Differential associations of the built environment on weight gain by sex and race/ethnicity but not age
Objective To explore the built environment (BE) and weight change relationship by age, sex, and racial/ethnic subgroups in adults. Methods Weight trajectories were estimated using electronic health records for 115,260 insured Kaiser Permanente Washington members age 18–64 years. Member home addresse...
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| Veröffentlicht in: | International Journal of Obesity 2021-12, Vol.45 (12), p.2648-2656 |
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| creator | Buszkiewicz, James H. Bobb, Jennifer F. Kapos, Flavia Hurvitz, Philip M. Arterburn, David Moudon, Anne Vernez Cook, Andrea Mooney, Stephen J. Cruz, Maricela Gupta, Shilpi Lozano, Paula Rosenberg, Dori E. Theis, Mary Kay Anau, Jane Drewnowski, Adam |
| description | Objective
To explore the built environment (BE) and weight change relationship by age, sex, and racial/ethnic subgroups in adults.
Methods
Weight trajectories were estimated using electronic health records for 115,260 insured Kaiser Permanente Washington members age 18–64 years. Member home addresses were geocoded using ArcGIS. Population, residential, and road intersection densities and counts of area supermarkets and fast food restaurants were measured with SmartMaps (800 and 5000-meter buffers) and categorized into tertiles. Linear mixed-effect models tested whether associations between BE features and weight gain at 1, 3, and 5 years differed by age, sex, and race/ethnicity, adjusting for demographics, baseline weight, and residential property values.
Results
Denser urban form and greater availability of supermarkets and fast food restaurants were associated with differential weight change across sex and race/ethnicity. At 5 years, the mean difference in weight change comparing the 3rd versus 1st tertile of residential density was significantly different between males (−0.49 kg, 95% CI: −0.68, −0.30) and females (−0.17 kg, 95% CI: −0.33, −0.01) (
P
-value for interaction = 0.011). Across race/ethnicity, the mean difference in weight change at 5 years for residential density was significantly different among non-Hispanic (NH) Whites (−0.47 kg, 95% CI: −0.61, −0.32), NH Blacks (−0.86 kg, 95% CI: −1.37, −0.36), Hispanics (0.10 kg, 95% CI: −0.46, 0.65), and NH Asians (0.44 kg, 95% CI: 0.10, 0.78) (
P
-value for interaction |
| doi_str_mv | 10.1038/s41366-021-00937-9 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_proquest_journals_2600109849</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A683396994</galeid><sourcerecordid>A683396994</sourcerecordid><originalsourceid>FETCH-LOGICAL-c572t-8b60fd00e876933ece2258a334046b99de31b2953fce4a86530f57ae937e1fc73</originalsourceid><addsrcrecordid>eNp9kl1rFDEUhoMotq7-AS8kIIg3056ZfMzkRij1Ewre6HXIZM_MpMwmNclU99-b7da2KyK5COQ8503Om5eQlzWc1MC608RrJmUFTV0BKNZW6hE5rnkrK8FV-5gcA4O2AiHFEXmW0iUACAHNU3LEOBcMVHdMxvduGDCiz87M1KQUrDPZBZ9oGGiekPaLmzNFf-1i8JsC0uDpT3TjlOlonKf9lib8RY1f02gsnmKevLMub0trpj5kakZ8Tp4MZk744nZfke8fP3w7_1xdfP305fzsorKibXLV9RKGNQB2rVSMocWmEZ1hjAOXvVJrZHXfKMEGi9x0skwxiNZgmR7rwbZsRd7tda-WfoNrW94bzayvotuYuNXBOH1Y8W7SY7jWnYROFuEVeXsrEMOPBVPWG5cszrPxGJakGyElcCj-F_T1X-hlWKIv4-lGAtTFYK7uqdHMqJ0fQrnX7kT1mewYU1IpXqiTf1BlrXHjbPA4uHJ-0PDmQcOEZs5TCvNy83eHYLMHbQwpRRzuzKhB73Kk9znSJUf6Jkd69-hXD228a_kTnAKwPZBKyY8Y72f_j-xv4qrSGA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2600109849</pqid></control><display><type>article</type><title>Differential associations of the built environment on weight gain by sex and race/ethnicity but not age</title><source>MEDLINE</source><source>Nature</source><source>SpringerLink Journals - AutoHoldings</source><creator>Buszkiewicz, James H. ; Bobb, Jennifer F. ; Kapos, Flavia ; Hurvitz, Philip M. ; Arterburn, David ; Moudon, Anne Vernez ; Cook, Andrea ; Mooney, Stephen J. ; Cruz, Maricela ; Gupta, Shilpi ; Lozano, Paula ; Rosenberg, Dori E. ; Theis, Mary Kay ; Anau, Jane ; Drewnowski, Adam</creator><creatorcontrib>Buszkiewicz, James H. ; Bobb, Jennifer F. ; Kapos, Flavia ; Hurvitz, Philip M. ; Arterburn, David ; Moudon, Anne Vernez ; Cook, Andrea ; Mooney, Stephen J. ; Cruz, Maricela ; Gupta, Shilpi ; Lozano, Paula ; Rosenberg, Dori E. ; Theis, Mary Kay ; Anau, Jane ; Drewnowski, Adam</creatorcontrib><description>Objective
To explore the built environment (BE) and weight change relationship by age, sex, and racial/ethnic subgroups in adults.
Methods
Weight trajectories were estimated using electronic health records for 115,260 insured Kaiser Permanente Washington members age 18–64 years. Member home addresses were geocoded using ArcGIS. Population, residential, and road intersection densities and counts of area supermarkets and fast food restaurants were measured with SmartMaps (800 and 5000-meter buffers) and categorized into tertiles. Linear mixed-effect models tested whether associations between BE features and weight gain at 1, 3, and 5 years differed by age, sex, and race/ethnicity, adjusting for demographics, baseline weight, and residential property values.
Results
Denser urban form and greater availability of supermarkets and fast food restaurants were associated with differential weight change across sex and race/ethnicity. At 5 years, the mean difference in weight change comparing the 3rd versus 1st tertile of residential density was significantly different between males (−0.49 kg, 95% CI: −0.68, −0.30) and females (−0.17 kg, 95% CI: −0.33, −0.01) (
P
-value for interaction = 0.011). Across race/ethnicity, the mean difference in weight change at 5 years for residential density was significantly different among non-Hispanic (NH) Whites (−0.47 kg, 95% CI: −0.61, −0.32), NH Blacks (−0.86 kg, 95% CI: −1.37, −0.36), Hispanics (0.10 kg, 95% CI: −0.46, 0.65), and NH Asians (0.44 kg, 95% CI: 0.10, 0.78) (
P
-value for interaction <0.001). These findings were consistent for other BE measures.
