The relationship between body mass index and health-related quality of life: comparing the EQ-5D, EuroQol VAS and SF-6D

Sach, Tracey; Barton, Garry; Doherty, Michael; Muir, Kenneth; Jenkinson, Claire; Avery, Anthony J

doi:10.1038/sj.ijo.0803365

Cited by 221 publications

(204 citation statements)

References 42 publications

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“…Numerous cross-sectional studies have affirmed that compared to normal-weight individuals, obese individuals are more likely to have a poorer level of physical HRQoL [8][9][10][11][12][13][14][15][16][17]22,25,30,31,34,37]. Our study results confirmed that BMI is inversely associated with physical SF-12 summary score.…”

Section: Cross-sectional Association Between Bmi and Hrqolsupporting

confidence: 82%

“…In overweight and obese individuals, the physical SF-12 summary score decreased with increasing BMI whereas no such association was found in normalweight individuals. Several studies identified the highest levels of physical HRQoL among normal-weight adults [8][9][10][11]13,16,17,30,54]. However, other studies showed significantly poorer physical HRQoL only in obese but not in overweight individuals [14,15,31,37].…”

Section: Cross-sectional Association Between Bmi and Hrqolmentioning

confidence: 97%

“…In most studies, HRQoL was reduced in underweight and obese individuals; typically it was highest for individuals with a body mass index (BMI) between around 18.5 kg/m 2 and 25 kg/ m 2 , i.e., normal-weight individuals [8][9][10][11][12][13][14][15]24,26].…”

Section: Introductionmentioning

confidence: 99%

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Longitudinal Association Between Body Mass Index and Health-Related Quality of Life.

Müller-Nordhorn¹,

Muckelbauer²,

Englert

et al. 2015

International Journal of Epidemiology

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Objective: Health-related quality of life (HRQoL) is an important outcome in individuals with a high risk for cardiovascular diseases. We investigated the association of HRQoL and body mass index (BMI) as an indicator for obesity.Design: Secondary longitudinal analysis of the ORBITAL study, an intervention study which included high-risk cardiovascular primary care patients with hypercholesterolemia and an indication for statin therapy.Methods: HRQoL was determined with the generic Short Form (SF)-12 health status instrument. Body weight and height were assessed at baseline and at months 6, 12, 18, 24, 30, and 36. We used a linear and a linear mixed-effects regression model to investigate the association between BMI and SF-12 summary scores at baseline as well as between change in BMI and SF-12 summary scores over 3 years. We adjusted for age, sex, smoking status, and in the longitudinal analysis also for the study arm and its interaction term with time.Results: Of the 7640 participants who completed the baseline questionnaire, 6726 participants (mean age: 61 years) were analyzed. The baseline BMI was inversely associated with physical and mental SF-12 summary scores (b [95% CI] per 1 kg/ m 2 : 20. 36 [20.41; 20.30] and 20.05 [20.11; 20.00], respectively). A significant association between the change in BMI and physical SF-12 summary scores over time was only present in women (20.18 [20.27; 20.09]) and only in obese participants (20.19 [20.29; 20.10]). A change in BMI was directly associated with mental SF-12 summary scores (0.12 [0.06; 0.19]) in the total population. Conclusion:Increases in BMI were associated with decreases in physical HRQoL, particularly in obese individuals and in women. In contrast, the mental HRQoL seemed to increase with increasing BMI over time. Thus, body weight management with respect to the HRQoL should be evaluated differentially by sex and body weight status.

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Section: Cross-sectional Association Between Bmi and Hrqolsupporting

confidence: 82%

Section: Cross-sectional Association Between Bmi and Hrqolmentioning

confidence: 97%

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Longitudinal Association Between Body Mass Index and Health-Related Quality of Life.

