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Cited by 65Health Systems, Economic Evaluations, Quality of LifeEconomic and Environmental ValuationQuality of Life Measurement

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

Maheswaran, Hendramoorthy, Petrou, Stavros, Rees, Karen, Stranges, Saverio·2013·Journal of Epidemiology and Community Health
DOI 10.1136/jech-2012-201019
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Abstract

Background: 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. Methods: 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. Results: 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). Conclusions: 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.

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  • Major behavioural risk factors such as obesity, smoking, excess alcohol consumption and poor dietary patterns account for large shares of the burden of morbidity and mortality, both nationally and globally.

    “Major behavioural risk factors such as obesity, smoking, excess alcohol consumption and poor dietary patterns account for large shares of the burden of morbidity and mortality, both nationally and globally.1–3”

    From Major health-related behaviours and mental well-being in the general population: the Health Survey for England (2014) · cites this paper as [3]

  • Results are generally consistent with observational studies of the association between BMI and measures of health-related quality of life, including physical and mental health domains.

    “Our results are also generally consistent with observational studies of the association between BMI and measures of health-related quality of life, including both physical and mental health domains.3 5”

    From Major health-related behaviours and mental well-being in the general population: the Health Survey for England (2014) · cites this paper as [3]

  • A reduced risk of low mental well-being in people consuming alcohol within sensible drinking limits is in line with a U-shaped association supported by epidemiological data linking regular moderate consumption to better health outcomes than abstinence or heavy drinking.

    “A reduced risk of low mental well-being in people consuming alcohol within the sensible drinking limits is also in line with a U-shaped association, as supported by a large body of epidemiological data linking regular moderate consumption of alcohol to better health outcomes than abstinence or heavy drinking, across several populations worldwide.3 4”

    From Major health-related behaviours and mental well-being in the general population: the Health Survey for England (2014) · cites this paper as [3]

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Authors
Maheswaran, H., Petrou, S., Rees, K., & Stranges, S.
Affiliations
University of Warwick (GB)
Corresponding author
Maheswaran, Hendramoorthy
ORCID
Venue
Journal of Epidemiology and Community Health
Publisher
BMJ
Published
2012-07-29
Volume
67
Issue
2
Pages
172-180
ISSN
  • 0141-7681 (ISSN-L)
  • 0143-005X
  • 1470-2738
DOI
10.1136/jech-2012-201019
OpenAlex
W2096648819
Cited by
65
References
52
Citations by year
2026: 6 · 2025: 3 · 2024: 8 · 2023: 3 · 2022: 6 · 2021: 5 · 2020: 5 · 2019: 3 · 2018: 2 · 2017: 6 · 2016: 5 · 2015: 3 · 2014: 6 · 2013: 2 · 2012: 2
FWCI
9.91
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Epidemiology & Community Health (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Environmental Valuation
  • Social Sciences › Sociology and Political Science › Quality of Life Measurement
Keywords
EQ-5D, health-related quality of life, health utility, behavioral risk factors, obesity, smoking, physical inactivity, alcohol consumption, fruit and vegetable intake, Health Survey for England
MeSH terms
Adult, Aged, Diet, England, Female, Health Status, Health Surveys, Humans, Life Style, Male, Obesity, Quality of Life, Surveys and Questionnaires, Risk Factors, Smoking, Socioeconomic Factors, Exercise, Body Mass Index, Prevalence, Logistic Models

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