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ABSTRACT: This study suggests a multivariate-structural approach combining factor analysis and cluster analysis that could be used to
examine neighborhood effects on an individual’s health. Data were from the Taiwan Social Change Survey conducted in 1990,
1995, and 2000. In total, 5,784 women and men aged over 20years living in 428 neighborhoods were interviewed. Participants’
addresses were geocoded with census data for measuring neighborhood-level characteristics. The factor analysis was applied
to identify neighborhood dimensions, which were used as entities in the cluster analysis to generate a neighborhood typology.
The factor analysis generated three neighborhood dimensions: neighborhood education, age structure, and neighborhood family
structure and employment. The cluster analysis generated six types of neighborhoods with combinations of the three neighborhood
dimensions. Multilevel binomial regression models were used to assess the effects of neighborhoods on an individual’s health.
The results showed that the biggest health differences were between two neighborhood types: (1) the highest concentration
of inhabitants younger than 15years, a moderate education level, and a moderate level of single-parent families and (2) the
highest educational level, a median level of single-parent families, and a median level of elderly concentrations. Individuals
living in the first type had significantly higher chances of having functional limitations and poor self-rated health than
the individuals in the second neighborhood type. Our study suggests that the multivariate-structural approach improves neighborhood
measurements by addressing neighborhood diversity and examining how an individual’s health varies in different neighborhood
contexts.
Journal of Urban Health 04/2012; 86(1):5-18. · 2.13 Impact Factor
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ABSTRACT: This longitudinal study builds on the cross-sectional work of Karim et al and examines the influence of welfare state regime on population health with a particular focus on East Asian welfare states (eg, Hong Kong, Japan, Korea, Singapore and Taiwan).
Data were extracted from the Organisation of Economic Co-operation and Development Data Set, World Development Indicators and Asian Development Bank's key indicators from 1980 to 2006. Infant mortalities and life expectancy were used as health-outcome varables. Thirty-one countries were categorised into six types of welfare regimes: Scandinavian, Anglo-Saxon, Bismarckian, Southern, Eastern European and East Asian. Mixed models were applied to analyse the data with repeated measurements.
In keeping with Karim et al, Scandinavian and Eastern European welfare states have lower and higher infant mortalities respectively compared with East Asian welfare states. Eastern European welfare states had a lower life expectancy than East Asian welfare states. Most welfare states had a higher social, health and education expenditure, and higher densities of physicians than East Asian welfare states.
East Asian welfare states did not have worse health than most welfare states. Future studies should continue to incorporate East Asian countries in the typology of welfare regimes that include more social, economic, political and healthcare system characteristic variables to provide insight on the mechanism by which welfare-state regimes influence population health.
Journal of epidemiology and community health 08/2011; 66(7):e23. · 3.04 Impact Factor
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ABSTRACT: This study was conducted to evaluate the effects of transported Asian dust and other environmental parameters on the levels and compositions of ambient fungi in the atmosphere of northern Taiwan. We monitored Asian dust events in Taipei County, Taiwan from January 2003 to June 2004. We used duplicate Burkard portable air samplers to collect ambient fungi before, during, and after dust events. Six transported Asian dust events were monitored during the study period. Elevated concentrations of Aspergillus (A. niger, specifically), Coelomycetes, Rhinocladiella, Sporothrix and Verticillium were noted (p < 0.05) during Asian dust periods. Botryosporium and Trichothecium were only recovered during dust event days. Multiple regression analysis showed that fungal levels were positively associated with temperature, wind speed, rainfall, non-methane hydrocarbons and particulates with aerodynamic diameters ≤10 μm (PM(10)), and negatively correlated with relative humidity and ozone. Our results demonstrated that Asian dust events affected ambient fungal concentrations and compositions in northern Taiwan. Ambient fungi also had complex dynamics with air pollutants and meteorological factors. Future studies should explore the health impacts of ambient fungi during Asian dust events, adjusting for the synergistic/antagonistic effects of weather and air pollutants.
