Social Marketing Campaign. Am J Health Promot 2016; 31:336-339. [PMID: 26730553 DOI: 10.4278/ajhp.141215-arb-624] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PURPOSE To examine the reach, efficacy, and adoption of The Bigger Picture, a type 2 diabetes (T2DM) social marketing campaign that uses spoken-word public service announcements (PSAs) to teach youth about socioenvironmental conditions influencing T2DM risk. DESIGN A nonexperimental pilot dissemination evaluation through high school assemblies and a Web-based platform were used. SETTING The study took place in San Francisco Bay Area high schools during 2013. SUBJECTS In the study, 885 students were sampled from 13 high schools. INTERVENTION A 1-hour assembly provided data, poet performances, video PSAs, and Web-based platform information. A Web-based platform featured the campaign Web site and social media. MEASURES Student surveys preassembly and postassembly (knowledge, attitudes), assembly observations, school demographics, counts of Web-based utilization, and adoption were measured. ANALYSIS Descriptive statistics, McNemar's χ2 test, and mixed modeling accounting for clustering were used to analyze data. RESULTS The campaign included 23 youth poet-created PSAs. It reached >2400 students (93% self-identified non-white) through school assemblies and has garnered >1,000,000 views of Web-based video PSAs. School participants demonstrated increased short-term knowledge of T2DM as preventable, with risk driven by socioenvironmental factors (34% preassembly identified environmental causes as influencing T2DM risk compared to 83% postassembly), and perceived greater personal salience of T2DM risk reduction (p < .001 for all). The campaign has been adopted by regional public health departments. CONCLUSION The Bigger Picture campaign showed its potential for reaching and engaging diverse youth. Campaign messaging is being adopted by stakeholders.
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Key Words
- Health focus: prevention and health literacy
- Outcome measure: cognitive, descriptive
- Research purpose: program evaluation
- Setting: Web-based platform, school
- Strategy: education
- Study design: nonexperimental
- Target population age: youth
- Target population circumstances: income level, geographic location, race/ethnicity
- Type 2 Diabetes Mellitus, Prevention, Adolescent, Social Marketing, Health Campaigns, Health Literacy, Prevention Research. Manuscript format: research
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Affiliation(s)
- Elizabeth A Rogers
- 1 Departments of Internal Medicine and Pediatrics, and the Department of Medicine's Applied Clinical Research Program, University of Minnesota, Minneapolis, Minnesota.,2 Departments of Internal Medicine and Pediatrics, University of California, San Francisco, California
| | - Sarah C Fine
- 3 Division of General Internal Medicine and Center for Vulnerable Populations at San Francisco General Hospital, University of California, San Francisco, California
| | - Margaret A Handley
- 4 Department of Epidemiology and Biostatistics and Center for Vulnerable Populations at San Francisco General Hospital, University of California, San Francisco, San Francisco General Hospital and Trauma Center, San Francisco, California
| | | | - James Kass
- 5 Youth Speaks, San Francisco, California
| | - Dean Schillinger
- 3 Division of General Internal Medicine and Center for Vulnerable Populations at San Francisco General Hospital, University of California, San Francisco, California
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Bauer KW, Marcus MD, El ghormli L, Ogden CL, Foster GD. Cardio-metabolic risk screening among adolescents: understanding the utility of body mass index, waist circumference and waist to height ratio. Pediatr Obes 2015; 10:329-37. [PMID: 25515620 PMCID: PMC4470887 DOI: 10.1111/ijpo.267] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2014] [Revised: 07/25/2014] [Accepted: 08/12/2014] [Indexed: 01/14/2023]
Abstract
BACKGROUND Few studies have assessed how well body mass index (BMI), waist circumference (WC), or waist to height ratio (WtHR) perform in identifying cardio-metabolic risk among youth. OBJECTIVE The objective of this study was to evaluate the utility of BMI and WC percentiles and WtHR to distinguish adolescents with and without cardio-metabolic risk. METHODS A cross-sectional analysis of data from 6097 adolescents aged 10-13 years who participated in the HEALTHY study was conducted. Receiver operating characteristic curves determined the discriminatory ability of BMI and WC percentiles and WtHR. RESULTS The discriminatory ability of BMI percentile was good (area under the curve [AUC] ≥ 0.80) for elevated insulin and clustering of ≥3 risk factors, with optimal cut-points of 96 and 95, respectively. BMI percentile performed poor to fair (AUC = 0.57-0.75) in identifying youth with the majority of individual risk factors examined (elevated glucose, total cholesterol, low-density lipoprotein, blood pressure, triglycerides and high-density lipoprotein). WC percentile and WtHR performed similarly to BMI percentile. CONCLUSIONS The current definition of obesity among US children performs well at identifying adolescents with elevated insulin and a clustering of ≥3 cardio-metabolic risk factors. Evidence does not support WC percentile or WtHR as superior screening tools compared with BMI percentile for identifying cardio-metabolic risk.
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Affiliation(s)
- Katherine W. Bauer
- Center for Obesity Research and Education, Temple University, Philadelphia, PA,Department of Public Health, Temple University, Philadelphia, PA
| | - Marsha D. Marcus
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Laure El ghormli
- The Biostatistics Center, George Washington University, Rockville, Maryland
| | - Cynthia L. Ogden
- National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD
| | - Gary D. Foster
- Center for Obesity Research and Education, Temple University, Philadelphia, PA
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Hollands GJ, Shemilt I, Marteau TM, Jebb SA, Lewis HB, Wei Y, Higgins JPT, Ogilvie D. Portion, package or tableware size for changing selection and consumption of food, alcohol and tobacco. Cochrane Database Syst Rev 2015; 2015:CD011045. [PMID: 26368271 PMCID: PMC4579823 DOI: 10.1002/14651858.cd011045.pub2] [Citation(s) in RCA: 144] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Overeating and harmful alcohol and tobacco use have been linked to the aetiology of various non-communicable diseases, which are among the leading global causes of morbidity and premature mortality. As people are repeatedly exposed to varying sizes and shapes of food, alcohol and tobacco products in environments such as shops, restaurants, bars and homes, this has stimulated public health policy interest in product size and shape as potential targets for intervention. OBJECTIVES 1) To assess the effects of interventions involving exposure to different sizes or sets of physical dimensions of a portion, package, individual unit or item of tableware on unregulated selection or consumption of food, alcohol or tobacco products in adults and children.2) To assess the extent to which these effects may be modified by study, intervention and participant characteristics. SEARCH METHODS We searched CENTRAL, MEDLINE, EMBASE, PsycINFO, eight other published or grey literature databases, trial registries and key websites up to November 2012, followed by citation searches and contacts with study authors. This original search identified eligible studies published up to July 2013, which are fully incorporated into the review. We conducted an updated search up to 30 January 2015 but further eligible studies are not yet fully incorporated due to their minimal potential to change the conclusions. SELECTION CRITERIA Randomised controlled trials with between-subjects (parallel-group) or within-subjects (cross-over) designs, conducted in laboratory or field settings, in adults or children. Eligible studies compared at least two groups of participants, each exposed to a different size or shape of a portion of a food (including non-alcoholic beverages), alcohol or tobacco product, its package or individual unit size, or of an item of tableware used to consume it, and included a measure of unregulated selection or consumption of food, alcohol or tobacco. DATA COLLECTION AND ANALYSIS We applied standard Cochrane methods to select eligible studies for inclusion and to collect data and assess risk of bias. We calculated study-level effect sizes as standardised mean differences (SMDs) between comparison groups, measured as quantities selected or consumed. We combined these results using random-effects meta-analysis models to estimate summary effect sizes (SMDs with 95% confidence intervals (CIs)) for each outcome for size and shape comparisons. We rated the overall quality of evidence using the GRADE system. Finally, we used meta-regression analysis to investigate statistical associations between summary effect sizes and variant study, intervention or participant characteristics. MAIN RESULTS The current version of this review includes 72 studies, published between 1978 and July 2013, assessed as being at overall unclear or high risk of bias with respect to selection and consumption outcomes. Ninety-six per cent of included studies (69/72) manipulated food products and 4% (3/72) manipulated cigarettes. No included studies manipulated alcohol products. Forty-nine per cent (35/72) manipulated portion size, 14% (10/72) package size and 21% (15/72) tableware size or shape. More studies investigated effects among adults (76% (55/72)) than children and all studies were conducted in high-income countries - predominantly in the USA (81% (58/72)). Sources of funding were reported for the majority of studies, with no evidence of funding by agencies with possible commercial interests in their results.A meta-analysis of 86 independent comparisons from 58 studies (6603 participants) found a small to moderate effect of portion, package, individual unit or tableware size on consumption of food (SMD 0.38, 95% CI 0.29 to 0.46), providing moderate quality evidence that exposure to larger sizes increased quantities of food consumed among children (SMD 0.21, 95% CI 0.10 to 0.31) and adults (SMD 0.46, 95% CI 0.40 to 0.52). The size of this effect suggests that, if sustained reductions in exposure to larger-sized food portions, packages and tableware could be achieved across the whole diet, this could reduce average daily energy consumed from food by between 144 and 228 kcal (8.5% to 13.5% from a baseline of 1689 kcal) among UK children and adults. A meta-analysis of six independent comparisons from three studies (108 participants) found low quality evidence for no difference in the effect of cigarette length on consumption (SMD 0.25, 95% CI -0.14 to 0.65).One included study (50 participants) estimated a large effect on consumption of exposure to differently shaped tableware (SMD 1.17, 95% CI 0.57 to 1.78), rated as very low quality evidence that exposure to shorter, wider bottles (versus taller, narrower bottles) increased quantities of water consumed by young adult participants.A meta-analysis of 13 independent comparisons from 10 studies (1164 participants) found a small to moderate effect of portion or tableware size on selection of food (SMD 0.42, 95% CI 0.24 to 0.59), rated as moderate quality evidence that exposure to larger sizes increased the quantities of food people selected for subsequent consumption. This effect was present among adults (SMD 0.55, 95% CI 0.35 to 0.75) but not children (SMD 0.14, 95% CI -0.06 to 0.34).In addition, a meta-analysis of three independent comparisons from three studies (232 participants) found a very large effect of exposure to differently shaped tableware on selection of non-alcoholic beverages (SMD 1.47, 95% CI 0.52 to 2.43), rated as low quality evidence that exposure to shorter, wider (versus taller, narrower) glasses or bottles increased the quantities selected for subsequent consumption among adults (SMD 2.31, 95% CI 1.79 to 2.83) and children (SMD 1.03, 95% CI 0.41 to 1.65). AUTHORS' CONCLUSIONS This review found that people consistently consume more food and drink when offered larger-sized portions, packages or tableware than when offered smaller-sized versions. This suggests that policies and practices that successfully reduce the size, availability and appeal of larger-sized portions, packages, individual units and tableware can contribute to meaningful reductions in the quantities of food (including non-alcoholic beverages) people select and consume in the immediate and short term. However, it is uncertain whether reducing portions at the smaller end of the size range can be as effective in reducing food consumption as reductions at the larger end of the range. We are unable to highlight clear implications for tobacco or alcohol policy due to identified gaps in the current evidence base.
