Use of web-based epidemiology in the investigation of risk factors for common mental disorder
نام عام مواد
[Thesis]
نام نخستين پديدآور
Jessop, Lynn Sherree
وضعیت نشر و پخش و غیره
نام ناشر، پخش کننده و غيره
Cardiff University
تاریخ نشرو بخش و غیره
2015
یادداشتهای مربوط به پایان نامه ها
جزئيات پايان نامه و نوع درجه آن
Ph.D.
کسي که مدرک را اعطا کرده
Cardiff University
امتياز متن
2015
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
The common mental disorders of anxiety and depression (CMD) impose a substantial burden on individuals and society. A current limitation for research into risk factors for CMD is that the Mental Health Inventory -5 MHI-5) a brief but widely used scale to measure of anxiety and depression was designed without a cut-point to identify cases of CMD. This thesis designed a web-based epidemiological study. Changes in Well-being to gather data from MHI-5 and the Clinical Interview Schedule - Revised (CIS-R), representing the 'gold standard' for CMD case classification. From a random sample of 10,000 people aged 18 to 74 years living in Caerphilly County Borough, Wales a total of 616 participants were recruited. Of these, 82 (13.4%) were classified as CMD 'non-severe' (CMD-NS) using a CIS-R score of 12-17 and 129 (20.9%) were classified as a case of CMD 'severe' (CMD-S) with a CIS-R score of 18 and over. In an analysis of paired CIS-R and MHI-5 scores, the corresponding cut-points on the MHI-5 scaled of 0-100 were <60 and <45 respectively. These cut-points were applied to baseline and follow-up survey MHI-5 scores in the Caerphilly Health and Social Needs Longitudinal Study dataset to classify cases. Logistic regression analysis showed the importance of younger age, a range of major adverse life events, and living in the most deprived areas as risk factors for the onset of CMD. Adverse employment transitions, moving to non-owner-occupation and becoming widowed were more strongly associated with older age groups and living in areas of high social cohesion. This thesis has shown the utility of web-based epidemiological studies in population mental health, determined cut-points on the MHI5 scale and demonstrated the importance of a wide-range of risk factors for change in CMD case status.