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 601–700 of 842
Woman's self-realization in the system and structure of family relations
Vуsotska, O., Falova, O., Rysovana, L. M., Platyniuk, O., & Bazhenov, O. (2024) · Wiadomości Lekarskie · doi:10.36740/wlek/195464 · Cited by 1
“Social networks and mass culture create new standards of success and self-realization [6,7], and most research focuses on individual aspects, such as professional self-realization, psychological well-being, sexual problems, and the distribution of roles in the family [8].”
HUANG, J. C., Lu, J., Wang, S., & Rao, W. (2025) · Current Psychology · doi:10.1007/s12144-025-07717-y · Cited by 1
“Additionally, societal biases and discrimination against obesity lead to reduced social support for obese individuals, making Depressive symptoms were more severe in women than in men in this study, which was consistent with other studies (Lu et al., 2021; Qin & Hsieh, 2023).”
Self-citationWang, Q., Wu, Y., Zhang, Y., Li, K., Su, Y., & Si, T. (2025) · BMC Psychology · doi:10.1186/s40359-025-02740-x · Cited by 1
“Nevertheless, the proportion of individuals in China who actively seek mental health care remains low [22],leading to missed opportunities for professional screening among the general population.”
Self-citationJalilul, S. A. A. J. A. (2025) · SOCIAL PSYCHOLOGY AND HUMAN EXPERIENCE · doi:10.62596/azc29b94 · Cited by 4
Ma, J., Yang, H., Li, R., Yuan, X., Pan, C., Li, F., Yang, D., Bie, Z., Zheng, J., & Li, Y. (2025) · Psychiatry Research · doi:10.1016/j.psychres.2025.116576 · Cited by 2
Xiao, M.-T., Wang, S., Wu, X., Zhao, Z., Wang, H., Liu, H., Qin, X., & Liu, X. (2025) · Journal of Chinese Integrative Medicine · doi:10.1016/j.joim.2025.07.009 · Cited by 1
Zhang, H., Zhang, S., Zhou, M., Geng, C., & Ding, X. (2025) · Risk Management and Healthcare Policy · doi:10.2147/rmhp.s529124 · Cited by 1
A study of Bouldering psychotherapy intervention for depression: a review of the literature
Wei, B., Pan, M., Wang, Y., Sun, H., & Huang, J. (2025) · Frontiers in Humanities and Social Sciences · doi:10.54691/asmexr29 · Cited by 1
“Compared to men, women suffer from depression at a higher rate People who are separated, widowed, or divorced are more likely to be stricken by depression than those who are married or cohabiting[7].”
Chen, R., Liu, Y.-Y., Yang, S.-C., Lin, Z.-P., Yu, G.-L., Wang, W., Wei, D., Li, W., Wang, H., Zhang, M., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-20683-6 · Cited by 1
“These findings emphasize the urgent need for targeted capacity-building initiatives that encompass all hospital levels and 2015 51 .”
