Urban Form,Heart Disease,and Geography: A Case Study in Composite Index Formation and Bayesian Spatial Modeling

Recent studies indicate a relationship between measures of urban form as applied to urban and suburban areas, and obesity, a risk factor for heart disease. Measures of urban form for exurban and rural areas are considerably scarce; such measures could prove useful in measuring relationships between urban form and both mortality and morbidity in such areas. In modeling area-level mortality, geographic relationships between counties warrant consideration because geographically adjacent areas tend to have more in common than areas farther from each other. We modify county-level indices of urban form found in the literature so that they can be applied to exurban and rural counties. We then use these indices in a Bayesian spatial model that accounts for spatial autocorrelation to determine if there is a relationship between such measures and cardiovascular disease mortality for white males age 35 and older for the time period 1999–2001. Issues related to the formation and usefulness of the indices, and issues related to the spatial model, are discussed. Maps of observed and expected relative risk of mortality are presented. Jimmie Givens retired from his service.     

Polygynous Contexts,Family Structure,and Infant Mortality in Sub-Saharan Africa

Contextual characteristics influence infant mortality above and beyond family-level factors. The widespread practice of polygyny is one feature of many sub-Saharan African contexts that may be relevant to understanding patterns of infant mortality. Building on evidence that the prevalence of polygyny reflects broader economic, social, and cultural features and that it has implications for how families engage in the practice, we investigate whether and how the prevalence of polygyny (1) spills over to elevate infant mortality for all families, and (2) conditions the survival disadvantage for children living in polygynous families (i.e., compared with monogamous families). We use data from Demographic and Health Surveys to estimate multilevel hazard models that identify associations between infant mortality and region-level prevalence of polygyny for 236,336 children in 260 subnational regions across 29 sub-Saharan African countries. We find little evidence that the prevalence of polygyny influences mortality for infants in nonpolygynous households net of region-level socioeconomic factors and gender inequality. However, the prevalence of polygyny significantly amplifies the survival disadvantage for infants in polygynous families. Our findings demonstrate that considering the broader marital context reveals important insights into the relationship between family structure and child well-being.     

Fertility and development: evidence from Brazil

Using microdata from the Brazilian demographic censuses of 1960, 1970, 1980, and 1991, aggregated into 518 consistently defined spatial units called microregions, we estimated fertility and mortality and constructed indicators of development and living conditions in the rural and urban areas of the microregions in each census. We then estimated cross-sectional and fixed-effects models to answer questions about the degree to which changes in these indicators are associated with changes in fertility and whether the relationship between fertility and development shifts through time. We found strong and consistent relationships between the decline in fertility and measurable changes in social and economic circumstances.     

Social,behavioral, and biological factors,and sex differences in mortality

Few studies have examined whether sex differences in mortality are associated with different distributions of risk factors or result from the unique relationships between risk factors and mortality for men and women. We extend previous research by systematically testing a variety of factors, including health behaviors, social ties, socioeconomic status, and biological indicators of health. We employ the National Health and Nutritional Examination Survey III Linked Mortality File and use Cox proportional hazards models to examine sex differences in adult mortality in the United States. Our findings document that social and behavioral characteristics are key factors related to the sex gap in mortality. Once we control for women’s lower levels of marriage, poverty, and exercise, the sex gap in mortality widens; and once we control for women’s greater propensity to visit with friends and relatives, attend religious services, and abstain from smoking, the sex gap in mortality narrows. Biological factors—including indicators of inflammation and cardiovascular risk—also inform sex differences in mortality. Nevertheless, persistent sex differences in mortality remain: compared with women, men have 30% to 83% higher risks of death over the follow-up period, depending on the covariates included in the model. Although the prevalence ofriskfactors differs by sex, the impact of those riskfactors on mortality is similar for men and women.     

