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The Effect of a Multifaceted Intervention on Dietary Quality in Schoolchildren and the Mediating Effect of Dietary Quality between Intervention and Changes in Adiposity Indicators: A Cluster Randomized Controlled Trial. Nutrients 2022; 14:nu14163272. [PMID: 36014777 PMCID: PMC9414904 DOI: 10.3390/nu14163272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 07/31/2022] [Accepted: 08/04/2022] [Indexed: 11/17/2022] Open
Abstract
Some studies have found associations between dietary quality and obesity and their concurrent changes were observed in a few interventions. The present study aimed to assess the effect of a multifaceted intervention for childhood obesity on dietary quality and examine the mediating effect of dietary quality between the intervention and changes in adiposity indicators. Based on the social ecological model, the cluster randomized controlled trial included five components (three targeted children and two targeted their environment). In total, 1176 children from three cities in China participated in a baseline (2018) and end-of-trial (2019) examination, including 605 children in the intervention group and 571 in the control group. Self-reported behavior and anthropometric measures were collected at both time points. The Diet Balance Index Revision (DBI-07) was calculated to assess dietary quality. Generalized linear mixed models were used to estimate the intervention effect on dietary quality and its mediating effects were examined. Compared to the controls, the proportion of sugar-sweetened beverage (SSB) intake (OR = 0.27, p < 0.001, corrected p < 0.001) decreased in the intervention group. Higher bound scores (HBS) of the DBI-07 indicating over-intake decreased in the intervention group compared to the controls (mean difference = −1.52, p = 0.005, corrected p = 0.015). Changes in the HBS partially mediated the associations between the intervention and changes in body mass index, waist circumference, and body fat percentage. Future intervention should promote knowledge, attitudes, and behaviors related to dietary quality.
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Chiang WL, Azlan A, Mohd Yusof BN. Effectiveness of education intervention to reduce sugar-sweetened beverages and 100% fruit juice in children and adolescents: a scoping review. Expert Rev Endocrinol Metab 2022; 17:179-200. [PMID: 35404182 DOI: 10.1080/17446651.2022.2060818] [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] [Received: 03/03/2021] [Accepted: 03/29/2022] [Indexed: 10/18/2022]
Abstract
OBJECTIVE To determine the impact of educational intervention in reducing the consumption of sugar-sweetened beverages (SSBs) and 100% fruit juice in children and adolescents. DESIGN We conducted a comprehensive Ovid Medline and Scopus search. Articles had to be peer-reviewed, full-text and published in English. Studies had to be controlled intervention, published between 1 January 2010 to 7 February 2021, and in children and adolescents. Study quality was measured using the Quality Assessment Tool for Controlled Intervention Studies. RESULTS Forty intervention articles were included in this review involving 25,069 children and adolescents. All studies employed a quantitative research method using the Randomized Controlled Trial designs. Twenty-eight out of forty interventions used psychosocial theories. Study quality ranged from 'fair' to 'good.' Results showed that education intervention effectively reduced SSBs, and reduced 100% fruit juice in children. EXPERT OPINION Reducing the SSBs consumption in children should be initiated by conducting school-based programs consisting of interactive learning process, psychosocial theories and the involvement of parents or caregivers. Theories that focus on personal, behavior and environment factors improve the effectiveness of the intervention. More research is warranted to investigate the impacts of 100% fruit juice on obesity, dental caries and risk of co-morbidities in children.
