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 701–800 of 842
Targeting mental wellness: Does China's multifaceted poverty alleviation policy bear fruit?
Hu, D., & Li, T. (2025) · China Economic Review · doi:10.1016/j.chieco.2025.102633 · Cited by 1
Self-citationHuang, T., Zhang, P., Zhou, Y., Wang, L., Zhang, Q., Li, M., & Xiao, J. (2025) · Frontiers in Pharmacology · doi:10.3389/fphar.2025.1719881
“…09 age data of milnacipran and levomilnacipran AE reports were incomplete, available records indicated that most patients were aged 18 – 64 years (49.67% and 36.22%, respectively), re fl ecting the typical adult population treated with these drugs (Fayaz et al., 2016; Lu et al., 2021).”
InfluentialSelf-citationXie, T., & Yuan, Y. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4007688
Mental illness stigma and its influential factors among psychiatrists in ChinaPreprint
Zhao, X., Wang, J., Shi, J., Chen, W., Zhou, W., & Wang, Y. (2024) · Research Square · doi:10.21203/rs.3.rs-3958901/v1
Self-citationWang, Y., Guo, D., Wang, M., Hu, M., Zhu, D., Yu, Q., Li, Z., Zhang, X., Ding, R., Zhao, M. H., et al. (2023) · Figshare · doi:10.6084/m9.figshare.24012955
Xue, Q., Xue, A., Zhang, Q., Fan, K., Chen, W., Zhao, Y., Kuang, Y., Chen, Y., Zhou, J., & Jiang, B. (2024) · Research Square · doi:10.21203/rs.3.rs-4346667/v1
Liu, C., Zhou, R., Peng, X., Zhu, T., Wei, W., & Hao, X. (2024) · Figshare · doi:10.6084/m9.figshare.26609082
Liu, C., Zhou, R., Peng, X., Zhu, T., Wei, W., & Hao, X. (2024) · Figshare · doi:10.6084/m9.figshare.26609091
Liu, C., Zhou, R., Peng, X., Zhu, T., Wei, W., & Hao, X. (2024) · Figshare · doi:10.6084/m9.figshare.26609085
Lu, Y., Li, Z., Qin, K., Chen, J., Zeng, N., Yan, B., & Liu, D. (2024) · Figshare · doi:10.6084/m9.figshare.25132116
Mao, R., Wang, C., Cui, L., Mellor, D. J., Wu, Z., & Fang, Y. (2024) · Figshare · doi:10.6084/m9.figshare.25123996
Liu, C., Zhou, R., Peng, X., Zhu, T., Wei, W., & Hao, X. (2024) · Figshare · doi:10.6084/m9.figshare.26609076
Li, M., Gao, W., Zhang, Y., Luo, Q., Xiang, Y., Bao, K., & Zaki, N. M. (2023) · Figshare · doi:10.6084/m9.figshare.24503000
Self-citationWang, W., Wang, Y., Wang, F., Chen, H., Qin, X., Yang, L., Yang, X., & Yang, L. (2024) · Figshare · doi:10.6084/m9.figshare.26036395
Self-citationXie, Y., Ma, M., & Wang, W. (2023) · Figshare · doi:10.6084/m9.figshare.23535969
Wang, X., Cao, X., Yu, J., Jin, S., Li, S., Chen, L., Liu, Z., Ge, X., & Lu, Y. (2024) · Figshare · doi:10.6084/m9.figshare.26687426
Self-citationLiu, C., Zhou, R., Peng, X., Zhu, T., Wei, W., & Hao, X. (2024) · Figshare · doi:10.6084/m9.figshare.26609073
Lv, R., Cai, M., Tang, N., Shi, Y., Zhang, Y., Liu, N., Han, T., Zhang, Y., & Wang, H. (2024) · Figshare · doi:10.6084/m9.figshare.24995565
