Exploring Smoking Disparities and Sociodemographic Factors in a Peri-urban Landscape: A Census Tract-Level Analysis in McLennan County, Texas.

التفاصيل البيبلوغرافية
العنوان:	Exploring Smoking Disparities and Sociodemographic Factors in a Peri-urban Landscape: A Census Tract-Level Analysis in McLennan County, Texas.
المؤلفون:	Williamson JI; Department of Public Health, Baylor University, One Bear Place #97343, Waco, TX, 76798-7303, USA., Janda KM; Department of Public Health, Baylor University, One Bear Place #97343, Waco, TX, 76798-7303, USA., Jones SK; Department of Public Health, Baylor University, One Bear Place #97343, Waco, TX, 76798-7303, USA. stephanie_k_jones@baylor.edu.
المصدر:	Journal of community health [J Community Health] 2024 Apr; Vol. 49 (2), pp. 286-295. Date of Electronic Publication: 2023 Nov 06.
نوع المنشور:	Journal Article
اللغة:	English
بيانات الدورية:	Publisher: Springer Country of Publication: Netherlands NLM ID: 7600747 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-3610 (Electronic) Linking ISSN: 00945145 NLM ISO Abbreviation: J Community Health Subsets: MEDLINE
أسماء مطبوعة:	Publication: Amsterdam : Springer Original Publication: New York, Human Sciences Press.
مواضيع طبية MeSH:	Census Tract* , Cigarette Smoking*, Humans ; Texas/epidemiology ; Sociodemographic Factors ; Poverty
مستخلص:	Cigarette smoking significantly contributes to preventable illness, death, and economic costs. Despite overall reduction in national smoking rates, disparities persist between demographic groups and geographic regions. While some studies have explored urban-rural differences in smoking prevalence, gaps exist in understanding localized patterns. This study focuses on examining smoking rates and related factors at the census tract level in McLennan County, Texas, a county that contains a mixture of urban, peri-urban, and rural areas. This study uses census tract level aggregate sociodemographic, smoking, and health-related data from the American Community Survey and the PLACES Project City Health Dashboard. Geospatial analyses mapped co-occurrence of high prevalence of smoking, mental and physical distress, and co-occurrence of lower routine medical check-ups, household income, and education. Multiple linear regression modeled associations between smoking and sociodemographic, and health-related factors. Geospatial analyses identified census tracts with co-occurring high prevalence of smoking, mental and physical distress, and co-occurrence of lower routine medical check-ups, household income, and education level in McLennan County. Regression analyses identified that smoking rates were positively correlated with frequent physical distress (p < 0.0001) and negatively correlated with the proportion of routine medical check-ups (p < 0.0001) and the proportion living in poverty (p = 0.0002). This study found significant variations in smoking rates, physical and mental distress, medical check-ups, and sociodemographic factors between neighboring census tracts which geospatial analyses examining larger geographic units may have overlooked. Future research should focus on obtaining individual-level and community-level data to develop more targeted interventions sensitive to specific community contexts. (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
References:	Xu, X., Shrestha, S. S., Trivers, K. F., Neff, L., Armour, B. S., & King, B. A. (2021). U.S. healthcare spending attributable to cigarette smoking in 2014. Preventive Medicine, 150, 106529. https://doi.org/10.1016/j.ypmed.2021.106529. (PMID: 10.1016/j.ypmed.2021.10652933771566) Healthy People 2030. (n.d.). Tobacco Use. Retrieved February 23, 2023, from https://health.gov/healthypeople/objectives-and-data/browse-objectives/tobacco-use. Garrett, B. E., Dube, S. R., Babb, S., & McAfee, T. (2015). Addressing the social determinants of health to reduce tobacco-related disparities. Nicotine and Tobacco Research, 17(8), 892–897. https://doi.org/10.1093/ntr/ntu266. (PMID: 10.1093/ntr/ntu26625516538) Parker, M. A., Weinberger, A. H., Eggers, E. M., Parker, E. S., & Villanti, A. C. (2022). Trends in rural and urban cigarette smoking quit ratios