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Luo XY, Yu M, Li HJ, Kong XY, Zou ZM, Ye XC. Structural characteristics and potential antidepressant mechanism of a water-insoluble β-1,3-glucan from an edible fungus Wolfiporia cocos. Carbohydr Polym 2025; 348:122779. [PMID: 39562060 DOI: 10.1016/j.carbpol.2024.122779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 06/30/2024] [Accepted: 09/18/2024] [Indexed: 11/21/2024]
Abstract
A water-insoluble β-1,3-glucan (Wβ) with a molecular weight of 8.12 × 104 Da was extracted from an edible fungus Wolfiporia cocos. Its backbone was composed of 1,3-β-linked Glcp branched at the C-2, C-4, and C-6 positions, connecting more 1,3-β-linked Glcp with a triple helical structure. Wβ effectively ameliorated depressive symptoms, abnormality of neurotransmitters and inflammatory factors in chronic unpredictable mild stress (CUMS)-induced rats. Wβ also altered the composition of gut microbiota, especially Romboutsia, norank_f_Muribaculaceae and Ruminococcus. Integration of untargeted and targeted metabolomics and Western blotting analysis suggested that the short-chain fatty acids (SCFAs) and tryptophan metabolites were the most important metabolites involved in Wβ mediation. Wβ significantly modulated the levels of 7 SCFAs and 7 tryptophan metabolites, as well as the protein expression of two related enzymes (indoleamine-2,3-dioxygenase: IDO; kynurenine-3-monooxygenase: KMO). Our results suggest that Wβ exerts its antidepressant effect by influencing neurotransmitters and inflammatory factors through interactions between the gut microbiota, SCFA and tryptophan metabolites. The findings offer new insights into water-insoluble polysaccharides, especially β-glucan in structure analysis and utilization, and provide evidence that Wβ, a novel glucan from the often-discarded water-insoluble part of Wolfiporia cocos, has potential application in antidepressant health products.
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Affiliation(s)
- Xin-Yao Luo
- Hubei Key Laboratory of Resources and Chemistry of Chinese Medicine, School of Pharmacy, Hubei University of Chinese Medicine, Wuhan 430065, China; State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China
| | - Meng Yu
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China
| | - Hui-Jun Li
- Hubei Key Laboratory of Resources and Chemistry of Chinese Medicine, School of Pharmacy, Hubei University of Chinese Medicine, Wuhan 430065, China
| | - Xin-Yu Kong
- Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China
| | - Zhong-Mei Zou
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China.
| | - Xiao-Chuan Ye
- Hubei Key Laboratory of Resources and Chemistry of Chinese Medicine, School of Pharmacy, Hubei University of Chinese Medicine, Wuhan 430065, China; Hubei Shizhen Laboratory, Hubei University of Chinese Medicine, Wuhan 430065, China.
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Wang Y, Huang C, Li P, Niu B, Fan T, Wang H, Zhou Y, Chai Y. Machine learning-based discrimination of unipolar depression and bipolar disorder with streamlined shortlist in adolescents of different ages. Comput Biol Med 2024; 182:109107. [PMID: 39288554 DOI: 10.1016/j.compbiomed.2024.109107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 08/30/2024] [Accepted: 09/02/2024] [Indexed: 09/19/2024]
Abstract
BACKGROUND Variations in symptoms and indistinguishable depression episodes of unipolar depression (UD) and bipolar disorder (BD) make the discrimination difficult and time-consuming. For adolescents with high disease prevalence, an efficient diagnostic tool is important for the discrimination and treatment of BU and UD. METHODS This multi-center cross-sectional study involved 1587 UD and 246 BD adolescents aged 12-18. A combination of standard questionnaires and demographic information was collected for the construction of a full-item list. The unequal patient number was balanced with three data balancing algorithms, and 4 machine learning algorithms were compared for the discrimination ability of UD and BD in three age groups: all ages, 12-15 and 16-18. Random forest (RF) with the highest accuracy were used to rank the importance of features/items and construct the 25-item shortlist. A separate dataset was used for the final performance evaluation with the shortlist, and the discrimination ability for UD and BD was investigated. RESULTS RF performed the best for UD and BD discrimination in all 3 age groups (AUC 0.88-0.90). The most important features that differentiate UD from BD belong to Parental Bonding Instrument (PBI) and Loneliness Scale of the University of California at Los Angeles (UCLA). With RF and the 25-item shortlist, the diagnostic accuracy can still reach around 80 %, achieving 95 % of the accuracy levels obtained with all features. CONCLUSIONS Through machine learning algorithms, the most influencing factors for UD and BD classification were recombined and applied for rapid diagnosis. This highly feasible method holds the potential for convenient and accurate diagnosis of young patients in research and clinical practice.
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Affiliation(s)
- Yang Wang
- College of Management, Shenzhen University, Shenzhen, China
| | - Cheng Huang
- Greater Bay Area International Institute for Innovations, Shenzhen University, Shenzhen, China
| | - Pingping Li
- Greater Bay Area International Institute for Innovations, Shenzhen University, Shenzhen, China
| | - Ben Niu
- College of Management, Shenzhen University, Shenzhen, China
| | - Tingxuan Fan
- Greater Bay Area International Institute for Innovations, Shenzhen University, Shenzhen, China
| | - Hairong Wang
- Greater Bay Area International Institute for Innovations, Shenzhen University, Shenzhen, China
| | | | - Yujuan Chai
- School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518060, China.
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Zhang S, Wu S, Guo R, Ding S, Wu Y. Patterns of intrinsic capacity trajectory and onset of activities of daily living disability among community-dwelling older adults. J Glob Health 2024; 14:04159. [PMID: 39392073 PMCID: PMC11467824 DOI: 10.7189/jogh.14.04159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/12/2024] Open
Abstract
Background Global population ageing has brought about new challenges for elderly care. Exploring intrinsic capacity (IC) over time, which is designed as a composite measure of an individual's physical and mental capabilities, is essential for promoting healthy ageing and preventing dependency, such as that emerging from disability in activities of daily living (ADL). We aimed to identify and examine the differences between classes of IC trajectory and onset of ADL disability. Methods We conducted an observational study using data from three waves (2011-15) of the China Health and Retirement Longitudinal Study, comprising 2609 participants with 6034 observations. IC was measured by five domains, including locomotion, cognition, psychological, sensory capacities, and vitality. We used joint latent class modelling to identify distinct classes with similar patterns of IC trajectory and onset of ADL disability, as well as to explore the variation in IC trajectory and predict five-year risks of ADL disability considering the heterogeneity in the elderly population. Results The average baseline IC score was 7.15 (range: 0-15). We observed that IC scores slowly decreased with age, with 17.25% of participants developing ADL disability. We identified three classes of IC, which could be described as moderate health (class 1: n = 1634, 62.63%), at-risk (class 2: n = 716, 27.44%; had the highest risk of ADL disability), and optimal health (class 3: n = 259, 9.93%; had the lowest baseline risk of ADL disability). The probability of being in the moderate health class was decreased the most by emotional problems (odds ratio (OR) = 0.219; P < 0.001). Having a self-rated poor standard of living substantially reduced the chances of moderate (OR = 0.308; P = 0.001) and optimal health (OR = 0.110; P < 0.001). Conclusions Observing IC trajectories and the onset of ADL disability can stratify the elderly into heterogeneous groups, as well as provide data for implementing person-centred care plans to reverse the trend and delay the adverse outcomes in clinical practice.
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Affiliation(s)
- Shan Zhang
- School of Nursing, Capital Medical University, Beijing, China
| | - Shuqing Wu
- Department of Cardiology, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Rongrong Guo
- School of Nursing, Capital Medical University, Beijing, China
| | - Shu Ding
- School of Nursing, Capital Medical University, Beijing, China
- Nursing department, Beijing Chaoyang Hospital Affiliated to Capital Medical University, Beijing, China
| | - Ying Wu
- School of Nursing, Capital Medical University, Beijing, China
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Sun KS, Lam TP, Cai J, Lam KF, Wu D, Kwok KW, Zhou X. Impact of training on primary care physicians' management of depression and anxiety disorders in rural China. Int J Soc Psychiatry 2023; 69:388-395. [PMID: 35549586 DOI: 10.1177/00207640221094957] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Primary care physicians (PCPs) in rural township health centers are the most easily accessible doctors to the residents in rural China, which covers 35% of the population. High prevalence of depression was reported among rural left-behind elderly and children as many workers had migrated to urban cities. AIM This study explored mental health care provision by PCPs in rural China and the association with their training background. METHODS Rural township health centers in both developed and less developed counties of Zhejiang Province, China were chosen as the study sites. A total of 697 PCPs completed questionnaires between December 2019 and January 2020, and the number of valid questionnaires was 673, with a valid response rate of 79.3%. RESULTS The rural PCPs reported a median range of seeing 1 to 5 mental health patients per week. Over two-thirds (68.2%) of the respondents had never received any training on treating common mental health disorders (depression and anxiety) while 20.3% received at most 2 days of training; 6.4% received 3 to 20 days of training; and 5.1% received over 20 days of training. PCPs with mental health training were significantly associated with better mental health care in terms of confidence and practice characteristics (e.g. having patients who brought up mental health issues, providing follow-up), while years of practice made a difference in practice but not confidence. CONCLUSIONS Training is the key determinant of the practice of mental health care by the PCPs in rural China. Our findings have implications for national policy to target two-thirds of rural PCPs who received no mental health training.