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Affiliation(s)
- Gareth J Hollands
- University of CambridgeBehaviour and Health Research UnitForvie SiteRobinson WayCambridgeUKCB2 0SR
| | - Ian Shemilt
- University College LondonEPPI‐Centre10 Woburn SquareLondonUKWC1H 0NR
| | - Theresa M Marteau
- University of CambridgeBehaviour and Health Research UnitForvie SiteRobinson WayCambridgeUKCB2 0SR
| | - Susan A Jebb
- University of OxfordNuffield Department of Primary Care Health SciencesRadcliffe Observatory QuarterWoodstock RoadOxfordOxfordshireUKOX2 6GG
| | - Hannah B Lewis
- MRC Human Nutrition ResearchElsie Widdowson Laboratory, 120 Fulbourn RoadCambridgeUKCB1 9NL
| | - Yinghui Wei
- University of PlymouthCentre for Mathematical Sciences, School of Computing, Electronics and MathematicsPlymouthUK
| | - Julian P T Higgins
- University of BristolPopulation Health Sciences, Bristol Medical SchoolCanynge Hall39 Whatley RoadBristolUKBS8 2PS
| | - David Ogilvie
- University of CambridgeMRC Epidemiology UnitBox 285Cambridge Biomedical CampusCambridgeUKCB2 0QQ
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Pansier B, Schulz PJ. School-based diabetes interventions and their outcomes: a systematic literature review. J Public Health Res 2015; 4:467. [PMID: 25918699 PMCID: PMC4407044 DOI: 10.4081/jphr.2015.467] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2014] [Accepted: 02/18/2015] [Indexed: 02/08/2023] Open
Abstract
Type 1 diabetes is one of the most common chronic childhood diseases, while type 2 diabetes in children is increasing at alarming rates globally. Against this backdrop, the school is a critical environment for children with diabetes. They continue to face barriers to education that may lead to depression, poor academic performance, and poor quality of life. To address these challenges, diabetes interventions have been implemented in school and the goal was to systematically review these interventions and their outcomes between 2000 and 2013. Fifteen studies were included in the narrative synthesis. Education of school personnel was the main focus before 2006. Studies reported gains in knowledge and perceived confidence of school staff. Since 2006, more comprehensive interventions have been developed to promote better care coordination and create a safe school environment. These studies reported improved diabetes management and quality of life of students. Assessment tools varied and study design included randomized controlled trials, quantitative and qualitative methods. Although many of the studies reported a significant difference in the parameters measured, it was not possible to determine optimal ways to improve the health, quality of life and academic performance of children with diabetes, given the disparity in scope, assessment tools and measured outcomes. Experimental designs, longer follow-up studies, larger sample sizes, and a higher number of participating schools are critical issues to consider in future studies. Most of the research was conducted in North America and further research is needed in other parts of the world. Significance for public health Diabetes is one of the most common chronic childhood diseases; both type 1 and type 2 diabetes are increasing in children globally. Against this backdrop, the school is a critical environment for children with diabetes. This systematic literature review on school-based diabetes interventions and their outcomes demonstrates that increasing efforts are being made to improve diabetes care and create a safe school environment. Studies reported gains in knowledge and confidence of school staff, as well as improved health and quality of life of students. Given the disparity of the assessment tools used, it was not possible to determine optimal ways to improve the health, quality of life and academic performance of children with diabetes. Future evaluations should include experimental designs, longer follow-up studies, and larger sample sizes. School-based diabetes interventions and solid evaluations will contribute to improving diabetes school policies and ensuring children with diabetes have the same educational opportunities as other children.
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Affiliation(s)
- Bénédicte Pansier
- Institute of Communication and Health, Faculty of Communication Sciences, University of Lugano , Switzerland
| | - Peter J Schulz
- Institute of Communication and Health, Faculty of Communication Sciences, University of Lugano , Switzerland
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Gefter L, Rosas LG, Rodriguez E, Morioka-Douglas N. Training At-Risk Youth to Become Diabetes Self-management Coaches for Family Members. DIABETES EDUCATOR 2014; 40:786-96. [DOI: 10.1177/0145721714549676] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose The purpose of this study is to evaluate the impact of a school-based health program in which family medicine residents trained healthy at-risk adolescents to become diabetes self-management coaches for family members with diabetes. Methods A mixed methods study included 97 adolescents from 3 San Francisco Bay Area high schools serving primarily ethnic minority youth of low socioeconomic status. Physicians came to schools once a week for 8 weeks and trained 49 adolescents to become coaches. Student coaches and 48 nonparticipant students completed pre- and posttest intervention questionnaires, and 15 student coaches and 9 family members with diabetes gave in-depth interviews after participation. Linear regression was used to determine differences in knowledge and psychosocial assets on pre- and posttests between student coaches and nonparticipant students, and NVIVO was used to analyze interview transcripts. Results After controlling for initial score, sex, grade, and ethnicity, student coaches improved from pre- to posttest significantly compared to nonparticipants on knowledge, belonging, and worth scales. Student coaches reported high satisfaction with the program. Articulated program benefits included improvement in diet, increased physical activity, and improved relationship between student coach and family member. Conclusions Overall, this program can increase diabetes knowledge and psychosocial assets of at-risk youth, and it holds promise to promote positive health behaviors among at-risk youth and their families.
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Affiliation(s)
- Liana Gefter
- Center for Education and Research in Family and Community Medicine, Stanford University School of Medicine, Stanford, CA (Dr Gefter, Dr Morioka-Douglas)
- Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA (Dr Rosas)
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA (Dr Rodriguez)
| | - Lisa G. Rosas
- Center for Education and Research in Family and Community Medicine, Stanford University School of Medicine, Stanford, CA (Dr Gefter, Dr Morioka-Douglas)
- Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA (Dr Rosas)
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA (Dr Rodriguez)
| | - Eunice Rodriguez
- Center for Education and Research in Family and Community Medicine, Stanford University School of Medicine, Stanford, CA (Dr Gefter, Dr Morioka-Douglas)
- Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA (Dr Rosas)
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA (Dr Rodriguez)
| | - Nancy Morioka-Douglas
- Center for Education and Research in Family and Community Medicine, Stanford University School of Medicine, Stanford, CA (Dr Gefter, Dr Morioka-Douglas)
- Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA (Dr Rosas)
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA (Dr Rodriguez)
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Cardiometabolic risk assessments by body mass index z-score or waist-to-height ratio in a multiethnic sample of sixth-graders. J Obes 2014; 2014:421658. [PMID: 25132986 PMCID: PMC4123559 DOI: 10.1155/2014/421658] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2014] [Accepted: 05/14/2014] [Indexed: 12/27/2022] Open
Abstract
Convention defines pediatric adiposity by the body mass index z-score (BMIz) referenced to normative growth charts. Waist-to-height ratio (WHtR) does not depend on sex-and-age references. In the HEALTHY Study enrollment sample, we compared BMIz with WHtR for ability to identify adverse cardiometabolic risk. Among 5,482 sixth-grade students from 42 middle schools, we estimated explanatory variations (R2) and standardized beta coefficients of BMIz or WHtR for cardiometabolic risk factors: insulin resistance (HOMA-IR), lipids, blood pressures, and glucose. For each risk outcome variable, we prepared adjusted regression models for four subpopulations stratified by sex and high versus lower fatness. For HOMA-IR, R2 attributed to BMIz or WHtR was 19%–28% among high-fatness and 8%–13% among lower-fatness students. R2 for lipid variables was 4%–9% among high-fatness and 2%–7% among lower-fatness students. In the lower-fatness subpopulations, the standardized coefficients for total cholesterol/HDL cholesterol and triglycerides tended to be weaker for BMIz (0.13–0.20) than for WHtR (0.17–0.28). Among high-fatness students, BMIz and WHtR correlated with blood pressures for Hispanics and whites, but not black boys (systolic) or girls (systolic and diastolic). In 11-12 year olds, assessments by WHtR can provide cardiometabolic risk estimates similar to conventional BMIz without requiring reference to a normative growth chart.
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Carins JE, Rundle-Thiele SR. Eating for the better: a social marketing review (2000-2012). Public Health Nutr 2014; 17:1628-39. [PMID: 23711161 PMCID: PMC10282391 DOI: 10.1017/s1368980013001365] [Citation(s) in RCA: 164] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2012] [Revised: 02/19/2013] [Accepted: 04/04/2013] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The present study sought to identify both the ingredients for success and the potential impediments to social marketing effectiveness for healthy eating behaviour, focusing on studies conducted over the last 10 years. DESIGN A comprehensive literature review was undertaken examining seventeen databases to identify studies reporting the use of social marketing to address healthy eating. Thirty-four empirical studies were analysed to examine the effectiveness of social marketing interventions to improve healthy eating behaviour using Andreasen's (2002) social marketing benchmark criteria. Statistical analysis was undertaken to quantitatively evaluate whether effectiveness varied between study categories (subsets). SETTING Healthy eating empirical studies published from 2000 onwards. SUBJECTS Empirical studies that self-identified as social marketing. RESULTS Sixteen social marketing studies (subset 1) were identified in the review. These were systematic studies which sought to change behaviour through tailored solutions (e.g. use of marketing tools beyond communication was clearly evident) that delivered value to the target audience. For these sixteen studies, the mean number of criteria identified was five. Six studies met all six criteria. Positive change to healthy eating behaviour was found in fourteen of sixteen studies. The sixteen studies that met the definition of social marketing used significantly more of Andreasen's (2002) criteria and were more effective in achieving behavioural change than the eighteen studies in subset 2. CONCLUSIONS Social marketing is an involved process and it is important that studies identifying as social marketing adopt social marketing benchmark criteria. Social marketing when employed to its full extent offers the potential to change healthy eating.
