The relative impact of underweight, overweight, smoking, and physical inactivity on health and associated costs in Indonesia: propensity score matching of a national sample
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Author(s)
Type
Journal Article
Abstract
Background: Indonesia is in the midst of a rapid epidemiological transition with a significant ageing population and increasing exposure to risk factors for chronic conditions. This study examines the relative impacts of obesity, tobacco consumption, and physical inactivity, on non-communicable diseases multimorbidity, health service use, catastrophic health expenditure (CHE), and loss in employment productivity in Indonesia.
Methods: Secondary analyses were conducted of cross-sectional data from adults aged 40 years (n=12,081) in the Indonesian Family Life Survey 2014/2015. We used propensity score matching to assess the associations between behavioural risk factors and health service use, CHE, employment productivity, and multimorbidity.
Results: Being obese, overweight and a former tobacco user was associated with a higher number of chronic conditions and multimorbidity (p<0.05). Being a former tobacco user contributed to a higher number of outpatient and inpatient visits as well as CHE incidences and work absenteeism. Physical inactivity relatively increased the number of outpatient visits (30% increase, p<0.05) and work absenteeism (21% increase, P<0.06). Although being underweight was associated with an increased outpatient care utilisation (23% increase, p<0.05), being overweight was negatively associated with CHE incidences (50% decrease, p<0.05).
Conclusion: Combined together, obesity, overweight, physical inactivity and tobacco use contributed to the increased number of NCDs as well as medical costs and productivity loss in Indonesia. Interventions addressing physical and behavioural risk factors are likely to have substantial benefits to individuals and the wider society in Indonesia.
Methods: Secondary analyses were conducted of cross-sectional data from adults aged 40 years (n=12,081) in the Indonesian Family Life Survey 2014/2015. We used propensity score matching to assess the associations between behavioural risk factors and health service use, CHE, employment productivity, and multimorbidity.
Results: Being obese, overweight and a former tobacco user was associated with a higher number of chronic conditions and multimorbidity (p<0.05). Being a former tobacco user contributed to a higher number of outpatient and inpatient visits as well as CHE incidences and work absenteeism. Physical inactivity relatively increased the number of outpatient visits (30% increase, p<0.05) and work absenteeism (21% increase, P<0.06). Although being underweight was associated with an increased outpatient care utilisation (23% increase, p<0.05), being overweight was negatively associated with CHE incidences (50% decrease, p<0.05).
Conclusion: Combined together, obesity, overweight, physical inactivity and tobacco use contributed to the increased number of NCDs as well as medical costs and productivity loss in Indonesia. Interventions addressing physical and behavioural risk factors are likely to have substantial benefits to individuals and the wider society in Indonesia.
Date Issued
2022-09-17
Date Acceptance
2022-07-21
Citation
BMC Health Services Research, 2022, 22, pp.1-12
ISSN
1472-6963
Publisher
BioMed Central
Start Page
1
End Page
12
Journal / Book Title
BMC Health Services Research
Volume
22
Copyright Statement
© The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which
permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the
original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or
other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line
to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory
regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this
licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativeco
mmons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the
original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or
other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line
to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory
regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this
licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativeco
mmons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
License URL
Identifier
https://link.springer.com/article/10.1186/s12913-022-08546-6
Publication Status
Published
Date Publish Online
2022-09-17