{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T05:06:25Z","timestamp":1789535185493,"version":"build-2803163510"},"reference-count":50,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T00:00:00Z","timestamp":1782691200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T00:00:00Z","timestamp":1782691200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100000027","name":"National Institute on Alcohol Abuse and Alcoholism","doi-asserted-by":"publisher","award":["AA031773"],"award-info":[{"award-number":["AA031773"]}],"id":[{"id":"10.13039\/100000027","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009633","name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","doi-asserted-by":"publisher","award":["P01\u2009HD31921"],"award-info":[{"award-number":["P01\u2009HD31921"]}],"id":[{"id":"10.13039\/100009633","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Addiction"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>To determine whether the association between neighborhood disadvantage and alcohol use and misuse can be explained by a potentially causal effect of neighborhoods or by between\u2010family genetic and environmental confounding.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>Cross\u2010sectional and prospective discordant twin and sibling study.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Setting<\/jats:title>\n                    <jats:p>United States national sample.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Participants<\/jats:title>\n                    <jats:p>1477 adult twin and sibling pairs (217 monozygotic twin, 336 dizygotic twin and 924 full biological sibling pairs) from the National Longitudinal Study of Adolescent to Adult Health (mean age\u2009=\u200928.49\u2009years, 53% female). Most twin and sibling pairs were discordant for the level of disadvantage in their neighborhood (70%).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Measurements<\/jats:title>\n                    <jats:p>The predictor was wave 4 neighborhood disadvantage, along with wave 4 individual\u2010, family\u2010 and neighborhood\u2010level covariates. The outcomes were any alcohol use, quantity x frequency of alcohol use (alcohol QF) and frequency of binge drinking assessed at wave 4 in the cross\u2010sectional models and at wave 5 in the prospective models. Neighborhood disadvantage for the two members of a twin\/sibling pair was used to create two orthogonal within\u2010 and between\u2010pair variables to be used to decompose the neighborhood\/alcohol association into a within\u2010pair (i.e. potentially causal) effect and a between\u2010pair association (i.e. family level confounding).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Findings<\/jats:title>\n                    <jats:p>In fully adjusted models including all covariates, only between\u2010pair (not within\u2010pair) neighborhood disadvantage was cross\u2010sectionally [odds ratio (OR)\u2009=\u00a00.92, 95% confidence interval (CI) = 0.88\u20130.98] and prospectively (OR\u2009=\u00a00.92, 95% CI\u2009=\u00a00.85\u20130.98) associated with lower odds of any alcohol use in the past year. Between\u2010pair neighborhood disadvantage was cross\u2010sectionally, but not prospectively, associated with increased alcohol QF in the past month among women [mean ratio (MR)\u2009=\u00a01.09, 95% CI\u2009=\u00a01.03\u20131.15], but not among men (MR\u2009=\u00a01.01, 95% CI\u2009=\u00a00.96\u20131.06). Within\u2010pair disadvantage was also cross\u2010sectionally, but not prospectively, associated with increased alcohol QF in the past month (MR\u2009=\u00a01.04, 95% CI\u2009=\u00a01.01\u20131.07). Neighborhood disadvantage was not significantly associated with binge drinking.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Neighborhood disadvantage appears to be negatively, positively and not significantly associated with any alcohol use, quantity\u2010frequency of use and binge drinking, respectively. Neighborhood disadvantage associations are more consistently explained by between\u2010family confounds, that is, genetic and family environmental factors common to neighborhood disadvantage and to drinking occurrence and amount consumed. This may be due to differential selection by families into neighborhoods.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/add.70533","type":"journal-article","created":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T10:10:02Z","timestamp":1782727802000},"page":"2713-2724","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A cross\u2010sectional and prospective examination of alcohol use and misuse among adult twin and sibling pairs discordant for neighborhood socio\u2010economic disadvantage"],"prefix":"10.1111","volume":"121","author":[{"given":"Wendy S.","family":"Slutske","sequence":"first","affiliation":[{"name":"Department of Family Medicine and Community Health, School of Medicine and Public Health University of Wisconsin\u2010Madison  Madison WI USA"},{"name":"Center for Tobacco Research and Intervention, School of Medicine and Public Health University of Wisconsin\u2010Madison  Madison WI USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Timothy B.","family":"Baker","sequence":"additional","affiliation":[{"name":"Center for Tobacco Research and Intervention, School of Medicine and Public Health University of Wisconsin\u2010Madison  Madison WI USA"},{"name":"Division of General Internal Medicine, Department of Medicine, School of Medicine and Public Health University of Wisconsin\u2010Madison  Madison WI USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2793-2049","authenticated-orcid":false,"given":"Thomas M.","family":"Piasecki","sequence":"additional","affiliation":[{"name":"Center for Tobacco Research and Intervention, School of Medicine and Public Health University of Wisconsin\u2010Madison  Madison WI USA"},{"name":"Division of General Internal Medicine, Department of Medicine, School of Medicine and Public Health University of Wisconsin\u2010Madison  Madison WI USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,6,29]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s40471-015-0035-7"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1136\/jech.55.2.111"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.soc.25.1.489"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1465-3362.2010.00191.x"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.healthplace.2014.02.008"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.copsyc.2019.06.009"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.labeco.2021.101999"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cub.2016.09.035"},{"key":"e_1_2_10_10_1","doi-asserted-by":"publisher","DOI":"10.1375\/twin.8.1.22"},{"key":"e_1_2_10_11_1","doi-asserted-by":"publisher","DOI":"10.2105\/AJPH.2013.301252"},{"key":"e_1_2_10_12_1","doi-asserted-by":"publisher","DOI":"10.1177\/1745691610383511"},{"key":"e_1_2_10_13_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1745-6916.2007.00050.x"},{"key":"e_1_2_10_14_1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511996481.012"},{"key":"e_1_2_10_15_1","doi-asserted-by":"publisher","DOI":"10.1177\/0165025409340805"},{"key":"e_1_2_10_16_1","doi-asserted-by":"publisher","DOI":"10.15288\/jsad.2018.79.68"},{"key":"e_1_2_10_17_1","doi-asserted-by":"publisher","DOI":"10.1177\/2167702618812700"},{"key":"e_1_2_10_18_1","first-page":"22","volume-title":"Health behavior: theory, research, and practice","author":"Salvo D","year":"2024"},{"key":"e_1_2_10_19_1","doi-asserted-by":"publisher","DOI":"10.2105\/AJPH.2012.301181"},{"key":"e_1_2_10_20_1","doi-asserted-by":"publisher","DOI":"10.1093\/ije\/dyz115"},{"key":"e_1_2_10_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11524-006-9040-y"},{"key":"e_1_2_10_22_1","doi-asserted-by":"publisher","DOI":"10.1002\/9781118445112.stat01887"},{"key":"e_1_2_10_23_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41562-019-0562-1"},{"key":"e_1_2_10_24_1","volume-title":"Add health wave IV: contextual data","author":"Morales L","year":"2013"},{"key":"e_1_2_10_25_1","unstructured":"United States Department of Agriculture Economic Research Service.Rural\u2010Urban Commuting Area Codes (RUCA).2020. 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