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Johnson BJ, Chadwick PM, Pryde S, Seidler AL, Hunter KE, Aberoumand M, Williams JG, Lau HI, Libesman S, Aagerup J, Barba A, Baur LA, Morgillo S, Sanders L, Taki S, Hesketh KD, Campbell K, Manson A, Hayes A, Webster A, Wood C, O'Connor DA, Matvienko-Sikar K, Robledo K, Askie L, Wolfenden L, Taylor R, Yin HS, Brown V, Fiks A, Ventura A, Ghaderi A, Taylor BJ, Stough C, Helle C, Palacios C, Perrin EM, Reifsnider E, Rasmussen F, Paul IM, Savage JS, Thomson J, Banna J, Larsen J, Joshipura K, Ong KK, Karssen L, Wen LM, Vitolo M, Røed M, Bryant M, Rivera MC, Messito MJ, Golova N, Øverby NC, Gross R, Lakshman R, Byrne R, Rothman RL, O'Reilly S, Anzman-Frasca S, Verbestel V, Maffeis C, de la Haye K, Salvy SJ, Mihrshahi S, Ramachandran J, Baratto PS, Golley RK. Behavioural components and delivery features of early childhood obesity prevention interventions: intervention coding of studies in the TOPCHILD Collaboration systematic review. Int J Behav Nutr Phys Act 2025; 22:14. [PMID: 39910407 PMCID: PMC11796048 DOI: 10.1186/s12966-025-01708-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Accepted: 01/11/2025] [Indexed: 02/07/2025] Open
Abstract
BACKGROUND Early childhood obesity prevention interventions that aim to change parent/caregiver practices related to infant (milk) feeding, food provision and parent feeding, movement (including activity, sedentary behaviour) and/or sleep health (i.e. target parental behaviour domains) are diverse and heterogeneously reported. We aimed to 1) systematically characterise the target behaviours, delivery features, and Behaviour Change Techniques (BCTs) used in interventions in the international Transforming Obesity Prevention for CHILDren (TOPCHILD) Collaboration, and 2) explore similarities and differences in BCTs used in interventions by target behaviour domains. METHODS Annual systematic searches were performed in MEDLINE, Embase, Cochrane (CENTRAL), CINAHL, PsycINFO, and two clinical trial registries, from inception to February 2023. Trialists from eligible randomised controlled trials of parent-focused, behavioural early obesity prevention interventions shared unpublished intervention materials. Standardised approaches were used to code target behaviours, delivery features and BCTs in both published and unpublished intervention materials. Validation meetings confirmed coding with trialists. Narrative syntheses were performed. RESULTS Thirty-two trials reporting 37 active intervention arms were included. Interventions targeted a range of behaviours. The most frequent combination was targeting all parental behaviour domains (infant [milk] feeding, food provision and parent feeding, movement, sleep health; n[intervention arms] = 15/37). Delivery features varied considerably. Most interventions were delivered by a health professional (n = 26/36), included facilitator training (n = 31/36), and were interactive (n = 28/36). Overall, 49 of 93 unique BCTs were coded to at least one target behaviour domain. The most frequently coded BCTs were: Instruction on how to perform a behaviour (n[intervention arms, separated by domain] = 102), Behavioural practice and rehearsal (n = 85), Information about health consequences (n = 85), Social support (unspecified) (n = 84), and Credible source (n = 77). Similar BCTs were often used for each target behaviour domain. CONCLUSIONS Our study provides the most comprehensive description of the behaviour change content of complex interventions targeting early childhood obesity prevention available to date. Our analysis revealed that interventions targeted multiple behaviour domains, with significant variation in delivery features. Despite the diverse range of BCTs coded, five BCTs were consistently identified across domains, though certain BCTs were more prevalent in specific domains. These findings can be used to examine effectiveness of components and inform intervention development and evaluation in future trials. TRIAL REGISTRATION PROSPERO registration no. CRD42020177408.
