Analysis of exacerbation rates in asthma and chronic obstructive pulmonary disease: example from the TRISTAN study

Recurrent events in clinical trials have typically been analysed using either a multiple time-to-event method or a direct approach based on the distribution of the number of events. An area of application for these methods is exacerbation data from respiratory clinical trials. The different approaches to the analysis and the issues involved are illustrated for a large trial (n = 1465) in chronic obstructive pulmonary disease (COPD). For exacerbation rates, clinical interest centres on a direct comparison of rates for each treatment which favours the distribution-based analysis, rather than a time-to-event approach. Poisson regression has often been employed and has recently been recommended as the appropriate method of analysis for COPD exacerbations but the key assumptions often appear unreasonable for this analysis. By contrast use of a negative binomial model which corresponds to assuming a separate Poisson parameter for each subject offers a more appealing approach. Non-parametric methods avoid some of the assumptions required by these models, but do not provide appropriate estimates of treatment effects because of the discrete and bounded nature of the data.     

“Shelf-Ready” Print Serials Acquisitions

The focus of this installment of “The Balance Point” is “shelf-ready” print serials acquisitions, including functions associated with traditional consolidation services (ordering, receiving, check-in, labeling, claiming and batch shipments), and the newer capabilities of uploading check-in data automatically into library systems. Featured authors discuss traditional vendor consolidation services, pilot projects and experiments in the pursuit of what they define as genuinely “shelf-ready” periodicals. The authors view obtaining “shelf-ready” print journal issues as an effective and efficient means of managing print serials operations while coping with the demands of managing digital resource acquisitions with limited financial resources.     

Are motherhood penalties and fatherhood bonuses warranted? Comparing pro-work behaviors and conditions of mothers, fathers, and non-parents

Research has confirmed a motherhood penalty and fatherhood bonus at work. Employers, it appears, regard mothers and fathers differently from one another and differently from non-parents. We have yet to systematically explore whether mothers exhibit fewer pro-work behaviors than fathers and non-parents or whether fathers engage in more of them than mothers and non-parents. This article draws on nationally representative data from full-time employed adults to investigate mother, father, and non-parent differences in work effort, work intensity, job engagement, and four measures of work enhancement from home. Mothers and fathers are similar on five out of seven outcomes tapping pro-work dimensions. When they differ, mothers report greater job engagement and work intensity than fathers. Mothers are no different from non-parents on all outcomes. All findings hold net of individual, job, and family controls. I conclude that reducing workplace gender inequality will require organizational changes that pay explicit attention to workers’ care-giving responsibilities.     

Climate,agriculture, and hunger: statistical prediction of undernourishment using nonlinear regression and data-mining techniques

An estimated 1 billion people suffer from hunger worldwide, and climate change, urbanization, and globalization have the potential to exacerbate this situation. Improved models for predicting food security are needed to understand these impacts and design interventions. However, food insecurity is the result of complex interactions between physical and socio-economic factors that can overwhelm linear regression models. More sophisticated data-mining approaches could provide an effective way to model these relationships and accurately predict food insecure situations. In this paper, we compare multiple regression and data-mining methods in their ability to predict the percent of a country's population that suffers from undernourishment using widely available predictor variables related to socio-economic settings, agricultural production and trade, and climate conditions. Averaging predictions from multiple models results in the lowest predictive error and provides an accurate method to predict undernourishment levels. Partial dependence plots are used to evaluate covariate influence and demonstrate the relationship between food insecurity and climatic and socio-economic variables. By providing insights into these relationships and a mechanism for predicting undernourishment using readily available data, statistical models like those developed here could be a useful tool for those tasked with understanding and addressing food insecurity.     

The Role of Social Networks in Getting a Job

This article reviews recent research on the effect s of social networks on access to job information and getting a job in the United States. Drawing on network ties from friends, family members, acquaintances, employers, or coworkers can improve the job search because individuals gain access to and make use of their network’s social capital. While this job searching strategy can result in a successful job search for some, not all job seekers benefit from reliance on social networks. We spotlight research that documents how reliance on social networks as a means to find work can actually maintain sex and racial/ethnic inequality at work. We discuss research documenting the important role social networks play in the job acquisition process. The last half of this review focuses on several new developments in the literature that promise to further our understanding of social networks’ lasting effects on employment outcomes.     

