A Systematic Review and Meta-analysis of Depression, Anxiety, and Sleep Disorders in US Adults with Food Insecurity
Journal of General Internal Medicine, ISSN: 1525-1497, Vol: 34, Issue: 12, Page: 2874-2882
2019
- 210Citations
- 309Captures
- 7Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations210
- Citation Indexes203
- 203
- CrossRef137
- Policy Citations7
- Policy Citation7
- Captures309
- Readers309
- 309
- Mentions7
- References6
- Wikipedia6
- News Mentions1
- News1
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Formerly incarcerated Texans deserve better access to SNAP benefits
Food insecurity is a substantial public health issue impacting over 34 million people across the United States, including more nearly 300,000 in Bexar County. The
Review Description
Introduction: A large number of peer-reviewed studies, with various methodologies and populations, have addressed the effects of food insecurity (FIS) on mental health conditions such as depression, anxiety, and sleep disorders. There are currently, however, no published systematic assessments or meta-analyses of this literature. Methods: A systematic search of the literature was conducted in PubMed, PsycInfo, Embase, Scopus, and Web of Science. Cross-sectional studies assessing the association between food insecurity and depression, anxiety, or sleep disorders were identified. For each of the three health outcomes, we extracted (or calculated when possible) the following effect sizes: odds ratio (OR), Hedges’ g, Pearson correlation coefficients r, or bivariate coefficients. Then, for each mental health-outcome/effect-size pair, the available studies were combined using the random effect model. Heterogeneity, publication bias, and subgroup dependence, for each meta-analysis, were also assessed. Results: Fifty-seven studies provided cross-sectional data on the relationship between FIS and depression (n = 169,433), 13 on anxiety and psychological distress (n = 91,957), and 8 studies provided data on sleep disorders (n = 85,788). Meta-analysis showed that FIS is associated with an increased risk of testing positive for depression OR = 2.74 [95% CI 2.52–2.97, n = 135,500, Q(df = 41) = 69, I = 40%], anxiety OR = 2.41 [95% CI 1.81–3.22, n = 51,541, Q(df = 3) = 8, I = 63%], and sleep disorders OR = 1.80 [95% CI 1.51–2.15, n = 84,800, Q(df = 5) = 13, I = 62%]. The highest risks were found for depression and anxiety which had statistically similar values. The results were robust to covariates and population groups. Discussion: This systematic review and meta-analysis demonstrates a strong association between FIS and depression, anxiety, and sleep disorders, for which more longitudinal studies addressing effect sizes are warranted to further study causation.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85070194121&origin=inward; http://dx.doi.org/10.1007/s11606-019-05202-4; http://www.ncbi.nlm.nih.gov/pubmed/31385212; http://link.springer.com/10.1007/s11606-019-05202-4; https://dx.doi.org/10.1007/s11606-019-05202-4; https://link.springer.com/article/10.1007/s11606-019-05202-4
Springer Science and Business Media LLC
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