Gender and the Politics of Death: Female Representation,Political and Developmental Context,and Population Health in a Cross-National Panel

There is considerable speculation that female political empowerment could improve population health. Yet, evidence to date is limited, and explanations for why political empowerment would matter and the conditions under which this might be enhanced or muted are not well understood. In this article, we draw on theoretical work on the politics of representation to frame an investigation of whether increases in the percentage of females in a country’s parliament influence mortality rates. We further examine whether the relationship is conditioned by extent of democracy and economic and social development. Through multivariate longitudinal regression, we analyze four indicators of mortality in 155 countries spanning 1990 to 2014 with controls for initial country conditions, time-stable structural predispositions to higher mortality, and a number of time-varying potential confounders. Results indicate that a high level of female representation—30 % or greater in our models—has large negative associations with mortality, that these are particularly strong in lesser developed and weak democratic contexts, that high female political representation effectively offsets liabilities associated with low development, and that the relationships are robust to various operationalizations of social development. In the end, our research provides a particularly thorough accounting of the relationship between female political representation and population health, particularly by specifying the conditions under which female representation is most salient. In doing so, the research suggests important links between issues of female empowerment, political context, and developmental trajectories of countries more generally.     

The Use of Common Area <Emphasis Type="Italic">k</Emphasis>-Sample Test in Evaluating Targeting Methodologies: An Application to the Case of Egypt

The quality of life (QOL) is a measure of social wellbeing and life satisfaction of individuals in an area. Measuring its spatial dynamics is of great significance as it can assist the policy makers and practitioners in improving the balance between urbanization and living environment. This study proposes an approach to spatially map and examine the relationships between QOL, land use/land cover (LULC) and population density in an urban environment. The city of Lahore, Pakistan was selected as the case study area. The QOL was evaluated through the data related to physical health, psychological, social relationships, environment (natural and built), economic condition and development, and access to facilities and services. The weights/relative importance of each QOL domain was determined through the analytic hierarchy process by processing the data collected from local field experts. Overall QOL was computed by applying the domain weights to the data; spatial mapping of QOL domains and overall QOL was conducted afterwards. The spatial dynamics of QOL were examined, and its interrelationships with LULC and population density were analyzed. The relationship between these three variables turned out to be spatially dynamic. The proposed approach assists the spatial mapping and analyses of QOL, LULC and population, and by examining the spatial dynamics of these variables, contributes to devising appropriate land management and QOL improvement strategies and policies in the metropolitan regions.     

Area Social Deprivation and Public Health: Analyzing the Spatial Non-stationary Associations Using Geographically Weighed Regression

The prevalence of non-communicable chronic diseases (NCDs) worldwide poses an alarming threat to public health. Recent literature has embraced the opinion that incorporating the social factors should advance the understanding of NCDs prevalence. In this context, examining the NCDs prevalence in association with area social deprivation should provide critical implications for coping with public health risks. However, few empirical studies have examined this specific issue, especially in the developing countries. Using the principal component analysis, an area social deprivation index (ASDI) is established for the Shenzhen city (China) by integrating ten indicators from four dimensions: education, housing, socially disadvantaged population, and economically disadvantaged population. The geographically weighted regression (GWR) is employed to analyze the associations between ASDI and the incidence rate of three prevalent NCDs at district scale. Spatial non-stationary relationships are identified for the three diseases. More specifically, prevalence of the three diseases is all positively correlated with the ASDI. Strength of the associations presents the geography that it generally decreases from the central city to the suburb. These findings suggest that greater possibility of NCDs prevalence would be expected in districts with higher social deprivation. Besides, the impact of social deprivation on NCDs prevalence is much stronger in the central city. The spatial stationarity can facilitate the formulation of location-specific preventive measurements. This paper is believed to provide an innovative insight for social indicators research.     

