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Adolescent Onset of the Gender Difference in Lifetime Rates of Major Depression: A Theoretical Model
Abstract
Prepubescent boys are, if anything, more likely than girls to be depressed. During adolescence, however, a dramatic shift occurs: between the ages of 11 and 13 years, this trend in depression rates is reversed. By 15 years of age, females are approximately twice as likely as males to have experienced an episode of depression, and this gender gap persists for the next 35 to 40 years. We offer a theoretical framework that addresses the timing of this phenomenon. First, we discuss the social and hormonal mechanisms that stimulate affiliative needs for females at puberty. Next, we describe how heightened affiliative need can interact with adolescent transition difficulties to create a depressogenic diathesis as at-risk females reach puberty. This gender-linked vulnerability explains why adolescent females are more likely than males to become depressed when faced with negative life events and, particularly, life events with interpersonal consequences.
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“There now is consensus that the gender difference in depression has a multifactorial etiology”
From Gender Differences in Depression in Representative National Samples: Meta-Analyses of Diagnoses and Symptoms (2017) · cites this paper as Cyranowski et al., 2000
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“Plus précisément, il semblerait que ces différences émergent entre 11 et 13 ans pour atteindre le ratio de deux pour un vers 15 ans (Cyranowski et al., 2000).”
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“This disparity aligns with the well-established framework that females typically construct their identities with a stronger relational-interdependent orientation (Cyranowski et al., 2000).”
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“…gonadal hormone alterations during puberty, face traditional stereotypes of passivity and restricted choices, and receive a lack of respect, all of which can facilitate depressive symptoms (Angold et al., 1998; Cyranowski et al., 2000; Liu et al., 2022; Mcfarlane et al., 1994; Sun et al., 2023).”
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Mitigating Negative Emotions: The Role of Adaptive Coping Mechanisms During the Pandemic
Cho, Y., Marks, J., & Lim, R. (2026) · The Journal of Public and Professional Sociology · doi:10.62915/2154-8935.1204
“This result is consistent with previous findings that females are more depressed than males in the general population (Silverstein, 1999) and adolescents (Cyranowski et al., 2000; Hyde et al., 2008; Nolen-Hoeksema, 2001).”
Amiri, S., & Khan, M. A. (2026) · Archives of Women s Mental Health · doi:10.1007/s00737-026-01717-y
“The prevalence of MDD is higher in women than in men (Albert 2015; Baxter et al. 2014; Cyranowski et al. 2000; Ford and Erlinger 2004; Sabic et al. 2021; Whit - eford et al. 2013 ).”
Lee, S. A., Graham‐Engeland, J. E., Lee, S., & Almeida, D. M. (2026) · Psychosomatic Medicine · doi:10.1097/psy.0000000000001494
Hutten, E., Jongen, E. M. M., van den Berg, Y. H. M., & Verboon, P. (2026) · Journal of Applied Developmental Psychology · doi:10.1016/j.appdev.2026.101933
Simiola, V., Ridout, K. K., Erickson, C., Kazan, R., Nie, S.-X., Adolfson, M. P., Simon, G. E., & Miller-Matero, L. (2026) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2026.05.003
The Effect of Yagya on Stress, Anxiety and Depression in Women
Gupta, A. (2026) · Aathiyoga Indian Journal of Ancient Medicine and Yoga · doi:10.63300/irjoyas403.052026.05
“[17] [18] The present findings show that from moderate to normal conditions with yagya therapy methods that is proposed in the present paper.”
Aldala’een, R. A. A., & Naser, A. Y. (2026) · Medicine · doi:10.1097/md.0000000000048415
“[7,8] 12–15] This suggests that the differences are primarily biological and depend to a lesser extent on race, culture, diet, education, and many other socioeconomic factors.”
Ertürk, N. E., Ayhan, F., Koçak, Y., & Zeyrek, E. (2026) · BMC Psychology · doi:10.1186/s40359-026-04214-0
“Psychological disorders such as depression, stress, and anxiety are more common in females in Türkiye as well as in the world [38–40].”