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Affiliation(s)
- Julia E Carins
- Griffith Business School, Griffith University, Nathan, Queensland, Australia
- Population and Social Health Research Program, Griffith University, Nathan, Queensland, Australia
- Defence Science and Technology Organisation (DSTO), 74 George Street, Scottsdale, Tasmania 7260, Australia
| | - Sharyn R Rundle-Thiele
- Griffith Business School, Griffith University, Nathan, Queensland, Australia
- Population and Social Health Research Program, Griffith University, Nathan, Queensland, Australia
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22
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School factors as barriers to and facilitators of a preventive intervention for pediatric type 2 diabetes. Transl Behav Med 2014; 4:131-40. [PMID: 24904696 DOI: 10.1007/s13142-013-0226-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
School-based interventions are essential to prevent pediatric obesity and type 2 diabetes. School environmental factors influence implementation of these interventions. This article examines how school factors acted as barriers to and facilitators of the HEALTHY intervention. The HEALTHY study was a cluster-randomized trial of a multicomponent intervention implemented in 21 schools. Interview data were analyzed to identify barriers and facilitators. Barriers included teacher frustration that intervention activities detracted from tested subjects, student resistance and misbehavior, classroom management problems, communication equipment problems, lack of teacher/staff engagement, high cost and limited availability of nutritious products, inadequate facility space, and large class sizes. Facilitators included teacher/staff engagement, effective classroom management, student engagement, schools with direct control over food service, support from school leaders, and adequate facilities and equipment. Contextual barriers and facilitators must be taken into account in the design and implementation of school-based health interventions.
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Marcus MD, Foster GD, ghormli LE. Stability of relative weight category and cardiometabolic risk factors among moderately and severely obese middle school youth. Obesity (Silver Spring) 2014; 22:1118-25. [PMID: 24376009 PMCID: PMC3968217 DOI: 10.1002/oby.20688] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2013] [Accepted: 12/17/2013] [Indexed: 01/15/2023]
Abstract
OBJECTIVE To examine the stability of severe pediatric obesity relative to moderate obesity and associated changes in cardiometabolic risk from the beginning of 6th to the end of 8th grade. METHODS Participants in HEALTHY, a multi-site, cluster randomized school-based study designed to mitigate risk for type 2 diabetes, completed standardized assessments of height, weight, glucose, insulin, lipids, and blood pressure at the beginning of 6th grade and the end of 8th grade. Youth were classified as moderately obese (100-119% of the 95th percentile of BMI for age and gender) or severely obese (≥120% of the 95th percentile of BMI for age and gender). Generalized linear mixed models (GLMM) that controlled for relevant covariables were used to examine the relation between baseline demographic and cardiometabolic risk factors and BMI status, as well as changes in relative weight category and risk factors during middle school. RESULTS Severe obesity was more likely to endure over the course of middle school than was moderate obesity, and was associated with significantly higher levels of cardiometabolic risk. CONCLUSIONS Research with a specific focus on understanding, preventing, and treating severe obesity in children is warranted.
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Affiliation(s)
- Marsha D. Marcus
- Department of Psychiatry, University of Pittsburgh School of Medicine
| | - Gary D. Foster
- Center for Obesity Research and Education, Temple University
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Rogers EA, Fine S, Handley MA, Davis H, Kass J, Schillinger D. Development and early implementation of the bigger picture, a youth-targeted public health literacy campaign to prevent type 2 diabetes. JOURNAL OF HEALTH COMMUNICATION 2014; 19 Suppl 2:144-160. [PMID: 25315590 PMCID: PMC4217646 DOI: 10.1080/10810730.2014.940476] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
The prevalence of type 2 diabetes is rapidly rising, especially among minority and low-income youth. There is an unmet need to engage youth in identifying solutions to reverse this trajectory. Social marketing campaigns and entertainment education are effective forms of health communication for engaging populations in health-promoting behaviors. Critical to curbing the epidemic is moving the diabetes conversation away from individual behavior alone and toward a socioecologic perspective using a public health literacy framework. The authors developed an academic-community partnership to develop, implement, and evaluate a type 2 diabetes prevention campaign targeting minority and low-income youth. The Bigger Picture campaign uses hard-hitting, youth-generated spoken-word messages around key environmental and social drivers of the type 2 diabetes epidemic. Campaign goals included promoting health capacity and civic engagement. This article focuses on the development and implementation of the campaign, including (a) rationale and theoretical underpinnings, (b) steps in campaign creation, (c) testing the campaign messaging, and (d) campaign dissemination and evaluation planning. A youth-created health communication campaign using a public health literacy framework with targeted, relevant, and compelling messaging appears to be a promising vehicle for reaching at-risk youth to increase knowledge of and attitudes about preventing type 2 diabetes, change social norms, and motivate participation in health-promoting initiatives.
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Affiliation(s)
- Elizabeth A Rogers
- a Applied Clinical Research Program , University of Minnesota School of Medicine , Minneapolis , Minnesota , USA
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Volpe SL, Hall WJ, Steckler A, Schneider M, Thompson D, Mobley C, Pham T, El ghormli L. Process evaluation results from the HEALTHY nutrition intervention to modify the total school food environment. HEALTH EDUCATION RESEARCH 2013; 28:970-978. [PMID: 24107856 PMCID: PMC3888190 DOI: 10.1093/her/cyt096] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2013] [Accepted: 09/10/2013] [Indexed: 06/02/2023]
Abstract
The process evaluation of HEALTHY, a large multi-center trial to decrease type 2 diabetes mellitus in middle school children, monitored the implementation of the intervention to ascertain the extent that components were delivered and received as intended. The purpose of this article is to report the process evaluation findings concerning the extent to which the HEALTHY nutrition intervention was implemented during the HEALTHY trial. Overall, the observed fidelity of implementing nutrition strategies improved from baseline to the end of the study. By the last semester, all but two nutrition process evaluation goals were met. The most challenging goal to implement was serving high fiber foods, including grain-based foods and legumes. The easiest goals to implement were lowering the fat content of foods offered and offering healthier beverages. The most challenging barriers experienced by research dietitians and food service staff were costs, availability of foods and student acceptance. Forming strong relationships between the research dietitians and food service staff was identified as a key strategy to meet HEALTHY nutrition goals.
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Affiliation(s)
- S. L. Volpe
- Department of Nutrition Sciences, College of Nursing and Health Professions, Drexel University, PA 19102, School of Nursing, Health Behavior Department, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, Department of Planning, Policy and Design, School of Social Ecology, University of California at Irvine, Irvine, CA 92697, USDA/ARS Children’s Nutrition Research Center, Baylor College of Medicine, Houston, TX 77030, Department of Biomedical Sciences, School of Dental Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154 and Biostatistics Center, The George Washington University, Rockville, MD 20852, USA
| | - W. J. Hall
- Department of Nutrition Sciences, College of Nursing and Health Professions, Drexel University, PA 19102, School of Nursing, Health Behavior Department, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, Department of Planning, Policy and Design, School of Social Ecology, University of California at Irvine, Irvine, CA 92697, USDA/ARS Children’s Nutrition Research Center, Baylor College of Medicine, Houston, TX 77030, Department of Biomedical Sciences, School of Dental Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154 and Biostatistics Center, The George Washington University, Rockville, MD 20852, USA
| | - A. Steckler
- Department of Nutrition Sciences, College of Nursing and Health Professions, Drexel University, PA 19102, School of Nursing, Health Behavior Department, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, Department of Planning, Policy and Design, School of Social Ecology, University of California at Irvine, Irvine, CA 92697, USDA/ARS Children’s Nutrition Research Center, Baylor College of Medicine, Houston, TX 77030, Department of Biomedical Sciences, School of Dental Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154 and Biostatistics Center, The George Washington University, Rockville, MD 20852, USA
| | - M. Schneider
- Department of Nutrition Sciences, College of Nursing and Health Professions, Drexel University, PA 19102, School of Nursing, Health Behavior Department, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, Department of Planning, Policy and Design, School of Social Ecology, University of California at Irvine, Irvine, CA 92697, USDA/ARS Children’s Nutrition Research Center, Baylor College of Medicine, Houston, TX 77030, Department of Biomedical Sciences, School of Dental Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154 and Biostatistics Center, The George Washington University, Rockville, MD 20852, USA
| | - D. Thompson
- Department of Nutrition Sciences, College of Nursing and Health Professions, Drexel University, PA 19102, School of Nursing, Health Behavior Department, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, Department of Planning, Policy and Design, School of Social Ecology, University of California at Irvine, Irvine, CA 92697, USDA/ARS Children’s Nutrition Research Center, Baylor College of Medicine, Houston, TX 77030, Department of Biomedical Sciences, School of Dental Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154 and Biostatistics Center, The George Washington University, Rockville, MD 20852, USA
| | - C. Mobley
- Department of Nutrition Sciences, College of Nursing and Health Professions, Drexel University, PA 19102, School of Nursing, Health Behavior Department, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, Department of Planning, Policy and Design, School of Social Ecology, University of California at Irvine, Irvine, CA 92697, USDA/ARS Children’s Nutrition Research Center, Baylor College of Medicine, Houston, TX 77030, Department of Biomedical Sciences, School of Dental Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154 and Biostatistics Center, The George Washington University, Rockville, MD 20852, USA
| | - T. Pham
- Department of Nutrition Sciences, College of Nursing and Health Professions, Drexel University, PA 19102, School of Nursing, Health Behavior Department, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, Department of Planning, Policy and Design, School of Social Ecology, University of California at Irvine, Irvine, CA 92697, USDA/ARS Children’s Nutrition Research Center, Baylor College of Medicine, Houston, TX 77030, Department of Biomedical Sciences, School of Dental Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154 and Biostatistics Center, The George Washington University, Rockville, MD 20852, USA
| | - L. El ghormli
- Department of Nutrition Sciences, College of Nursing and Health Professions, Drexel University, PA 19102, School of Nursing, Health Behavior Department, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, Department of Planning, Policy and Design, School of Social Ecology, University of California at Irvine, Irvine, CA 92697, USDA/ARS Children’s Nutrition Research Center, Baylor College of Medicine, Houston, TX 77030, Department of Biomedical Sciences, School of Dental Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154 and Biostatistics Center, The George Washington University, Rockville, MD 20852, USA
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Hernandez AE, Marcus MD, Hirst K, Faith MS, Goldberg L, Treviño RP. Impact of implementation and conduct of the HEALTHY primary prevention trial on student performance. Am J Health Promot 2013; 29:55-8. [PMID: 24200256 DOI: 10.4278/ajhp.130131-arb-53] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PURPOSE To determine whether a school-wide intervention program to reduce risk factors for type 2 diabetes (T2D) affected student achievement, rates of disciplinary actions, and attendance rates. DESIGN The HEALTHY primary prevention trial was designed to evaluate a comprehensive school-based intervention to reduce factors for T2D, especially overweight and obesity. Students were followed up from beginning of sixth grade (Fall 2006) through end of eighth grade (Spring 2009). SETTING Forty-two middle schools at seven U.S. sites. SUBJECTS Schools were randomized in equal numbers at each site to intervention (21 schools, 2307 students) or control (21 schools, 2296 students). Intervention . An integrated school-wide program that focused on (1) foods and beverages, (2) physical education, (3) classroom-based behavior change and education, and (4) social marketing communication and promotional campaigns. MEASURES Aggregate (grade- and school-wide) test performance (passing rate), attendance, and referrals for disciplinary actions. ANALYSIS Descriptive statistics and tests of intervention versus control using mixed linear models methods to adjust for the clustering of students within schools. RESULTS There were no differences between intervention and control schools in test performance for mathematics (p = .7835) or reading (p = .6387), attendance (p = .5819), or referrals for disciplinary action (p = .8671). CONCLUSION The comprehensive HEALTHY intervention and associated research procedures did not negatively impact student achievement test scores, attendance, or referrals for disciplinary action.
