Background: Some previous studies have suggested that area-level characteristics have effects on smoking. The aim of this study was to evaluate the associations between household income and area income on smoking in Korean adults.
Methods: This study was based on the Korean Community Health Survey (KCHS) performed in South Korea, between September and November 2009. In total, 222,242 subjects (103,124 men and 119,118 women) were included in the analysis. Information on smoking status was collected using a standardized questionnaire. Income status was determined by monthly household income. Household income was categorized as: <1 million won; <2 million won; <3 million won; and ≥3 million won. Area-level income categorized as quartiles. Data were analyzed using multilevel regression models. The analysis was conducted separately urban and rural, by sex.
Results: The lowest household income group had a higher risk of smoking than the highest household income group in both urban and rural areas for both men and women after adjusting for individual characteristics (urban men: odds ration [OR], 1.44; 95% confidence interval [CI], 1.36-1.53; rural men: OR, 1.33; 95% CI, 1.25-1.42; urban women: OR, 2.38; 95% CI, 2.06-2.76; rural women: OR, 1.51; 95% CI, 1.25-1.83). In men, the lowest area-level income group had a higher risk for smoking than the highest area-level income group in urban areas after adjusting for individual characteristics and household income (OR, 1.17; 95% CI, 1.02-1.33). In women, the lowest area-level income group had a lower risk for smoking than the highest area-level income group in rural areas after adjusting for individual characteristics and household income (OR, 0.52; 95% CI, 0.39-0.70). However, no association was observed between area-level income and smoking in rural areas for men or in urban areas for women.
Conclusions: The results showed that smoking is strongly associated with household income status in both men and women, and area-level income is partly associated with smoking. Effects of area-level income on smoking differed by sex and region. These findings suggest that area characteristics have contextual effects on health related behavior independent of individual characteristics.
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http://dx.doi.org/10.1186/s12889-015-1365-6 | DOI Listing |
Nurs Open
January 2025
Department of Nursing, Zhongshan Hospital Xiamen University, Xiamen, China.
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Design: A cross-sectional study.
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Sci Rep
December 2024
Healthy Longevity Center, University of Zurich, Zurich, Switzerland.
Past research has demonstrated the association between social engagement and the maintenance of cognitive abilities. However, inconsistent definitions of social engagement have posed challenges to systematically investigate this association. This paper addresses the role of social relationships in cognitive functioning among older adults, focusing on the real-life communication indicator-length of own speech-as a measure of social activity.
View Article and Find Full Text PDFHealth Place
December 2024
University of South Carolina,United States.
Despite a large body of work on neighborhood effects on health, past studies are limited in their treatment of neighborhoods as largely static spaces with (dis)advantages based primarily on the average characteristics of their residents. In this study, we draw on the triple neighborhood disadvantage perspective to explore how socioeconomic disadvantage in a neighborhood's mobility network uniquely relates to children's overall health levels, independent of residential disadvantage. We investigate this by combining 2019 SafeGraph data on mobility patterns from roughly 40 million U.
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View Article and Find Full Text PDFJ Interpers Violence
December 2024
Tulane University, New Orleans, LA, USA.
Studies largely from high-income countries show that children exposed to intimate partner violence (IPV) face potential adverse health and developmental outcomes. Limited research has focused on whether IPV exposure affects children's early education participation, particularly in low- and middle-income countries where early education is gaining traction. This study examines whether young children aged 3 to 5 years, living in households affected by IPV, are less likely to be enrolled in school using nationally representative data from India.
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