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Affiliation(s)
- Kai Sing Sun
- Department of Family Medicine and Primary Care, The University of Hong Kong, P.R. China.,JC School of Public Health and Primary Care, The Chinese University of Hong Kong, P.R. China
| | - Tai Pong Lam
- Department of Family Medicine and Primary Care, The University of Hong Kong, P.R. China
| | - Jingjing Cai
- The Institute of Social and Family Medicine, Zhejiang University School of Medicine, Hangzhou, P.R. China
| | - Kwok Fai Lam
- Department of Statistics and Actuarial Science, The University of Hong Kong, P.R. China
| | - Dan Wu
- International Diagnostic Centre, Clinical Research Department, London School of Hygiene & Tropical Medicine, UK
| | - Kit Wing Kwok
- Department of Family Medicine and Primary Care, The University of Hong Kong, P.R. China
| | - Xudong Zhou
- The Institute of Social and Family Medicine, Zhejiang University School of Medicine, Hangzhou, P.R. China.,The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, P.R.China
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Humanistic and economic burden associated with depression in the United States: a cross-sectional survey analysis. BMC Psychiatry 2022; 22:542. [PMID: 35953786 PMCID: PMC9367058 DOI: 10.1186/s12888-022-04165-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 07/25/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Depression (major depressive disorder [MDD]) affects the functioning of patients in many facets of life. Very few large-scale studies to date have compared health and economic related outcomes of those with versus without depression, and across various depression severity groups. We aimed to evaluate humanistic and economic burden in respondents with and without depression diagnosis, and across symptom severity groups. METHODS Data from the 2017 US National Health and Wellness Survey (NHWS) were utilized. Of the adult respondents (N = 75,004), 59,786 were < 65 years old. Respondents not meeting eligibility criteria were excluded (e.g., those self-reporting bipolar disorder or experiencing depression in past 12 months but no depression diagnosis). Overall, data from 39,331 eligible respondents (aged 18-64 years) were analyzed; and comprised respondents 'with depression diagnosis' (n = 8853; self-reporting physician diagnosis of depression and experiencing depression in past 12 months) and respondents 'without depression diagnosis' (n = 30,478; no self-reported physician diagnosis of depression and not experiencing depression). Respondents with depression were further examined across depression severity based on Patient Health Questionnaire-9 (PHQ-9). Outcome measures included health-related quality-of-life (HRQoL; Medical Outcomes Study 36-item Short Form [SF-36v2]: mental and physical component summary [MCS and PCS]; Short-Form 6 Dimensions [SF-6D]; and EuroQol 5 Dimensions [EQ-5D]), work productivity and activity impairment (WPAI), and health resource utilization (HRU). Multivariate analysis was performed to examine group differences after adjusting covariates. RESULTS Respondents with depression diagnosis reported significantly higher rates of diagnosed anxiety and sleep problems versus those without depression (for both; P < 0.001). Adjusted MCS, PCS, SF-6D, and EQ-5D scores were significantly lower in respondents with depression versus those without depression (all P < 0.001). Consistently, respondents with depression reported higher absenteeism, presenteeism, and overall WPAI, as well as greater number of provider visits, emergency room visits, and hospitalizations compared with those without depression (all P < 0.001). Further, burden of each outcome increased with an increase in disease severity. CONCLUSIONS Diagnosed depression was associated with lower health-related quality-of-life and work productivity, and higher healthcare utilization than those without depression, and burden increased with an increase in symptom severity. The results show the burden of depression remains high even among those experiencing minimal symptoms.
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Pan J, Zhou K, Wang J, Zheng Y, Yu D, Kang H, Zhang Y, Peng S, Tung TH, Shen B. Quality of Life and Mental Health Status in Recovered COVID-19 Subjects at Two Years after Infection in Taizhou, China: A Longitudinal Cohort Study. Brain Sci 2022; 12:939. [PMID: 35884745 PMCID: PMC9316455 DOI: 10.3390/brainsci12070939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 07/14/2022] [Accepted: 07/15/2022] [Indexed: 11/17/2022] Open
Abstract
According to previous studies, mental status in 1-year COVID-19 survivors might range from 6-43%. Longer-term psychological consequences in recovered COVID-19 subjects are unknown, so we analyzed longer-term quality of life and mental status in recovered COVID-19 subjects at 2 years after infection. Among 144 recovered COVID-19 subjects in the Taizhou region, 73 and 45 completed face-to-face follow-ups at the first year and second year after infection, respectively, with a 61.7% follow-up rate. The questionnaire, which was administered at both follow-ups, included questions about quality of life, psychological health, and post-traumatic stress disorder (PTSD). The Mann-Whitney U test was used to the differences of each scale between the first and second year. Among the 45 people who completed both follow-up visits, the incidence of psychological problems was 4.4% (2/45) in the first year, and no new psychological abnormalities were observed in the second year. Quality of life improved, while the General Health Questionnaire (GHQ-12) and Impact of Event Scale-Revised (IES-R) scores did not improve over time. The incidence of mental disorders was lower than those in previous studies. Multidisciplinary management for COVID-19 in this study hospital may have reduced the frequency to a certain extent. However, among those with mental health problems, such problems may exist for a long time, and long-term attention should be given to the psychological status of recovered COVID-19 subjects.
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Affiliation(s)
- Juan Pan
- Department of Clinical Laboratory, Taizhou Hospital, Zhejiang University, Linhai 317000, China;
| | - Kai Zhou
- Department of Clinical Laboratory, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai 317000, China; (K.Z.); (J.W.); (Y.Z.); (D.Y.); (H.K.); (Y.Z.); (S.P.)
| | - Jing Wang
- Department of Clinical Laboratory, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai 317000, China; (K.Z.); (J.W.); (Y.Z.); (D.Y.); (H.K.); (Y.Z.); (S.P.)
| | - Yufen Zheng
- Department of Clinical Laboratory, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai 317000, China; (K.Z.); (J.W.); (Y.Z.); (D.Y.); (H.K.); (Y.Z.); (S.P.)
| | - Die Yu
- Department of Clinical Laboratory, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai 317000, China; (K.Z.); (J.W.); (Y.Z.); (D.Y.); (H.K.); (Y.Z.); (S.P.)
| | - Haixin Kang
- Department of Clinical Laboratory, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai 317000, China; (K.Z.); (J.W.); (Y.Z.); (D.Y.); (H.K.); (Y.Z.); (S.P.)
| | - Yanjie Zhang
- Department of Clinical Laboratory, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai 317000, China; (K.Z.); (J.W.); (Y.Z.); (D.Y.); (H.K.); (Y.Z.); (S.P.)
| | - Shuotao Peng
- Department of Clinical Laboratory, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai 317000, China; (K.Z.); (J.W.); (Y.Z.); (D.Y.); (H.K.); (Y.Z.); (S.P.)
| | - Tao-Hsin Tung
- Evidence-Based Medicine Center, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai 317000, China
| | - Bo Shen
- Department of Clinical Laboratory, Taizhou Hospital, Zhejiang University, Linhai 317000, China;
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Peng A, Qiu X, Ji S, Hu D, Dong B, Song T, Huang C, Chen L. The impact of childhood parental loss on risk for depression and anxiety in adulthood: A community-based study in Southwest China. J Affect Disord 2022; 298:104-109. [PMID: 34715182 DOI: 10.1016/j.jad.2021.10.093] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 09/14/2021] [Accepted: 10/23/2021] [Indexed: 02/08/2023]
Abstract
PURPOSE Lack of parental raising is an important reason for parental loss in China due to urbanization. We aimed to explore the association between parental loss (including parental death, divorce, alcoholism, crime, drug addiction, bedridden, and lack of parental raising) before 17 years old and mental health disorders in adulthood in Southwest China. METHODS Childhood parental loss, age, gender, socioeconomic status, smoking, drinking, and medical history were self-reported. Patient Health Questionnaire 9 (PHQ-9) and Generalized Anxiety Disorder 7 (GAD-7) were used for identifying depression and anxiety, respectively. We use logistic regression with inverse probability weighting according to the propensity score to assess the risk of childhood parental loss on mental health disorders in adulthood. RESULTS A total of 8014 adults were enrolled in this study. Childhood parental loss increased the risk of adulthood depression (OR, 1.60, 95%CI, 1.30-1.98) but not anxiety (p= 0.07) after adjustment of all covariates. Sensitivity analyses including logistic regression with original data, nearest neighbor matching, full matching, and propensity score as the only covariate all yielded similar results. LIMITATIONS Recall bias could not be fully eliminated due to the retrospective nature of study design. Our study had been conducted in a less-prosperous area in Southwest China and the results may not be representative at nation level. CONCLUSIONS Childhood parental loss was associated with depression in adulthood in Southwest China, highlighting the need for early intervention in children with parental loss, to prevent long-term negative effects on their mental health.
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Affiliation(s)
- Anjiao Peng
- Department of Neurology and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China
| | - Xiangmiao Qiu
- Department of Neurology and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China
| | - Shuming Ji
- Department of Project Design and Statistics, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China
| | - Dan Hu
- Department of Clinical Research Management, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China
| | - Bosi Dong
- Department of Neurology and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China
| | - Tingting Song
- Department of Neurology and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China
| | - Cheng Huang
- Rehabilitation Medicine Center, West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China
| | - Lei Chen
- Department of Neurology and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China.
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Qiu H, Wang L, Zeng X, Pan J. Comorbidity patterns in depression: A disease network analysis using regional hospital discharge records. J Affect Disord 2022; 296:418-427. [PMID: 34606805 DOI: 10.1016/j.jad.2021.09.100] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 08/31/2021] [Accepted: 09/26/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Depression is a psychiatric disorder with a high comorbidity burden; however, previous comorbidity studies predominately focused on a few common diseases and relied on self-reported data. We aimed to investigate the comorbid status of depression concerning the entire spectrum of chronic diseases using network analysis. METHOD Totally, 22,872 depressed inpatients and one-to-one matched controls were enrolled in the retrospective study. Hospital discharge records were aggregated to measure the comorbidities, where those with a prevalence ≥ 1% were selected for further analysis. Based on the co-occurrence frequency, sex- and age-specific comorbidity networks in depressed patients were constructed and the results were compared with the controls. Louvain algorithm was used to detect the highly interlinked communities. RESULTS Depressed patients had 4 comorbidities on average, and 84.4% had at least one comorbidity. The comorbidity network in depression cases was more complex than controls (connections of 839 vs. 369). Intricate but distinct communities appeared within the comorbidity network in depressed patients, where the largest community included cerebrovascular diseases, chronic ischaemia heart disease, atherosclerosis and osteoporosis. Sex-specific central diseases existed, and cardiovascular diseases were the major central diseases to both gender. The older the depressed patients, the more severe the central diseases in the comorbidity network. LIMITATIONS The causality of the observed interactions could not be determined. CONCLUSIONS The application of network analysis on longitudinal healthcare datasets to assess comorbidity patterns can supplement the traditional clinical study approaches. The findings would improve our understanding of depression-related comorbidities and enhance the integrated management of depression.
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Affiliation(s)
- Hang Qiu
- School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China.
| | - Liya Wang
- Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China
| | - Xianrong Zeng
- Department of Neurology, Sichuan Provincial People's Hospital, Chengdu, China
| | - Jingping Pan
- Health Information Center of Sichuan Province, Chengdu, China
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Peng A, Lai W, He S, Li W, Song T, Ji S, Zhao X, Chen L. Association Between Early Parental Death and Loneliness in Adulthood: A Community-Based Study in Southwest China. Front Psychiatry 2022; 13:784000. [PMID: 35432037 PMCID: PMC9008135 DOI: 10.3389/fpsyt.2022.784000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 02/28/2022] [Indexed: 11/13/2022] Open
Abstract
Loneliness is a growing public health problem that threatens physical and mental health to a large extent. Compelling evidence has shown that premature parental death is strongly associated with many mental health disorders in adulthood, but whether it increases the risk of loneliness remains unclear. In this large community-based study, we included 32,682 adult participants (20-93 years old) from Southwest China and used the three-item short version of University of California, Los Angeles, Loneliness Scale to identify participants with loneliness. A total of 1,975 participants reported loneliness, which resulted in a loneliness prevalence of 6.0% in Southwest China. Logistic regression was used to evaluate the association between early parental death and loneliness after adjusting for age, gender, education level, marital status, smoking and drinking status, living status, and chronic diseases. We found that early parental death was significantly associated with loneliness [odds ratio (OR) = 1.21, 95% confidence interval (CI), 1.03-1.42]. A Sensitivity analysis excluding those with mental health disorders (796 participants) yielded similar results (OR = 1.26, 95% CI = 1.06-1.49). We also found that being younger, single, divorced, or widowed, and more educated; living alone; and having chronic disorders were associated with loneliness. We conclude that childhood parental death is associated with loneliness in adulthood, suggesting the need for early intervention in affected children to prevent long-term adverse neuropsychiatric effects.