Self-citationHou, Z., Li, T., He, X., Zhang, Y., Chen, H., Jiang, W., Yin, Y., & Yuan, Y. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.788398 · Cited by 1
Self-citationAvaliação do estado nutricional e consumo alimentar de pacientes com depressão
Barros, A. Q. S., Albuquerque, L. M., Lourenço, M. L. M. C., Fernandes, M. S. M., Fontenele, Y. E. D. A., & Sampaio, H. A. D. C. (2022) · Research Society and Development · doi:10.33448/rsd-v11i10.32956 · Cited by 1
Yuan, W., Zhang, Y., Chen, L., Jiang, J., Chen, M. M., Liu, J. Y., Ma, T., Ma, Q., Cui, M. J., Guo, T. J., et al. (2023) · PubMed Central · doi:10.19723/j.issn.1671-167x.2023.03.007 · Cited by 1
Self-citationDong, H., Tang, S., Gong, Y. R., Zhao, X., Qian, Y., Feng, Y., Chen, L., & Sun, W. (2023) · Research Square · doi:10.21203/rs.3.rs-2993986/v1 · Cited by 1
Anxiety and sleep disorders in depressed patients are affected by resting state EEG rhythmPreprint
Xiong, X. H., zhang, J., He, J., Wang, C., Liu, R., Wang, A., Sun, Z., & Zhang, J. (2023) · Research Square · doi:10.21203/rs.3.rs-3574061/v1 · Cited by 1
Wang, X., Lv, Q., Lu, M., & Qu, W. (2024) · Research Square · doi:10.21203/rs.3.rs-4606742/v1 · Cited by 1
Easily Misdiagnosed cblC Deficiency in Adolescents: the Clinical and Metabolic StudiesPreprint
Chen, Z., Dong, H., Liu, Y., He, R., Song, J., Jin, Y. S., Li, M., Liu, Y., Liu, X., Yan, H., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-1154169/v1
Self-citationLu, G., Xiao, S., He, J., Xie, W., Ge, W., Meng, F., Yang, Y., Yu, S., & Liu, R. (2022) · Research Square · doi:10.21203/rs.3.rs-1614035/v1
Self-citationLu, G., Xiao, S., He, J., Xie, W., Ge, W., Meng, F., Yang, Y., Yu, S., & Liu, R. (2022) · Research Square · doi:10.21203/rs.3.rs-1614035/v2
Self-citationEpidemiological Comorbidity of Mental Disorders in China: Data Analysis and ImplicationPreprint
Xu, Y., Hu, Q., Kou, C., Huang, Y., Liu, Z., Chen, J., Yao, H., Wang, Y., Zhang, T., Yan, Y., et al. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4191452
Self-citationRen, Z., Du, Y., Lian, X., Zheng, X., & Liu, J. (2022) · medRxiv · doi:10.1101/2022.09.14.22279926
Zhang, T., Kan, L., Jin, C., & Shi, W. (2022) · medRxiv · doi:10.1101/2022.09.07.22279699
Self-citationFactors Associated Depression In Secondary Schools Adolescents In Gombe, North-eastern, Nigeria
Olatoke, L., Jalo, I., Makput, D. M., & Aliu, R. (2022) · Jewel Journal of Medical Sciences · doi:10.56167/jjms.2022.0302.07 · Cited by 1
Xie, Y., Ye, S., Li, Y., He, J., & Han, X. (2023) · Research Square · doi:10.21203/rs.3.rs-2791624/v1
Research Progress of Depression Prevention and Treatment with Chinese Medicine
Zhu, H.-F. (2023) · Advances in Clinical Medicine · doi:10.12677/acm.2023.134975
Effect of smoking on suicide in adolescents with major depressive disorder
Zhang, X., & Liang, J. (2023) · MEDS Public Health and Preventive Medicine · doi:10.23977/phpm.2023.030205
“Considered to be the second leading cause of disability, MDD is a common mental disease[1].”
BackgroundSu, Y., Luo, M., Li, J., Wang, Z., Yang, X., & Wang, Y. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4508680 · Cited by 1
Self-citationFeng, S., Junqi, W. A. N. G., Hangyu, L. I., Tianyi, W. A. N. G., Jialin, L. I. U., LIANG, Y., Wang, Y., Liu, J., Han, D., & Yixing, L. I. U. (2023) · Research Square · doi:10.21203/rs.3.rs-3124094/v1
Che, X., Quan, P., Yang, Y.-N., & Hu, X. (2023) · Research Square · doi:10.21203/rs.3.rs-3494729/v1
李, 宪. (2023) · Advances in Clinical Medicine · doi:10.12677/acm.2023.13112457
Чорна, В. В., & Маkhniuk, V. М. (2023) · Polonia University Scientific Journal · doi:10.23856/5926
Li, Y., Wang, Y., Tang, X., Liang, P., Chen, J., Jiang, F. X., Yang, Q., & Liang, Y. (2023) · World Journal of Psychiatry · doi:10.5498/wjp.v13.i12.1005
Cui, X., Qin, Z., Gao, Z., Wan, W., & Gu, Z. (2023) · PubMed Central · doi:10.7507/1001-5515.202210065
A Classification Method for Depression Based on MRI
Zhou, C., Zeng, F., & Xing, J. (2023) · International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) · doi:10.1109/iccwamtip60502.2023.10387112
“However, less than 7% of patients truly receive regular treatment, persist in taking medication, and actively seek psychological counseling [2].”
