The DOI matches its Crossref record; 36 of the 39 references it cites were found in a registry or an index.
Prevalence of depressive disorders and treatment in China: a cross-sectional epidemiological study
Abstract
Background In China, depressive disorders have been estimated to be the second leading cause of years lived with disability. However, nationally representative epidemiological data for depressive disorders, in particular use of mental health services by adults with these disorders, are unavailable in China. The present study, part of the China Mental Health Survey, 2012-15, aims to describe the socioeconomic characteristics and the use of mental health services in people with depressive disorders in China.Methods The China Mental Health Survey was a cross-sectional epidemiological survey of mental disorders in a multistage clustered-area probability sample of adults of Chinese nationality (≥18 years) from 157 nationwide representative population-based disease surveillance points in 31 provinces across China. Trained investigators interviewed the participants with the Composite International Diagnostic Interview 3.0 to ascertain the presence of lifetime and 12-month depressive disorders according to DSM-IV criteria, including major depressive disorder, dysthymic disorder, and depressive disorder not otherwise specified. Participants with 12-month depressive disorders were asked whether they received any treatment for their emotional problems during the past 12 months and, if so, the specific types of treatment providers. The Sheehan Disability Scale (SDS) was used to assess impairments associated with 12-month depressive symptoms. Data-quality control procedures included logic check by computers, sequential recording check, and phone-call check by the quality controllers, and reinterview check by the psychiatrists. Data were weighted according to the age-sex-residence distribution data from China's 2010 census population survey to adjust for differential probabilities of selection and differential response, as well as to post-stratify the sample to match the population distribution.Findings 28 140 respondents (12 537 [44·6%] men and 15 603 [55·4%] women) completed the survey between July 22, 2013, and March 5, 2015. Ethnicity data (Han or non-Han) were collected for only a subsample. Prevalence of any depressive disorders was higher in women than men (lifetime prevalence odds ratio [OR] 1·44 [95% CI 1·20-1·72] and 12-month prevalence OR 1·41 [1·12-1·78]), in unemployed people than employed people (lifetime OR 2·38 [95% CI 1·68-3·38] and 12-month OR 2·80 [95% CI 1·88-4·18]), and in people who were separated, widowed, or divorced compared with those who were married or cohabiting (lifetime OR 1·87 [95% CI 1·39-2·51] and 12-month OR 1·85 [95% CI 1·40-2·46]). Overall, 574 (weighted % 75·9%) of 744 people with 12-month depressive disorders had role impairment of any SDS domain: 439 (83·6%) of 534 respondents with major depressive disorder, 207 (79·8%) of 254 respondents with dysthymic disorder, and 122 (59·9%) of 189 respondents with depressive disorder not otherwise specified. Only an estimated 84 (weighted % 9·5%) of 1007 participants with 12-month depressive disorders were treated in any treatment sector: 38 (3·6%) in speciality mental health, 20 (1·5%) in general medical, two (0·3%) in human services, and 21 (2·7%) in complementary and alternative medicine. Only 12 (0·5%) of 1007 participants with depressive disorders were treated adequately.Interpretation Depressive disorders in China were more prevalent in women than men, unemployed people than employed, and those who were separated, widowed, or divorced than people who were married or cohabiting. Most people with depressive disorders reported social impairment. Treatment rates were very low, and few people received adequate treatment. National programmes are needed to remove barriers to availability, accessibility, and acceptability of care for depression in China.Funding National Health Commission and Ministry of Science and Technology of People's Republic of China.Translation For the Chinese translation of the abstract see Supplementary Materials section.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“However, mental health services are few and still underutilized globally [4-6].”
