Years of Life Lost Due to Obesity

Fontaine, Kevin R.; Redden, David T.; Wang, Chenxi; Westfall, Andrew O.; Allison, David B.

doi:10.1001/jama.289.2.187

Cited by 2,034 publications

(1,274 citation statements)

References 23 publications

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“…Similarly, the results published by Fontaine et al . (2003) suggest a linear relationship between years of life lost due to obesity and BMI. Consequently, the CI of depth of obesity can also be interpreted as the distribution (according to income) of excess mortality that is associated with obesity.…”

Section: Methodsmentioning

confidence: 99%

Measuring Socioeconomic Inequality in Obesity: Looking Beyond the Obesity Threshold

2016

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We combine two of the most widely used measures in the inequality and poverty literature, the concentration index and Foster–Greer–Thorbecke metric to the analysis of socioeconomic inequality in obesity. This enables us to describe socioeconomic inequality not only in obesity status but also in its depth and severity. We apply our method to 1971–2012 US data and show that while the socioeconomic inequality in obesity status has now almost disappeared, this is not the case when depth and severity of obesity are considered. Such socioeconomic gradient is found to be greatest among non‐Hispanic whites, but decomposition analysis also reveals an inverse relationship between income and obesity outcomes among Mexican Americans once the effect of immigrant status has been accounted for. The socioeconomic gradient is also greater among women with marital status further increasing it for severity of obesity while the opposite is true among men. Overall, the socioeconomic gradient exists as poorer individuals lie further away from the obesity threshold. Our study stresses the need for policies that jointly consider obesity and income to support those who suffer from the double burden of poverty and obesity‐related health conditions. © 2016 The Authors. Health Economics Published by John Wiley & Sons Ltd.

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Section: Methodsmentioning

confidence: 99%

Measuring Socioeconomic Inequality in Obesity: Looking Beyond the Obesity Threshold

2016

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“…The estimated years of life lost due to obesity differs among races and between the sexes (8). It appears that obesity as defined solely by the BMI cannot always discriminate between the individuals at higher risk of developing CVD.…”

Section: Definition Of Obesitymentioning

confidence: 99%

Targeting abdominal obesity in cardiology: Can we be effective?

Poirier

2008

Canadian Journal of Cardiology

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“…The risks associated with non-GC-related obesity in pediatric patients (3,4) include metabolic syndrome (5), increased arterial stiffness (6), advanced vascular age (7), increased left atrial size (8), increased risk of coronary artery disease (9,10), and type 2 diabetes mellitus (11). Adolescent obesity frequently tracks into adulthood (12), and there are known obesity-associated health risks at all ages (13)(14)(15)(16). Conversely, obese children who reduce weight can lower the associated health risks (17).…”

Section: Introductionmentioning

confidence: 99%

Glucocorticoid‐related changes in body mass index among children and adolescents with rheumatic diseases

Shiff

Brant

Guzman

et al. 2012

Arthritis Care & Research

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Objective. To examine the temporal and dose-related effects of glucocorticoids (GCs) on body mass index (BMI) in children with rheumatic diseases.Methods. Children initiating GCs for a rheumatic disease (n ‫؍‬ 130) were assessed every 3 months for 18 months. BMI, weight, and height Z score trajectories were described according to GC starting dosage in prednisone equivalents: high (>1.0 mg/kg/day), low (<0.2 mg/kg/day to a maximum of 7.5 mg/day), and moderate (between high and low) dosage. The impact of GC dosing, underlying diagnosis, pubertal status, physical activity, and disease activity on BMI Z scores and on percent body fat was assessed with longitudinal mixed-effects growth curve models. Results. The GC starting dose was high in 59% and moderate in 39% of patients. The peak BMI Z score was ؉1.29 at 4 months with high-dose GCs and ؉0.69 at 4.2 months with moderate-dose GCs (P < 0.001). Overall, 50% (95% confidence interval 41-59%) of the children returned to within ؉0.25 SD of their baseline BMI Z score. Oral GC dose over the preceding 3 months was the most significant determinant of BMI Z score and percent body fat. The proportion of days in receipt of GCs, disease activity, and a diagnosis of systemic-onset juvenile idiopathic arthritis were also associated with BMI Z scores. The correlation between changes in BMI and changes in percent body fat was 0.09. Conclusion. In children with rheumatic diseases starting moderate and high doses of GCs, BMI Z scores peaked at 4 months, and only half returned to within ؉0.25 SD of their baseline BMI Z score after 18 months.

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Years of Life Lost Due to Obesity

Cited by 2,034 publications

References 23 publications

Measuring Socioeconomic Inequality in Obesity: Looking Beyond the Obesity Threshold

Measuring Socioeconomic Inequality in Obesity: Looking Beyond the Obesity Threshold

Targeting abdominal obesity in cardiology: Can we be effective?

Glucocorticoid‐related changes in body mass index among children and adolescents with rheumatic diseases

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