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Affiliation(s)
- Wan Ling Chiang
- Faculty of Medicine and Health Sciences, 43400 Universiti Putra Malaysia, Serdang, Malaysia
| | - Azrina Azlan
- Faculty of Medicine and Health Sciences, 43400 Universiti Putra Malaysia, Serdang, Malaysia
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Sutherland R, Ying Ooi J, Finch M, Yoong SL, Nathan N, Wrigley J, Reilly K, Janssen L, Wiggers J, Wolfenden L. A cluster randomised controlled trial of a secondary school intervention to reduce intake of sugar-sweetened beverages: Mid-intervention impact of switchURsip environmental strategies. Health Promot J Austr 2021; 33:176-186. [PMID: 33577117 DOI: 10.1002/hpja.469] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 02/06/2021] [Indexed: 11/07/2022] Open
Abstract
ISSUE ADDRESSED Secondary schools provide an opportune setting for interventions addressing excessive sugar-sweetened beverage (SSB) intake in adolescence. This trial aimed to assess the impact of school environmental strategies, delivered as part of a broader intervention, among Year 7-9 students' SSB consumption. METHODS Between March and July 2018, we conducted a cluster randomised controlled trial with 862 students attending six secondary schools (3 intervention and 3 control) in New South Wales. The intervention targeted SSB availability, placement, promotion and pricing, and increased availability and promotion of water. Control schools followed their usual programmes. Primary outcomes included mean daily SSB consumption (millilitres) and mean daily percentage energy from SSB (kilojoules). Sub-group analysis explored primary outcomes for gender, school year level and frequency of canteen use. RESULTS Of the 2265 eligible students, 1092 (50.2%) provided active parental consent and 940 (86.0%) participated in baseline data collection. No significant differences were observed between groups at follow-up for mean daily SSBs consumed (-10.17 mL, CI: -24.78; 45.12, P = 0.57) or mean daily percentage energy from SSBs (-0.20%, CI: -0.87; 0.47, P = .56). Significant effects were observed among girls in intervention compared to girls in control schools for mean daily SSB consumption (-52.02 mL, CI 99.8; 94.14, P = .03) and mean daily percentage of energy from SSBs (-0.90%, CI: -1.82; 0.02, P = .05). CONCLUSIONS At 3-month mid-intervention evaluation, the intervention failed to impact on mean daily consumption and mean percentage energy from SSBs, overall. However, an intervention effect was observed in girls. The limited overall effect is likely due to inadequate intervention dose related to the short duration, limiting opportunities for schools to fully implement the environmental strategies. SO WHAT?: A longer intervention duration with additional implementation support to allow adequate time to embed the strategies within the school is recommended. Implementation support strategies would ensure staff are supported throughout the process.
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Affiliation(s)
- Rachel Sutherland
- Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.,Priority Research Centre for Heath Behaviour, University of Newcastle, Callaghan, NSW, Australia
| | - Jia Ying Ooi
- Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.,Priority Research Centre for Heath Behaviour, University of Newcastle, Callaghan, NSW, Australia
| | - Meghan Finch
- Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.,Priority Research Centre for Heath Behaviour, University of Newcastle, Callaghan, NSW, Australia
| | - Sze Lin Yoong
- Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.,Priority Research Centre for Heath Behaviour, University of Newcastle, Callaghan, NSW, Australia
| | - Nicole Nathan
- Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.,Priority Research Centre for Heath Behaviour, University of Newcastle, Callaghan, NSW, Australia
| | - Jessica Wrigley
- Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Kathryn Reilly
- Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.,Priority Research Centre for Heath Behaviour, University of Newcastle, Callaghan, NSW, Australia
| | - Lisa Janssen
- Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia
| | - John Wiggers
- Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.,Priority Research Centre for Heath Behaviour, University of Newcastle, Callaghan, NSW, Australia
| | - Luke Wolfenden
- Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.,Priority Research Centre for Heath Behaviour, University of Newcastle, Callaghan, NSW, Australia
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Physical Activity, the Childhood Cancer Symptom Cluster-Leukemia, and Cognitive Function: A Longitudinal Mediation Analysis. Cancer Nurs 2019; 41:434-440. [PMID: 30124481 DOI: 10.1097/ncc.0000000000000634] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND Children undergoing leukemia treatment report co-occurring symptoms of fatigue, sleep disturbances, pain, nausea, and depression as a symptom cluster. Physical activity (PA) is essential for development and may influence symptom severity. Children with leukemia are at risk of cognitive impairments from central nervous system therapies. Using a longitudinal parallel-process model, relationships among function and symptom clusters were explored. OBJECTIVE This study examined the longitudinal mediation effects of PA on cognition via a symptom cluster during leukemia treatment. METHODS Symptoms, PA, and cognitive function of 327 children aged 3 to 18 years were measured over 4 intervals during the first year of leukemia treatment. Children 7 years or older self-reported and parents reported for younger children. Parents completed cognitive function measurements for all children. The influence of the first time point and the subsequent change between all 4 time points of PA on the symptom cluster were explored. Analysis determined whether the symptom cluster mediated the effect of cognition over the treatment period. RESULTS Patients with a higher PA at time 1 reduced their symptom cluster severity over the measurements. However, when PA increased over the measurements, symptom cluster severity also increased. When the symptom cluster was more severe at time 1, cognitive function was lower at time 1, and cognitive function decreased over time. When symptoms became more severe over time, cognitive function declined. CONCLUSIONS The symptom cluster acted as a mediator between PA and cognition. IMPLICATIONS FOR PRACTICE Symptom management during treatment may be an additional strategy for protecting cognitive function.