From Conversational Agent Interventions for Mental Health Problems: Systematic Review and Meta-analysis of Randomized Controlled Trials (2023) · cites this paper as [4]
Citations
Cites
Vos, T., Lim, S. S., Abbafati, C., Abbas, K. M., Abbasi, M., Abbasifard, M., Abbasi-Kangevari, M., Abbastabar, H., Abd-Allah, F., Abdelalim, A., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30925-9 · Cited by 19,358
Self-citationKessler, R. C., Berglund, P., Demler, O., Jin, R., Koretz, D., Merikangas, K. R., Rush, A. J., Walters, E. E., & Wang, P. S. (2003) · JAMA · doi:10.1001/jama.289.23.3095 · Cited by 7,988
Prevalence of mental disorders in China: a cross-sectional epidemiological study
Huang, Y., Wang, Y., Wang, H., Liu, Z., Yu, X., Yan, J., Yu, Y., Kou, C., Xu, X., Lu, J., et al. (2019) · The Lancet Psychiatry · doi:10.1016/s2215-0366(18)30511-x · Cited by 2,335
Self-citationRapid health transition in China, 1990–2010: findings from the Global Burden of Disease Study 2010
Yang, G., Wang, Y., Zeng, Y., Gao, G. F., Liang, X., Zhou, M., Wan, X., Yu, S., Jiang, Y., Naghavi, M., et al. (2013) · The Lancet · doi:10.1016/s0140-6736(13)61097-1 · Cited by 1,984
Wang, P. S., Aguilar-Gaxiola, S., Alonso, J., Angermeyer, M. C., Borges, G., Bromet, E. J., Bruffaerts, R., de Girolamo, G., de Graaf, R., Gureje, O., et al. (2007) · The Lancet · doi:10.1016/s0140-6736(07)61414-7 · Cited by 1,655
Undertreatment of people with major depressive disorder in 21 countries
Thornicroft, G., Chatterji, S., Evans-Lacko, S., Gruber, M., Sampson, N., Aguilar-Gaxiola, S., Al-Hamzawi, A., Alonso, J., Andrade, L., Borges, G., et al. (2017) · British Journal of Psychiatry · doi:10.1192/bjp.bp.116.188078 · Cited by 1,121
Self-citationAndrade, L., Caraveo‐anduaga, J. J., Berglund, P., Bijl, R. V., Graaf, R. D., Vollebergh, W., Dragomirecka, E., Kohn, R., Keller, M., Kessler, R. C., et al. (2003) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.138 · Cited by 1,068
Phillips, M. R., Zhang, J., Shi, Q., Song, Z., Ding, Z., Pang, S., Li, X., Zhang, Y., & Wang, Z. (2009) · The Lancet · doi:10.1016/s0140-6736(09)60660-7 · Cited by 1,063
Self-citationMeng, Q., Fang, H., Liu, X., Yuan, B., & Xu, J. (2015) · The Lancet · doi:10.1016/s0140-6736(15)00342-6 · Cited by 555
Kessler, R. C., Abelson, J., Demler, O., Escobar, J. I., Gibbon, M., Guyer, M. E., Howes, M. J., Jin, R., Vega, W. A., Walters, E. E., et al. (2004) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.169 · Cited by 489
Research works printed but not linked: 3
- 1986, A national 12-region psychiatric epidemiological study – methodology and results, Chin J Neurol Psychiatry, 19, 65
- Zhang, 1998, Epidemiological investigation on mental disorders in 7 areas of China, Chin J Psychiatry, 31, 69
- Wang, 2013, Reliability and validity of the Chinese version of WHO Disability Assessment Schedule 2.0 in mental disability assessment, Chin Ment Health J, 27, 121
Cited by
Sorted by citations
Items 801–842 of 842
Liu, L., Zhao, W., He, M., Yang, X., Yu, K., Ding, N., Tian, W., Liu, G., Zhang, G., & Zhang, Y. (2026) · JMIR Formative Research · doi:10.2196/75251
“A survey showed that only 9.5% of patients with depressive disorders received mental health services (eg, psychiatric-psychologi-cal specialist treatment and integrated unit treatment) [10].”
InfluentialSelf-citationEffectiveness of Gratitude on Female Psychological Well-Being in China: A Randomized Experiment
Wang, R.-K., & Yin, M. X. C. (2026) · Research on Social Work Practice · doi:10.1177/10497315261466591
Hao, J., Zhou, W., Guo, L., Wang, W., Zhang, H., Liao, Y., Liu, Y., Yiming, S., Chen, R., Wen, C., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-10113830/v1
PDAug: Population-based Dynamic Audio Augmentation for imbalanced data depression detection
Li, D., Wang, Z., Ding, L., Zhao, K., & Wang, Z. (2026) · Speech Communication · doi:10.1016/j.specom.2026.103441
Self-citationWu, Y., Xia, X., Jing, P., Ye, F., & Wang, Q. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.122255
Self-citationZhang, G., Gao, L., Ji, H., Zhang, T., Ma, X., & Zhao, Y. (2026) · Revista Brasileira de Farmacognosia · doi:10.1007/s43450-026-00785-6
Self-citationZhang, H., Li, Z., Xu, X., & Han, S. (2026) · Healthcare · doi:10.3390/healthcare14152246
“This increase is particularly pronounced among women [2,3], which has been partly attributed to the cumulative pressures stemming from both professional and domestic respon-sibilities [4–6].”
Self-citationZhao, Y., Choi, M., Li, N., Qiao, Q., Chen, J., Huang, Z., & Bian, Y. (2026) · Healthcare · doi:10.3390/healthcare14152341
“In China, the world’s most rapidly aging country, recent national surveys estimate the prevalence of depressive symptoms among adults aged 45 and older to be between 25% and 40%, imposing substantial personal, familial, and societal burdens [2].”
Self-citationLiu, Z., & Liu, H. (2026) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2026.105113
Shi, X., Geng, M., Li, J., Kang, L., Wei, K., Chen, Y., Zhang, X., Jiang, X., Wang, Y., Li, Z., et al. (2026) · International Conference on Artificial Intelligence and Computing (AIC) · doi:10.1109/aic65131.2026.11633556
“MDD is a highly prevalent and disabling psychiatric illness whose clinical heterogeneity poses substantial treatment challenges and imposes a heavy burden on public health and socioeconomic systems [1].”
Hu, Q., Li, X., Kong, X., Fang, J., Wang, T., Yu, J., Qin, X., & Zhu, D. (2026) · Research Square · doi:10.21203/rs.3.rs-10513068/v1
Yang, F., Zou, X., & Lin, Z. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2026.107627
Yang, G., Liu, X., Liu, R., Liang, Y., He, X., Xu, X., Zhang, H., & Chen, J. (2026) · Environmental Science & Technology · doi:10.1021/acs.est.6c09884
Self-citationChen, S., Wang, F., Jiao, Y., Niu, Y., Ma, K., He, S., Wang, S., Li, R., Liu, S., Zhao, Y., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71761
PsychoRISE: A Multi-Agent Role-Contextualized Framework for Interactive Psychological Assessment
Luo, Y. (2026) · International Conference on Health Informatization and Data Analysis (HIDA) · doi:10.1145/3819113.3819153
Yan, W., Wang, F., Zhang, Z., Zhang, J., Zhang, C., & Jia, W. (2026) · Biological Psychology · doi:10.1016/j.biopsycho.2026.109377
Feng, Y., Sun, X., Zhang, X., Xue, J., Liu, Z., Chen, C., Wang, J., Geng, F., Li, W., Luo, X., et al. (2026) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-026-02356-1
“…significant sex differences exist in MDD. Females con - sistently exhibit significantly higher prevalence rates and recurrence risks compared to males, which is often attributed to factors such as sex differences in emotion regulation capacity and cyclical hormonal fluctuations [ 25–28].”
Self-citationWang, Y., Hu, X., Luo, Y., Liu, D., Yan, N., Shiferaw, B. D., Mackay, L. E., Wang, Y., Wang, Y., & Wang, W. (2026) · Geriatric Nursing · doi:10.1016/j.gerinurse.2026.104295
Wang, D., Hou, X., Liu, Z., Huang, Y., Xiao, S., Li, L., Zhang, T., Yan, J., Yu, Y., Xu, X., et al. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1897102
Self-citationYang, L., Zhang, Q., Zhang, Y., Yao, K., Chen, X., Tian, H., & Zhuo, C. (2026) · ALPHA PSYCHIATRY · doi:10.31083/ap56752
“CI often leads to poor prognosis when observed in the presence of depression [3,4].”
Self-citationHuang, S., Zhou, S., Zhang, L., Wu, F., Zhang, Z., Ning, Y., Liu, Z., Wu, J., Chen, B., Lu, Q., et al. (2026) · ALPHA PSYCHIATRY · doi:10.31083/ap52350
“In China alone, more than 95 million individuals are estimated to suffer from depression, with a lifetime prevalence of 6.9% and a 12-month prevalence of 3.6% [2].”
