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Status Variables (status + variable)
Selected AbstractsThe impact of personal characteristics on engagement in nursing home residents with dementiaINTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY, Issue 7 2009Jiska Cohen-Mansfield Abstract Objective To examine the impact of personal attributes on engagement in persons with dementia. Methods Participants were 193 residents of seven Maryland nursing homes. All participants had a diagnosis of dementia. Cognitive functioning was assessed via the Mini-Mental State Examination, and engagement was assessed via the Observational Measure of Engagement. Data pertaining to activities of daily living were obtained from the Minimum Data Set. Results Women had longer mean engagement duration than men, and significant results were not seen with the other demographic variables. Significant, positive correlations were found between higher cognitive functioning and longer engagement duration, more attention, a more positive attitude, and a higher refusal rate. There was a positive and significant correlation between the comorbidity index and engagement duration, and between the number of medications and attention. All functional status variables yielded significance in a positive direction. Participants with poor hearing had a higher refusal rate. Cognitive status was the most consistent and potent predictor of engagement in this population. Conclusion Despite a higher refusal rate among those with higher cognitive levels, their overall engagement with stimuli is higher. Caregivers should anticipate higher refusal rates in those with poor hearing, and therefore compensatory methods should be used in presenting stimuli in this population. The potent role of cognitive and functional status on engagement of persons with dementia underscores the importance of tailoring activities to nursing home residents' needs, interests, and limitations. Copyright © 2009 John Wiley & Sons, Ltd. [source] Self-Esteem and Socioeconomic Disparities in Self-Perceived Oral HealthJOURNAL OF PUBLIC HEALTH DENTISTRY, Issue 1 2009David Locker Abstract Objective: To determine if psychosocial factors explain the socioeconomic disparities in self-perceived oral health that persist after controlling for oral status variables. Methods: Data came from the participants in the Canadian Community Health Survey 2003 who were residents in the city of Toronto. Oral health variables included self-rated oral health, a 13-item oral health scale, denture wearing, and having a tooth extracted in the previous year. The last two measures were regarded as proxy indicators of tooth loss. Psychosocial variables included a self-esteem scale, a depression scale, and single items measuring life satisfaction, life stress, and sense of cohesion. Socioeconomic status was assessed using total annual household income. Results: Interviews were completed with 2,754 dentate persons aged 20 years and over. Bivariate analyses confirmed that there were income gradients in self-rated oral health and scores on the oral health scale. Linear regression analyses confirmed that these persisted after controlling for age, gender, denture wearing, and having a tooth extracted in the previous year. In the model predicting self-rated oral health self-esteem, life satisfaction, stress, a sense of cohesion, and depression also contributed to the model, increased its explanatory power, and reduced the strength of but did not eliminate the association between income and self-rated oral health. Broadly, similar results were obtained when the oral health scale score was used as the dependent variable. In both analyses and all models, denture wearing had the strongest and most enduring effect. Conclusion: Psychosocial factors partly but do not wholly explain the socioeconomic disparities in self-perceived oral health in this population after controlling for tooth loss and denture wearing. Other variables need to be added to the models to increase their explanatory power. [source] Are immigrants, ethnic and linguistic minorities over-represented in jobs with a high level of compensated risk?AMERICAN JOURNAL OF INDUSTRIAL MEDICINE, Issue 9 2010Canada study using census, Results from a montréal, workers' compensation data Abstract Objectives Few Canadian data sources allow the examination of disparities by ethnicity, language, or immigrant status in occupational exposures or health outcomes. However, it is possible to document the mechanisms that can create disparities, such as the over-representation of population groups in high-risk jobs. We evaluated, in the Montréal context, the relationship between the social composition of jobs and their associated risk level. Methods We used data from the 2001 Statistics Canada census and from Québec's workers' compensation board for 2000,2002 to characterize job categories defined as major industrial groups crossed with three professional categories (manual, mixed, non-manual). Immigrant, visible, and linguistic minority status variables were used to describe job composition. The frequency rate of compensated health problems and the average duration of compensation determined job risk level. The relationship between the social composition and risk level of jobs was evaluated with Kendall correlations. Results The proportion of immigrants and minorities was positively and significantly linked to the risk level across job categories. Many relationships were significant for women only. In analyses done within manual jobs, relationships with the frequency rate reversed and were significant, except for the relationship with the proportion of individuals with knowledge of French only, which remained positive. Conclusions Immigrants, visible, and linguistic minorities in Montréal are more likely to work where there is an increased level of compensated risk. Reversed relationships within manual jobs may be explained by under-reporting and under-compensation in vulnerable populations compared to those with knowledge of the province's majority language. Am. J. Ind. Med. 53:875,885, 2010. © 2010 Wiley-Liss, Inc. [source] Corporate psychopathy: Talking the walk,BEHAVIORAL SCIENCES & THE LAW, Issue 2 2010Paul Babiak Ph.D. There is a very large literature on the important role of psychopathy in the criminal justice system. We know much less about corporate psychopathy and its implications, in large part because of the difficulty in obtaining the active cooperation of business organizations. This has left us with only a few small-sample studies, anecdotes, and speculation. In this study, we had a unique opportunity to examine psychopathy and its correlates in a sample of 203 corporate professionals selected by their companies to participate in management development programs. The correlates included demographic and status variables, as well as in-house 360° assessments and performance ratings. The prevalence of psychopathic traits,as measured by the Psychopathy Checklist,Revised (PCL-R) and a Psychopathy Checklist: Screening Version (PCL: SV) "equivalent",was higher than that found in community samples. The results of confirmatory factor analysis (CFA) and structural equation modeling (SEM) indicated that the underlying latent structure of psychopathy in our corporate sample was consistent with that model found in community and offender studies. Psychopathy was positively associated with in-house ratings of charisma/presentation style (creativity, good strategic thinking and communication skills) but negatively associated with ratings of responsibility/performance (being a team player, management skills, and overall accomplishments). Copyright © 2010 John Wiley & Sons, Ltd. [source] The Performance of Risk Prediction ModelsBIOMETRICAL JOURNAL, Issue 4 2008Thomas A. Gerds Abstract For medical decision making and patient information, predictions of future status variables play an important role. Risk prediction models can be derived with many different statistical approaches. To compare them, measures of predictive performance are derived from ROC methodology and from probability forecasting theory. These tools can be applied to assess single markers, multivariable regression models and complex model selection algorithms. This article provides a systematic review of the modern way of assessing risk prediction models. Particular attention is put on proper benchmarks and resampling techniques that are important for the interpretation of measured performance. All methods are illustrated with data from a clinical study in head and neck cancer patients. (© 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim) [source] Early sexual debut and associated factors among in-school adolescents in eight African countriesACTA PAEDIATRICA, Issue 8 2010Karl PeltzerArticle first published online: 19 MAY 2010 Abstract Objective:, This report examines early sexual debut (
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