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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.
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“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 301–400 of 842
Chen, D., Duan, S., Shi, J., Jiang, X., & Wang, Y. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-06692-9 · Cited by 6
“This limitation is particularly evident in China, where a large number of individuals with depressive disorders do not seek professional help, and only 0.5% receive adequate treatment [7].”
InfluentialSelf-citationZhang, J., Wang, T., Wu, W., Ye, J., Wei, H., Gao, Y., & Xiao, A. (2025) · Psychiatry Research · doi:10.1016/j.psychres.2025.116572 · Cited by 7
Hua, H., Yang, K., Wei, Z., Hu, W., Jin, S., & Wang, J. (2025) · BMC Public Health · doi:10.1186/s12889-025-23241-x · Cited by 8
“…impairment of social functioning, but the utilization rate of health services is very low, with the survey data showing that the lifetime prevalence of depressive disorders in adults is 6.8%, and only 0.5% of patients receive adequate treatment with a shortage of more than 20,000 physicians [4].”
InfluentialZhang, L., Wu, T., Li, J., Du, C., Chi, R., Jiang, K., Qiu, H., Hsu, Y., Dong, W., Wang, H., et al. (2025) · Therapeutic Advances in Psychopharmacology · doi:10.1177/20451253251360400 · Cited by 6
“30 This observation under-scores the common challenges in the mental health management in China.”
Gut–brain axis and depression: focus on the amino acid and short-chain fatty acid metabolism
Chen, M., Lyu, Q., Huang, L., Lou, Y., & Wang, L. (2025) · Behavioural Pharmacology · doi:10.1097/fbp.0000000000000851 · Cited by 6
Self-citationXiao, Y., Zhou, Y., Xu, L., & Yu, L. (2025) · Scientific Reports · doi:10.1038/s41598-025-11546-1 · Cited by 6
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Shen, L., Jia, G., Zhang, Y., & Xue, Z. (2025) · BMC Geriatrics · doi:10.1186/s12877-025-06547-8 · Cited by 6
“The incidence of depression in China is increasing annually, with more than 95 million people suffering from it, further intensifying the burden on individuals and society, which is primarily related to the expansion of the aging population [5].”
Self-citationYao, Y., Xiao, Y., Li, Y., Hou, W., Peng, R., Li, L., Zhou, Q., Wang, Y., Liao, K., Zhang, N., et al. (2025) · BMC Public Health · doi:10.1186/s12889-025-25661-1 · Cited by 6
“This study found that elderly abuse was correlated with depressive symptoms among older adults, which was similar to the previous research [23].”
Self-citationHuang, J., Li, C., Ge, H., Wu, L., Xiao, L., Xie, Y., & Wang, G. (2026) · Molecular Neurobiology · doi:10.1007/s12035-026-05733-y · Cited by 6
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Wang, X., Sun, Q., Du, X., & Rong, J. (2023) · Journal of Public Health · doi:10.1007/s10389-023-01892-7 · Cited by 6
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Sun, T., Chen, G., Jiang, W., Xu, W. G., You, L., Jiang, C., Chen, S., Wang, D., Zheng, X., & Yuan, Y. (2024) · Bipolar Disorders · doi:10.1111/bdi.13439 · Cited by 7
Serum proteomic analysis uncovers novel serum biomarkers for depression
Guo, A., Wang, B., Ding, J., Zhao, L., Wang, X., Huang, C. Y., & Guo, B. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1346151 · Cited by 6
Self-citationCheng, Y., Wei, Y., & Tang, S.-L. (2024) · Depression and Anxiety · doi:10.1155/2024/2304723 · Cited by 6
“…of mental disorders in the Chinese population, it was found that the prevalence of major depressive disorder is signi fi cantly higher among individuals aged 50 and above, such as those aged 50 – 64 (OR 2.27 (95 % CI 1.64 – 3.14)) and those aged 65 and above (OR 2.13 (95 % CI 1.39 – 3.26)) [1].”