BackgroundInfluentialJiao, Q., Dong, Y., Ma, X., Ji, S. S., Liu, X., Zhang, J., Sun, X., Li, D., Luο, X., & Zhang, Y. (2024) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s453447
Self-citationDid war have a more adverse impact on women's long-term health outcomes: Evidence from ChinaPreprint
zhen, Z., Tang, D., Wang, X., Bu, T., & Feng, Q. (2024) · Research Square · doi:10.21203/rs.3.rs-3973151/v1
A Cross-Sectional Study of Peripheral Blood Inflammatory Ratios in Mood Disorder Patients
张, 延. (2024) · Advances in Clinical Medicine · doi:10.12677/acm.2024.143703
(2024) · Frontiers research topics · doi:10.3389/978-2-8325-4665-9
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.24995477
Self-citationHou, X., Wan, J., Peng, L., Sheng, J., Long, N., & Mao, P. (2024) · PubMed Central · doi:10.11817/j.issn.1672-7347.2024.230333
Meilicke, H. M. X., Hui, Y., Li, J., Čolić, L., Wu, S., Chen, S., Zhang, S., Li, R., Lv, B., Li, H., et al. (2024) · Biomarkers in Neuropsychiatry · doi:10.1016/j.bionps.2024.100094
Self-citationWang, Y., Ying, Y., Zhu, Z., Wang, L., Yang, Y., Zhang, L., Yu, W., Liang, Y., Ji, Y., & Pan, Y. (2024) · Research Square · doi:10.21203/rs.3.rs-4285302/v1
Self-citationZhang, K., Huang, B., & Divigalpitiya, P. (2024) · Research Square · doi:10.21203/rs.3.rs-4512676/v1
Wang, M., Chen, T., He, Z., Chan, L., Guo, Q., Cai, S., Duan, J., Zhang, D., Wang, X., Fang, Y., et al. (2024) · medRxiv · doi:10.1101/2024.07.02.24309338
Zha, Y., Ye, Y., Feng, X., Li, Y., Lou, X., Wang, Y., Xu, L., Qin, X., Wei, S., & Yin, X. (2024) · Current Psychology · doi:10.1007/s12144-024-06319-4
“For example, using LPA, researchers identified three latent subgroups among youth survivors of the Lushan earth-quake, characterized by mild, moderate, and high depression/anxiety (Y. Wang et al., 2021).”
An, R., Cui, L., Yang, L., Zhang, H., Qi, S., & Guo, H. (2024) · China CDC Weekly · doi:10.46234/ccdcw2024.176
谢, 睿. (2024) · Advances in Clinical Medicine · doi:10.12677/acm.2024.1482377
Guo, T., Feng, Y., Zhou, J., Meng, L., Zhu, X., Xu, C., Xiao, L., Feng, L., Zhang, L., Xiang, Y., et al. (2024) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s462884
Ren, Z., & Xie, Z. (2024) · Psychoanalytic Inquiry · doi:10.1080/07351690.2024.2376469
“…that the number of people suffering from psychological disorders is far more than the number of people seeking help from psychological treatment (Lu et al., 2021), perhaps reflecting the fact that few people in the overall population choose psychotherapy as a problem-solving method to address…”
Rapid detection of depression by volatile organic compounds from exhalation
Chen, T., Jin, M., Chen, L., Cai, X. X., Huang, Y., Shen, K., Li, Y., Chen, X., & Chen, L. (2024) · Journal of Breath Research · doi:10.1088/1752-7163/ad7eef
Self-citationDepression Detection Based on Multilevel Semantic Features
Yao, X., Ying, L., He, T., Ren, L., Xu, R., & Mao, K. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72353-7_4
Co-Morbidity of Insomnia and Depression from a Chinese Perspective
高, 涛. (2024) · Advances in Clinical Medicine · doi:10.12677/acm.2024.14102686
Liu, L., Liu, B., Zheng, J., Wang, L., Liao, Z., & Xu, H. W. (2024) · BMC Public Health · doi:10.1186/s12889-024-20292-4
“A national epidemiological survey in China showed that the lifetime prevalence of depression was higher in the middle-aged and older population than in other age groups [4].”
