Estimating EQ-5D utility values for major health behavioural risk factors in England

Maheswaran, Hendramoorthy ORCID: 0000-0002-7375-4845, Petrou, Stavros, Rees, Karen and Stranges, Saverio
(2013) Estimating EQ-5D utility values for major health behavioural risk factors in England. JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH, 67 (2). pp. 172-180.

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<h4>Background</h4>Major behavioural risk factors, namely obesity, alcohol consumption, smoking, lack of fruit and vegetable intake and physical inactivity negatively impact on self-reported quality of life. However, little is known about their impact on preference-based measures of health-related quality of life commonly used to inform economic evaluations.<h4>Methods</h4>Preference-based health-related quality of life outcomes associated with major behavioural risk factors were estimated using the EuroQol EQ-5D responses of 14 117 participants, aged ≥16 years, in the 2008 Health Survey for England. Multivariable linear regression was used to model the relationship between the five risk factors and EQ-5D utility scores. In addition, logistic regression was used to model their relationship to dichotomous reports of problems for each of the five EQ-5D dimensions.<h4>Results</h4>Only one-third of participants had a body mass index within normal range, never drank alcohol, consumed at least five portions of fruit or vegetable/day or exercised regularly, while nearly half of participants were smokers or ex-smokers. In the fully adjusted multivariable analyses, reductions in EQ-5D utility scores (95% CI) of 0.105 (0.072 to 0.137), 0.062 (0.042 to 0.082) and 0.142 (0.129 to 0.155) were estimated for a body mass index ≥40 kg/m(2), heavy smoking (≥20 cigarettes/day) and physical inactivity, respectively. Hazardous alcohol consumption (men >4 and ≤8 units/day; women >3 and ≤6 units/day) and daily fruit and vegetable intake between three and less than five portions were associated with small positive effects on EQ-5D utility scores (p<0.05).<h4>Conclusions</h4>The high prevalence and substantial utility loss associated with obesity, smoking and physical inactivity highlight the potential impact that interventions aimed at their prevention or alleviation may have on population health.

Item Type: Article
Uncontrolled Keywords: Humans, Obesity, Body Mass Index, Exercise, Diet, Health Surveys, Prevalence, Logistic Models, Risk Factors, Smoking, Life Style, Health Status, Quality of Life, Socioeconomic Factors, Adult, Aged, England, Female, Male, Surveys and Questionnaires
Depositing User: Symplectic Admin
Date Deposited: 10 Nov 2017 11:25
Last Modified: 19 Jan 2023 06:51
DOI: 10.1136/jech-2012-201019
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