InfluentialYuan, W., Yang, T., Chen, L., Zhang, Y., Liu, J., Song, X., Jiang, J., Yang, Q., Wang, R., Guo, T., et al. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.08.026 · Cited by 6
Self-citationDark and Blue: A meta-analysis of the relationship between Dark Triad and depressive symptoms
Lyu, C., Xu, D., & Chen, G. (2024) · Journal of Research in Personality · doi:10.1016/j.jrp.2024.104553 · Cited by 6
Yao, Y., Yang, Y., Liao, M., Yuan, Z., & Guo, S. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.03.064 · Cited by 6
Wang, N., Sun, J. Y., Pang, T., Zheng, H., Liang, F., He, X., Tang, D., Yu, T., Xiong, J., & Chang, S. (2022) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2022.845212 · Cited by 7
Jiang, Y. B., Chen, Y., Zheng, R., Zhou, B., Wei, Y., Gao, A., Wei, Y., Li, S., Guo, J., Han, S., et al. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.868135 · Cited by 6
Self-citationHu, Y., Huang, Y., Wang, L., Liu, Z., Wang, L., Yan, J., Zhang, M., Lv, P., Guan, Y., Ma, C., et al. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.889823 · Cited by 6
Self-citation[Neuromodulation: Past, Present, and Future].
Xie, H.-T., & Zhang, J. (2022) · PubMed Central · doi:10.12182/20220760101 · Cited by 6
Genetic similarities and differences among distinct definitions of depression
Wu, Y., Wang, L., Zhang, C., Li, M., & Li, Y. (2022) · Psychiatry Research · doi:10.1016/j.psychres.2022.114843 · Cited by 7
Self-citationChen, X., Chen, J., Han, X., Zhao, Y. W., Cao, J., Jiao, X.-Z., Liu, H., Guo, C.-L., Meng, S., Liang, S., et al. (2022) · Chinese Journal of Integrative Medicine · doi:10.1007/s11655-022-3685-6 · Cited by 6
“blood, and other internal diseases; (4) depressive episodes secondary to other mental or somatic diseases; (5) depressive episodes of bipolar disorder; (6) patients who have taken paroxetine or other antidepressants within 5 weeks; (7) those who are unsupervised or unable to take medicine as prescribed by the doctor;…”
BackgroundZhu, Q., Zheng, Y., Lang, X., Fu, Z., Zhang, P., Jiang, G., & Zhang, X. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1101865 · Cited by 7
Dai, Z., Fu, J., Qu, Y., Wu, Y., Si, M., Chen, X., Wang, H., Xiao, W., Huang, Y., Yu, F., et al. (2023) · Brain and Behavior · doi:10.1002/brb3.2946 · Cited by 6
Self-citationLi, C., Liu, J., Ju, Y., Liu, B., & Zhang, Y. (2023) · International Journal of Social Psychiatry · doi:10.1177/00207640231164020 · Cited by 6
“Depression has led to a heavy psychosocial and economic burden on families and society in China (Lu et al., 2021; Zhou et al., 2017).”
Self-citationChina released the latest national mental health report: A blueprint for the future
Kong, L., Lai, J., & Hu, S. (2023) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2023.103624 · Cited by 6
Tang, T.-R., Wang, M., Li, H., Yang, S., Zhang, C., Lin, W., Ke, X., Zhang, H.-Y., Su, J., & Zhu, S. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1150998 · Cited by 6
Prevalence and Risk Factors of Anxiety Among Adult Patients with Chronic Pharyngitis in Wuhu, China
Zha, Z.-H., Gao, S., Liu, S.-F., & Hu, G.-Q. (2023) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s415938 · Cited by 3
“6%.(19) Our results suggested that the incidence rate of anxiety is significantly higher in patients with CP than in the general population.”
Peng, C., Wang, L., Zhao, G., & Li, W. (2024) · Psychiatry Research · doi:10.1016/j.psychres.2024.115750 · Cited by 6
Self-citationTan, X., Wu, J., Zhang, H., Li, Y., Huang, Y., Zheng, P., & Xie, P. (2024) · Journal of Advanced Research · doi:10.1016/j.jare.2024.05.013 · Cited by 7
“Moreover, depressive disorders have been expected to be the second leading cause of years lived with disability in China [2].”