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Hammersley M, Okely A, Batterham M, Jones R. Investigating the mediators and moderators of child body mass index change in the Time2bHealthy childhood obesity prevention program for parents of preschool-aged children. Public Health 2019; 173:50-57. [DOI: 10.1016/j.puhe.2019.04.017] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2018] [Revised: 02/27/2019] [Accepted: 04/26/2019] [Indexed: 11/24/2022]
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Brown T, Moore TH, Hooper L, Gao Y, Zayegh A, Ijaz S, Elwenspoek M, Foxen SC, Magee L, O'Malley C, Waters E, Summerbell CD. Interventions for preventing obesity in children. Cochrane Database Syst Rev 2019; 7:CD001871. [PMID: 31332776 PMCID: PMC6646867 DOI: 10.1002/14651858.cd001871.pub4] [Citation(s) in RCA: 297] [Impact Index Per Article: 59.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
EDITORIAL NOTE This Cochrane review is now out of date and should not be used for reference. It has been split into four age groups and updated. Please refer to the 5‐11 and 12‐18 age group Cochrane reviews which were published in May 2024: https://doi.org/10.1002/14651858.CD015328.pub2 https://doi.org/10.1002/14651858.CD015330.pub2 The 2‐4 age group Cochrane review is planned for publication in September 2024. BACKGROUND Prevention of childhood obesity is an international public health priority given the significant impact of obesity on acute and chronic diseases, general health, development and well-being. The international evidence base for strategies to prevent obesity is very large and is accumulating rapidly. This is an update of a previous review. OBJECTIVES To determine the effectiveness of a range of interventions that include diet or physical activity components, or both, designed to prevent obesity in children. SEARCH METHODS We searched CENTRAL, MEDLINE, Embase, PsychINFO and CINAHL in June 2015. We re-ran the search from June 2015 to January 2018 and included a search of trial registers. SELECTION CRITERIA Randomised controlled trials (RCTs) of diet or physical activity interventions, or combined diet and physical activity interventions, for preventing overweight or obesity in children (0-17 years) that reported outcomes at a minimum of 12 weeks from baseline. DATA COLLECTION AND ANALYSIS Two authors independently extracted data, assessed risk-of-bias and evaluated overall certainty of the evidence using GRADE. We extracted data on adiposity outcomes, sociodemographic characteristics, adverse events, intervention process and costs. We meta-analysed data as guided by the Cochrane Handbook for Systematic Reviews of Interventions and presented separate meta-analyses by age group for child 0 to 5 years, 6 to 12 years, and 13 to 18 years for zBMI and BMI. MAIN RESULTS We included 153 RCTs, mostly from the USA or Europe. Thirteen studies were based in upper-middle-income countries (UMIC: Brazil, Ecuador, Lebanon, Mexico, Thailand, Turkey, US-Mexico border), and one was based in a lower middle-income country (LMIC: Egypt). The majority (85) targeted children aged 6 to 12 years.Children aged 0-5 years: There is moderate-certainty evidence from 16 RCTs (n = 6261) that diet combined with physical activity interventions, compared with control, reduced BMI (mean difference (MD) -0.07 kg/m2, 95% confidence interval (CI) -0.14 to -0.01), and had a similar effect (11 RCTs, n = 5536) on zBMI (MD -0.11, 95% CI -0.21 to 0.01). Neither diet (moderate-certainty evidence) nor physical activity interventions alone (high-certainty evidence) compared with control reduced BMI (physical activity alone: MD -0.22 kg/m2, 95% CI -0.44 to 0.01) or zBMI (diet alone: MD -0.14, 95% CI -0.32 to 0.04; physical activity alone: MD 0.01, 95% CI -0.10 to 0.13) in children aged 0-5 years.Children aged 6 to 12 years: There is moderate-certainty evidence from 14 RCTs (n = 16,410) that physical activity interventions, compared with control, reduced BMI (MD -0.10 kg/m2, 95% CI -0.14 to -0.05). However, there is moderate-certainty evidence that they had little or no effect on zBMI (MD -0.02, 95% CI -0.06 to 0.02). There is low-certainty evidence from 20 RCTs (n = 24,043) that diet combined with physical activity interventions, compared with control, reduced zBMI (MD -0.05 kg/m2, 95% CI -0.10 to -0.01). There is high-certainty evidence that diet interventions, compared with control, had little impact on zBMI (MD -0.03, 95% CI -0.06 to 0.01) or BMI (-0.02 kg/m2, 95% CI -0.11 to 0.06).Children aged 13 to 18 years: There is very low-certainty evidence that physical activity interventions, compared with control reduced BMI (MD -1.53 kg/m2, 95% CI -2.67 to -0.39; 4 RCTs; n = 720); and low-certainty evidence for a reduction in zBMI (MD -0.2, 95% CI -0.3 to -0.1; 1 RCT; n = 100). There is low-certainty evidence from eight RCTs (n = 16,583) that diet combined with physical activity interventions, compared with control, had no effect on BMI (MD -0.02 kg/m2, 95% CI -0.10 to 0.05); or zBMI (MD 0.01, 95% CI -0.05 to 0.07; 6 RCTs; n = 16,543). Evidence from two RCTs (low-certainty evidence; n = 294) found no effect of diet interventions on BMI.Direct comparisons of interventions: Two RCTs reported data directly comparing diet with either physical activity or diet combined with physical activity interventions for children aged 6 to 12 years and reported no differences.Heterogeneity was apparent in the results from all three age groups, which could not be entirely explained by setting or duration of the interventions. Where reported, interventions did not appear to result in adverse effects (16 RCTs) or increase health inequalities (gender: 30 RCTs; socioeconomic status: 18 RCTs), although relatively few studies examined these factors.Re-running the searches in January 2018 identified 315 records with potential relevance to this review, which will be synthesised in the next update. AUTHORS' CONCLUSIONS Interventions that include diet combined with physical activity interventions can reduce the risk of obesity (zBMI and BMI) in young children aged 0 to 5 years. There is weaker evidence from a single study that dietary interventions may be beneficial.However, interventions that focus only on physical activity do not appear to be effective in children of this age. In contrast, interventions that only focus on physical activity can reduce the risk of obesity (BMI) in children aged 6 to 12 years, and adolescents aged 13 to 18 years. In these age groups, there is no evidence that interventions that only focus on diet are effective, and some evidence that diet combined with physical activity interventions may be effective. Importantly, this updated review also suggests that interventions to prevent childhood obesity do not appear to result in adverse effects or health inequalities.The review will not be updated in its current form. To manage the growth in RCTs of child obesity prevention interventions, in future, this review will be split into three separate reviews based on child age.
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Affiliation(s)
- Tamara Brown
- Department of Sport and Exercise Sciences, Durham University, Durham, UK
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Hockenberry MJ, Pan W, Scheurer ME, Hooke MC, Taylor O, Koerner K, Montgomery D, Whitman S, Mitby P, Moore I. Influence of Inflammatory and Oxidative Stress Pathways on Longitudinal Symptom Experiences in Children With Leukemia. Biol Res Nurs 2019; 21:458-465. [PMID: 31315444 DOI: 10.1177/1099800419863160] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PURPOSE The purpose of this study was to explore the influence of oxidative stress (F2-isoprostanes) and inflammatory (interleukin [IL]-8) biomarkers on symptom trajectories during the first 18 months of childhood leukemia treatment. METHOD A repeated-measures design was used to evaluate symptoms experienced by 218 children during treatment. A symptom cluster (fatigue, pain, and nausea) was explored over four time periods: initiation of post-induction therapy, 4 and 8 months into post-induction therapy, and the beginning of maintenance therapy (12 months postinduction). F2-isoprostanes and IL-8 were evaluated in cerebrospinal fluid (CSF) samples collected at baseline (diagnosis) and then at the four time periods. The longitudinal relationships of these biomarkers with the symptom cluster were examined using the longitudinal parallel process. RESULTS Pain and fatigue levels were highest during the post-induction phases of treatment and decreased slightly during maintenance therapy, while nausea scores were relatively stable. Even in the later phases of treatment, children continued to experience symptoms. CSF levels of the biomarkers increased during the post-induction phases of treatment. Early increases in the biomarkers were associated with more severe symptoms during the same period; patients who had increased biomarkers over time also experienced more severe symptoms over time. CONCLUSIONS Findings reveal that children experienced symptoms throughout the course of leukemia treatment and support hypothesized longitudinal relationships of oxidative stress and inflammatory biomarkers with symptom severity. Activation of the biomarker pathways during treatment may explain underlying mechanisms of symptom experiences and identify which children are at risk for severe symptoms.