Why Is Infant Mortality Higher in Boys Than in Girls? A New Hypothesis Based on Preconception Environment and Evidence From a Large Sample of Twins

Infant mortality is higher in boys than girls in most parts of the world. This has been explained by sex differences in genetic and biological makeup, with boys being biologically weaker and more susceptible to diseases and premature death. At the same time, recent studies have found that numerous preconception or prenatal environmental factors affect the probability of a baby being conceived male or female. I propose that these environmental factors also explain sex differences in mortality. I contribute a new methodology of distinguishing between child biology and preconception environment by comparing male-female differences in mortality across opposite-sex twins, same-sex twins, and all twins. Using a large sample of twins from sub-Saharan Africa, I find that both preconception environment and child biology increase the mortality of male infants, but the effect of biology is substantially smaller than the literature suggests. I also estimate the interacting effects of biology with some intrauterine and external environmental factors, including birth order within a twin pair, social status, and climate. I find that a twin is more likely to be male if he is the firstborn, born to an educated mother, or born in certain climatic conditions. Male firstborns are more likely to survive than female firstborns, but only during the neonatal period. Finally, mortality is not affected by the interactions between biology and climate or between biology and social status.     

Temporal and spatial variation in age-specific net migration in the United States

As fertility differences in the United States diminish, population redistribution trends are increasingly dependent on migration. This research used newly developed county-level age-specific net migration estimates for the 1990s, supplemented with longitudinal age-specific migration data spanning the prior 40 years, to ascertain whether there are clear longitudinal trends in age-specific net migration and to determine if there is spatial clustering in the migration patterns. The analysis confirmed the continuation into the 1990s of distinct net migration "signature patterns" for most types of counties, although there was temporal variation in the overall volume of migration across the five decades. A spatial autocorrelation analysis revealed large, geographically contiguous regions of net in-migration (in particular, Florida and the Southwest) and geographically contiguous regions of net out-migration (the Great Plains, in particular) that persisted over time. Yet the patterns of spatial concentration and fragmentation over time in these migration data demonstrate the relevance of this "neighborhood" approach to understanding spatiotemporal change in migration.     

Exploratory Analysis of Spatial Patterns in Brazil’s Fertility Transition

We use census data to investigate fertility change across more than 500 Brazilian microregions during 1970–2000, before and after controlling for local covariates. We use semivariograms to analyze spatial patterns, in order to investigate the importance of diffusion or social interaction in the spread of fertility transition across a map. Our analysis shows that spatial patterns in Brazilian fertility change are strongly related to spatial patterns in measurable local conditions such as electrification, child mortality, and female education. Differences in local conditions are particularly good at explaining spatial correlations at distances >500 km. At shorter distances, there remains some unexplained spatial correlation in fertility change that could be attributed to diffusion or social interaction.     

The Impact of Social and Economic Indicators on Maternal and Child Health

As early as 1985, Rosenfield and Maine began to look at what is called the maternal child field (MCH). More than two decades later, maternal and infant mortality is still among the worst performing health indicator in resource-poor countries and regions, and it has barely changed since 1990. Although three of the eight United Nations Millennium Development Goals aim at reducing child mortality, maternal mortality, and promoting gender equality, most literature in the field is either clinical or exclusively deals with women’s health problems. In this study, I proposed an empirical model that tests the impact of gender equality, women’s human rights, and maternity care on MCH with economic and political development as background factors. The proposed model was tested by using structural equation analysis. Data were obtained from 137 developing countries. The proposed model is partially supported by the data. Empirical findings demonstrate that gender equality has a pivotal role to play in the promotion of MCH. The relationship between MCH and maternity care is found to be strong and statistically significant. This finding may permit a probable verification given the current social conditions in some developing countries, particularly the neglect of many of women’s health needs and the assignment of their primary responsibilities in childrearing. The women’s human rights hypothesis is not supported by the data. It is perhaps that human rights instruments provide a legal discourse for political functions and social welfare issues, but that the legal approach alone does not necessarily provide a moral and social foundation to ensure the implementation of social welfare and human well-being, particularly maternal and child health in developing countries. The findings also indicate the importance of economic development in predicting maternity care. Finally, a positive and statistically significant relationship is found between economic development and gender equality. Implications and limitations of the study are discussed.     

