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Macau Periodical Index (澳門期刊論文索引)
- Author
- Laranjeira, Carlos António
- Title
- Rhytmic alterations in the depressed patient: contribution towards a multisectorial health strategy
- Journal Name
- 澳門醫學雜誌
- Pub. Info
- 2008年12月26日, Vol.8, No.4, pp. 307-315
- Link
- https://www.ssm.gov.mo/docs//2207/2207_013e8e4e3de448e8bf6643678117a41a_000.pdf
- Keyword
- Psychological assessment；Biometrics；Depression；Desynchronosis；Circadian rhythms；Mental health
- Abstract
- Objective: The two objectives of this paper are to contribute to a better understanding of the existence of rhythmic alternations in depressed patients and to synchronise this knowledge with the development of treatment for depression. Methods: Starting from the presupposition that experiences vary from person to person, in line with their vulnerabilities (either biogenetic or personality-based) and their living circumstances, a sample of 20 in-patients of the Hospital Unit in Coimbra (Portugal) was examined. Two methods were used: at the first stage, a biometric method to observe sleeping and waking patterns and at a second stage a psychological assessment method. Thus, and in order to facilitate the implementation of the project, a mixed study was created (transversal, with a longitudinal component). As such, the gathering of data took place in two stages: at hospital admission and discharge. Results: The results obtained demonstrate that certain life events may trigger depression, given that they provoke changed in biological rhythms, particularly in the sleeping-waking rhythm. It was also observed that more vigorous (circadian type) and more introverted individuals (personality) are more sensitive to desynchronosis and, in turn, more vulnerable to depression. Conclusion: From a preventative perspective, the possibility of identifying personality factor and circadian types proved to be essential to therapeutic intervention. Paragraph Headings: 1. Introduction 2. Literature review 3. The study 4. Study hypotheses 5. Samples and setting 6. Instrumentation 7. Statistical analysis 8. Results 9. Discussion and conclusion Tables: 1. Stepwise regression analysis (final step) 2. Stepwise regression analysis (final step)