Evidence map›Paper›PMID 33353139›Full record

ArticleInternational journal of environmental research and public health2020

Feasibility of Indonesia Family Life Survey Wave 5 (IFLS5) Data for Air Pollution Exposure-Response Study in Indonesia.

Dwi Agustian, Cut Novianti Rachmi, Noormarina Indraswari, Anna Molter, Melanie Carder, Fedri Ruluwedrata Rinawan, Martie van Tongeren, Driejana Driejana

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In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

8 authors.

Dwi AgustianDepartment of Public Health, Faculty of Medicine, Universitas Padjadjaran, Jalan Eyckman No. 38, Bandung 40151, Indonesia.ORCID 0000-0002-6122-0758
Cut Novianti RachmiDepartment of Public Health, Faculty of Medicine, Universitas Padjadjaran, Jalan Eyckman No. 38, Bandung 40151, Indonesia.ORCID 0000-0002-6694-2071
Noormarina IndraswariDepartment of Public Health, Faculty of Medicine, Universitas Padjadjaran, Jalan Eyckman No. 38, Bandung 40151, Indonesia.
Anna MolterCentre for Occupational and Environmental Health, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Road, Manchester M13 9PL, UK.ORCID 0000-0002-0824-4478
Melanie CarderCentre for Occupational and Environmental Health, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Road, Manchester M13 9PL, UK.
Fedri Ruluwedrata RinawanDepartment of Public Health, Faculty of Medicine, Universitas Padjadjaran, Jalan Eyckman No. 38, Bandung 40151, Indonesia.
Martie van TongerenCentre for Epidemiology, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Road, Manchester M13 9PL, UK.
Driejana DriejanaAir and Waste Management Research Group, Faculty of Civil and Environmental Engineering, Institut Teknologi Bandung, Jalan Ganesha No. 10, Bandung 40132, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAir pollution is an important risk factor for the disease burden; however there is limited evidence in Indonesia on the effect of air pollution on health, due to lack of exposure and health outcome data. The objective of this study is to evaluate the potential use of the IFLS data for response part of urban-scale air pollution exposure-health response studies.

methodsRelevant variables were extracted based on IFLS5 documentation review. Analysis of the spatial distribution of respondent, data completeness, prevalence of relevant health outcomes, and consistency or agreement evaluation between similar variables were performed. Power for ideal sample size was estimated.

resultsThere were 58,304 respondents across 23 provinces, with the highest density in Jakarta (750/district). Among chronic conditions, hypertension had the highest prevalence (15-25%) with data completeness of 79-83%. Consistency among self-reported health outcome variables was 90-99%, while that with objective measurements was 42-70%. The estimated statistical power for studying air pollution effect on hypertension (prevalence = 17%) in Jakarta was approximately 0.6 (α = 0.1).

conclusionsIFLS5 data has potential use for epidemiological study of air pollution and health outcomes such as hypertension, to be coupled with high quality urban-scale air pollution exposure estimates, particularly in Jakarta.

Indexed as

Air PollutantsAdolescentAdultAir PollutionChildEnvironmental ExposureFamily CharacteristicsFeasibility StudiesFemaleHumansIndonesiaRisk FactorsAir Pollutantsair pollution health impactJakartaself-reportedspatial analysisurban air pollution

Identifiers

PMID33353139
PMCPMC7766249

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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.