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基于人群的女性队列中10年内小区域水平的社会经济地位与全因死亡率:来自吉朗骨质疏松症研究的数据。

Small area-level socioeconomic status and all-cause mortality within 10 years in a population-based cohort of women: Data from the Geelong Osteoporosis Study.

作者信息

Brennan-Olsen Sharon L, Williams Lana J, Holloway Kara L, Hosking Sarah M, Stuart Amanda L, Dobbins Amelia G, Pasco Julie A

机构信息

School of Medicine, Deakin University, Ryrie St., Geelong 3220, Australia; NorthWest Academic Centre, The University of Melbourne, Sunshine Hospital, 176 Furlong Road, St Albans, 3021, Australia; Australian Institute for Musculoskeletal Sciences, 176 Furlong Road, St Albans, 3021, Australia; Institute for Health and Ageing, Australian Catholic University, 215 Spring Street, Melbourne 3000, Australia.

School of Medicine, Deakin University, Ryrie St., Geelong 3220, Australia.

出版信息

Prev Med Rep. 2015 Jun 12;2:505-11. doi: 10.1016/j.pmedr.2015.05.011. eCollection 2015.

Abstract

BACKGROUND

The social gradient of health and mortality is well-documented. However, data are scarce regarding whether differences in mortality are observed across socio-economic status (SES) measured at the small area-level. We investigated associations between area-level SES and all-cause mortality in Australian women aged ≥ 20 years.

METHODS

We examined SES, obesity, hypertension, lifestyle behaviors and all-cause mortality within 10 years post-baseline (1994), for 1494 randomly-selected women. Participants' residential addresses were matched to Australian Bureau of Statistics Census data to identify area-level SES, and deaths were ascertained from the Australian National Deaths Index. Logistic regression models were adjusted for age, and subsequent adjustments made for measures of weight status and lifestyle behaviors.

RESULTS

We observed 243 (16.3%) deaths within 10 years post-baseline. Females in SES quintiles 2-4 (less disadvantaged) had lower odds of mortality (0.49-0.59) compared to SES quintile 1 (most disadvantaged) under the best model, after adjusting for age, smoking status and low mobility.

CONCLUSIONS

Compared to the lowest SES quintile (most disadvantaged), females in quintiles 2 to 5 (less disadvantaged) had significantly lower odds ratio of all-cause mortality within 10 years. Associations between extreme social disadvantage and mortality warrant further attention from research, public health and policy arenas.

摘要

背景

健康与死亡率的社会梯度已有充分记录。然而,关于在小区域层面衡量的社会经济地位(SES)不同时是否观察到死亡率差异的数据却很稀少。我们调查了澳大利亚20岁及以上女性的区域层面SES与全因死亡率之间的关联。

方法

我们对1494名随机选取的女性在基线(1994年)后10年内的SES、肥胖、高血压、生活方式行为和全因死亡率进行了研究。将参与者的居住地址与澳大利亚统计局的人口普查数据相匹配,以确定区域层面的SES,并从澳大利亚国家死亡指数中确定死亡情况。逻辑回归模型对年龄进行了调整,随后又对体重状况和生活方式行为的测量指标进行了调整。

结果

我们观察到在基线后10年内有243人(16.3%)死亡。在调整年龄、吸烟状况和低活动能力后,在最佳模型下,SES五分位数2 - 4(劣势较小)的女性与SES五分位数1(劣势最大)的女性相比,死亡率较低(比值比为0.49 - 0.59)。

结论

与最低SES五分位数(劣势最大)相比,五分位数2至5(劣势较小)的女性在10年内全因死亡率的比值比显著较低。极端社会劣势与死亡率之间的关联值得研究、公共卫生和政策领域进一步关注。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8022/4721425/2a15ddac5c1a/gr1.jpg

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