Relationship of Body Mass Index and Physical Activity to Health Care Costs Among Employees

2004 ◽  
Vol 46 (5) ◽  
pp. 428-436 ◽  
Author(s):  
Feifei Wang ◽  
Tim McDonald ◽  
Laura J. Champagne ◽  
Dee W. Edington
2020 ◽  
Vol 40 (2) ◽  
pp. 156-169 ◽  
Author(s):  
Christoph F. Kurz ◽  
Michael Laxy

Causal effect estimates for the association of obesity with health care costs can be biased by reversed causation and omitted variables. In this study, we use genetic variants as instrumental variables to overcome these limitations, a method that is often called Mendelian randomization (MR). We describe the assumptions, available methods, and potential pitfalls of using genetic information and how to address them. We estimate the effect of body mass index (BMI) on total health care costs using data from a German observational study and from published large-scale data. In a meta-analysis of several MR approaches, we find that models using genetic instruments identify additional annual costs of €280 for a 1-unit increase in BMI. This is more than 3 times higher than estimates from linear regression without instrumental variables (€75). We found little evidence of a nonlinear relationship between BMI and health care costs. Our results suggest that the use of genetic instruments can be a powerful tool for estimating causal effects in health economic evaluation that might be superior to other types of instruments where there is a strong association with a modifiable risk factor.


2013 ◽  
Vol 16 (7) ◽  
pp. A380
Author(s):  
S. Abouzaid ◽  
N.L. Kleinman ◽  
L. Andersen ◽  
Z. Wang ◽  
A. Powers

Medical Care ◽  
2018 ◽  
Vol 56 (12) ◽  
pp. 1042-1050 ◽  
Author(s):  
Hadi Kharrazi ◽  
Hsien-Yen Chang ◽  
Sara E. Heins ◽  
Jonathan P. Weiner ◽  
Kimberly A. Gudzune

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0247307
Author(s):  
Zachary J. Ward ◽  
Sara N. Bleich ◽  
Michael W. Long ◽  
Steven L. Gortmaker

Background Estimates of health care costs associated with excess weight are needed to inform the development of cost-effective obesity prevention efforts. However, commonly used cost estimates are not sensitive to changes in weight across the entire body mass index (BMI) distribution as they are often based on discrete BMI categories. Methods We estimated continuous BMI-related health care expenditures using data from the Medical Expenditure Panel Survey (MEPS) 2011–2016 for 175,726 respondents. We adjusted BMI for self-report bias using data from the National Health and Nutrition Examination Survey (NHANES) 2011–2016, and controlled for potential confounding between BMI and medical expenditures using a two-part model. Costs are reported in $US 2019. Results We found a J-shaped curve of medical expenditures by BMI, with higher costs for females and the lowest expenditures occurring at a BMI of 20.5 for adult females and 23.5 for adult males. Over 30 units of BMI, each one-unit BMI increase was associated with an additional cost of $253 (95% CI $167-$347) per person. Among adults, obesity was associated with $1,861 (95% CI $1,656-$2,053) excess annual medical costs per person, accounting for $172.74 billion (95% CI $153.70-$190.61) of annual expenditures. Severe obesity was associated with excess costs of $3,097 (95% CI $2,777-$3,413) per adult. Among children, obesity was associated with $116 (95% CI $14-$201) excess costs per person and $1.32 billion (95% CI $0.16-$2.29) of medical spending, with severe obesity associated with $310 (95% CI $124-$474) excess costs per child. Conclusions Higher health care costs are associated with excess body weight across a broad range of ages and BMI levels, and are especially high for people with severe obesity. These findings highlight the importance of promoting a healthy weight for the entire population while also targeting efforts to prevent extreme weight gain over the life course.


PLoS ONE ◽  
2008 ◽  
Vol 3 (7) ◽  
pp. e2619 ◽  
Author(s):  
Betina Højgaard ◽  
Dorte Gyrd-Hansen ◽  
Kim Rose Olsen ◽  
Jes Søgaard ◽  
Thorkild I. A. Sørensen

2014 ◽  
Vol 17 (3) ◽  
pp. A184-A185
Author(s):  
A. Adeyemi ◽  
K.L. Rascati ◽  
K.A. Lawson ◽  
J.C. Barner ◽  
J. Wilson ◽  
...  

2016 ◽  
Vol 12 (4) ◽  
pp. 307-311 ◽  
Author(s):  
Bruna Camilo Turi ◽  
Henrique Luiz Monteiro ◽  
Rômulo Araújo Fernandes ◽  
Jamile Sanches Codogno

PEDIATRICS ◽  
1993 ◽  
Vol 91 (2) ◽  
pp. 499-501
Author(s):  
WILLIAM H. DIETZ ◽  
STEVEN L. GORTMAKER

The manuscript entitled "Does television viewing increase obesity and reduce physical activity?" published by Robinson and coauthors in this issue of Pediatrics1 is a careful and well-written study of the effect of television viewing on adiposity and physical activity among sixth- and seventh-grade adolescent girls. In contrast to two other large studies of children,2,3 the authors failed to find a significant association between hours of television viewed and adiposity, measured by body mass index. Physical activity was weakly and inversely correlated to time spent viewing television. The latter observation is consistent with prior data which demonstrate a reciprocal relationship of fitness and television viewing,4 perhaps because television viewing displaces more vigorous physical activities.5


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