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Affiliation(s)
| | - Wei Pan
- 1 School of Nursing, Duke University, Durham, NC, USA
| | - Michael E Scheurer
- 2 Baylor College of Medicine, Houston, TX, USA.,3 Texas Children's Cancer and Hematology Centers, Houston, TX, USA
| | - Mary C Hooke
- 4 School of Nursing, University of Minnesota, Minneapolis, MN, USA
| | - Olga Taylor
- 2 Baylor College of Medicine, Houston, TX, USA.,3 Texas Children's Cancer and Hematology Centers, Houston, TX, USA
| | - Kari Koerner
- 5 College of Nursing, University of Arizona, Tucson, AZ, USA
| | | | - Susan Whitman
- 5 College of Nursing, University of Arizona, Tucson, AZ, USA
| | | | - Ida Moore
- 5 College of Nursing, University of Arizona, Tucson, AZ, USA
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von Philipsborn P, Stratil JM, Burns J, Busert LK, Pfadenhauer LM, Polus S, Holzapfel C, Hauner H, Rehfuess E. Environmental interventions to reduce the consumption of sugar-sweetened beverages and their effects on health. Cochrane Database Syst Rev 2019; 6:CD012292. [PMID: 31194900 PMCID: PMC6564085 DOI: 10.1002/14651858.cd012292.pub2] [Citation(s) in RCA: 104] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
BACKGROUND Frequent consumption of excess amounts of sugar-sweetened beverages (SSB) is a risk factor for obesity, type 2 diabetes, cardiovascular disease and dental caries. Environmental interventions, i.e. interventions that alter the physical or social environment in which individuals make beverage choices, have been advocated as a means to reduce the consumption of SSB. OBJECTIVES To assess the effects of environmental interventions (excluding taxation) on the consumption of sugar-sweetened beverages and sugar-sweetened milk, diet-related anthropometric measures and health outcomes, and on any reported unintended consequences or adverse outcomes. SEARCH METHODS We searched 11 general, specialist and regional databases from inception to 24 January 2018. We also searched trial registers, reference lists and citations, scanned websites of relevant organisations, and contacted study authors. SELECTION CRITERIA We included studies on interventions implemented at an environmental level, reporting effects on direct or indirect measures of SSB intake, diet-related anthropometric measures and health outcomes, or any reported adverse outcome. We included randomised controlled trials (RCTs), non-randomised controlled trials (NRCTs), controlled before-after (CBA) and interrupted-time-series (ITS) studies, implemented in real-world settings with a combined length of intervention and follow-up of at least 12 weeks and at least 20 individuals in each of the intervention and control groups. We excluded studies in which participants were administered SSB as part of clinical trials, and multicomponent interventions which did not report SSB-specific outcome data. We excluded studies on the taxation of SSB, as these are the subject of a separate Cochrane Review. DATA COLLECTION AND ANALYSIS Two review authors independently screened studies for inclusion, extracted data and assessed the risks of bias of included studies. We classified interventions according to the NOURISHING framework, and synthesised results narratively and conducted meta-analyses for two outcomes relating to two intervention types. We assessed our confidence in the certainty of effect estimates with the GRADE framework as very low, low, moderate or high, and presented 'Summary of findings' tables. MAIN RESULTS We identified 14,488 unique records, and assessed 1030 in full text for eligibility. We found 58 studies meeting our inclusion criteria, including 22 RCTs, 3 NRCTs, 14 CBA studies, and 19 ITS studies, with a total of 1,180,096 participants. The median length of follow-up was 10 months. The studies included children, teenagers and adults, and were implemented in a variety of settings, including schools, retailing and food service establishments. We judged most studies to be at high or unclear risk of bias in at least one domain, and most studies used non-randomised designs. The studies examine a broad range of interventions, and we present results for these separately.Labelling interventions (8 studies): We found moderate-certainty evidence that traffic-light labelling is associated with decreasing sales of SSBs, and low-certainty evidence that nutritional rating score labelling is associated with decreasing sales of SSBs. For menu-board calorie labelling reported effects on SSB sales varied.Nutrition standards in public institutions (16 studies): We found low-certainty evidence that reduced availability of SSBs in schools is associated with decreased SSB consumption. We found very low-certainty evidence that improved availability of drinking water in schools and school fruit programmes are associated with decreased SSB consumption. Reported associations between improved availability of drinking water in schools and student body weight varied.Economic tools (7 studies): We found moderate-certainty evidence that price increases on SSBs are associated with decreasing SSB sales. For price discounts on low-calorie beverages reported effects on SSB sales varied.Whole food supply interventions (3 studies): Reported associations between voluntary industry initiatives to improve the whole food supply and SSB sales varied.Retail and food service interventions (7 studies): We found low-certainty evidence that healthier default beverages in children's menus in chain restaurants are associated with decreasing SSB sales, and moderate-certainty evidence that in-store promotion of healthier beverages in supermarkets is associated with decreasing SSB sales. We found very low-certainty evidence that urban planning restrictions on new fast-food restaurants and restrictions on the number of stores selling SSBs in remote communities are associated with decreasing SSB sales. Reported associations between promotion of healthier beverages in vending machines and SSB intake or sales varied.Intersectoral approaches (8 studies): We found moderate-certainty evidence that government food benefit programmes with restrictions on purchasing SSBs are associated with decreased SSB intake. For unrestricted food benefit programmes reported effects varied. We found moderate-certainty evidence that multicomponent community campaigns focused on SSBs are associated with decreasing SSB sales. Reported associations between trade and investment liberalisation and SSB sales varied.Home-based interventions (7 studies): We found moderate-certainty evidence that improved availability of low-calorie beverages in the home environment is associated with decreased SSB intake, and high-certainty evidence that it is associated with decreased body weight among adolescents with overweight or obesity and a high baseline consumption of SSBs.Adverse outcomes reported by studies, which may occur in some circumstances, included negative effects on revenue, compensatory SSB consumption outside school when the availability of SSBs in schools is reduced, reduced milk intake, stakeholder discontent, and increased total energy content of grocery purchases with price discounts on low-calorie beverages, among others. The certainty of evidence on adverse outcomes was low to very low for most outcomes.We analysed interventions targeting sugar-sweetened milk separately, and found low- to moderate-certainty evidence that emoticon labelling and small prizes for the selection of healthier beverages in elementary school cafeterias are associated with decreased consumption of sugar-sweetened milk. We found low-certainty evidence that improved placement of plain milk in school cafeterias is not associated with decreasing sugar-sweetened milk consumption. AUTHORS' CONCLUSIONS The evidence included in this review indicates that effective, scalable interventions addressing SSB consumption at a population level exist. Implementation should be accompanied by high-quality evaluations using appropriate study designs, with a particular focus on the long-term effects of approaches suitable for large-scale implementation.