BackgroundSelf-citationStudy on Auxiliary Diagnosis of Depression Based on Gas Discharge Visualization Technology
Gao, F., Li, L., & Hu, Q. (2024) · Integrative Medicine Reports · doi:10.1089/imr.2024.0021
Self-citationZheng, T., Guo, Y., & Hong, R. (2024) · Lecture notes in computer science · doi:10.1007/978-981-97-8487-5_25
Sun, P., Huang, Y., Yu, H., Wu, X., Chen, J., Fang, Y., & Zhang, X. (2024) · BMC Psychiatry · doi:10.1186/s12888-024-06256-3
“1): Inclusion criteria include: [1] Age between 18 and 60 years old; [2] Meeting the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) criteria for MDD; [3] The first episode of MDD without antidepressant (ADs) or antipsychotic treatment; [4] the 17-item Hamilton Depression Scale…”
BackgroundInfluentialSelf-citationAssociation of physical activity and sedentary behaviour with depressive symptoms in Chinese adults
Xu, Z., Shen, S., Huang, X., Fu, Y., & Wu, Y. (2024) · Journal of Sports Sciences · doi:10.1080/02640414.2024.2425909
“…as the world’s largest developing country, depression has been becoming the second leading cause of disability in China since 2010 (G. Yang et al., 2013), and study also revealed that treat-ment rates of depression were very low and few adults in China received adequate treatment (Lu et al., 2021).”
InfluentialSelf-citationChanges in College Students’ Depression from 2003 to 2021: A Cross-Temporal Meta-Analysis
刘, 艳. (2024) · Advances in Psychology · doi:10.12677/ap.2024.1412909
邹, 振. (2025) · Advances in Clinical Medicine · doi:10.12677/acm.2025.151031
Leite, T. R. A., Leitão, D. A., Martins, L. B., & Bisol, L. W. (2025) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-025-01960-x
“Depression is much more com - mon in women than men, with a lifetime odds ratio (OR) of 1.44 (95% CI 1.20–1.72) for women and an OR (1.87 (90% IC) for divorced, separated or widowed people [ 9].”
InfluentialChen, J., Zhang, Y., Zhou, S., Yang, C., Li, L., Ma, L., & Zhu, S. (2025) · BMC Public Health · doi:10.1186/s12889-025-21727-2
“Depression has become a widespread mental health issue that affects various population groups [1], with a life-time prevalence of approximately 6.8% among adults in China [2].”
InfluentialSelf-citationMai, J., Zhou, T., Wang, C., Ye, J., Chen, J., Wang, W., Pan, Y., Wei, Y., Yuan, L., Yang, H., et al. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1491410
“Recent research in China reported an 8.29% prevalence of moderate to severe depression in 2021 (3, 4).”
InfluentialChen, S., Zhou, J., Lang, X., & Zhang, X. (2025) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-025-01980-7
“A cross-sectional epidemiological study in China found that lifetime prevalence and 12-month prevalence were higher in women than in men [9].”
Liang, L., Liu, T., Ollier, W., Peng, Y., Zhu, Z., Lu, Y., & Che, C. (2025) · doi:10.2196/preprints.73809
Disgust-induced attentional blink at Lag3: a diagnostic and therapeutic approach to depression
Wang, Y., Wang, Q., Chen, L., Dong, X., & Xu, T. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1569746
“For individuals with depression who often exhibit social withdrawal tendencies, disengaging from such emotional cues may be particularly dif fi cult (35, 36).”
