Does a sprawling neighborhood affect obesity? Evidence from Indonesia
While the causes of obesity have been widely discussed from various perspectives, studies that examine how the physical form of a neighborhood could causally affect obesity remain limited. This study combined individual-level longitudinal data from the Indonesian Family Life Survey and subdistrict-l...
Gespeichert in:
Veröffentlicht in: | International journal of health care finance and economics 2024-06, Vol.24 (2), p.231-256 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 256 |
---|---|
container_issue | 2 |
container_start_page | 231 |
container_title | International journal of health care finance and economics |
container_volume | 24 |
creator | Yunita Yudhistira, Muhammad Halley Kurniawan, Yusuf Reza |
description | While the causes of obesity have been widely discussed from various perspectives, studies that examine how the physical form of a neighborhood could causally affect obesity remain limited. This study combined individual-level longitudinal data from the Indonesian Family Life Survey and subdistrict-level land cover data to investigate whether a neighborhood’s physical form affects individuals’ obesity status. We controlled for individual and location fixed-effect to account for individuals’ sorting preferences and unobserved heterogeneity at the subdistrict level. Our results suggest that a sprawling neighborhood corresponds to a lower body mass index, particularly among males. We also show that consumption behavior can explain this mechanism. |
doi_str_mv | 10.1007/s10754-024-09371-6 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3022575445</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3022575445</sourcerecordid><originalsourceid>FETCH-LOGICAL-c416t-15b5c3b68ff58b298c0f60687ea8487953a2ec5a84144ece47b5623c4871d0cb3</originalsourceid><addsrcrecordid>eNp9kc1KAzEURoMottS-gAsJuHEzmt-ZZCVSqxYKbnQdMpk77ZR2UpNW6dsbnWrBhYuQhHvul8sJQueUXFNCiptISSFFRlhamhc0y49Qn1GtM004Pf49M95DwxgXhBCac8GoOkU9rqQUjNE-Gt97iNjiuA72Y9m0M9xCM5uXPsy9r7Cta3Ab7EuIzWZ3i8fvTQWtA1wHv8KTtvJtqtgzdFLbZYThfh-g14fxy-gpmz4_TkZ308wJmm8yKkvpeJmrupaqZFo5UuckVwVYJVShJbcMnEwXKgQ4EEUpc8ZdqtGKuJIP0FWXuw7-bQtxY1ZNdLBc2hb8NhpOGJNJi5AJvfyDLvw2tGm6RCWGayZUolhHueBjDFCbdWhWNuwMJebLs-k8m-TZfHs2eWq62EdvyxVUvy0_VhOAOwCcb5t4yFSasoLo9EMDxDskiU_WIRzG--flT7_CkJA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3057539248</pqid></control><display><type>article</type><title>Does a sprawling neighborhood affect obesity? Evidence from Indonesia</title><source>MEDLINE</source><source>SpringerLink (Online service)</source><creator>Yunita ; Yudhistira, Muhammad Halley ; Kurniawan, Yusuf Reza</creator><creatorcontrib>Yunita ; Yudhistira, Muhammad Halley ; Kurniawan, Yusuf Reza</creatorcontrib><description>While the causes of obesity have been widely discussed from various perspectives, studies that examine how the physical form of a neighborhood could causally affect obesity remain limited. This study combined individual-level longitudinal data from the Indonesian Family Life Survey and subdistrict-level land cover data to investigate whether a neighborhood’s physical form affects individuals’ obesity status. We controlled for individual and location fixed-effect to account for individuals’ sorting preferences and unobserved heterogeneity at the subdistrict level. Our results suggest that a sprawling neighborhood corresponds to a lower body mass index, particularly among males. We also show that consumption behavior can explain this mechanism.</description><identifier>ISSN: 2199-9023</identifier><identifier>ISSN: 2199-9031</identifier><identifier>EISSN: 2199-9031</identifier><identifier>DOI: 10.1007/s10754-024-09371-6</identifier><identifier>PMID: 38554221</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adolescent ; Adult ; Body Mass Index ; Body size ; Causality ; Economic Policy ; Female ; Health Administration ; Health Care Management ; Health Economics ; Heterogeneity ; Humans ; Indonesia ; Land cover ; Longitudinal Studies ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Obesity ; Public Finance ; Public Health ; Research Article ; Residence Characteristics ; Urban planning ; Young Adult</subject><ispartof>International journal of health care finance and economics, 2024-06, Vol.24 (2), p.231-256</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c416t-15b5c3b68ff58b298c0f60687ea8487953a2ec5a84144ece47b5623c4871d0cb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10754-024-09371-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10754-024-09371-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38554221$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yunita</creatorcontrib><creatorcontrib>Yudhistira, Muhammad Halley</creatorcontrib><creatorcontrib>Kurniawan, Yusuf Reza</creatorcontrib><title>Does a sprawling neighborhood affect obesity? Evidence from Indonesia</title><title>International journal of health care finance and economics</title><addtitle>Int J Health Econ Manag</addtitle><addtitle>Int J Health Econ Manag</addtitle><description>While the causes of obesity have been widely discussed from various perspectives, studies that examine how the physical form of a neighborhood could causally affect obesity remain limited. This study combined individual-level longitudinal data from the Indonesian Family Life Survey and subdistrict-level land cover data to investigate whether a neighborhood’s physical form affects individuals’ obesity status. We controlled for individual and location fixed-effect to account for individuals’ sorting preferences and unobserved heterogeneity at the subdistrict level. Our results suggest that a sprawling neighborhood corresponds to a lower body mass index, particularly among males. We also show that consumption behavior can explain this mechanism.