Multinational Corporations,Democracy and Child Mortality: A Quantitative,Cross-National Analysis of Developing Countries

This study presents quantitative, sociological models designed to account for cross-national variation in child mortality. We consider variables linked to five different theoretical perspectives that include the economic modernization, social modernization, political modernization, ecological-evolutionary, and dependency perspectives. The study is based on a cross-lagged effects regression analysis of a sample of 59 developing countries. Our preliminary analysis based on additive models replicates prior studies to the extent that we find that indicators linked to economic and social modernization have beneficial effects on child mortality. We also find support for hypotheses derived from the dependency perspective suggesting that multinational corporate penetration fosters higher levels of child mortality. Subsequent analysis incorporating interaction effects suggest that the level of political democracy conditions the effects of dependency relationships based upon multinational corporations. Transnational economic linkages associated with multinational corporations adversely affect child mortality more strongly at lower levels of democracy than at higher levels of democracy–that is intranational, political factors interact with the international, economic forces to affect child mortality. We conclude with some brief policy recommendations and suggestions for the direction of future research.     

Predictors of satisfaction with housing and neighbourhood: A nationwide study in the Republic of Ireland

The present paper reports results from a nationwide study, based on a representative sample in the Republic of Ireland. It is part of a harmonised study of subjective social indicators which has been carried out in eight member countries of the European Community. The data, which were obtained by survey techniques, are largely subjective or perceptual in nature. However, objective data were also obtained, thus permitting direct comparisons, in many cases, between objective conditions and subjective measures related to housing and neighbourhood to determine which characteristics were most highly predictive of overall satisfaction with housing and overall satisfaction with neighbourhood. In addition, the relationships between housing and neighbourhood variables and more global attitudinal variables (i.e., life satisfaction and anomia) were explored.     

Education and Life Satisfaction in Relation to the Probability of Social Trust: a Conceptual Framework and Empirical Analysis

We employ cross-sectional microdata from 2010 through 2012 collected by the Italian National Institute of Statistics to investigate the proposed conceptual framework regarding the joint relationship between education, life satisfaction and the probability of social trust. The analysis has been carried out using two alternative specifications of the logit model: parametric and semiparametric. Our findings suggest that (a) both modelling methods that we utilise yield consistent results in terms of the positive effects of education and life satisfaction on social trust; (b) for unsatisfied individuals, social trust is generally low and largely unresponsive to the individual’s education level, whereas for ‘sufficiently satisfied’ individuals, social trust increases strongly with education; (c) there are some gender differences in the joint relationship between education, life satisfaction and social trust and (d) the parametric approach tends to mask some interesting patterns that are captured by the semiparametric specification. This finding implies that the parametric approach leads to a biased interpretation of the results, with an apparent failure of some of the assumptions made in the conceptual framework.     

Social indicators of living conditions in Ireland with European comparisons

This monograph presents data from a nationwide survey of social indicators of living conditions in Ireland. This survey was part of a European Community (EC)-harmonised survey of subjective social indicators carried out in eight EC countries. The survey, the first of two, focussed on people's perceptions of their health, health services, housing, neighbourhood and life in general. Extensive analysis is made of the demographic determinants of a wide range of subjective measures of well-being in all of these life domains. Examination is also made of the predictors of global measures of well-being. Data are presented for Ireland and multi-nation comparative data are also presented throughout. Emphasis is placed on the relationship between objective and subjective social indicators.     

The impact of class,education, and health care on infant mortality in a developing society: The case of rural Thailand

Demographic and social factors affecting infant mortality in rural northern Thailand are examined using log-linear modifiedmultiple regression models and data drawn from a representative sample of married couples in Chiang Mai and Chiang Rai provinces. Demographic factors do not account for the effects of variations in parental ability or willingness to provide adequate infant care. The final model estimated incorporated both these social dimensions of child care. Parental ability, measured by father’s social class, mother’s health information, and local community development levels, continued to have significant independent effects upon infant survival. Parental willingness, measured by parent’s beliefs about intergenerational wealth transfers, no longer had a significant effect net of other social variables, but infant survival was still affected by whether both parents wanted a birth.     