Shomoossi, N., Farahani, M. V., Rakhshani, M. H., Hoseini, B. L., & Feizabad, A. K. (2025) · Health Scope · doi:10.5812/healthscope-150584
许, 静. (2025) · Journal of Clinical Personalized Medicine · doi:10.12677/jcpm.2025.42235
Ren, Z., & Xie, Z. (2025) · Psychoanalytic Inquiry · doi:10.1080/07351690.2025.2461633
A Pharmacovigilance Update about Drug-induced Depression and Suicidal Behaviors
Chen, J., Wang, S., Yang, W., Xu, J., Yang, M., & Dai, H. (2025) · Current Psychiatry Research and Reviews · doi:10.2174/0126660822361079250329171531
Wang, X., Che, Y., & Wang, W. (2025) · Medicine · doi:10.1097/md.0000000000042169
“[3] Moreover, a concerning observation from this study was the apparent inadequacy of treatment with only a fraction of patients receiving sufficient medical attention.”
Well-being and biological cost of family members affected by substance use disorder of others
Chen, Z.-R., Zhang, N.-N., Cao, W.-Y., Liu, Q., Cui, Y.-H., Lu, X.-Y., Yao, J.-Y., Li, F., & Li, C.-Q. (2025) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-025-02019-7
“%) and the 16.6% reported in a cross-sectional epidemiological study of the general population in China [ 32 ].”
InfluentialSelf-citationResearch Progress on Homocysteine Levels, Depression and Sleep Disorder
比努力·阿斯木江, 素. (2025) · Advances in Clinical Medicine · doi:10.12677/acm.2025.1551371
Li, M., Zhuang, S., & Gao, Y. M. (2025) · Frontiers in Medicine · doi:10.3389/fmed.2025.1513614
“In China, women are more likely to be depressed than men, the unemployed are more likely to be depressed than the employed, and those who are separated, widowed or divorced are up to 13% more likely to be depressed than those who are married or cohabiting (3).”
Yin, Q. S., & Liu, X.-N. (2025) · Psycho-Oncologie · doi:10.18282/po3611
Liu, Y., Wang, Q., Zhang, S., & Zhang, W. (2025) · Lecture notes in computer science · doi:10.1007/978-981-96-6588-4_6
Fu, Q.-N., Xiao, K., Zhang, J., Yang, L., Wang, Y., Jiang, M., Man, Z., Yang, J., & Lu, W. (2025) · doi:10.2196/preprints.79327
Chang, J. (2025) · BIO Web of Conferences · doi:10.1051/bioconf/202518201012
Song, Z., Zhang, D., Yang, L., Zhao, N., Huang, X., Yang, Y., Liu, Y., Zhu, P., & Zheng, R. (2025) · Midwifery · doi:10.1016/j.midw.2025.104510 · Cited by 2
Li, B., Guo, S., Liu, L., Xu, H. Y., Chen, H., Song, J., Chen, Y., Du, X., & Tan, S. (2025) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2025.104609
Self-citationShen, W., Li, Z., Tao, Y., Zhou, H., Wu, H., Shi, H., Huang, F., & Wu, X. (2025) · Current Pharmaceutical Design · doi:10.2174/0113816128369486250519021344
Duah, H. K. (2025) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2025.101774
Qiu, N., Li, P., Li, Y., Li, K., Yan, H., Gan, X., Li, Y., Hu, L., Becker, B., & Yao, D. (2025) · medRxiv · doi:10.1101/2025.07.28.25332298
“Major Depressive Disorder (MDD) is a highly prevalent mental disorder and a leading cause of disability worldwide, with prevalence rates continuing to rise globally [1, 2].”