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Affiliation(s)
- Brittany J Johnson
- College of Nursing and Health Sciences, Flinders University, Caring Futures Institute, Adelaide, Australia.
| | - Paul M Chadwick
- Centre for Behaviour Change, University College London, London, UK
| | - Samantha Pryde
- College of Nursing and Health Sciences, Flinders University, Caring Futures Institute, Adelaide, Australia
| | - Anna Lene Seidler
- National Health and Medical Research Council (NHMRC) Clinical Trials Centre, University of Sydney, Camperdown, Australia
| | - Kylie E Hunter
- National Health and Medical Research Council (NHMRC) Clinical Trials Centre, University of Sydney, Camperdown, Australia
| | - Mason Aberoumand
- National Health and Medical Research Council (NHMRC) Clinical Trials Centre, University of Sydney, Camperdown, Australia
| | - Jonathan G Williams
- National Health and Medical Research Council (NHMRC) Clinical Trials Centre, University of Sydney, Camperdown, Australia
| | - Hei In Lau
- College of Nursing and Health Sciences, Flinders University, Caring Futures Institute, Adelaide, Australia
| | - Sol Libesman
- National Health and Medical Research Council (NHMRC) Clinical Trials Centre, University of Sydney, Camperdown, Australia
| | - Jannik Aagerup
- National Health and Medical Research Council (NHMRC) Clinical Trials Centre, University of Sydney, Camperdown, Australia
| | - Angie Barba
- National Health and Medical Research Council (NHMRC) Clinical Trials Centre, University of Sydney, Camperdown, Australia
| | - Louise A Baur
- Sydney Medical School, The University of Sydney, Camperdown, Australia
| | - Samantha Morgillo
- College of Nursing and Health Sciences, Flinders University, Caring Futures Institute, Adelaide, Australia
| | - Lee Sanders
- Pediatrics and Health Policy, Stanford University, Stanford, USA
| | - Sarah Taki
- Population Health Research and Evaluation Hub, Sydney Local Health District, Camperdown, Australia
- School of Public Health, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia
| | - Kylie D Hesketh
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Australia
| | - Karen Campbell
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Australia
| | - Alexandra Manson
- College of Nursing and Health Sciences, Flinders University, Caring Futures Institute, Adelaide, Australia
| | - Alison Hayes
- School of Public Health, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia
| | - Angela Webster
- National Health and Medical Research Council (NHMRC) Clinical Trials Centre, University of Sydney, Camperdown, Australia
| | - Charles Wood
- Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA
| | - Denise A O'Connor
- School of Public Health and Preventive Medicine, Monash University, Clayton, Australia
| | | | - Kristy Robledo
- National Health and Medical Research Council (NHMRC) Clinical Trials Centre, University of Sydney, Camperdown, Australia
| | - Lisa Askie
- National Health and Medical Research Council (NHMRC) Clinical Trials Centre, University of Sydney, Camperdown, Australia
| | - Luke Wolfenden
- School of Medicine and Public Health, The University of Newcastle, Newcastle, Australia
| | | | - H Shonna Yin
- Departments of Pediatrics and Population Health, NYU Grossman School of Medicine, New York, USA
| | - Vicki Brown
- Deakin Health Economics, Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Alexander Fiks
- Clinical Futures and Department of Pediatrics, Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA
| | - Alison Ventura
- Department of Kinesiology and Public Health, Bailey College of Science and Math, California Polytechnic State University, San Luis Obispo, USA
| | - Ata Ghaderi
- Department of Clinical Neuroscience, Division of Psychology, Karolinska Institutet, Solna, Sweden
| | | | - Cathleen Stough
- Department of Psychology, University of Cincinnati, Cincinnati, USA
| | - Christine Helle
- Department of Nutrition and Public Health, University of Agder, Kristiansand, Norway
| | - Cristina Palacios
- Department of Dietetics and Nutrition, Florida International University, Miami, USA
| | - Eliana M Perrin
- Department of Pediatrics, School of Medicine and School of Nursing, Johns Hopkins University, Baltimore, USA
| | | | - Finn Rasmussen
- Department of Global Public Health, Karolinska Institutet, Solna, Sweden
| | - Ian M Paul
- Penn State College of Medicine, Hershey, USA
| | - Jennifer S Savage
- The Center for Childhood Obesity Research, Department of Nutritional Sciences at The Pennsylvania State University, University Park, USA
| | - Jessica Thomson
- US Department of Agriculture, Agricultural Research Service, Maryland, USA
| | | | - Junilla Larsen
