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Long-term local area employment rates as predictors of individual mortality and morbidity: a prospective study in England, spanning more than two decades

机译:长期本地就业率是个体死亡率和发病率的预测指标:一项在英国进行的前瞻性研究,涉及超过20年

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摘要

Background Although long-term trends in local labour market conditions are likely to influence health, few studies have assessed whether this is so. This paper examines whether (1) trends in local employment rates have relevance for mortality and morbidity outcomes in England and (2) trends are stronger predictors of these outcomes than employment rates measured at one point in time. Methods Using latent class growth models, local areas were classified into eight groups following distinct trends in employment rates between 1981 and 2008. Areas were also categorised in 'octile' groups by rank of employment rates in 2001. These area groupings were linked to a sample of 207 959 individuals from the Office of National Statistics Longitudinal Study. Associations between area groupings and risk of all-cause mortality and of reporting a limiting long-term illness at the end of the period were measured using logistic regression. Models were adjusted for individuals' socio-demographic characteristics measured in 1981 and for their residential mobility between 1981 and 2001. Results Compared to areas with continuously high employment rates over the period, risk of mortality and morbidity was higher in areas with persistently low oi declining employment rates. Findings suggest that long-term trends in local employment rates are useful as predictors of mortality and morbidity differences. These are not so clearly distinguished by only considering employment rates at one point in time. Conclusion Poor health outcomes are associated with long-term economic disadvantage in some areas of England, reflected in employment rates, underlining the importance of efforts to improve health in areas with especially 'deep-seated' deprivation.
机译:背景信息尽管当地劳动力市场状况的长期趋势可能会影响健康,但很少有研究评估是否如此。本文研究了(1)本地就业率趋势与英格兰的死亡率和发病率结果是否相关,以及(2)趋势是否比某一时间点的就业率更能预测这些结果。方法使用潜在类别增长模型,根据1981年至2008年之间的就业率不同趋势,将地区分为八类。还根据2001年的就业率等级将其划分为“ octile”组。这些区域分组与一个样本相关联来自国家统计纵向研究办公室的207959人使用Logistic回归测量了区域分组与全因死亡率风险以及期末报告有限长期疾病的风险之间的关联。对模型进行了调整,以适应1981年测量的个人社会人口统计学特征以及1981年至2001年之间的居住人口流动性。结果与这段时期内就业率持续高的地区相比,oi持续降低的地区的死亡和发病风险更高就业率。研究结果表明,当地就业率的长期趋势可作为预测死亡率和发病率差异的指标。仅在某一时间点考虑就业率并不能如此清晰地区分它们。结论在英格兰的某些地区,健康状况不佳与长期的经济劣势有关,这在就业率上得到了反映,突显了在特别是“根深蒂固”的贫困地区努力改善健康的重要性。

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  • 来源
    《Journal of Epidemiology & Community Health》 |2012年第10期|919-926|共8页
  • 作者

    Mylene Riva; Sarah E Curtis;

  • 作者单位

    Axe Sante des populations et environnementale. Centre de Recherche du CHUQ, Universite Laval, 2875 Boulevard Laurier, Edifice Delta 2, bureau 600, Quebec, Quebec 61V 2M2, Canada;

    Department of Geography, Institute of Hazard, Risk and Resilience and Wolfson Research Institute, Durham University, Durham, UK;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
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