Waterborne Disease‐Related Risk Perceptions in the Sonora River Basin,Mexico

Waterborne disease is estimated to cause about 10% of all diseases worldwide. However, related risk perceptions are not well understood, particularly in the developing world where waterborne disease is an enormous problem. We focus on understanding risk perceptions related to these issues in a region within northern Mexico. Our findings show how waterborne disease problems and solutions are understood in eight small communities along a highly contaminated river system. We found major differences in risk perceptions between health professionals, government officials, and lay citizens. Health professionals believed that a high level of human‐waste‐related risk existed within the region. Few officials and lay citizens shared this belief. In addition, few officials and lay citizens were aware of poor wastewater‐management‐related disease outbreaks and water contamination. Finally, aside from health professionals, a few interviewees understood the importance of basic hygiene and water treatment measures that could help to prevent disease. Our results add to the literature on environmentally‐related risk perceptions in the developing world. We discuss recommendations for improving future human‐wastewater‐related risk communication within the region.     

Symbolic Interactionism and Ethnomethodology

Symbolic interactionism and ethnomethodology, while apparently similar in topic and approach, are radically different sociological perspectives. Garfinkel's notion of a plenum is used to illustrate this difference with regard to their approaches to the concept of interaction. Ethnomethodology's rejection of the concepts of actor and context, and its different treatment of meaning, are contrasted with symbolic interactionism's terms of reference.     

Collective Self-Esteem and Coping Strategies among Vietnamese American Adolescents

This article reports on the “social empathy attitudes” results that were part of a larger study on empathy in college students at a large research university in the Southwest. Two hundred ninety-four students completed the Social Empathy Assessment Index (SEAI). The research hypothesis was that students of color would have higher levels of social empathy attitudes than Caucasian students. The statistically significant SEAI items suggested that Latino students identify as more collectivist and more optimistic and have higher levels of social empathy attitudes. Latinos may be more willing to help a stranger than either Caucasians or members of other racial groups.     

Crime,antisocial personality and pathological gambling

To investigate the hypothesized causal relationship between pathological gambling and gambling-related illegal behaviors, 77 patients seeking behavioral treatment for excessive gambling and 32 members of Gamblers Anonymous were administered a structured interview schedule. Data on the incidence, nature and extent of both gambling and non-gambling related illegal behaviors was obtained and DSM-III (A.P.A., 1980) criteria for Antisocial personality were used as the measure of sociopathy.Of the sample, 54.1% admitted to a gambling related offense and 21.1% were charged. Results showed that 14.6% met DSM-III criteria for Antisocial Personality, Four subgroups were subsequently identified; gamblers who committed no offense (36.7%), gambling only offenses (40.4%), non-gambling only offenses (9.2%) or both gambling and non-gambling offenses (13.7%). Significantly more subjects from the gambling plus non-gambling related offenses subgroup were classified as antisocial personalities.Of pathological gamblers who committed offenses, two thirds reportedly did so as a direct consequence of gambling induced problems. Subjects reporting gambling-only related offenses showed a significant increase in antisocial features after adolescence suggesting that antisocial features emerge as a secondary phenomenon to pathological gambling behavior patterns.Acknowledgments: This study was made possible by a grant from the Criminology Research Council, Australian Institute of Criminology.     

Polygyny and reproductive behavior in sub-saharan Africa: A contextual analysis

In this paper I examine the effect of polygyny on aggregate reproductive behavior. I argue that within countries there exist different polygyny regimes, each exhibiting a unique reproductive pattern. Using the 1988/1989 Kenya Demographic and Health Survey (KDHS1) data, I identify three distinct regimes: low-polygyny, mid polygyny, and high-polygyny regimes. The results of the bivariate and multivariate analyses reveal strong differences in reproductive preferences and behaviors across polygyny regimes. High-polygyny regimes, for instance, maintain a value orientation that favors and encourages high reproductive performance. The force of this pronatalism operates equally for men and women; but whereas men in this regime attain their reproductive goals by marrying multiple wives, women attain theirs by maximizing their reproductive capabilities. This maximization occurs through early initiation of sexual/reproductive activity, universal marriage and minimal interruption of marriage, nonuse of contraception within a union, and a positive attitude toward high fertility.     

Statistical methods for the analysis of high-throughput data based on functional profiles derived from the Gene Ontology

The increasing availability of high-throughput data, that is, massive quantities of molecular biology data arising from different types of experiments such as gene expression or protein microarrays, leads to the necessity of methods for summarizing the available information. As annotation quality improves it is becoming common to rely on biological annotation databases, such as the Gene Ontology (GO), to build functional profiles which characterize a set of genes or proteins using the distribution of their annotations in the database. In this work we describe a statistical model for such profiles, provide methods to compare profiles and develop inferential procedures to assess this comparison. An R-package implementing the methods will be available at publication time.     