- Behavioural Science Institute, Radboud University, Nijmegen, the Netherlands
| | - Kaumudi Joshipura
- Harvard Chan School of Public Health, Ahmedabad University School of Public Health, Boston, USA
| | - Ken K Ong
- Medical Research Centre Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Levie Karssen
- Behavioural Science Institute, Radboud University, Nijmegen, the Netherlands
| | - Li Ming Wen
- Population Health Research and Evaluation Hub, Sydney Local Health District, Camperdown, Australia
- School of Public Health, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia
| | - Márcia Vitolo
- Medical Sciences Campus, University of Puetro Rico, San Juan, Puerto Rico
| | - Margrethe Røed
- Department of Nutrition and Public Health, University of Agder, Kristiansand, Norway
| | | | | | - Mary Jo Messito
- New York University Grossman School of Medicine, New York, USA
| | - Natalia Golova
- Hasbro Children's Hospital, Warren Alpert School of Medicine of Brown University, Providence, USA
| | - Nina Cecilie Øverby
- Department of Nutrition and Public Health, University of Agder, Kristiansand, Norway
| | - Rachel Gross
- Department of Pediatrics, Department of Population Health, NYU Grossman School of Medicine, New York, USA
| | - Rajalakshmi Lakshman
- Medical Research Centre Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Rebecca Byrne
- School of Exercise and Nutrition Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Australia
| | - Russell L Rothman
- Institute for Medicine and Public Health, Vanderbilt University Medical Center, Nashville, USA
| | - Sharleen O'Reilly
- School of Agriculture and Food Science, College of Health and Agricultural Sciences, University College Dublin, Dublin, Ireland
| | | | - Vera Verbestel
- Faculty of Health, Medicine and Life Sciences, Department of Health Promotion, Research Institute of Nutrition and Translational Research in Metabolism (NUTRIM) and Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands
| | - Claudio Maffeis
- Department of Surgery, Dentistry, Pediatrics, and Gynecology, University of Verona, Verona, Italy
| | - Kayla de la Haye
- Department of Preventive Medicine, University of Southern California, Los Angeles, USA
| | | | - Seema Mihrshahi
- Department of Health Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Macquarie Park, Australia
| | | | - Paola Seffrin Baratto
- Graduate Program in Pediatrics, Child and Adolescent Health, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil
| | - Rebecca K Golley
- College of Nursing and Health Sciences, Flinders University, Caring Futures Institute, Adelaide, Australia
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Cafarella P, Effing T, Chur-Hansen A. Identifying the active content of interventions targeting the psychological well-being of carers of people with motor neuron disease: A systematic review. Palliat Support Care 2024; 22:1469-1488. [PMID: 38826066 DOI: 10.1017/s1478951524000877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
OBJECTIVES The primary aim of this research was to use a taxonomy of behavior change techniques (BCTTv1) to identify, map, and describe the active components of intervention and comparator groups in studies evaluating the psychological well-being (PWB) of motor neuron disease (MND) carers. Secondary aims were to (a) identify absent active ingredients and (b) explore whether variability in the effectiveness of interventions targeting the PWB of MND carers could be better explained through improved characterization of the active content of these interventions. METHODS Mixed-methods systematic review based on Joanna Briggs Institute methodology for quantitative, qualitative, and mixed-methods reviews and Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Content-coding of interventions targeting the PWB of MND carers using BCTTv1 was conducted. RESULTS Sixteen manuscripts describing 14 studies were included. Forty-one of the possible 93 behavior change techniques (BCTs, 44%) were identified as active ingredients, while 52 BCTs (56%) were absent. BCTs were identified in all 14 intervention groups and 4 control groups. Four of the 16 overall BCTTv1 categories were absent. Eleven of the 14 studies demonstrated PWB benefits from their interventions. SIGNIFICANCE OF RESULTS Identified and absent BCTs and BCTTv1 categories were mapped for all study groups, enabling a transparent characterization of active intervention content associated with positive PWB outcomes. Directions to improve interventions in this nascent field of research included the investigation of relevant untested BCTs in this population and the management of reporting and methodological quality issues.