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Rosenbaum M, Fennoy I, Accacha S, Altshuler L, Carey DE, Holleran S, Rapaport R, Shelov SP, Speiser PW, Ten S, Bhangoo A, Boucher-Berry C, Espinal Y, Gupta R, Hassoun AA, Iazetti L, Jacques FJ, Jean AM, Klein ML, Levine R, Lowell B, Michel L, Rosenfeld W. Racial/ethnic differences in clinical and biochemical type 2 diabetes mellitus risk factors in children. Obesity (Silver Spring) 2013; 21:2081-90. [PMID: 23596082 PMCID: PMC3766484 DOI: 10.1002/oby.20483] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2012] [Accepted: 03/24/2013] [Indexed: 02/04/2023]
Abstract
OBJECTIVE To examine whether periadolescent children demonstrate the significant racial/ethnic differences in body fatness relative to BMI and in the prevalence and relationship of body composition to risk factors for type 2 diabetes (T2DM) as in adults. DESIGN AND METHODS Family history of obesity and T2DM, anthropometry, insulin sensitivity and secretory capacity, lipids, and cytokines (IL-6, CRP, TNF-α, and adiponectin) were examined in a cohort of 994 middle school students (47% male, 53%, female; 12% African American, 14% East Asian, 13% South Asian, 9% Caucasian, 44% Hispanic, and 8% other). RESULTS Fractional body fat content was significantly greater at any BMI among South Asians. There were racial/ethnic specific differences in lipid profiles, insulin secretory capacity, insulin sensitivity, and inflammatory markers corrected for body fatness that are similar to those seen in adults. Family history of T2DM was associated with lower insulin secretory capacity while family history of obesity was more associated with insulin resistance. CONCLUSIONS Children show some of the same racial/ethnic differences in risk factors for adiposity-related comorbidities as adults. BMI and waist circumference cutoffs to identify children at-risk for adiposity-related comorbidities should be adjusted by racial/ethnic group as well as other variables such as birthweight and family history.
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Affiliation(s)
- Michael Rosenbaum
- Pediatrics, New York Presbyterian Hospital/Columbia University Medical Center, New York, NY
| | - Ilene Fennoy
- Pediatrics, New York Presbyterian Hospital/Columbia University Medical Center, New York, NY
| | - Siham Accacha
- Pediatrics, Winthrop University Hospital, Mineola, NY
| | - Lisa Altshuler
- Pediatrics, Infant’s & Children’s Hospital of Brooklyn at Maimonides, Brooklyn, NY
| | - Dennis E. Carey
- Pediatrics, Cohen Children’s Medical Center, New Hyde Park, NY
| | - Steven Holleran
- Pediatrics, New York Presbyterian Hospital/Columbia University Medical Center, New York, NY
| | | | - Steven P. Shelov
- Pediatrics, Infant’s & Children’s Hospital of Brooklyn at Maimonides, Brooklyn, NY
| | | | - S. Ten
- Pediatrics, Infant’s & Children’s Hospital of Brooklyn at Maimonides, Brooklyn, NY
| | - Amrit Bhangoo
- Pediatrics, Infant’s & Children’s Hospital of Brooklyn at Maimonides, Brooklyn, NY
| | | | - Yomery Espinal
- Pediatrics, New York Presbyterian Hospital/Columbia University Medical Center, New York, NY
| | - Rishi Gupta
- Pediatrics, Winthrop University Hospital, Mineola, NY
| | - Abeer A. Hassoun
- Pediatrics, New York Presbyterian Hospital/Columbia University Medical Center, New York, NY
| | | | | | - Amy M. Jean
- Pediatrics, New York Presbyterian Hospital/Columbia University Medical Center, New York, NY
| | | | - Robert Levine
- Pediatrics, New York Presbyterian Hospital/Columbia University Medical Center, New York, NY
| | - Barbara Lowell
- Pediatrics, Infant’s & Children’s Hospital of Brooklyn at Maimonides, Brooklyn, NY
| | - Lesley Michel
- Pediatrics, Winthrop University Hospital, Mineola, NY
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Majumdar D, Koch PA, Lee H, Contento IR, Islas-Ramos ADL, Fu D. "Creature-101": A Serious Game to Promote Energy Balance-Related Behaviors Among Middle School Adolescents. Games Health J 2013; 2:280-290. [PMID: 24761326 DOI: 10.1089/g4h.2013.0045] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Considering adolescents' heavy use of media, serious videogames may provide an engaging and innovative way to achieve positive impact on adolescents' diet and physical activity. The objective of this study was to evaluate the efficacy of playing a serious game, "Creature-101" (developed by Teachers College, Columbia University [New York, NY] and Stottler Henke Inc. [San Mateo, CA]), at promoting energy balance-related behaviors (EBRBs) such as increasing fruits and vegetables intake, water intake, and physical activity and decreasing processed snacks intake, sweetened beverages intake, and recreational screen time. SUBJECTS AND METHODS This pre-post intervention-control study (n=590) was conducted in New York City low-income public middle schools. The students (11-13 years of age, 51.6 percent male) played "Creature-101" online in science/health education classes (seven sessions, 30 minutes each session for 1 month). "Creature-101" used behavioral theories as the framework for "creature care" in a world "Tween." Students were provided with scientific evidence that promoted energy balance through minigames, educational videos, and slideshows and were motivated with interactive dialogues with game characters. Students also assessed their own behaviors, created their own "real life" food and activity goals, and reported their progress. A self-reported, validated, online instrument that measured frequency and amount of targeted behaviors was administered at baseline and post-intervention. RESULTS Analysis of covariance compared post-test means between groups with pretest scores as covariates. Intervention students reported significant decreases in frequency and amount of consumption of sweetened beverages and processed snacks compared with the controls. No changes were observed for the other behaviors. CONCLUSIONS "Creature-101" was effective at reducing consumption of sweetened beverages and processed snacks, which are related to obesity risks, indicating that the game shows promise at promoting EBRBs.
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Affiliation(s)
- Dalia Majumdar
- Department of Health and Behavior Studies, Teachers College, Columbia University , New York, New York
| | - Pamela A Koch
- Department of Health and Behavior Studies, Teachers College, Columbia University , New York, New York
| | - Heewon Lee
- Department of Health and Behavior Studies, Teachers College, Columbia University , New York, New York
| | - Isobel R Contento
- Department of Health and Behavior Studies, Teachers College, Columbia University , New York, New York
| | | | - Daniel Fu
- Stottler Henke Associates, Inc. , San Mateo, California
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Riesch SK, Ngui EM, Ehlert C, Miller MK, Cronk CA, Leuthner S, Strehlow M, Hewitt JB, Durkin MS. Community outreach and engagement strategies from the Wisconsin Study Center of the National Children's Study. Public Health Nurs 2013; 30:254-65. [PMID: 23586770 DOI: 10.1111/phn.12018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
The purpose of this methods article was to describe and evaluate outreach and engagement strategies designed to initially build county-wide awareness and support for the National Children's Study (NCS or the study) and subsequently to target the segment communities where recruitment for the study occurred. Selected principles from community outreach, social marketing, and health care system and personal referral formed the foundation for the strategies. The strategies included a celebration event, community advisory board, community needs assessment, building relationships with health care providers and systems, eliciting a network of study supporters, newsletters, appearances at local young family-oriented events (health fairs, parades), presentations to local community leaders, community forums, "branding" with assistance from a women-owned local marketing firm, and mailings including an oversized, second-touch postcard. Six months after study launch, approximately 4,600 study-eligible women were asked in a door-to-door survey if and how they became aware of the study. On average, 40% of eligible women reported being aware of the study. The most frequently cited strategy to cultivate their awareness was study-specific mailings. Awareness of the NCS increased by 7.5% among those receiving a second-touch postcard relative to controls (95% CIs [4.9, 10.7] z = 5.347, p < 0.0000, d = 0.16). Community outreach and engagement strategies, in particular the oversized postcard as a second-touch effort, may be used effectively by researchers for participant recruitment and by public health nurses for delivery of important population-focused messages.