in the US from 2010 to 2020. JAMA Network Open, 5(8), e2225326. https://doi.org/10.1001/jamanetworkopen.2022.25326. (PMID: 10.1001/jamanetworkopen.2022.25326359211129350718) Doogan, N. J., Roberts, M. E., Wewers, M. E., Stanton, C. A., Keith, D. R., Gaalema, D. E., Kurti, A. N., Redner, R., Cepeda-Benito, A., Bunn, J. Y., Lopez, A. A., & Higgins, S. T. (2017). A growing geographic disparity: Rural and urban cigarette smoking trends in the United States. Preventive medicine, 104, 79–85. https://doi.org/10.1016/j.ypmed.2017.03.011. (PMID: 10.1016/j.ypmed.2017.03.011283157615600673) Hoover, D. S., Vidrine, J. I., Shete, S., Spears, C. A., Cano, M. A., Correa-Fernández, V., Wetter, D. W., & McNeill, L. H. (2015). Health literacy, smoking, and health indicators in african american adults. Journal of Health Communication, 20(Suppl 2), 24–33. https://doi.org/10.1080/10810730.2015.1066465. (PMID: 10.1080/10810730.2015.106646526513028) Quisenberry, A. J., Scott, A. E., Shoben, A. B., Ferketich, A. K., Cooper, S. E., Berman, M., Peters, E., Wewers, M. E., & Klein, E. G. (2018). Health literacy and attention to cigarette health warning labels among rural smokers. Tobacco Regulatory Science, 4(6), 38. https://doi.org/10.18001/TRS.4.6.4. (PMID: 10.18001/TRS.4.6.4313634896667177) Coughlin, L. N., Bonar, E. E., Bohnert, K. M., Jannausch, M., Walton, M. A., Blow, F. C., & Ilgen, M. A. (2019). Changes in urban and rural cigarette smoking and cannabis use from 2007 to 2017 in adults in the United States. Drug and Alcohol Dependence, 205, 107699. https://doi.org/10.1016/j.drugalcdep.2019.107699. (PMID: 10.1016/j.drugalcdep.2019.107699317072656951810) Matthews, K. A., Croft, J. B., Liu, Y., Lu, H., Kanny, D., Wheaton, A. G., Cunningham, T. J., Khan, L. K., Caraballo, R. S., Holt, J. B., & Eke, P. I. (2017). Health-related behaviors by urban-rural county classification—United States, 2013. MMWR Surveillance Summaries, 66(5), 1. https://doi.org/10.15585/mmwr.ss6605a1. (PMID: 10.15585/mmwr.ss6605a15829834) Roberts, M. E., Doogan, N. J., Kurti, A. N., Redner, R., Gaalema, D. E., Stanton, C. A., White, T. J., & Higgins, S. T. (2016). Rural tobacco use across the United States: How rural and urban areas differ, broken down by census regions and divisions. Health and Place, 39, 153–159. https://doi.org/10.1016/j.healthplace.2016.04.001. (PMID: 10.1016/j.healthplace.2016.04.00127107746) Cromartie, J. B., & Swanson, L. L. (1996). Census tracts more precisely define rural populations and areas. Rural America Rural Development Perspectives, 11, 31–39. https://doi.org/10.22004/AG.ECON.289755. (PMID: 10.22004/AG.ECON.289755) Goldstein, N. (2017). Bringing census data into an epidemiological analysis. https://doi.org/10.17918/goldsteinepi. Bucholtz, S., Molfino, E., & Kolko, J. (2020). The Urbanization Perceptions Small Area Index: An application of machine learning and small area estimation to household survey data. US Department of Housing and Urban Development. [Google Search result]. Retrieved July 24, 2023, from https://www.google.com/search?client=safari&rls=en&q=Bucholtz%2C+S.%2C+Molfino%2C+E.%2C+%26+Kolko%2C+J.+(2020).+The+Urbanization+Perceptions+Small+Area+Index%3A+An+application+of+machine+learning+and+small+area+estimation+to+household+survey+data.%C2%A0US+Department+of+Housing+and+Urban+Development%3A+Washington%2C+DC%2C+USA.&ie=UTF-8&oe=UTF-8. HUD USER. (n.d.). Urban. Suburban. Rural. How Do Households Describe Where They Live? Retrieved July 24, 2023, from https://www.huduser.gov/portal/pdredge/pdr-edge-frm-asst-sec-080320.html. Mortoja, M. G., Yigitcanlar, T., & Mayere, S. (2020). What is the most suitable methodological approach to demarcate peri-urban areas? A systematic review of the literature. Land Use Policy, 95, 104601. https://doi.org/10.1016/j.landusepol.2020.104601. (PMID: 10.1016/j.landusepol.2020.104601) Rauws, W. S., & De Roo, G. (2011). Exploring transitions in the peri-urban area. Planning Theory and Practice, 12(2), 269–284. https://doi.org/10.1080/14649357.2011.581025. (PMID: 10.1080/14649357.2011.581025) United States Census Bureau. (2019). DP05: ACS Demographic and ... - Census Bureau Table. Retrieved