Association between lifestyle factors and quality- adjusted life years in the EPIC-NL cohort

Autor: N. Charlotte Onland-Moret, H. Bas Bueno-de-Mesquita, Jeljer Hoekstra, Jolanda M. A. Boer, Heidi P. Fransen, G. Ardine de Wit, Anne M. May, Ellen A. Struijk, Yvonne T. van der Schouw, Petra H.M. Peeters, Joline W.J. Beulens
Přispěvatelé: Epidemiology and Data Science, ACS - Diabetes & metabolism, ACS - Heart failure & arrhythmias, APH - Health Behaviors & Chronic Diseases
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Zdroj: Fransen, H P, May, A M, Beulens, J W J, Struijk, E A, De Wit, G A, Boer, J M A, Onland-Moret, N C, Hoekstra, J, Der Schouw, Y T V, Bueno-De-mesquita, H B & Peeters, P H M 2014, ' Association between lifestyle factors and quality-adjusted life years in the EPIC-NL cohort ', PLoS ONE, vol. 9, no. 11, e111480 . https://doi.org/10.1371/journal.pone.0111480
PLoS ONE, Vol 9, Iss 11, p e111480 (2014)
PLoS ONE, 9(11):e111480. Public Library of Science
PLoS ONE
ISSN: 1932-6203
Popis: The aim of our study was to relate four modifiable lifestyle factors (smoking status, body mass index, physical activity and diet) to health expectancy, using quality-adjusted life years (QALYs) in a prospective cohort study. Data of the prospective EPIC-NL study were used, including 33,066 healthy men and women aged 20-70 years at baseline (1993-7), followed until 31-12-2007 for occurrence of disease and death. Smoking status, body mass index, physical activity and adherence to a Mediterranean-style diet (excluding alcohol) were investigated separately and combined into a healthy lifestyle score, ranging from 0 to 4. QALYs were used as summary measure of healthy life expectancy, combining a person's life expectancy with a weight for quality of life when having a chronic disease. For lifestyle factors analyzed separately the number of years living longer in good health varied from 0.12 year to 0.84 year, after adjusting for covariates. A combination of the four lifestyle factors was positively associated with higher QALYs (P-trend
Databáze: OpenAIRE