Evidence map›Paper›PMID 28867791›Full record

ArticleInternational journal of environmental research and public health2017

The Non-Linear Relationship between BMI and Health Care Costs and the Resulting Cost Fraction Attributable to Obesity.

Michael Laxy, Renée Stark, Annette Peters, Hans Hauner, Rolf Holle, Christina M Teuner

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Costs and where to find them: identifying unit costs for health economic evaluations of diabetes in France, Germany and Italy.The European journal of health economics : HEPAC : health economics in prevention and care · 2020
    Review
  8. Article
  9. [Bariatric surgery: Expectations and therapeutic goals-a contradiction?]Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen · 2018
    Review
  10. 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

6 authors.

Michael LaxyHelmholtz Zentrum München, German Research Center for Environmental Health, Institute of Health Economics and Health Care Management, 85764 Neuherberg, Germany. michael.laxy@helmholtz-muenchen.de.
Renée StarkHelmholtz Zentrum München, German Research Center for Environmental Health, Institute of Health Economics and Health Care Management, 85764 Neuherberg, Germany. r.stark@helmholtz-muenchen.de.
Annette PetersGerman Center for Diabetes Research, 85764 Neuherberg, Germany. peters@helmholtz-muenchen.de.
Hans HaunerTechnische Universität München, Klinikum Rechts der Isar, Institute for Nutritional Medicine, 81675 Munich, Germany. hans.hauner@tum.de.
Rolf HolleHelmholtz Zentrum München, German Research Center for Environmental Health, Institute of Health Economics and Health Care Management, 85764 Neuherberg, Germany. holle@helmholtz-muenchen.de.
Christina M TeunerHelmholtz Zentrum München, German Research Center for Environmental Health, Institute of Health Economics and Health Care Management, 85764 Neuherberg, Germany. christina.teuner@helmholtz-muenchen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to analyse the non-linear relationship between Body Mass Index (BMI) and direct health care costs, and to quantify the resulting cost fraction attributable to obesity in Germany. Five cross-sectional surveys of cohort studies in southern Germany were pooled, resulting in data of 6757 individuals (31-96 years old). Self-reported information on health care utilisation was used to estimate direct health care costs for the year 2011. The relationship between measured BMI and annual costs was analysed using generalised additive models, and the cost fraction attributable to obesity was calculated. We found a non-linear association of BMI and health care costs with a continuously increasing slope for increasing BMI without any clear threshold. Under the consideration of the non-linear BMI-cost relationship, a shift in the BMI distribution so that the BMI of each individual is lowered by one point is associated with a 2.1% reduction of mean direct costs in the population. If obesity was eliminated, and the BMI of all obese individuals were lowered to 29.9 kg/m², this would reduce the mean direct costs by 4.0% in the population. Results show a non-linear relationship between BMI and health care costs, with very high costs for a few individuals with high BMI. This indicates that population-based interventions in combination with selective measures for very obese individuals might be the preferred strategy.

Indexed as

Body Mass IndexAdultAgedAged, 80 and overCohort StudiesCross-Sectional StudiesFemaleGermanyHealth ExpendituresHumansMaleMiddle AgedObesityPatient Acceptance of Health Careattributable fractionGermanyhealth care costsobesityoverweight

Identifiers

PMID28867791
PMCPMC5615521

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.