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Association of Intimate Partner Violence (IPV) and Healthcare Provider-Identified Obesity

机译:亲密伴侣暴力(IPV)与医疗保健提供者确定的肥胖症协会

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摘要

We examined the association of physical and non-physical IPV (intimate partner violence) with obesity. Women (n=1,179) were surveyed regarding demographics, obesity, and IPV exposure using HARK (humiliate-afraid-rape-kick), an IPV screening tool. A three-level lifetime IPV exposure variable measured physical, non-physical or no IPV. Healthcare provider-identified obesity was defined if participants were told by a medical provider within the past 5 years that they were obese. Bivariate analyses examined obesity by IPV and demographics. Multivariable logistic regression assessed odds of obesity by IPV type, adjusting for age, race/ethnicity, education and marital status. Among participants, 44% reported lifetime IPV (25% physical, 19% non-physical), and 24% reported healthcare provider-identified obesity. In unadjusted analyses, obesity was more prevalent among women exposed to physical IPV (30%) and non-physical IPV (27%), compared to women without IPV (20%, p=0.002). In multivariable models, women reporting physical IPV had 1.67 times greater odds of obesity (95% confidence interval [CI] 1.20, 2.33), and women reporting non-physical IPV had 1.46 times greater odds of obesity (95% CI 1.01, 2.10) compared to women reporting never exposure. This study extends prior data by showing not only an association between physical IPV and obesity, but also an association between obesity and non-physical IPV.
机译:我们研究了身体和非身体IPV(亲密伴侣暴力)与肥胖的关系。使用IPV筛查工具HARK(羞辱-害怕-强奸-踢)对妇女(n = 1,179)进行了人口统计学,肥胖和IPV暴露调查。三级寿命IPV暴露变量可测量物理,非物理或无IPV。如果医疗服务提供者在过去5年内告知参与者肥胖,则定义为医疗提供者识别的肥胖。双变量分析通过IPV和人口统计学检查了肥胖。多变量逻辑回归分析按IPV类型评估肥胖几率,并根据年龄,种族/民族,教育程度和婚姻状况进行调整。在参与者中,有44%的人报告了终生IPV(25%的人为物理性,19%的人为非物理性),还有24%的人报告了医疗保健提供者确定的肥胖。在未经校正的分析中,与没有IPV的女性(20%,p = 0.002)相比,接触物理IPV的女性(30%)和非物理IPV(27%)的女性肥胖更为普遍。在多变量模型中,报告物理IPV的女性肥胖几率高1.67倍(95%置信区间[CI] 1.20,2.33),报告非物理IPV的女性肥胖几率高1.46倍(95%CI 1.01,2.10)与报告从未接触过的女性相比。这项研究不仅通过显示物理IPV与肥胖之间的关联,而且还显示肥胖与非物理IPV之间的关联来扩展现有数据。

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