51
|
Qiu D, Li R, Li Y, He J, Ouyang F, Luo D, Xiao S. Job Dissatisfaction Mediated the Associations Between Work Stress and Mental Health Problems. Front Psychiatry 2021; 12:711263. [PMID: 34603101 PMCID: PMC8483558 DOI: 10.3389/fpsyt.2021.711263] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 08/02/2021] [Indexed: 12/02/2022] Open
Abstract
Objective: This study aimed to explore the relationships and the underlying mechanisms between work stress and mental health problems, and potential mediation effects through job dissatisfaction in a working population. Methods: A large population-based study among workers in China was conducted. The self-reported scales of assessing job dissatisfaction and work stress were included in the questionnaire. Generalized Anxiety Disorder-2 and Patient Health Questionnaire-2 were used for assessment of mental health. Univariate logistic regression was conducted to test the associations between work stress and mental health. Path analysis was conducted to test the proposed mediation model. Results: Of the 6,190 included employees, 27.72% reported that they perceived work stress, 14.84% of them reported that they were not satisfied with their work, 5.01% of the employees reported depressive symptoms, and 3.75% of the employees reported anxiety symptoms. The results of univariate logistic regression showed that employees who perceived work stress were more likely to report anxiety symptoms (adjusted odds ratio (AOR) = 2.78; 95% CI: 2.03-3.79) or depressive symptoms (AOR = 1.61; 95% CI: 1.22-2.12). The path analysis showed that work stress was positively associated with job dissatisfaction. Job dissatisfaction mediated the relationship between work stress and mental health problems among Chinese working adults. Conclusion: This study suggests the importance of psychosocial work environment for mental health among Chinese working adults. Work dissatisfaction is a stressor that may induce negative consequences on the mental health among Chinese workers. Interventions to help workers with stress management may be beneficial for their mental health.
Collapse
Affiliation(s)
- Dan Qiu
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China
| | - Ruiqi Li
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.,Lixia Center for Disease Control and Prevention of Jinan, Jinan, China
| | - Yilu Li
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China
| | - Jun He
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China
| | - Feiyun Ouyang
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China
| | - Dan Luo
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China
| | - Shuiyuan Xiao
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.,Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, China
| |
Collapse
|
52
|
Terrizzi DA, Khan HA, Paulson A, Abuwalla Z, Solis N, Bolotin M, Burke B, Toner E, de Forest SA, Lee M, Goodwin B, Fogel J, Gladstone TRG, Van Voorhees BW. Understanding Adolescent Expressions of Sadness: A Qualitative Exploration. Res Theory Nurs Pract 2020; 34:321-339. [PMID: 33199406 DOI: 10.1891/rtnp-d-19-00103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE Primary care providers are positioned to identify adolescents at risk for depression and prevent major depressive disorder. To identify subthreshold depression, we examined the language adolescents use to describe their symptoms. METHODS Adolescents ages 13-18 with elevated levels on the Center for Epidemiologic Studies Depression (CES-D) scale and/or a history of depression who were part of a large randomized clinical trial to prevent depressive disorder were included. We used content analysis to analyze transcripts of semi-structured interviews. RESULTS Saturation was reached at 37 interviews. Adolescents self-identified as African American (N = 15), Hispanic (N = 10), and White (N = 21). Three domains were revealed; external sources of stress, adolescent expressions of sadness, and seeking help and care. Within these domains, 12 distinct themes emerged contextualizing these domains. No variations in the expression of the themes identified for subthreshold depression were found between the three ethno-cultural groups. IMPLICATIONS FOR PRACTICE Our study identifies, in adolescents' own words, how adolescents with subthreshold depression express feelings and cope with symptoms, and may guide primary care providers to recognize subthreshold depression early. These findings are a step toward filling the gap in the empirical literature needed to improve identification of adolescents at risk for depression in nonspecialist settings.