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Affiliation(s)
- Paul Cafarella
- School of Psychology, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
- Department of Respiratory Sleep Medicine and Ventilation, Flinders Medical Centre, Southern Adelaide Local Health Network, Bedford Park, SA, Australia
- College of Nursing and Health Sciences, Flinders University of South Australia, Bedford Park, SA, Australia
- College of Medicine and Public Health, Flinders University of South Australia, Bedford Park, SA, Australia
| | - Tanja Effing
- School of Psychology, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
- College of Medicine and Public Health, Flinders University of South Australia, Bedford Park, SA, Australia
| | - Anna Chur-Hansen
- School of Psychology, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
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Packard-Winkler M, Golding L, Tewodros T, Faerber E, Webb Girard A. Core Principles and Practices for the Design, Implementation, and Evaluation of Social and Behavior Change for Nutrition in Low- and Middle-Income Contexts with Special Applications for Nutrition-Sensitive Agriculture. Curr Dev Nutr 2024; 8:104414. [PMID: 39224137 PMCID: PMC11367532 DOI: 10.1016/j.cdnut.2024.104414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 07/05/2024] [Accepted: 07/09/2024] [Indexed: 09/04/2024] Open
Abstract
Background There is currently no cogent set of standards to guide the design, implementation and evaluation of nutrition social and behavior change (SBC), including for nutrition-sensitive agriculture (NSA). Objectives We aimed to capture, consolidate, and describe SBC core principles and practices (CPPs), reflecting professional consensus, and to offer programmatic examples that illustrate their application for NSA projects in low- and middle-income countries. Methods We conducted a narrative review following a 4-step iterative process to identify and describe SBC CPPs. We first reviewed general SBC frameworks and technical documents and developed a preliminary list of CPPs and their definitions. Following review and feedback from 8 content experts, we revised the CPPs, incorporating the panel's feedback, and conducted a more specific search of the peer-reviewed and gray literature. We presented a revised draft of the CPPs to 26 NSA researchers, practitioners, and implementers at the 2022 Agriculture, Nutrition and Health Academy annual conference. We then conducted a focused review of each CPP, and 3 content experts rereviewed the final draft. Results We reviewed ∼475 documents and resources resulting in a set of 4 core principles: 1) following a systematic, strategic method in designing, implementing, and evaluating SBC activities; 2) ensuring design and implementation are evidence-based; 3) grounding design and implementation in theory; and 4) authentically engaging communities. Additionally, we identified 11 core practices and mapped these to the different stages in the SBC design, implementation, and evaluation cycle. Detailed descriptions, illustrative examples and resources for implementation are provided for each CPP. Conclusions An explicit set of CPPs for SBC can serve as a guide for design, research, implementation, and evaluation of nutrition and NSA programs; help standardize knowledge sharing and production; and contribute to improved quality of implementation. Broader consultation with SBC practitioners and researchers will further consensus on this work.
