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Associations Between Neighborhood Environment, Health Behaviors, and Mortality
Considering the joint association of neighborhood socioeconomic environment and individual-level health behaviors with health outcomes may help officials design effective disease prevention strategies. This study evaluates the joint influences of neighborhood socioeconomic environment and individual...
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| Published in: | American journal of preventive medicine 2018-01, Vol.54 (1), p.87-95 |
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| Main Authors: | , , , , , , |
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| cites | cdi_FETCH-LOGICAL-c491t-feafa8fa11ac6e7ea3e6c12ea80cf0c2084457c09564e791312f57c0ae24b4f73 |
| container_end_page | 95 |
| container_issue | 1 |
| container_start_page | 87 |
| container_title | American journal of preventive medicine |
| container_volume | 54 |
| creator | Warren Andersen, Shaneda Blot, William J. Shu, Xiao-Ou Sonderman, Jennifer S. Steinwandel, Mark Hargreaves, Margaret K. Zheng, Wei |
| description | Considering the joint association of neighborhood socioeconomic environment and individual-level health behaviors with health outcomes may help officials design effective disease prevention strategies. This study evaluates the joint influences of neighborhood socioeconomic environment and individual health behaviors on mortality in a cohort primarily comprising people with low individual-level SES.
The prospective Southern Community Cohort Study includes 77,896 white and African American participants recruited in the years 2002–2009; 55% of participants had a household income |
| doi_str_mv | 10.1016/j.amepre.2017.09.002 |
| format | article |
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The prospective Southern Community Cohort Study includes 77,896 white and African American participants recruited in the years 2002–2009; 55% of participants had a household income <$15,000 at baseline interview. Mortality from cancer (n=2,471), cardiovascular diseases (n=3,005), and all-causes (n=10,099) was identified from the National Death Index through December 31, 2013 (median follow-up, 8 years). Data were analyzed in 2016 and 2017. Associations were assessed between mortality, a neighborhood deprivation index composed of 11 census tract-level variables, five health behaviors, and a composite healthy lifestyle score.
Living in a neighborhood with the greatest socioeconomic disadvantage was associated with higher all-cause mortality in both men (hazard ratio=1.41, 95% CI=1.27, 1.57) and women (hazard ratio=1.77, 95% CI=1.57, 2.00). Associations were attenuated after adjustment for individual-level SES and major risk factors (hazard ratio for men=1.09, 95% CI=0.98, 1.22, and hazard ratio for women=1.26, 95% CI=1.12, 1.42). The dose–response association between neighborhood disadvantage and mortality was less apparent among smokers. Nevertheless, individuals who lived in disadvantaged neighborhoods and had the unhealthiest lifestyle scores experienced the highest mortality.
Disadvantaged neighborhood socioeconomic environments are associated with increased mortality in a cohort of individuals of low SES. Positive individual-level health behaviors may help negate the adverse effect of disadvantage on mortality.</description><identifier>ISSN: 0749-3797</identifier><identifier>EISSN: 1873-2607</identifier><identifier>DOI: 10.1016/j.amepre.2017.09.002</identifier><identifier>PMID: 29254556</identifier><language>eng</language><publisher>Netherlands: Elsevier Inc</publisher><subject>African Americans ; African Americans - statistics & numerical data ; Aged ; Cancer ; Cardiovascular diseases ; Censuses ; Cohort analysis ; Correlation analysis ; Deprivation ; Deprived areas ; Disadvantaged ; Environmental aspects ; European Continental Ancestry Group - statistics & numerical data ; Female ; Health Behavior ; Health Status ; Humans ; Individual differences ; Lifestyles ; Male ; Men ; Middle Aged ; Mortality ; Neighborhoods ; Poverty ; Prevention ; Prospective Studies ; Residence Characteristics ; Risk Factors ; Side effects ; Smoking ; Socioeconomic Factors ; Socioeconomic status ; Women</subject><ispartof>American journal of preventive medicine, 2018-01, Vol.54 (1), p.87-95</ispartof><rights>2018 American Journal of Preventive Medicine</rights><rights>Copyright © 2018 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Science Ltd. Jan 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c491t-feafa8fa11ac6e7ea3e6c12ea80cf0c2084457c09564e791312f57c0ae24b4f73</citedby><cites>FETCH-LOGICAL-c491t-feafa8fa11ac6e7ea3e6c12ea80cf0c2084457c09564e791312f57c0ae24b4f73</cites><orcidid>0000-0003-1226-070X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925,30999</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29254556$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Warren Andersen, Shaneda</creatorcontrib><creatorcontrib>Blot, William J.</creatorcontrib><creatorcontrib>Shu, Xiao-Ou</creatorcontrib><creatorcontrib>Sonderman, Jennifer S.</creatorcontrib><creatorcontrib>Steinwandel, Mark</creatorcontrib><creatorcontrib>Hargreaves, Margaret K.</creatorcontrib><creatorcontrib>Zheng, Wei</creatorcontrib><title>Associations Between Neighborhood Environment, Health Behaviors, and Mortality</title><title>American journal of preventive medicine</title><addtitle>Am J Prev Med</addtitle><description>Considering the joint association of neighborhood socioeconomic environment and individual-level health behaviors with health outcomes may help officials design effective disease prevention strategies. This study evaluates the joint influences of neighborhood socioeconomic environment and individual health behaviors on mortality in a cohort primarily comprising people with low individual-level SES.