Müller-Nordhorn¹,

Muckelbauer²,

Englert

et al. 2015

International Journal of Epidemiology

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“…Consequently, the CI of depth of obesity can also be interpreted as the distribution (according to income) of excess mortality that is associated with obesity. Results from several studies conducted in the United States (Jia and Lubetkin 2005; Sach et al 2007; Finkelstein et al 2010) indicate that health‐related quality of life decreases approximately quadratically with BMI above the obesity threshold. Thus, the CI of severity of obesity can also be thought of as approximately reflecting the distribution (according to income) of quality of life lost due to obesity.…”

Section: Methodsmentioning

confidence: 99%

Measuring Socioeconomic Inequality in Obesity: Looking Beyond the Obesity Threshold

2016

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We combine two of the most widely used measures in the inequality and poverty literature, the concentration index and Foster–Greer–Thorbecke metric to the analysis of socioeconomic inequality in obesity. This enables us to describe socioeconomic inequality not only in obesity status but also in its depth and severity. We apply our method to 1971–2012 US data and show that while the socioeconomic inequality in obesity status has now almost disappeared, this is not the case when depth and severity of obesity are considered. Such socioeconomic gradient is found to be greatest among non‐Hispanic whites, but decomposition analysis also reveals an inverse relationship between income and obesity outcomes among Mexican Americans once the effect of immigrant status has been accounted for. The socioeconomic gradient is also greater among women with marital status further increasing it for severity of obesity while the opposite is true among men. Overall, the socioeconomic gradient exists as poorer individuals lie further away from the obesity threshold. Our study stresses the need for policies that jointly consider obesity and income to support those who suffer from the double burden of poverty and obesity‐related health conditions. © 2016 The Authors. Health Economics Published by John Wiley & Sons Ltd.

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“…reported that the higher the BMI, the worse the HRQL of individuals compared to those with normal BMI (30). Cameron and cols.…”

Section: Pain and Quality Of Life In Obese Patientsmentioning

confidence: 99%

Prevalence of musculoskeletal symptoms in obese patients candidates for bariatric surgery and its impact on health related quality of life

Calenzani

Santos

Wittmer

et al. 2017

Arch. Endocrinol. Metab.

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Objective: This study was designed to identify the major musculoskeletal symptoms of individuals with obesity, to assess their health-related quality of life, and to evaluate the correlation between the musculoskeletal symptoms and the individuals' health-related quality of life. Materials and methods: Cross-sectional study. Instruments used: "Nordic Musculoskeletal Questionnaire" and "The Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36)" . Results: In total, 41 subjects were evaluated, of which 90.15% were female. The mean age of the subjects was 40.78 ± 9.85 years and their mean body-mass index was 46.87 ± 8.08. All subjects reported musculoskeletal pain in at least one anatomical region and 80.49% had pain in three or more regions. The activity limitations due to pain were reported by 75.61% of them. The most affected regions by pain were the ankles and/or feet, lower back, knees and wrists/hands/fingers. The most associated regions with activity limitations due to pain were the ankles and/or feet, knees and lower back. The presence of pain showed a negative correlation with the domains physical functioning (PF), role-physical (RP) and body pain (BP). The activity limitations showed a negative correlation with the domains PF, BP, social functioning (SF) and role-emotional (RE). Conclusion: Our data showed a high prevalence of musculoskeletal pain and limitation in activities due to pain in obese subjects. The musculoskeletal symptoms had negative correlations with physical and mental components of the health-related quality of life, highlighting the importance of ensuring that patients with obesity have access to interdisciplinary care, for the prevention and rehabilitation of musculoskeletal disorders. Arch Endocrinol Metab. 2017;61(3):319-25.

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The relationship between body mass index and health-related quality of life: comparing the EQ-5D, EuroQol VAS and SF-6D

Cited by 221 publications

References 42 publications

Longitudinal Association Between Body Mass Index and Health-Related Quality of Life.

Longitudinal Association Between Body Mass Index and Health-Related Quality of Life.

Measuring Socioeconomic Inequality in Obesity: Looking Beyond the Obesity Threshold

Prevalence of musculoskeletal symptoms in obese patients candidates for bariatric surgery and its impact on health related quality of life

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