Evidence map›Paper›PMID 36068519›Full record

ArticleBMC public health2022

Health care costs and lost productivity costs related to excess weight in Belgium.

Vanessa Gorasso, Isabelle Moyersoen, Johan Van der Heyden, Karin De Ridder, Stefanie Vandevijvere, Stijn Vansteelandt, Delphine De Smedt, Brecht Devleesschauwer

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
10.8field-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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Obesity, Employment, and Economic Productivity in Europe: A Systematic Literature Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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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

8 authors at 3 institutions in 2 countries.

Vanessa Gorasso *Department of Epidemiology and Public Health, Sciensano, Rue J Wytsman 14, 1050, Brussels, Belgium. vanessa.gorasso@sciensano.be.
Isabelle Moyersoen *Department of Epidemiology and Public Health, Sciensano, Rue J Wytsman 14, 1050, Brussels, Belgium.
Johan Van der HeydenDepartment of Epidemiology and Public Health, Sciensano, Rue J Wytsman 14, 1050, Brussels, Belgium.
Karin De RidderDepartment of Epidemiology and Public Health, Sciensano, Rue J Wytsman 14, 1050, Brussels, Belgium.
Stefanie VandevijvereDepartment of Epidemiology and Public Health, Sciensano, Rue J Wytsman 14, 1050, Brussels, Belgium.
Stijn VansteelandtDepartment of Applied Mathematics and Statistics, Ghent University, Ghent, Belgium.
Delphine De SmedtDepartment of Public Health and Primary Care, Ghent University, Ghent, Belgium.
Brecht DevleesschauwerDepartment of Epidemiology and Public Health, Sciensano, Rue J Wytsman 14, 1050, Brussels, Belgium.
Sciensano (Belgium) · BEGhent University · BELondon School of Hygiene & Tropical Medicine · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to estimate annual health care and lost productivity costs associated with excess weight among the adult population in Belgium, using national health data.

methodsHealth care costs and costs of absenteeism were estimated using data from the Belgian national health interview survey (BHIS) 2013 linked with individual health insurance data (2013-2017). Average yearly health care costs and costs of absenteeism were assessed by body mass index (BMI) categories - i.e., underweight (BMI < 18.5 kg/m

resultsAccording to BHIS 2013, 34.7% and 13.9% of the Belgian adult population were respectively affected by overweight or obesity. They were mostly concentrated in the age-group 35-65 years and had significantly more chronic conditions compared to the normal weight population. Average total healthcare expenses for people with overweight and obesity were significantly higher than those observed in the normal weight population. The adjusted incremental annual health care cost of excess weight in Belgium was estimated at €3,329,206,657 (€651 [95% CI: €144-€1,084] and €1,015 [95% CI: €343-€1,697] per capita for individuals with overweight and obesity respectively). The comorbidities identified to be the main drivers for these incremental health care costs were hypertension, high cholesterol, serious gloom and depression. Mean annual incremental cost of absenteeism for overweight accounted for €242 per capita but was not statistically significant, people with obesity showed a significantly higher cost (p < 0.001) compared to the normal weight population: €2,015 [95% CI: €179-€4,336] per capita. The annual total incremental costs due to absenteeism of the population affected by overweight and obesity was estimated at €1,209,552,137. Arthritis, including rheumatoid arthritis and osteoarthritis, was the most important driver of the incremental cost of absenteeism in individuals with overweight and obesity, followed by hypertension and low back pain.

conclusionsThe mean annual incremental cost of excess weight in Belgium is of concern and stresses the need for policy actions aiming to reduce excess body weight. This study can be used as a baseline to evaluate the potential savings and health benefits of obesity prevention interventions.

Indexed as

HypertensionOverweightAdultAgedBelgiumBody Mass IndexChronic DiseaseHealth Care CostsHumansMiddle AgedObesityWeight GainAbsenteeism costsExcess weightHealthcare costsObesityOverweight

Identifiers

PMID36068519
PMCPMC9450378
OpenAlexW4294916334

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.