The prospective Southern Community Cohort Study includes 77,896 white and African American participants recruited in the years 2002–2009; 55% of participants had a household income <$15,000 at baseline interview. Mortality from cancer (n=2,471), cardiovascular diseases (n=3,005), and all-causes (n=10,099) was identified from the National Death Index through December 31, 2013 (median follow-up, 8 years). Data were analyzed in 2016 and 2017. Associations were assessed between mortality, a neighborhood deprivation index composed of 11 census tract-level variables, five health behaviors, and a composite healthy lifestyle score.
Living in a neighborhood with the greatest socioeconomic disadvantage was associated with higher all-cause mortality in both men (hazard ratio=1.41, 95% CI=1.27, 1.57) and women (hazard ratio=1.77, 95% CI=1.57, 2.00). Associations were attenuated after adjustment for individual-level SES and major risk factors (hazard ratio for men=1.09, 95% CI=0.98, 1.22, and hazard ratio for women=1.26, 95% CI=1.12, 1.42). The dose–response association between neighborhood disadvantage and mortality was less apparent among smokers. Nevertheless, individuals who lived in disadvantaged neighborhoods and had the unhealthiest lifestyle scores experienced the highest mortality.
Disadvantaged neighborhood socioeconomic environments are associated with increased mortality in a cohort of individuals of low SES. Positive individual-level health behaviors may help negate the adverse effect of disadvantage on mortality.</description><subject>African Americans</subject><subject>African Americans - statistics & numerical data</subject><subject>Aged</subject><subject>Cancer</subject><subject>Cardiovascular diseases</subject><subject>Censuses</subject><subject>Cohort analysis</subject><subject>Correlation analysis</subject><subject>Deprivation</subject><subject>Deprived areas</subject><subject>Disadvantaged</subject><subject>Environmental aspects</subject><subject>European Continental Ancestry Group - statistics & numerical data</subject><subject>Female</subject><subject>Health Behavior</subject><subject>Health Status</subject><subject>Humans</subject><subject>Individual differences</subject><subject>Lifestyles</subject><subject>Male</subject><subject>Men</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Neighborhoods</subject><subject>Poverty</subject><subject>Prevention</subject><subject>Prospective Studies</subject><subject>Residence Characteristics</subject><subject>Risk Factors</subject><subject>Side effects</subject><subject>Smoking</subject><subject>Socioeconomic Factors</subject><subject>Socioeconomic status</subject><subject>Women</subject><issn>0749-3797</issn><issn>1873-2607</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNp9kc1u1DAUhS1ERYeWN0AoEhsWTbh2nDjeILVVoUilbMra8jg3jUeJPdieQX17PJ3-AAtWluXvHN9zDyFvKVQUaPtxVekZ1wErBlRUICsA9oIsaCfqkrUgXpIFCC7LWkhxSF7HuAIA0VH5ihwyyRreNO2CXJ_G6I3VyXoXizNMvxBdcY32dlz6MHrfFxdua4N3M7p0UlyintKYwVFvrQ_xpNCuL775kPRk090xORj0FPHNw3lEfny-uDm_LK--f_l6fnpVGi5pKgfUg-4GTak2LQrUNbaGMtQdmAEMg47zRhiQTctRSFpTNuzuGhlf8kHUR-TT3ne9Wc7Ymzxb0JNaBzvrcKe8turvF2dHdeu3qhG1BNFkgw8PBsH_3GBMarbR4DRph34TFZWiE1QIRjP6_h905TfB5Xhqt3qou7rmmeJ7ygQfY8DhaRgKaleYWql9YfcqBVLlwrLs3Z9BnkSPDT0nxbzOrcWgorHoDPY2oEmq9_b_P_wGiTeqIg</recordid><startdate>201801</startdate><enddate>201801</enddate><creator>Warren Andersen, Shaneda</creator><creator>Blot, William J.</creator><creator>Shu, Xiao-Ou</creator><creator>Sonderman, Jennifer S.</creator><creator>Steinwandel, Mark</creator><creator>Hargreaves, Margaret K.</creator><creator>Zheng, Wei</creator><general>Elsevier Inc</general><general>Elsevier Science Ltd</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>7QJ</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-1226-070X</orcidid></search><sort><creationdate>201801</creationdate><title>Associations Between Neighborhood Environment, Health Behaviors, and Mortality</title><author>Warren Andersen, Shaneda ; Blot, William J. ; Shu, Xiao-Ou ; Sonderman, Jennifer S. ; Steinwandel, Mark ; Hargreaves, Margaret K. ; Zheng, Wei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c491t-feafa8fa11ac6e7ea3e6c12ea80cf0c2084457c09564e791312f57c0ae24b4f73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>African Americans</topic><topic>African Americans - statistics & numerical data</topic><topic>Aged</topic><topic>Cancer</topic><topic>Cardiovascular diseases</topic><topic>Censuses</topic><topic>Cohort analysis</topic><topic>Correlation analysis</topic><topic>Deprivation</topic><topic>Deprived areas</topic><topic>Disadvantaged</topic><topic>Environmental aspects</topic><topic>European Continental Ancestry Group - statistics & numerical data</topic><topic>Female</topic><topic>Health Behavior</topic><topic>Health Status</topic><topic>Humans</topic><topic>Individual differences</topic><topic>Lifestyles</topic><topic>Male</topic><topic>Men</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Neighborhoods</topic><topic>Poverty</topic><topic>Prevention</topic><topic>Prospective Studies</topic><topic>Residence Characteristics</topic><topic>Risk Factors</topic><topic>Side effects</topic><topic>Smoking</topic><topic>Socioeconomic Factors</topic><topic>Socioeconomic status</topic><topic>Women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Warren Andersen, Shaneda</creatorcontrib><creatorcontrib>Blot, William J.