Swipe om te navigeren naar een ander artikel
To investigate which aspects of Quality of Life (QoL) (physical health, psychological, social-relationships, and environment) are important in predicting mortality.
A sample of 448 (194 men and 254 women) relatively healthy older adults reported their QoL using the WHOQOL-BREF. After a 9-year follow-up, survival analysis was carried out using Cox’s proportional hazards regression.
Only the General Health item (HR = 0.75, 95% CI: 0.64–0.89) and Physical Health Domain mean score (HR = 0.90, 95% CI: 86–0.95) significantly predicted mortality when controlling for age and sex. The single-item General Health measure was the stronger predictor of mortality and remained significant after socio-demographic, psychological (personality and cognition), health behaviour and health status measures were controlled for independently. When all measures were simultaneously controlled for, none of the items or domains on the WHOQOL-BREF significantly predicted mortality.
Items addressing health-related QoL are the most important when predicting mortality. The findings support research demonstrating that subjectively rated, single-item general health questions accurately predict survival over and above socio-demographic, psychological, health behaviour and health status measures.
Log in om toegang te krijgen
Met onderstaand(e) abonnement(en) heeft u direct toegang:
Idler, E. L., & Benyamini, Y. (1997). Self-rated health and mortality: a review of twenty-seven community studies. J. Health Social Behav., 38, 21–37. CrossRef
Benyamini, Y., Blumstein, T., Lusky, A., & Modan, B. (2003). Gender differences in the self-rated health-mortality association: is it poor self-rated health that predicts mortality or excellent self-rated health that predicts survival? Gerontologist, 43, 396–405. PubMed
The WHOQOL Group. (1998). Development of the world health organization WHOQOL-BREF quality of life assessment. Psychological Medicine, 28, 551–558. CrossRef
The WHOQOL Group. (1998). The world health organization quality of life assessment (WHOQOL): development and general psychometric properties. Social Science and Medicine, 46, 1569–1585. CrossRef
The WHOQOL Group. (1995). The world health organization quality of life assessment (WHOQOL): position paper from the World Health Organization. Social Science and Medicine, 41, 1403–1409. CrossRef
Gow, A., Whiteman, M. C., Pattie, A., & Deary, I. J. (2005). The personality-intelligence interface: insights from an ageing cohort. Pers Individ. Differ., 39, 751–761. CrossRef
von Steinbuchel, N., Lischetzke, T., Gurny, M., & Eid, M. (2006). Assessing quality of life in older people: psychometric properties of the WHOQOL-BREF. European Journal of Ageing, 3, 116–122. CrossRef
Kalfoss, M. H., Low, G., & Molzahn, A. E. (2008). The suitability of the WHOQOL-BREF for Canadian and Norwegian older adults. European Journal of Ageing, 5, 77–89. CrossRef
The WHOQOL Group. WHOQOL-BREF. Introduction, administration, scoring and generis version of the assessment. Field Trial Version, 1996.
General Register Office. (1956). Census 1951: Classification of Occupations. London: HMSO.
Shipley, B. A., Der, G., Taylor, M. D., & Deary, I. J. (2008). Cognition and mortality from the major causes of death: the Health and Lifestyle Survey. J. Psych. Res., 65, 142–152.
Scottish Council for Research, Education. (1933). The Intelligence of Scottish children: A National Survey of an Age-group. London: University of London Press.
L.R. Goldberg, International Personality Item Pool. Web address can be obtained from authors, 2001.
NHS: NHS Choices: Know your limits, http://www.drinking.nhs.uk, 2010.
Starr, J. M., McGurn, B., Whiteman, M., Pattie, A., Whalley, L. J., & Deary, I. J. (2004). Life long changes in cognitive ability are associated with prescribed medications in old age. Int. J. Geriatric Psychiatr., 19, 327–332. CrossRef
SPSS 14.0 for Windows. (2005). SPSS 14.0 for Windows. Chicago Illinois: SPSS Inc.
- Which aspects of subjectively reported quality of life are important in predicting mortality beyond known risk factors? The Lothian Birth Cohort 1921 Study
Caroline E. Brett
John M. Starr
Ian J. Deary
- Springer Netherlands