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Sliwa SA, Hawkins GT, Lee SM, Hunt H. A Whole School, Whole Community, Whole Child Approach to Support Student Physical Activity and Nutrition: Introduction/Methods. THE JOURNAL OF SCHOOL HEALTH 2023; 93:750-761. [PMID: 37670601 PMCID: PMC11181341 DOI: 10.1111/josh.13374] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 05/24/2023] [Accepted: 06/22/2023] [Indexed: 09/07/2023]
Abstract
BACKGROUND We introduce the Whole School, Whole Community, Whole Child approach to supporting student and school staff physical activity and nutrition and describe the methods used to generate the evidence synthesized across the special issue articles. METHODS A 2-phase literature review search included a search of systematic reviews (2010-2018) for individual qualifying articles (Phase 1) and a search for individual articles on topics not addressed by a review (2010-2020) or that needed an update because they were in a review that was older (2010-2016) or showed insufficient evidence (Phase 2). Research librarians developed search strategies. In each phase, pairs of subject matter experts applied criteria to review abstracts and full-text articles and extracted data using standardized forms. We included 314 articles, describing 293 studies. FINDINGS Most of the included studies looked at elementary or secondary school level interventions; 51% were rated poor quality, and few took place in a rural setting. IMPLICATIONS FOR SCHOOL HEALTH POLICY, PRACTICE, AND EQUITY Most of the identified studies engaged majority minority or racially/ethnically diverse schools, suggesting that these interventions are feasible in a variety of settings. CONCLUSIONS This collection of 10 articles identifies evidence-based interventions, gaps in research, and implications for health equity.
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Affiliation(s)
- Sarah A Sliwa
- Division of Population Health, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Atlanta, GA
| | - Georgianne Tiu Hawkins
- Division of Population Health, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Atlanta, GA
| | - Sarah M Lee
- Division of Population Health, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Atlanta, GA
| | - Holly Hunt
- Division of Population Health, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Atlanta, GA
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Higa DH, Crepaz N, Mullins MM, Adegbite-Johnson A, Gunn JKL, Denard C, Mizuno Y. Strategies to improve HIV care outcomes for people with HIV who are out of care. AIDS 2022; 36:853-862. [PMID: 35025818 PMCID: PMC10167711 DOI: 10.1097/qad.0000000000003172] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
OBJECTIVE The aim of this study was to evaluate the effectiveness of five intervention strategies: patient navigation, appointment help/alerts, psychosocial support, transportation/appointment accompaniment, and data-to-care on HIV care outcomes among persons with HIV (PWH) who are out of care (OOC). DESIGN A systematic review with meta-analysis. METHODS We searched CDC's Prevention Research Synthesis (PRS) Project's cumulative HIV database to identify intervention studies conducted in the U.S., published between 2000 and 2020 that included comparisons between groups or prepost, and reported at least one relevant outcome (i.e. re-engagement or retention in HIV care, and viral suppression). Effect sizes were meta-analyzed using random-effect models to assess intervention effectiveness. RESULTS Thirty-nine studies reporting on 42 unique interventions met the inclusion criteria. Overall, intervention strategies are effective in improving re-engagement in care [odds ratio (OR) = 1.79;95% confidence interval (95% CI): 1.36-2.36, k = 14], retention in care (OR = 2.01; 95% CI: 1.64-2.64, k = 22), and viral suppression (OR = 2.50;95% CI: 1.87-3.34, k = 27). Patient navigation, appointment help/alerts, psychosocial support, and transportation/appointment accompaniment improved all three HIV care outcomes. Data-to-care improved re-engagement and retention but had insufficient evidence for viral suppression. CONCLUSION Several strategies are effective for improving HIV care outcomes among PWH who are OOC. More work is still needed for consistent definitions of OOC and HIV care outcomes, better reporting of intervention and cost data, and identifying how best to implement and scale-up effective strategies to engage and retain OOC PWH in care and reach the ending the HIV epidemic goals.