Self-citationLiu, C., Zhou, R., Peng, X., Zhu, T., Wei, W., & Hao, X. (2024) · Figshare · doi:10.6084/m9.figshare.26609088
Zhang, F., Yu, Y., Wang, H., Zhang, Y., Bai, Y., Huang, L., & Zhang, H. (2024) · Figshare · doi:10.6084/m9.figshare.26589903
Self-citationWang, Y., Guo, D., Wang, M., Hu, M., Zhu, D., Yu, Q., Li, Z., Zhang, X., Ding, R., Zhao, M., et al. (2023) · Figshare · doi:10.6084/m9.figshare.24012949
Liu, C., Zhou, R., Peng, X., Zhu, T., Wei, W., & Hao, X. (2024) · Figshare · doi:10.6084/m9.figshare.26609094
Xie, Z., Liu, X., Hu, Z., & Dong, C. (2024) · Figshare · doi:10.6084/m9.figshare.25678613
Liu, C., Zhou, R., Peng, X., Zhu, T., Wei, W., & Hao, X. (2024) · Figshare · doi:10.6084/m9.figshare.26609079
Wang, S., Tong, L., Fu, W., & Ye, G. (2025) · Journal of Biosciences and Medicines · doi:10.4236/jbm.2025.1312025
Gao, Y., Fang, Q., Zhou, Y., Si, J., Liu, M., Liu, Y., Liu, C., Li, N., Zhai, J., Yu, H., et al. (2025) · Psychology Research and Behavior Management · doi:10.2147/prbm.s559685 · Cited by 1
“These findings indicate that IPC influences MDD risk through gender-specific pathways, underscoring the need for gender-sensitive prevention strategies.”
Chen, Z.-M., Sun, H.-L., Wang, Y.-Y., Feng, Y., Zhang, Q., Su, Z., Cheung, T. C. C., Ungvari, G. S., Xing, H.-Q., Huang, Q.-H., et al. (2025) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2025.12.020
Wilson, J., Hall, R., & Young, C. (2021) · Interdisciplinary Research in Medical Sciences Specialty · doi:10.51847/4ptkcns3x5
Yan, C., Wang, J., & Jin, B. (2025) · Annales Médico-psychologiques revue psychiatrique · doi:10.1016/j.amp.2025.11.006
Zhu, J., Xie, J., Gan, G., Lu, Z., Zhang, H., Wang, J., Dong, X., Zheng, Q., Li, L., Zhang, Y., et al. (2025) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2025.152661
Self-citationFuhua, P., Yuanyuan, W., Shisan, Q., & Junxiu, W. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1638958
Lei, H.-W., Zhang, F., Chai, R.-T., Lin, J.-W., Xie, J.-C., Zhang, S.-L., Zhang, J. I.-X., Ni, M.-Y., Zhao, J., Chen, M.-M., et al. (2026) · World Journal of Traditional Chinese Medicine · doi:10.4103/wjtcm.wjtcm_39_25
Self-citationLiu, Y., Luo, J.-J., Wang, C., Yang, Y., Zhou, L., Jin, H., Xiao, Y., Wen, Y., Ahmad, J., Ran, M. Y.-X., et al. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1725567
“Accordingly, the treatment gap for Chinese adults with depressive disorders was 90.5% (4).”
InfluentialSelf-citationJu, Z., Zhou, X., Zhu, P., Li, P., Wang, W., & Qin, J. (2026) · Medicine · doi:10.1097/md.0000000000047223
“[13,14] For comparison, data obtained from Chinese surveys reveal a current rate of 9.3% and a lifetime rate of 16.6% in adults.”
