A Systematic Review on Health Resilience to Economic Crises
Publication Date
April 23, 2015
Journal
PLOS ONE
Authors
Ketevan Glonti, Vladimir S. Gordeev, Yevgeniy Goryakin, Aaron Reeves, et al
Volume
10
Issue
4
Pages
e0123117
DOI
https://dx.plos.org/10.1371/journal.pone.0123117
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0123117
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/25905629
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4408106
Europe PMC
http://europepmc.org/abstract/MED/25905629
Web of Science
000353332000023
Scopus
84929380112
Mendeley
http://www.mendeley.com/research/systematic-review-health-resilience-economic-crises-2
Events
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Mendeley | Further Information

{"title"=>"A systematic review on health resilience to economic crises", "type"=>"generic", "authors"=>[{"first_name"=>"Ketevan", "last_name"=>"Glonti", "scopus_author_id"=>"55933015400"}, {"first_name"=>"Vladimir S.", "last_name"=>"Gordeev", "scopus_author_id"=>"35483600600"}, {"first_name"=>"Yevgeniy", "last_name"=>"Goryakin", "scopus_author_id"=>"35175764500"}, {"first_name"=>"Aaron", "last_name"=>"Reeves", "scopus_author_id"=>"55442975600"}, {"first_name"=>"David", "last_name"=>"Stuckler", "scopus_author_id"=>"23568944000"}, {"first_name"=>"Martin", "last_name"=>"McKee", "scopus_author_id"=>"7202304775"}, {"first_name"=>"Bayard", "last_name"=>"Roberts", "scopus_author_id"=>"24328789700"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"pmid"=>"25905629", "scopus"=>"2-s2.0-84929380112", "isbn"=>"1932-6203", "doi"=>"10.1371/journal.pone.0123117", "issn"=>"19326203", "sgr"=>"84929380112", "pui"=>"604371994"}, "id"=>"cc3536b5-cebc-3f2d-bca1-9d39cc9e8c8e", "abstract"=>"BACKGROUND: 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.\\n\\nMETHODS: 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.\\n\\nRESULTS: 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.\\n\\nCONCLUSIONS: 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.", "link"=>"http://www.mendeley.com/research/systematic-review-health-resilience-economic-crises-2", "reader_count"=>81, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>4, "Librarian"=>1, "Student > Doctoral Student"=>12, "Researcher"=>20, "Student > Ph. D. 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CrossRef

Scopus | Further Information

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Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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