Multi-dimensional Profiles of Risk and Their Association with Obesity-Severity in Low-Income Black Women.
Multi-dimensional Profiles of Risk and Their Association with Obesity-Severity in Low-Income Black Women.
复制标题
低收入黑人女性的多维风险概况及其与肥胖严重程度的关联。
DOI：
10.1007/s10903-022-01384-y
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发表时间：
2023
影响因子：
1.9
通讯作者：
Dubowitz,Tamara
中科院分区：
文献类型：
--
作者：
Richardson,AndreaS;Collins,RebeccaL;Ghosh-Dastidar,Bonnie;Beckman,Robin;Troxel,WendyM;Dubowitz,Tamara
多层次的危险因素是黑人妇女肥胖率不成比例的原因。2011年（匹兹堡，宾夕法尼亚州）低收入黑人妇女（n = 917）多层次风险和保护因素的潜在分类分析。数据通过面对面调查、访谈者协助的在线饮食回忆和2011年犯罪记录收集。多项逻辑回归估计了潜在类别和肥胖严重程度之间的横断面关联，这些关联来自测量的人体测量。根据健康动机和意图、社会经济和健康负担以及邻里风险，潜类分析将妇女分为四组：1类=非常高负担（n = 283）， 2类=健康动机、低负担、低邻里风险（n = 231）， 3类=高负担和高邻里风险（n = 106）， 4类=低负担和低邻里风险（n = 297）。第3级=高负担和高邻里风险妇女的严重肥胖风险最高。多层次策略可能支持低收入黑人妇女对面临社区水平和社会经济压力的肥胖的恢复力。
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.