Obesity and health-related quality of life: a cross-sectional analysis of the US population
- 26 September 2003
- journal article
- Published by Springer Nature in International Journal of Obesity
- Vol. 27 (10) , 1227-1232
- https://doi.org/10.1038/sj.ijo.0802396
Abstract
OBJECTIVE: To examine the relationship between body mass index (BMI) and health-related quality-of-life (HRQL), in the presence of dietary controls and/or exercise in a national sample in the United States. METHODS: BMI and its association with HRQL domains (physical, mental and activity limitations) were examined using the Centers' for Disease Control and Prevention's 2000 Behavioral Risk Factor Surveillence System (BRFSS) data, after adjusting for various sociodemographic factors, self-reported health-status, and diet/exercise behavior. RESULTS: Based on World Health Organization's (WHO) classification of obesity, the study sample (N=182 372) included approximately 43.7% nonoverweight, 36% overweight, 14% obese, and 7% severely obese respondents. Exercise and dietary modifications were used by 17.5% of overweight, 15.2% of obese, and 12.5% of severely obese individuals. Logistic regression results using nonoverweight BMI as the reference category showed that severely obese (OR=1.87, 95% CI 1.64–2.12) and obese (OR=1.21, 95% CI 1.09–1.33) were more likely to experience greater than 14 unhealthy days affecting the physical health domain. Severely obese (OR=1.41, 95% CI 1.26–1.59) and obese (OR=1.17, 95% CI 1.07–1.28) were also more likely to experience greater than 14 unhealthy days affecting the mental health domain. Similarly, severely obese (OR=1.73, 95% CI 1.50–1.99) and obese (OR=1.22, 95% CI 1.08–1.37) were more likely to experience greater than 14 days with activity limitations. Exercise and dietary controls were associated with better HRQL across all three domains. CONCLUSION: The study highlights the relationship between BMI and HRQL in the United States. The study also underlines the positive correlation of exercise and dietary modifications with HRQL.Keywords
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