Association Between Sociodemographic Characteristics and Weight Loss in a Financial Incentive Intervention for Adults With Obesity Living in Low-Income Neighborhoods.
IF 2.4 4区 医学Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Joseph A Ladapo, Stephanie L Orstad, Amy J Sheer, Chi-Hong Tseng, Un Young Rebecca Chung, Suzanne B Shu, Noah J Goldstein, Melanie Jay, Soma Wali
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引用次数: 0
Abstract
PurposeTo evaluate the association between demographic characteristics and weight-loss in response to financial incentives designed using behavioral economics.DesignRetrospective analysis of randomized clinical trial (RCT).SettingFIReWoRk RCT (NCT03157713), which found that financial incentives were more effective than provision of weight-management resources only for weight-loss.Subjects668 adults with obesity (221 in resources-only group, 447 in incentive groups) living in low-income neighborhoods.MeasuresDemographic characteristics and weight-loss.AnalysisLinear mixed-effects models with interaction terms to examine effect of incentives on weight-loss in different demographic groups.ResultsMean age of participants was 47.69 years, 81.0% were women, 72.6% were Hispanic, and mean BMI was 37.95 kg/m2. Financial incentives increased percent weight loss at 6 months (difference in percent weight loss between financial incentive and resources-only group = -2.41%; 95% CI -3.23% to -1.58%). In fully adjusted models, participants who were Black lost less weight than participants who were White (difference in percent weight loss = 2.12%; 95% CI 0.25% to 3.99%). Differences in percent weight loss by sex, age, education and neighborhood income were absent. Models that tested for interactions between group assignment and percent weight loss did not demonstrate evidence of a heterogenous effect of incentives in sociodemographic subgroups.ConclusionBlack participants in the FIReWoRk intervention lost less weight than White participants, but effectiveness of financial incentives generally did not vary significantly by sociodemographic characteristics. However, it remains important to evaluate potential impacts of financial incentive programs on health disparities.
目的评估人口统计学特征与减肥之间的关系,以应对使用行为经济学设计的财务激励。设计:随机临床试验(RCT)回顾性分析。SettingFIReWoRk RCT (NCT03157713),该研究发现,财政激励比仅为减肥提供体重管理资源更有效。研究对象是生活在低收入社区的668名肥胖成年人(221名在资源组,447名在激励组)。测量人口统计学特征和减肥。具有相互作用项的线性混合效应模型,以检验激励对不同人口群体减肥的影响。结果参与者平均年龄为47.69岁,81.0%为女性,72.6%为西班牙裔,平均BMI为37.95 kg/m2。财政激励增加了6个月时的减重百分比(财政激励组和资源组之间的减重百分比差异= -2.41%;95% CI -3.23%至-1.58%)。在完全调整后的模型中,黑人参与者比白人参与者减重更少(减重百分比差异= 2.12%;95% CI 0.25%至3.99%)。在性别、年龄、受教育程度和邻里收入方面,减肥百分比没有差异。测试小组分配和体重减轻百分比之间相互作用的模型没有证明在社会人口亚组中激励的异质性效应的证据。结论:在烟火干预中,黑人受试者比白人受试者减重更少,但经济激励的有效性一般不受社会人口统计学特征的影响。然而,评估财政激励计划对健康差异的潜在影响仍然很重要。
期刊介绍:
The editorial goal of the American Journal of Health Promotion is to provide a forum for exchange among the many disciplines involved in health promotion and an interface between researchers and practitioners.