Black/White Differences in Health Status and Mortality Among the Elderly

Grade of membership (GOM) representations are used to characterize and compare the health status of a very heterogeneous sample of blacks and whites in an elderly cohort of 2,806 noninstitutionalized men and women living in New Haven, Connecticut. They were interviewed in 1982 as part of the Established Populations for the Epidemiologic Study of the Elderly (EPESE). Ideal profiles based on functional disabilities, chronic diseases, and selected biomedical and behavioral risk factors are constructed empirically. Each individual in the sample is represented by a set of GOM scores, interpreted as degrees of similarity of his or her health record to each of the profiles. Four profiles emerge from GOM analyses: healthy elderly, elderly with cognitive impairment, elderly with impairment in mobility function and physical performance and with selected chronic conditions, and elderly with major limitations in activities of daily living and multiple chronic conditions. Although elderly blacks and whites generally have similar configurations of profiles, there are important differences, especially when chronic conditions are related to specific types of functional impairments. Questions about and claims for black/white mortality crossovers at older ages, usually addressed with aggregate data, are examined conditional on GOM scores that correspond to diverse combinations of disabilities (or lack thereof) together with housing characteristics of cohort members (e.g., whether they live in public housing for the elderly or in owned or rented housing in the community).     

Lifestyle habits,substance use and predictors of job burnout in professional working women

Abstract

This study explores differences in self-reported lifestyle habits, substance use (alcohol, drugs and smoking) and predictors of job burnout in a sample of 879 professional working women employed in dental health ofices in a cross-sectional design. Job burnout was measured using the Maslach Burnout Inventory (MBI) and self-reported substance use and lifestyle habits were assessed using the Stress Assessment Profile. Self-reported drinking, smolung and drug use were only modestly correlated with each other in this sample. Employed women with higher levels of drinking reported significantly lower quality overall lifestyle practices, eating/nunition habits, and more frequent use of avoidant coping strategies in the face of work and life hassles compared to non-drinkers. Women who smoked also reported significantly lower overall lifestyle practices and eating/nutrition habits. Those who reported using drugs for recreational purposes reported significantly greater hassles, poorer lifestyle habits, a less hardy outlook on life, and more frequent use of dysfunctional coping strategies. Although women who reported using drugs experienced significantly higher interpersonal burnout (depersonalization) compared to non-drug users, in general, self-reported substance use was not significantly related to job burnout. After controlling for age and psychological distress, perceived stress, type A behaviour, cognitive hardiness and lifestyle habits significantly contributed to predictions of job burnout in multiple regression analyses. Despite methodological limitations, the prevalence of substance use found in this study supports previous research findings. Professional working women who practise poor lifestyle and health habits appear to be at risk of experiencing job burnout.     

Sleep hygiene practices and sleep duration in rotating-shift shiftworkers

Abstract

Alcohol, caffeine and tobacco intake, exercise, activities on going to bed, and sleep-enhancing measures were assessed in 72 rotating-shift shiftworkers to determine whether these variables differ following day shifts and night-shifts, and which are related to sleep duration. Only alcohol intake and exercise prior to sleep, and feeling drowsy when retiring, differed following the night-shift. Workers generally followed recommendations concerning alcohol intake, sleeping immediately on retiring, and exercising, but acted contrary to recommendations concerning caffeine and nicotine intake. The only behaviour clearly associated with poor sleep was smoking, which reduced sleep duration.     

Estimation of long-term trends and variation in avian survival probabilities using random effects models

We obtained banding and recovery data from the Bird Banding Laboratory (operated by the Biological Resources Division of the US Geological Survey) for adults from 129 avian species that had been continuously banded for > 24 years. Data were partitioned by gender, banding period (winter versus summer), and by states/provinces. Data sets were initially screened for adequacy based on specific criteria (e.g. minimum sample sizes). Fifty-nine data sets (11 waterfowl species, the Mourning Dove and Common Grackle) met our criteria of adequacy for further analysis. We estimated annual survival probabilities using the Brownie et al. recovery model {St, ft} in program MARK. Trends in annual survival and temporal process variation were estimated using random effects models based on shrinkage estimators. Waterfowl species had relatively little variation in annual survival probabilities (mean CV = 8.7% and 10% for males and females, respectively). The limited data for other species suggested similar low temporal variation for males, but higher temporal variation for females (CV = 40%). Evidence for long-term trends varied by species, banding period and sex, with no obvious spatial patterns for either positive or negative trends in survival probabilities. An exception was Mourning Doves banded in Illinois/Missouri and Arizona/New Mexico where both males (slope = -0.0122, se = 0.0019 and females (slope = -0.0109 to -0.0128, se = 0.0018 -0.0032) exhibited declining trends in survival probabilities. We believe our approach has application for large-scale monitoring. However, meaningful banding and recovery data for species other than waterfowl is very limited in North America.     