Nguyen, T. T. T., Xian, Y., Gibb, A. J., Zheng, Y.-N., Lv, M., Wang, Y.-W., Lin, Z., Yuan, M., & Xu, H. (2025) · World Journal of Traditional Chinese Medicine · doi:10.4103/wjtcm.wjtcm_45_25
Yu, T., Wang, J., Li, Y., Li, M., Dove, A. E., & Jiang, Y. (2025) · Research Square · doi:10.21203/rs.3.rs-7238043/v1
Hao, S., & Zhang, X. (2025) · Current Psychology · doi:10.1007/s12144-025-08335-4
“The 3.9% prevalence is also remarkably consistent with large-scale epidemiological data from China (e.g., Lu et al., 2021, reporting a 12-month prevalence of 3.8%), offering an indirect point of reference for the DDS’s performance.”
InfluentialWang, S., Zhou, W., Feng, H., & Zhang, X. Y. (2025) · Current Psychology · doi:10.1007/s12144-025-08199-8
“In China, for instance, studies report that less than 10% of individuals with MDD receive any form of treatment, and fewer than 1% receive adequate, evidence-based care (Lu et al., 2021).”
Unveiling the role of cathepsins in depression: a Mendelian randomization study
Zhuo, G., Chen, W., Xu, F., Zhu, X., Zhang, J., Su, M., Fu, Y., Chen, X., & Wu, L. (2025) · Postgraduate Medical Journal · doi:10.1093/postmj/qgaf104
Wu, X., Zhou, W., Wu, S., & Yu, B. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.120334
Zhao, J., Ji, J., Cao, A., Ni, J., & Cao, T. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1613331
“Previous studies showed that female patients had a higher prevalence of any depressive disorders (32)and were more likely to seek treatment in clinical settings (33, 34).”
Wu, G., Xu, J., Wu, W., Jin, J., Li, S., Huang, Y. M., Zhang, Z., Hu, Y., Zhang, Y., Liu, Y., et al. (2025) · Food Science & Nutrition · doi:10.1002/fsn3.70961
“The China Mental Health Survey (CMHS) showed higher depression prevalence in women (lifetime OR = 1.44; 12-month OR = 1.41) (Lu et al. 2021), with increased risks of suicidal behavior and liver disease (Kim et al. 2023; Xu et al. 2021).”
InfluentialSelf-citationQi, S.-F., Zhang, W.-H., Du, L.-Y., & Hu, J. (2025) · Frontiers in Global Women s Health · doi:10.3389/fgwh.2025.1641022 · Cited by 1
“A previous study indicated that the prevalence of depression and anxiety among Chinese women during pregnancy was 5.2% and 8.0%, respectively (28, 29).”
InfluentialLee, D., Cai, K., Tong, J., & Yan, M. (2025) · International Journal of Social and Psychological Aspects of Healthcare · doi:10.51847/fnii5dqqs3
Effects of different intake levels of brown rice and whole wheat on the mental state of mice
Zhi, L., Wu, T., Zhu, Y., Zhao, Q., Xue, Y., & Shen, Q. (2025) · Food Chemistry · doi:10.1016/j.foodchem.2025.146664
Liu, J., Lai, H., Zhao, W., Huang, J., Pan, B., Estill, J. A. M., & Ge, L. (2025) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2025.10.008 · Cited by 1
Qiu, Z., Hu, L., Yuan, E., Ai, Z., Liu, R., & Li, H. (2025) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2025.120745
Zhang, C., Tian, X. S., Li, M., Liu, Y., Gao, Y. H., & Li, J. (2025) · Journal of Neural Transmission · doi:10.1007/s00702-025-03037-4 · Cited by 3
Zhang, Y., Tan, C., Liu, D., Yang, S., Shi, L., & Zhao, M. (2025) · Complementary Therapies in Medicine · doi:10.1016/j.ctim.2025.103293
Self-citationHou, S., Xu, F., Hu, L. F., Zheng, Y., Shi, L., & Zhai, L. (2025) · Chinese Science Bulletin (Chinese Version) · doi:10.1360/csb-2025-5347
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