Evidence map›Paper›PMID 36115979›Full record

ArticleBMC health services research2022

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

Zulfikar Ihyauddin, Tiara Marthias, Kanya Anindya, Nawi Ng, Fatwa Sari Tetra Dewi, Emily S G Hulse, Reza Pandu Aji, Dwi Astuti Dharma Putri, John Tayu Lee

Abstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

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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

9 authors.

Zulfikar IhyauddinNossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Level 4, 333 Exhibition St, Melbourne VIC 3004, Australia.
Tiara MarthiasNossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Level 4, 333 Exhibition St, Melbourne VIC 3004, Australia. tiara.marthias@ugm.ac.id.
Kanya AnindyaNossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Level 4, 333 Exhibition St, Melbourne VIC 3004, Australia.
Nawi NgSchool of Public Health and Community Medicine, Institution of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Fatwa Sari Tetra DewiDepartment of Health Behavior, Environment, and Social Medicine, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Emily S G HulseCentre for Health Policy, School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.
Reza Pandu AjiNossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Level 4, 333 Exhibition St, Melbourne VIC 3004, Australia.
Dwi Astuti Dharma PutriCenter for Child Health - Pediatric Research Office, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.
John Tayu LeeNossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Level 4, 333 Exhibition St, Melbourne VIC 3004, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndonesia 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.

methodsSecondary 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.

resultsBeing 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).

conclusionCombined 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.

Indexed as

OverweightThinnessAdultChronic DiseaseCross-Sectional StudiesHumansIndonesiaObesityPropensity ScoreSedentary BehaviorSmokingAlcohol consumptionBMIIndonesiaNon-communicable diseaseTobacco use

Identifiers

PMID36115979
PMCPMC9482737

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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.