The efficacy of early intervention programs for children with organic impairment: A quantitative review

The results of studies examining the effectiveness of early intervention for infants and children with organic impairment and developmental delay were reviewed using recently developed quantitative methods that treat the literature review process as a unique type of scientific inquiry. Thirty-eight studies meeting certain predetermined criteria were included in the review. The 38 studies contained a total of 118 statistical hypothesis tests that evaluated the effectiveness of early intervention. An analysis of these tests based on the calculation of effect sizes revealed that subjects receiving early intervention performed better on a wide range of dependent measures than subjects not receiving intervention. The outcomes were found to be related to several design and study characteristics. Larger effect sizes were associated with preexperimental designs, and also with studies in which the internal validity was rated as poor. Several other design variables such as how subjects were assigned to conditions and how the dependent measure was recorded were related to study outcome as measured by effect size. The conclusion was made that an accurate interpretation of the early intervention research literature cannot be made without consideration of specific design variables and study characteristics.     

Deviance,Rule-Breaking and Male Dominance in Conversation

Previous research on dyadic interaction indicates that cross-sex conversations (male-female) are characterized by more frequent interruptions than same-sex conversations. More specifically, males consistently tend to interrupt their female co-conversationalists. Survey data from three student samples suggest that normative definitions reflected in perceptions of interruption are inconsistent with the empirical distribution of rule-breaking observed by conversational researchers. These results provide some strategic insights into the problematic distinction between deviance and rule-breaking that has been central to labeling theory.     

Religion as a Meaning System: Policy Implications for the New Millennium

The development of social policy related to religion has received increasing focus in recent years, yet psychology continues to play a relatively minor role in this important domain. In the current article, religion's positive and negative influences as a meaning system on individual, community, and societal well-being are delineated. The challenges facing psychology in contributing to public policy development in the religious arena are examined, challenges that stem from profound differences in the meaning systems of religion, government, and psychology. These challenges notwithstanding, a number of different pathways in the domains of applied research, community practice, and policy development are delineated through which psychology can help to maximize positive, and minimize negative, outcomes in the religion and social policy arena.     

A comparison study of realtime fatality rates: severe acute respiratory syndrome in Hong Kong, Singapore, Taiwan, Toronto and Beijing, China

Summary.  In an outbreak of a completely new infectious disease like severe acute respiratory syndrome (SARS), estimation of the fatality rate over the course of the epidemic is of clinical and epidemiological importance. In contrast with the constant case fatality rate, a new measure, termed the 'realtime' fatality rate, is proposed for monitoring the new emerging epidemic at a population level. A competing risk model implemented via a counting process is used to estimate the realtime fatality rate in an epidemic of SARS. It can capture and reflect the time-varying nature of the fatality rate over the course of the outbreak in a timely and accurate manner. More importantly, it can provide information on the efficacy of a certain treatment and management policy for the disease. The method has been applied to the SARS data from the regions affected, namely Hong Kong, Singapore, Toronto, Taiwan and Beijing. The magnitudes and patterns of the estimated fatalities are virtually the same except in Beijing, which has a lower rate. It is speculated that the effect is linked to the different treatment protocols that were used. The standard estimate of the case fatality rate that was used by the World Health Organization has been shown to be unable to provide useful information to monitor the time-varying fatalities that are caused by the epidemic.     

INDICES OF ROBUSTNESS FOR SAMPLE REPRESENTATION

Social scientists are rarely able to gather data from the full range of contexts to which they hope to generalize ( Shadish, Cook, and Campbell 2002 ). Here we suggest that debates about the generality of causal inferences in the social sciences can be informed by quantifying the conditions necessary to invalidate an inference. We begin by differentiating the target population into two subpopulations: a potentially observed subpopulation from which all of a sample is drawn and a potentially unobserved subpopulation from which no members of the sample are drawn but which is part of the population to which policymakers seek to generalize. We then quantify the robustness of an inference in terms of the conditions necessary to invalidate an inference if cases from the potentially unobserved subpopulation were included in the sample. We apply the indices to inferences regarding the positive effect of small classes on achievement from the Tennessee class size study and then consider the breadth of external validity. We use the statistical test for whether there is a difference in effects between two subpopulations as a baseline to evaluate robustness, and we consider a Bayesian motivation for the indices and compare the use of the indices with other procedures. In the discussion we emphasize the value of quantifying robustness, consider the value of different quantitative thresholds, and conclude by extending a metaphor linking statistical and causal inferences.