InfluentialYuan, L., Liu, J.-J., Li, Z., Zhu, Y., Ren, W., Liu, Y.-Z., Zhao, X.-L., Du, X., & Zhang, X.-Y. (2026) · World Journal of Psychiatry · doi:10.5498/wjp.v16.i2.113063
Zhang, N., Wang, C., Ga, Y., Ailimu, K., Chen, S., Miao, M., Zheng, L., Che, Y., Li, L., Luo, M., et al. (2026) · BMC Geriatrics · doi:10.1186/s12877-026-07071-z
“Nearly 12.95% to 28.4% of people older than 60 years experience depression [1, 2], of whom 7.3% meet DSM-IV criteria of major depression (MDD), although only 0.5% are considered to receive adequate treatment [3].”
InfluentialSelf-citationQian, Q., Wang, L., Zhang, B., Shen, F., Qian, J., Ye, L., Liu, J., & Zhang, X. (2026) · Scientific Reports · doi:10.1038/s41598-026-38882-0
Self-citationHow depression self-disclosure shapes engagement and discourse on Chinese social media
Hongyan, D., & Gu, L. (2026) · Digital Health · doi:10.1177/20552076261425518
Li, Z., Jiao, Z., Peng, M., Zhang, P., Xu, H., Chen, R., Ji, Q., Li, J., Chen, L., Zhao, B., et al. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1743771
Zhou, B., Sun, X., Wang, X., Zhang, X., Su, Q., Wang, S., Wang, J., Feng, Z., Xu, Y., Zhang, Y., et al. (2026) · BMC Psychiatry · doi:10.1186/s12888-026-07909-1
“Schizophrenia (SCZ) and major depressive disorder (MDD) are prevalent psychiatric disorders that impose substantial personal and societal burden [1, 2].”
Self-citationZhang, G., Gao, L., Ji, H., Zhang, T., & Zhang, Y. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.27.708446
Self-citationLu, W., Li, Y., Wang, Z., Hu, Y., Liu, X., Yang, X., Xu, H., Xu, H., Lin, C., Jiang, X., et al. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.121557
Self-citationZhang, H., Fu, T.-T., Zhang, W.-T., & Tian, F. (2026) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2026.578900
Jiang, L., Ma, Z., Li, J., Liao, J.-F., Zhao, S.-K., & Zhang, X. (2026) · Andrologia · doi:10.1155/and/7742152
Self-citationXu, H., Huang, J., Gou, M., Qi, S., An, H., Tan, K., Hu, Y., Chen, Y., Xu, J., & Tan, S. (2026) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2026.107834
Huang, W., Li, J., Wang, R., Zhang, J., Ye, X., & Chen, M. (2026) · BMC Psychology · doi:10.1186/s40359-026-04333-8
“…symptom prevalence rates reported in these two studies is considerably higher than the depressive disorder prevalence reported by Lu J et al. [3], likely due to the latter’s use of DSM-IV criteria for diagnosing depressive disorders, rather than relying solely on CESD-10 to assess symptoms.”
InfluentialSong, Z., Wang, H., Jin, M., Liu, J., Yuan, L., Zhu, Y., Lian, J., Xu, X., & Shen, Z. (2026) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2026.112199
Self-citationLi, J., Sun, C., Wang, F.-Z., Fan, B., Bai, X., Wu, Z., Shi, X., Fan, B.-L., Zou, X., & Sun, J. (2026) · Journal of Traditional Chinese Medical Sciences · doi:10.1016/j.jtcms.2026.03.006
Wang, M., Peng, F., Mu, W., Tao, Y., Zhao, H., Yin, Q., Yan, Z., & Shi, C. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1637109
Wang, Z., Sun, Y., Li, L., Dong, C., Chang, T., Cui, Y., & Guo, J. (2026) · Journal of Traditional Chinese Medical Sciences · doi:10.1016/j.jtcms.2026.03.007
Self-citationLiu, L., Tang, S., Chen, M.-Z., Nie, X., Jing Jing, L. I., Yao, L., Zeng, B.-G., Zhou, J., & Zhou, F.-Q. (2026) · World Journal of Psychiatry · doi:10.5498/wjp.v16.i4.115192
Ma, J., Wan, Y., Wang, X., Li, N., Wu, T., Gou, H., Xu, H., Huang, X., Wu, J., & Wang, J. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1775146
“Furthermore, individuals with comorbid health conditions exhibit a higher propensity for developing depression compared to those without such conditions, imposing a substantial economic burden on families and society (Lu et al., 2021; Walrave et al., 2022).”
