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The humanistic and economic burden associated with increasing body mass index in the EU5

Overview of attention for article published in Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, July 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

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21 X users
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1 Google+ user

Citations

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39 Dimensions

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mendeley
60 Mendeley
Title
The humanistic and economic burden associated with increasing body mass index in the EU5
Published in
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, July 2015
DOI 10.2147/dmso.s83696
Pubmed ID
Authors

Shaloo Gupta, Lance Richard, Anna Forsythe

Abstract

This study evaluated the association of body mass index (BMI) with health-related quality of life (HRQoL), health utilities, health care resource utilization, productivity, activity impairment, and the associated costs. Results were from the 2013 EU5 (France, Germany, Italy, Spain, UK) National Health and Wellness Survey, a nationally representative, online survey of respondents aged ≥18 years. Analyses focused on normal weight (BMI ≥18.5 kg/m(2) and BMI <25 kg/m(2)), overweight (BMI ≥25 kg/m(2) and BMI <30 kg/m(2)), Obese Class (OC) I (BMI ≥30 kg/m(2) and BMI <35 kg/m(2)), OC II (BMI ≥35 kg/m(2) and BMI <40 kg/m(2)), and OC III (BMI ≥40 kg/m(2)) respondents. Outcomes included HRQoL (Short Form [SF]-36v2), health utilities (SF-six dimension [6D]), productivity loss (Work Productivity and Activity Impairment questionnaire), and resource utilization (provider visits, emergency room visits, and hospitalizations) in the past 6 months. Direct and indirect costs were estimated from the literature. Generalized linear regression models predicted outcomes as a function of BMI, adjusting for covariates (age, sex, comorbidities). Among 58,364 respondents, 46.9% were normal weight, 34.5% were overweight, 12.5% were OC I, 4.0% were OC II, and 2.1% were OC III. Metabolic comorbidities increased as BMI increased. After adjustments, all three OC respondents exhibited significantly lower HRQoL than normal weight respondents. Health utilities (normal weight: 0.720; overweight: 0.718; OC I: 0.703; OC II: 0.683; OC III: 0.662) declined with an increase in BMI (all P<0.05 vs normal). Among employed respondents (57.7%), overall work impairment increased as BMI increased. Normal (vs all OCs) had lower activity impairment and fewer provider visits, lower indirect costs (normal weight: €7,974; overweight: €7,825; OC I: €8,465; OC II: €9,394; OC III: €10,437), and lower total direct costs (normal weight: €516; overweight: €553; OC I: €583; OC II: €605; OC III: €717), all P<0.05. Increased BMI was associated with worse HRQoL, greater comorbidities, higher direct and indirect costs, and worse health utilities. Weight management may improve patient outcomes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 15%
Researcher 8 13%
Student > Master 6 10%
Other 5 8%
Student > Doctoral Student 3 5%
Other 8 13%
Unknown 21 35%
Readers by discipline Count As %
Medicine and Dentistry 13 22%
Biochemistry, Genetics and Molecular Biology 5 8%
Pharmacology, Toxicology and Pharmaceutical Science 4 7%
Economics, Econometrics and Finance 3 5%
Psychology 2 3%
Other 8 13%
Unknown 25 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 August 2015.
All research outputs
#2,121,730
of 25,457,297 outputs
Outputs from Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
#97
of 1,184 outputs
Outputs of similar age
#26,066
of 277,768 outputs
Outputs of similar age from Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
#2
of 15 outputs
Altmetric has tracked 25,457,297 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,184 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 277,768 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.