Evidence map›Paper›PMID 32586296›Full record

ArticleBMC public health2020

Geographic and socioeconomic disparity in cardiovascular risk factors in Indonesia: analysis of the Basic Health Research 2018.

Wiku Adisasmito, Vilda Amir, Anila Atin, Amila Megraini, Dian Kusuma

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
4.5field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

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  9. Does a sprawling neighborhood affect obesity? Evidence from Indonesia.International journal of health economics and management · 2024
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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

5 authors at 2 institutions in 2 countries.

Wiku AdisasmitoFaculty of Public Health, University of Indonesia, Depok, Indonesia.
Vilda AmirIndonesia One Health University Network (INDOHUN), University of Indonesia, Depok, Indonesia.
Anila AtinIndonesia One Health University Network (INDOHUN), University of Indonesia, Depok, Indonesia.
Amila MegrainiFaculty of Public Health, University of Indonesia, Depok, Indonesia.
Dian KusumaCentre for Health Economics and Policy Innovation, Imperial College Business School, South Kensington Campus, London, SW7 2AZ, UK. d.kusuma@imperial.ac.uk.ORCID http://orcid.org/0000-0002-1909-9341
University of Indonesia · IDImperial College London · GB

Funding

University of Indonesia NA
6 · The paper itself

Abstract

backgroundCardiovascular diseases (CVDs) accounted for over 17 million deaths and 353 million disability-adjusted life years lost in 2016. The risk factors are also high and increasing with high blood pressure, smoking, and high body mass index contributed to up to 212 million disability-adjusted life years in 2016. To help reduce the burden, it is crucial to understand the geographic and socioeconomic disparities in CVD risk factors.

methodsEmploying both geospatial and quantitative analyses, we analyzed the disparities in the prevalence of smoking, physical inactivity, obesity, hypertension, and diabetes in Indonesia. CVD data was from Riskesdas 2018, and socioeconomic data was from the World Bank.

resultsOur findings show a very high prevalence of CVD risk factors with the prevalence of smoking, physical activity, obesity, hypertension ranged from 28 to 33%. Results also show the geographic disparity in CVD risk factors in all five Indonesian regions. Moreover, results show socioeconomic disparity with the prevalence of obesity, hypertension, and diabetes are higher among urban and the richest and most educated districts while that physical inactivity and smoking is higher among rural and the least educated districts.

conclusionThe CVD burden is high and increasing in particularly among urban areas and districts with higher income and education levels. While the government needs to continue tackling the persistent burden from maternal mortality and infectious diseases, they need to put more effort into the prevention and control of CVDs and their risk factors.

Indexed as

Body Mass IndexHealth Status DisparitiesSedentary BehaviorAdultAgedCardiovascular DiseasesDiabetes MellitusExerciseFemaleHumansHypertensionIndonesiaLife StyleMaleMiddle AgedObesityCardiovascular risk factorsDisparityGeographicIndonesiaSocioeconomic

Identifiers

PMID32586296
PMCPMC7318418
OpenAlexW3037125195

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.