Hans-Helmut König1, Thomas Lehnert1, Hermann Brenner2, Ben Schöttker2, Renate Quinzler3, Walter Emil Haefeli3, Herbert Matschinger1, Dirk Heider1. 1. Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. 2. Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany. 3. Department of Clinical Pharmacology and Pharmacoepidemiology, University of Heidelberg, Heidelberg, Germany.
Abstract
BACKGROUND: excess weight is a risk factor for numerous co-morbidities that predominantly occur in later life. This study's purpose was to analyse the association between excess weight and health service use/costs in the older population in Germany. METHODS: this cross-sectional analysis used data of n = 3,108 individuals aged 58-82 from a population-based prospective cohort study. Body mass index (BMI) and waist-to-height ratio (WHtR) were calculated based on clinical examinations. Health service use was measured by a questionnaire for a 3-month period. Corresponding costs were calculated applying a societal perspective. RESULTS: 21.8% of the sample were normal weight, 43.0% overweight, 25.5% obese class 1 and 9.6% obese class ≥2 according to BMI. In 42.6%, WHtR was ≥0.6. For normal weight, overweight, obese class 1 and obese class ≥2 individuals, mean costs (3-month period) of outpatient care were 384€, 435€, 475€ and 525€ (P < 0.001), mean costs of inpatient care were 284€, 408€, 333€ and 652€ (P = 0.070) and mean total costs 716€, 891€, 852€ and 1,244€ (P = 0.013). For individuals with WHtR <0.6 versus ≥0.6, outpatient costs were 401€ versus 499€ (P < 0.001), inpatient costs 315€ versus 480€ (P = 0.016) and total costs 755€ versus 1,041€ (P < 0.001). Multiple regression analyses controlling for sociodemographic variables showed a significant effect of obesity on costs of outpatient care (class 1: +72€; class ≥2: +153€) and total costs (class ≥2: +361€) while the effect of overweight was not significant. WHtR ≥0.6 significantly increased outpatient costs by +79€ and total costs by +189€. CONCLUSIONS: excess weight is associated with increased service use and cost in elderly individuals, in particular in obese class ≥2 individuals.
BACKGROUND: excess weight is a risk factor for numerous co-morbidities that predominantly occur in later life. This study's purpose was to analyse the association between excess weight and health service use/costs in the older population in Germany. METHODS: this cross-sectional analysis used data of n = 3,108 individuals aged 58-82 from a population-based prospective cohort study. Body mass index (BMI) and waist-to-height ratio (WHtR) were calculated based on clinical examinations. Health service use was measured by a questionnaire for a 3-month period. Corresponding costs were calculated applying a societal perspective. RESULTS: 21.8% of the sample were normal weight, 43.0% overweight, 25.5% obese class 1 and 9.6% obese class ≥2 according to BMI. In 42.6%, WHtR was ≥0.6. For normal weight, overweight, obese class 1 and obese class ≥2 individuals, mean costs (3-month period) of outpatient care were 384€, 435€, 475€ and 525€ (P < 0.001), mean costs of inpatient care were 284€, 408€, 333€ and 652€ (P = 0.070) and mean total costs 716€, 891€, 852€ and 1,244€ (P = 0.013). For individuals with WHtR <0.6 versus ≥0.6, outpatient costs were 401€ versus 499€ (P < 0.001), inpatient costs 315€ versus 480€ (P = 0.016) and total costs 755€ versus 1,041€ (P < 0.001). Multiple regression analyses controlling for sociodemographic variables showed a significant effect of obesity on costs of outpatient care (class 1: +72€; class ≥2: +153€) and total costs (class ≥2: +361€) while the effect of overweight was not significant. WHtR ≥0.6 significantly increased outpatient costs by +79€ and total costs by +189€. CONCLUSIONS: excess weight is associated with increased service use and cost in elderly individuals, in particular in obese class ≥2 individuals.
Authors: Maximilian Tremmel; Ulf-G Gerdtham; Peter M Nilsson; Sanjib Saha Journal: Int J Environ Res Public Health Date: 2017-04-19 Impact factor: 3.390
Authors: Jens-Oliver Bock; Hans-Helmut König; Hermann Brenner; Walter E Haefeli; Renate Quinzler; Herbert Matschinger; Kai-Uwe Saum; Ben Schöttker; Dirk Heider Journal: BMC Health Serv Res Date: 2016-04-14 Impact factor: 2.655