InfluentialSelf-citationBurden of mental disorders: Evidence from the Global Burden of Disease Study 2023
Guo, J., Wang, H., Chen, Y., Tan, Y., Chen, X., Lu, J., Zou, Z., & Li, J. (2026) · Chinese Medical Journal · doi:10.1097/cm9.0000000000004280
Self-citationZheng, C., Wu, Y., Wu, L., Phillip, A., Zuo, L., & Zhang, Y. (2026) · City and Environment Interactions · doi:10.1016/j.cacint.2026.100477
Self-citationCognitive function, anxiety, and depression in patients newly diagnosed with thyroid cancer in China
Jiang, T.-X., Shi, H.-S., Zheng, Y.-N., Liu, P., & Wang, M.-F. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1908212
Xiang, M., Geng, X., Liu, L., Fu, X., Liu, R., & Li, S. (2026) · BMJ Open · doi:10.1136/bmjopen-2026-120089
Self-citationTsang, A. P. L., & Kor, P. P. K. (2026) · Healthcare · doi:10.3390/healthcare14183112
“In the nationally representative China Mental Health Survey, only 9.5% of people with a 12-month depressive disorder received treatment from any health-service institution, and only 0.5% received adequate treatment [5].”
InfluentialChen, Y., Zhao, T., Li, C., Meng, H., & Qiao, H. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2026.1920279
“In China, depressive disorders are the second leading cause of years lived with disability (3), with a lifetime prevalence of 6.8% and a 12-month prevalence of 3.6%, impacting more than 95 million individuals (4).”
InfluentialSun, Y., Zhao, Z., Sun, Y., Lao, X., Ren, Q., Miao, A., & Ruan, X. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.122531
Liu, H. (2026) · PLoS ONE · doi:10.1371/journal.pone.0359867
“A subsequent analysis documented substantial impairment and low treatment use among people with 12-month depressive disorders [2].”
Fang, M., Cao, T., Wu, J., Liu, H., 童基均, & Chen, Z. (2026) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2026.1930925
“The World Health Organization (WHO) disclosed there are approximately 350 million MDD patients (Lu et al., 2021).”
Yan, Y., Luan, Y., Sun, Q., Zhao, M., An, F., Ding, K., Wang, J., Wang, Y., Yu, R., Gao, S., et al. (2026) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2026.111975
Self-citationHan, X., Xue, Q., Yang, Z., Zhou, J., & Jiang, B. (2026) · Journal of Pharmaceutical Policy and Practice · doi:10.1080/20523211.2026.2719527
“In many settings, substantial diagnosis gaps persist, with a large proportion of individuals with depression remaining undiagnosed or untreated (Lu et al., 2021; Moitra et al., 2022; Ran et al., 2022).”
Tao, R.-S., Sun, Z.-H., & Long, R.-Y. (2026) · Chinese Medical Sciences Journal · doi:10.1016/j.cmsj.2026.08.002
Yang, S., Xing, H., Shen, W., Wang, Y., Deng, Q., He, X., & Bao, T. (2026) · Therapeutic Drug Monitoring · doi:10.1097/ftd.0000000000001529
Lin, S., Wang, G., Shao, X., Mo, Y., Song, Y., Lu, Z., Zhou, J., Lu, Z., Wen, Q., Zeng, Y., et al. (2026) · Current Issues in Molecular Biology · doi:10.3390/cimb48101075
“…Organization (WHO, 2026), approximately 322 million people suffer from depression worldwide, accounting for 4% of the global population, with an adult prevalence of 5.2%; in 2021, approximately 727,000 people died by suicide worldwide, with depression being an important contributing factor [9,10].”
Influential陈晓鹏, Wang, T., Wang, J., & Tan, J. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1944858
“Variability in intervention reporting and study design continues to limit cross-study comparison, while evidence regarding durability, adverse events, implementation, cultural adaptation, accessibility, and equity remains incomplete (49, 101, 110, 111).”
Li, P., Li, Y., Zhao, Y., 范, 新., Liu, L., Zhang, R., Gong, T., Zhang, J., Li, X., Li, C., et al. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2026.1913667
Peng, G., & Haiyan, X. (2026) · China Journal of Social Work · doi:10.1080/17525098.2026.2717209
“Recent epidemiological data reveal that depressive symptoms affect approximately 20% of Chinese adults aged 60 and above (D. Li et al. 2014; Tang, Jiang, and Tang 2021; Zhong et al. 2020), with prevalence increasing from 36.8% in 2011 to 44.5% by 2018 (Lu et al. 2021).”
InfluentialWei, S., Wu, J., & Xiao, M. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.122657
Jie, J., Yin, M., Zeng, J., & Yang, S. (2026) · Depression and Anxiety · doi:10.1155/da/4401725
“Supporting Information 5 .”