International Journal of Bioclimatology Biometeorology 02/2011; 56(2):211-9. · 2.25 Impact Factor
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ABSTRACT: This study examined the relationships of adolescents' perceptions of parental and peer behaviors with cigarette and alcohol use in different neighborhood contexts. The sample included 924 adolescents (49% boys, 51% girls) 12-14 years of age whose addresses were matched with 1990 census block groups. Six neighborhood types were identified through a cluster analysis. The findings suggest that parental smoking was associated with increased adolescent smoking in suburban white middle socioeconomic status (SES) neighborhoods. Peer smoking was associated with increased adolescent smoking in rural neighborhoods. Parental monitoring was associated with decreased adolescent drinking in urban white high-SES neighborhoods and parental drinking was associated with increased adolescent drinking in urban white middle-SES neighborhoods, respectively. Peer drinking was associated with increased adolescent drinking in urban neighborhoods. This study demonstrates the importance of examining parental and peer influences on adolescent smoking and drinking in different neighborhood contexts.
Journal of Youth and Adolescence 11/2009; 38(10):1388-98. · 2.72 Impact Factor
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ABSTRACT: This study suggests a multivariate-structural approach combining factor analysis and cluster analysis that could be used to examine neighborhood effects on an individual's health. Data were from the Taiwan Social Change Survey conducted in 1990, 1995, and 2000. In total, 5,784 women and men aged over 20 years living in 428 neighborhoods were interviewed. Participants' addresses were geocoded with census data for measuring neighborhood-level characteristics. The factor analysis was applied to identify neighborhood dimensions, which were used as entities in the cluster analysis to generate a neighborhood typology. The factor analysis generated three neighborhood dimensions: neighborhood education, age structure, and neighborhood family structure and employment. The cluster analysis generated six types of neighborhoods with combinations of the three neighborhood dimensions. Multilevel binomial regression models were used to assess the effects of neighborhoods on an individual's health. The results showed that the biggest health differences were between two neighborhood types: (1) the highest concentration of inhabitants younger than 15 years, a moderate education level, and a moderate level of single-parent families and (2) the highest educational level, a median level of single-parent families, and a median level of elderly concentrations. Individuals living in the first type had significantly higher chances of having functional limitations and poor self-rated health than the individuals in the second neighborhood type. Our study suggests that the multivariate-structural approach improves neighborhood measurements by addressing neighborhood diversity and examining how an individual's health varies in different neighborhood contexts.
Journal of Urban Health 01/2009; 86(1):5-18. · 2.13 Impact Factor
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ABSTRACT: Despite the concept of social capital receiving great attention in the area of health research, few studies have analyzed the differential effects of social capital between genders. This article assesses gender differences in the relationships between social capital and smoking and drinking behavior in Taiwan. Data on individual sociodemographic characteristics, smoking, drinking, and social capital were obtained from the Taiwan Social Change Survey conducted in 1995 and in 2000. The overall response rate was 67%. In total, 3713 women and men aged over 20 years living in 204 neighborhoods were interviewed. Social capital indicators were aggregated at the neighborhood level, and included neighborhood closeness, political influence, social contact, social trust, and social participation. The data were analyzed with multilevel binomial regression models. Gender differences were found in some aspects of social capital. Stronger effects of social trust on smoking were found for women than for men, whereas stronger effects of neighborhood closeness on drinking were found for women than for men. Social participation was positively associated with drinking in both genders. The findings of this study provide new evidence for the differential effects of social capital by gender in Taiwan, suggesting that more studies are needed to understand social capital's effects in Asian societies and the mechanisms by which the effects may vary with gender.
Social Science [?] Medicine 11/2008; 67(8):1321-30. · 2.70 Impact Factor
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ABSTRACT: Inequality in health has long been a topic of discussion. The purpose of this research was to provide estimates of the proportions of elderly who had difficulties in activities of daily living in each of the 23 administrative areas of Taiwan, and to assess if there was geographical disparity in disability across areas. A nationally representative sample of 303,545 subjects was selected for interview. Among the subjects selected for interview, 239,861 completed the survey, a completion rate of about 80%. For the purpose of this research, only those aged 65 years or older were included (N = 114,873) in the analyses. Non-standardized and standardized prevalences of disability were presented for each of the 23 administrative areas in Taiwan, and geographical distribution of elderly disability was plotted. Results show that significant difference in disability prevalence exists among administrative districts, even after adjusting for age and sex structure of the population. Moreover, the extent of gender disparity also varied from one area to another. The western region, in general, had lower disability prevalence than the eastern region. Findings imply that since disability prevalence varied significantly across administrative areas, funding for long-term care should not be allocated based on the number of elderly population in an administrative area. Areas with high prevalence should identify reasons for their high prevalence rates and implement proper interventions.
