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

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 re...
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Autor*in:	Dwi Agustian [verfasserIn] Cut Novianti Rachmi [verfasserIn] Noormarina Indraswari [verfasserIn] Anna Molter [verfasserIn] Melanie Carder [verfasserIn] Fedri Ruluwedrata Rinawan [verfasserIn] Martie van Tongeren [verfasserIn] Driejana Driejana [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	self-reported urban air pollution spatial analysis air pollution health impact Jakarta

Übergeordnetes Werk:	In: International Journal of Environmental Research and Public Health - MDPI AG, 2005, 17(2020), 9508, p 9508
Übergeordnetes Werk:	volume:17 ; year:2020 ; number:9508, p 9508

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.3390/ijerph17249508

Katalog-ID:	DOAJ058713441

Internformat


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allfields	10.3390/ijerph17249508 doi (DE-627)DOAJ058713441 (DE-599)DOAJf6c1ea817a644b11bf98b1ade9061178 DE-627 ger DE-627 rakwb eng Dwi Agustian verfasserin aut Feasibility of Indonesia Family Life Survey Wave 5 (IFLS5) Data for Air Pollution Exposure–Response Study in Indonesia 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. self-reported urban air pollution spatial analysis air pollution health impact Jakarta Medicine R Cut Novianti Rachmi verfasserin aut Noormarina Indraswari verfasserin aut Anna Molter verfasserin aut Melanie Carder verfasserin aut Fedri Ruluwedrata Rinawan verfasserin aut Martie van Tongeren verfasserin aut Driejana Driejana verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 17(2020), 9508, p 9508 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:17 year:2020 number:9508, p 9508 https://doi.org/10.3390/ijerph17249508 kostenfrei https://doaj.org/article/f6c1ea817a644b11bf98b1ade9061178 kostenfrei https://www.mdpi.com/1660-4601/17/24/9508 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2020 9508, p 9508
spelling	10.3390/ijerph17249508 doi (DE-627)DOAJ058713441 (DE-599)DOAJf6c1ea817a644b11bf98b1ade9061178 DE-627 ger DE-627 rakwb eng Dwi Agustian verfasserin aut Feasibility of Indonesia Family Life Survey Wave 5 (IFLS5) Data for Air Pollution Exposure–Response Study in Indonesia 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. self-reported urban air pollution spatial analysis air pollution health impact Jakarta Medicine R Cut Novianti Rachmi verfasserin aut Noormarina Indraswari verfasserin aut Anna Molter verfasserin aut Melanie Carder verfasserin aut Fedri Ruluwedrata Rinawan verfasserin aut Martie van Tongeren verfasserin aut Driejana Driejana verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 17(2020), 9508, p 9508 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:17 year:2020 number:9508, p 9508 https://doi.org/10.3390/ijerph17249508 kostenfrei https://doaj.org/article/f6c1ea817a644b11bf98b1ade9061178 kostenfrei https://www.mdpi.com/1660-4601/17/24/9508 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2020 9508, p 9508
allfields_unstemmed	10.3390/ijerph17249508 doi (DE-627)DOAJ058713441 (DE-599)DOAJf6c1ea817a644b11bf98b1ade9061178 DE-627 ger DE-627 rakwb eng Dwi Agustian verfasserin aut Feasibility of Indonesia Family Life Survey Wave 5 (IFLS5) Data for Air Pollution Exposure–Response Study in Indonesia 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. self-reported urban air pollution spatial analysis air pollution health impact Jakarta Medicine R Cut Novianti Rachmi verfasserin aut Noormarina Indraswari verfasserin aut Anna Molter verfasserin aut Melanie Carder verfasserin aut Fedri Ruluwedrata Rinawan verfasserin aut Martie van Tongeren verfasserin aut Driejana Driejana verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 17(2020), 9508, p 9508 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:17 year:2020 number:9508, p 9508 https://doi.org/10.3390/ijerph17249508 kostenfrei https://doaj.org/article/f6c1ea817a644b11bf98b1ade9061178 kostenfrei https://www.mdpi.com/1660-4601/17/24/9508 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2020 9508, p 9508
