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The relative impact of underweight, overweight, smoking, and physical inactivity on health and associated costs in Indonesia: propensity score matching of a national sample

BACKGROUND: Indonesia is in the middle of a rapid epidemiological transition with an 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 multi...

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Autores principales: Ihyauddin, Zulfikar, Marthias, Tiara, Anindya, Kanya, Ng, Nawi, Dewi, Fatwa Sari Tetra, Hulse, Emily S. G., Aji, Reza Pandu, Putri, Dwi Astuti Dharma, Lee, John Tayu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482737/
https://www.ncbi.nlm.nih.gov/pubmed/36115979
http://dx.doi.org/10.1186/s12913-022-08546-6
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author Ihyauddin, Zulfikar
Marthias, Tiara
Anindya, Kanya
Ng, Nawi
Dewi, Fatwa Sari Tetra
Hulse, Emily S. G.
Aji, Reza Pandu
Putri, Dwi Astuti Dharma
Lee, John Tayu
author_facet Ihyauddin, Zulfikar
Marthias, Tiara
Anindya, Kanya
Ng, Nawi
Dewi, Fatwa Sari Tetra
Hulse, Emily S. G.
Aji, Reza Pandu
Putri, Dwi Astuti Dharma
Lee, John Tayu
author_sort Ihyauddin, Zulfikar
collection PubMed
description BACKGROUND: Indonesia is in the middle of a rapid epidemiological transition with an 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 an 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 for individuals and the wider society in Indonesia. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-08546-6.
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spelling pubmed-94827372022-09-19 The relative impact of underweight, overweight, smoking, and physical inactivity on health and associated costs in Indonesia: propensity score matching of a national sample Ihyauddin, Zulfikar Marthias, Tiara Anindya, Kanya Ng, Nawi Dewi, Fatwa Sari Tetra Hulse, Emily S. G. Aji, Reza Pandu Putri, Dwi Astuti Dharma Lee, John Tayu BMC Health Serv Res Research BACKGROUND: Indonesia is in the middle of a rapid epidemiological transition with an 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 an 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 for individuals and the wider society in Indonesia. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-08546-6. BioMed Central 2022-09-17 /pmc/articles/PMC9482737/ /pubmed/36115979 http://dx.doi.org/10.1186/s12913-022-08546-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ihyauddin, Zulfikar
Marthias, Tiara
Anindya, Kanya
Ng, Nawi
Dewi, Fatwa Sari Tetra
Hulse, Emily S. G.
Aji, Reza Pandu
Putri, Dwi Astuti Dharma
Lee, John Tayu
The relative impact of underweight, overweight, smoking, and physical inactivity on health and associated costs in Indonesia: propensity score matching of a national sample
title The relative impact of underweight, overweight, smoking, and physical inactivity on health and associated costs in Indonesia: propensity score matching of a national sample
title_full The relative impact of underweight, overweight, smoking, and physical inactivity on health and associated costs in Indonesia: propensity score matching of a national sample
title_fullStr The relative impact of underweight, overweight, smoking, and physical inactivity on health and associated costs in Indonesia: propensity score matching of a national sample
title_full_unstemmed The relative impact of underweight, overweight, smoking, and physical inactivity on health and associated costs in Indonesia: propensity score matching of a national sample
title_short The relative impact of underweight, overweight, smoking, and physical inactivity on health and associated costs in Indonesia: propensity score matching of a national sample
title_sort relative impact of underweight, overweight, smoking, and physical inactivity on health and associated costs in indonesia: propensity score matching of a national sample
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482737/
https://www.ncbi.nlm.nih.gov/pubmed/36115979
http://dx.doi.org/10.1186/s12913-022-08546-6
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