Age at Arrival and Life Chances Among Childhood Immigrants

This study examines the causal relationship between childhood immigrants’ age at arrival and their life chances as adults. I analyze panel data on siblings from Norwegian administrative registries, which enables me to disentangle the effect of age at arrival on adult socioeconomic outcomes from all fixed family-level conditions and endowments shared by siblings. Results from sibling fixed-effects models reveal a progressively stronger adverse influence of immigration at later stages of childhood on completed education, employment, adult earnings, occupational attainment, and social welfare assistance. The persistence of these relationships within families indicates that experiences related to the timing of childhood immigration have causal effects on later-life outcomes. These age-at-arrival effects are considerably stronger among children who arrive from geographically distant and economically less-developed origin regions than among children originating from developed countries. The age-at-arrival effects vary less by parental education and child gender. On the whole, the findings indicate that childhood immigration after an early-life formative period tends to constrain later human capital formation and economic opportunities over the life course.     

Family Structure and Self-Rated Health in Adolescence and Young Adulthood

While the relationship between family structure and child well-being is well-established, little is known about the specific impact of family structure on health in adolescence and young adulthood. Using data on 12,737 respondents from Waves I and III of Add Health, we examine the association between family structure (two biological/adoptive, stepfather, and single mother families at Wave I) and self-rated health in adolescence (Wave I) and young adulthood (Wave III). We build on previous literature by investigating whether the relationship between family structure and self-rated health is mediated by demographic background, socioeconomic status, parent–child relationships, external social support, and health characteristics and behaviors, and whether the influence of these factors endures into adulthood. Overall, we find that self-rated health is reduced for respondents who lived in stepfather or single mother families during adolescence, although this effect is attenuated in young adulthood. Family structure effects at both waves are explained by socioeconomic status, social support and competence, and health characteristics and behaviors. We find little evidence that demographic background or mother–child relationships mediate the relationship between family structure and self-rated health. By young adulthood, effects of most adolescent predictors are attenuated, but health assessments are largely influenced by changes in health characteristics and behaviors, and in family type.

Playground Accessibility and Neighbourhood Social Interaction Among Parents

While the positive association between social interaction and access to green space is well accepted, little research has sought to understand the role of children??s playgrounds in facilitating social interaction within a community. Playgrounds are spaces designed to facilitate play and the interaction of children, but may also be important places of interaction between parents. In this paper we examine how access to playground spaces is related to social interaction between parents. We use two measures of accessibility (1) walking distance to the closest playground and (2) playground service area, a measure of the number of potential users of a playground based on population density. We use generalized estimating equations, an extension of generalized linear models, to control for the confounding effects of socio-economic status (income, education), neighbourhood dynamics (neighbourhood location, years in neighbourhood) and free time (daily outdoor activity, marital status, number of children) on the independent relationship between social interaction and access to playground spaces. Our results suggest that while accessibility to playgrounds is associated with social interaction among parents, the direction of the effect is opposite to existing literature on green space and social interaction; parents with low accessibility to playgrounds are more likely to interact socially with their neighbours than parents with high accessibility. Our results suggest a pattern of spatial behaviour in which the burden of poor access to some resources may actually encourage greater neighbourhood engagement. Future research studying the relationship between health and green space may benefit from studying the specific role of playground spaces.     

Knowledge Sharing and Life Satisfaction: The Roles of Colleague Relationships and Gender

This study is the first to test the impact of knowledge sharing on life satisfaction. Based on social exchange theory, social capital theory, and self-determination theory, we tested a mediation pathway through which knowledge sharing affects life satisfaction via its influence on perceived quality of relationships with colleagues. Drawing on social role theory, we also examined the moderating role of gender on the relation between colleague relationship and life satisfaction. While social capital theory and self-determination theory suggest that quality colleague relationships have a positive impact on life satisfaction, social role theory suggests that the strength of this relationship varies on the basis of gender. Data collected from 246 full-time workers supported the mediation path, even when job satisfaction was controlled. While gender moderated the effect of colleague relationships on life satisfaction, the moderated mediation effect of knowledge sharing on life satisfaction was not supported. Our results suggest that knowledge sharing, as an important work behavior, not only promotes effective work-related outcomes but also has a positive impact on individuals’ subjective well-being. Theoretical implications are discussed.