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Affiliation(s)
- Peter von Philipsborn
- Ludwig‐Maximilians‐University MunichInstitute for Medical Informatics, Biometry and Epidemiology, Pettenkofer School of Public HealthMarchioninistr. 15MunichBavariaGermany81377
| | - Jan M Stratil
- Ludwig‐Maximilians‐University MunichInstitute for Medical Informatics, Biometry and Epidemiology, Pettenkofer School of Public HealthMarchioninistr. 15MunichBavariaGermany81377
| | - Jacob Burns
- Ludwig‐Maximilians‐University MunichInstitute for Medical Informatics, Biometry and Epidemiology, Pettenkofer School of Public HealthMarchioninistr. 15MunichBavariaGermany81377
| | - Laura K Busert
- University College LondonGreat Ormond Street Institute of Child HealthLondonUK
| | - Lisa M Pfadenhauer
- Ludwig‐Maximilians‐University MunichInstitute for Medical Informatics, Biometry and Epidemiology, Pettenkofer School of Public HealthMarchioninistr. 15MunichBavariaGermany81377
| | - Stephanie Polus
- Ludwig‐Maximilians‐University MunichInstitute for Medical Informatics, Biometry and Epidemiology, Pettenkofer School of Public HealthMarchioninistr. 15MunichBavariaGermany81377
| | - Christina Holzapfel
- School of Medicine, Technical University of MunichInstitute of Nutritional Medicine, Else Kroener‐Fresenius Centre for Nutritional MedicineMunichGermany
| | - Hans Hauner
- School of Medicine, Technical University of MunichInstitute of Nutritional Medicine, Else Kroener‐Fresenius Centre for Nutritional MedicineMunichGermany
| | - Eva Rehfuess
- Ludwig‐Maximilians‐University MunichInstitute for Medical Informatics, Biometry and Epidemiology, Pettenkofer School of Public HealthMarchioninistr. 15MunichBavariaGermany81377
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Shakir RN, Coates AM, Olds T, Rowlands A, Tsiros MD. Not all sedentary behaviour is equal: Children's adiposity and sedentary behaviour volumes, patterns and types. Obes Res Clin Pract 2018; 12:506-512. [PMID: 30228035 DOI: 10.1016/j.orcp.2018.09.001] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Revised: 07/06/2018] [Accepted: 09/01/2018] [Indexed: 10/28/2022]
Abstract
OBJECTIVE The importance of different constructs of sedentary behaviours in relation to childhood obesity is uncertain. Thus, this study aimed to investigate relationships between volume, patterns and types of sedentary behaviour and adiposity in children. METHODS A case-control study was undertaken involving 234 children aged 10-13years who were either of a healthy-weight (74 boys, 56 girls) or classified as obese (56 boys, 48 girls). Percent body fat (by dual-energy X-ray absorptiometry) and waist-to-height ratio were assessed. Time, type (television, videogame, computer, eating, passive transport) and bout length of sedentary behaviours were measured using accelerometry and the Multimedia Activity Recall for Children and Adolescents. Time use (total daily energy expenditure, sleep, physical activity), age, household income and Tanner stage were covariates in sex-stratified partial least squares analyses. RESULTS Daily energy expenditure and income were negatively associated with adiposity for both sexes. Television time was consistently positively associated with adiposity. In boys only, prolonged bouts of sedentary behaviour and time spent playing video games/computer were positively linked with adiposity. Non-screen sedentary behaviour was negatively associated with adiposity in girls. Independent of total energy expenditure, total sedentary time was only inconsistently associated with fatness. CONCLUSIONS These data suggest that (1) characteristics of sedentary time other than duration are associated with adiposity in children, and (2) associations may be sex-specific.