Self-citationTang, X., Wong, D. F. K., Xu, H., & Hou, L. (2021) · Health & Social Care in the Community · doi:10.1111/hsc.13660 · Cited by 6
Ho, R., Olszewska-Guizzo, A. (., Roberts, A. C. (., Russo, A. (., & Kühn, S. (2023) · Frontiers research topics · doi:10.3389/978-2-8325-3324-6 · Cited by 9
Prevalence of mental disorders in China
Xiang, Y., Cai, H. X., Sun, H., Su, Z., Cheung, T. C. C., & Ng, C. H. (2021) · The Lancet Psychiatry · doi:10.1016/s2215-0366(21)00430-2 · Cited by 6
Department of Mental Rehabilitation, R. H. O. H. P., Liu, L., Wang, K., Department of Clinical psychiatry, R. H. O. H. P., Xu, D., Department of Mental Rehabilitation, R. H. O. H. P., Wang, Y., Department of Clinical psychiatry, R. H. O. H. P., Xu, X., Department of Clinical psychiatry, R. H. O. H. P., et al. (2024) · ALPHA PSYCHIATRY · doi:10.5152/alphapsychiatry.2024.241731 · Cited by 5
Self-citationXiang, Y., Wang, L., Gu, P., Wang, C., Tian, Y., Shi, W., Deng, F., Zhang, Y., Li, G., Wang, K., et al. (2023) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-023-01222-8 · Cited by 5
“Depressive disorder in Chinese adults is a leading cause of years lived with disability, with a lifetime prevalence of 6.8% and only 0.5% (12 of 1,007) adequately treatment in the past 12 months (Lu et al., 2021).”
InfluentialSelf-citationLü, L., He, P., Qiu, X., Qiu, S., Chen, J., & Wang, J. (2025) · BMC Geriatrics · doi:10.1186/s12877-025-05710-5 · Cited by 5
Zhao, Y., Zhang, H., Li, J., Song, S., Lian, C., Liu, Y., Wang, Y., & Fu, C. (2025) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2025.3552835 · Cited by 5
“5%undergoing comprehensivecare[9].”
Cai, K., Chen, X., Cao, Y., Ran, L., Bu, Q., Hu, D., Feng, Z., & Cao, M. (2025) · BMC Complementary Medicine and Therapies · doi:10.1186/s12906-025-04898-8 · Cited by 6
“A cross-sectional epidemiological survey conducted in China on a large scale revealed that a mere 0.5% of patients diagnosed with depression receive adequate treatment [4].”
InfluentialTian, W., Yan, G., Zhang, X., Shui, D., Liu, T., Yang, J., Li, Z., Hou, H., Zhang, P., Hu, C., et al. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.119516 · Cited by 7
Lin, S., Li, S., & Fang, Y. (2025) · BMC Geriatrics · doi:10.1186/s12877-025-06101-6 · Cited by 5
Self-citationSong, J., Hou, X., Zhang, T., Huang, Y., Wang, X., Xu, X., Wang, Z., Xu, Y., Li, T., Li, M., et al. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.120007 · Cited by 5
Self-citationHuang, Z., Li-Ya, A., Yan, K., Ran, H., Che, Y., Yang, R., Jiang, L., Xiao, R., Zeng, R., Li, T., et al. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1645303 · Cited by 7
“However, treatment rates remain notably low (2).”
Self-citationLi, H., Song, D.-Y., Weng, Y.-Q., Tong, Y., Wu, Y., & Wang, H. (2025) · World Journal of Psychiatry · doi:10.5498/wjp.v15.i9.109789 · Cited by 5
Self-citationLi, X., Zhang, J., Li, G., Xu, L., Li, Y., Wei, P., & Zhang, L.-H. (2025) · Scientific Reports · doi:10.1038/s41598-025-27084-9 · Cited by 3
“24 .”
Self-citationHong, S., Yu, M., Zheng, Y., Wang, S., Zhang, J., Pan, B., Situ, H., Guo, L., Zhong, S., Chen, Y., et al. (2026) · Chinese Medicine · doi:10.1186/s13020-025-01283-y · Cited by 6
“TCM stands out as the most commonly utilized complementary and alternative therapy for both cancer and depressive disorders, especially in China [22, 24].”