Conclusion
The relationship between the built environment and weight change differs across demographic groups. Careful consideration of demographic differences in associations of BE and weight trajectories is warranted for investigating etiological mechanisms and guiding intervention development.</description><identifier>ISSN: 0307-0565</identifier><identifier>EISSN: 1476-5497</identifier><identifier>DOI: 10.1038/s41366-021-00937-9</identifier><identifier>PMID: 34453098</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/308/174 ; 692/499 ; 692/699/2743/393 ; Adolescent ; Adult ; Age ; Body weight gain ; Built environment ; Built Environment - standards ; Built Environment - statistics & numerical data ; Cohort Studies ; Demographic aspects ; Demographics ; Demography ; Electronic health records ; Electronic medical records ; Environmental aspects ; Epidemiology ; Ethnicity ; Etiology ; Fast food ; Female ; Health aspects ; Health Promotion and Disease Prevention ; Humans ; Internal Medicine ; Male ; Medicine ; Medicine & Public Health ; Metabolic Diseases ; Middle Aged ; Minority & ethnic groups ; Physiological aspects ; Property values ; Public Health ; Race ; Racial Groups - ethnology ; Racial Groups - statistics & numerical data ; Real estate ; Residence Characteristics ; Residential density ; Retrospective Studies ; Sex ; Sex (Biology) ; Sex Factors ; Subgroups ; Supermarkets ; Trajectory analysis ; Urban environments ; Weight gain ; Weight Gain - ethnology ; Weight Gain - physiology</subject><ispartof>International Journal of Obesity, 2021-12, Vol.45 (12), p.2648-2656</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Limited 2021</rights><rights>2021. The Author(s), under exclusive licence to Springer Nature Limited.</rights><rights>COPYRIGHT 2021 Nature Publishing Group</rights><rights>The Author(s), under exclusive licence to Springer Nature Limited 2021.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c572t-8b60fd00e876933ece2258a334046b99de31b2953fce4a86530f57ae937e1fc73</citedby><cites>FETCH-LOGICAL-c572t-8b60fd00e876933ece2258a334046b99de31b2953fce4a86530f57ae937e1fc73</cites><orcidid>0000-0002-7919-7103 ; 0000-0001-8485-4799</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/s41366-021-00937-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/s41366-021-00937-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34453098$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Buszkiewicz, James H.</creatorcontrib><creatorcontrib>Bobb, Jennifer F.</creatorcontrib><creatorcontrib>Kapos, Flavia</creatorcontrib><creatorcontrib>Hurvitz, Philip M.</creatorcontrib><creatorcontrib>Arterburn, David</creatorcontrib><creatorcontrib>Moudon, Anne Vernez</creatorcontrib><creatorcontrib>Cook, Andrea</creatorcontrib><creatorcontrib>Mooney, Stephen J.</creatorcontrib><creatorcontrib>Cruz, Maricela</creatorcontrib><creatorcontrib>Gupta, Shilpi</creatorcontrib><creatorcontrib>Lozano, Paula</creatorcontrib><creatorcontrib>Rosenberg, Dori E.</creatorcontrib><creatorcontrib>Theis, Mary Kay</creatorcontrib><creatorcontrib>Anau, Jane</creatorcontrib><creatorcontrib>Drewnowski, Adam</creatorcontrib><title>Differential associations of the built environment on weight gain by sex and race/ethnicity but not age</title><title>International Journal of Obesity</title><addtitle>Int J Obes</addtitle><addtitle>Int J Obes (Lond)</addtitle><description>Objective
To explore the built environment (BE) and weight change relationship by age, sex, and racial/ethnic subgroups in adults.
Methods
Weight trajectories were estimated using electronic health records for 115,260 insured Kaiser Permanente Washington members age 18–64 years. Member home addresses were geocoded using ArcGIS. Population, residential, and road intersection densities and counts of area supermarkets and fast food restaurants were measured with SmartMaps (800 and 5000-meter buffers) and categorized into tertiles. Linear mixed-effect models tested whether associations between BE features and weight gain at 1, 3, and 5 years differed by age, sex, and race/ethnicity, adjusting for demographics, baseline weight, and residential property values.
Results
Denser urban form and greater availability of supermarkets and fast food restaurants were associated with differential weight change across sex and race/ethnicity. At 5 years, the mean difference in weight change comparing the 3rd versus 1st tertile of residential density was significantly different between males (−0.49 kg, 95% CI: −0.68, −0.30) and females (−0.17 kg, 95% CI: −0.33, −0.01) (
P
-value for interaction = 0.011). Across race/ethnicity, the mean difference in weight change at 5 years for residential density was significantly different among non-Hispanic (NH) Whites (−0.47 kg, 95% CI: −0.61, −0.32), NH Blacks (−0.86 kg, 95% CI: −1.37, −0.36), Hispanics (0.10 kg, 95% CI: −0.46, 0.65), and NH Asians (0.44 kg, 95% CI: 0.10, 0.78) (
P
-value for interaction <0.001). These findings were consistent for other BE measures.
