<HashMap><database>biostudies-literature</database><scores><citationCount>0</citationCount><reanalysisCount>0</reanalysisCount><viewCount>47</viewCount><searchCount>0</searchCount></scores><additional><submitter>Powell-Wiley TM</submitter><funding>National Institutes of Health Medical Research Scholars Program</funding><funding>Genentech</funding><funding>Division of Intramural Research of the National Heart</funding><funding>Division of Intramural Research of the National Human Genome Research Institute (National Institutes of Health</funding><funding>National Institutes of Health from the Doris Duke Charitable Foundation</funding><funding>Division of Cancer Control and Population Sciences of the National Cancer Institute</funding><funding>National Institutes of Health Intramural Research Program</funding><funding>National Institutes of Health</funding><funding>Elsevier</funding><funding>American Association for Dental Research</funding><funding>Colgate-Palmolive Company</funding><funding>Lung and Blood Institute and the Intramural Research Program of the National Institute on Minority Health and Health Disparities</funding><pagination>100517</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6909179</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>10</volume><pubmed_abstract>Socioeconomically disadvantaged neighborhoods have been associated with poor health outcomes. Little is known about the biological mechanism by which deprived neighborhood conditions exert negative influences on health. Data from the 1999-2002 National Health and Nutrition Examination Surveys (NHANES) were used to assess the relationship between neighborhood deprivation index (NDI) and log-transformed leukocyte telomere length (LTL) via multilevel modeling to control for census tract level clustering. Models were constructed using tertiles of NDI (ref = low NDI). NDI was calculated using census tract level socioeconomic indicators from the 2000 U.S. Census. The sample (n = 5,106 adults) was 49.8% female and consisted of 82.9% non-Hispanic whites, 9.4% non-Hispanic blacks, and 7.6% Mexican Americans. Mean age was 45.8 years. Residents of neighborhoods with high NDI were younger, non-white, had lower educational attainment, and had a lower poverty to income ratio (all &lt;i>p&lt;/i> &lt; 0.0001). Neighborhood deprivation was inversely associated with LTL among individuals living in neighborhoods with medium NDI (β = -0.043, SE = 0.012, &lt;i>p&lt;/i> = 0.0005) and high NDI (β = -0.039, SE = 0.013, &lt;i>p&lt;/i> = 0.003). Among men, both medium (β = -0.042, SE = 0.015, &lt;i>p&lt;/i> = 0.006) and high (β = -0.047, SE = 0.015, &lt;i>p&lt;/i> = 0.001) NDI were associated with shorter LTL. Among women, only medium NDI (β = -0.020, SE = 0.016, &lt;i>p&lt;/i> = 0.009) was associated with shorter LTL. After controlling for individual characteristics, including individual-level socioeconomic status, increasing neighborhood socioeconomic deprivation is associated with shorter LTL among a nationally representative sample of US adults. This suggests that telomere shortening may be a mechanism through which neighborhood deprivation results in poor health outcomes.</pubmed_abstract><journal>SSM - population health</journal><pubmed_title>The relationship between neighborhood socioeconomic deprivation and telomere length: The 1999-2002 National Health and Nutrition Examination Survey.</pubmed_title><pmcid>PMC6909179</pmcid><funding_grant_id>ZIAHL006225</funding_grant_id><funding_grant_id>ZIAHL006148</funding_grant_id><funding_grant_id>ZIAHL006168</funding_grant_id><pubmed_authors>Davis SK</pubmed_authors><pubmed_authors>Berrigan D</pubmed_authors><pubmed_authors>Powell-Wiley TM</pubmed_authors><pubmed_authors>Ayers C</pubmed_authors><pubmed_authors>Gebreab SY</pubmed_authors><pubmed_authors>Andrews MR</pubmed_authors><pubmed_authors>Claudel SE</pubmed_authors><pubmed_authors>Adu-Brimpong J</pubmed_authors><view_count>47</view_count></additional><is_claimable>false</is_claimable><name>The relationship between neighborhood socioeconomic deprivation and telomere length: The 1999-2002 National Health and Nutrition Examination Survey.</name><description>Socioeconomically disadvantaged neighborhoods have been associated with poor health outcomes. Little is known about the biological mechanism by which deprived neighborhood conditions exert negative influences on health. Data from the 1999-2002 National Health and Nutrition Examination Surveys (NHANES) were used to assess the relationship between neighborhood deprivation index (NDI) and log-transformed leukocyte telomere length (LTL) via multilevel modeling to control for census tract level clustering. Models were constructed using tertiles of NDI (ref = low NDI). NDI was calculated using census tract level socioeconomic indicators from the 2000 U.S. Census. The sample (n = 5,106 adults) was 49.8% female and consisted of 82.9% non-Hispanic whites, 9.4% non-Hispanic blacks, and 7.6% Mexican Americans. Mean age was 45.8 years. Residents of neighborhoods with high NDI were younger, non-white, had lower educational attainment, and had a lower poverty to income ratio (all &lt;i>p&lt;/i> &lt; 0.0001). Neighborhood deprivation was inversely associated with LTL among individuals living in neighborhoods with medium NDI (β = -0.043, SE = 0.012, &lt;i>p&lt;/i> = 0.0005) and high NDI (β = -0.039, SE = 0.013, &lt;i>p&lt;/i> = 0.003). Among men, both medium (β = -0.042, SE = 0.015, &lt;i>p&lt;/i> = 0.006) and high (β = -0.047, SE = 0.015, &lt;i>p&lt;/i> = 0.001) NDI were associated with shorter LTL. Among women, only medium NDI (β = -0.020, SE = 0.016, &lt;i>p&lt;/i> = 0.009) was associated with shorter LTL. After controlling for individual characteristics, including individual-level socioeconomic status, increasing neighborhood socioeconomic deprivation is associated with shorter LTL among a nationally representative sample of US adults. This suggests that telomere shortening may be a mechanism through which neighborhood deprivation results in poor health outcomes.</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Apr</publication><modification>2024-11-08T09:40:47.296Z</modification><creation>2020-05-22T00:48:14Z</creation></dates><accession>S-EPMC6909179</accession><cross_references><pubmed>31872036</pubmed><doi>10.1016/j.ssmph.2019.100517</doi></cross_references></HashMap>