</creatorcontrib><creatorcontrib>Shu, Xiao-Ou</creatorcontrib><creatorcontrib>Sonderman, Jennifer S.</creatorcontrib><creatorcontrib>Steinwandel, Mark</creatorcontrib><creatorcontrib>Hargreaves, Margaret K.</creatorcontrib><creatorcontrib>Zheng, Wei</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>American journal of preventive medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Warren Andersen, Shaneda</au><au>Blot, William J.</au><au>Shu, Xiao-Ou</au><au>Sonderman, Jennifer S.</au><au>Steinwandel, Mark</au><au>Hargreaves, Margaret K.</au><au>Zheng, Wei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Associations Between Neighborhood Environment, Health Behaviors, and Mortality</atitle><jtitle>American journal of preventive medicine</jtitle><addtitle>Am J Prev Med</addtitle><date>2018-01</date><risdate>2018</risdate><volume>54</volume><issue>1</issue><spage>87</spage><epage>95</epage><pages>87-95</pages><issn>0749-3797</issn><eissn>1873-2607</eissn><abstract>Considering the joint association of neighborhood socioeconomic environment and individual-level health behaviors with health outcomes may help officials design effective disease prevention strategies. This study evaluates the joint influences of neighborhood socioeconomic environment and individual health behaviors on mortality in a cohort primarily comprising people with low individual-level SES.
The prospective Southern Community Cohort Study includes 77,896 white and African American participants recruited in the years 2002–2009; 55% of participants had a household income <$15,000 at baseline interview. Mortality from cancer (n=2,471), cardiovascular diseases (n=3,005), and all-causes (n=10,099) was identified from the National Death Index through December 31, 2013 (median follow-up, 8 years). Data were analyzed in 2016 and 2017. Associations were assessed between mortality, a neighborhood deprivation index composed of 11 census tract-level variables, five health behaviors, and a composite healthy lifestyle score.
Living in a neighborhood with the greatest socioeconomic disadvantage was associated with higher all-cause mortality in both men (hazard ratio=1.41, 95% CI=1.27, 1.57) and women (hazard ratio=1.77, 95% CI=1.57, 2.00). Associations were attenuated after adjustment for individual-level SES and major risk factors (hazard ratio for men=1.09, 95% CI=0.98, 1.22, and hazard ratio for women=1.26, 95% CI=1.12, 1.42). The dose–response association between neighborhood disadvantage and mortality was less apparent among smokers. Nevertheless, individuals who lived in disadvantaged neighborhoods and had the unhealthiest lifestyle scores experienced the highest mortality.
Disadvantaged neighborhood socioeconomic environments are associated with increased mortality in a cohort of individuals of low SES. Positive individual-level health behaviors may help negate the adverse effect of disadvantage on mortality.</abstract><cop>Netherlands</cop><pub>Elsevier Inc</pub><pmid>29254556</pmid><doi>10.1016/j.amepre.2017.09.002</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-1226-070X</orcidid><oa>free_for_read</oa></addata></record> |
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| language | eng |
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| source | Applied Social Sciences Index & Abstracts (ASSIA); ScienceDirect Freedom Collection |
| subjects | African Americans African Americans - statistics & numerical data Aged Cancer Cardiovascular diseases Censuses Cohort analysis Correlation analysis Deprivation Deprived areas Disadvantaged Environmental aspects European Continental Ancestry Group - statistics & numerical data Female Health Behavior Health Status Humans Individual differences Lifestyles Male Men Middle Aged Mortality Neighborhoods Poverty Prevention Prospective Studies Residence Characteristics Risk Factors Side effects Smoking Socioeconomic Factors Socioeconomic status Women |
| title | Associations Between Neighborhood Environment, Health Behaviors, and Mortality |
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