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Affiliation(s)
| | - Lenette Golding
- Save the Children U.S., Department of Global Health, Washington, DC, United States
| | - Tsedenia Tewodros
- Hubert Department of Global Health, Rollins School of Public Health at Emory University, Atlanta, GA, United States
| | - Emily Faerber
- Dietetics and Nutrition Department, College of Health, University of Alaska Anchorage, Anchorage, AK, United States
| | - Amy Webb Girard
- Hubert Department of Global Health, Rollins School of Public Health at Emory University, Atlanta, GA, United States
- Nutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, GA, United States
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4
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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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Yudkin JS, Koym K, Hamad Y, Malthaner LQ, Burgess RM, Ortiz LN, Dhurjati N, Mitha S, Calvi G, Hill K, Brownell M, Wei E, Swartz K, Atem FD, Galeener CA, Messiah SE, Barlow SE, Allicock MA. Family-based pediatric weight management interventions in US primary care settings targeting children ages 6-12 years old: A systematic review guided by the RE-AIM framework. Transl Behav Med 2024; 14:34-44. [PMID: 37632769 DOI: 10.1093/tbm/ibad051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/28/2023] Open
Abstract
Obesity is a pandemic that disproportionately affects children from vulnerable populations in the USA. Current treatment approaches in primary care settings in the USA have been reported to be insufficient at managing pediatric obesity, primarily due to implementation challenges for healthcare systems and barriers for families. While the literature has examined the efficacy of pediatric obesity interventions focused on internal validity, it lacks sufficient reporting and analysis of external validity necessary for successful translation to primary care settings. We conducted a systematic review of the primary-care-setting literature from January 2007 to March 2020 on family-based pediatric weight management interventions in both English and/or Spanish for children ages 6-12 years in the USA using the Reach, Efficacy/Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework. A literature search, using PRISMA guidelines, was conducted in January 2022 using the following electronic databases: Medline Ovid, Embase, and Cochrane Library. 22 270 records were screened, and 376 articles were reviewed in full. 184 studies were included. The most commonly reported dimensions of the RE-AIM framework were Reach (65%), Efficacy/Effectiveness (64%), and Adoption (64%), while Implementation (47%) and Maintenance (42%) were less often reported. The prevalence of reporting RE-AIM construct indicators ranged greatly, from 1% to 100%. This systematic review underscores the need for more focus on external validity to guide the development, implementation, and dissemination of future pediatric obesity interventions based in primary care settings. It also suggests conducting additional research on sustainable financing for pediatric obesity interventions.
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Affiliation(s)
- Joshua S Yudkin
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
| | - Kelsey Koym
- Texas Medical Center Library, Houston, TX, USA
| | - Yasmin Hamad
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
| | - Lauren Q Malthaner
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
| | - Rebecca Meredith Burgess
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
| | | | - Nalini Dhurjati
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
| | - Sharmin Mitha
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
| | - Gabriela Calvi
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
| | - Kristina Hill
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
- Children's Health, Children's Medical Center Dallas, Dallas, TX, USA
- Center for Pediatric Population Health, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
| | | | - Elena Wei
- Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - Kyle Swartz
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
| | - Folefac D Atem
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
| | - Carol A Galeener
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
| | - Sarah E Messiah
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
- Center for Pediatric Population Health, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
| | - Sarah E Barlow
- Children's Health, Children's Medical Center Dallas, Dallas, TX, USA
- Department of Pediatrics, Division of Pediatric Gastroenterology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Marlyn A Allicock
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA
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6
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Marshall S, Johnson BJ, Hesketh KD, Campbell KJ, Fraser K, Love P, Denney-Wilson E, Salmon J, McCallum Z, Laws R. Mapping intervention components from a randomized controlled trial to scale-up of an early life nutrition and movement intervention: The INFANT program. Front Public Health 2023; 10:1026856. [PMID: 36711339 PMCID: PMC9880042 DOI: 10.3389/fpubh.2022.1026856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 12/15/2022] [Indexed: 01/15/2023] Open
Abstract
Introduction Early life parent-focused interventions can effectively improve infant and child nutrition and movement (physical activity and sedentary behavior) as well as parents' health behaviors. Scale-up of such interventions to real-world settings is essential for population-wide benefits. When progressing to scale-up, intervention components may be modified to reflect contextual factors and promote feasibility of scale-up. The INFANT program, an efficacious early life nutrition and movement behavioral intervention began as a randomized controlled trial (RCT), was modified after a small-scale translation, and is currently being scaled-up in Victoria, Australia. This study mapped and compared discrete intervention components of both the original RCT and the scaled-up version of INFANT to examine modifications for scaling up. Methods Discrete intervention components, specifically the target behaviors (child-related and parent-related behaviors), delivery features and behavior change techniques (BCTs) from the RCT and the scaled-up program were coded and mapped using established frameworks and taxonomies. Publications and unpublished materials (e.g., facilitator notes, handouts, videos, app) were coded. Coding was performed independently in duplicate, with final coding validated in a meeting with interventionists. Interventionists reported the rationale for modifications made. Results The INFANT RCT and scaled-up version targeted the same obesity prevention-related nutrition and movement behaviors. Key modified delivery features at scale-up included reduced number of sessions, a broader range of professionals facilitating groups, the addition of a mobile app for parents replacing hard-copy materials and tangible tools (e.g., pedometers), and broadening of content (e.g., early feeding, updated 24-h movement guidelines). BCTs used across the RCT and scale-up sessions were unchanged. However, the BCTs identified in the between-session support materials were almost double for the scale-up compared with the RCT, primarily due to the reduced number of sessions and the app's capacity to include more content. Conclusions INFANT is one of few early life nutrition and movement behavioral interventions being delivered at scale. With INFANT as an example, this study provides critical understanding about what and why intervention components were altered as the RCT was scaled-up. Unpacking these intervention modifications provides important insights for scale-up feasibility, outcome effects, and how to optimize implementation strategies for population-level benefits.
