Evidence map›Paper›PMID 35677316›Full record

ArticlePreventive medicine reports2022

Morbid obesity, multiple long-term conditions, and health-related quality of life among Australian adults: Estimates from three waves of a longitudinal household survey.

Syed Afroz Keramat, Khorshed Alam, Byron Keating, Bright Opoku Ahinkorah, Richard Gyan Aboagye, Abdul-Aziz Seidu, Nandeeta Samad, Monidipa Saha, Jeff Gow, Stuart J H Biddle and 1 more

Open access · goldAbstract read
In one paragraph

Article in Preventive medicine reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Estimating the health-related quality of life burden attributable to illicit drug use in Australian adults.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
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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

11 authors at 8 institutions in 4 countries.

Syed Afroz KeramatCentre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
Khorshed AlamSchool of Business, University of Southern Queensland, Australia.
Byron KeatingFaculty of Business & Law, Queensland University of Technology, Australia.
Bright Opoku AhinkorahSchool of Public Health, University of Technology Sydney, Sydney, Australia.
Richard Gyan AboagyeSchool of Public Health, University of Health and Allied Sciences, Ho, Ghana.
Abdul-Aziz SeiduDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.
Nandeeta SamadDepartment of Public Health, North South University, Dhaka, Bangladesh.
Monidipa SahaDepartment of Public Health, American International University-Bangladesh (AIUB), Dhaka, Bangladesh.
Jeff GowSchool of Business, University of Southern Queensland, Australia.
Stuart J H BiddleCentre for Health Research, University of Southern Queensland, Australia.
Tracy ComansCentre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
University of Southern Queensland · AUUniversity of Queensland · AUAmerican International University-Bangladesh · BDNorth South University · BDQueensland University of Technology · AUUniversity of Cape Coast · GHUniversity of Health and Allied Sciences · GHUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to investigate the impact of morbid obesity and multiple long-term conditions (MLTCs) on health-related quality of life (HRQoL). Data for this study were sourced from three waves (waves 9, 13 and 17) of the Household, Income and Labour Dynamics in Australia (HILDA) survey. The paper analyses 37,887 person-year observations from 19,387 individuals during the period 2009-2017. The longitudinal random-effects Tobit model was fitted to examine the association between morbid obesity, MLTCs and HRQoL. This study found that morbid obesity and MLTCs were both negatively associated with HRQoL as measured through physical component summary (PCS), mental component summary (MCS), and the short-form six-dimension utility index (SF-6D) of the 36-item Short-Form Health Survey (SF-36). Morbidly obese scored lower points on the PCS (β = -5.05, 95% CI: -5.73, -4.37), MCS (β = -1.03, 95% CI: -1.84, -0.23), and in the SF-6D utility index (β = -0.045, 95% CI: -0.054, -0.036) compared to their healthy weight counterparts. Similar findings were observed for individuals with MLTCs, with lower scores for the PCS (β = -4.79, 95% CI: -5.20, -4.38), MCS (β = -4.95, 95% CI: -5.43, -4.48), and SF-6D utility (β = -0.071, 95% CI: -0.076, -0.066). Additionally, multiplicative interaction between morbid obesity and MLTCs was observed to modestly exacerbated the negative effect of morbid obesity on PCS scores (β = -1.69, 95% CI: -2.74, -0.64). The interaction effect, on the other hand, significantly lessen the unfavourable effect of morbid obesity on the MCS score (β = 1.34, 95% CI: 0.10, 2.58). The findings of this study will be useful for future cost-effectiveness analyses and measuring the burden of diseases since it provides information on the disutility associated with morbid obesity and MLTCs.

Indexed as

BMI, Body Mass IndexHealth-related quality of lifeHILDA, Household, Income and Labour Dynamics in Australia SurveyHRQoL, Health-related Quality of LifeMCSMCS, Mental Component SummaryMLTCs, Multiple Long-term ConditionsMorbid obesityMultiple long-term conditionsPCSPCS, Physical Component SummarySF-36SF-36, 36-Item Short-Form Health SurveySF-6DSF-6D, Short-Form Six-Dimension

Identifiers

PMID35677316
PMCPMC9167973
OpenAlexW4280540233

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.