InfluentialSelf-citationHuang, X. L., Sun, Y., Wu, A., & Zhang, X. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1173917 · Cited by 5
106 Cases of homicide poisoning in China-A retrospective study
Tao, Z. (2023) · Legal Medicine · doi:10.1016/j.legalmed.2023.102317 · Cited by 5
Pang, J., Xu, Y., Liu, Q., Huang, J., Li, P., Ma, L., Zeng, C., Ma, X., & Xie, H. W. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1436722 · Cited by 5
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BackgroundSelf-citationWang, W. Q., Zhang, C., Song, Y., Wang, G., Lv, X., & Zhong, X. (2024) · American Journal of Epidemiology · doi:10.1093/aje/kwae339 · Cited by 5
Cong, A., Shang, L., Yan, F., Zhao, Y., Qi, H., Huang, Q., Li, J., Sun, H., Han, L., Zhang, F., et al. (2024) · BMJ Open · doi:10.1136/bmjopen-2023-083374 · Cited by 5
Self-citationMao, R., Xu, J., Peng, D., Chen, J., Wu, Z., & Fang, Y. (2024) · BMC Psychiatry · doi:10.1186/s12888-024-06172-6 · Cited by 5
“Previous research has indicated gender differences in various aspects among individuals with MDD, including prevalence, recurrence rates, and clinical characteristics [8, 9].”
BackgroundZhu, T., Zhang, L., Weng, W., Gan, R., Sun, L., Wei, Y., Zhu, Y., Yu, H., Xue, J., & Chen, S. (2025) · Journal of Medical Internet Research · doi:10.2196/55583 · Cited by 5
“A recent study revealed that, in China, fewer than 10% of patients with depression received any form of treatment, with only 0.5% receiving adequate care [6].”
InfluentialDai, Q., Li, M., Wang, Z., Xu, Q., Zhang, X., & Tao, L. (2024) · Healthcare · doi:10.3390/healthcare12242539 · Cited by 5
“The lifetime prevalence of depression in Chinese adults is approximately 6.8%, leading to significant social and functional impairment [2], while the overall prevalence of depressive symptoms among elderly people in China is 23.6%, and it is still exhibiting a sustained upward trend [3].”
InfluentialSelf-citationKe, Y., Zhao, Y., Bennett, D., Wright, N., Im, P. K., Sun, D., Pei, P., Chen, Y., Yang, L., Avery, D., et al. (2025) · The Innovation · doi:10.1016/j.xinn.2025.100886 · Cited by 5
“32 These limitations, coupled with the absence of a multidimensional mental health evaluation in the CKB cohort (e.g., neuropsychological testing or symptom severity grading), likely attenuated the observable associations, which underscore the necessity of implementing hybrid assessment protocols…”
Self-citationZhou, Y., Liao, J., & Wu, Y. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70542 · Cited by 5
Self-citationWang, S., Zhang, Y., Ding, W., Meng, Y., Hu, H., Guan, Y., Zeng, X., Liu, Z., Meng, F., Wang, M., et al. (2025) · Epidemiology and Psychiatric Sciences · doi:10.1017/s2045796025100243 · Cited by 5
Self-citationThe social determinants of depressive disorders in China
Wáng, Q. (2021) · The Lancet Psychiatry · doi:10.1016/s2215-0366(21)00389-8 · Cited by 5
Li, Z., Ma, Y., Bo, D., Hu, B., He, H., Jia, J., Xiong, M., Xu, T., Xu, B., & Xi, W. (2023) · Behavioural Brain Research · doi:10.1016/j.bbr.2023.114496 · Cited by 5
Self-citationQian, K., Wang, D., Sun, Y., Ye, X., Wang, D., & Xu, H. (2023) · Frontiers in Nutrition · doi:10.3389/fnut.2023.1180858 · Cited by 5
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Liu, Z., Zhou, Z., Ma, J., Dong, J., Sun, Y., Pang, M., & Huang, Y. (2023) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2023.103900 · Cited by 5
Self-citationVu, Q. T., Harada, K., Nishimura, Y., Hagiya, H., Tan, E., Lehasa, O. M.-E., Zamami, Y., & Koyama, T. (2024) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2024.02.041 · Cited by 4
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Bian, A., Xiao, F., Kong, X., Ji, X., Fang, S., He, J., Liu, Q., Zhong, R., Yao, S., Luo, Q., et al. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.03.029 · Cited by 5
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Zhang, Y. (2024) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-024-02642-0 · Cited by 5
Self-citationGao, Y., Fu, L., & Shen, Y. (2024) · Sustainability · doi:10.3390/su16114772 · Cited by 5
“In addition to these factors, marital status and education level have been shown to significantly affect the mental health outcomes of female migrants due to access to resources, emotional and social support and socioeconomic status [10].”