The journal of nursing research: JNR 04/2008; 16(1):47-54. · 0.69 Impact Factor
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ABSTRACT: We assessed direct effects of neighborhood-level characteristics and interactive effects of neighborhood-level characteristics and individual socioeconomic position on adult smoking and drinking, after consideration of individual-level characteristics in Taiwan.
Data on individual sociodemographic characteristics, smoking, and drinking were obtained from Taiwan Social Change Survey conducted in 1990, 1995, and 2000. The overall response rate was 67%. A total of 5883 women and men aged over 20 living in 434 neighborhoods were interviewed. Participants' addresses were geocoded and linked with Taiwan census data for measuring neighborhood-level characteristics including neighborhood education, neighborhood concentration of elderly people, and neighborhood social disorganization. The data were analyzed with multilevel binomial regression models.
Several interaction effects between neighborhood characteristics and individual socioeconomic status (SES) were found in multilevel analyses. Our results indicated that different neighborhood characteristics led to different interaction patterns. For example, neighborhood education had a positive effect on smoking for low SES women, in contrast to a negative effect on smoking for high SES women. This result supports the hypothesis of "relative deprivation," suggesting that poor people living in affluent neighborhoods suffer from relative deprivation and relative standing. On the other hand, neighborhood social disorganization has positive effects on drinking for low SES individuals, but not for high SES individuals. These interactive effects support the hypothesis of the double jeopardy theory, suggesting that living in neighborhoods with high social disorganization will intensify the effects of individual low SES.
The findings of this study show new evidence for the effects of neighborhood characteristics on individual smoking and drinking in Taiwan, suggesting that more studies are needed to understand neighborhood effects in Asian societies.
BMC Public Health 02/2007; 7:151. · 2.00 Impact Factor
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ABSTRACT: To assess the effects of neighbourhood level socioeconomic status (SES) and convenience store concentration on individual level smoking, after consideration of individual level characteristics.
Individual sociodemographic characteristics and smoking were obtained from five cross sectional surveys (1979-1990). Participants' addresses were geocoded and linked with census data for measuring neighbourhood SES and with telephone yellow page listings for measuring convenience store concentration (density in a neighbourhood, distance between a participant's home and the nearest convenience store, and number of convenience stores within a one mile radius of a participant's home). The data were analysed with multilevel Poisson regression models.
82 neighbourhoods in four northern California cities.
8121 women and men aged 25-74 from the Stanford heart disease prevention programme.
Lower neighbourhood SES and higher convenience store concentration, measured by density and distance, were both significantly associated with higher level of individual smoking after taking individual characteristics into account. The association between convenience store density and individual smoking was modified by individual SES and neighbourhood SES.
These findings are consistent with a growing body of literature suggesting that the socioeconomic and physical environments of neighbourhoods are associated with individual level smoking.
Journal of Epidemiology & Community Health 08/2005; 59(7):568-73. · 3.19 Impact Factor
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ABSTRACT: The influence of neighborhoods on adolescent behaviors has received increasing research attention. In the present study, we use structural equation models to specify pathways from neighborhoods to adolescent cigarette and alcohol use through parental closeness, parental monitoring, parent substance use, and peer substance use. We use a national sample with 959 adolescents 12 to 14 years of age whose residential addresses were matched with 1990 Census tracts to provide neighborhood characteristics. We found that for adolescent cigarette use low socioeconomic status (SES) neighborhoods were associated with increased parental monitoring, which was further associated with decreased adolescent cigarette use. For adolescent alcohol use, high SES neighborhoods were associated with increased parent drinking, which was further associated with increased adolescent alcohol use. Low SES neighborhoods were associated with increased parental monitoring and increased peer drinking, which were in turn associated with decreased and increased adolescent alcohol use, respectively.
Journal of Health and Social Behavior 07/2005; 46(2):187-204. · 2.72 Impact Factor
