Background: Analysis of the Psychiatric Morbidity Survey of Great Britain showed that the prevalence of common mental disorders was lower amongst men at or above Britain's state pension age of 65, relative to younger men. Retirees below this age had consistently higher rates of mental disorders than working men. In contrast, the low prevalence of mental disorders amongst retirees aged 65 and older was similar to that of their working peers. The aim of this analysis was to investigate this pattern of results in a national sample of Australian men, and the mediating role of socio-demographic factors.
Method: Data were from the Household, Income and Labour Dynamics (HILDA) in Australia survey (2003). The analyses included men aged 45-74 years who were active in the labour force (n = 1309), or retired (n = 635). Mental health was assessed using the mental health scale from the Short-Form 36 Health Questionnaire.
Results: Retirees were more likely to have mental health problems than their working peers, however this difference was progressively smaller across age groups. For retirees above, though not below, the age of 55 this difference was explained by poorer physical functioning. When age at retirement was considered it was found that early retirees who were now at or approaching the conventional retirement age did not display the substantially elevated rates of mental health problems seen in their younger counterparts. Further, men who had retired at age 60 or older did not display an initially elevated rate of mental health problems.
Conclusions: The association between retirement and mental health varies across older adulthood. Retired British and Australian men below the conventional retirement age of 65 are more likely to have mental health problems relative to their working peers, and retirees above this age. However, poor mental health appears to be linked to being retired below this age rather than an enduring characteristic of those who retire early.
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http://dx.doi.org/10.1007/s00127-006-0064-0 | DOI Listing |
Early Interv Psychiatry
February 2025
Orygen, Parkville, Victoria, Australia.
Aim: Accurate and appropriate cognitive screening can significantly enhance early psychosis care, yet no screening tools have been validated for the early psychosis population and little is known about current screening practices, experiences, or factors that may influence implementation. CogScreen is a hybrid type 1 study aiming to validate two promising screening tools with young people with first episode psychosis (primary aim) and to understand the context for implementing cognitive screening in early psychosis settings (secondary aim). This protocol outlines the implementation study, which aims to explore the current practices, acceptability, feasibility and determinants of cognitive screening in early psychosis settings from the perspective of key stakeholders.
View Article and Find Full Text PDFJ Obstet Gynaecol Res
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Background: Pregnancy-related anatomic, physiologic, and hormonal factors can occur at different stages of pregnancy and affect sleep disturbances. The relationship between sleep problems during pregnancy and postpartum depressive symptoms as well as neonatal condition at delivery have not been well described. This study hypothesized that sleep problems are associated with postpartum depressive symptoms and adverse neonatal outcomes at delivery.
View Article and Find Full Text PDFOtolaryngol Head Neck Surg
January 2025
Department of Otolaryngology-Head and Neck Surgery, Columbia University Vagelos College of Physicians and Surgeons, NewYork-Presbyterian/Columbia University Irving Medical Center, New York, New York, USA.
Objective: Hearing loss (HL) is associated with depression, but existing datasets are limited by the type of data available for both hearing and mental health conditions. The purpose of this study is to determine if there is an association between HL and depressive disorders within a large bi-institutional electronic health record (EHR) system containing more granular diagnostic information.
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Alzheimers Res Ther
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Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Sankt Augustin, Germany.
Background: Alzheimer's disease (AD) is a progressive neurodegenerative disorder affecting millions worldwide, leading to cognitive and functional decline. Early detection and intervention are crucial for enhancing the quality of life of patients and their families. Remote Monitoring Technologies (RMTs) offer a promising solution for early detection by tracking changes in behavioral and cognitive functions, such as memory, language, and problem-solving skills.
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