June 18, 2023, from https://data.census.gov/table?q=mclennan+county,+texas+2019&tid=ACSDP5Y2019.DP05. US Census Bureau. (n.d.). Glossary. Census.gov. Retrieved June 18, 2023, from https://www.census.gov/programs-surveys/geography/about/glossary.html. City Health Dashboard. (n.d.). Retrieved August 20, 2023, from https://www.cityhealthdashboard.com/. United States Census Bureau. (n.d.). McLennan County - Census Bureau Search. Retrieved August 20, 2023, from https://data.census.gov/all?q=McLennan+county. Centers for Disease Control and Prevention. (2023). PLACES: Local Data for Better Health. Retrieved August 20, 2023, from https://www.cdc.gov/places/index.html. Centers for Disease Control and Prevention. (2023). Prevention Measure Definitions. Retrieved August 20, 2023, from https://www.cdc.gov/places/measure-definitions/prevention/index.html. Ditre, J. W., & Brandon, T. H. (2008). Pain as a motivator of smoking: Effects of pain induction on smoking urge and behavior. Journal of Abnormal Psychology, 117(2), 467–472. https://doi.org/10.1037/0021-843X.117.2.467. (PMID: 10.1037/0021-843X.117.2.467184892244391507) Ditre, J. W., Zale, E. L., Heckman, B. W., & Hendricks, P. S. (2017). A measure of perceived pain and tobacco smoking interrelations: Pilot validation of the Pain and Smoking Inventory. Cognitive and Behavioral Therapy, 46(4), 339–351. https://doi.org/10.1080/16506073.2016.1256347. (PMID: 10.1080/16506073.2016.1256347) Lee, M., Snow, J., Quon, C., Selander, K., DeRycke, E., Lawless, M., Driscoll, M., Ditre, J. W., Mattocks, K. M., Becker, W. C., & Bastian, L. A. (2021). I smoke to cope with pain: Patients’ perspectives on the link between cigarette smoking and pain. Wiener klinische Wochenschrift, 133(19–20), 1012–1019. https://doi.org/10.1007/s00508-021-01931-x. (PMID: 10.1007/s00508-021-01931-x34460005) Parkerson, H. A., Zvolensky, M. J., & Asmundson, G. J. G. (2013). Understanding the relationship between smoking and pain. Expert Review of Neurotherapeutics, 13(12), 1407–1414. https://doi.org/10.1586/14737175.2013.859524. (PMID: 10.1586/14737175.2013.85952424236905) Zvolensky, M. J., McMillan, K., Gonzalez, A., & Asmundson, G. J. G. (2009). Chronic pain and cigarette smoking and nicotine dependence among a representative sample of adults. Nicotine and Tobacco Research, 11(12), 1407–1414. https://doi.org/10.1093/ntr/ntp153. (PMID: 10.1093/ntr/ntp153198284322784489) Centers for Disease Control and Prevention. (2022). Health Effects of Smoking and Tobacco Use. Retrieved August 5, 2023, from https://www.cdc.gov/tobacco/basic_information/health_effects/index.htm. Goto, E., Ishikawa, H., Okuhara, T., & Kiuchi, T. (2019). Relationship of health literacy with utilization of health-care services in a general Japanese population. Preventive Medicine Reports, 14, 100811. https://doi.org/10.1016/j.pmedr.2019.01.015. (PMID: 10.1016/j.pmedr.2019.01.015308153326377410) Lee, H. Y., Kim, S., Neese, J., & Lee, M. H. (2021). Does health literacy affect the uptake of annual physical check-ups?: Results from the 2017 US health information national trends survey. Archives of Public Health, 79, 38. https://doi.org/10.1186/s13690-021-00556-w. (PMID: 10.1186/s13690-021-00556-w337366897977317) Feldman, P. J., & Steptoe, A. (2004). How neighborhoods and physical functioning are related: The roles of neighborhood socioeconomic status, perceived neighborhood strain, and individual health risk factors. Annals of Behavioral Medicine, 27(2), 91–99. https://doi.org/10.1207/s15324796abm2702_3. (PMID: 10.1207/s15324796abm2702_315026293) Li, M., Sonoda, N., Koh, C., Yasumoto, R., & Morimoto, A. (2022). Meta-analysis of the association between health literacy and smoking. Population Medicine, 4, 1–11. https://doi.org/10.18332/popmed/152572. (PMID: 10.18332/popmed/152572)
فهرسة مساهمة:	Keywords: Ecological; Geospatial epidemiology; Peri-urban; Smoking
تواريخ الأحداث:	Date Created: 20231106 Date Completed: 20240311 Latest Revision: 20240311
رمز التحديث:	20240311
DOI:	10.1007/s10900-023-01291-9
PMID:	37932627
قاعدة البيانات:	MEDLINE

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تدمد:	1573-3610
DOI:	10.1007/s10900-023-01291-9