Collapse
Affiliation(s)
- Daniela A Terrizzi
- Department of General Pediatrics, College of Medicine, University of Illinois at Chicago, Chicago, Illinois
| | - Huma A Khan
- Department of General Pediatrics, College of Medicine, University of Illinois at Chicago, Chicago, Illinois
| | - Allison Paulson
- Department of General Pediatrics, College of Medicine, University of Illinois at Chicago, Chicago, Illinois
| | - Zach Abuwalla
- Department of General Pediatrics, College of Medicine, University of Illinois at Chicago, Chicago, Illinois
| | - Nitza Solis
- Department of General Pediatrics, College of Medicine, University of Illinois at Chicago, Chicago, Illinois
| | - Megan Bolotin
- Department of General Pediatrics, College of Medicine, University of Illinois at Chicago, Chicago, Illinois
| | - Brendan Burke
- Department of Pediatrics, Cleveland Clinic Foundation, Cleveland, Ohio
| | - Emma Toner
- Massachusetts General Hospital, Boston, Massachusetts
| | - Sarah A de Forest
- Department of General Pediatrics, College of Medicine, University of Illinois at Chicago, Chicago, Illinois
| | - Miae Lee
- Department of General Pediatrics, College of Medicine, University of Illinois at Chicago, Chicago, Illinois
| | - Brady Goodwin
- Department of General Pediatrics, College of Medicine, University of Illinois at Chicago, Chicago, Illinois
| | - Joshua Fogel
- Department of General Pediatrics, College of Medicine, University of Illinois at Chicago, Chicago, Illinois.,Department of Business Management, Brooklyn College, Brooklyn, New York
| | - Tracy R G Gladstone
- The Robert S. and Grace W. Stone Primary Prevention Initiatives, Wellesley Centers for Women, Wellesley College, Wellesley, Massachusetts
| | - Benjamin W Van Voorhees
- Department of General Pediatrics, College of Medicine, University of Illinois at Chicago, Chicago, Illinois
| |
Collapse
|
53
|
Peng X, Lau WKW, Wang C, Ning L, Zhang R. Impaired left amygdala resting state functional connectivity in subthreshold depression individuals. Sci Rep 2020; 10:17207. [PMID: 33057046 PMCID: PMC7560839 DOI: 10.1038/s41598-020-74166-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Accepted: 09/24/2020] [Indexed: 01/15/2023] Open
Abstract
Subthreshold depression (StD) affects people who experience clinically relevant depressive symptoms, which does not meet the diagnostic criteria for major depressive disorder (MDD). StD represents an ideal model for understanding the pathophysiological mechanisms of depression. Impaired emotion processing is a core feature of depression; careful investigation is required to better understand the neural correlates of emotion processing in depressed populations. In the current study, we explored whether the resting-state functional connectivity of the amygdala, a hub that taps a wide range of brain areas involved in emotion processing, is altered in individuals with StD when compared with healthy controls. Resting-state imaging data was collected from 59 individuals with StD and 59 age- and gender-matched controls. We found that the resting-state functional connectivity of the left amygdala with the cognitive control network and the left insula was significantly lower in people with StD than that in healthy controls. Such association was not observed in the right amygdala. Furthermore, functional connectivity strength between the left amygdala and the left precuneus was positively associated with depressive symptoms in individuals with StD. Our findings are in line with those reported in subjects with MDD, which may assist in further elucidating the pathophysiological mechanisms of depression, and contribute to the development of tailored treatments for individuals with StD who are at high risk of developing MDD.
Collapse
Affiliation(s)
- Xiaoling Peng
- Cognitive and Neuropsychology Laboratory, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, 510515, China.,Guangzhou Cana School, Guangzhou Rehabilitation and Research Center for Children With ASD, Guangzhou, 510540, China
| | - Way K W Lau
- Department of Special Education and Counselling, The Education University of Hong Kong, Hong Kong, China.,Integrated Centre for Wellbeing, The Education University of Hong Kong, Hong Kong, China.,Bioanalytical Laboratory for Educational Sciences, The Education University of Hong Kong, Hong Kong, China
| | - Chanyu Wang
- Cognitive and Neuropsychology Laboratory, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Lingfang Ning
- Cognitive and Neuropsychology Laboratory, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Ruibin Zhang
- Cognitive and Neuropsychology Laboratory, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, 510515, China. .,Department of Psychiatry, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China.
| |
Collapse
|
54
|
Steffen A, Thom J, Jacobi F, Holstiege J, Bätzing J. Trends in prevalence of depression in Germany between 2009 and 2017 based on nationwide ambulatory claims data. J Affect Disord 2020; 271:239-247. [PMID: 32479322 DOI: 10.1016/j.jad.2020.03.082] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 01/21/2020] [Accepted: 03/25/2020] [Indexed: 12/19/2022]
Abstract
BACKGROUND Studies based on health insurance funds unanimously indicate a rise in administrative prevalence of depression, while population surveys with standardized diagnostic procedures do not. We describe recent trends in the prevalence of depressive disorders as diagnosed in routine care from 2009-2017 in Germany. METHODS We used nationwide ambulatory claims data from all residents with statutory health insurance, covering 87% of the total population. Cases were defined as persons with at least one documented diagnosis of depression (ICD-10-GM codes: F32, F33 or F34.1). The administrative prevalence was computed for each year according to age, sex, degree of urbanization and severity of depression diagnosis. RESULTS The prevalence increased from 12.5% in 2009 to 15.7% in 2017 (+26%). Overall, women were twice as likely as men to receive a diagnosis, although the prevalence increased more strongly in men compared to women (+40% vs. +20%). Age- and sex-stratified analyses revealed the highest prevalence increase in adolescents and young men at the ages of 15-19 years (+95%) and 20-25 years (+72%). Rural areas with a low population density showed the highest rise in administrative prevalence (+34%), while big urban municipalities showed the lowest (+25%). LIMITATIONS Administrative claims data rely on diagnoses coded for billing purposes and thus depend on coding practice as well as patients' help seeking behavior. CONCLUSIONS Depressive disorders are of increasing importance in ambulatory health care in Germany. Parts of the increase may be attributed to changing cultural constructions of mental health along with the expansion of mental health care supply.
Collapse
Affiliation(s)
- Annika Steffen
- Department of Regional Health Care Analysis and Health Care Atlas, Central Research Institute of Ambulatory Health Care in Germany (Zi).
| | - Julia Thom
- Unit 26 Mental Health, Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | - Frank Jacobi
- Psychologische Hochschule Berlin, Berlin, Germany
| | - Jakob Holstiege
- Department of Regional Health Care Analysis and Health Care Atlas, Central Research Institute of Ambulatory Health Care in Germany (Zi)
| | - Jörg Bätzing
- Department of Regional Health Care Analysis and Health Care Atlas, Central Research Institute of Ambulatory Health Care in Germany (Zi)
| |
Collapse
|
55
|
Zhang T, Zhao B, Shi C, Nie B, Liu H, Yang X, Sun Y, Li P, Lin L, Yang X, Li J, Gao X, Feng S, Li X, Sun X, Pan T, Feng T, Bao T, Shan B. Subthreshold depression may exist on a spectrum with major depressive disorder: Evidence from gray matter volume and morphological brain network. J Affect Disord 2020; 266:243-251. [PMID: 32056884 DOI: 10.1016/j.jad.2020.01.135] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Revised: 12/06/2019] [Accepted: 01/12/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND Subthreshold depression (StD) is a prevalent condition that may increase the risk of incident major depressive disorder (MDD). However, the relationship between StD and MDD remains unclear. METHODS A total of 153 adult subjects, including 53 drug-naive MDD, 50 StD and 50 healthy control (HC) subjects, underwent a T1-weighted magnetic resonance imaging scan, and the gray matter volume (GMV) alterations among the three groups were quantitatively analyzed using voxel-based morphometry (VBM). Then, to capture the whole-brain connectivity characteristics, we constructed morphological brain networks (MBN) based on the similarity among brain regions of individual VBM images and compared the network connection strengths among the three groups. RESULTS The StD and MDD subjects had similar patterns of GMV reductions in the orbitofrontal cortex and left temporal gyrus, although the magnitude of the reductions was smaller in StD subjects. Moreover, a total of 21 morphological connections were significantly different among the three groups. For the majority of the different connections (15/21), the connection strength of the StD group took an intermediate position between that of the MDD and HC groups. LIMITATIONS There is still a lack of a consistent definition of StD, and the age range of the subjects in this study was wide. Meanwhile the mechanisms and biological significance of the MBN remains to be clarified. CONCLUSIONS These results may support the hypothesis that depression is better expressed as a spectrum and that StD exists on a spectrum with MDD.
Collapse
Affiliation(s)
- Tianhao Zhang
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China; School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Bingcong Zhao
- School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China; Acupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Key Laboratory of Acupuncture Neuromodulation, Beijing, China
| | - Chuan Shi
- Peking University Six Hospital, Beijing, China
| | - Binbin Nie
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China; School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Hua Liu
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China; School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Xinjing Yang
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Yang Sun
- School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Panlong Li
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China; Department of Physics, Zhengzhou University, Zhengzhou, Henan, China
| | - Lei Lin
- Department of Acupuncture, Beijing Hospital, Beijing, China
| | - Xiuyan Yang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Jing Li
- Center on Aging Psychology Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Xingzhou Gao
- School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Shixing Feng
- School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Xiang Li
- School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Xi Sun
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China; Department of Physics, Zhengzhou University, Zhengzhou, Henan, China
| | - Tingting Pan
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China; Department of Physics, Zhengzhou University, Zhengzhou, Henan, China
| | - Ting Feng
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China; Department of Physics, Zhengzhou University, Zhengzhou, Henan, China
| | - Tuya Bao
- School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China.