An Investigation Of A Brief Life Satisfaction Scale With Elementary School Children

This study examined the psychometric properties of the Brief Multidmensional Student Life Satisfaction Scale (BMSLSS: Seligson et al., 2003) with elementary school children. The participants included 518 elementary school students in grades three through five in a Southeastern US state. The students completed the following measures: the BMSLSS, the Students’ Life Satisfaction Scale (SLSS: Huebner, 1991a), the Children’s Social Desirability Questionnaire (CSDQ: Crandall et al., 1965), and the Positive and Negative Affect Schedule-Children’s Version (PANAS-C: Laurent et al., 1999). The results revealed acceptable internal consistency reliability, construct validity and concurrent validity for the BMSLSS. Overall, the use of the BMSLSS for research purposes was supported on a preliminary basis for this age group for research purposes. The study also investigated the usefulness of weighted importance ratings in the prediction of global life satisfaction judgments. Children’s ratings of the importance of the specific domains, whether viewed separately or combined with ratings of levels of life satisfaction, did not enhance the prediction of global life satisfaction. The usefulness of such a brief measure for the assessment of positive indicators of well-being in large-scale national and international studies is highlighted. Recommendations for future research are delineated.     

Quality of Life of Some Under-Represented Survey Respondents: Youth, Aboriginals and Unemployed

Examining an aggregated sample (N=8800) of residents who responded to one of 16 surveys undertaken in Prince George, British Columbia in the period from November 1997 to February 2005, it was found that satisfaction with the quality of life of unemployed residents is lower than that of residents with Aboriginal backgrounds and that satisfaction with the quality of life of the latter is still lower than that of young people. Nevertheless, satisfaction with the quality of life of young people was significantly lower than that of the total sampled population, as well as that of the selected mid-life and retirement groups. Regarding predictors of our three global dependent variables (satisfaction with life as a whole and with the overall quality of life, and happiness) for the three groups (unemployed, Aboriginals and youth) and the total population, we found that the Aboriginal group was most different from all others. Satisfaction with one’s own self-esteem was the most influential predictor of each global indicator for every group except Aboriginal residents. For the latter, self-esteem satisfaction was only the strongest predictor of satisfaction with the overall quality of life. The strongest predictor of life satisfaction for the Aboriginal group was satisfaction with friendships, and there were two domain satisfaction scores tied (friendships and living partner) for most influential predictors of happiness. Self-esteem satisfaction ranked second in strength of influence on Aboriginal happiness and life satisfaction.     

Infant mortality and socioeconomic development: Evidence from Malaysian household data

Household data from Malaysia are used to assess the roles of a number of mortality correlates in explaining the inverse relationship between the infant mortality rate (IMR) and socioeconomic development. Increases in mothers' education and improvements in water and sanitation are the most important household-level changes that accompany regional and temporal development and contribute to the inverse relationship between the IMR and development. One concomitant of development--reduced reduced breastfeeding--has kept the relationship from being even stronger. Continued prevalence of extended breastfeeding in the poorer states of Peninsular Malaysia and a narrowing of educational and sanitation differentials helped close the IMR gap between the richer and the poorer states.     

Mothers' Typical and Event-Specific Positive Expressions Influence Children's Memory for Events

Mothers (N=67) taught their preschool children crafts while varying emotional expressions (delight, irritation). Mothers’ typical expressive styles were assessed by questionnaire. After three weeks, children's memory was assessed with a free‐recall interview followed by re‐enactment of craft‐making with an interviewer. Children of mothers high in positive expressiveness had more elaborate recall when mothers expressed delight rather than irritation. Children of mothers low in positive expressiveness re‐enacted more event details when their mothers were less varied in expression rather than expressive of emotion in general or delight in particular, and had more elaborate recall when their mothers expressed irritation rather than delight. Findings suggest that children remember more when their mother's emotional expressions during an event fit her typical style.     

Social work knowledge of community-based services for older adults: an educational model for social work students

Social workers are often the key link between older adults, their families and community-based services. Thus, knowledge about older adults and community-based care is imperative for social work practice. Evaluation data are provided on a national multisite effort (N = 353) from 35 schools to assure graduate social work student's competency related to community services for older adults. Results suggest that the educational model as described in this article sets forth positive outcomes in the education of aging savvy social workers. Ongoing social work education is needed to meet the burgeoning needs of the geriatric population.