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

Journal: Preventive medicine reports

Volume: 28

Issue: 

Year of Publication: 

Affiliated Institutions:  Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia. School of Business, University of Southern Queensland, Australia. Faculty of Business & Law, Queensland University of Technology, Australia. School of Public Health, University of Technology Sydney, Sydney, Australia. School of Public Health, University of Health and Allied Sciences, Ho, Ghana. Department of Population and Health, University of Cape Coast, Cape Coast, Ghana. Department of Public Health, North South University, Dhaka, Bangladesh. Department of Public Health, American International University-Bangladesh (AIUB), Dhaka, Bangladesh. Centre for Health Research, University of Southern Queensland, Australia.

Abstract summary 

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.

Authors & Co-authors:  Keramat Syed Afroz SA Alam Khorshed K Keating Byron B Ahinkorah Bright Opoku BO Gyan Aboagye Richard R Seidu Abdul-Aziz AA Samad Nandeeta N Saha Monidipa M Gow Jeff J Biddle Stuart J H SJH Comans Tracy T

Study Outcome 

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Statistics
Citations :  Adriaanse M.C., Drewes H.W., van der Heide I., Struijs J.N., Baan C.A. The impact of comorbid chronic conditions on quality of life in type 2 diabetes patients. Qual. Life Res. 2016;25(1):175–182. doi: 10.1007/s11136-015-1061-0.
Authors :  11
Identifiers
Doi : 101823
SSN : 2211-3355
Study Population
Male,Female
Mesh Terms
Other Terms
BMI, Body Mass Index;HILDA, Household, Income and Labour Dynamics in Australia Survey;HRQoL, Health-related Quality of Life;Health-related quality of life;MCS;MCS, Mental Component Summary;MLTCs, Multiple Long-term Conditions;Morbid obesity;Multiple long-term conditions;PCS;PCS, Physical Component Summary;SF-36;SF-36, 36-Item Short-Form Health Survey;SF-6D;SF-6D, Short-Form Six-Dimension
Study Design
Longitudinal Study,Cross Sectional Study
Study Approach
Country of Study
Publication Country
United States