{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T16:43:58Z","timestamp":1789577038263,"version":"build-2803163510"},"reference-count":38,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T00:00:00Z","timestamp":1761782400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Clinical &amp;amp; Exp Dental Res"],"published-print":{"date-parts":[[2025,12]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>This study investigated the clustering patterns of oral health\u2010related behaviors and their relationship with sociodemographic factors in a national sample of 12\u2010 and 15\u2010year\u2010olds from England, Wales, and Northern Ireland.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Material and Methods<\/jats:title>\n                    <jats:p>Data from the Child Dental Health Survey (CDHS) 2013 were analyzed. Five individual behaviors were considered: smoking, alcohol use, tooth brushing frequency, sugar intake, and dental attendance. Explanatory variables included sex, age, and eligibility for free school meal (FSM) (as a marker of socioeconomic deprivation). Clustering patterns were assessed using counted clusters, pairwise correlation, and observed\/expected ratio analysis. Logistic regression models were performed to assess the associations between behavioral clusters and sociodemographic factors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The study included 4932 young people, with 51.5% aged 15 years, 50.6% male, and 17.4% eligible for FSM. Statistical differences were found in individual behaviors: Males were more likely to report lower tooth brushing frequency (28.1% vs. 13.6% for females), while 15\u2010year\u2010olds were more likely to engage in smoking (28.0% vs. 6.0%) and alcohol consumption (73.5% vs. 29.2%) compared to 12\u2010year\u2010olds. FSM\u2010eligible adolescents were more likely to engage in all risk behaviors, except for alcohol consumption. Seven significant behavioral clusters were identified through O\/E analysis, each involving combinations of two or three risk behaviors. In the regression analysis, age was strongly associated with these clusters. For example, 15\u2010year\u2010olds had significantly higher odds (OR: 7.04; 95% CI: 4.85\u201310.22) of exhibiting the cluster involving smoking and alcohol use compared to 12\u2010year\u2010olds. Sex and FSM eligibility also showed significant, though weaker, associations with five of the identified behavioral patterns.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Detrimental oral health behavioral clusters were more commonly observed among males, 15\u2010year\u2010olds, and adolescents from less advantaged backgrounds.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/cre2.70209","type":"journal-article","created":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T10:15:02Z","timestamp":1761819302000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Clustering of Oral Health\u2010Related Behaviors and Their Association With Sociodemographic Factors in Adolescents Living in England, Wales, and Northern Ireland"],"prefix":"10.1002","volume":"11","author":[{"given":"\u00c1vila\u2010Oliver","family":"Camila","sequence":"first","affiliation":[{"name":"Facultad de Medicina Cl\u00ednica Alemana Universidad del Desarrollo Santiago Chile"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4248-1274","authenticated-orcid":false,"given":"Renato","family":"Venturelli","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Public Health University College London London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9408-6897","authenticated-orcid":false,"given":"Dominga","family":"Ladevig","sequence":"additional","affiliation":[{"name":"Facultad de Medicina Cl\u00ednica Alemana Universidad del Desarrollo Santiago Chile"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tsakos","family":"Georgios","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Public Health University College London London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Watt","family":"Richard G","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Public Health University College London London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,10,30]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ypmed.2009.02.015"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2458-14-1215"},{"key":"e_1_2_11_4_1","volume-title":"Children's Dental Health Survey 2013. 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