Background: The association between unemployment and poor mental health in general is explained by both causation and selection. The aim was to study whether experiencing unemployment was a risk factor for hospitalisation for depressive disorder specifically, and whether gender and immigrant status modified the hypothesised risk.
Methods: A register-based prospective cohort study, 2000-2006, of persons aged 18-64 with a strong connection to the Swedish labour market.
Outcome: hospital admission for a depressive episode; F32 in International Classification of Diseases, 10th revision.
Exposure: employment status. Explanatory variables: gender and immigrant status. Confounders: age group, education and marital status. Cox regression models were used to estimate HRs with 95% CIs.
Results: The cohort comprised 3 284 896 adults, 47.5% women. An excess relative risk for hospitalisation was found among those who became unemployed (HR=1.94, 95% CI 1.85 to 2.03). Foreign-born women who experienced unemployment had the highest relative risk (HR=3.47 95% CI 3.02 to 3.98).
Conclusions: Among persons with a strong connection to the labour market experiencing unemployment, is a risk factor for hospitalisation for depressive disorders. Unemployed foreign-born women had the highest relative risk compared with all Swedish born, all foreign-born men and to employed foreign-born women.
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http://dx.doi.org/10.1136/jech-2013-202701 | DOI Listing |
Neuroradiology
January 2025
Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Introduction: Bipolar disorder (BD) and major depressive disorder (MDD) have overlapping clinical presentations which may make it difficult for clinicians to distinguish them potentially resulting in misdiagnosis. This study combined structural MRI and machine learning techniques to determine whether regional morphological differences could distinguish patients with BD and MDD.
Methods: A total of 123 participants, including BD (n = 31), MDD (n = 48), and healthy controls (HC, n = 44), underwent high-resolution 3D T1-weighted imaging.
Nord J Psychiatry
January 2025
Mental Health Services, Psychiatry East, Copenhagen University Hospital, Region Zealand, Denmark.
Purpose: To describe the prevalence of self-reported depression in a socioeconomically deprived area in Denmark and the association to socioeconomic position (SEP) defined by education, occupation, and being in financial strain.
Method: 13,955 adults completing the Major Depression Inventory (MDI) in the Lolland-Falster Health Study questionnaire were included.Multivariate logistic regression on symptoms of depression based on MDI sum score and ICD-10 scores, associated to education, occupation, and financial strain - unadjusted and adjusted for sex and age group.
Int J Rheum Dis
January 2025
Department of Rheumatology and Immunology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
BMC Psychiatry
January 2025
Department of Neurology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China.
Background: The neurasthenia-depression controversy has lasted for several decades. It is challenging to solve the argument by symptoms alone for syndrome-based disease classification. Our aim was to identify objective electroencephalography (EEG) measures that can differentiate neurasthenia from major depressive disorder (MDD).
View Article and Find Full Text PDFBMC Psychiatry
January 2025
Department of Psychiatry, Institute of Health, Bule Hora University, Bule Hora, Ethiopia.
Introduction: Common mental disorders represent psychiatric co-morbidity in medical illness, which leads to poor adherence to treatment, increased exposure to diagnostic procedures and the cost of treatment, longer hospital stay, and increasing the risk of complications that result in morbidity and mortality among patients admitted to non-psychiatric wards. There is a dearth of evidence related to the prevalence of common mental disorders and associated factors among adult patients admitted to non-psychiatric wards, particularly in the study area. This study aimed to assess the prevalence of common mental disorders and associated factors among adult patients admitted to non-psychiatric wards of public hospitals in the Harari region, eastern Ethiopia.
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