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Affiliation(s)
- Sarah Marshall
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Science, Deakin University, Geelong, VIC, Australia
| | - Brittany J. Johnson
- Transforming Obesity Prevention in CHILDren (TOPCHILD) Collaboration, Sydney, NSW, Australia
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, SA, Australia
- NHMRC Centre of Research Excellence in Translating Early Prevention of Obesity in Childhood (EPOCH-Translate CRE), Sydney, NSW, Australia
| | - Kylie D. Hesketh
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Science, Deakin University, Geelong, VIC, Australia
- NHMRC Centre of Research Excellence in Translating Early Prevention of Obesity in Childhood (EPOCH-Translate CRE), Sydney, NSW, Australia
| | - Karen J. Campbell
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Science, Deakin University, Geelong, VIC, Australia
- NHMRC Centre of Research Excellence in Translating Early Prevention of Obesity in Childhood (EPOCH-Translate CRE), Sydney, NSW, Australia
| | - Kylie Fraser
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Science, Deakin University, Geelong, VIC, Australia
| | - Penelope Love
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Science, Deakin University, Geelong, VIC, Australia
- NHMRC Centre of Research Excellence in Translating Early Prevention of Obesity in Childhood (EPOCH-Translate CRE), Sydney, NSW, Australia
| | - Elizabeth Denney-Wilson
- NHMRC Centre of Research Excellence in Translating Early Prevention of Obesity in Childhood (EPOCH-Translate CRE), Sydney, NSW, Australia
- Sydney Nursing School, Faculty of Medicine and Health, University of Sydney and Sydney Local Health District, Sydney, NSW, Australia
| | - Jo Salmon
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Science, Deakin University, Geelong, VIC, Australia
| | - Zoe McCallum
- Department of Paediatrics, Melbourne Medical School, University of Melbourne, Melbourne, VIC, Australia
| | - Rachel Laws
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Science, Deakin University, Geelong, VIC, Australia
- NHMRC Centre of Research Excellence in Translating Early Prevention of Obesity in Childhood (EPOCH-Translate CRE), Sydney, NSW, Australia
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Chakraborty D, Bailey BA, Seidler AL, Yoong S, Hunter KE, Hodder RK, Webster AC, Johnson BJ. Exploring the application of behaviour change technique taxonomies in childhood obesity prevention interventions: A systematic scoping review. Prev Med Rep 2022; 29:101928. [PMID: 35928597 PMCID: PMC9344347 DOI: 10.1016/j.pmedr.2022.101928] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 06/24/2022] [Accepted: 07/18/2022] [Indexed: 11/25/2022] Open
Abstract
Behaviour change technique (BCT) taxonomies provide one approach to unpack the complexity of childhood obesity prevention interventions. This scoping review sought to examine how BCT taxonomies have been applied to understand childhood obesity prevention interventions targeting children aged 12 years or under and/or their caregivers. A systematic search was conducted in Medline, Embase, PsycINFO, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, CINAHL and PROSPERO, to capture all eligible research up to February 2021. No limits were placed on country, language, publication dates, or full text availability. Eligible studies included any study design that applied a BCT taxonomy and evaluated behavioural childhood obesity prevention interventions targeting children aged 12 years or under and/or their parents or caregivers. Sixty-three records, describing 54 discrete studies were included; 32 applied a BCT taxonomy prospectively (i.e., to design interventions) and 23 retrospectively (i.e., to assess interventions), 1 study did both. There was substantial variation in the methods used to apply BCT taxonomies and to report BCT-related methods and results. There was a paucity of detail reported in how BCTs were selected in studies applying BCT taxonomies prospectively. Our review provides important insight into the application of BCT taxonomies in childhood obesity prevention and several ongoing challenges, pointing to the need for best practice reporting guidance.