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Affiliation(s)
- Susan K Riesch
- School of Nursing, University of Wisconsin-Madison, Madison, Wisconsin 53792, USA.
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Schneider M, DeBar L, Calingo A, Hall W, Hindes K, Sleigh A, Thompson D, Volpe SL, Zeveloff A, Pham T, Steckler A. The effect of a communications campaign on middle school students' nutrition and physical activity: results of the HEALTHY study. JOURNAL OF HEALTH COMMUNICATION 2013; 18:649-667. [PMID: 23409792 PMCID: PMC3669645 DOI: 10.1080/10810730.2012.743627] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
The HEALTHY Study was a 3-year school-based intervention designed to change the behaviors of middle school students to reduce their risk for developing type 2 diabetes mellitus. This report examines the relation between exposure to communications campaign materials and behavior change among students in the HEALTHY intervention schools. Using data from campaign tracking logs and student interviews, the authors examined communications campaign implementation and exposure to the communications campaign as well as health behavior change. Campaign tracking documents revealed variability across schools in the quantity of communications materials disseminated. Student interviews confirmed that there was variability in the proportion of students who reported receiving information from the communication campaign elements. Correlations and regression analysis controlling for semester examined the association between campaign exposure and behavior change across schools. There was a significant association between the proportion of students exposed to the campaign and the proportion of students who made changes in health behavior commensurate with study goals. The results suggest that, in the context of a multifaceted school-based health promotion intervention, schools that achieve a higher rate of exposure to communication campaign materials among the students may stimulate greater health behavior change.
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Buse JB, Kaufman FR, Linder B, Hirst K, El Ghormli L, Willi S. Diabetes screening with hemoglobin A(1c) versus fasting plasma glucose in a multiethnic middle-school cohort. Diabetes Care 2013. [PMID: 23193207 PMCID: PMC3554290 DOI: 10.2337/dc12-0295] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To characterize middle-school students from the HEALTHY study with glycemic abnormalities, specifically high-risk hemoglobin A(1c) (A1C) (hrA1C; A1C = 5.7-6.4%) and impaired fasting glucose (IFG; fasting plasma glucose [FPG] = 100-125 mg/dL). RESEARCH DESIGN AND METHODS History was collected by self-report, physical measurement was collected by trained study staff, and fasting blood was drawn by trained phlebotomists and analyzed centrally. RESULTS At baseline, among 3,980 sixth graders, 128 (3.2%) had hrA1C and 635 (16.0%) had IFG. Compared with A1C <5.7%, hrA1C was associated with non-Hispanic black race/ethnicity, family history of diabetes, and higher measurements of BMI, waist circumference, and fasting insulin. Compared with FPG <100 mg/dL, IFG was associated with Hispanic ethnicity; increased BMI, waist circumference, and fasting insulin; higher frequency of high blood pressure; and higher mean triglycerides. Two years later, children with hrA1C persisted as hrA1C in 59.4%, and one child (0.8%) developed A1C ≥6.5%; children with IFG persisted with IFG in 46.9%, and seven children (1.1%) developed FPG ≥126 mg/dL. Those with hrA1C compared with IFG had a higher BMI in sixth grade, which persisted to eighth grade. CONCLUSIONS In the HEALTHY study cohort, hrA1C and IFG define different groups of youth with differentially increased diabetes risk markers. IFG is approximately fivefold more common, but hrA1C is more persistent over time. Optimal screening strategies for diabetes in youth remain unresolved.
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Affiliation(s)
- John B Buse
- University of North Carolina School of Medicine, Chapel Hill, NC, USA
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Marcus MD, Hirst K, Kaufman F, Foster GD, Baranowski T. Lessons learned from the HEALTHY primary prevention trial of risk factors for type 2 diabetes in middle school youth. Curr Diab Rep 2013; 13:63-71. [PMID: 23065367 PMCID: PMC3544993 DOI: 10.1007/s11892-012-0333-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The HEALTHY trial was designed to take a primary prevention approach to risk factors for type 2 diabetes in youth, primarily obesity. The study involved over 6,000 students at 42 middle schools across the U.S. Half received an integrated intervention program of components addressing the school food environment, physical education, lifestyle behaviors, and promotional messaging. The intervention was designed to be more comprehensive than previous efforts, and the research was amply funded. Although the primary objective of reducing the percentage of overweight and obesity in schools that received the intervention program, as compared with control schools, was not obtained, key secondary outcomes indicated an intervention effect. In retrospect, senior investigators involved in the study's design, conduct, and analysis discuss weaknesses and strengths and offer recommendations for future research efforts that address prevention of childhood obesity from a public health perspective.
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Affiliation(s)
- Marsha D. Marcus
- University of Pittsburgh School of Medicine, 3811 O’Hara Street, Pittsburgh PA 15213, (o) 412-246-6371, (f) 412-246-6370,
| | - Kathryn Hirst
- George Washington University Biostatistics Center, 6110 Executive Boulevard, Suite 750, Rockville MD 02852, (o) 301-881-9260, (f) 301-881-3767,
| | - Francine Kaufman
- Children’s Hospital Los Angeles, 4650 Sunset Boulevard, MS 61, Los Angeles CA 90027, (o) 323-361-5489, (f) 323-361-1350,
| | - Gary D. Foster
- Temple University Center for Obesity Research and Education, 3223 North Broad Street, Philadelphia PA 19140, (o) 215-707-8632, (f) 215-707-6475,
| | - Tom Baranowski
- Baylor College of Medicine Children's Nutrition Research Center, 1100 Bates Street, Houston TX 77030, (o) 713-798-6762, (f) 713-798-7098,
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Vander Veur SS, Sherman SB, Lent MR, McCoy TA, Wojtanowski AC, Sandoval BA, Karpyn A, Foster GD. Corner Store and Commuting Patterns of Low-Income, Urban Elementary School Students. ACTA ACUST UNITED AC 2013. [DOI: 10.4236/cus.2013.14018] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Venditti EM, Giles C, Firrell LS, Zeveloff AD, Hirst K, Marcus MD. Interactive learning activities for the middle school classroom to promote healthy energy balance and decrease diabetes risk in the HEALTHY primary prevention trial. Health Promot Pract 2012; 15:55-62. [PMID: 23271717 DOI: 10.1177/1524839912469377] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The HEALTHY trial evaluated the effectiveness of a multicomponent intervention program to reduce risk for type 2 diabetes in middle school students. The comprehensive intervention addressed nutrition, physical activity, and behavior in the context of a social marketing-based communications campaign to promote healthy energy balance. One element was a classroom-based program called FLASH (Fun Learning Activities for Student Health). Five FLASH modules were delivered, one per semester. Process evaluation data were collected from teachers at 21 schools and study staff at seven national sites via survey, interview, and in-class observation. Data from the first four modules were evaluated and showed that FLASH was delivered with high fidelity. Sessions that required peer interaction were rated as the most effective in engaging students and promoting knowledge. Study-provided material resources and on-site support were identified as key facilitators. Student misbehavior was viewed as the greatest barrier. Although the high level of support provided by the study is not likely to be replicated in school systems, those developing wellness policies, health curricula, and teacher training programs may benefit from using the evidence-supported, publicly available HEALTHY materials in their efforts to reduce diabetes risk factors in middle school youth.
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Affiliation(s)
- Elizabeth M Venditti
- 1Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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Jago R, Sebire SJ, Cooper AR, Haase AM, Powell J, Davis L, McNeill J, Montgomery AA. Bristol girls dance project feasibility trial: outcome and process evaluation results. Int J Behav Nutr Phys Act 2012; 9:83. [PMID: 22747608 PMCID: PMC3411449 DOI: 10.1186/1479-5868-9-83] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2011] [Accepted: 07/02/2012] [Indexed: 12/04/2022] Open
Abstract
Background Many adolescent girls do not engage in sufficient physical activity (PA). This study examined the feasibility of conducting a cluster randomized controlled trial (RCT) to evaluate an after-school dance program to increase PA among 11–12 year old girls in Bristol, UK. Methods Three-arm, cluster RCT. Three secondary schools were assigned to intervention arm. Intervention participants received a 9-week dance program with 2, 90-minute dance classes per week. Participants at 2 control schools received incentives for data collection. Participants at 2 additional control schools received incentives and a delayed dance workshop. Accelerometer data were collected at baseline (time 0), during the last week of the dance program (time 1) and 20 weeks after the start of the study (time 2). Weekly attendance, enjoyment and perceived exertion were assessed in intervention participants. Post-study qualitative work was conducted with intervention participants and personnel. Results 40.1% of girls provided consent to be in the study. The mean number of girls attending at least one dance session per week ranged from 15.4 to 25.9. There was greater number of participants for whom accelerometer data were collected in control arms. The mean attendance was 13.3 sessions (maximum = 18). Perceived exertion ratings indicated that the girls did not find the sessions challenging. The dance teachers reported that the program content would benefit from revisions including less creative task time, a broader range of dance genres and improved behavioral management policies. At time 2, the 95% confidence intervals suggest between 5 and 12 minutes more weekday MVPA in the intervention group compared with the control incentives only group, and between 6 minutes fewer and 1 minute more compared with the control incentives plus workshop group. Between 14 and 24 schools would be required to detect a difference of 10 minutes in mean weekday MVPA between intervention and control groups. Conclusions It is possible to recruit 11–12 year old girls to participate in an after-school dance study. An after-school dance intervention has potential to positively affect the PA levels of 11–12 year old girls but an adequately powered RCT is required to test this intervention approach.
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Affiliation(s)
- Russell Jago
- Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK.