Conclusion
The relationship between the built environment and weight change differs across demographic groups. Careful consideration of demographic differences in associations of BE and weight trajectories is warranted for investigating etiological mechanisms and guiding intervention development.</description><subject>692/308/174</subject><subject>692/499</subject><subject>692/699/2743/393</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Age</subject><subject>Body weight gain</subject><subject>Built environment</subject><subject>Built Environment - standards</subject><subject>Built Environment - statistics & numerical data</subject><subject>Cohort Studies</subject><subject>Demographic aspects</subject><subject>Demographics</subject><subject>Demography</subject><subject>Electronic health records</subject><subject>Electronic medical records</subject><subject>Environmental aspects</subject><subject>Epidemiology</subject><subject>Ethnicity</subject><subject>Etiology</subject><subject>Fast food</subject><subject>Female</subject><subject>Health aspects</subject><subject>Health Promotion and Disease Prevention</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic Diseases</subject><subject>Middle Aged</subject><subject>Minority & ethnic groups</subject><subject>Physiological aspects</subject><subject>Property values</subject><subject>Public Health</subject><subject>Race</subject><subject>Racial Groups - ethnology</subject><subject>Racial Groups - statistics & numerical data</subject><subject>Real estate</subject><subject>Residence Characteristics</subject><subject>Residential density</subject><subject>Retrospective Studies</subject><subject>Sex</subject><subject>Sex (Biology)</subject><subject>Sex Factors</subject><subject>Subgroups</subject><subject>Supermarkets</subject><subject>Trajectory analysis</subject><subject>Urban environments</subject><subject>Weight gain</subject><subject>Weight Gain - ethnology</subject><subject>Weight Gain - physiology</subject><issn>0307-0565</issn><issn>1476-5497</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kl1rFDEUhoMotq7-AS8kIIg3056ZfMzkRij1Ewre6HXIZM_MpMwmNclU99-b7da2KyK5COQ8503Om5eQlzWc1MC608RrJmUFTV0BKNZW6hE5rnkrK8FV-5gcA4O2AiHFEXmW0iUACAHNU3LEOBcMVHdMxvduGDCiz87M1KQUrDPZBZ9oGGiekPaLmzNFf-1i8JsC0uDpT3TjlOlonKf9lib8RY1f02gsnmKevLMub0trpj5kakZ8Tp4MZk744nZfke8fP3w7_1xdfP305fzsorKibXLV9RKGNQB2rVSMocWmEZ1hjAOXvVJrZHXfKMEGi9x0skwxiNZgmR7rwbZsRd7tda-WfoNrW94bzayvotuYuNXBOH1Y8W7SY7jWnYROFuEVeXsrEMOPBVPWG5cszrPxGJakGyElcCj-F_T1X-hlWKIv4-lGAtTFYK7uqdHMqJ0fQrnX7kT1mewYU1IpXqiTf1BlrXHjbPA4uHJ-0PDmQcOEZs5TCvNy83eHYLMHbQwpRRzuzKhB73Kk9znSJUf6Jkd69-hXD228a_kTnAKwPZBKyY8Y72f_j-xv4qrSGA</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>Buszkiewicz, James H.</creator><creator>Bobb, Jennifer F.</creator><creator>Kapos, Flavia</creator><creator>Hurvitz, Philip M.</creator><creator>Arterburn, David</creator><creator>Moudon, Anne Vernez</creator><creator>Cook, Andrea</creator><creator>Mooney, Stephen J.</creator><creator>Cruz, Maricela</creator><creator>Gupta, Shilpi</creator><creator>Lozano, Paula</creator><creator>Rosenberg, Dori E.</creator><creator>Theis, Mary Kay</creator><creator>Anau, Jane</creator><creator>Drewnowski, Adam</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><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>3V.