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Affiliation(s)
- Anjiao Peng
- Department of Neurology, Joint Research Institute of Altitude Health, West China Hospital, Sichuan University, Chengdu, China
| | - Wanlin Lai
- Department of Neurology, Joint Research Institute of Altitude Health, West China Hospital, Sichuan University, Chengdu, China
| | - Shixu He
- Department of Neurology, Joint Research Institute of Altitude Health, West China Hospital, Sichuan University, Chengdu, China
| | - Wanling Li
- Department of Neurology, Joint Research Institute of Altitude Health, West China Hospital, Sichuan University, Chengdu, China
| | - Tingting Song
- Department of Neurology, Joint Research Institute of Altitude Health, West China Hospital, Sichuan University, Chengdu, China
| | - Shuming Ji
- Department of Project Design and Statistics, West China Hospital, Sichuan University, Chengdu, China
| | - Xia Zhao
- Department of Clinical Research Management, West China Hospital, Sichuan University, Chengdu, China
| | - Lei Chen
- Department of Neurology, Joint Research Institute of Altitude Health, West China Hospital, Sichuan University, Chengdu, China
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Wang S, Zhang Y, Guan Y, Ding W, Meng Y, Hu H, Liu Z, Zeng X, Wang M. A nationwide evaluation of the prevalence of and risk factors associated with anxiety, depression and insomnia symptoms during the return-to-work period of coronavirus disease 2019 in China. Soc Psychiatry Psychiatr Epidemiol 2021; 56:2275-2286. [PMID: 33616693 PMCID: PMC7898251 DOI: 10.1007/s00127-021-02046-4] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 02/12/2021] [Indexed: 02/05/2023]
Abstract
PURPOSE To evaluate the prevalence of and risk factors associated with anxiety, depression, and insomnia symptoms during the return-to-work period of coronavirus disease 2019 in China. METHODS The authors conducted a large-scale, nationwide, multicenter, cross-sectional study in China. A population-based quota and snowball sampling were designed to recruit a representative sample. Online questionnaires and telephone reviews were used to collect characteristics and assess psychological and sleep problems. Anxiety, depression, and insomnia symptoms were measured by the generalized anxiety disorder-7, patient health questionnaire-9, and insomnia severity index tools. RESULTS A total of 42,000 participants were recruited from 15 centers, and 36,795 valid questionnaires were received. Generally, 18.3, 14.9, and 17.9% of the participants had anxiety, depression, and insomnia symptoms, respectively, and 2.2-2.7% had severe symptoms. Engaging in outside activity once in ≥ 30 days (OR = 2.719, OR = 2.074, OR = 2.225) and age 50-64 years (OR = 2.431, OR = 1.936, OR = 2.036) were common risk factors for anxiety, depression and insomnia symptoms. Living in Hubei Province (OR = 1.304, OR = 1.242) was a common risk factor for anxiety and insomnia symptoms. Working as frontline medical staff (OR = 2.150) was another risk factor for anxiety symptoms. The health education rate of the samples reached 98.9%. However, the psychological intervention rate was only 16.2%, and 2.5% received targeted interventions. CONCLUSIONS An increasing number of people might have psychological and sleep problems. However, the current psychological interventions are not sufficient. Efforts should be made to strengthen interventions for high-risk populations.
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Affiliation(s)
- Shu Wang
- Department of Neurosurgery, SanBo Brain Hospital, Capital Medical University, Beijing, 100093 China
| | - Yuan Zhang
- Dalian Medical University, Dalian, 116044 Liaoning China
- Department of Pediatric Hematology-Oncology, Dalian Municipal Women and Children’s Medical Center, Dalian, 116037 Liaoning China
| | - Yuguang Guan
- Department of Neurosurgery, SanBo Brain Hospital, Capital Medical University, Beijing, 100093 China
- Beijing Key Laboratory of Epilepsy, Beijing, 100093 China
- Center of Epilepsy, Beijing Institute for Brain Disorders, Beijing, 100093 China
| | - Wei Ding
- Department of Neurology, Liaocheng People’s Hospital, Liaocheng, 252000 Shandong China
| | - Yao Meng
- Department of Neurology, The First Affiliated Hospital of Shandong First Medical University, Jinan, 250014 Shandong China
| | - Huiting Hu
- Department of Neurology, Heze Mudan People’s Hospital, Heze, 274000 Shandong China
| | - Zhenhua Liu
- Sleep Medicine Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021 Shandong China
| | - Xianwei Zeng
- Department of Neurosurgery, Qilu Hospital of Shandong University, Jinan, 250012 Shandong China
| | - Minzhong Wang
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021 Shandong China
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Estimating the global treatment rates for depression: A systematic review and meta-analysis. J Affect Disord 2021; 295:1234-1242. [PMID: 34665135 DOI: 10.1016/j.jad.2021.09.038] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 09/02/2021] [Accepted: 09/12/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND Depression is considered a global crisis due to its high prevalence and associated disabilities. The burden posed by depression could be reduced by increasing access to timely treatment. Limited information is available on treatment rates of depression, particularly in low- and middle-income countries. This study aimed to estimate the treatment rates for depression in the general adult population by World Bank income classification. METHODS We searched PubMed, EMBASE, PsycINFO, and CINAHL, supplemented with hand-search of reference lists to identify community-based studies. The overall treatment rate for depression was estimated from studies that reported any treatment (behavioral or pharmacological treatments) in healthcare or informal non-healthcare settings. Data were pooled using a random-effects meta-analysis model. Subgroup analyses by income classification were completed. Meta-regression was conducted by study characteristics. The protocol was pre-registered at PROSPERO (CRD42020161683). RESULTS We included 65 studies comprising 1.1 million participants from 79 countries and territories. The global 12-month/lifetime pooled treatment rate was 34.8% (95% confidence interval: 29.9, 39.9%). The treatment rates were 48.3% (43.0, 53.6%) in high-income countries, 21.4% (15.1, 27.7%) in middle-income countries, and 16.8% (11.3, 23.0%) in low-income countries. Among the treated samples, 12-month minimally adequate treatment was estimated to be 40%. LIMITATION We reported a substantial level of between-study heterogeneity, which was partially explained by study characteristics in the meta-regression. CONCLUSION Globally, approximately one-third of people with depression receive treatment. Three in five treated people with depression did not receive minimally adequate treatment. Depression treatment rates are considerably lower in low-and middle-income countries.
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12
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Associations between increased circulating endothelial progenitor cell levels and anxiety/depressive severity, cognitive deficit and function disability among patients with major depressive disorder. Sci Rep 2021; 11:18221. [PMID: 34521977 PMCID: PMC8440504 DOI: 10.1038/s41598-021-97853-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Accepted: 05/31/2021] [Indexed: 12/11/2022] Open
Abstract
The association of major depressive disorder (MDD) with cardiovascular diseases (CVDs) through endothelial dysfunction is bidirectional. Circulating endothelial progenitor cells (cEPCs), essential for endothelial repair and function, are associated with risks of various CVDs. Here, the relationship of cEPC counts with MDD and the related clinical presentations were investigated in 50 patients with MDD and 46 healthy controls. In patients with MDD, a battery of clinical domains was analysed: depressed mood with Hamilton Depression Rating Scale (HAMD) and Montgomery–Åsberg Depression Rating Scale (MADRS), anxiety with Hamilton Anxiety Rating Scale (HAMA), cognitive dysfunction and deficit with Digit Symbol Substitution Test (DSST) and Perceived Deficits Questionnaire-Depression (PDQ-D), somatic symptoms with Depressive and Somatic Symptom Scale (DSSS), quality of life with 12-Item Short Form Health Survey (SF-12) and functional disability with Sheehan Disability Scale (SDS). Immature and mature cEPC counts were measured through flow cytometry. Increased mature and immature cEPC counts were significantly associated with higher anxiety after controlling the confounding effect of systolic blood pressure, and potentially associated with more severe depressive symptoms, worse cognitive performance and increased cognitive deficit, higher social disability, and worse mental health outcomes. Thus, cEPCs might have pleiotropic effects on MDD-associated symptoms and psychosocial outcomes.
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13
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Long-Term Impact of COVID-19 on Mental Health among the General Public: A Nationwide Longitudinal Study in China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18168790. [PMID: 34444539 PMCID: PMC8393580 DOI: 10.3390/ijerph18168790] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 08/07/2021] [Accepted: 08/11/2021] [Indexed: 12/30/2022]
Abstract
COVID-19 might have long-term mental health impacts. We aim to investigate the longitudinal changes in mental problems from initial COVID-19 peak to its aftermath among general public in China. Depression, anxiety and insomnia were assessed among a large-sample nationwide cohort of 10,492 adults during the initial COVID-19 peak (28 February 2020 to 11 March 2020) and its aftermath (8 July 2020 to 8 August 2020) using the Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, and Insomnia Severity Index. We used generalized estimating equations and linear mixed models to explore factors associated with long-term mental health symptoms during COVID-19. During the five months, mental health symptoms remained consistently elevated (baseline 46.4%; follow-up 45.1%). Long-term depression, anxiety and insomnia were associated with several personal and work-related factors including quarantine (adjusted OR for any mental health symptoms 1.31, 95%CI 1.22–1.41, p < 0.001), increases in work burden after resuming work (1.77, 1.65–1.90, p < 0.001), occupational exposure risk to COVID-19 (1.26, 1.14–1.40, p < 0.001) and living in places severely affected by initial COVID-19 peak (1.21, 1.04–1.41, p = 0.01) or by a COVID-19 resurgence (1.38, 1.26–1.50, p < 0.001). Compliance with self-protection measures, such as wearing face masks (0.74, 0.61–0.90, p = 0.003), was associated with lower long-term risk of mental problems. The findings reveal a pronounced and prolonged mental health burden from the initial COVID-19 peak through to its aftermath in China. We should regularly monitor the mental health status of vulnerable populations throughout COVID-19.
