naa a22 4500 51078593X CHVBK 20180411083302.0 cr unu---uuuuu 180411e20130601xx s 000 0 eng 10.1007/s12603-013-0022-y doi (NATIONALLICENCE)springer-10.1007/s12603-013-0022-y The relationship between body mass index and quality of life in community-living older adults living in the United States [Elektronische Daten] [Frank Bottone, K. Hawkins, S. Musich, Y. Cheng, R. Ozminkowski, R. Migliori, C. Yeh] Background: Carrying excess weight is associated with various chronic conditions especially in older adults, and can have a negative influence on the quality of life of this population. Objective: The objective of this study was to estimate the independent (i.e. adjusted for demographic, socioeconomic and health status differences) impact of Body Mass Index (BMI) on health-related quality of life. Design: A mail survey was sent to 60,000 older adults living in 10 states. Methods: The survey assessed quality of life using the average physical component scores (PCS) and mental component scores (MCS) obtained from the Veterans Rand 12-item (VR-12) health status tool embedded in the survey. Ordinary least squares (OLS) regression techniques were used to estimate the independent impact of each BMI category on quality of life, compared to the impact of other chronic conditions. Results: A total of 22,827 (38%) eligible sample members responded to the survey. Of those, 2.2% were underweight, 38.5% had a normal BMI, 37.0% were overweight, 18.5% were obese and 1.9% were morbidly obese. Following OLS regression techniques, respondents' PCS values were statistically significantly lower for the underweight, overweight, obese and morbidly obese BMI categories, compared to the normal BMI group. Compared with all other chronic conditions, being morbidly obese (−6.0 points) had the largest negative impact on the PCS. Underweight was the only BMI category with a statistically significantly lower MCS value. Conclusions: The greatest negative impacts of the various BMI categories on quality of life were on physical rather than mental aspects, especially for those in the underweight, obese and morbidly obese categories, more so than many other chronic conditions. Serdi and Springer-Verlag France, 2013 Medicare nationallicence quality of life nationallicence obesity nationallicence underweight nationallicence Bottone Frank Advanced Analytics, OptumInsight, 48108, Ann Arbor, MI, USA aut Hawkins K. Advanced Analytics, OptumInsight, 48108, Ann Arbor, MI, USA aut Musich S. Advanced Analytics, OptumInsight, 48108, Ann Arbor, MI, USA aut Cheng Y. Advanced Analytics, OptumInsight, 48108, Ann Arbor, MI, USA aut Ozminkowski R. OptumHealth Care Solutions, 48108, Ann Arbor, MI, USA aut Migliori R. UnitedHealth Group Alliances, 55343, Minnetonka, MN, USA aut Yeh C. AARP Services, 20049, Washington, DC, USA aut The journal of nutrition, health & aging Springer Paris 17/6(2013-06-01), 495-501 1279-7707 17:6<495 2013 17 12603 https://doi.org/10.1007/s12603-013-0022-y text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s12603-013-0022-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Bottone Frank Advanced Analytics, OptumInsight, 48108, Ann Arbor, MI, USA aut NATIONALLICENCE 700 1- Hawkins K. Advanced Analytics, OptumInsight, 48108, Ann Arbor, MI, USA aut NATIONALLICENCE 700 1- Musich S. Advanced Analytics, OptumInsight, 48108, Ann Arbor, MI, USA aut NATIONALLICENCE 700 1- Cheng Y. Advanced Analytics, OptumInsight, 48108, Ann Arbor, MI, USA aut NATIONALLICENCE 700 1- Ozminkowski R. OptumHealth Care Solutions, 48108, Ann Arbor, MI, USA aut NATIONALLICENCE 700 1- Migliori R. UnitedHealth Group Alliances, 55343, Minnetonka, MN, USA aut NATIONALLICENCE 700 1- Yeh C. AARP Services, 20049, Washington, DC, USA aut NATIONALLICENCE 773 0- The journal of nutrition, health & aging Springer Paris 17/6(2013-06-01), 495-501 1279-7707 17:6<495 2013 17 12603 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer