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 and Driejana Driejana
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Dwi Agustian: Department of Public Health, Faculty of Medicine, Universitas Padjadjaran, Jalan Eyckman No. 38, Bandung 40151, Indonesia
Cut Novianti Rachmi: Department of Public Health, Faculty of Medicine, Universitas Padjadjaran, Jalan Eyckman No. 38, Bandung 40151, Indonesia
Noormarina Indraswari: Department of Public Health, Faculty of Medicine, Universitas Padjadjaran, Jalan Eyckman No. 38, Bandung 40151, Indonesia
Anna Molter: Centre 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
Melanie Carder: Centre 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 Rinawan: Department of Public Health, Faculty of Medicine, Universitas Padjadjaran, Jalan Eyckman No. 38, Bandung 40151, Indonesia
Martie van Tongeren: Centre 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 Driejana: Air and Waste Management Research Group, Faculty of Civil and Environmental Engineering, Institut Teknologi Bandung, Jalan Ganesha No. 10, Bandung 40132, Indonesia

IJERPH, 2020, vol. 17, issue 24, 1-18

Abstract: Background: Air 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. Methods: Relevant 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. Results: There 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). Conclusions: IFLS5 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.

Keywords: self-reported; urban air pollution; spatial analysis; air pollution health impact; Jakarta (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
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