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Wen Y, Liao J, Yin Y, Liu C, Gong R, Wu D. Risk of falls in 4 years of follow-up among Chinese adults with diabetes: findings from the China Health and Retirement Longitudinal Study. BMJ Open 2021; 11:e043349. [PMID: 34103310 PMCID: PMC8190046 DOI: 10.1136/bmjopen-2020-043349] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Accepted: 05/18/2021] [Indexed: 02/05/2023] Open
Abstract
OBJECTIVES This study was to determine the incidence of falls and identify baseline factors increased risk for incident falls over time among people with diabetes. DESIGN This study was a secondary analysis using the baseline and 4 years of follow-up data from the China Health and Retirement Longitudinal Study (CHARLS). SETTING A nationally representative survey of 17 500 Chinese residents aged 45 years and older were recruited in the baseline national survey in 2011. These participants were followed up every 2 years. PARTICIPANTS A total of 1238 middle-aged and older adults with diabetes and no history of falls at baseline were included in the current study. PRIMARY AND SECONDARY OUTCOME MEASURES Information on incidence of falls and medical treatment resulting from falls were determined by self-report. RESULTS The findings showed that the incidence of falls was 29.4% during 4 years of follow-up. Participants with incident falls were younger, were more likely to be women, had lower education level and were less likely to be current drinkers. In addition, former drinkers were 2.22 times more likely to fall. Socially active individuals were 47% less likely to fall compared with those without social activities. Every 5 kg increase in grip strength was associated with a 13% lower risk of falls. A 10 mg/dL higher total cholesterol and 1 mg/dL higher blood urea nitrogen were associated with a 4% and 6% higher risk of falls. Finally, participants with depressive symptoms were 1.47 times more likely to fall compared with those without depressive symptoms. CONCLUSIONS These findings underscore the importance of developing a fall prevention programme for those with diabetes, and this programme should address potentially modifiable risk factors, including levels of total cholesterol, blood urea nitrogen, social activity, depressive symptoms and grip strength.
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Affiliation(s)
- Yue Wen
- Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Jing Liao
- Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Yiqiong Yin
- Gastrointestinal Department, West China Hospital, Sichuan University, Chengdu, China
| | - Chunjuan Liu
- West China School of Nursing, Sichuan University/ West China Hospital, Sichuan University, Chengdu, China
| | - Renrong Gong
- Department of Surgery, West China Hospital, Sichuan University/ Department of Surgery, West China School of Nursing, Sichuan University /Nursing Key Laboratory of Sichuan Province, Chengdu, China
| | - Dongmei Wu
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
- Department of Nursing, The Fourth People's Hospital of Chengdu & Chengdu Mental Health Center, Chengdu, China
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15
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Chen J, Wang Z, Li Z, Peng D, Fang Y. Disturbances of affective cognition in mood disorders. SCIENCE CHINA. LIFE SCIENCES 2021; 64:938-941. [PMID: 33580426 DOI: 10.1007/s11427-020-1898-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 01/29/2021] [Indexed: 11/30/2022]
Affiliation(s)
- Jun Chen
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
- Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, 510515, China
| | - Zuowei Wang
- Hongkou District Mental Health Center of Shanghai, Shanghai, 200083, China
| | - Zezhi Li
- Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Daihui Peng
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
- Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, 510515, China
| | - Yiru Fang
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.
- Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, 510515, China.
- CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, 200031, China.
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, 201108, China.
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16
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Li F, Jia H, Liu J, Liu S, Lu X, Yip PSF. Self-Stigma and Its Relationship With Rates of Depression Diagnosis. CRISIS 2021; 43:190-196. [PMID: 33944611 DOI: 10.1027/0227-5910/a000780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Background: Self-stigma about suicide might impede people seeking help from mental health professionals. There is little research about self-stigma expressed by suicide decedents. Aims: We aimed to explore (a) self-stigma about suicide through examination of suicide notes; and (b) whether the expression of self-stigma was associated with the formal diagnoses of depression. Method: Data were extracted from notes left by people who died by suicide in two major Chinese cities (Shanghai, 2004-2017; Wuhan, 2005-2019). Note content was examined and self-stigma items were coded. Demographics associated with self-stigma were reported. Rates of depression were compared between note-leavers who expressed self-stigma, and those who did not. Results: Notes were left by 567 suicide decedents (representing about 19% all suicides). Approximately 25% notes contained at least one self-stigma item. Older people made fewer self-stigma references, as did people from Wuhan. Depression was not associated with self-stigma. Limitations: Not all people dying from suicide leave notes, and suicide notes variably report self-stigma, thus self-stigma about suicide may be underestimated. Conclusion: Self-stigma items varied across regions and age groups, but not with depression. Therefore, self-stigma expressed by suicide decedents may not reflect help-seeking behaviours from professional mental health services.
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Affiliation(s)
- Feng Li
- School of Humanities, Southeast University, Nanjing, PR China
| | - Haipeng Jia
- Criminal Detective Department, Qiaokou District of Wuhan Municipal Public Security Bureau, Wuhan, PR China
| | - Jinchen Liu
- College of Life Science, Lanzhou University, PR China
| | - Sihai Liu
- Criminal Detective Department, Jiang'an District of Wuhan Municipal Public Security Bureau, Wuhan, PR China
| | - Xuesong Lu
- Criminal Science Institute, Pudong District of Shanghai Municipal Public Security Bureau, Shanghai, PR China
| | - Paul S F Yip
- HKJC Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong SAR, PR China
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17
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Zhou Y, Ma Y, Wu Q, Wang Q, Yang WFZ, Wang Y, Yang D, Luo Y, Tang K, Liu T, Wang D. Comparison of Thyroid Hormone Levels Between Patients With Major Depressive Disorder and Healthy Individuals in China. Front Psychiatry 2021; 12:750749. [PMID: 34721116 PMCID: PMC8551614 DOI: 10.3389/fpsyt.2021.750749] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 09/08/2021] [Indexed: 12/28/2022] Open
Abstract
Abnormal thyroid function in major depressive disorder (MDD) has been studied extensively, but the results still remain inconsistent. In China, few large-scale studies have investigated the differences in the levels of thyroid hormones between patients with MDD and healthy controls (HCs). In this retrospective, cross-sectional study, 535 MDD patients and 998 HCs were included. We compared the levels of thyroid hormones (FT3, FT4, and TSH) between the two groups, as well as investigated the distribution of levels of thyroid hormones within and outside normal ranges. The results showed that all the three hormones were significantly lower in MDD patients than in HCs, which was also true in different gender and age subgroups. The proportion of subjects with levels of all the three hormones outside the normal range in the MDD group was higher than that in the HC group (all p < 0.05). However, no significant difference was found in clinical/subclinical hyperthyroidism or hypothyroidism between the two groups (p > 0.05). Our study showed that the levels of thyroid hormones were lower in MDD patients, suggesting that there was an association between abnormal thyroid function and depression. The higher rate of thyroid dysfunction in MDD patients indicated the importance of regular monitoring of thyroid function.
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Affiliation(s)
- Yanan Zhou
- Department of Psychiatry, Hunan Brain Hospital (Hunan Second People's Hospital), Changsha, China.,Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China
| | - Yuejiao Ma
- Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China
| | - Qiuxia Wu
- Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China
| | - Qianjin Wang
- Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China
| | - Winson Fu Zun Yang
- Department of Psychological Sciences, College of Arts and Sciences, Texas Tech University, Lubbock, TX, United States
| | - Yunfei Wang
- Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China
| | - Dong Yang
- Department of Psychiatry, Hunan Brain Hospital (Hunan Second People's Hospital), Changsha, China
| | - Yinli Luo
- Department of Psychiatry, Hunan Brain Hospital (Hunan Second People's Hospital), Changsha, China
| | - Kewei Tang
- Changqiao Compulsory Isolation and Rehabilitation Center, Changsha, China
| | - Tieqiao Liu
- Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China
| | - Dongfang Wang
- Department of Psychiatry and Psychotherapy, University Hospital Rechts der Isar, Technical University of Munich, Munich, Germany
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Shi L, Lu ZA, Que JY, Huang XL, Liu L, Ran MS, Gong YM, Yuan K, Yan W, Sun YK, Shi J, Bao YP, Lu L. Prevalence of and Risk Factors Associated With Mental Health Symptoms Among the General Population in China During the Coronavirus Disease 2019 Pandemic. JAMA Netw Open 2020; 3:e2014053. [PMID: 32609353 PMCID: PMC7330717 DOI: 10.1001/jamanetworkopen.2020.14053] [Citation(s) in RCA: 517] [Impact Index Per Article: 103.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
IMPORTANCE People exposed to coronavirus disease 2019 (COVID-19) and a series of imperative containment measures could be psychologically stressed, yet the burden of and factors associated with mental health symptoms remain unclear. OBJECTIVE To investigate the prevalence of and risk factors associated with mental health symptoms in the general population in China during the COVID-19 pandemic. DESIGN, SETTING, AND PARTICIPANTS This large-sample, cross-sectional, population-based, online survey study was conducted from February 28, 2020, to March 11, 2020. It involved all 34 province-level regions in China and included participants aged 18 years and older. Data analysis was performed from March to May 2020. MAIN OUTCOMES AND MEASURES The prevalence of symptoms of depression, anxiety, insomnia, and acute stress among the general population in China during the COVID-19 pandemic was evaluated using the Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, Insomnia Severity Index, and Acute Stress Disorder Scale. Logistic regression analyses were used to explore demographic and COVID-19-related risk factors. RESULTS Of 71 227 individuals who clicked on the survey link, 56 932 submitted the questionnaires, for a participation rate of 79.9%. After excluding the invalid questionnaires, 56 679 participants (mean [SD] age, 35.97 [8.22] years; 27 149 men [47.9%]) were included in the study; 39 468 respondents (69.6%) were aged 18 to 39 years. During the COVID-19 pandemic, the rates of mental health symptoms among the survey respondents were 27.9% (95% CI, 27.5%-28.2%) for depression, 31.6% (95% CI, 31.2%-32.0%) for anxiety, 29.2% (95% CI, 28.8%-29.6%) for insomnia, and 24.4% (95% CI, 24.0%-24.7%) for acute stress. Participants with confirmed or suspected COVID-19 and their family members or friends had a high risk for symptoms of depression (adjusted odds ratios [ORs], 3.27 [95% CI, 1.84-5.80] for patients; 1.53 [95% CI, 1.26-1.85] for family or friends), anxiety (adjusted ORs, 2.48 [95% CI, 1.43-4.31] for patients; 1.53 [95% CI, 1.27-1.84] for family or friends), insomnia (adjusted ORs, 3.06 [95% CI, 1.73-5.43] for patients; 1.62 [95% CI, 1.35-1.96] for family or friends), and acute stress (adjusted ORs, 3.50 [95% CI, 2.02-6.07] for patients; 1.77 [95% CI, 1.46-2.15] for family or friends). Moreover, people with occupational exposure risks and residents in Hubei province had increased odds of symptoms of depression (adjusted ORs, 1.96 [95% CI, 1.77-2.17] for occupational exposure; 1.42 [95% CI, 1.19-1.68] for Hubei residence), anxiety (adjusted ORs, 1.93 [95% CI, 1.75-2.13] for occupational exposure; 1.54 [95% CI, 1.30-1.82] for Hubei residence), insomnia (adjusted ORs, 1.60 [95% CI, 1.45-1.77] for occupational exposure; 1.20 [95% CI, 1.01-1.42] for Hubei residence), and acute stress (adjusted ORs, 1.98 [95% CI, 1.79-2.20] for occupational exposure; 1.49 [95% CI, 1.25-1.79] for Hubei residence). Both centralized quarantine (adjusted ORs, 1.33 [95% CI, 1.10-1.61] for depression; 1.46 [95% CI, 1.22-1.75] for anxiety; 1.63 [95% CI, 1.36-1.95] for insomnia; 1.46 [95% CI, 1.21-1.77] for acute stress) and home quarantine (adjusted ORs, 1.30 [95% CI, 1.25-1.36] for depression; 1.28 [95% CI, 1.23-1.34] for anxiety; 1.24 [95% CI, 1.19-1.30] for insomnia; 1.29 [95% CI, 1.24-1.35] for acute stress) were associated with the 4 negative mental health outcomes. Being at work was associated with lower risks of depression (adjusted OR, 0.85 [95% CI, 0.79-0.91]), anxiety (adjusted OR, 0.92 [95% CI, 0.86-0.99]), and insomnia (adjusted OR, 0.87 [95% CI, 0.81-0.94]). CONCLUSIONS AND RELEVANCE The results of this survey indicate that mental health symptoms may have been common during the COVID-19 outbreak among the general population in China, especially among infected individuals, people with suspected infection, and people who might have contact with patients with COVID-19. Some measures, such as quarantine and delays in returning to work, were also associated with mental health among the public. These findings identify populations at risk for mental health problems during the COVID-19 pandemic and may help in implementing mental health intervention policies in other countries and regions.
