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.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:655940 |
| Date | January 2015 |
| Creators | Jessop, Lynn Sherree |
| Publisher | Cardiff University |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://orca.cf.ac.uk/73822/ |
Page generated in 0.0022 seconds