BackgroundMin, Y., Wei, X., Yang, C., Duan, Z., Yang, J., Ju, K., & Peng, X. (2024) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2024.116531 · Cited by 5
Yang, H., Chen, Y., Tao, Q., Shi, W., Tian, Y. Q., Wei, Y., Li, S., Zhang, Y., Han, S., & Cheng, J. (2024) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2024.111052 · Cited by 5
Self-citationLiu, R., Liu, C., Feng, D., Guo, T., & Wang, Y. (2024) · Frontiers in Pharmacology · doi:10.3389/fphar.2024.1414703 · Cited by 5
Exploring linguistic features and user engagement in Chinese online mental health counseling
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Li, J., Jiang, C., Liu, R., Lai, Y., Li, L., Zhao, X., Wang, X., Li, L., Du, X., Ma, C., et al. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2022.858751 · Cited by 5
Self-citationHe, Q., Cheng, G., He, S., Tian, G., Xie, X., Jiang, N., Min, X., Li, C., Li, R., Shi, Y., et al. (2023) · Frontiers in Pediatrics · doi:10.3389/fped.2023.1135876 · Cited by 5
Self-citationMental Health First Aid training for China: protocol for a randomised controlled trial
Reavley, N. J., Morgan, A. J., Jorm, A. F., Kitchener, B. A., Lu, S., Li, W., Wang, Y., Kelly, C. M., Zhao, M., & He, Y. (2023) · Advances in Mental Health · doi:10.1080/18387357.2023.2274044 · Cited by 5
“%) participants with depressive disorders were treated within the previous 12 months, while only 3.6% received specialist mental health treatment, and only 0.5% were treated adequately (Lu et al., 2021).”
InfluentialSelf-citationPrevalence of mental disorders in China – Author's reply
Huang, Y. (2021) · The Lancet Psychiatry · doi:10.1016/s2215-0366(21)00465-x · Cited by 5
Self-citationWei, G.-X., Ge, L.-K., & Lin, X. (2024) · Chinese Science Bulletin (Chinese Version) · doi:10.1360/tb-2024-0034 · Cited by 5
Diao, Y., Sun, Y., Tucker, J. D., & Yang, F. (2024) · Sexual Health · doi:10.1071/sh24016 · Cited by 4
Tan, J.-Q., Gu, L.-M., Zhou, Y., Wang, C., Lan, X., Zheng, W., & Ning, Y. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1498952 · Cited by 4
Jin, W., Peng, W., & Tang, S. (2025) · European Journal of Psychotraumatology · doi:10.1080/20008066.2025.2484872 · Cited by 4
“All of these elements were integrated into a mini programme nested in WeChat, a widely used messaging and calling App in China and connects over a billion people (CNBS, 2023).”
InfluentialTang, L., Wu, L., Dai, M., Liu, N., & Liu, L. (2025) · Scientific Reports · doi:10.1038/s41598-025-97623-x · Cited by 4
“In China, the world’s most populous country, a national survey revealed that depression is the second leading cause of disability, underscoring the urgent need to address this growing public health concern 5 .”
Hu, J.-T., Cao, Y., Liu, L.-L., Wang, D., Zhu, P., Du, X., Ji, F., Peng, R., Tian, Q., & Zhu, F. (2025) · World Journal of Psychiatry · doi:10.5498/wjp.v15.i6.106017 · Cited by 8
Wu, S., Liu, Y., Mo, H., Li, L., Li, Z., & Ying, Y. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1494629 · Cited by 4
“Data from the 2021 China Mental Health Survey shows that the 12-month treatment rate for depressive disorders was only 9.5%, with less than 0.5% receiving adequate treatment (11).”
InfluentialSelf-citationBi, S., Li, G., Tan, H., Chen, Y., & Guo, D. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-07178-4 · Cited by 4
“The prevalence of depression in middle-aged and elderly individuals is 7.4%, which is 1% point higher than in younger groups [8].”
