Economic shocks and health resilience: lessons from the Russian Federation.

Economic shocks and health resilience: lessons from the Russian Federation.
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DOI:
10.1093/pubmed/fdv166
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发表时间:
2016-12-02
期刊:
Journal of public health (Oxford, England)
影响因子:
--
通讯作者:
Roberts B
Roberts B
中科院分区:
其他
文献类型:
--
作者:
Gordeev VS;Goryakin Y;McKee M;Stuckler D;Roberts B

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尽管对健康决定因素进行了广泛的研究,但有关保护遭受经济冲击的人的健康因素的信息却少得多。我们利用俄罗斯联邦在后苏联时期的纵向数据,研究了增强健康对经济冲击的抵御能力的个人层面的因素。使用俄罗斯高等经济学院纵向监测调查(1994-2012)的汇总样本,逻辑回归分析了与良好自我评估健康(SAH)和健康复原力相关的因素。一般人群一致报告“平均”SAH,表明多年来趋势几乎不变。男性是良好 SAH 和健康复原力的最强预测因素。与良好 SAH 呈正相关的其他因素包括年龄、高等教育、就业、居住在农村地区、生活在较大和/或非贫困家庭中。在失业者和仍然失业者中,居住在农村地区、生活在较大和/或非贫困家庭中仍然是良好 SAH 和健康复原力的最强预测因素。这些相同的因素对于最近失业的男性也很重要。预测一般人群中 SAH 良好的几个因素也会影响那些仍然失业和正在失业的人的健康弹性因素。这些因素有助于确定经济危机期间最脆弱的群体并提供针对性的援助。
Despite extensive research on determinants of health, there is much less information on factors protecting health among those exposed to economic shocks. Using longitudinal data from the Russian Federation in the post-Soviet period, we examined individual-level factors that enhance resilience of health to economic shocks. Logistic regression analysed factors associated with good self-assessed health (SAH) and health resilience, using pooled samples from the Russia Longitudinal Monitoring Survey-Higher School of Economics (1994–2012). The general population consistently reported ‘average’ SAH, indicating almost invariant trends over the years. Male gender was the strongest predictor of good SAH and health resilience. Other factors positively associated with good SAH were age, higher education, employment, residing in rural areas, living in a larger and/or non-poor household. Among unemployed and those remaining unemployed, residing in rural areas, living in a larger and/or non-poor household remained the strongest predictors of good SAH and health resilience. These same factors were also important for males with recent job loss. Several factors predicting good SAH in the general population also influence health resilience factors among those remaining unemployed and experiencing a job loss. Such factors help to identify those most vulnerable and aid targeting assistance during economic crises.
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