1. Transforming Obesity Prevention for CHILDren (TOPCHILD) Collaboration: protocol for a systematic review with individual participant data meta-analysis of behavioural interventions for the prevention of early childhood obesity
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Finn Rasmussen, Hein Raat, Cristina Palacios, Barry J Taylor, Lisa Askie, Alison Hayes, Cindy-Lee Dennis, Karen Campbell, Wendy Smith, Luke Wolfenden, Sharleen O’Reilly, Eva Corpeleijn, Maria Bryant, Chris Rissel, Denise O’Connor, Paul Chadwick, Jessica Thomson, Anna Lene Seidler, Kylie E Hunter, Rachael W Taylor, Angie Barba, Kristy Robledo, Ken Ong, Carolina González Acero, Ana Pérez-Expósito, Kylie D Hesketh, Rebecca K Golley, David Espinoza, Ken K Ong, Sarah Taki, Rachael Taylor, Louise A Baur, Li Ming Wen, Seema Mihrshahi, Emily Oken, Barry Taylor, Ian Marschner, Junilla K Larsen, Kylie Hesketh, Rajalakshmi Lakshman, Amanda L Thompson, Sharleen L O'Reilly, Jonathan Williams, Charles Wood, Alison J Hayes, Kaumudi Joshipura, Hongping Xia, Lynne Daniels, Rebecca Byrne, Alison Karasz, Rebecca Golley, Kaumudi J Joshipura, Angela Webster, Nina Cecilie Øverby, Brittany J Johnson, Mason Aberoumand, Sol Libesman, Kristy P Robledo, Charles T Wood, Lukas P Staub, Michelle Sue-See, Ian C Marschner, Jessica L Thomson, Vera Verbestel, Sarah-Jeanne Salvy, Levie T Karssen, Finn E Rasmussen, Mary Jo Messito, Rachel S Gross, Ian M Paul, Heather M Wasser, Claudio Maffeis, Ata Ghaderi, Jinan C Banna, Maribel Campos Rivera, Ana B Pérez-Expósito, Jennifer S Savage, Margrethe Røed, Michael Goran, Kayla de la Haye, Stephanie Anzman-Frasca, Kylie Hunter, Brittany Johnson, Louise Baur, Lukas Staub, Shonna Yin, Lee Sanders, Amanda Thompson, Ana Maria Linares, Cathleen Odar Stough, Christine Helle, Eliana Perrin, Heather Wasser, Jinan Banna, Kayla dela Haye, Levie Karssen, Nina Øverby, Rachel Gross, Russell Rothman, Wendy A Smith, Alexander Fiks, Deborah Jacobvitz, Jennifer Savage Williams, Márcia Regina Vitolo, Elizabeth Widen, Hunter, Kylie E [0000-0002-2796-9220], Johnson, Brittany J [0000-0001-5492-9219], O'Connor, Denise A [0000-0002-6836-122X], Hesketh, Kylie D [0000-0002-2702-7110], Ong, Kenneth [0000-0003-4689-7530], Øverby, Nina Cecilie [0000-0002-1871-041X], Seidler, Anna Lene [0000-0002-0027-1623], and Apollo - University of Cambridge Repository
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Gerontology ,obesity ,Pediatric Obesity ,MEDLINE ,Psychological intervention ,CINAHL ,PsycINFO ,preventive medicine ,Childhood obesity ,Body Mass Index ,paediatrics ,Meta-Analysis as Topic ,Behavior Therapy ,Medicine and Health Sciences ,medicine ,Humans ,Early childhood ,Prospective Studies ,Child ,Exercise ,ASSOCIATIONS ,Research ethics ,OVERWEIGHT ,business.industry ,public health ,Infant ,General Medicine ,medicine.disease ,RANDOMIZED-TRIALS ,BODY-MASS INDEX ,000 DAYS ,PHYSICAL-ACTIVITY ,Meta-analysis ,Child, Preschool ,RISK-FACTORS ,1114 Paediatrics and Reproductive Medicine ,Medicine ,WEIGHT ,HEALTH ,TRAJECTORIES ,business ,1ST 1 ,Developmental Psychopathology ,community child health ,Systematic Reviews as Topic - Abstract
IntroductionBehavioural interventions in early life appear to show some effect in reducing childhood overweight and obesity. However, uncertainty remains regarding their overall effectiveness, and whether effectiveness differs among key subgroups. These evidence gaps have prompted an increase in very early childhood obesity prevention trials worldwide. Combining the individual participant data (IPD) from these trials will enhance statistical power to determine overall effectiveness and enable examination of intervention-covariate interactions. We present a protocol for a systematic review with IPD meta-analysis to evaluate the effectiveness of obesity prevention interventions commencing antenatally or in the first year after birth, and to explore whether there are differential effects among key subgroups.Methods and analysisSystematic searches of Medline, Embase, CENTRAL, CINAHL, PsycInfo, and trial registries for all ongoing and completed randomised controlled trials evaluating behavioural interventions for the prevention of early childhood obesity have been completed up to March 2020 and will be updated annually to include additional trials. Eligible trialists will be asked to share their IPD; if unavailable, aggregate data will be used where possible. An IPD meta-analysis and a nested prospective meta-analysis (PMA) will be performed using methodologies recommended by the Cochrane Collaboration. The primary outcome will be body mass index (BMI) z-score at age 24 +/- 6 months using World Health Organisation Growth Standards, and effect differences will be explored among pre-specified individual and trial-level subgroups. Secondary outcomes include other child weight-related measures, infant feeding, dietary intake, physical activity, sedentary behaviours, sleep, parenting measures and adverse events.Ethics and disseminationApproved by The University of Sydney Human Research Ethics Committee (2020/273) and Flinders University Social and Behavioural Research Ethics Committee (project no. HREC CIA2133-1). Results will be relevant to clinicians, child health services, researchers, policy-makers and families, and will be disseminated via publications, presentations, and media releases.RegistrationProspectively registered on PROSPERO: CRD42020177408STRENGTHS AND LIMITATIONS OF THIS STUDYThis will be the largest individual participant data (IPD) meta-analysis evaluating behavioural interventions for the prevention of early childhood obesity to date, and will provide the most reliable and precise estimates of early intervention effects to inform future decision-making.IPD meta-analysis methodology will enable unprecedented exploration of important individual and trial-level characteristics that may be associated with childhood obesity or that may be effect modifiers.The proposed innovative methodologies are feasible and have been successfully piloted by members of our group.It may not be possible to obtain IPD from all eligible trials; in this instance, aggregate data will be used where available, and sensitivity analyses will be conducted to assess inclusion bias.Outcome measures may be collected and reported differently across included trials, potentially increasing imprecision; however, we will harmonise available data where possible, and encourage those planning or conducting ongoing trials to collect common core outcomes following prospective meta-analysis methodology.
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- 2022