Evidence map›Paper›PMID 27097821›Full record

ArticleClinical obesity2016

Are healthcare costs from obesity associated with body mass index, comorbidity or depression? Cohort study using electronic health records.

C Rudisill, J Charlton, H P Booth, M C Gulliford

Open access · hybridAbstract read
In one paragraph

Article in Clinical obesity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
15.1field-weighted citation impact, top 1% of its field
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Characteristics of Type-2 Diabetics Who are Prone to High-Cost Medical Care Expenses by Bayesian Network.International journal of environmental research and public health · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Observational
  17. Costs and Outcomes of Increasing Access to Bariatric Surgery: Cohort Study and Cost-Effectiveness Analysis Using Electronic Health Records.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2017
    Article
  18. Article
  19. 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 at 2 institutions in 1 country.

C RudisillDepartment of Social Policy, London School of Economics and Political Science, London, UK.
J CharltonDepartment of Primary Care and Public Health Sciences, King's College London, London, UK.
H P BoothDepartment of Primary Care and Public Health Sciences, King's College London, London, UK.
M C GullifordDepartment of Primary Care and Public Health Sciences, King's College London, London, UK.
King's College London · GBLondon School of Economics and Political Science · GB

Funding

Department of Health 12/5005/12
6 · The paper itself

Abstract

The objective of this study was to evaluate the association between body mass index (BMI) and healthcare costs in relation to obesity-related comorbidity and depression. A population-based cohort study was undertaken in the UK Clinical Practice Research Datalink (CPRD). A stratified random sample was taken of participants registered with general practices in England in 2008 and 2013. Person time was classified by BMI category and morbidity status using first diagnosis of diabetes (T2DM), coronary heart disease (CHD), stroke or malignant neoplasms. Participants were classified annually as depressed or not depressed. Costs of healthcare utilization were calculated from primary care records with linked hospital episode statistics. A two-part model estimated predicted mean annual costs by age, gender and morbidity status. Linear regression was used to estimate the effects of BMI category, comorbidity and depression on healthcare costs. The analysis included 873 809 person-years (62% female) from 250 046 participants. Annual healthcare costs increased with BMI, to a mean of £456 (95% CI 344-568) higher for BMI ≥40 kg m(-2) than for normal weight based on a general linear model. After adjusting for BMI, the additional cost of comorbidity was £1366 (£1269-£1463) and depression £1044 (£973-£1115). There was evidence of interaction so that as the BMI category increased, additional costs of comorbidity (£199, £74-£325) or depression (£116, £16-£216) were greater. High healthcare costs in obesity may be driven by the presence of comorbidity and depression. Prioritizing primary prevention of cardiovascular disease and diabetes in the obese population may contribute to reducing obesity-related healthcare costs.

Indexed as

Body Mass IndexAdultAgedAged, 80 and overCoronary DiseaseDepressionDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedNeoplasmsObesityStrokeYoung AdultComorbiditydepressionhealthcare costsobesity

Identifiers

PMID27097821
PMCPMC5074251
OpenAlexW2340723250

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.