A systematic review on health resilience to economic crises.

A systematic review on health resilience to economic crises.
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DOI:
10.1371/journal.pone.0123117
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发表时间:
2015
期刊:
影响因子:
3.7
通讯作者:
Roberts B
Roberts B
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Glonti K;Gordeev VS;Goryakin Y;Reeves A;Stuckler D;McKee M;Roberts B

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最近的经济危机对健康的影响因人口群体而异。这一系统性审查的目的是审查纵向研究的证据,这些研究涉及影响生活在面临金融危机的国家的普通民众对任何健康结果或健康行为的复原力的因素。我们系统地回顾了来自六个电子数据库(EMBASE,Global Health,MEDLINE,PsycINFO,Scopus,Web of Science)的研究,这些数据库使用定量纵向研究设计,包括:(i)暴露于经济危机;(ii)健康结果/行为随时间的变化;(iii)健康风险和/或保护因素与健康结果/行为相关性的统计检验。使用定量研究质量评估工具对所选研究的质量进行评估。遵循PRISMA报告指南。在检索到的14,584份记录中,有22项研究符合合格标准。这些研究在过去二十年中在亚洲、欧洲和北美的10个国家进行。10个社会人口因素,增加或保护免受健康风险:性别,年龄,教育,婚姻状况,家庭规模,就业/职业,收入/财政限制,个人信仰,健康状况,居住地区,和社会关系。这些研究涉及身体健康、死亡率、自杀和自杀未遂、心理健康和健康行为。妇女的心理健康似乎比男子更容易受到危机的影响。较低的收入水平与心血管疾病、死亡率和心理健康状况恶化的增加有关。就业状况与心理健康的变化有关。尽管高等教育与更健康的行为有关,但与年龄、婚姻状况和教育程度的关系不太一致。尽管关于弹性的重要性的广泛言论,但缺乏将弹性因素操作化的研究。未来的概念和实证研究需要发展的流行病学的韧性。
The health effects of recent economic crises differ markedly by population group. The objective of this systematic review is to examine evidence from longitudinal studies on factors influencing resilience for any health outcome or health behaviour among the general population living in countries exposed to financial crises. We systematically reviewed studies from six electronic databases (EMBASE, Global Health, MEDLINE, PsycINFO, Scopus, Web of Science) which used quantitative longitudinal study designs and included: (i) exposure to an economic crisis; (ii) changes in health outcomes/behaviours over time; (iii) statistical tests of associations of health risk and/or protective factors with health outcomes/behaviours. The quality of the selected studies was appraised using the Quality Assessment Tool for Quantitative Studies. PRISMA reporting guidelines were followed. From 14,584 retrieved records, 22 studies met the eligibility criteria. These studies were conducted across 10 countries in Asia, Europe and North America over the past two decades. Ten socio-demographic factors that increased or protected against health risk were identified: gender, age, education, marital status, household size, employment/occupation, income/ financial constraints, personal beliefs, health status, area of residence, and social relations. These studies addressed physical health, mortality, suicide and suicide attempts, mental health, and health behaviours. Women’s mental health appeared more susceptible to crises than men’s. Lower income levels were associated with greater increases in cardiovascular disease, mortality and worse mental health. Employment status was associated with changes in mental health. Associations with age, marital status, and education were less consistent, although higher education was associated with healthier behaviours. Despite widespread rhetoric about the importance of resilience, there was a dearth of studies which operationalised resilience factors. Future conceptual and empirical research is needed to develop the epidemiology of resilience.
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