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Affiliation(s)
- Rima N Shakir
- University of South Australia, Alliance for Research in Exercise, Nutrition and Activity (ARENA), School of Health Sciences, Sansom Institute for Health Research, City East Campus, GPO Box 2471, Adelaide, South Australia, 5001, Australia.
| | - Alison M Coates
- University of South Australia, Alliance for Research in Exercise, Nutrition and Activity (ARENA), School of Health Sciences, Sansom Institute for Health Research, City East Campus, GPO Box 2471, Adelaide, South Australia, 5001, Australia.
| | - Timothy Olds
- University of South Australia, Alliance for Research in Exercise, Nutrition and Activity (ARENA), School of Health Sciences, Sansom Institute for Health Research, City East Campus, GPO Box 2471, Adelaide, South Australia, 5001, Australia.
| | - Alex Rowlands
- University of South Australia, Alliance for Research in Exercise, Nutrition and Activity (ARENA), School of Health Sciences, Sansom Institute for Health Research, City East Campus, GPO Box 2471, Adelaide, South Australia, 5001, Australia; Diabetes Research Centre, University of Leicester, Leicester, United Kingdom; NIHR Biomedical Research Centre, Leicester, United Kingdom.
| | - Margarita D Tsiros
- University of South Australia, Alliance for Research in Exercise, Nutrition and Activity (ARENA), School of Health Sciences, Sansom Institute for Health Research, City East Campus, GPO Box 2471, Adelaide, South Australia, 5001, Australia.
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Consumption of ultra-processed foods and body fat during childhood and adolescence: a systematic review. Public Health Nutr 2017; 21:148-159. [DOI: 10.1017/s1368980017001331] [Citation(s) in RCA: 161] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
AbstractObjectiveTo review the available literature on the association between consumption of ultra-processed foods and body fat during childhood and adolescence.DesignA systematic review was conducted in the PubMed, Web of Science and LILACS databases. Studies that evaluated the association between consumption of ultra-processed food (exposure) and body fat (outcome) during childhood and adolescence were eligible.SubjectsHealthy children and adolescents.ResultsTwenty-six studies that evaluated groups of ultra-processed foods (such as snacks, fast foods, junk foods and convenience foods) or specific ultra-processed foods (soft drinks/sweetened beverages, sweets, chocolate and ready-to-eat cereals) were selected. Most of the studies (n15) had a cohort design. Consumption was generally evaluated by means of FFQ or food records; and body composition, by means of double indirect methods (bioelectrical impedance analysis and skinfolds). Most of the studies that evaluated consumption of groups of ultra-processed foods and soft drinks/sweetened beverages found positive associations with body fat.ConclusionsOur review showed that most studies have found positive associations between consumption of ultra-processed food and body fat during childhood and adolescence. There is a need to use a standardized classification that considers the level of food processing to promote comparability between studies.
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Inter-connected trends in cognitive aging and depression: Evidence from the health and retirement study. INTELLIGENCE 2017. [DOI: 10.1016/j.intell.2017.05.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Comparison of methods for the analysis of relatively simple mediation models. Contemp Clin Trials Commun 2017; 7:130-135. [PMID: 29696178 PMCID: PMC5898549 DOI: 10.1016/j.conctc.2017.06.005] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2017] [Revised: 06/19/2017] [Accepted: 06/20/2017] [Indexed: 11/30/2022] Open
Abstract
Background/aims Statistical mediation analysis is an often used method in trials, to unravel the pathways underlying the effect of an intervention on a particular outcome variable. Throughout the years, several methods have been proposed, such as ordinary least square (OLS) regression, structural equation modeling (SEM), and the potential outcomes framework. Most applied researchers do not know that these methods are mathematically equivalent when applied to mediation models with a continuous mediator and outcome variable. Therefore, the aim of this paper was to demonstrate the similarities between OLS regression, SEM, and the potential outcomes framework in three mediation models: 1) a crude model, 2) a confounder-adjusted model, and 3) a model with an interaction term for exposure-mediator interaction. Methods Secondary data analysis of a randomized controlled trial that included 546 schoolchildren. In our data example, the mediator and outcome variable were both continuous. We compared the estimates of the total, direct and indirect effects, proportion mediated, and 95% confidence intervals (CIs) for the indirect effect across OLS regression, SEM, and the potential outcomes framework. Results OLS regression, SEM, and the potential outcomes framework yielded the same effect estimates in the crude mediation model, the confounder-adjusted mediation model, and the mediation model with an interaction term for exposure-mediator interaction. Conclusions Since OLS regression, SEM, and the potential outcomes framework yield the same results in three mediation models with a continuous mediator and outcome variable, researchers can continue using the method that is most convenient to them.