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Mitchell JA, Pate RR, Blair SN. Screen-based sedentary behavior and cardiorespiratory fitness from age 11 to 13. Med Sci Sports Exerc 2012; 44:1302-9. [PMID: 22217567 PMCID: PMC3359423 DOI: 10.1249/mss.0b013e318247cd73] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
PURPOSE The study's purpose was to determine whether time spent in screen-based sedentary behavior is associated with change in cardiorespiratory fitness (CRF) levels in children from age 11 to 13, adjusting for vigorous physical activity (VPA). METHODS Participants were children (n = 2097) enrolled in the control arm of the HEALTHY Study, who performed 20-m shuttle run tests at ages 11 and 13. Self-reported screen time was used as a measure of sedentary behavior. Longitudinal quantile regression was used to model the influence of predictors on changes at the 10th, 25th, 50th, 75th, and 90th shuttle run lap percentiles. Screen time (h·d(-1)) was the main predictor, and adjustment was also made for VPA, body mass index, and household education. RESULTS In boys, more screen time was associated with fewer shuttle run laps completed from age 11 to 13 at the 25th, 50th, and 75th shuttle run lap percentiles; the strongest association was at the 75th shuttle run percentile (-0.57, 95% confidence interval = -0.93 to -0.21). In girls, more screen time was associated with fewer shuttle run laps completed from age 11 to 13 at the 50th, 75th, and 90th shuttle run lap percentiles; the strongest association was at the 90th shuttle run percentile (-0.65, -1.01 to -0.30). Borderline negative associations were found between screen time and shuttle run laps at the 10th shuttle run percentile in boys and girls (-0.28, -0.57 to 0.01, and -0.17, -0.41 to 0.06, respectively). CONCLUSIONS More screen time was associated with lower CRF from age 11 to 13, independent of VPA. However, the association was weakest at the lower tail of the CRF distribution.
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Affiliation(s)
- Jonathan A Mitchell
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
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Coleman KJ, Shordon M, Caparosa SL, Pomichowski ME, Dzewaltowski DA. The healthy options for nutrition environments in schools (Healthy ONES) group randomized trial: using implementation models to change nutrition policy and environments in low income schools. Int J Behav Nutr Phys Act 2012; 9:80. [PMID: 22734945 PMCID: PMC3464788 DOI: 10.1186/1479-5868-9-80] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2011] [Accepted: 06/27/2012] [Indexed: 11/27/2022] Open
Abstract
Background The Healthy Options for Nutrition Environments in Schools (Healthy ONES) study was an evidence-based public health (EBPH) randomized group trial that adapted the Institute for Healthcare Improvement’s (IHI) rapid improvement process model to implement school nutrition policy and environmental change. Methods A low-income school district volunteered for participation in the study. All schools in the district agreed to participate (elementary = 6, middle school = 2) and were randomly assigned within school type to intervention (n = 4) and control (n =4) conditions following a baseline environmental audit year. Intervention goals were to 1) eliminate unhealthy foods and beverages on campus, 2) develop nutrition services as the main source on campus for healthful eating (HE), and 3) promote school staff modeling of HE. Schools were followed across a baseline year and two intervention years. Longitudinal assessment of height and weight was conducted with second, third, and sixth grade children. Behavioral observation of the nutrition environment was used to index the amount of outside foods and beverages on campuses. Observations were made monthly in each targeted school environment and findings were presented as items per child per week. Results From an eligible 827 second, third, and sixth grade students, baseline height and weight were collected for 444 second and third grade and 135 sixth grade students (51% reach). Data were available for 73% of these enrolled students at the end of three years. Intervention school outside food and beverage items per child per week decreased over time and control school outside food and beverage items increased over time. The effects were especially pronounced for unhealthy foods and beverage items. Changes in rates of obesity for intervention school (28% baseline, 27% year 1, 30% year 2) were similar to those seen for control school (22% baseline, 22% year 1, 25% year 2) children. Conclusions Healthy ONES adaptation of IHI’s rapid improvement process provided a promising model for implementing nutrition policy and environmental changes that can be used in a variety of school settings. This approach may be especially effective in assisting schools to implement the current federally-mandated wellness policies.
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Affiliation(s)
- Karen J Coleman
- Department of Research and Evaluation, Southern California Permanente Medical Group, 100 S Los Robles, 2nd Floor, Pasadena, CA 91101, USA.
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Willi SM, Hirst K, Jago R, Buse J, Kaufman F, El ghormli L, Bassin S, Elliot D, Hale DE. Cardiovascular risk factors in multi-ethnic middle school students: the HEALTHY primary prevention trial. Pediatr Obes 2012; 7:230-9. [PMID: 22461375 PMCID: PMC3348358 DOI: 10.1111/j.2047-6310.2011.00042.x] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2011] [Revised: 10/24/2011] [Accepted: 12/09/2011] [Indexed: 01/01/2023]
Abstract
OBJECTIVE The objective of this study was to examine the effects of an integrated, multi-component, school-based intervention programme on cardiovascular disease (CVD) risk factors among a multi-ethnic cohort of middle school students. METHODS HEALTHY was a cluster randomized, controlled, primary prevention trial. Middle school was the unit of randomization and intervention. Half of the schools were assigned to an intervention programme consisting of changes in the total school food environment and physical education classes, enhanced by educational outreach and behaviour change activities and promoted by a social marketing campaign consisting of reinforcing messages and images. Outcome data reported (anthropometrics, blood pressure and fasting lipid levels) were collected on a cohort of students enrolled at the start of 6th grade (∼11-12 years old) and followed to end of 8th grade (∼13-14 years old). RESULTS Forty-two middle schools were enrolled at seven field centres; 4363 students provided both informed consent and CVD data at baseline and end of study. The sample was 52.7% female, 54.5% Hispanic, 17.6% non-Hispanic Black, 19.4% non-Hispanic White and 8.5% other racial/ethnic combinations, and 49.6% were categorized as overweight or obese (body mass index ≥ 85th percentile) at baseline. A significant intervention effect was detected in the prevalence of hypertension in non-Hispanic Black and White males. The intervention produced no significant changes in lipid levels. CONCLUSIONS The prevalence of some CVD risk factors is high in minority middle school youth, particularly males. A multi-component, school-based programme achieved only modest reductions in these risk factors; however, promising findings occurred in non-Hispanic Black and White males with hypertension.
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Affiliation(s)
- S. M. Willi
- Deparment of Endocrinology/Diabetes; Children's Hospital of Philadelphia; Philadelphia; PA; USA
| | - K. Hirst
- Biostatistics Center; George Washington University; Rockville; MD; USA
| | - R. Jago
- Deparment of Exercise; Nutrition and Health; University of Bristol; Bristol; UK
| | - J. Buse
- School of Medicine; University of North Carolina; Chapel Hill; NC; USA
| | - F. Kaufman
- University of Southern California; Children's Hospital Los Angeles; Los Angeles; CA; USA
| | - L. El ghormli
- Biostatistics Center; George Washington University; Rockville; MD; USA
| | - S. Bassin
- University of California; Irvine; CA; USA
| | - D. Elliot
- Health Promotion and Sports Medicine; Oregon Health & Science University; Portland; OR; USA
| | - D. E. Hale
- Deparment of Pediatrics; University of Texas Health Science Center; San Antonio; TX; USA
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Hall WJ, Zeveloff A, Steckler A, Schneider M, Thompson D, Pham T, Volpe SL, Hindes K, Sleigh A, McMurray RG. Process evaluation results from the HEALTHY physical education intervention. HEALTH EDUCATION RESEARCH 2012; 27:307-18. [PMID: 22156231 PMCID: PMC3303206 DOI: 10.1093/her/cyr107] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2011] [Accepted: 11/07/2011] [Indexed: 05/31/2023]
Abstract
Process evaluation is an assessment of the implementation of an intervention. A process evaluation component was embedded in the HEALTHY study, a primary prevention trial for Type 2 diabetes implemented over 3 years in 21 middle schools across the United States. The HEALTHY physical education (PE) intervention aimed at maximizing student engagement in moderate-to-vigorous physical activity through delivery of structured lesson plans by PE teachers. Process evaluation data collected via class observations and interventionist interviews assessed fidelity, dose delivered, implementor participation, dose received and barriers. Process evaluation results indicate a high level of fidelity in implementing HEALTHY PE activities and offering 225 min of PE every 10 school days. Concerning dose delivered, students were active for approximately 33 min of class, representing an average of 61% of the class time. Results also indicate that PE teachers were generally engaged in implementing the HEALTHY PE curriculum. Data on dose received showed that students were highly engaged with the PE intervention; however, student misbehavior was the most common barrier observed during classes. Other barriers included teacher disengagement, large classes, limited gym space and poor classroom management. Findings suggest that the PE intervention was generally implemented and received as intended despite several barriers.
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Affiliation(s)
- William J Hall
- School of Nursing.chool of Social Work, University of North Carolina, Chapel Hill, NC 27599, USA.
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Marcus MD, Foster GD, El ghormli L, Baranowski T, Goldberg L, Jago R, Linder B, Steckler A, Treviño R. Shifts in BMI category and associated cardiometabolic risk: prospective results from HEALTHY study. Pediatrics 2012; 129:e983-91. [PMID: 22430457 PMCID: PMC3313640 DOI: 10.1542/peds.2011-2696] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVES To evaluate shifts across BMI categories and associated changes in cardiometabolic risk factors over 2.5 years in an ethnically diverse middle school sample. METHODS As part of HEALTHY, a multisite school-based study designed to mitigate risk for type 2 diabetes, 3993 children participated in health screenings at the start of sixth and end of eighth grades. Assessments included anthropometric measures, blood pressure, and glucose, insulin, and lipids. Students were classified as underweight, healthy weight, overweight, obese, or severely obese. Mixed models controlling for school intervention status and covariates were used to evaluate shifts in BMI category over time and the relation between these shifts and changes in risk factors. RESULTS At baseline, students averaged 11.3 (±0.6) years; 47.6% were boys, 59.6% were Hispanic, and 49.8% were overweight or obese. Shifts in BMI category over time were common. For example, 35.7% of youth who were overweight moved to the healthy weight range, but 13% in the healthy weight range became overweight. BMI shifts were not associated with school intervention condition, household education, or youth gender, race/ethnicity, pubertal status, or changes in height. Increases in BMI category were associated with worsening of cardiometabolic risk factors, and decreases were associated with improvements. Boys who increased BMI category were more vulnerable to negative risk factor changes than girls. CONCLUSIONS There are substantial shifts across BMI categories during middle school that are associated with clinically meaningful changes in cardiometabolic risk factors. Programs to promote decreases in BMI and prevent increases are clearly warranted.