InfluentialPhysical activity and depressive symptoms among Chinese adults a cross sectional analysis
Xu, M., 袁克炳, & Zhang, X. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1989343
Yang, B. X., Chen, Y., Zou, H., Li, W., Xuan, G. O. N. G., Ho, G. W. K., & Qin, J. (2026) · JMIR Research Protocols · doi:10.2196/106341
Metadata
- Authors
- Lu, J., Xu, X., Huang, Y., Li, T., Ma, C., Xu, G., Yin, H., Xu, X., Ma, Y., Wang, L., Huang, Z., Yan, Y., Wang, B., Xiao, S., Zhou, L., Li, L., Zhang, Y., Chen, H., Zhang, T., Yan, J., Ding, H., Yu, Y., Kou, C., Shen, Z., Jiang, L., Wang, Z., Sun, X., Xu, Y., He, Y., Guo, W., Jiang, L., Li, S., Pan, W., Wu, Y., Li, G., Jia, F., Shi, J., Shen, Z., & Zhang, N.
- Affiliations
- Urumqi 4th People's Hospital (CN)
- Peking University (CN)
- Sichuan University (CN)
- Tianjin Anding Hospital (CN)
- Chinese Center For Disease Control and Prevention (CN)
- Air Force Medical University (CN)
- Central South University (CN)
- Jilin University (CN)
- First Affiliated Hospital of Kunming Medical University (CN)
- Ningxia Medical University (CN)
- Shanghai Jiao Tong University (CN)
- Qinghai No.3 People's Hospital (CN)
- Soochow University (CN)
- Nanjing Medical University (CN)
- Hangzhou Seventh Peoples Hospital (CN)
- Nanjing Brain Hospital (CN)
- Corresponding author
- Huang, Yueqin
- ORCID
- Xu, Xiufeng
- Huang, Yueqin
- Li, Tao
- Ma, Chao
- Xu, Guangming
- Yin, Huifang
- Ma, Yanjuan
- Wang, Limin
- Wang, Bo
- Xiao, Shuiyuan
- Zhou, Liang
- Li, Lingjiang
- Zhang, Yan
- Chen, Hongguang
- Zhang, TingTing
- Yan, Jie
- Ding, Hua
- Yu, Yaqin
- Kou, Changgui
- Shen, Zonglin
- Wang, Zhizhong
- Sun, Xian
- Xu, Yifeng
- He, Yanling
- Guo, Wanjun
- Jiang, Lijun
- Li, Shengyan
- Pan, Wen
- Wu, Yue
- Li, Guohua
- Shi, Jianfei
- Shen, Zhongxia
- Zhang, Ning
- Venue
- The Lancet Psychiatry
- Publisher
- Elsevier BV
- Published
- 2021-11
- Volume
- 8
- Issue
- 11
- Pages
- 981-990
- ISSN
- 2215-0366 (ISSN-L)
- OpenAlex
- W3201200719
- Cited by
- 844
- References
- 39
- Citations by year
- 2026: 150 · 2025: 228 · 2024: 211 · 2023: 166 · 2022: 82 · 2021: 7
- FWCI
- 114.04
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- The Lancet Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Key Research and Development Program of China (2017YFC0907800, 2017YFC0907801)
- Center for Mental Health Services
- Ministry of Science and Technology of the People's Republic of China (2012BAI01B01, 2015BAI13B00)
- Ministry of Health of the People's Republic of China (201202022)
- School of Medicine, Shanghai Jiao Tong University
- Peking University
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
- Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
- Social Sciences › Psychology › Clinical Psychology › Psychological Treatments and Disorders
- Keywords
- depressive disorders, prevalence, mental health service utilization, treatment seeking, major depressive disorder, dysthymia, depressive symptoms, socioeconomic factors, unemployment, disability, China, gender differences, lifetime prevalence, 12-month prevalence, treatment providers, Han Chinese, ethnic minorities, mental health policy, mental health service planning, mental health professionals
- MeSH terms
- Global Burden of Disease, Adult, Aged, China, Cross-Sectional Studies, Major Depressive Disorder, Female, Humans, Male, Mental Health Services, Middle Aged, Population Surveillance, Surveys and Questionnaires, Risk Factors, Socioeconomic Factors, Prevalence, Age Distribution, Sex Distribution, Dysthymic Disorder, Diagnostic and Statistical Manual of Mental Disorders
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 ›
Are you an author, or do you see a problem with this page? Request a review