Social Networks and Smoking in Rural Women: Intervention Implications
| Autor: | Douglas M. Post, Christopher R Browning, Julianna M. Nemeth, Mary Ellen Wewers, Valdis Krebs, Juan Peng, Bo Lu, Tiffany L Thomson, Electra D. Paskett, Amy K. Ferketich, Nathan J. Doogan |
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| Rok vydání: | 2016 |
| Předmět: |
Adult
Rural Population Health (social science) Adolescent Social Psychology Smoking Prevention Article Young Adult 03 medical and health sciences 0302 clinical medicine Risk Factors Surveys and Questionnaires Intervention (counseling) Humans Medicine 030212 general & internal medicine Socioeconomics Aged Aged 80 and over Social network business.industry Smoking Public Health Environmental and Occupational Health Smoking cessation intervention Social network analysis (criminology) Social Support Middle Aged Cross-Sectional Studies 030220 oncology & carcinogenesis Female Smoking status business Rural women Demography |
| Zdroj: | American Journal of Health Behavior. 40:405-415 |
| ISSN: | 1945-7359 1087-3244 |
| Popis: | OBJECTIVES We characterized the social network characteristics of women in Ohio Appalachia according to smoking status. METHODS Women ≥18 years of age were recruited from 3 Ohio Appalachian counties to complete a cross-sectional survey. Sociodemographic and smoking-related information was collected by face-to-face interview. A description of women's time (ie, spends time with) and advice (ie, gets support and advice) social network ties were obtained. An egocentric social network analysis was completed, according to the woman's smoking status. RESULTS Of the 408 women enrolled, 20.1% were current smokers. Time networks were larger (p < .001), more dense (p < .001), and more redundant (p < .001) than advice networks. Current smokers had a greater proportion of smoking ties in their networks compared to non-smokers (p < .001). Daily face-to-face contact with non-smoking ties was greater in time compared to advice networks (p < .001). Current smokers in advice networks tended to have less daily contact with non-smoking ties than non-smokers (p = .06). CONCLUSIONS Differences existed in characteristics of time versus advice egocentric networks. Smoking status was associated with these differences. Results will assist with future development of a network-based smoking cessation intervention. |
| Databáze: | OpenAIRE |
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