| | - Baoci Shan
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China; School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, China; CAS center for Excellence in Brain Science and Intelligence Technology, Shanghai, China.
| |
Collapse
|
56
|
Gharraee B, Zahedi Tajrishi K, Sheybani F, Tahmasbi N, Mirzaei M, Farahani H, Naserbakht M. Prevalence of major depressive disorder in the general population of Iran: A systematic review and meta-analysis. Med J Islam Repub Iran 2019; 33:151. [PMID: 32280657 PMCID: PMC7137832 DOI: 10.34171/mjiri.33.151] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Indexed: 12/26/2022] Open
Abstract
Background: Major depressive disorder (MDD) is the most common psychological disorder and affects many people worldwide. Surveying the prevalence of mental disorders, especially general disorders, such as major depressive disorder, is highly important for health professionals and policymakers. Due to a wide variation of studies concerning the prevalence of major depressive disorder in Iran, the present study was conducted to integrate such results. Methods: To conduct this study, English (PubMed/Medline, Scopus and Web of Science) and Persian (MHRN, Noormgs, Magiran, Iran-Medex, Irandoc, and SID) databases, from 1990 to 2018, were explored. All articles related to the point prevalence of depressive disorders in the general population of Iran were reviewed. The inclusion criteria of the present study were as follow: cross sectional studies based on general populations; the expression of the point prevalence rate and incidence of major depressive disorder for people over 15 years; and the use of a structured or semi-structured clinical interview for diagnosis of the disorder. Studies that were not original (such as review studies) and those that did not represent general populations were excluded from the study. To analyze the data obtained from this study, the second version of Comprehensive Meta-Analysis (CMA) software was used. The total point prevalence was calculated using the meta-analysis method, and the I2 index was used to measure the heterogeneity of the studies. Results: Of 6734 studies, 30 studies with a total sample size of 37 867 were finally included based on proposed inclusion and exclusion criteria. The sample included 20641 women (55%), and 17 226 (45%) men. In the present meta-analysis study, due to significant heterogeneity (I=97.1%, p=0.001) among studies, the randomized method was used, and the total point prevalence was 4.1% (CI: 3.1% 5.5%). The overall point prevalence of major depressive disorder was 4.8% (CI: 3.6% -5.6%) in women and 2.3% (CI: 1.6% -3.6%)in men, which indicated that the incidence of this disorder was 1.95 times more in women than in men. Conclusion: This meta-analysis study found a considerable prevalence of major depressive disorder among Iranian participants and revealed that the point prevalence of the disease was more than two-fold in women compared to men. Considering these findings and the high burden of this disorder for communities, the need to formulate and implement prevention and treatment programs is highly required.
Collapse
Affiliation(s)
- Banafsheh Gharraee
- Mental Health Research Center, Psychosocial Health Research Institute, Tehran Institute of Psychiatry- School of Behavioral Sciences and Mental Health, Iran University of Medical Sciences, Tehran, Iran
| | - Komeil Zahedi Tajrishi
- Mental Health Research Center, Psychosocial Health Research Institute, Tehran Institute of Psychiatry- School of Behavioral Sciences and Mental Health, Iran University of Medical Sciences, Tehran, Iran
| | - Farshad Sheybani
- Mental Health Research Center, Psychosocial Health Research Institute, Tehran Institute of Psychiatry- School of Behavioral Sciences and Mental Health, Iran University of Medical Sciences, Tehran, Iran
| | - Najmeh Tahmasbi
- Mental Health Research Center, Psychosocial Health Research Institute, Tehran Institute of Psychiatry- School of Behavioral Sciences and Mental Health, Iran University of Medical Sciences, Tehran, Iran
| | - Mohsen Mirzaei
- Mental Health Research Center, Psychosocial Health Research Institute, Tehran Institute of Psychiatry- School of Behavioral Sciences and Mental Health, Iran University of Medical Sciences, Tehran, Iran
| | | | - Morteza Naserbakht
- Mental Health Research Center, Psychosocial Health Research Institute, Tehran Institute of Psychiatry- School of Behavioral Sciences and Mental Health, Iran University of Medical Sciences, Tehran, Iran
| |
Collapse
|