Jacobs, K. A., Claessens, E., Mortelmans, D., & de Velde, S. M. V. (2026) · Families Relationships and Societies · doi:10.1332/20467435y2025d000000081
Lee, H.-Y., Cho, I. Y., Shin, D., & Han, K. (2026) · Epidemiology and Psychiatric Sciences · doi:10.1017/s204579602510036x
“This female preponderance in rates of depression begins as early as adolescence (Cyranowski et al. , 2000).”
Wang, X., Wang, T., & Li, C. (2026) · Behavioral Sciences · doi:10.3390/bs16010068
“These cognitive styles may amplify and sustain cognitive biases following victimization (Cyranowski et al., 2000; Lewis et al., 2015), thereby strengthening the mediating role of such biases in the pathway to depressive symptoms.”
Investigation of Ruminative Thinking Levels of Football Referees
Pulur, A., Gündoğdu, H., & Gündoğdu, F. (2025) · International Journal of Sport, Exercise & Training Sciences · doi:10.18826/useeabd.1798720
Mohsin, M., Mahmud, S., Nazneen, S., Mustani, R., Umucu, E., Paat, Y., & Mangadu, T. (2025) · medRxiv · doi:10.1101/2025.11.25.25340981
Proshina, E., Portnova, G., Khayrullina, G., Bainbridge, E., & Martynova, O. (2025) · Neuroscience and Behavioral Physiology · doi:10.1007/s11055-025-01897-7
“The sample was unevenly distributed between men and women, with a higher prevalence among women, which can be explained by the fact that depression is approximately 50% more common among women [41].”
Puttraju, V. P., & Srikanth, J. (2025) · Cureus · doi:10.7759/cureus.95723
“The demographic differences between groups represent a significant confounding factor, as gender disparities in adolescent depression rates are well-established [31], suggesting that our findings may reflect underlying gender-based vulnerabilities rather than activity-specific effects.”
Jalil, M., Rani, K., Ravi, L., Sherpa, T., & Aridas, M. S. (2025) · Cureus · doi:10.7759/cureus.92019
“However, under-recognition of depression in women and barriers to accessing appropriate care (especially among older adults) may contribute to greater late-stage mortality [24].”
Bias Identification in Deep Learning-Based Psychological Hotline Models*
Zhang, L., Song, C., Chen, Y., Tong, Y., Zhao, Q., & Fu, G. (2025) · International Conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC) · doi:10.1109/aiotc66747.2025.11198722
Gong, J., Bian, X., Jin, G., Zhou, T., Liu, J., Coplan, R. J., & Sang, B. (2025) · Journal of Child and Family Studies · doi:10.1007/s10826-025-03039-6
“This might be attributable to gender differences in susceptibility to social and biogenetic factors that may lead to depressive disorders, with girls being potentially more vulnerable to the stresses of home quarantine (Cyranowski et al., 2000; Nolen-Hoeksema & Girgus, 1994; Zablotsky et al., 2022).”
Metadata
- Authors
- Cyranowski, J. M., Frank, E., Young, E., & Shear, M. K.
- Affiliations
- University of Pittsburgh Medical Center (US)
- Venue
- Archives of General Psychiatry
- Publisher
- American Medical Association (AMA)
- Published
- 2000-01-01
- Volume
- 57
- Issue
- 1
- Pages
- 21
- ISSN
- 0003-990X (ISSN-L)
- OpenAlex
- W2025113055
- Cited by
- 1,276
- References
- 0
- Citations by year
- 2026: 32 · 2025: 44 · 2024: 57 · 2023: 51 · 2022: 69 · 2021: 72 · 2020: 77 · 2019: 49 · 2018: 43 · 2017: 83 · 2016: 44 · 2015: 72 · 2014: 51 · 2013: 53 · 2012: 53
- FWCI
- 30.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Archives of General Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Mental Health (MH-18269, T32MH018269)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Maternal Mental Health During Pregnancy and Postpartum
- Keywords
- adolescent depression, gender differences, major depressive disorder, puberty, endocrine effects, adolescent transition, diathesis
- MeSH terms
- Adolescent, Adult, Age Factors, Depressive Disorder, Humans, Interpersonal Relations, Life Change Events, Models, Psychological, Puberty, Risk Factors, Sex Factors, Socialization, Age of Onset, Sex Distribution
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