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Body Mass Index</subject><subject>Body size</subject><subject>Causality</subject><subject>Economic Policy</subject><subject>Female</subject><subject>Health Administration</subject><subject>Health Care Management</subject><subject>Health Economics</subject><subject>Heterogeneity</subject><subject>Humans</subject><subject>Indonesia</subject><subject>Land cover</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Obesity</subject><subject>Public Finance</subject><subject>Public Health</subject><subject>Research Article</subject><subject>Residence Characteristics</subject><subject>Urban planning</subject><subject>Young Adult</subject><issn>2199-9023</issn><issn>2199-9031</issn><issn>2199-9031</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc1KAzEURoMottS-gAsJuHEzmt-ZZCVSqxYKbnQdMpk77ZR2UpNW6dsbnWrBhYuQhHvul8sJQueUXFNCiptISSFFRlhamhc0y49Qn1GtM004Pf49M95DwxgXhBCac8GoOkU9rqQUjNE-Gt97iNjiuA72Y9m0M9xCM5uXPsy9r7Cta3Ab7EuIzWZ3i8fvTQWtA1wHv8KTtvJtqtgzdFLbZYThfh-g14fxy-gpmz4_TkZ308wJmm8yKkvpeJmrupaqZFo5UuckVwVYJVShJbcMnEwXKgQ4EEUpc8ZdqtGKuJIP0FWXuw7-bQtxY1ZNdLBc2hb8NhpOGJNJi5AJvfyDLvw2tGm6RCWGayZUolhHueBjDFCbdWhWNuwMJebLs-k8m-TZfHs2eWq62EdvyxVUvy0_VhOAOwCcb5t4yFSasoLo9EMDxDskiU_WIRzG--flT7_CkJA</recordid><startdate>20240601</startdate><enddate>20240601</enddate><creator>Yunita</creator><creator>Yudhistira, Muhammad Halley</creator><creator>Kurniawan, Yusuf Reza</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>OQ6</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>7X8</scope></search><sort><creationdate>20240601</creationdate><title>Does a sprawling neighborhood affect obesity? Evidence from Indonesia</title><author>Yunita ; Yudhistira, Muhammad Halley ; Kurniawan, Yusuf Reza</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c416t-15b5c3b68ff58b298c0f60687ea8487953a2ec5a84144ece47b5623c4871d0cb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Body Mass Index</topic><topic>Body size</topic><topic>Causality</topic><topic>Economic Policy</topic><topic>Female</topic><topic>Health Administration</topic><topic>Health Care Management</topic><topic>Health Economics</topic><topic>Heterogeneity</topic><topic>Humans</topic><topic>Indonesia</topic><topic>Land cover</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Obesity</topic><topic>Public Finance</topic><topic>Public Health</topic><topic>Research Article</topic><topic>Residence Characteristics</topic><topic>Urban planning</topic><topic>Young Adult</topic><toplevel>online_resources</toplevel><creatorcontrib>Yunita</creatorcontrib><creatorcontrib>Yudhistira, Muhammad Halley</creatorcontrib><creatorcontrib>Kurniawan, Yusuf Reza</creatorcontrib><collection>ECONIS</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>International journal of health care finance and economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yunita</au><au>Yudhistira, Muhammad Halley</au><au>Kurniawan, Yusuf Reza</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Does a sprawling neighborhood affect obesity? Evidence from Indonesia</atitle><jtitle>International journal of health care finance and economics</jtitle><stitle>Int J Health Econ Manag</stitle><addtitle>Int J Health Econ Manag</addtitle><date>2024-06-01</date><risdate>2024</risdate><volume>24</volume><issue>2</issue><spage>231</spage><epage>256</epage><pages>231-256</pages><issn>2199-9023</issn><issn>2199-9031</issn><eissn>2199-9031</eissn><abstract>While the causes of obesity have been widely discussed from various perspectives, studies that examine how the physical form of a neighborhood could causally affect obesity remain limited. This study combined individual-level longitudinal data from the Indonesian Family Life Survey and subdistrict-level land cover data to investigate whether a neighborhood’s physical form affects individuals’ obesity status. We controlled for individual and location fixed-effect to account for individuals’ sorting preferences and unobserved heterogeneity at the subdistrict level. Our results suggest that a sprawling neighborhood corresponds to a lower body mass index, particularly among males. We also show that consumption behavior can explain this mechanism.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>38554221</pmid><doi>10.1007/s10754-024-09371-6</doi><tpages>26</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2199-9023 |
ispartof | International journal of health care finance and economics, 2024-06, Vol.24 (2), p.231-256 |
issn | 2199-9023 2199-9031 2199-9031 |
language | eng |
recordid | cdi_proquest_miscellaneous_3022575445 |
source | MEDLINE; SpringerLink (Online service) |
subjects | Adolescent Adult Body Mass Index Body size Causality Economic Policy Female Health Administration Health Care Management Health Economics Heterogeneity Humans Indonesia Land cover Longitudinal Studies Male Medicine Medicine & Public Health Middle Aged Obesity Public Finance Public Health Research Article Residence Characteristics Urban planning Young Adult |
title | Does a sprawling neighborhood affect obesity? Evidence from Indonesia |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T08%3A24%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Does%20a%20sprawling%20neighborhood%20affect%20obesity?%20Evidence%20from%20Indonesia&rft.jtitle=International%20journal%20of%20health%20care%20finance%20and%20economics&rft.au=Yunita&rft.date=2024-06-01&rft.volume=24&rft.issue=2&rft.spage=231&rft.epage=256&rft.pages=231-256&rft.issn=2199-9023&rft.eissn=2199-9031&rft_id=info:doi/10.1007/s10754-024-09371-6&rft_dat=%3Cproquest_cross%3E3022575445%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3057539248&rft_id=info:pmid/38554221&rfr_iscdi=true |