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Affiliation(s)
- Marsha D. Marcus
- Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Gary D. Foster
- Center for Obesity Research and Education, Temple University, Philadelphia, Pennsylvania
| | - Laure El ghormli
- The Biostatistics Center, George Washington University, Washington, District of Columbia
| | - Tom Baranowski
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas
| | - Linn Goldberg
- Department of Medicine, Oregon Health and Science University, Portland, Oregon
| | - Russell Jago
- Centre for Exercise, Nutrition & Health, School for Policy Studies, University of Bristol, Bristol, United Kingdom
| | - Barbara Linder
- National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland
| | - Allan Steckler
- Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina; and
| | - Roberto Treviño
- Research and Evaluation, Social and Health Research Center, University of Texas Health Sciences Center at San Antonio, San Antonio, Texas
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Mobley CC, Stadler DD, Staten MA, ghormli LE, Gillis B, Hartstein J, Siega-Riz AM, Virus A. Effect of nutrition changes on foods selected by students in a middle school-based diabetes prevention intervention program: the HEALTHY experience. THE JOURNAL OF SCHOOL HEALTH 2012; 82:82-90. [PMID: 22239133 PMCID: PMC3261591 DOI: 10.1111/j.1746-1561.2011.00670.x] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
BACKGROUND The HEALTHY primary prevention trial developed an integrated multicomponent intervention program to moderate risk factors for type 2 diabetes in middle schools. The nutrition component aimed to improve the quality of foods and beverages served to students. Changes in the School Breakfast Program (SBP), National School Lunch Program (NSLP), and à la carte venues are compared to the experience of control schools. METHODS The intervention was implemented in 21 middle schools from winter 2007 through spring 2009 (following a cohort of students from sixth through eighth grades); 21 schools acted as observed controls. The nutrition component targeted school food service environmental change. Data identifying foods and nutrients served (selected by students for consumption) were collected over a 20-day period at baseline and end of study. Analysis compared end of study values for intervention versus control schools. RESULTS Intervention schools more successfully limited dessert and snack food portion size in NSLP and à la carte and lowered fat content of foods served. Servings of high-fiber grain-based foods and/or legumes were improved in SBP but not NSLP. Intervention and control schools eliminated >1% fat milk and added-sugar beverages in SBP, but intervention schools were more successful in NSLP and à la carte. CONCLUSION The HEALTHY program demonstrated significant changes in the nutritional quality of foods and beverages served in the SBP, NSLP, and à la carte venues, as part of an effort to decrease childhood obesity and support beneficial effects in some secondary HEALTHY study outcomes.
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Affiliation(s)
- Connie C. Mobley
- Associate Dean of Research and Professor of Nutrition, University of Nevada Las Vegas, 1001 Shadow Lane MS 7425, Las Vegas, NV 89106, Phone: 702-774-2643, FAX: 7027742647
| | - Diane D. Stadler
- Assistant Professor, Division of Health Promotion & Sports Medicine, Director of Graduate Programs in Human Nutrition, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, CR110, Portland, Oregon 97239, Phone: 503-494-0168, FAX: 503-494-1310
| | - Myrlene A Staten
- Senior Advisor, Diabetes Translational Research, National Institutes of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 6707 Democracy Blvd, Rm 6107, Bethesda, MD 20892, Phone: 301-402-7886, FAX: 301-480-3503
| | - Laure El ghormli
- Senior Research Associate, Biostatistics Center, George Washington University, 6110 Executive Blvd, Suite 750, Rockville, MD 20852, Phone: 301-231-6804, Fax: 301-881-3767
| | - Bonnie Gillis
- Senior Manager, Scientific Content Development, Health Promotion Department, University of Pittsburgh Medical Center Health Plan, Two Chatham Center, 112 Washington Place, Pittsburgh, PA 15219, Phone: 412-454-5658, FAX: 412-454-2942
| | - Jill Hartstein
- Nutritionist, University of California, Irvine, 620 University Tower, 4199 Campus Drive, Irvine, CA 92697, Phone: 949-285-4626, Fax: 949-824-8849
| | - Anna Maria Siega-Riz
- Professor of Epidemiology and Nutrition, Associate Chair of Epidemiology, 2105-A McGavran Greenberg Bld, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, Phone: 919-962-8410
| | - Amy Virus
- Center for Obesity Research & Education, Temple University, 3223 North Broad Street, Suite 175, Philadelphia PA 19140, Phone: 215-707-8669, FAX: 215-707-6475
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Murray TD, Eldridge J, Silvius P, Silvius E, Squires WG. FITNESSGRAM® Friday: A Middle School Physical Activity and Fitness Intervention. INTERNATIONAL JOURNAL OF EXERCISE SCIENCE 2012; 5:4-15. [PMID: 27182371 PMCID: PMC4738980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
Abstract
Texas Senate Bill 530 (2007) mandated fitness assessment as part of the annual K-8 Physical Education (PE) curricula, yet no studies have reported interventions designed to improve and quantify individual student passing rates or individual school performance. Students (Total 2008-2010 N=1484; 729 females, 755 males; mean age = 11.85 y; mean BMI = 22.69 or > 90%-tile, overweight) were evaluated on individual FITNESSGRAM® performances in a cross-sectional analysis of 6th graders comparing baseline scores (year 1) with outcomes of a physical activity intervention in years 2 and 3. Students participated in regular PE classes (including campus wellness center activities) with a once a week focus (FITNESSGRAM® Friday) on improving mile run scores and other assessment scores. Students significantly improved FITNESSGRAM® scores following the PE intervention to levels similar to state reported averages. On average, boys improved their pushups by 32.7%, trunk lift by 17.4% and mile run times by 29.5%. Averages for girls improved by 15.4% for pushups, 6.7% for truck lift, and by 38.6% for the mile run. The percentage of boys in our study achieving all six FITNESSGRAM® tests in the HFZ was 3% at baseline and 22% following intervention. The percentage of girls meeting the criteria for the HFZ on all six FITNESSGRAM® tests was 4.5% at baseline and 20% following intervention. This study provides a potential model for fitness success in other middle school PE interventions, in Texas and the nation.
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Affiliation(s)
- Tinker D Murray
- Department of Health and Human Performance, Texas State University, San Marcos, TX, USA
| | - James Eldridge
- Department of Kinesiology, University of Texas at the Permian Basin, Odessa, TX, USA
| | - Pete Silvius
- Seguin Independent School District, Seguin, TX, USA
| | - Erik Silvius
- Seguin Independent School District, Seguin, TX, USA
| | - William G Squires
- Departments of Biology and Kinesiology, Texas Lutheran University, Seguin, TX, USA
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Ballali S, Lanciai F. Functional food and diabetes: a natural way in diabetes prevention? Int J Food Sci Nutr 2011; 63 Suppl 1:51-61. [PMID: 22107597 DOI: 10.3109/09637486.2011.637487] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Diabetes shows a wide range of variation in prevalence around the world and it is expected to affect 300 million by the year 2025. In a prevention framework where banning policies and educational strategies lead the interventions, functional foods (FFs) with their specific health effects could, in the future, indicate a new mode of thinking about the relationships between food and health in everyday life. Functional ingredients, such as stevioside, cinnamon, bitter melon, garlic and onion, ginseng, Gymnema sylvestre and fenugreek, have been addressed for their specific actions towards different reactions involved in diabetes development. New strategies involving the use of FF should be validated through large-scale population trials, considering validated surrogate end points to evaluate the effect of FF in prevention of chronic diseases such as type 2 diabetes mellitus.
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DeBar LL, Schneider M, Drews KL, Ford EG, Stadler DD, Moe EL, White M, Hernandez AE, Solomon S, Jessup A, Venditti EM. Student public commitment in a school-based diabetes prevention project: impact on physical health and health behavior. BMC Public Health 2011; 11:711. [PMID: 21933431 PMCID: PMC3189889 DOI: 10.1186/1471-2458-11-711] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2011] [Accepted: 09/20/2011] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND As concern about youth obesity continues to mount, there is increasing consideration of widespread policy changes to support improved nutritional and enhanced physical activity offerings in schools. A critical element in the success of such programs may be to involve students as spokespeople for the program. Making such a public commitment to healthy lifestyle program targets (improved nutrition and enhanced physical activity) may potentiate healthy behavior changes among such students and provide a model for their peers. This paper examines whether student's "public commitment"--voluntary participation as a peer communicator or in student-generated media opportunities--in a school-based intervention to prevent diabetes and reduce obesity predicted improved study outcomes including reduced obesity and improved health behaviors. METHODS Secondary analysis of data from a 3-year randomized controlled trial conducted in 42 middle schools examining the impact of a multi-component school-based program on body mass index (BMI) and student health behaviors. A total of 4603 students were assessed at the beginning of sixth grade and the end of eighth grade. Process evaluation data were collected throughout the course of the intervention. All analyses were adjusted for students' baseline values. For this paper, the students in the schools randomized to receive the intervention were further divided into two groups: those who participated in public commitment activities and those who did not. Students from comparable schools randomized to the assessment condition constituted the control group. RESULTS We found a lower percentage of obesity (greater than or equal to the 95th percentile for BMI) at the end of the study among the group participating in public commitment activities compared to the control group (21.5% vs. 26.6%, p = 0.02). The difference in obesity rates at the end of the study was even greater among the subgroup of students who were overweight or obese at baseline; 44.6% for the "public commitment" group, versus 53.2% for the control group (p = 0.01). There was no difference in obesity rates between the group not participating in public commitment activities and the control group (26.4% vs. 26.6%). CONCLUSIONS Participating in public commitment activities during the HEALTHY study may have potentiated the changes promoted by the behavioral, nutrition, and physical activity intervention components. TRIAL REGISTRATION ClinicalTrials.gov number, NCT00458029.