Wan, S., Wu, H., & Zhang, L. (2026) · Aslib Journal of Information Management · doi:10.1108/ajim-04-2025-0184
Xavier, C. M. R., Faustino, L. V., Paiva, K. M., Oliveira, R. F., Gúzen, F. P., Cavalcanti, J. R. L. P., & de Araújo, D. P. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1783855
“The onset of puberty represents a pivotal neuroendocrine transition associated with increased vulnerability to mood disorders in females (Lu et al., 2021).”
InfluentialYan, C., Liu, W., Wang, Y., Zhang, N., Wang, L., & Liang, W. (2026) · Discover Psychology · doi:10.1007/s44202-026-00678-8
“commonly associated with impaired social functioning [4].”
Self-citationZhang, Z., Tang, D., Wang, X., Bu, T., & Feng, Q. (2026) · SSM - Population Health · doi:10.1016/j.ssmph.2026.101924
“Additionally, some control variables were derived from the China Statistical Yearbooks spanning 2003 to 2019, including per capita gross domestic product (GDP), population density, and the number of (assistant) physicians per 10,000 people.”
InfluentialChildhood maltreatment mediates the effect of spontaneous brain activity on depressive temperament
Zou, W., Huang, H., Zhong, L., Liu, S., Li, Z., Huang, R., Zhang, S., & Wu, H. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.121789
江, 飞. (2026) · Advances in Psychology · doi:10.12677/ap.2026.164200
Dong, Z., Wu, D., Zhang, X., Wang, H., & Luo, H. (2026) · BMC Psychology · doi:10.1186/s40359-026-04442-4 · Cited by 1
“The progressively higher global symptom scores observed in older group (from 5.67 in early middle age to 8.02 in older age), which is consistent with epidemiological findings that older age groups have a higher prevalence of anxiety and depression [3, 4].”
InfluentialMuhai, J., Liu, Z., Zhang, T., Ding, R., Li, T., Xu, G., Xu, X., Wang, L., Yan, Y., Xiao, S. J., et al. (2026) · Chinese Medical Journal · doi:10.1097/cm9.0000000000004060
“[21] Within the spectrum of psychological symptoms in major depressive disorder, psychomotor agitation or retardation was identified as a factor contributing to impaired mobility function.”
Self-citationLiu, Y., & Zhao, X. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1817281
“An epidemiological survey reported that the lifetime prevalence of depression among Chinese adults aged 50 years and older exceeds 7%, which is significantly higher than that in other age groups (3).”
Zhang, Q., Bao, C., Chen, W., Hua, L., Yan, R., Zou, H., Yao, Z., & Lu, Q. (2026) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2026.04.036
Kruk, M. E., Kapoor, N. R., Arsenault, C., Carai, S., Daray, F. M., Doubova, S. V., Ettman, C. K., Garcia, P. J., Getachew, T., García‐Elorrio, E., et al. (2026) · PLoS Medicine · doi:10.1371/journal.pmed.1004745
“We found that in China 7.5% of people with poor mental health received mental healthcare; Lu and colleagues reported fewer than 10% of respondents with major depression reported receiving any mental health treatment in 2021 [42].”