Social Indicators Research and Health-Related Quality of Life Research

The aim of this essay is to build a bridgebetween two intersecting areas of research,social indicators research on the one hand andhealth-related quality of life research on theother. The first substantive section of thepaper introduces key concepts and definitionsin the social indicators research tradition,e.g., social indicators, positive, negative,input and output indicators, social reports andquality of life. After that, there is asection reviewing some historical origins andmotives of social indicators researchers,beginning roughly with Jeremy Bentham's`felicific calculus' and ending with the searchfor a comprehensive accounting scheme capableof measuring the quality of human existencewith social, economic and environmentalindicators.Results of eleven surveys are reviewed whichwere undertaken to explain happiness on thebasis of levels of satisfaction thatrespondents got from a dozen specific domainsof their lives, e.g., satisfaction with theirjobs, family relations and health. On average,for the eleven samples, we were able to explain38% of the variance in reported happiness fromsome subset of the predictor variables. Satisfaction with one's own health was never the strongest predictor of happiness inany sample. In five of the eleven samples,satisfaction with one's own health failed toenter the final explanatory regression equationfor lack of statistical significance. Theresults in this section of the essay show thatdifferent groups of people with different lifecircumstances, resources and constraints usedifferent mixtures of ingredients to determinetheir happiness.After examining some research revealing therelative importance of people's satisfaction with their health to theiroverall happiness, I consider some studiesrevealing the importance of people's self-reported health to their overallhappiness. Self-reported health is measuredprimarily by the eight dimensions of SF-36.When a variety of additional potentialpredictors are entered into our regressionequation, 44% of the variance in happinessscores is explained, but only one of the eightdimensions of SF-36 remains, namely, MentalHealth. The latter accounts for a mere four%age points out of the total 44. Thus,self-reported health has relatively little tocontribute toward respondents' reportedhappiness, and its measured contribution issignificantly affected by the number and kindsof potential predictors employed.Two approaches to explaining people'ssatisfaction with their own health areconsidered. First, using the same set ofhealth-related potential predictors of overallhappiness, we are able to explain 56% of thevariance in respondents' satisfaction withtheir own health. Then, using MultipleDiscrepancies Theory, we are able to explainabout 51% of the variation in satisfactionwith one's own health scores for 8,076undergraduates, with highs of 76% for a sampleof Finnish females and 72% for Korean males.Accordingly, it is reasonable to conclude thatif one's aim is to explain people'ssatisfaction with their own health, thepotential predictors assembled in MDT canprovide quite a bit and sometimes even moreexplanatory power than a reasonably broad setof measures of self-reported health.In the penultimate section of the essay it isargued that there are good reasons forcarefully distinguishing ideas of health andquality of life, and for not interpreting SF-36and SIP scores as measures of the quality oflife. It is suggested that we might all bebetter off if the term `health-related qualityof life' is simply abandoned. However, sincethis is unlikely to happen, it is stronglyrecommended that researchers be much morecareful with their usage of the phrase andtheir interpretation of purported measures ofwhatever the phrase is supposed to designate.     

Social structure and homicide in post-Soviet Russia

The Russian homicide rate is among the highest in the world. Local rates are not uniform, however, but instead show tremendous variation throughout this large nation. As a result of varying levels of development, differential access to natural resources, past Soviet economic and social policies, and the varying pace of the social, political, and economic transition, there are also large differences across Russia in structural factors thought to be related to interpersonal violence. In this study, newly available vital statistics and socioeconomic data were employed to estimate the effects of social structural characteristics on homicide rates in the Russian regions (n = 78). Results revealed that commonly tested covariates such as poverty and single-parent households were positively associated with regional homicide victimization rates, as was a proxy for heavy drinking. Further, homicide rates in the Northern Caucasus and the regions east of the Ural mountains are significantly lower and higher, respectively, than in the rest of the country. These results are discussed in terms of the current Russian situation and integrated into the broader literature on social structure and homicide.     

Limit theorems for a general weighted process under random censoring

Necessary and sufficient conditions for weak and strong convergence are derived for the weighted version of a general process under random censoring. To be more explicit, this means that for this process complete analogues are obtained of the Chibisov-O'Reilly theorem, the Lai-Wellner Glivenko-Cantelli theorem, and the James law of the iterated logarithm for the empirical process. The process contains as special cases the so-called basic martingale, the empirical cumulative hazard process, and the product-limit process. As a tool we derive a Kiefer-process-type approximation of our process, which may be of independent interest.