Department of Behavioral and Policy Sciences, RAND Corporation, 4570 Fifth Ave, Suite 600, Pittsburgh, PA, 15213, USA.
Department of Behavioral and Policy Sciences, RAND Corporation, Santa Monica, CA, 90401, USA.
J Immigr Minor Health. 2023 Feb;25(1):62-74. doi: 10.1007/s10903-022-01384-y. Epub 2022 Aug 10.
Multi-level risk factors underlie disproportionate obesity rates among Black women. Latent class analysis of multi-level risk and protective factors among low-income Black women (n = 917) in 2011 (Pittsburgh, PA). Data were collected via in-person survey, interviewer-assisted online dietary recalls, and from 2011 crime records. Multinomial logistic regression estimated cross-sectional associations between latent classes and obesity severity derived from measured anthropometry. Latent class analysis identified four groups of women according to their motivations and intentions to be healthy, socioeconomic and health burden, and neighborhood risk: Class 1 = Very high burden (n = 283), Class 2 = Health motivated, low burden, low neighborhood risk (n = 231), Class 3 = High burden and high neighborhood risk (n = 106), and Class 4 = Low burden and low neighborhood risk (n = 297). Class 3 = High burden and high neighborhood risk women had the highest severe obesity risk. Multi-level strategies may support low-income Black women women's resilience to obesity who face neighborhood-level and socioeconomic stressors.
多层次的风险因素导致黑人女性肥胖率不成比例。2011 年对处于贫困线以下的黑人女性(n=917)进行多层次风险和保护因素的潜在类别分析(宾夕法尼亚州匹兹堡)。数据通过个人调查、访谈者辅助的在线饮食回忆以及 2011 年的犯罪记录收集。多变量逻辑回归估计了潜在类别与通过测量人体测量法得出的肥胖严重程度之间的横断面关联。潜在类别分析根据女性的健康动机、社会经济和健康负担以及社区风险,将女性分为四个组别:1 类=极高负担(n=283),2 类=健康动机、低负担、低社区风险(n=231),3 类=高负担和高社区风险(n=106),4 类=低负担和低社区风险(n=297)。3 类=高负担和高社区风险的女性具有最高的严重肥胖风险。多层次的策略可能会支持面临邻里和社会经济压力的贫困黑人女性对肥胖的适应能力。