allfieldsGer	10.3390/ijerph17249508 doi (DE-627)DOAJ058713441 (DE-599)DOAJf6c1ea817a644b11bf98b1ade9061178 DE-627 ger DE-627 rakwb eng Dwi Agustian verfasserin aut Feasibility of Indonesia Family Life Survey Wave 5 (IFLS5) Data for Air Pollution Exposure–Response Study in Indonesia 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. self-reported urban air pollution spatial analysis air pollution health impact Jakarta Medicine R Cut Novianti Rachmi verfasserin aut Noormarina Indraswari verfasserin aut Anna Molter verfasserin aut Melanie Carder verfasserin aut Fedri Ruluwedrata Rinawan verfasserin aut Martie van Tongeren verfasserin aut Driejana Driejana verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 17(2020), 9508, p 9508 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:17 year:2020 number:9508, p 9508 https://doi.org/10.3390/ijerph17249508 kostenfrei https://doaj.org/article/f6c1ea817a644b11bf98b1ade9061178 kostenfrei https://www.mdpi.com/1660-4601/17/24/9508 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2020 9508, p 9508
allfieldsSound	10.3390/ijerph17249508 doi (DE-627)DOAJ058713441 (DE-599)DOAJf6c1ea817a644b11bf98b1ade9061178 DE-627 ger DE-627 rakwb eng Dwi Agustian verfasserin aut Feasibility of Indonesia Family Life Survey Wave 5 (IFLS5) Data for Air Pollution Exposure–Response Study in Indonesia 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. self-reported urban air pollution spatial analysis air pollution health impact Jakarta Medicine R Cut Novianti Rachmi verfasserin aut Noormarina Indraswari verfasserin aut Anna Molter verfasserin aut Melanie Carder verfasserin aut Fedri Ruluwedrata Rinawan verfasserin aut Martie van Tongeren verfasserin aut Driejana Driejana verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 17(2020), 9508, p 9508 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:17 year:2020 number:9508, p 9508 https://doi.org/10.3390/ijerph17249508 kostenfrei https://doaj.org/article/f6c1ea817a644b11bf98b1ade9061178 kostenfrei https://www.mdpi.com/1660-4601/17/24/9508 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2020 9508, p 9508
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author	Dwi Agustian
spellingShingle	Dwi Agustian misc self-reported misc urban air pollution misc spatial analysis misc air pollution health impact misc Jakarta misc Medicine misc R Feasibility of Indonesia Family Life Survey Wave 5 (IFLS5) Data for Air Pollution Exposure–Response Study in Indonesia
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topic_title	Feasibility of Indonesia Family Life Survey Wave 5 (IFLS5) Data for Air Pollution Exposure–Response Study in Indonesia self-reported urban air pollution spatial analysis air pollution health impact Jakarta
topic	misc self-reported misc urban air pollution misc spatial analysis misc air pollution health impact misc Jakarta misc Medicine misc R
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title	Feasibility of Indonesia Family Life Survey Wave 5 (IFLS5) Data for Air Pollution Exposure–Response Study in Indonesia
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title_full	Feasibility of Indonesia Family Life Survey Wave 5 (IFLS5) Data for Air Pollution Exposure–Response Study in Indonesia
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author_browse	Dwi Agustian Cut Novianti Rachmi Noormarina Indraswari Anna Molter Melanie Carder Fedri Ruluwedrata Rinawan Martie van Tongeren Driejana Driejana
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title_sort	feasibility of indonesia family life survey wave 5 (ifls5) data for air pollution exposure–response study in indonesia
title_auth	Feasibility of Indonesia Family Life Survey Wave 5 (IFLS5) Data for Air Pollution Exposure–Response Study in Indonesia
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.
abstractGer	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.
abstract_unstemmed	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.
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container_issue	9508, p 9508
title_short	Feasibility of Indonesia Family Life Survey Wave 5 (IFLS5) Data for Air Pollution Exposure–Response Study in Indonesia
url	https://doi.org/10.3390/ijerph17249508 https://doaj.org/article/f6c1ea817a644b11bf98b1ade9061178 https://www.mdpi.com/1660-4601/17/24/9508 https://doaj.org/toc/1661-7827 https://doaj.org/toc/1660-4601
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author2	Cut Novianti Rachmi Noormarina Indraswari Anna Molter Melanie Carder Fedri Ruluwedrata Rinawan Martie van Tongeren Driejana Driejana
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up_date	2024-07-03T19:39:36.234Z
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