{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T23:15:16Z","timestamp":1777936516691,"version":"3.51.4"},"reference-count":15,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/100000002","name":"national institutes of health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Tob Use Insights"],"published-print":{"date-parts":[[2019,1]]},"abstract":"<jats:sec>\n                    <jats:title>Introduction:<\/jats:title>\n                    <jats:p>Web-based smoking prevention programs can be delivered to large groups of adolescents under relatively private conditions at a convenient cost, but their effectiveness is highly dependent on the level of exposure to the educational content. The objective of the study was to identify the predictors of high program exposure among a group of adolescents participating in a web-based smoking prevention cluster randomized trial in Romania.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>The study sample included 675 adolescents from T\u00e2rgu Mure\u015f, Romania. The level of exposure to the ASPIRE web-based smoking prevention program was monitored using data automatically saved on the system server. High program exposure was defined as watching 75% to 100% of the educational content. Associations between adolescents\u2019 sociodemographic, psychological, and behavioral variables collected online at the beginning of the intervention and high program exposure were tested using chi-square test and logistic regression.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>In all, 68.3% of students were highly exposed to the program. There were 4 significant predictors of high program exposure in the multivariable logistic regression model: participant\u2019s father\u2019s lower level of education (odds ratio [OR]: 1.75; 95% confidence interval [CI]: 1.19-2.44), participant\u2019s brother\u2019s nonsmoking status (OR: 1.76; 95% CI: 1.13-2.72), never trying e-cigarettes (OR: 1.73; 95% CI: 1.22-2.45), and considering the health of others an important reason not to smoke (OR: 2.46; 95% CI: 1.54-3.93).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>The analysis identified sociodemographic, psychological, and behavioral factors that may be useful in project management of such intervention to improve program effectiveness.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/1179173x19845337","type":"journal-article","created":{"date-parts":[[2019,4,26]],"date-time":"2019-04-26T08:30:36Z","timestamp":1556267436000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Predictors of High Program Exposure Among Adolescents Participating in a Smoking Prevention Intervention in Romania"],"prefix":"10.1177","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0068-3772","authenticated-orcid":false,"given":"Valentin","family":"N\u0103d\u0103\u015fan","sequence":"first","affiliation":[{"name":"Department of Hygiene, University of Medicine, Pharmacy, Sciences and Technology of T\u00e2rgu Mure\u0219, T\u00e2rgu Mure\u0219, Romania"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lor\u00e1nd","family":"Ferencz","sequence":"additional","affiliation":[{"name":"Department of Hygiene, University of Medicine, Pharmacy, Sciences and Technology of T\u00e2rgu Mure\u0219, T\u00e2rgu Mure\u0219, Romania"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zolt\u00e1n","family":"\u00c1br\u00e1m","sequence":"additional","affiliation":[{"name":"Department of Hygiene, University of Medicine, Pharmacy, Sciences and Technology of T\u00e2rgu Mure\u0219, T\u00e2rgu Mure\u0219, Romania"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kristie","family":"Foley","sequence":"additional","affiliation":[{"name":"Department of Implementation Science, Wake Forest School of Medicine, Winston-Salem, NC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,4,26]]},"reference":[{"key":"bibr1-1179173X19845337","doi-asserted-by":"publisher","DOI":"10.1016\/S2214-109X(16)30187-5"},{"key":"bibr2-1179173X19845337","unstructured":"Centers for Disease Control Prevention. Global Tobacco Surveillance System Data (GTSSData). Fact sheets. https:\/\/nccd.cdc.gov\/GTSSDataSurveyResources\/Ancillary\/DataReports.aspx?CAID=1. Up-dated 2008. Accessed March 15, 2019."},{"key":"bibr3-1179173X19845337","first-page":"55","volume":"27","author":"Irimie S","year":"2010","journal-title":"Appl Med Inf"},{"key":"bibr4-1179173X19845337","first-page":"58","volume":"64","author":"N\u0103d\u0103\u015fan V","year":"2015","journal-title":"Pneumologia"},{"key":"bibr5-1179173X19845337","volume":"4","author":"Thomas RE","year":"2013","journal-title":"Cochrane Database Syst Rev"},{"key":"bibr6-1179173X19845337","doi-asserted-by":"publisher","DOI":"10.1186\/s13012-016-0490-7"},{"key":"bibr7-1179173X19845337","doi-asserted-by":"publisher","DOI":"10.1016\/j.evalprogplan.2018.09.004"},{"key":"bibr8-1179173X19845337","doi-asserted-by":"publisher","DOI":"10.1177\/1090198106288982"},{"key":"bibr9-1179173X19845337","doi-asserted-by":"publisher","DOI":"10.3109\/10826080903038050"},{"key":"bibr10-1179173X19845337","doi-asserted-by":"publisher","DOI":"10.1080\/14622200802323183"},{"key":"bibr11-1179173X19845337","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.2469"},{"key":"bibr12-1179173X19845337","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.3794"},{"key":"bibr13-1179173X19845337","doi-asserted-by":"publisher","DOI":"10.1111\/j.1746-1561.2008.00299.x"},{"key":"bibr14-1179173X19845337","first-page":"908","volume":"19","author":"N\u0103d\u0103\u015fan V","year":"2017","journal-title":"Nicotine Tob Res"},{"key":"bibr15-1179173X19845337","doi-asserted-by":"publisher","DOI":"10.1186\/s13063-016-1415-0"}],"container-title":["Tobacco Use Insights"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1179173X19845337","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/1179173X19845337","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1179173X19845337","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T03:34:38Z","timestamp":1777692878000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/1179173X19845337"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1]]},"references-count":15,"alternative-id":["10.1177\/1179173X19845337"],"URL":"https:\/\/doi.org\/10.1177\/1179173x19845337","relation":{},"ISSN":["1179-173X","1179-173X"],"issn-type":[{"value":"1179-173X","type":"print"},{"value":"1179-173X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1]]},"article-number":"1179173X19845337"}}