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Affiliation(s)
- Le Shi
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, China
| | - Zheng-An Lu
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, China
| | - Jian-Yu Que
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, China
| | - Xiao-Lin Huang
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
| | - Lin Liu
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
- Peking University School of Public Health, Peking University, Beijing, China
| | - Mao-Sheng Ran
- Department of Social Work and Social Administration, University of Hong Kong, Hong Kong, China
| | - Yi-Miao Gong
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, China
- Peking-Tsinghua Center for Life Sciences and PKU-IDG, McGovern Institute for Brain Research, Beijing, China
| | - Kai Yuan
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, China
| | - Wei Yan
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, China
| | - Yan-Kun Sun
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, China
| | - Jie Shi
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
| | - Yan-Ping Bao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
- Peking University School of Public Health, Peking University, Beijing, China
| | - Lin Lu
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, China
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
- Peking-Tsinghua Center for Life Sciences and PKU-IDG, McGovern Institute for Brain Research, Beijing, China
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Schwank SE, Andersson E, Wickberg B, Fu SC, Ding Y, Lindgren H. Care-seeking behavior and disclosure on self-reported mental health among young women in urban Shanghai, China. Health Psychol Open 2020; 7:2055102919897382. [PMID: 32082605 PMCID: PMC7005976 DOI: 10.1177/2055102919897382] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Mental health is a major public health concern in China. Help-seeking behavior
typically does not involve professionals. Aim of the study was to assess
Shanghai women’s care-seeking behavior for common mental health disorders. Using
an online survey, fielding questions regarding perinatal mental health status
and help-seeking behavior. A total of 487 women participated. One fifth of
participants reporting badwell-being did not seek help for mental distress. A
total of 82.2 percent seek online support. A majority entrusted in family and
avoided professional contact. Mother-in-laws were the least trusted source of
support. Shanghai women avoid seeking professional help for mental health
issues. Friends, spouses, and online resources are preferred venues.
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Wang G, Tan KHX, Ren H, Hammer-Helmich L. Impact of Cognitive Symptoms on Health-Related Quality of Life and Work Productivity in Chinese Patients with Major Depressive Disorder: Results from the PROACT Study. Neuropsychiatr Dis Treat 2020; 16:749-759. [PMID: 32214816 PMCID: PMC7081063 DOI: 10.2147/ndt.s230403] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Accepted: 02/15/2020] [Indexed: 01/10/2023] Open
Abstract
PURPOSE This post hoc analysis was undertaken to further explore the association of cognitive symptoms with health-related quality of life (HRQoL) and work productivity at the time of treatment initiation in Chinese patients with major depressive disorder (MDD) in the Prospective Research Observation to Assess Cognition in Treated patients with MDD (PROACT) study. PATIENTS AND METHODS This was an epidemiological, non-interventional, prospective cohort study in adult outpatients with moderate-to-severe MDD initiating antidepressant monotherapy (first or second line). Crude and adjusted analyses of covariance were performed to assess the association of perceived cognitive symptoms (20-item Perceived Deficits Questionnaire-Depression [PDQ-D] total score) or observed cognitive performance (Digit Symbol Substitution Test [DSST] score) with HRQoL (EuroQoL 5-Dimensions Questionnaire index) and work productivity (Work Productivity and Activity Impairment [WPAI] or Sheehan Disability Scale [SDS] absenteeism and presenteeism scores). Adjusted analyses included depression severity, age, sex, residential area (urban/rural), and educational level. RESULTS Of 1008 patients enrolled in the PROACT study, 986 were included in this analysis. Severity of perceived cognitive symptoms (ie, higher PDQ-D total score) was significantly associated with worse HRQoL (P<0.001) and higher levels of absenteeism (P=0.020 for the WPAI and P=0.002 for the SDS) and presenteeism (P<0.001 for both scales). The association of perceived cognitive symptoms with HRQoL and presenteeism was independent of depression severity. The association between observed cognitive performance (DSST score) and HRQoL was less robust. No association was seen between observed cognitive performance and levels of absenteeism or presenteeism assessed by either scale. CONCLUSION Results of this real-world study illustrate the impact of cognitive symptoms on HRQoL and work productivity in Chinese patients with MDD, and highlight the importance of assessing and targeting cognitive symptoms in order to improve functional outcomes when treating patients with MDD.
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Affiliation(s)
- Gang Wang
- Psychiatry Department, Beijing an Ding Hospital, Capital Medical University, China National Clinical Research Center for Mental Disorders, Beijing, People's Republic of China
| | - Kristin Hui Xian Tan
- Health Economics & Epidemiology Statistics, Lundbeck Singapore Pte Ltd, Singapore
| | - Hongye Ren
- Medical Affairs Value Evidence, H. Lundbeck A/S, Valby, Denmark
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Luo Z, Li Y, Hou Y, Liu X, Jiang J, Wang Y, Liu X, Qiao D, Dong X, Li R, Wang F, Wang C. Gender-specific prevalence and associated factors of major depressive disorder and generalized anxiety disorder in a Chinese rural population: the Henan rural cohort study. BMC Public Health 2019; 19:1744. [PMID: 31881870 PMCID: PMC6935131 DOI: 10.1186/s12889-019-8086-1] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2019] [Accepted: 12/15/2019] [Indexed: 12/29/2022] Open
Abstract
Background This study aims to investigate the prevalence and associated factors of major depressive disorder (MDD) and generalized anxiety disorder (GAD) by gender in Chinese rural adults. Methods A total of 29,993 participants aged from 18 to 79 years from the Henan Rural Cohort Study were included in this study. The Patient Health Questionnaire-2 (PHQ-2) and Generalized Anxiety Disorder-2 (GAD-2) were used to assess MDD and GAD through a face-to-face interview. Multivariate logistic regression model was conducted to analyze the associated factors for MDD and GAD. Results The age-standardized prevalence of MDD and GAD (and 95%CI) in the total sample were 5.41% (5.17–5.66%) and 4.94% (4.71–5.18%), respectively. Besides, the crude prevalence in women were significantly higher than men for both MDD (6.81% vs. 4.77%) and GAD (6.63% vs. 3.93%) (both P < 0.001). Tetrachoric correlation test showed high comorbidity between MDD and GAD (r = 0.88, P = 0.01). Further analysis revealed that age, sex, marital status, educational level, per capita monthly income, drinking, physical activity, and body mass index were associated with MDD and GAD in the overall sample. Gender difference was found among age groups for MDD (Pinteraction < 0.001). Conclusions These findings showed that Chinese rural adults were at low risk for prevalence of MDD and GAD. Women had higher prevalence and risks for MDD and GAD compared with men, indicating that women deserved more attention. Gender-specific interventions on the modifiable associated factors are urgently needed to improve the mental conditions for Chinese rural population. Clinical trial registration The Henan Rural Cohort Study has been registered in the Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699). Date of registration: 2015-07-06.
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Affiliation(s)
- Zhicheng Luo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, People's Republic of China
| | - Yuqian Li
- Department of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yitan Hou
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, Hubei, China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, People's Republic of China
| | - Jingjing Jiang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, People's Republic of China
| | - Yan Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, People's Republic of China
| | - Xue Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, People's Republic of China
| | - Dou Qiao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, People's Republic of China
| | - Xiaokang Dong
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, People's Republic of China
| | - Ruiying Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, People's Republic of China
| | - Fang Wang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, People's Republic of China.
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Li G, Mei J, You J, Miao J, Song X, Sun W, Lan Y, Qiu X, Zhu Z. Sociodemographic characteristics associated with adolescent depression in urban and rural areas of Hubei province: a cross-sectional analysis. BMC Psychiatry 2019; 19:386. [PMID: 31805901 PMCID: PMC6896285 DOI: 10.1186/s12888-019-2380-4] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Accepted: 11/28/2019] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND China has experienced rapid socioeconomic, and health transitions over the last four decades, and urban-rural disparities are becoming increasingly apparent. Research on depression among rural and urban students can provide evidence on the relationship between sociodemographic characteristics and adolescent depression. METHODS We examined the association between sociodemographic characteristics and adolescent depression among 3605 students from Wuhan city and Jianli county that was recruited from the local junior middle school via a cross-sectional study. Univariate and multivariate logistic regression models were used to explore the sociodemographic characteristics of adolescent depression in urban and rural areas, respectively. Nomograms were constructed to calculate individual depression risk of junior middle school students. RESULTS 32.47% of rural students and 35.11% of urban students display depressive symptoms. The protective factors of depression in urban students are exercise habit, younger, key class, better academic achievement and males, while Left-behind children (LBC), poor academic achievement and females had higher depression risk in rural area. Two nomograms were constructed to screen the adolescent depression in urban and rural junior middle school students, respectively. The clinical tools were well calibrated. CONCLUSION The field-based research examined sociodemographic characteristics potentially associated with adolescent depression and offered an effective and convenient tool of individualized depression risk evaluation for junior middle school students. Future longitudinal epidemiologic research on adolescent depression may help to further validate the discovery of present study, which will support developing policies and practices to minimize the factors of adolescent depression.
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Affiliation(s)
- Guo Li
- 0000 0004 0368 7223grid.33199.31Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030 Hubei China
| | - Junhua Mei
- grid.410609.aDepartment of Neurology, Wuhan First Hospital, 215 Zhongshan Avenue, Wuhan, 430030 Hubei China
| | - Jing You
- Blue Sky Women and Children Rights Protection Association, 96 Jingnan Avenue, Jianli, 433300 Hubei China
| | - Jinfeng Miao
- 0000 0004 0368 7223grid.33199.31Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030 Hubei China
| | - Xiaoyan Song
- 0000 0004 0368 7223grid.33199.31Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030 Hubei China
| | - Wenzhe Sun
- 0000 0004 0368 7223grid.33199.31Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030 Hubei China
| | - Yan Lan
- 0000 0004 0368 7223grid.33199.31Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030 Hubei China
| | - Xiuli Qiu
- 0000 0004 0368 7223grid.33199.31Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030 Hubei China
| | - Zhou Zhu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, Hubei, China.