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Efficacy of school-based interventions aimed at decreasing sugar-sweetened beverage consumption among adolescents: a systematic review. Public Health Nutr 2017; 20:2416-2431. [DOI: 10.1017/s1368980017000076] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
AbstractObjectiveTo verify the efficacy of school-based interventions aimed at reducing sugar-sweetened beverage (SSB) consumption among adolescents in order to develop or improve public health interventions.DesignSystematic review of interventions targeting adolescents and/or the school environment.SettingThe following databases were investigated: MEDLINE/PubMed, PsycINFO, CINAHL and EMBASE. Proquest Dissertations and Theses was also investigated for unpublished trials.SubjectsAdolescents were defined as individuals between the ages of 12 and 17 years.ResultsA total of thirty-six studies detailing thirty-six different interventions tested among independent samples (n152 001) were included in the review. Twenty interventions were classified as educational/behavioural and ten were classified as legislative/environmental interventions. Only six interventions targeted both individuals and their environment. Over 70 % of all interventions, regardless of whether they targeted individuals, their environment or both, were effective in decreasing SSB consumption. Legislative/environmental studies had the highest success rate (90·0 %). Educational/behavioural interventions only and interventions that combined educational/behavioural and legislative/environmental approaches were almost equally effective in reducing SSB consumption with success rates of 65·0 and 66·7 %, respectively. Among the interventions that had an educational/behavioural component, 61·5 % were theory-based. The behaviour change techniques most frequently used in interventions were providing information about the health consequences of performing the behaviour (72·2 %), restructuring the physical environment (47·2 %), behavioural goal setting (36·1 %), self-monitoring of behaviour (33·3 %), threat to health (30·6 %) and providing general social support (30·6 %).ConclusionsSchool-based interventions show promising results to reduce SSB consumption among adolescents. A number of recommendations are made to improve future studies.
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van Nassau F, Singh AS, Cerin E, Salmon J, van Mechelen W, Brug J, Chinapaw MJ. The Dutch Obesity Intervention in Teenagers (DOiT) cluster controlled implementation trial: intervention effects and mediators and moderators of adiposity and energy balance-related behaviours. Int J Behav Nutr Phys Act 2014; 11:158. [PMID: 25539582 PMCID: PMC4304621 DOI: 10.1186/s12966-014-0158-0] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2014] [Accepted: 12/10/2014] [Indexed: 11/21/2022] Open
Abstract
Background The Dutch Obesity Intervention in Teenagers (DOiT) programme is an evidence-based obesity prevention programme tailored to adolescents attending the first two years of prevocational education in the Netherlands. The initial programme showed promising results during an effectiveness trial. The programme was adapted and prepared for nationwide dissemination. To gain more insight into the process of translating evidence-based approaches into ‘real world’ (i.e., ‘natural’) conditions, our research aims were to evaluate the impact of the DOiT-implementation programme on adolescents’ adiposity and energy balance-related behaviours during natural dissemination and to explore the mediating and moderating factors underlying the DOiT intervention effects. Methods We conducted a cluster-controlled implementation trial with 20 voluntary intervention schools (n=1002 adolescents) and 9 comparable control schools (n = 484 adolescents). We measured adolescents’ body height and weight, skinfold thicknesses, and waist circumference. We assessed adolescents’ dietary and physical activity behaviours by means of self-report. Data were collected at baseline and at 20-months follow-up. We used multivariable multilevel linear or logistic regression analyses to evaluate the intervention effects and to test the hypothesised behavioural mediating factors. We checked for potential effect modification by gender, ethnicity and education level. Results We found no significant intervention effects on any of the adiposity measures or behavioural outcomes. Furthermore, we found no mediating effects by any of the hypothesised behavioural mediators. Stratified analyses for gender showed that the intervention was effective in reducing sugar-containing beverage consumption in girls (B = -188.2 ml/day; 95% CI = -344.0; -32.3). In boys, we found a significant positive intervention effect on breakfast frequency (B = 0.29 days/week; 95% CI = 0.01; 0.58). Stratified analyses for education level showed an adverse intervention effect (B = 0.09; 95% CI = 0.02; 0.16) on BMI z-scores for adolescents attending the vocational education track. Conclusions Although not successful in changing adolescents’ adiposity, the DOiT-implementation programme had some beneficial effects on specific obesity-related behaviours in subgroups. This study underlines the difficulty of translating intervention effectiveness in controlled settings to real world contexts. Adaptations to the implementation strategy are needed in order to promote implementation as intended by the teachers. Trial registration Current Controlled Trials ISRCTN92755979. Electronic supplementary material The online version of this article (doi:10.1186/s12966-014-0158-0) contains supplementary material, which is available to authorized users.
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