InfluentialChen, H., Zhang, X., Hong, S., Yu, Z., & Chen, W. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.121940
Self-citationJiang, G., & Wang, J. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2026.107017
Tao, W., Qiaolin, Z., Ning, X., & Caiy, Z. (2026) · Neuromodulation Technology at the Neural Interface · doi:10.1016/j.neurom.2026.04.021
Li, L., Wang, Y., Liu, X., Jiang, W., Wang, J., & Yu, M. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.121981
Self-citationChen, Y., Tian, J., Huang, K., Song, N., Zhou, Z., & Shen, Z. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1807662 · Cited by 1
Self-citationAn online dynamic nomogram for estimating NSSI behavior among adolescents with depressive disorder
Yang, R., Lu, X., Liu, Y., Wei, X., Yue, Y., Zhu, F., Zhou, Y., & Du, X. (2026) · BMC Psychiatry · doi:10.1186/s12888-026-08175-x
“In China, depressive disorder is the second-leading cause of years lived with disability (YLD) [3], with a lifetime prevalence of 3.4% and a 12-month prevalence of 2.1% [4].”
InfluentialAnalysis on Depressive Status and Its Influencing Factors among Junior High School Students
李, 慧. (2026) · Advances in Clinical Medicine · doi:10.12677/acm.2026.1651972
刘, 媛. (2026) · Advances in Clinical Medicine · doi:10.12677/acm.2026.1651974
Gender Differences in Depressive Disorder
López-Zurbano, S. (2026) · Springer eBooks · doi:10.1007/978-3-032-17883-1_17
Fusion of Time-Frequency Spatial Features for EEG Depression State Identification
Wang, Z., & Wang, Y. (2026) · Lecture notes in electrical engineering · doi:10.1007/978-981-95-6817-8_6
Self-citationLiu, Z., Chen, S., Yan, Y., Zeng, L., He, X., & Yuan, J. (2026) · BMC Psychology · doi:10.1186/s40359-026-04851-5
“Depression is expected to become the primary contributor to the global burden of disease by 2030, according to the World Health Organization (WHO) [2].”
Self-citationZhou, B., Su, Q., Wang, Z., Huo, Y., Wang, S., Feng, Z., Xu, Y., Qiu, Y., & Li, J. (2026) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-026-02283-1
“Schizophrenia (SCZ) is a chronic and severe psychiatric disorder characterized by disturbances in thinking, percep - tion, emotion, volition, and behavior, ultimately leading to impaired social functioning and heavy personal as well as societal burden [1, 2 ].”
Self-citationLiu, G., Yang, Y., Liao, J., Feng, Y., Zhang, S., & Liang, Y. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1689631
Li, H., Li, H., & Liu, F. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1839534
Resting-state EEG microstates as biomarkers for major depressive disorder
Feng, Q., Sheng, T., Chen, H., Fan, Z., & Chen, Z. (2026) · Biomedizinische Technik/Biomedical Engineering · doi:10.1515/bmt-2025-0451
“In China, MDD has become a pressing mental health issue that requires urgent attention [2].”
Self-citationYang, Q., Wu, M., Wang, X., Qin, X., Tang, Y., Yu, J., Gao, L.-N., & Li, M. (2026) · Psychiatry Research · doi:10.1016/j.psychres.2026.117265
Mu, X., Ma, H. R., & Lynn, H. (2026) · Research Square · doi:10.21203/rs.3.rs-9662270/v1
“We focus on the Center for Epidemiologic Studies Depression Scale (CES-D) as the outcome of interest since depression is highly prevalent among the middle-aged and elderly population and ranks second highest in China in terms of number of disability-adjusted life years 11,12 .”
WU, M., Li, A., Meng, K., Yi, Y., Zhang, Z., Shi, C., He, Y., Ouyang, X., Tan, C., & Wan, X. (2026) · BMC Medicine · doi:10.1186/s12916-026-04982-x
“This issue is particularly prevalent in low-and middle-income countries (LMICs) like India and in rapidly transitioning economies such as China, where detection and treatment rates remain persistently low [15, 16].”
