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首页> 外文期刊>American journal of public health >Effect of cross-level interaction between individual and neighborhood socioeconomic status on adult mortality rates.
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Effect of cross-level interaction between individual and neighborhood socioeconomic status on adult mortality rates.

机译:个体和邻里社会经济地位之间的跨层次互动对成人死亡率的影响。

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OBJECTIVE: We examined whether the influence of neighborhood-level socioeconomic status (SES) on mortality differed by individual-level SES. METHODS: We used a population-based, mortality follow-up study of 4476 women and 3721 men, who were predominately non-HIspanic White and aged 25-74 years at baseline, from 82 neighborhoods in 4 California cities. Participants were surveyed between 1979 and 1990, and were followed until December 31, 2002 (1148 deaths; mean follow-up time 17.4 years). Neighborhood SES was defined by 5 census variables and was divided into 3 levels. Individual SES was defined by a composite of educational level and household income and was divided into tertiles. RESULTS: Death rates among women of low SES were highest in high-SES neighborhoods (1907/100000 person-years), lower in moderate-SES neighborhoods (1323), and lowest in low-SES neighborhoods (1128). Similar to women, rates among men of low SES were 1928, 1646, and 1590 in high-, moderate-, and low-SES neighborhoods, respectively. Differences were not explained by individual-level baseline risk factors. CONCLUSION: The disparities in mortality by neighborhood of residence among women and men of low SES demonstrate that they do not benefit from the higher quality of resources and knowledge generally associated with neighborhoods that have higher SES.
机译:目的:我们研究了社区水平的社会经济地位(SES)对死亡率的影响是否因个人水平的SES而异。方法:我们使用了来自加利福尼亚州4个城市的82个社区的4476名女性和3721名男性的人群为基础的死亡率随访研究,这些女性主要为非西班牙裔白人,基线时年龄为25-74岁。在1979年至1990年之间对参与者进行了调查,并随访至2002年12月31日(1148例死亡;平均随访时间17.4年)。邻里SES由5个普查变量定义,分为3个级别。个人SES由教育水平和家庭收入的综合定义,并分为三分位数。结果:低SES妇女的死亡率在高SES社区中最高(1907/100000人年),在中SES社区中较低(1323),在低SES社区中最低(1128)。与女性相似,在高,中和低SES社区中,低SES的男性发病率分别为1928、1646和1590。个体水平的基线危险因素未解释差异。结论:SES较低的男女之间按居住地划分的死亡率差异表明,他们没有从较高的SES邻里通常所具有的资源和知识质量中受益。

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