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Affiliation(s)
- Darrel H Higa
- Division of HIV Prevention, Centers for Disease Control and Prevention
| | - Nicole Crepaz
- Division of HIV Prevention, Centers for Disease Control and Prevention
| | - Mary M Mullins
- Division of HIV Prevention, Centers for Disease Control and Prevention
| | | | - Jayleen K L Gunn
- Division of HIV Prevention, Centers for Disease Control and Prevention
- U.S. Public Health Service
| | | | - Yuko Mizuno
- Division of HIV Prevention, Centers for Disease Control and Prevention
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Brown V, Moodie M, Tran HNQ, Sultana M, Hunter KE, Byrne R, Zarnowiecki D, Seidler AL, Golley R, Taylor R, Hesketh KD, Matvienko-Sikar K. Protocol for the development of Core Outcome Sets for Early intervention trials to Prevent Obesity in CHildren (COS-EPOCH). BMJ Open 2021; 11:e048104. [PMID: 34301658 PMCID: PMC8728369 DOI: 10.1136/bmjopen-2020-048104] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 06/21/2021] [Indexed: 11/16/2022] Open
Abstract
INTRODUCTION Childhood overweight and obesity is prevalent in the first 5 years of life, and can result in significant health and economic consequences over the lifetime. The outcomes currently measured and reported in randomised controlled trials of early childhood obesity prevention interventions to reduce this burden of obesity are heterogeneous, and measured in a variety of ways. This variability limits the comparability of findings between studies, and contributes to research waste. This protocol presents the methodology for the development of two core outcome sets (COS) for obesity prevention interventions in children aged from 1 to 5 years from a singular development process: (1) a COS for interventions targeting physical activity and sedentary behaviour and (2) a COS for interventions targeting child feeding and dietary intake. Core outcomes related to physical activity and sedentary behaviour in children aged ≤1 year will also be identified to complement an existing COS for early feeding interventions, and provide a broader set of core outcomes in this age range. This will result in a suite of COS useful for measuring and reporting outcomes in early childhood obesity prevention studies, including multicomponent interventions. METHODS AND ANALYSIS Development of the COS will follow international best practice guidelines. A scoping review of trial registries will identify commonly reported outcomes and associated measurement instruments. Key stakeholders involved in obesity prevention, including policy-makers/funders, parents, researchers, health practitioners and community and organisational stakeholders will participate in an e-Delphi study and consensus meeting regarding inclusion of outcomes in the COS. Finally, recommended outcome measure instruments will be identified through literature review and group consensus. ETHICS AND DISSEMINATION Deakin University Human Research Ethics Committee (HEAG-H 231_2020). The COS will be disseminated through peer-reviewed publications and engagement with key stakeholders.
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Affiliation(s)
- Vicki Brown
- Deakin Health Economics, Institute for Health Transformation, Global Obesity Centre (GLOBE), School of Health and Social Development, Deakin University, Geelong, Victoria, Australia
- Centre for Research Excellence in the Early Prevention of Obesity in Childhood, University of Sydney, Sydney, New South Wales, Australia
| | - Marj Moodie
- Deakin Health Economics, Institute for Health Transformation, Global Obesity Centre (GLOBE), School of Health and Social Development, Deakin University, Geelong, Victoria, Australia
- Centre for Research Excellence in the Early Prevention of Obesity in Childhood, University of Sydney, Sydney, New South Wales, Australia
| | - Huong Ngoc Quynh Tran
- Deakin Health Economics, Institute for Health Transformation, Global Obesity Centre (GLOBE), School of Health and Social Development, Deakin University, Geelong, Victoria, Australia
- Centre for Research Excellence in the Early Prevention of Obesity in Childhood, University of Sydney, Sydney, New South Wales, Australia
| | - Marufa Sultana
- Deakin Health Economics, Institute for Health Transformation, Global Obesity Centre (GLOBE), School of Health and Social Development, Deakin University, Geelong, Victoria, Australia
| | - Kylie Elizabeth Hunter
- Centre for Research Excellence in the Early Prevention of Obesity in Childhood, University of Sydney, Sydney, New South Wales, Australia
- NHMRC Clinical Trials Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Rebecca Byrne
- Centre for Research Excellence in the Early Prevention of Obesity in Childhood, University of Sydney, Sydney, New South Wales, Australia
- School of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Dorota Zarnowiecki
