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Association Between Physical and Mental Health-related Quality of Life and Adverse Outcomes; a Retrospective Cohort Study of 5,272 Scottish Adults

Overview
Publisher Biomed Central
Specialty Public Health
Date 2014 Nov 23
PMID 25416612
Citations 33
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Abstract

Background: Health-related quality of life (HRQoL) is associated with adverse outcomes in disease-specific populations. This study examines whether it is also independent predictor of incident cancer, coronary heart disease (CHD) and mortality in the general population.

Methods: The records of adult participants in the Scottish Health Survey 2003 were linked with hospital admissions, cancer registrations and death certificates. Cox proportional hazard models were used to explore the associations between quintiles of physical and mental component summary score (PCS and MCS respectively) of the SF-12 and adverse outcomes. Higher quintiles of both PCS and MCS indicate better health status.

Results: Among the 5,272 study participants, the mean PCS score was 49 (standard deviation (SD) 10.3). Participants were followed-up for a mean of 7.6 years. On survival analysis the lowest quintile of PCS was a strong predictor of all-cause death (hazard ratio (HR) 2.81, 95% CI 1.76, 4.49), incident cancer (HR 1.63, 95% CI 1.10, 2.42), and CHD events (HR 1.99, 95% CI 1.00, 3.96), compared to the highest quintile. This association was independent of adiposity and other confounders. The mean MCS score 52 (SD 8.8). MCS quintile was not associated with incident cancer and CHD, and the association between MCS and all-cause death (HR 1.33, 95% CI 1.01, 1.75) became non-significant after adjustment for adiposity.

Conclusion: Physical HRQoL is a significant predictor of a range of adverse outcomes, even after adjustment for adiposity and other confounders. This study highlights the importance of perceived health in the general population.

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References
1.
Idler E, Russell L, Davis D . Survival, functional limitations, and self-rated health in the NHANES I Epidemiologic Follow-up Study, 1992. First National Health and Nutrition Examination Survey. Am J Epidemiol. 2000; 152(9):874-83. DOI: 10.1093/aje/152.9.874. View

2.
Grool A, Van der Graaf Y, Visseren F, de Borst G, Algra A, Geerlings M . Self-rated health status as a risk factor for future vascular events and mortality in patients with symptomatic and asymptomatic atherosclerotic disease: the SMART study. J Intern Med. 2012; 272(3):277-86. DOI: 10.1111/j.1365-2796.2012.02521.x. View

3.
Kalantar-Zadeh K, Kopple J, Block G, Humphreys M . Association among SF36 quality of life measures and nutrition, hospitalization, and mortality in hemodialysis. J Am Soc Nephrol. 2001; 12(12):2797-2806. DOI: 10.1681/ASN.V12122797. View

4.
Kenchaiah S, Evans J, Levy D, Wilson P, Benjamin E, Larson M . Obesity and the risk of heart failure. N Engl J Med. 2002; 347(5):305-13. DOI: 10.1056/NEJMoa020245. View

5.
Bianchini F, Kaaks R, Vainio H . Overweight, obesity, and cancer risk. Lancet Oncol. 2002; 3(9):565-74. DOI: 10.1016/s1470-2045(02)00849-5. View