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Affiliation(s)
- Lynn L DeBar
- Kaiser Permanente Center for Health Research, 3800 North Interstate Ave, Portland, OR 97227, USA
| | - Margaret Schneider
- Department of Planning, Policy, and Design, University of California at Irvine, 258 Social Ecology I, Irvine, CA 92697, USA
| | - Kimberly L Drews
- The George Washington University Biostatistics Center, 6110 Executive Blvd, Suite 750, Rockville, MD 20852, USA
| | - Eileen G Ford
- The Children's Hospital of Philadelphia, Department of Pediatrics, 3535 Market Street, Suite 1572, Philadelphia, PA 19104, USA
| | - Diane D Stadler
- Division of Health Promotion and Sports Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, CR110, Portland, OR 97239, USA
| | - Esther L Moe
- Division of Health Promotion and Sports Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, CR110, Portland, OR 97239, USA
| | - Mamie White
- Children's Nutrition Research Center, Baylor College of Medicine, 1100 Bates Street #2033, Houston, TX 77030, USA
| | - Arthur E Hernandez
- College of Education, Texas A&M University, Corpus Christi, 6300 Ocean Drive, Unit 5818, Corpus Christi, TX 78412, USA
| | - Sara Solomon
- City of Philadelphia Department of Public Health, 1101 Market Street, Floor 9, Philadelphia, PA 19102, USA
| | - Ann Jessup
- School of Nursing, The University of North Carolina at Chapel Hill, Carrington Hall, CB #7460, Chapel Hill, NC 27599-7460, USA
| | - Elizabeth M Venditti
- University of Pittsburgh, Western Psychiatric Institute and Clinic, 3811 O'Hara St., Pittsburgh, PA 15213, USA
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Jago R, McMurray RG, Drews KL, Moe EL, Murray T, Pham TH, Venditti EM, Volpe SL. HEALTHY intervention: fitness, physical activity, and metabolic syndrome results. Med Sci Sports Exerc 2011; 43:1513-22. [PMID: 21233778 PMCID: PMC3605897 DOI: 10.1249/mss.0b013e31820c9797] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
PURPOSE This study aimed to assess the effect of the HEALTHY intervention on the metabolic syndrome (Met-S), fitness, and physical activity levels of US middle-school students. METHODS Cluster randomized controlled trial conducted in 42 (21 intervention) US middle schools. Participants were recruited at the start of sixth grade (2006) when baseline assessments were made, with post-assessments made 2.5 yr later at the end of eighth grade (2009). The HEALTHY intervention had four components: 1) improved school food environment, 2) physical activity and eating educational sessions, 3) social marketing, and 4) revised physical education curriculum. Met-S risk factors, 20-m shuttle run (fitness), and self-reported moderate to vigorous physical activity (MVPA) were assessed at each time point. Ethnicity and gender were self-reported. Obesity status (normal weight, overweight, or obese) was also assessed. RESULTS At baseline, 5% of the participants were classified with Met-S, with two-thirds of the males and one-third of the females recording below average baseline fitness levels. Control group participants reported 96 min of MVPA at baseline with 103 min reported by the intervention group. There were no statistically significant (P < 0.05) differences in Met-S, fitness, or MVPA levels at the end of the study after adjustment for baseline values and confounders. There were no differences in any ethnic, obesity, or ethnic × obesity subgroups for either gender. CONCLUSIONS The HEALTHY intervention had no effect on the Met-S, fitness, or physical activity levels. Approaches that focus on how to change physical activity, fitness, and Met-S using nonschool or perhaps in addition to school based components need to be developed.
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Affiliation(s)
- Russell Jago
- Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Tyndall Avenue, Bristol, BS8 1TP, United Kingdom.
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Siega-Riz AM, El Ghormli L, Mobley C, Gillis B, Stadler D, Hartstein J, Volpe SL, Virus A, Bridgman J. The effects of the HEALTHY study intervention on middle school student dietary intakes. Int J Behav Nutr Phys Act 2011; 8:7. [PMID: 21294869 PMCID: PMC3041997 DOI: 10.1186/1479-5868-8-7] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2010] [Accepted: 02/04/2011] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND The HEALTHY study was designed to respond to the alarming trends in increasing rates of overweight, obesity, and type 2 diabetes mellitus in youth. The objective of this analysis was to examine the effects of the HEALTHY study on student self-reported dietary intakes (energy, macronutrients and grams consumed of selected food groups). METHODS HEALTHY was a cluster-randomized study in 42 public middle schools. Students, n=3908, self-reported dietary intake using the Block Kids Questionnaire. General linear mixed models were used to analyze differences in dietary intake at the end of the study between intervention and control schools. RESULTS The reported average daily fruit consumption was 10% higher at the end of the study in the intervention schools than in the control schools (138 g or approximately 2 servings versus 122 g, respectively, p=0.0016). The reported water intake was approximately 2 fluid ounces higher in the intervention schools than in the control (483 g versus 429 g respectively; p=0.008). There were no significant differences between intervention and control for mean intakes of energy, macronutrients, fiber, grains, vegetables, legumes, sweets, sweetened beverages, and higher- or lower-fat milk consumption. CONCLUSION The HEALTHY study, a five-semester middle school-based intervention program that integrated multiple components in nutrition, physical education, behavior change, and social marketing-based communications, resulted in significant changes to student's reported fruit and water intake. Subsequent interventions need to go beyond the school environment to change diet behaviors that may affect weight status of children.
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Affiliation(s)
- Anna Maria Siega-Riz
- Carolina Population Center, University of North Carolina at Chapel Hill. NC. USA
| | | | | | - Bonnie Gillis
- Health Promotion Department, University of Pittsburgh Medical Center Health Plan, PA, USA
| | - Diane Stadler
- Division of Health Promotion & Sports Medicine, Oregon Health & Science University, OR, USA
| | | | - Stella L Volpe
- Division of Biobehavioral and Health Sciences, School of Nursing, University of Pennsylvania, PA, USA
| | - Amy Virus
- Center for Obesity Research & Education Temple University, PA, USA
| | - Jessica Bridgman
- School of Nursing, University of North Carolina at Chapel Hill. NC, USA
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Hartstein J, Cullen KW, Virus A, El Ghormli L, Volpe SL, Staten MA, Bridgman JC, Stadler DD, Gillis B, McCormick SB, Mobley CC. Impact of the HEALTHY Study on Vending Machine Offerings in Middle Schools. JOURNAL OF CHILD NUTRITION & MANAGEMENT (ONLINE) 2011; 35:16353. [PMID: 23687471 PMCID: PMC3655774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
PURPOSEOBJECTIVES The purpose of this study is to report the impact of the three-year middle school-based HEALTHY study on intervention school vending machine offerings. There were two goals for the vending machines: serve only dessert/snack foods with 200 kilocalories or less per single serving package, and eliminate 100% fruit juice and beverages with added sugar. METHODS Six schools in each of seven cities (Houston, TX, San Antonio, TX, Irvine, CA, Portland, OR, Pittsburg, PA, Philadelphia, PA, and Chapel Hill, NC) were randomized into intervention (n=21 schools) or control (n=21 schools) groups, with three intervention and three control schools per city. All items in vending machine slots were tallied twice in the fall of 2006 for baseline data and twice at the end of the study, in 2009. The percentage of total slots for each food/beverage category was calculated and compared between intervention and control schools at the end of study, using the Pearson chi-square test statistic. RESULTS At baseline, 15 intervention and 15 control schools had beverage and/or snack vending machines, compared with 11 intervention and 11 control schools at the end of the study. At the end of study, all of the intervention schools with beverage vending machines, but only one out of the nine control schools, met the beverage goal. The snack goal was met by all of the intervention schools and only one of the four control schools with snack vending machines. APPLICATIONS TO CHILD NUTRITION PROFESSIONALS The HEALTHY study's vending machine beverage and snack goals were successfully achieved in intervention schools, reducing access to less healthy food items outside the school meals program. Although the effect of these changes on student diet, energy balance and growth is unknown, these results suggest that healthier options for snacks can successfully be offered in school vending machines.
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Abstract
The HEALTHY study was a multi-site randomized trial designed to determine whether a 3-year school-based intervention targeting nutrition and physical activity behaviors could effectively reduce risk factors associated with type 2 diabetes in middle school children. Pilot and formative studies were conducted to inform the development of the intervention components and the process evaluation methods for the main trial. During the main trial, both qualitative and quantitative assessments monitored the fidelity of the intervention and motivated modifications to improve intervention delivery. Structured observations of physical education classes, total school food environments, classroom-based educational modules, and communications and promotional campaigns provided verification that the intervention was delivered as intended. Interviews and focus groups yielded a multidimensional assessment of how the intervention was delivered and received, as well as identifying the barriers to and facilitators of the intervention across and within participating schools. Interim summaries of process evaluation data were presented to the study group as a means of ensuring standardization and quality of the intervention across the seven participating centers. Process evaluation methods and procedures documented the fidelity with which the HEALTHY study was implemented across 21 intervention schools and identified ways in which the intervention delivery might be enhanced throughout the study.
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Rationale, design and methods of the HEALTHY study physical education intervention component. Int J Obes (Lond) 2010; 33 Suppl 4:S37-43. [PMID: 19623187 DOI: 10.1038/ijo.2009.115] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The HEALTHY primary prevention trial was designed to reduce risk factors for type 2 diabetes in middle school students. Middle schools at seven centers across the United States participated in the 3-year study. Half of them were randomized to receive a multi-component intervention. The intervention integrated nutrition, physical education (PE) and behavior changes with a communications strategy of promotional and educational materials and activities. The PE intervention component was developed over a series of pilot studies to maximize student participation and the time (in minutes) spent in moderate-to-vigorous physical activity (MVPA), while meeting state-mandated PE guidelines. The goal of the PE intervention component was to achieve > or =150 min of MVPA in PE classes every 10 school days with the expectation that it would provide a direct effect on adiposity and insulin resistance, subsequently reducing the risk of type 2 diabetes in youth. The PE intervention component curriculum used standard lesson plans to provide a comprehensive approach to middle school PE. Equipment and PE teacher assistants were provided for each school. An expert in PE at each center trained the PE teachers and assistants, monitored delivery of the intervention and provided ongoing feedback and guidance.
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