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Abstract
Major depressive disorder (MDD) is a common psychiatric disorder in China, but its reported treatment rate varies largely across different studies. The objective of this meta-analysis was to determine the pooled treatment rate for people with MDD in China and its associated factors. Both English (PubMed, Cochrane Library, PsycINFO, Web of Science) and Chinese (Chinese National Knowledge Infrastructure, WanFang and SinoMed) databases were searched from their commencement date to November 13, 2018. Epidemiological studies that reported the treatment rate of MDD were included and synthesized using a random effects model. Fifteen studies covering 609,054 participants were included. The pooled treatment rate for MDD in China was 19.5% (95% CI: 10.7%-28.4%). Among the 15 studies, 9 reported the number of patients who received treatments in psychiatric hospitals with a pooled treatment rate of 5.2% (95% CI: 2.8%-7.5%). Meta-regression found that study quality (β = 0.131, P = 0.028) and male gender (β = 0.006, P = 0.039) were significantly associated with a higher treatment rate for MDD. In China, the treatment rate for MDD, particularly in psychiatric hospitals, was low. Effective public education and increasing access to mental health services will probably increase the number of people seeking and receiving treatment.
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Miao J, Wang G, Hou J, Areberg J, Zhao Y, Højer AM, Ettrup A. Pharmacokinetics and Safety of Vortioxetine in the Chinese Population. Adv Ther 2019; 36:3134-3146. [PMID: 31552551 PMCID: PMC6822801 DOI: 10.1007/s12325-019-01092-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Indexed: 02/05/2023]
Abstract
Introduction Major depressive disorder (MDD) is associated with a significant burden of disease in China. Awareness and better access to treatments could help alleviate the burden associated with MDD. Because variations have been observed in the pharmacokinetics (PK) of antidepressants across different races and ethnicities, evaluation of the clinical pharmacology of vortioxetine in diverse populations remains important to assess the potential need for dose adjustments. Methods Data were pooled from two phase I open-label PK studies in healthy Chinese subjects, and one phase III double-blind noninferiority study in Chinese patients with MDD to describe the PK and safety data for vortioxetine. Doses in these studies ranged from 10 mg (single dose) to 10 and 20 mg (multiple daily doses). A population PK analysis of vortioxetine in the Chinese population was conducted using nonlinear mixed-effect modeling. Results In total, 186 individuals were included in the PK analysis: 79 healthy Chinese subjects and 107 Chinese patients with MDD. No clinically significant differences in the PK of vortioxetine were observed between the Chinese population and the previous data in non-Chinese populations. Because of a generally lower weight in the Chinese population compared with the non-Chinese population, exposures were 19% and 18% higher in the Chinese population than in the non-Chinese population (for maximum observed plasma concentration and area under the plasma concentration–time curve, respectively), which is not considered clinically relevant. A high prevalence of pruritus was observed in one phase I PK study (56% overall); however, this was not reflected in the phase III study in Chinese patients with MDD (0.8%). Conclusions The PK parameters of vortioxetine in Chinese subjects were comparable to previous data in non-Chinese subjects. Overall, no new safety concerns were raised among the Chinese population. On the basis of this analysis, the tolerability profile of vortioxetine in Chinese healthy subjects and in patients with MDD is expected to be comparable to that in the non-Chinese population. Funding H. Lundbeck A/S, Valby, Denmark. Trial Registration NCT01676571. Electronic supplementary material The online version of this article (10.1007/s12325-019-01092-4) contains supplementary material, which is available to authorized users.
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Wang Y, Yin J, Wang G, Li P, Bi G, Li S, Xia X, Song J, Pei G, Zheng JC. Responsibility and Sustainability in Brain Science, Technology, and Neuroethics in China-a Culture-Oriented Perspective. Neuron 2019; 101:375-379. [PMID: 30731061 DOI: 10.1016/j.neuron.2019.01.023] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Revised: 01/11/2019] [Accepted: 01/14/2019] [Indexed: 12/17/2022]
Abstract
The China Brain Project is in development. Integrating an ethical framework to identify and assess ethical challenges and plan for solutions is a priority. Here Wang et al. discuss ethical questions emerging from brain research in the context of traditional Chinese culture and juxtapose the legacy of Confucianism with contemporary thinking.
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Affiliation(s)
- Yi Wang
- Center for Translational Neurodegeneration and Regenerative Therapy, Shanghai Tenth People's Hospital affiliated to Tongji University School of Medicine, Shanghai 200072, China; Collaborative Innovation Center for Brain Science, Tongji University, Shanghai 200092, China
| | - Jie Yin
- School of Philosophy & Center for Biomedical Ethics, Fudan University, Shanghai 200433, China
| | - Guoyu Wang
- School of Philosophy & Center for Biomedical Ethics, Fudan University, Shanghai 200433, China
| | - Pingping Li
- China National Center for Biotechnology Development, Beijing 100039, China
| | - Guoqiang Bi
- Hefei National Laboratory for Physical Sciences at Microscale, CAS Key Laboratory of Brain Function and Disease, CAS Center for Excellence in Brain Research and Intelligent Technology, and School of Life Sciences, University of Science and Technology of China., Hefei, Anhui 230026, China
| | - Suning Li
- China National Center for Biotechnology Development, Beijing 100039, China
| | - Xiaohuan Xia
- Center for Translational Neurodegeneration and Regenerative Therapy, Shanghai Tenth People's Hospital affiliated to Tongji University School of Medicine, Shanghai 200072, China; Collaborative Innovation Center for Brain Science, Tongji University, Shanghai 200092, China
| | - Jianren Song
- Collaborative Innovation Center for Brain Science, Tongji University, Shanghai 200092, China; Center of Translational Medicine, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China
| | - Gang Pei
- Collaborative Innovation Center for Brain Science, Tongji University, Shanghai 200092, China; School of Life Science and Technology, Tongji University, Shanghai 200092, China; Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China.
| | - Jialin C Zheng
- Center for Translational Neurodegeneration and Regenerative Therapy, Shanghai Tenth People's Hospital affiliated to Tongji University School of Medicine, Shanghai 200072, China; Collaborative Innovation Center for Brain Science, Tongji University, Shanghai 200092, China; Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE 68198-5930, USA; Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE 68198-5930, USA.
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Yamabe K, Liebert R, Flores N, Pashos CL. Health-related quality of life outcomes, economic burden, and associated costs among diagnosed and undiagnosed depression patients in Japan. CLINICOECONOMICS AND OUTCOMES RESEARCH 2019; 11:233-243. [PMID: 30881068 PMCID: PMC6419602 DOI: 10.2147/ceor.s179901] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Purpose Depression is associated with substantial health and economic burden. This study examined the impact of diagnosed and undiagnosed depression on health-related outcomes and costs among Japanese adults. Methods A retrospective, observational study was conducted using 2012-2014 Japan National Health and Wellness Survey (N=83,504) data. Differences between respondents diagnosed with depression (n=2,843) and undiagnosed with depression (weighted n=2,717) and controls without depression (weighted n=2,801) in health-related quality of life, impairment to work productivity and daily activities (Work Productivity and Activity Impairment Questionnaire), health care resource utilization, and annual costs were evaluated. Propensity score weighting and weighted generalized linear models were used to compare groups on the outcome variables, after adjusting for covariates. Results Overall, respondents with undiagnosed depression had significantly better outcomes than those diagnosed with depression, but significantly worse outcomes than controls (for all, P<0.001). The mean Mental Component Summary scores were lower in the diagnosed group when compared with undiagnosed respondents and controls (33.2 vs 34.5 vs 48.6). Similar findings were obtained for mean Physical Component Summary (49.2 vs 49.5 vs 52.8) and health state utility scores (0.61 vs 0.62 vs 0.76). Additionally, the diagnosed group reported greater absenteeism (13.1 vs 6.6 vs 2.5%), presenteeism (41.4 vs 38.1 vs 18.8%), overall work productivity impairment (47.2 vs 41.1 vs 20.2%), and activity impairment (48.4 vs 43.3 vs 21.1%) than the undiagnosed and control groups, respectively. Consistently, patients with diagnosed depression had higher annual per patient direct (1.6-fold) and indirect costs (1.1-fold) than those in the undiagnosed depression group. Conclusion Diagnosed depression was associated with lower health-related quality of life and greater impairment in work productivity and daily activities, higher health care resource utilization, and higher costs, compared with undiagnosed respondents and controls. These study findings suggest a need for greater awareness of depression symptoms among Japanese adults, which is needed to facilitate proper diagnosis and treatment.
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Affiliation(s)
- Kaoru Yamabe
- Healthcare Policy and Access, Takeda Pharmaceutical Company Limited, Nihonbashi, Chuouku, Tokyo 103-8668, Japan,
| | - Ryan Liebert
- Health Outcomes Research, Kantar Health, New York, NY 10010, USA
| | - Natalia Flores
- Health Outcomes Research, Kantar Health, New York, NY 10010, USA
| | - Chris L Pashos
- Global Outcomes & Epidemiology Research, Data Sciences Institute, Takeda Pharmaceuticals International, Inc., Cambridge, MA 02139, USA
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Fan X, Jie C, Yushuang D, Linli C, Jing Y, Zhongrui M, Jianping Y, Jiayuan P, Shu Y, Wenwen L, Ronghua X. Approaching to the Essence of Major Depressive Disorder. EDELWEISS: PSYCHIATRY OPEN ACCESS 2018. [DOI: 10.33805/2638-8073.110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Major Depressive Disorder (MDD) is a serious neuropsychic disease. It destroys person’s family relationship and social connections seriously. Latest WHO investigation disclosed nearly 4.4% of the population worldwide (approximately 322 million people) were being affected by MDD extensively [1]. While in China, Dong M, et al. reported the occurrence rate of suicide attempt during hospitalization and after the onset of MDD were 17.3% (95% CI: 12.4-23.7%) and 42.1% (95% CI: 26.1-60.0%) respectively [2]. Another research made by Grupta S, et al. announced MDD in urban China might be under-diagnosed and untreated [3].
