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Obesity disparities among disadvantaged men: National adult male inmate prevalence pooled with non-incarcerated estimates, United States, 2002–2004

机译:处境不利的男性之间的肥胖差异:美国成年男性囚犯患病率与未监禁的估计数合计,美国,2002-2004年

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摘要

Obesity prevalence among inmates in the United States is unknown. Since incarceration disproportionately affects minorities, excluding inmates from surveys may bias national obesity estimates. Including inmates may also help explain racial obesity disparities among men. This descriptive study summarizes obesity prevalence among US male inmates and analyzes the effect of incarceration on national prevalence estimates. Data for male inmates came from the 2002 Survey of Inmates in Local Jails and the 2004 Survey of Inmates in State and Federal Correctional Facilities. Data for the non-incarcerated US adult male population came from the 2004 National Health Interview Survey. Self-reported weight and height data were analyzed from men aged 25-59 years for all surveys (obesity equaled BMI ≥ 30.0 kg/m(2)). Pooled inmate obesity prevalence was less than non-incarcerated estimates across all race/ethnic-education subgroups. However, unlike non-incarcerated estimates, inmates had obesity disparities between Hispanics and non-Hispanic Whites. Merging inmate and non-incarcerated estimates lowered obesity prevalence among men aged 25-39 with lower education levels. Merged estimates showed a positive obesity gradient within Whites by education. This study indicates that the exclusion of inmates from national obesity estimates leads to overestimates in obesity prevalence, particularly for low SES White and Black men.
机译:在美国的囚犯中肥胖率尚不明确。由于监禁对少数民族的影响不成比例,因此将囚犯排除在调查范围之外可能会使全国肥胖估计数产生偏差。包括囚犯在内也可能有助于解释男性之间的种族肥胖差异。这项描述性研究总结了美国男性囚犯中的肥胖患病率,并分析了监禁对全国患病率估计的影响。男性囚犯的数据来自2002年当地监狱囚犯调查和2004年州和联邦教养所囚犯调查。未经监禁的美国成年男性人口数据来自2004年美国国民健康访问调查。在所有调查中分析了25-59岁男性的自我报告的体重和身高数据(肥胖等于BMI≥30.0 kg / m(2))。在所有种族/族裔教育亚组中,合并的犯人肥胖发生率低于未监禁的估计。但是,与未监禁的估计不同,囚犯在西班牙裔美国人和非西班牙裔白人之间存在肥胖差异。合并囚犯和非监禁者的估计值可以降低教育程度较低的25-39岁男性的肥胖率。合并的估计值显示,受教育程度,白人体内的肥胖率呈正上升趋势。这项研究表明,将囚犯从全国肥胖评估中排除会导致肥胖发生率的高估,尤其是对于SES较低的白人和黑人而言。

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    Houle, Brian;

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