Depression as a disease of modernity: explanations for increasing prevalence
Open accessAbstract
There has been much speculation about modern environments causing an epidemic of depression. This review aims to (1) determine whether depression rates have increased and (2) review evidence for possible explanations. While available data indicate rising prevalence and an increased lifetime risk for younger cohorts, strong conclusions cannot be drawn due to conflicting results and methodological flaws. There are numerous potential explanations for changing rates of depression. Cross-cultural studies can be useful for identifying likely culprits. General and specific characteristics of modernization correlate with higher risk. A positive correlation between a country's GDP per capita, as a quantitative measure of modernization, and lifetime risk of a mood disorder trended toward significance (p=0.06). Mental and physical well-being are intimately related. The growing burden of chronic diseases, which arise from an evolutionary mismatch between past human environments and modern-day living, may be central to rising rates of depression. Declining social capital and greater inequality and loneliness are candidate mediators of a depressiogenic social milieu. Modern populations are increasingly overfed, malnourished, sedentary, sunlight-deficient, sleep-deprived, and socially-isolated. These changes in lifestyle each contribute to poor physical health and affect the incidence and treatment of depression. The review ends with a call for future research and policy interventions to address this public health crisis.
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Rates of major depressive disorder correlate with modernization of society, which may reflect increased circadian disruption or the interaction between circadian disruption and other environmental factors experienced in modernized countries.
“Notably, rates of MDD correlate with modernization of society67; which may reflect the increased circadian disruption (i.e., light at night, shift work, and jet lag) or the interaction between circadian disruption and other environmental factors experienced in modernized countries.”
From Circadian rhythm disruption and mental health (2020) · cites this paper as [67]
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Experimental — accuracy not yet measuredGiven evidence of growing trends of both social media use and depression, the study's findings are likely conservative estimates of current states.
“However, given evidence of the growing trends of both social media use (Greenwood et al., 2016) and depression (Hidaka, 2012), it is likely that our findings are conservative estimates of current states.”
From Problematic social media use and depressive symptoms among U.S. young adults: A nationally-representative study (2017) · cites this paper as Hidaka, 2012
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- Authors
- Hidaka, B. H.
- Affiliations
- University of Kansas Medical Center (US)
- Corresponding author
- Hidaka, Brandon H.
- ORCID
- Hidaka, Brandon H.
- Venue
- Journal of Affective Disorders
- Publisher
- Elsevier BV
- Published
- 2012-11
- Volume
- 140
- Issue
- 3
- Pages
- 205-214
- ISSN
- 0165-0327 (ISSN-L)
- PMC
- PMC3330161
- OpenAlex
- W2053913132
- Cited by
- 769
- References
- 174
- Citations by year
- 2026: 23 · 2025: 59 · 2024: 51 · 2023: 96 · 2022: 83 · 2021: 105 · 2020: 99 · 2019: 48 · 2018: 58 · 2017: 50 · 2016: 31 · 2015: 29 · 2014: 19 · 2013: 15 · 2012: 3
- FWCI
- 2.94
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Journal of Affective Disorders (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Center for Research Resources (P20RR016475)
- Topics
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Social Sciences › Health › Health disparities and outcomes
- Social Sciences › Psychology › Clinical Psychology › Psychological Treatments and Disorders
- Keywords
- depression, modernity, modernization, depression prevalence, mood disorders, GDP per capita, chronic disease, evolutionary mismatch, social capital, inequality, loneliness, lifestyle factors, sleep deprivation, malnutrition, sedentary behavior, social isolation, cross-cultural comparison, public health policy
- MeSH terms
- Depression, Humans, Life Style, Public Health, Social Change, Comorbidity, Incidence, Prevalence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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