BACKGROUND: Deviation from normal weight is associated with health risks, but less is known about the association between weight and health-related quality of life (HRQOL). We investigated this in the context of a population-based study, using a standard five-category weight classification system based on body mass index (BMI). METHODS: The Canadian Multicentre Osteoporosis Study is a randomly selected sample of men and women over 25 years of age from nine centres across Canada. Data were obtained by interview, and height and weight were measured and used to calculate BMI. HRQOL was measured using the SF-36. Multivariable linear regression was used to identify the association between BMI category and SF-36 scores after controlling for potential confounders. RESULTS: Complete data were available for 6,302 women and 2,792 men. Mean BMI for every age and gender group exceeded healthy weight guidelines. For women, being underweight, overweight or obese was associated with poorer HRQOL in most SF-36 outcomes while for men, this was associated with poorer HRQOL in some domains and with higher HRQOL in others. CONCLUSIONS: A significant proportion of the population may be putting their health at risk due to excess weight, which may have a substantial negative effect on HRQOL, particularly in women. This underscores the need for continued public health efforts aimed at combating overweight and obesity.
BACKGROUND: Deviation from normal weight is associated with health risks, but less is known about the association between weight and health-related quality of life (HRQOL). We investigated this in the context of a population-based study, using a standard five-category weight classification system based on body mass index (BMI). METHODS: The Canadian Multicentre Osteoporosis Study is a randomly selected sample of men and women over 25 years of age from nine centres across Canada. Data were obtained by interview, and height and weight were measured and used to calculate BMI. HRQOL was measured using the SF-36. Multivariable linear regression was used to identify the association between BMI category and SF-36 scores after controlling for potential confounders. RESULTS: Complete data were available for 6,302 women and 2,792 men. Mean BMI for every age and gender group exceeded healthy weight guidelines. For women, being underweight, overweight or obese was associated with poorer HRQOL in most SF-36 outcomes while for men, this was associated with poorer HRQOL in some domains and with higher HRQOL in others. CONCLUSIONS: A significant proportion of the population may be putting their health at risk due to excess weight, which may have a substantial negative effect on HRQOL, particularly in women. This underscores the need for continued public health efforts aimed at combating overweight and obesity.
Authors: W M Hopman; T Towheed; T Anastassiades; A Tenenhouse; S Poliquin; C Berger; L Joseph; J P Brown; T M Murray; J D Adachi; D A Hanley; E Papadimitropoulos Journal: CMAJ Date: 2000-08-08 Impact factor: 8.262
Authors: Martha L Daviglus; Kiang Liu; Lijing L Yan; Amber Pirzada; Daniel B Garside; Linda Schiffer; Alan R Dyer; Philip Greenland; Jeremiah Stamler Journal: Arch Intern Med Date: 2003-11-10
Authors: Wilma M Hopman; Cristine Leroux; Claudie Berger; Lawrence Joseph; Susan I Barr; Jerilynn C Prior; Mark Harrison; Suzette Poliquin; Tanveer Towheed; Tassos Anastassiades; David Goltzman Journal: BMC Public Health Date: 2007-07-09 Impact factor: 3.295
Authors: David Feeny; Rochelle Garner; Julie Bernier; Amanda Thompson; Bentson H McFarland; Nathalie Huguet; Mark S Kaplan; Nancy A Ross; Chris M Blanchard Journal: J Phys Act Health Date: 2013-10-31
Authors: Wendy Demark-Wahnefried; Graham A Colditz; Cheryl L Rock; Rebecca L Sedjo; Jingxia Liu; Kathleen Y Wolin; Helen Krontiras; Tim Byers; Bilgé Pakiz; Barbara A Parker; Michael Naughton; Anthony Elias; Patricia A Ganz Journal: Breast Cancer Res Treat Date: 2015-10-31 Impact factor: 4.872