- Centre for Research Excellence in the Early Prevention of Obesity in Childhood, University of Sydney, Sydney, New South Wales, Australia
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia
| | - Anna Lene Seidler
- Centre for Research Excellence in the Early Prevention of Obesity in Childhood, University of Sydney, Sydney, New South Wales, Australia
- NHMRC Clinical Trials Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Rebecca Golley
- Centre for Research Excellence in the Early Prevention of Obesity in Childhood, University of Sydney, Sydney, New South Wales, Australia
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia
| | - Rachael Taylor
- Centre for Research Excellence in the Early Prevention of Obesity in Childhood, University of Sydney, Sydney, New South Wales, Australia
- Department of Medicine, University of Otago, Dunedin, New Zealand
| | - Kylie D Hesketh
- Centre for Research Excellence in the Early Prevention of Obesity in Childhood, University of Sydney, Sydney, New South Wales, Australia
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia
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Economos CD, Haire-Joshu D. Preventing Obesity in 2-5-Year Olds: A Pathway to Advancing Intervention Research. Child Obes 2020; 16:S259-S261. [PMID: 32936040 DOI: 10.1089/chi.2020.29008.ce] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Affiliation(s)
- Christina D Economos
- ChildObesity180, Boston, MA, USA.,Division of Nutrition Interventions, Communication, and Behavior Change, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Debra Haire-Joshu
- Center for Diabetes Translation Research, Center for Obesity Prevention and Policy Research, Brown School at Washington University, St. Louis, MO, USA
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Hedges LV, Saul JA, Cyr C, Magnus M, Scott-Sheldon LA, Young-Hyman D, Khan LK. Childhood Obesity Evidence Base Project: A Rationale for Taxonomic versus Conventional Meta-Analysis. Child Obes 2020; 16:S21-S26. [PMID: 32936036 PMCID: PMC7482128 DOI: 10.1089/chi.2020.0137] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Introduction: There is a great need for analytic techniques that allow for the synthesis of learning across seemingly idiosyncratic interventions. Objectives: The primary objective of this paper is to introduce taxonomic meta-analysis and explain how it is different from conventional meta-analysis. Results: Conventional meta-analysis has previously been used to examine the effectiveness of childhood obesity prevention interventions. However, these tend to examine narrowly defined sections of obesity prevention initiatives, and as such, do not allow the field to draw conclusions across settings, participants, or subjects. Compared with conventional meta-analysis, taxonomic meta-analysis widens the aperture of what can be examined to synthesize evidence across interventions with diverse topics, goals, research designs, and settings. A component approach is employed to examine interventions at the level of their essential features or activities to identify the concrete aspects of interventions that are used (intervention components), characteristics of the intended populations (target population or intended recipient characteristics), and facets of the environments in which they operate (contextual elements), and the relationship of these components to effect size. In addition, compared with conventional meta-analysis methods, taxonomic meta-analyses can include the results of natural experiments, policy initiatives, program implementation efforts and highly controlled experiments (as examples) regardless of the design of the report being analyzed as long as the intended outcome is the same. It also characterizes the domain of interventions that have been studied. Conclusion: Taxonomic meta-analysis can be a powerful tool for summarizing the evidence that exists and for generating hypotheses that are worthy of more rigorous testing.
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Affiliation(s)
- Larry V. Hedges
- Department of Statistics, Northwestern University, Evanston, IL, USA
| | - Jason A. Saul
- Center for Impact Sciences, Harris School of Public Policy, University of Chicago, Chicago, IL, USA
| | - Chris Cyr
- Impact Genome Project, Mission Measurement, Chicago, IL, USA
| | | | - Lori A.J. Scott-Sheldon
- Centers for Behavioral and Preventive Medicine, The Miriam Hospital, Providence, RI, USA
- Department of Psychiatry and Human Behavior, Alpert School of Medicine, Brown University, Providence, RI, USA
| | - Deborah Young-Hyman
- Office of Behavioral and Social Science Research, National Institutes of Health, Bethesda, MD, USA
| | - Laura Kettel Khan
- Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, GA, USA
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