Literature DB >> 22844084

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

Hendramoorthy Maheswaran1, Stavros Petrou, Karen Rees, Saverio Stranges.   

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.

Entities:  

Mesh:

Year:  2012        PMID: 22844084     DOI: 10.1136/jech-2012-201019

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  22 in total

1.  Anchoring vignettes for health comparisons: an analysis of response consistency.

Authors:  Nicole Au; Paula K Lorgelly
Journal:  Qual Life Res       Date:  2014-01-03       Impact factor: 4.147

2.  The relationship between SF-6D utility scores and lifestyle factors across three life stages: evidence from the Australian Longitudinal Study on Women's Health.

Authors:  Jeeva Kanesarajah; Michael Waller; Jennifer A Whitty; Gita D Mishra
Journal:  Qual Life Res       Date:  2017-02-03       Impact factor: 4.147

3.  Health-related quality of life in women after colposcopy: results from a longitudinal patient survey.

Authors:  M O'Connor; A Ó Céilleachair; K O'Brien; J O'Leary; C Martin; T D'Arcy; G Flannelly; J McRae; W Prendiville; C Ruttle; C White; L Pilkington; L Sharp
Journal:  Qual Life Res       Date:  2021-04-01       Impact factor: 4.147

4.  Associations between healthy lifestyle score and health-related quality of life among Chinese rural adults: variations in age, sex, education level, and income.

Authors:  Wei Liao; Xiaotian Liu; Ning Kang; Yu Song; Yinghao Yuchi; Ze Hu; Jian Hou; Chongjian Wang; Yuqian Li
Journal:  Qual Life Res       Date:  2022-08-16       Impact factor: 3.440

5.  Using the SF-6D to measure the impact of alcohol dependence on health-related quality of life.

Authors:  Jacinto Mosquera Nogueira; Eva Rodríguez-Míguez
Journal:  Eur J Health Econ       Date:  2014-09-06

6.  Self-reported health and socio-economic inequalities in England, 1996-2009: Repeated national cross-sectional study.

Authors:  Hendramoorthy Maheswaran; Emil Kupek; Stavros Petrou
Journal:  Soc Sci Med       Date:  2015-05-18       Impact factor: 4.634

7.  Costs of cancer care for use in economic evaluation: a UK analysis of patient-level routine health system data.

Authors:  P S Hall; P Hamilton; C T Hulme; D M Meads; H Jones; A Newsham; J Marti; A F Smith; H Mason; G Velikova; L Ashley; P Wright
Journal:  Br J Cancer       Date:  2015-01-20       Impact factor: 7.640

8.  Health-related quality of life and socioeconomic status: inequalities among adults with a chronic disease.

Authors:  Andreas Mielck; Martin Vogelmann; Reiner Leidl
Journal:  Health Qual Life Outcomes       Date:  2014-04-25       Impact factor: 3.186

Review 9.  Increased consumption of fruit and vegetables for the primary prevention of cardiovascular diseases.

Authors:  Louise Hartley; Ewemade Igbinedion; Jennifer Holmes; Nadine Flowers; Margaret Thorogood; Aileen Clarke; Saverio Stranges; Lee Hooper; Karen Rees
Journal:  Cochrane Database Syst Rev       Date:  2013-06-04

10.  Incorporating social network effects into cost-effectiveness analysis: a methodological contribution with application to obesity prevention.

Authors:  Chad Konchak; Kislaya Prasad
Journal:  BMJ Open       Date:  2012-10-31       Impact factor: 2.692

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.