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Affiliation(s)
- Xu Fan
- Public Health School, Chengdu Medical College, Chengdu, Sichuan, P.R. of China
| | - Chen Jie
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong S.A.R, P.R. of China
| | - Deng Yushuang
- Department of Neurology, The Second People’s Hospital of Chengdu, Sichuan Province, P.R. of China
| | - Chen Linli
- Division of General Practice, West China Hospital, Sichuan University, Sichuan Province, P.R. of China
| | - Yang Jing
- Department of Medical Center, Vanderbilt University, 2525 West End Avenue, Suite 1100, Nashville, TN, USA
| | - Ma Zhongrui
- Department of Neurology, Chengdu Fifth People’s Hospital, Chengdu, Sichuan Province, P.R. of China
| | - Yu Jianping
- Department of Neurology, The First Affiliated Hospital of Chengdu Medical College, Chengdu Sichuan Province, P.R. of China
| | - Peng Jiayuan
- Public Health School, Chengdu Medical College, Chengdu, Sichuan, P.R. of China
| | - Yang Shu
- Public Health School, Chengdu Medical College, Chengdu, Sichuan, P.R. of China
| | - Li Wenwen
- Institute of Neuroscience, Department of Pathology, Faculty of Basic Medicine, Chongqing Medical University, Chongqing, P.R. of China
| | - Xu Ronghua
- Department of Neurosurgery, The Second People’s Hospital of Chengdu, Chengdu, Sichuan Province, P.R. of China
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Wang Q, Tian W. Prevalence, awareness, and treatment of depressive symptoms among the middle‐aged and elderly in China from 2008 to 2015. Int J Health Plann Manage 2018; 33:1060-1070. [DOI: 10.1002/hpm.2581] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Accepted: 06/29/2018] [Indexed: 11/09/2022] Open
Affiliation(s)
- Qun Wang
- Faculty of Humanities and Social SciencesDalian University of Technology Dalian China
| | - Wenyao Tian
- School of Political StudiesUniversity of Ottawa Ottawa Canada
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29
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Yang J, Siri JG, Remais JV, Cheng Q, Zhang H, Chan KKY, Sun Z, Zhao Y, Cong N, Li X, Zhang W, Bai Y, Bi J, Cai W, Chan EYY, Chen W, Fan W, Fu H, He J, Huang H, Ji JS, Jia P, Jiang X, Kwan MP, Li T, Li X, Liang S, Liang X, Liang L, Liu Q, Lu Y, Luo Y, Ma X, Schwartländer B, Shen Z, Shi P, Su J, Wu T, Yang C, Yin Y, Zhang Q, Zhang Y, Zhang Y, Xu B, Gong P. The Tsinghua-Lancet Commission on Healthy Cities in China: unlocking the power of cities for a healthy China. Lancet 2018; 391:2140-2184. [PMID: 29678340 PMCID: PMC7159272 DOI: 10.1016/s0140-6736(18)30486-0] [Citation(s) in RCA: 103] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Revised: 12/05/2017] [Accepted: 12/07/2017] [Indexed: 12/28/2022]
Affiliation(s)
- Jun Yang
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; Joint Center for Global Change Studies (JCGCS), Beijing, China; Center for Healthy Cities, Institute for China Sustainable Urbanization, Tsinghua University, Beijing, China
| | - José G Siri
- United Nations University International Institute for Global Health, Kuala Lumpur, Malaysia
| | - Justin V Remais
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Qu Cheng
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
| | - Han Zhang
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
| | - Karen K Y Chan
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
| | - Zhe Sun
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
| | - Yuanyuan Zhao
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
| | - Na Cong
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
| | - Xueyan Li
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
| | - Wei Zhang
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
| | - Yuqi Bai
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; Joint Center for Global Change Studies (JCGCS), Beijing, China; Center for Healthy Cities, Institute for China Sustainable Urbanization, Tsinghua University, Beijing, China
| | - Jun Bi
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China
| | - Wenjia Cai
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; Joint Center for Global Change Studies (JCGCS), Beijing, China; Center for Healthy Cities, Institute for China Sustainable Urbanization, Tsinghua University, Beijing, China
| | - Emily Y Y Chan
- JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Wanqing Chen
- National Office for Cancer Prevention and Control, National Central Cancer Registry Cancer Institute/Hospital, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College National Cancer Center, Beijing, China
| | - Weicheng Fan
- Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing, China
| | - Hua Fu
- Fudan Health Communication Institute, School of Public Health, Fudan University, Shanghai, China
| | - Jianqing He
- China National Engineering Research Center for Human Settlements, Beijing, China
| | - Hong Huang
- Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing, China
| | - John S Ji
- Environmental Research Center, Duke Kunshan University, Kunshan, China; Nicholas School of the Environment, Duke University, Durham, NC, USA; Harvard Center Shanghai, Asia-Pacific Research Center, Harvard Business School, Boston, MA, USA
| | - Peng Jia
- Department of Earth Observation Science, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands
| | | | - Mei-Po Kwan
- Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Human Geography and Spatial Planning, Utrecht University, Utrecht, Netherlands
| | - Tianhong Li
- Department of Internal Medicine, Division of Hematology & Oncology, University of California Davis School of Medicine, UC Davis Comprehensive Cancer Center, Sacramento, CA, USA
| | - Xiguang Li
- School of Journalism and Communication, Tsinghua University, Beijing, China
| | - Song Liang
- Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
| | - Xiaofeng Liang
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lu Liang
- Center for Healthy Cities, Institute for China Sustainable Urbanization, Tsinghua University, Beijing, China; Arkansas Forest Resources Center, University of Arkansas Division of Agriculture, School of Forestry and Natural Resources, University of Arkansas at Monticello, Monticello, AR, USA
| | - Qiyong Liu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yongmei Lu
- Department of Geography, Texas State University, San Marcos, TX, USA
| | - Yong Luo
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; Joint Center for Global Change Studies (JCGCS), Beijing, China
| | - Xiulian Ma
- Chinese Academy of Governance, Beijing, China
| | | | | | - Peijun Shi
- Joint Center for Global Change Studies (JCGCS), Beijing, China; State Key Laboratory of Earth Surface Processes and Resource Ecology/Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing, China
| | - Jing Su
- School of Medicine, Tsinghua University, Beijing, China
| | - Tinghai Wu
- School of Architecture, Tsinghua University, Beijing, China
| | - Changhong Yang
- Institute for Public Health Information, Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Yongyuan Yin
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
| | - Qiang Zhang
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; Joint Center for Global Change Studies (JCGCS), Beijing, China
| | - Yinping Zhang
- Bureau of Disease Prevention and Control, National Health and Family Planning Commission, Beijing, China
| | - Yong Zhang
- Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Department of Building Science, Tsinghua University, Beijing, China
| | - Bing Xu
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; Joint Center for Global Change Studies (JCGCS), Beijing, China; Center for Healthy Cities, Institute for China Sustainable Urbanization, Tsinghua University, Beijing, China.
| | - Peng Gong
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; Joint Center for Global Change Studies (JCGCS), Beijing, China; Center for Healthy Cities, Institute for China Sustainable Urbanization, Tsinghua University, Beijing, China.
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The Association Between Chronic Conditions and Non-Agricultural Work Productivity Loss Among the Middle-Aged Chinese Population. J Occup Environ Med 2018; 60:832-838. [PMID: 29727397 DOI: 10.1097/jom.0000000000001348] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVE To measure the association between different chronic conditions and non-agricultural work productivity loss among the middle-aged Chinese population. METHODS We used 2011, 2013, and 2015 data from the China Health and Retirement Longitudinal Study. The study focused on middle-aged respondents who had the potential to work in the non-agricultural sector. Work productivity loss was measured by non-agricultural work participation and number of absent workdays among those conducting non-agricultural work. Seven different chronic conditions were considered. RESULTS Heart diseases had the strongest association with lower work participation for men and women. Stomach/digestive disease and arthritis/rheumatism were conditions with the largest incremental absent workdays for men and women, respectively. CONCLUSIONS The associations with non-agricultural work productivity loss varied by chronic conditions, outcomes, and sex. The findings will help motivate chronic condition prevention/management programs and set priorities.
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Wang G, You X, Wang X, Xu X, Bai L, Xie J, Yao Z, Yi Q, Ma J, Wang J, Zhuo J, Hu C. Safety and effectiveness of escitalopram in an 8-week open study in Chinese patients with depression and anxiety. Neuropsychiatr Dis Treat 2018; 14:2087-2097. [PMID: 30147321 PMCID: PMC6097511 DOI: 10.2147/ndt.s164673] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Anxiety symptoms usually worsen depression and functional impairment. The present study was aimed to evaluate the impact of escitalopram on social function and quality of life in major depressive disorder (MDD) patients with anxiety symptoms. PATIENTS AND METHODS Adult MDD patients with functional impairment (Sheehan Disability Scale [SDS] score ≥9) and anxiety symptoms (Hamilton Anxiety Rating Scale [HAM-A] score ≥14) received escitalopram (10-20 mg/day) for 8 weeks. Symptom status was assessed by SDS, Quality of Life Enjoyment and Satisfaction Questionnaire-Short Form, Montgomery-Åsberg Depression Rating Scale (MADRS), HAM-A, and Quick Inventory of Depressive Symptomatology-Self Report scales. Safety was evaluated by treatment-emergent adverse events (TEAEs). RESULTS Overall, 208 (79.7%) of 261 enrolled patients completed the 8-week treatment. Mean (SD) SDS and Quality of Life Enjoyment and Satisfaction Questionnaire-Short Form total scores were 17.4 (5.87) and 39.3 (14.43) at baseline, which improved to 7.6 (6.71) and 61.6 (15.80), respectively, at week 8. Totally, 59.2% of patients achieved functional remission (SDS≤6) and 61.7% of patients achieved depression remission (MADRS≤10) at week 8; 48.1% of patients achieved both functional and depression remission (SDS≤6 and MADRS≤10). The change in SDS total score was positively correlated with the change in MADRS and HAM-A total scores at each visit. Patient's baseline SDS score was related with depression score (regression coefficient=0.40582, p=0.0005); remission of SDS was statistically related to a reduction of week 2 and week 6 HAM-A score (p<0.0001) and reduction of MADRS score (p<0.0001). Overall, 25.7% of patients reported ≥1 TEAEs. Most frequently reported TEAEs were nausea (5.8%), diarrhea (2.3%), and dizziness (2.7%). Most TEAEs were mild to moderate in severity. Four patients reported serious TEAEs, two patients reported suicide attempts, and one patient completed suicide. CONCLUSION Escitalopram (10-20 mg/day) treatment was efficacious in reducing depression, improving social function, and quality of life in MDD patients with anxiety symptoms. No new safety signals were identified.
