Neighbourhood socioeconomic status and biological 'wear and tear' in a nationally representative sample of US adults.

Neighbourhood socioeconomic status and biological 'wear and tear' in a nationally representative sample of US adults.
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DOI:
10.1136/jech.2008.084814
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发表时间:
2010-10
影响因子:
6.3
通讯作者:
Lurie N
Lurie N
中科院分区:
医学2区
文献类型:
--
作者:
Bird CE;Seeman T;Escarce JJ;Basurto-Dávila R;Finch BK;Dubowitz T;Heron M;Hale L;Merkin SS;Weden M;Lurie N

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评估邻里社会经济地位(NSES)是否与生物“磨损”的差异独立相关-通过非稳态负荷(AL)测量-在美国成年人的全国代表性样本中。横断面研究。基于人口的美国调查,第三次全国健康和营养检查调查(NHANES III),与描述受访者社区的美国人口普查数据合并。来自83个县和1,805个人口普查区的13,184名成年人完成了NHANES III访谈和体检,其居住地址可以可靠地地理编码到人口普查区。生物风险的汇总指标,包括9种生物标志物,共同代表代谢、心血管和炎症子指标中的AL。男性、年龄较大、收入较低、受教育程度较低、墨西哥裔美国人、黑人和女性都与AL恶化独立相关。=-0.46;置信区间-0.079,-0.012)。NSES和AL之间的关系没有显着差异,性别或种族/民族。生活在一个较低的社会经济地位在美国附近是与显着更大的生物磨损测量AL,这种关系是独立的个人社会经济地位的特点。我们的研究结果表明,一个人生活的地方与AL独立相关,从而表明改善NSES的政策也可能产生健康回报。
To assess whether neighbourhood socioeconomic status (NSES) is independently associated with disparities in biological “wear and tear”—measured by allostatic load (AL)—in a nationally representative sample of U.S. adults. Cross-sectional study. Population-based U.S. survey, the Third National Health and Nutrition Examination Survey (NHANES III), merged with U.S. Census data describing respondents’ neighbourhoods. 13,184 adults from 83 counties and 1,805 census tracts who completed NHANES III interviews and medical examinations and whose residential addresses could be reliably geocoded to census tracts. A summary measure of biological risk, incorporating nine biomarkers that together represent AL across metabolic, cardiovascular, and inflammatory subindices. Being male, older, having lower income, less education, being Mexican-American, and being both Black and female were all independently associated with worse AL. After adjusting for these characteristics, living in a lower SES neighbourhood was associated with worse AL (coeff. = −0.46; CI −0.079, −0.012). The relationship between NSES and AL did not vary significantly by gender or race/ethnicity. Living in a lower SES neighbourhood in the United States is associated with significantly greater biological wear and tear as measured by AL, and this relationship is independent of individual SES characteristics. Our findings demonstrate that where one lives is independently associated with AL, thereby suggesting that policies that improve NSES may also yield health returns.
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