期刊
OBESITY REVIEWS
卷 23, 期 6, 页码 -出版社
WILEY
DOI: 10.1111/obr.13438
关键词
inequalities; interventions; obesity; weight management
资金
- Medical Research Council [MC_UU_00006/6]
- Australian Government Research Training Program Scholarship
This study conducted a systematic review on inequalities in behavioral weight management interventions trials, finding that most trials did not show an inequality gradient. However, when inequalities were observed, those with more advantages tended to perform better. Alternative methods of data synthesis may help in understanding inequalities in such interventions.
The extent to which behavioral weight management interventions affect health inequalities is uncertain, as is whether trials of these interventions directly consider inequalities. We conducted a systematic review, synthesizing evidence on how different aspects of inequality impact uptake, adherence, and effectiveness in trials of behavioral weight management interventions. We included (cluster-) randomized controlled trials of primary care-applicable behavioral weight management interventions in adults with overweight or obesity published prior to March 2020. Data about trial uptake, intervention adherence, attrition, and weight change by PROGRESS-Plus criteria (place of residence, race/ethnicity, occupation, gender, religion, education, socioeconomic status, social capital, plus other discriminating factors) were extracted. Data were synthesized narratively and summarized in harvest plots. We identified 91 behavioral weight loss interventions and 12 behavioral weight loss maintenance interventions. Fifty-six of the 103 trials considered inequalities in relation to at least one of intervention or trial uptake (n = 15), intervention adherence (n = 15), trial attrition (n = 32), or weight outcome (n = 34). Most trials found no inequalities gradient. If a gradient was observed for trial uptake, intervention adherence, and trial attrition, those considered more advantaged did best. Alternative methods of data synthesis that enable data to be pooled and increase statistical power may enhance understanding of inequalities in behavioral weight management interventions.
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