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Affiliation(s)
- Debapriya Chakraborty
- National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Camperdown, NSW, Australia
| | - Bronwyn A. Bailey
- National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Camperdown, NSW, Australia
| | - Anna Lene Seidler
- National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Camperdown, NSW, Australia
- TOPCHILD Collaboration, University of Sydney, Camperdown, NSW, Australia
| | - Serene Yoong
- Swinburne University of Technology, Hawthorn, VIC, Australia
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
- Hunter New England Population Health, Wallsend, NSW, Australia
| | - Kylie E. Hunter
- National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Camperdown, NSW, Australia
- TOPCHILD Collaboration, University of Sydney, Camperdown, NSW, Australia
| | - Rebecca K. Hodder
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
- Hunter New England Population Health, Wallsend, NSW, Australia
- National Centre of Implementation Science, The University of Newcastle, Newcastle, NSW, Australia
| | - Angela C. Webster
- National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Camperdown, NSW, Australia
- School of Public Health, University of Sydney, Camperdown, NSW, Australia
| | - Brittany J. Johnson
- TOPCHILD Collaboration, University of Sydney, Camperdown, NSW, Australia
- Caring Futures Institute, Flinders University, Adelaide, SA, Australia
- College of Nursing and Health Sciences, Flinders University, Adelaide, SA, Australia
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Poulsen MN, Hosterman JF, Wood GC, Cook A, Wright L, Jamieson ST, Naylor A, Lutcher S, Mowery J, Seiler CJ, Welk GJ, Bailey-Davis L. Family-Based Telehealth Initiative to Improve Nutrition and Physical Activity for Children With Obesity and Its Utility During COVID-19: A Mixed Methods Evaluation. Front Nutr 2022; 9:932514. [PMID: 35898708 PMCID: PMC9309788 DOI: 10.3389/fnut.2022.932514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 06/22/2022] [Indexed: 11/13/2022] Open
Abstract
Guidelines recommend primary care providers refer children with obesity to behavioral interventions, but given limited program availability, access, and parental engagement, referrals remain rare. We developed telehealth coaching interventions for families whose children received care at a health system in Pennsylvania, United States in 2019-2020. Intervention referrals were facilitated by the pediatrician and/or project team for 6–12-year-old children with obesity following well-child visits. Participants chose one of three 26-week interventions focused on healthy eating, physical activity, or a hybrid clinical/nutrition intervention. Interventions engaged parents as change agents, enhancing self-efficacy to model and reinforce behavior and providing resources to help create a healthy home environment. We enrolled 77 of 183 eligible parent/child dyads. We used mixed methods to evaluate the interventions. Repeated measures models among participants showed significant reductions in obesogenic nutrition behaviors post-intervention and at 1-year follow-up, including a reduction in sugar-sweetened beverage intake of 2.14 servings/week (95% confidence interval: −3.45, −0.82). There were also improvements in obesoprotective nutrition behaviors (e.g., frequency of family meals, parental self-efficacy related to meal management). One year post-baseline, we observed no significant differences in changes in body mass index (BMI) z-scores comparing child participants with matched controls. Given potential impacts of COVID-19 community restrictions on study outcomes, we conducted qualitative interviews with 13 participants during restrictions, which exemplified how disrupted routines constrained children’s healthy behaviors but that intervention participation prepared parents by providing cooking and physical activities at home. Findings support the potential of a telehealth-delivered nutrition intervention to support adoption of healthy weight behaviors.
