Evidence map›Paper›PMID 28601090›Full record

ArticleHealth and quality of life outcomes2017

Physical health-related quality of life in relation to metabolic health and obesity among men and women in Germany.

Julia Truthmann, Gert B M Mensink, Anja Bosy-Westphal, Ulfert Hapke, Christa Scheidt-Nave, Anja Schienkiewitz

Abstract read
In one paragraph

Article in Health and quality of life outcomes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  8. Article
  9. Impact of economic factors, social health and stressful life events on physical health-related quality of life trajectories in older Australians.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Article
  10. Observational
  11. Review
  12. Article
  13. Prevalence, Associated Factors and Psychological Determinants of Obesity among Adults in Selangor, Malaysia.International journal of environmental research and public health · 2021
    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.

Julia TruthmannDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany. TruthmannJ@rki.de.ORCID http://orcid.org/0000-0002-2849-7608
Gert B M MensinkDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
Anja Bosy-WestphalInstitute of Nutritional Medicine, University of Hohenheim, Stuttgart, Germany.
Ulfert HapkeDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
Christa Scheidt-NaveDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
Anja SchienkiewitzDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study examined sex-specific differences in physical health-related quality of life (HRQoL) across subgroups of metabolic health and obesity. We specifically asked whether (1) obesity is related to lower HRQoL independent of metabolic health status and potential confounders, and (2) whether associations are similar in men and women.

methodsWe used cross-sectional data from the German Health Interview and Examination Survey 2008-11. Physical HRQoL was measured using the Short Form-36 version 2 physical component summary (PCS) score. Based on harmonized ATPIII criteria for the definition of the metabolic health and a body mass index ≥ 30 kg/m

resultsThis study included 6860 participants (3298 men, 3562 women). Compared to MHNO, all other metabolic health and obesity categories had significantly lower PCS in both sexes. As reflected by the beta coefficients [95% confidence interval] from bivariable linear regression models, a significant inverse association with PCS was strongest for MUO (men: -7.0 [-8.2; -5.8]; women: -9.0 [-10.2; -7.9]), intermediate for MUNO (men: -4.2 [-5.3; -3.1]; women: -5.6 [-6.8; -4.4]) and least pronounced for MHO (men: -2.2 [-3.6; -0.8]; women -3.9 [-5.4; -2.5]). Differences in relation to MHNO remained statistically significant for all groups after adjusting for confounders, but decreased in particular for MUNO (men:-1.3 [-2.3; -0.3]; women: -1.5 [-2.7; -0.3].

conclusionsObesity was significantly related to lower physical HRQoL, independent of metabolic health status. Potential confounders including age, educational status, health-related behaviors, and comorbidities explained parts of the inverse relationship. Associations were evident in both sexes and consistently more pronounced among women than men.

Indexed as

Health StatusQuality of LifeAdultComorbidityCross-Sectional StudiesFemaleGermanyHumansLife StyleMaleMiddle AgedObesitySex FactorsSurveys and QuestionnairesComorbiditiesGermany, DEGS1LifestyleMetabolically healthy obesityPhysical component summarySexSF-36Socio-economic status

Identifiers

PMID28601090
PMCPMC5466792

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LicenceCC BY
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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.