Scoping review protocol of multicomponent interventions to address cardiometabolic disease risk among Pacific Islander children

针对太平洋岛民儿童心血管代谢疾病风险的多组分干预措施的范围界定审查方案

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Abstract

INTRODUCTION: Multicomponent interventions can reduce cardiometabolic disease (CMD) risk factors in childhood; however, little synthesis of the literature has taken place in the Pacific region. Pacific Islanders experience a disproportionately high prevalence of CMD risk factors, yet interventions have been slow to reach many communities. We present this protocol for a scoping review to identify and summarize existing multicomponent interventions to address CMD risk in Pacific Islander children. MATERIALS AND METHODS: Eligible interventions will (1) address CMD risk factors (including but not limited to obesity, hyperglycemia, dyslipidemia, elevated blood pressure, and/or health behaviors) in 2-to-12-year-old Pacific Islander children, and (2) be multi-component (including at least two lifestyle/behavior change strategies to address CMD risk factors). To investigate existing interventions for adaptation and potential use in Pacific Islander communities, we will search Scopus, MEDLINE ALL (Ovid), EMBASE (Ovid), Yale-licensed Web of Science Core Collection, Cochrane Library, CINAHL (EBSCOhost), ProQuest Dissertations & Theses Global, Global Health (EBSCO), non-indexed Pacific journals, grey literature, government reports, and clinical trial registrations. The Joanna Briggs Institute Manual for Evidence Synthesis and the Preferred Reporting Items for Scoping Reviews will guide data extraction, evidence mapping, synthesis, and reporting of information including study population, intervention components, behavioral changes, health and implementation outcomes, theoretical frameworks, and evaluation measures. ETHICS AND DISSEMINATION: Formal ethical approval is not required. The dissemination strategy will include peer-reviewed journal publications and presentations. Synthesis of existing multicomponent interventions for Pacific Islander children will help to identify best practices that could be replicated, adapted, or combined.

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