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Affiliation(s)
- Melissa N. Poulsen
- Department of Population Health Sciences, Geisinger, Danville, PA, United States
- *Correspondence: Melissa N. Poulsen,
| | | | - G. Craig Wood
- Obesity Institute, Geisinger, Danville, PA, United States
| | - Adam Cook
- Obesity Institute, Geisinger, Danville, PA, United States
| | - Lyndell Wright
- Obesity Institute, Geisinger, Danville, PA, United States
| | | | - Allison Naylor
- Obesity Institute, Geisinger, Danville, PA, United States
| | | | - Jacob Mowery
- Obesity Institute, Geisinger, Danville, PA, United States
| | | | - Gregory J. Welk
- Department of Kinesiology, Iowa State University, Ames, IA, United States
| | - Lisa Bailey-Davis
- Department of Population Health Sciences, Geisinger, Danville, PA, United States
- Obesity Institute, Geisinger, Danville, PA, United States
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9
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Thaker VV, Osganian SK, deFerranti SD, Sonneville KR, Cheng JK, Feldman HA, Richmond TK. Psychosocial, behavioral and clinical correlates of children with overweight and obesity. BMC Pediatr 2020; 20:291. [PMID: 32522176 PMCID: PMC7285533 DOI: 10.1186/s12887-020-02145-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Accepted: 05/14/2020] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Psychological and behavioral correlates are considered important in the development and persistence of obesity in both adults and youth. This study aimed to identify such features in youth with severe obesity (BMI ≥ 120% of 95thpercentile of sex-specific BMI-for-age) compared to those with overweight or non-severe obesity. METHODS Youth with BMI ≥ 85th percentile were invited to participate in a prospective research registry where data was collected on attributes such as family characteristics, eating behaviors, dietary intake, physical activity, perception of health and mental well-being, and cardiometabolic parameters. RESULTS In a racially/ethnically diverse cohort of 105 youth (65% female, median age 16.1 years, range 4.62-25.5), 51% had severe obesity. The body fat percent increased with the higher levels of obesity. There were no differences in the self-reported frequency of intake of sugar sweetened beverages or fresh produce across the weight categories. However, the participants with severe obesity reported higher levels of emotional eating and eating when bored (p = 0.022), levels of stress (p = 0.013), engaged in fewer sports or organized activities (p = 0.044), and had suboptimal perception of health (p = 0.053). Asthma, depression and obstructive sleep apnea were more frequently reported in youth with severe obesity. The presence of abnormal HDL-C, HOMA-IR, hs-CRP and multiple cardiometabolic risk factors were more common among youth with severe obesity. CONCLUSIONS Youth with severe obesity have identifiable differences in psychosocial and behavioral attributes that can be used to develop targeted intervention strategies to improve their health.
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Affiliation(s)
- Vidhu V Thaker
- Division of Molecular Genetics, Department of Pediatrics, Columbia University Irving Medical Center, 1150, St. Nicholas Avenue, New York, NY, 10032, USA.
| | - Stavroula K Osganian
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Sarah D deFerranti
- Division of Ambulatory Cardiology, Deparment of Cardiology, Boston Children's Hospital, Boston, MA, 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, 02115, USA
| | | | - Jennifer K Cheng
- Department of Pediatrics, Harvard Medical School, Boston, MA, 02115, USA
- Division of Primary Care, Boston Children's Hospital, Boston, MA, 02115, USA
| | - Henry A Feldman
- Institutional Centers for Clinical and Translational Research, Boston Children's Hospital, Boston, MA, 02115, USA
| | - Tracy K Richmond
- Department of Pediatrics, Harvard Medical School, Boston, MA, 02115, USA
- Division of Adolescent/Young Adult Medicine, Boston Children's Hospital, Boston, MA, 02115, USA
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