</scope><scope>7T2</scope><scope>7TK</scope><scope>7TS</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-7919-7103</orcidid><orcidid>https://orcid.org/0000-0001-8485-4799</orcidid></search><sort><creationdate>20211201</creationdate><title>Differential associations of the built environment on weight gain by sex and race/ethnicity but not age</title><author>Buszkiewicz, James H. ; Bobb, Jennifer F. ; Kapos, Flavia ; Hurvitz, Philip M. ; Arterburn, David ; Moudon, Anne Vernez ; Cook, Andrea ; Mooney, Stephen J. ; Cruz, Maricela ; Gupta, Shilpi ; Lozano, Paula ; Rosenberg, Dori E. ; Theis, Mary Kay ; Anau, Jane ; Drewnowski, Adam</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c572t-8b60fd00e876933ece2258a334046b99de31b2953fce4a86530f57ae937e1fc73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>692/308/174</topic><topic>692/499</topic><topic>692/699/2743/393</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Age</topic><topic>Body weight gain</topic><topic>Built environment</topic><topic>Built Environment - standards</topic><topic>Built Environment - statistics & numerical data</topic><topic>Cohort Studies</topic><topic>Demographic aspects</topic><topic>Demographics</topic><topic>Demography</topic><topic>Electronic health records</topic><topic>Electronic medical records</topic><topic>Environmental aspects</topic><topic>Epidemiology</topic><topic>Ethnicity</topic><topic>Etiology</topic><topic>Fast food</topic><topic>Female</topic><topic>Health aspects</topic><topic>Health Promotion and Disease Prevention</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic Diseases</topic><topic>Middle Aged</topic><topic>Minority & ethnic groups</topic><topic>Physiological aspects</topic><topic>Property values</topic><topic>Public Health</topic><topic>Race</topic><topic>Racial Groups - ethnology</topic><topic>Racial Groups - statistics & numerical data</topic><topic>Real estate</topic><topic>Residence Characteristics</topic><topic>Residential density</topic><topic>Retrospective Studies</topic><topic>Sex</topic><topic>Sex (Biology)</topic><topic>Sex Factors</topic><topic>Subgroups</topic><topic>Supermarkets</topic><topic>Trajectory analysis</topic><topic>Urban environments</topic><topic>Weight gain</topic><topic>Weight Gain - ethnology</topic><topic>Weight Gain - physiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Buszkiewicz, James H.</creatorcontrib><creatorcontrib>Bobb, Jennifer F.</creatorcontrib><creatorcontrib>Kapos, Flavia</creatorcontrib><creatorcontrib>Hurvitz, Philip M.</creatorcontrib><creatorcontrib>Arterburn, David</creatorcontrib><creatorcontrib>Moudon, Anne Vernez</creatorcontrib><creatorcontrib>Cook, Andrea</creatorcontrib><creatorcontrib>Mooney, Stephen J.</creatorcontrib><creatorcontrib>Cruz, Maricela</creatorcontrib><creatorcontrib>Gupta, Shilpi</creatorcontrib><creatorcontrib>Lozano, Paula</creatorcontrib><creatorcontrib>Rosenberg, Dori E.</creatorcontrib><creatorcontrib>Theis, Mary Kay</creatorcontrib><creatorcontrib>Anau, Jane</creatorcontrib><creatorcontrib>Drewnowski, Adam</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Physical Education Index</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>ProQuest Biological Science Journals</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International Journal of Obesity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Buszkiewicz, James H.</au><au>Bobb, Jennifer F.</au><au>Kapos, Flavia</au><au>Hurvitz, Philip M.</au><au>Arterburn, David</au><au>Moudon, Anne Vernez</au><au>Cook, Andrea</au><au>Mooney, Stephen J.</au><au>Cruz, Maricela</au><au>Gupta, Shilpi</au><au>Lozano, Paula</au><au>Rosenberg, Dori E.</au><au>Theis, Mary Kay</au><au>Anau, Jane</au><au>Drewnowski, Adam</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Differential associations of the built environment on weight gain by sex and race/ethnicity but not age</atitle><jtitle>International Journal of Obesity</jtitle><stitle>Int J Obes</stitle><addtitle>Int J Obes (Lond)</addtitle><date>2021-12-01</date><risdate>2021</risdate><volume>45</volume><issue>12</issue><spage>2648</spage><epage>2656</epage><pages>2648-2656</pages><issn>0307-0565</issn><eissn>1476-5497</eissn><abstract>Objective
To explore the built environment (BE) and weight change relationship by age, sex, and racial/ethnic subgroups in adults.
