{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T16:58:05Z","timestamp":1786121885489,"version":"build-2736575974"},"reference-count":42,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T00:00:00Z","timestamp":1785801600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Am J Health Promot"],"abstract":"<jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To examine demographic, socioeconomic, and health related correlates of the combined behavioral pattern of high screen time and physical inactivity among Texas high school students.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>Cross-sectional study using Youth Risk Behavior Survey data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Setting<\/jats:title>\n                    <jats:p>Texas high schools.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Sample<\/jats:title>\n                    <jats:p>32\u00a0227 students in grades 9-12 from 2001-2023.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Measures<\/jats:title>\n                    <jats:p>Screen time was dichotomized as high (\u22653 hours\/day) vs low (&lt;3 hours\/day). Physical activity was categorized as low (0-3 days\/week) vs high (&gt;3 days\/week of \u226560 minutes\/day). Demographic, body mass index, mental health, substance use, and dietary variables were assessed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Analysis<\/jats:title>\n                    <jats:p>Weighted prevalence estimates and multivariable logistic regression models were used, adjusting for potential confounders.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Approximately 25% of students exhibited both high screen time and low physical activity. Female students had 75% higher odds (95% CI: 1.54-2.00) of this behavioral combination compared to males. Black, Hispanic, and Other\/Multiracial students had 2-3 times higher odds compared to White students. Students perceiving themselves as very overweight had 2.5 times higher odds of both high screen time and low physical activity (95% CI: 1.82-3.50) compared to those who perceived themselves as having about the right weight. Depression and drug use were associated with increased odds, while fruit and vegetable consumption showed protective effects.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Comprehensive, culturally tailored interventions targeting both behaviors simultaneously are needed, particularly among underrepresented racial\/ethnic groups and students with mental health challenges.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/08901171261474441","type":"journal-article","created":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T02:51:31Z","timestamp":1785898291000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Determinants of High Screen Time Use and Physical Inactivity Among High School Students in Texas: A 2001-2023 Cross-Sectional Study"],"prefix":"10.1177","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4364-0481","authenticated-orcid":false,"given":"Asha","family":"Collier","sequence":"first","affiliation":[{"name":"Texas Department of State Health Services"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Justin","family":"Buendia","sequence":"additional","affiliation":[{"name":"Texas Department of State Health Services"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Colin","family":"Ferrel","sequence":"additional","affiliation":[{"name":"Texas Department of State Health Services"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nimisha","family":"Bhakta","sequence":"additional","affiliation":[{"name":"Texas Department of State Health Services"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,8,4]]},"reference":[{"key":"e_1_3_6_2_2","doi-asserted-by":"publisher","DOI":"10.7861\/clinmedicine.15-3-267"},{"key":"e_1_3_6_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/S2352-4642(19)30323-2"},{"key":"e_1_3_6_4_2","doi-asserted-by":"publisher","DOI":"10.1136\/bjsports-2020-102955"},{"key":"e_1_3_6_5_2","doi-asserted-by":"publisher","DOI":"10.15585\/mmwr.mm7344a5"},{"key":"e_1_3_6_6_2","unstructured":"Managing Chronic Health Conditions. 2024. https:\/\/www.cdc.gov\/school-health-conditions\/chronic-conditions\/index.html"},{"key":"e_1_3_6_7_2","doi-asserted-by":"publisher","DOI":"10.4093\/dmj.2025.0181"},{"key":"e_1_3_6_8_2","doi-asserted-by":"publisher","DOI":"10.15620\/cdc\/168509"},{"key":"e_1_3_6_9_2","doi-asserted-by":"publisher","DOI":"10.1111\/ijpo.12846"},{"key":"e_1_3_6_10_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamapediatrics.2022.4116"},{"key":"e_1_3_6_11_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2021.27892"},{"key":"e_1_3_6_12_2","unstructured":"United States Census Bureau - quick facts - texas. 2024. https:\/\/www.census.gov\/quickfacts\/fact\/table\/TX\/PST045224"},{"key":"e_1_3_6_13_2","unstructured":"Adult Obesity Prevalence Maps. 2024. https:\/\/www.cdc.gov\/obesity\/data-and-statistics\/adult-obesity-prevalence-maps.html"},{"key":"e_1_3_6_14_2","unstructured":"Adult physical inactivity outside of work. https:\/\/www.cdc.gov\/physical-activity\/php\/data\/inactivity-maps.html"},{"key":"e_1_3_6_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.socscimed.2017.09.041"},{"key":"e_1_3_6_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.alcr.2012.01.003"},{"key":"e_1_3_6_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jadohealth.2021.08.017"},{"key":"e_1_3_6_18_2","doi-asserted-by":"publisher","DOI":"10.3389\/fpubh.2023.1228632"},{"key":"e_1_3_6_19_2","first-page":"155982762412459","article-title":"Lifestyle behaviors of childhood and adolescence: contributing factors, health consequences, and potential interventions","author":"Arafa A","year":"2024","unstructured":"Arafa A, Yasui Y, Kokubo Y, et al. 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