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Affiliation(s)
- Gang Wang
- Psychiatry Department, Beijing Anding Hospital, Capital Medical University, National Clinical Research Center for Mental Disorders, Beijing, China
| | - Xiumin You
- Psychiatry Department, Xianyue Hospital, Xiamen, China
| | - Xueyi Wang
- Psychiatry Department, Institute of Mental Health of Hebei Medical University, Shijiazhuang, China
| | - Xiufeng Xu
- Psychiatry Department, Kunming Medical University Affiliated Hospital, Kunming, China
| | - Ludong Bai
- Psychiatry Department, Shangdong Province Mental Hospital, Jinan, China
| | - Jian Xie
- Psychiatry Department, Hangzhou First People Hospital, Hangzhou, China
| | - Zhijian Yao
- Psychiatry Department, Nanjing Brain Hospital, Nanjing, China
| | - QiZhong Yi
- Psychiatry Department, Xinjiang University Affiliated First Hospital, Urumqi, China
| | - Jun Ma
- Psychiatry Department, Inner Mongolia Mental Hospital, Hulun Buir, China
| | - Jinan Wang
- Medical Department, Lundbeck Pharmaceutical Information Consulting Co., Ltd., Beijing, China
| | - Jianmin Zhuo
- Medical Department, Xi'an Janssen Pharmaceutical Ltd., Beijing, China,
| | - Cuili Hu
- Medical Department, Xi'an Janssen Pharmaceutical Ltd., Beijing, China,
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Peng Z, Wang Q, Kan H, Chen R, Wang W. Effects of ambient temperature on daily hospital admissions for mental disorders in Shanghai, China: A time-series analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2017; 590-591:281-286. [PMID: 28274603 DOI: 10.1016/j.scitotenv.2017.02.237] [Citation(s) in RCA: 71] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2016] [Revised: 01/26/2017] [Accepted: 02/28/2017] [Indexed: 04/15/2023]
Abstract
BACKGROUND Evidence for extreme ambient temperature effects on the risk of mental disorders (MDs) is limited. In this study, we evaluated the short-term effects of daily mean temperature on hospital admissions of MDs in Shanghai, China. METHODS We obtained daily hospital admission data for MDs, daily meteorological and ambient pollution data in Shanghai from January 2008 to December 2015. Adjusted for time trend, air pollution, relative humidity and other confounders, a quasi-Poisson generalized additive model (GAM) combined with a distributed lag non-linear model (DLNM) was used to analyze the lag-exposure-response relationship between daily mean temperature and hospital admissions for MDs. RESULTS Total daily hospital admissions for MDs during the study period were 93,971. With a reference of median temperature (18.3°C), there was a significant positive association between the temperature above threshold (24.6°C) and MD hospital admission visits at a lag of 0-1days. The relative risks of extreme hot temperatures (33.1°C, 99% percentile) over the lag 0-1days compared to median temperature were 1.266 (95% confidence intervals: 1.074-1.493). No effect of cold weather on the hospital admissions for MDs was observed. CONCLUSIONS This study suggests that extreme hot temperature poses significant risks on MD; health counseling and cooling measures should be considered for the susceptible population.
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Affiliation(s)
- Zhuoxin Peng
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety (Ministry of Education), Fudan University, Shanghai, China
| | - Qi Wang
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety (Ministry of Education), Fudan University, Shanghai, China
| | - Haidong Kan
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety (Ministry of Education), Fudan University, Shanghai, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai, China
| | - Renjie Chen
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety (Ministry of Education), Fudan University, Shanghai, China
| | - Weibing Wang
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety (Ministry of Education), Fudan University, Shanghai, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai, China.
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Yu S, Yang H, Guo X, Zheng L, Sun Y. Metabolic syndrome and depressive symptoms among rural Northeast general population in China. BMC Public Health 2017; 17:43. [PMID: 28061774 PMCID: PMC5219740 DOI: 10.1186/s12889-016-3913-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2015] [Accepted: 12/07/2016] [Indexed: 11/17/2022] Open
Abstract
Background Previous researches aiming to estimate the association between metabolic syndrome and depressive symptoms come out with inconsistent results. Besides, most of them are conducted in the developed areas. There is lack of the data from rural China. The aim of this study is to confirm whether gender difference exists among the relationship between MetS, metabolic components and depressive symptoms in the rural Chinese population. Methods A cross-sectional analysis enrolled 11430 subjects’ aged ≥35 from rural Northeast China. Metabolic and anthropometric indicators were measured according to standard methods. Depressive symptoms were defined using the Patient Health Questionnaire-9 (PHQ-9). Results The prevalence of depressive symptoms was 6% among rural Northeast general population and the prevalence of MetS and its components were 39.0% for MetS, 42.9% for abdominal obesity, 67.1% for elevated blood pressure, 47.1% for hyperglycemia, 32.1% for hypertriglyceridemia, 29.5% for low HDL-C. Depressive symptoms were associated with triglyceride component (OR = 1.24, 95%CI: 1.05–1.46, P = 0.01) but not MetS (OR = 1.11, 95%CI: 0.94–1.30, P = 0.23). Moreover, depressive symptoms were associated with triglyceride component (OR = 1.21, 95% CI = 1.00–1.47, P = 0.05) in women only. But once adjusted for menopause status, depressive symptoms were no longer statically associated with triglyceride component (OR = 1.20, 95% CI = 0.99–1.46, P = 0.07). Conclusions Depressive symptoms were associated with triglyceride component but not MetS in rural Chinese population. Routine lipid screening should be recommended among rural depressed residents especially among female.
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Affiliation(s)
- Shasha Yu
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Hongmei Yang
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Xiaofan Guo
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Liqiang Zheng
- Department of Clinical Epidemiology, Shenjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yingxian Sun
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, Liaoning, China.
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Sugawara N, Kaneda A, Takahashi I, Nakaji S, Yasui-Furukori N. Application of a stratum-specific likelihood ratio analysis in a screen for depression among a community-dwelling population in Japan. Neuropsychiatr Dis Treat 2017; 13:2369-2374. [PMID: 28979124 PMCID: PMC5602451 DOI: 10.2147/ndt.s142517] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Efficient screening for depression is important in community mental health. In this study, we applied a stratum-specific likelihood ratio (SSLR) analysis, which is independent of the prevalence of the target disease, to screen for depression among community-dwelling individuals. METHOD The Center for Epidemiologic Studies Depression Scale (CES-D) and the Mini International Neuropsychiatric Interview (MINI) were administered to 789 individuals (19-87 years of age) who participated in the Iwaki Health Promotion Project 2011. Major depressive disorder (MDD) was assessed using the MINI. RESULTS For MDD, the SSLRs were 0.13 (95% CI 0.04-0.40), 3.68 (95% CI 1.37-9.89), and 24.77 (95% CI 14.97-40.98) for CES-D scores of 0-16, 17-20, and above 21, respectively. CONCLUSION The validity of the CES-D is confirmed, and SSLR analysis is recommended for its practical value for the detection of individuals with the risk of MDD in the Japanese community.
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Affiliation(s)
- Norio Sugawara
- Department of Clinical Epidemiology, Translational Medical Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo.,Department of Neuropsychiatry, Hirosaki University School of Medicine, Hirosaki
| | - Ayako Kaneda
- Department of Neuropsychiatry, Hirosaki University School of Medicine, Hirosaki
| | - Ippei Takahashi
- Department of Social Medicine, Hirosaki University School of Medicine, Hirosaki, Japan
| | - Shigeyuki Nakaji
- Department of Social Medicine, Hirosaki University School of Medicine, Hirosaki, Japan
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Jha MK, Teer RB, Minhajuddin A, Greer TL, Rush AJ, Trivedi MH. Daily activity level improvement with antidepressant medications predicts long-term clinical outcomes in outpatients with major depressive disorder. Neuropsychiatr Dis Treat 2017; 13:803-813. [PMID: 28352180 PMCID: PMC5359139 DOI: 10.2147/ndt.s128407] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Major depressive disorder (MDD) significantly impacts performance of both work- and nonwork-related routine daily activities. We have shown that work productivity is significantly impaired in employed MDD patients, but the extent of impairments in nonwork-related routine activities and its association with antidepressant treatment outcomes has not been established. MATERIALS AND METHODS Activity impairment was measured using the sixth item of Work Productivity and Activity Impairment Scale in the Combining Medications to Enhance Depression Outcomes (CO-MED) trial (n=665). Published norms were used to define activity impairment levels. The relationship between activity impairment and baseline sociodemographic and clinical characteristics was evaluated along with changes in activity impairment and its relationship with other clinical outcomes such as symptom severity, function, and side effect burden. Remission status at 3 and 7 months was predicted based on week 6 activity impairment level. RESULTS Higher psychosocial and cognitive impairments and greater number of comorbid medical conditions were associated with greater activity impairment at baseline. Proportion of participants with severe activity impairment declined from 47.6% at baseline to 18.7% at 3 months, while mean activity impairment decreased from 57.1 at baseline to 32.8 at 3 months. During course of treatment, levels of activity impairment correlated most strongly with psychosocial function among measures of symptom severity, function, quality of life, and side effect burden. No or minimal activity impairment at week 6 was associated with two to three times higher rates of remission at 3 and 7 months as compared to moderate or severe activity impairment levels even after controlling for remission status at week 6 and select baseline variables. CONCLUSION Depressed patients have high levels of nonwork-related activity impairment at baseline that improves significantly with treatment and independently predicts long-term clinical outcomes. Brief systematic assessment of activity impairment during the course of antidepressant treatment can help inform clinical decision-making.
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Affiliation(s)
- Manish K Jha
- Center for Depression Research and Clinical Care, University of Texas Southwestern Medical Center, Dallas
| | | | - Abu Minhajuddin
- Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Tracy L Greer
- Center for Depression Research and Clinical Care, University of Texas Southwestern Medical Center, Dallas
| | | | - Madhukar H Trivedi
- Center for Depression Research and Clinical Care, University of Texas Southwestern Medical Center, Dallas
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Yu S, Yang H, Guo X, Zheng L, Sun Y. Prevalence of Depression among Rural Residents with Diabetes Mellitus: A Cross-Sectional Study from Northeast China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2016; 13:ijerph13060542. [PMID: 27240394 PMCID: PMC4923999 DOI: 10.3390/ijerph13060542] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Revised: 05/05/2016] [Accepted: 05/10/2016] [Indexed: 11/16/2022]
Abstract
Recent economic development in China has resulted in large increases in psychogenic and metabolic diseases. However, few studies have focused on the mental status of rural residents with diabetes. We aimed to investigate the prevalence of depressive symptoms among patients with diabetes to establish the association between depressive symptoms and socio-demographic and clinical factors. We conducted a cross-sectional analysis of 1187 patients with diabetes aged ≥35 years from rural Northeast China. Metabolic and anthropometric indicators were measured according to standard methods. Depressive symptoms were defined using the Patient Health Questionnaire-9 (PHQ-9). Five hundred and twenty-six residents (44.3%) of the total sample were male and 931 (78.4%) were <65 years old. One hundred and eight residents (8.76%) score ≥10 on the PHQ-9 scale. A statistically significant relationship was found between depressive symptoms and female gender, older age (≥65 years), high school or above education level, moderate physical activity, high family income, multiple additional illnesses, current alcohol consumption, and 7-8 h/d sleep duration. Multivariate analysis showed that female gender [odds ratio (OR) = 1.984, p = 0.028], high family income (OR = 0.483 for 5000-20,000 CNY/year, p = 0.011; OR = 0.356 for >2000 CNY/year, p = 0.003), 7-8 h/d sleep duration (OR = 0.453, p = 0.020), and having multiple additional illness (OR = 3.080, p < 0.001) were significantly associated with depressive symptoms. Prevalence of depressive symptoms in our study was high. Female gender and multiple illnesses were risk factors for depression, while long sleep duration and high family income seem to protect against depression among rural residents with diabetes in China.
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Affiliation(s)
- Shasha Yu
- Department of Cardiology, The First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang 110001, China.
| | - Hongmei Yang
- Department of Cardiology, The First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang 110001, China.
| | - Xiaofan Guo
- Department of Cardiology, The First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang 110001, China.
| | - Liqiang Zheng
- Department of Clinical Epidemiology, Shenjing Hospital of China Medical University, Shenyang 110001, China.
| | - Yingxian Sun
- Department of Cardiology, The First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang 110001, China.
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