InfluentialSelf-citationZhang, Y., Huang, Y., Zhang, W., Shi, Y. L., Mou, Y., Lan, Y., Sharma, M., Zhang, L., & Zhao, Y. (2025) · Healthcare · doi:10.3390/healthcare13161951 · Cited by 4
Self-citationLi, X., & Xia, C. (2025) · Journal of Development Economics · doi:10.1016/j.jdeveco.2025.103619 · Cited by 4
Zhao, H., Sun, M., Li, G., Han, Q., Jiang, M., & Shen, Y. (2025) · British Journal Of Nutrition · doi:10.1017/s0007114525105102 · Cited by 4
Self-citationGinsenoside compound K ameliorates depressive-like behaviors by targeting kynurenine 3-monooxygenase
Li, W., Kong, Z., Yang, L., Chen, F., Chen, Y., Han, J., Sheng, C., Li, Z., Hu, Y., Zhao, Y., et al. (2025) · Phytomedicine · doi:10.1016/j.phymed.2025.157335 · Cited by 5
Kuang, J., Zhong, J., Huang, X., Yao, K., & Xu, M. (2025) · Acta Psychologica · doi:10.1016/j.actpsy.2025.105933 · Cited by 4
Gong, Z., Yang, J., Wang, Y., Liang, W., Luo, S., Li, X., & Yue, G. (2025) · Scientific Reports · doi:10.1038/s41598-025-27535-3 · Cited by 4
Cai, D.-B., Ying-yan, D. E. N. G., Tang, Y.-Y., Qin, X., Deng, C.-J., Lu, Q., Lan, X.-C., Wang, J.-J., Huang, X., & Yang, X.-H. (2025) · European journal of medical research · doi:10.1186/s40001-025-03447-w · Cited by 4
“Major depressive disorder (MDD) and bipolar depression (BD) were the highly prevalent mental illness and were associated with decreased quality of life, increased suicidal rates, and remain the most burdensome disorders worldwide [1, 2].”
Ran, H., Chang, W., Xu, C., Che, Y., Fang, D., Chen, L., Wang, S., Liang, X., Sun, H., Peng, J., et al. (2024) · Archives of Public Health · doi:10.1186/s13690-024-01393-3 · Cited by 4
“Although several newly published studies have estimated the prevalence of depressive disorders (DD) in Chinese adults [3–5], for children and adolescents who have already entered the period of depression onset, the severity of the problem remains unknown due to the lack of nationally representative…”
BackgroundBao, M., & Ma, R. (2024) · BMC Psychiatry · doi:10.1186/s12888-024-06312-y · Cited by 4
Zhao, H., Xu, M., Han, Y., Liu, S., & Gong, Y. (2025) · PLoS ONE · doi:10.1371/journal.pone.0319465 · Cited by 4
Wang, Y., & Li, C. (2025) · Digital Health · doi:10.1177/20552076251326673 · Cited by 6
“11 Indeed, the COVID-19 global pandemic had a severe impact on people ’ s mental health, 12 but its effects were not evenly distributed across geographic locations and population groups, and even exacerbated existing mental health inequalities.”
Development and validation of a predictive model for depression risk in Chinese obese adults
Yu, C., Cao, J., Chen, W., & Hong, E. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1574386 · Cited by 4
“Second, the nomogram was developed based on data from China, and whether the results of this study can be extended to other regions and countries needs to be further validated using data from external cohorts.”
InfluentialCheng, J., Liu, Z., Zhu, R., Liu, Q., Han, H., Liu, N., Shi, J., Han, S., & Ma, N. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.119734 · Cited by 4
Self-citationYang, M., Yao, Y., Shen, H., Teng, F., Liu, Y., Ma, Y., Di, B., & Su, M. (2025) · Microchemical Journal · doi:10.1016/j.microc.2025.114446 · Cited by 4
Self-citationXiong, J., Yu, Y., Qin, X., Peng, Y., Peng, Z., Cheng, J., Mao, W., Wang, Y., Guo, Y., Li, H., et al. (2025) · BMC Medicine · doi:10.1186/s12916-025-04290-w · Cited by 5
“However, nationwide surveys in China showed that only 0.5% of people with depression are adequately treated [66], suggesting minimal therapeutic confounding in our cohort.”
InfluentialSelf-citationYue, X., Zhang, C., Wang, Z., Yu, Y., Cong, S., Shen, Y., & Zhao, J. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2025.108379 · Cited by 4
Self-citationZhang, T., Shi, Z.-M., Zeng, L., & Wang, J. (2025) · Springer eBooks · doi:10.1007/978-981-96-8504-2_3 · Cited by 4
Self-citationYang, X., Zhang, L., Lin, H., Lin, H., Cao, W., & Chang, C. J. (2023) · Tobacco Induced Diseases · doi:10.18332/tid/163258 · Cited by 4
Prediction of depression onset and development based on network analysis
Weixia, Z., Min, X., Tiantian, Y., Cheng, W., & Shubin, S. (2023) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2023.02129 · Cited by 4
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
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