Self-citationDing, Y., Dong, X., Wang, Q., & Xu, T. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1856338
Peng, Y., Cheng, J., Wang, M., Rehman, S., Xiong, J., Qin, X., Peng, Z., Mao, W., Chen, Q., Zhang, L., et al. (2026) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2026.06.001
Self-citationMiller, A. P., Saldana, C. D. R., Kiene, S. M., Menya, E., Figge, C. J., Sentongo, H. L., Byansi, W., Mugamba, S., Kalani, K. O., Tuhebwe, D., et al. (2026) · PLOS Global Public Health · doi:10.1371/journal.pgph.0006566
“Mental and substance use disorders are leading causes of disability and mortality globally, with low and middle-income countries disproportionately burdened [1].”
Liu, Z., Qi, Y., Cheng, W., Wen, Y., Qiao, D., Zhang, Y., Huang, F., Lu, Y., Li, G. L., Li, H., et al. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.122128
Self-citationJi, X., & Yang, Y. (2026) · Health Policy and Technology · doi:10.1016/j.hlpt.2026.101275
Jing, S., Dai, Z., Xin, Y., Liu, X., Yang, X. L., Liu, X., Fan, J., Wang, Y., Lai, L., Ouyang, Z., et al. (2026) · Brain Topography · doi:10.1007/s10548-026-01225-3
“This approach would facilitate early-stage depression screening, thereby mitigating multidimensional burdens, including the psychological stress, physiological impairments, and financial strain imposed by depression on affected individuals (Lu et al. 2021; Wu and Pan 2019).”
Zhou, W., Zhang, H., Jiang, Y., Li, Y., Shi, G., Zhao, H., Wang, W., Liao, Y., Liu, Y., Hao, J., et al. (2026) · JMIR mhealth and uhealth · doi:10.2196/68394
“Moreover, despite the high prevalence of MDD in China (6.8%), the service coverage rate remains strikingly low at only 9.5% [15].”
InfluentialTao, M., Ai, S., Gu, X., Wang, M., 孙明莉, & Wang, H.-L. (2026) · Current Research in Toxicology · doi:10.1016/j.crtox.2026.100312
“Similarly, the prevalence of anxiety disorders in China was reported at 4.98% in 2017, a figure significantly exceeding those from the 1980s and 1990s (Lu et al., 2021; Huang et al., 2019).”
InfluentialGuo, J., Cao, X., Liu, C., Chen, F., Ye, Z., & Qiu, T. (2026) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2026.179093
Zhang, C., Zhang, W., Bai, J., Deng, X., Zhao, J., Cui, J., Ji, J., Li, T., Wang, Y., Li, K. E., et al. (2026) · BMC Psychiatry · doi:10.1186/s12888-026-08332-2
“We hypothesized that [1] adolescents with MDD would exhibit disrupted intra-and inter-network connectivity within the DMN, SN, CEN, and DAN; [2] dynamic functional connectivity would show altered state transitions and mean dwell times; and [3] these abnormalities would correlate with depressive…”
Self-citationXiong, T., Wang, Y., Xia, Y., Tang, H., Hua, L., Lin, P., Yao, Z., & Lu, Q. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.122182
Lyu, M., Tan, L., Liu, F., Lei, J., Jiang, T., Qi, J., Wang, X., Yang, H., Zhong, J., & Feng, Z. P. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1785437
TranDep: a transcriptomics atlas of depression
Zhong, X., Gui, S., Wang, D., He, Y. F., Chen, X., Chen, Y., Chen, X., Jiang, Y., Qiao, R., Ren, Y., et al. (2026) · Molecular Psychiatry · doi:10.1038/s41380-026-03726-w
Self-citationZheng, J., Yao, D., & Li, J. (2026) · BMC Palliative Care · doi:10.1186/s12904-026-02210-0
“However, there is currently a severe shortage of mental health professionals in China [27], and only a small proportion have received systematic training in grief therapy and counseling [28].”
Zhang, Z., Wang, Y., Wei, L., & Wu, G. (2026) · Personality and Individual Differences · doi:10.1016/j.paid.2026.113973
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