Evidence map›Paper›PMID 31615572›Full record

ArticleBMC health services research2019

Body mass index and lifetime healthcare utilization.

Christina Hansen Edwards, Eline Aas, Jonas Minet Kinge

Abstract read
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  15. Effectiveness and Safety of Rivaroxaban versus Warfarin Among Nonvalvular Atrial Fibrillation Patients with Obesity and Polypharmacy.American journal of cardiovascular drugs : drugs, devices, and other interventions · 2022
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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

3 authors.

Christina Hansen EdwardsCentre for Fertility and Health, Norwegian Institute of Public Health, Folkehelseinstituttet, Postboks 222 Skøyen, 0213, Oslo, Norway. christina.hansen.edwards@fhi.no.ORCID http://orcid.org/0000-0003-2329-1739
Eline AasDepartment of Health Management and Health Economics, Institute of Health and Society, University of Oslo, Postboks 1089, Blindern, 0317, Oslo, Norway.
Jonas Minet KingeDepartment of Health Management and Health Economics, Institute of Health and Society, University of Oslo, Postboks 1089, Blindern, 0317, Oslo, Norway.ORCID http://orcid.org/0000-0002-2789-6113

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOverweight and obesity is a major global public health challenge, and understanding the implications for healthcare systems is essential for policy planning. Past studies have typically found positive associations between obesity and healthcare utilization, but these studies have not taken into consideration that obesity is also associated with early mortality. We examined associations between body mass index (BMI, reported as kg/m

methodsWe used nationally representative data on 33 882 adults collected between 2002 and 2015. We computed BMI- and age-specific primary and secondary care utilization and multiplied the estimated values with gender-, age-, and BMI-specific probabilities of surviving to each age. Then, we summed the average BMI-specific utilization between 18 and 85 years.

resultsDuring a survival-adjusted lifetime, males with normal weight (BMI: 18.5-24.9) had, on average, 167 primary care, and 77 secondary care contacts. In comparison, males with overweight (BMI: 25.0-29.9), category I obesity (BMI: 30.0-34.9), and category II/III obesity (BMI ≥35.0) had 11%, 41%, and 102% more primary care, and 14%, 29%, and 78% more secondary care contacts, respectively. Females with normal weight had, on average, 210 primary care contacts and 91 secondary care contacts. Females with overweight, category I obesity, and category II/III obesity had 20%, 34%, and 81% more primary care contacts, and 26%, 16%, and 16% more secondary care contacts, respectively.

conclusionThe positive association between BMI and healthcare utilization was reduced, but not offset, when BMI-specific survival was taken into consideration. Our findings underpin previous research and suggest that interventions to offset the increasing prevalence of overweight, and especially obesity, are warranted.

Indexed as

Body Mass IndexAdolescentAdultAgedAged, 80 and overAge DistributionDelivery of Health CareFemaleHumansMaleMiddle AgedNorwayObesityOverweightPatient Acceptance of Health CarePrevalenceBody mass indexHealth servicesMortalityObesityPublic Policy

Identifiers

PMID31615572
PMCPMC6794833

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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.