Evidence map›Paper›PMID 29240910›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2017

Genetic Predisposition to Obesity and Medicare Expenditures.

George L Wehby, Benjamin W Domingue, Fred Ullrich, Fredric D Wolinsky

Abstract readMulticenter Study
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Genetic variation in health insurance coverage.International journal of health economics and management · 2019
    Article
  4. Genetic Risks for Chronic Conditions: Implications for Long-term Wellbeing.The journals of gerontology. Series A, Biological sciences and medical sciences · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

George L WehbyDepartment of Health Management and Policy, University of Iowa, Iowa City.
Benjamin W DomingueGraduate School of Education, Stanford University, California.
Fred UllrichDepartment of Health Management and Policy, University of Iowa, Iowa City.
Fredric D WolinskyDepartment of Health Management and Policy, University of Iowa, Iowa City.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe relationship between obesity and health expenditures is not well understood. We examined the relationship between genetic predisposition to obesity measured by a polygenic risk score for body mass index (BMI) and Medicare expenditures.

methodsBiennial interview data from the Health and Retirement Survey for a nationally representative sample of older adults enrolled in fee-for-service Medicare were obtained from 1991 through 2010 and linked to Medicare claims for the same period and to Genome-Wide Association Study (GWAS) data. The study included 6,628 Medicare beneficiaries who provided 68,627 complete person-year observations during the study period. Outcomes were total and service-specific Medicare expenditures and indicators for expenditures exceeding the 75th and 90th percentiles. The BMI polygenic risk score was derived from GWAS data. Regression models were used to examine how the BMI polygenic risk score was related to health expenditures adjusting for demographic factors and GWAS-derived ancestry.

resultsGreater genetic predisposition to obesity was associated with higher Medicare expenditures. Specifically, a 1 SD increase in the BMI polygenic risk score was associated with a $805 (p < .001) increase in annual Medicare expenditures per person in 2010 dollars (~15% increase), a $370 (p < .001) increase in inpatient expenses, and a $246 (p < .001) increase in outpatient services. A 1 SD increase in the polygenic risk score was also related to increased likelihood of expenditures exceeding the 75th percentile by 18% (95% CI: 10%-28%) and the 90th percentile by 27% (95% CI: 15%-40%).

conclusionGreater genetic predisposition to obesity is associated with higher Medicare expenditures.

Indexed as

Body Mass IndexGenetic Predisposition to DiseaseAgedAmbulatory CareFemaleFollow-Up StudiesGenome-Wide Association StudyHealth Care CostsHealth ExpendituresHumansMaleMedicareMiddle AgedMultifactorial InheritanceObesityPrevalenceBMIHealthcare costsPolygenic risk score

Identifiers

PMID29240910
PMCPMC5861952

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.