Methods
Weight trajectories were estimated using electronic health records for 115,260 insured Kaiser Permanente Washington members age 18–64 years. Member home addresses were geocoded using ArcGIS. Population, residential, and road intersection densities and counts of area supermarkets and fast food restaurants were measured with SmartMaps (800 and 5000-meter buffers) and categorized into tertiles. Linear mixed-effect models tested whether associations between BE features and weight gain at 1, 3, and 5 years differed by age, sex, and race/ethnicity, adjusting for demographics, baseline weight, and residential property values.
Results
Denser urban form and greater availability of supermarkets and fast food restaurants were associated with differential weight change across sex and race/ethnicity. At 5 years, the mean difference in weight change comparing the 3rd versus 1st tertile of residential density was significantly different between males (−0.49 kg, 95% CI: −0.68, −0.30) and females (−0.17 kg, 95% CI: −0.33, −0.01) (
P
-value for interaction = 0.011). Across race/ethnicity, the mean difference in weight change at 5 years for residential density was significantly different among non-Hispanic (NH) Whites (−0.47 kg, 95% CI: −0.61, −0.32), NH Blacks (−0.86 kg, 95% CI: −1.37, −0.36), Hispanics (0.10 kg, 95% CI: −0.46, 0.65), and NH Asians (0.44 kg, 95% CI: 0.10, 0.78) (
P
-value for interaction <0.001). These findings were consistent for other BE measures.
Conclusion
The relationship between the built environment and weight change differs across demographic groups. Careful consideration of demographic differences in associations of BE and weight trajectories is warranted for investigating etiological mechanisms and guiding intervention development.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>34453098</pmid><doi>10.1038/s41366-021-00937-9</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-7919-7103</orcidid><orcidid>https://orcid.org/0000-0001-8485-4799</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0307-0565 |
| ispartof | International Journal of Obesity, 2021-12, Vol.45 (12), p.2648-2656 |
| issn | 0307-0565 1476-5497 |
| language | eng |
| recordid | cdi_proquest_journals_2600109849 |
| source | MEDLINE; Nature; SpringerLink Journals - AutoHoldings |
| subjects | 692/308/174 692/499 692/699/2743/393 Adolescent Adult Age Body weight gain Built environment Built Environment - standards Built Environment - statistics & numerical data Cohort Studies Demographic aspects Demographics Demography Electronic health records Electronic medical records Environmental aspects Epidemiology Ethnicity Etiology Fast food Female Health aspects Health Promotion and Disease Prevention Humans Internal Medicine Male Medicine Medicine & Public Health Metabolic Diseases Middle Aged Minority & ethnic groups Physiological aspects Property values Public Health Race Racial Groups - ethnology Racial Groups - statistics & numerical data Real estate Residence Characteristics Residential density Retrospective Studies Sex Sex (Biology) Sex Factors Subgroups Supermarkets Trajectory analysis Urban environments Weight gain Weight Gain - ethnology Weight Gain - physiology |
| title | Differential associations of the built environment on weight gain by sex and race/ethnicity but not age |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T13%3A59%3A44IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Differential%20associations%20of%20the%20built%20environment%20on%20weight%20gain%20by%20sex%20and%20race/ethnicity%20but%20not%20age&rft.jtitle=International%20Journal%20of%20Obesity&rft.au=Buszkiewicz,%20James%20H.&rft.date=2021-12-01&rft.volume=45&rft.issue=12&rft.spage=2648&rft.epage=2656&rft.pages=2648-2656&rft.issn=0307-0565&rft.eissn=1476-5497&rft_id=info:doi/10.1038/s41366-021-00937-9&rft_dat=%3Cgale_pubme%3EA683396994%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2600109849&rft_id=info:pmid/34453098&rft_galeid=A683396994&rfr_iscdi=true |