7 resultados para Multilevel Modeling
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Resumo:
The majority of previous research on social capital and health is limited to social capital in residential neighborhoods and communities. Using data from the Finnish 10-Town study we examined social capital at work as a predictor of health in a cohort of 9524 initially healthy local government employees in 1522 work units, who did not change their work unit between 2000 and 2004 and responded to surveys measuring social capital at work and health at both time-points. We used a validated tool to measure social capital with perceptions at the individual level and with co-workers' responses at the work unit level. According to multilevel modeling, a contextual effect of work unit social capital on self-rated health was not accounted for by the individual's socio-demographic characteristics or lifestyle. The odds for health impairment were 1.27 times higher for employees who constantly worked in units with low social capital than for those with constantly high work unit social capital. Corresponding odds ratios for low and declining individual-level social capital varied between 1.56 and 1.78. Increasing levels of individual social capital were associated with sustained good health. In conclusion, this longitudinal multilevel study provides support for the hypothesis that exposure to low social capital at work may be detrimental to the health of employees. (c) 2007 Elsevier Ltd. All rights reserved.
Resumo:
The outcomes of school-based counseling incorporating the Partners for Change Outcome Monitoring System (PCOMS) were evaluated using a cohort design, with multilevel modeling to identify predictors of change. Participants were 288 7-11 year olds experiencing social, emotional or behavioral difficulties. The intervention was associated with significant reductions in psychological distress, with a pre-post effect size (d) of 1.49 on the primary outcome measure and 88.7% clinical improvement. Greater improvements were found for disabled children, older children, and where CBT methods were used. The findings provide support for the use of systematic feedback in therapy with children.
Resumo:
Correlations between intergroup violence and youth aggression are often reported. Yet longitudinal research is needed to understand the developmental factors underlying this relation, including between-person differences in within-person change in aggression through the adolescent years. Multilevel modeling was used to explore developmental and contextual influences related to risk for youth aggression using 4 waves of a prospective, longitudinal study of adolescent/mother dyad reports (N = 820; 51% female; 10–20 years old) in Belfast, Northern Ireland, a setting of protracted political conflict. Experience with sectarian (i.e., intergroup) antisocial behavior predicted greater youth aggression; however, that effect declined with age, and youth were buffered by a cohesive family environment. The trajectory of aggression (i.e., intercepts and linear slopes) related to more youth engagement in sectarian antisocial behavior; however, being female and having a more cohesive family were associated with lower levels of youth participation in sectarian acts. The findings are discussed in terms of protective and risk factors for adolescent aggression, and more specifically, participation in sectarian antisocial behavior. The article concludes with clinical and intervention implications, which may decrease youth aggression and the perpetuation of intergroup violence in contexts of ongoing conflict.
Resumo:
This article examines relationships between religion and racial intolerance across 47 countries by applying multilevel modeling to European survey data and is the first in-depth analysis of moderation of these relationships by European national contexts. The analysis distinguishes a believing, belonging, and practice-dimension of religiosity. The results yield little evidence of a link between denominational belonging, religious practice, and racial intolerance. The religiosity dimension that matters most for racial intolerance in Europe is believing: believers in a traditional God and believers in a Spirit/Life Force are decidedly less likely, and fundamentalists are more likely than non- believers to be racially intolerant. National contexts also matter greatly: individuals living in Europe’s most religious countries, countries with legacies of ethnic-religious conflict and countries with low GDP are significantly more likely to be racially intolerant than those living in wealthier, secular and politically stable countries. This is especially the case for the religiously devout.
Resumo:
Objectives: There are few studies on relationships between deprivation and the self-reported health of people aged over 64 years, and no studies fully representative of Northern Ireland’s older population. This paper addresses this gap. Methods: Deprivation of older people as reported in the 2001 and 2011 Censuses and the relationship with self-reported health are analyzed over a ten-year span using multilevel modeling. The data are from the Northern Ireland Longitudinal Study (NILS) linked to 2001-11 Census returns. Deprivation measures include housing tenure, property-value, access to a car, educational, employment and area-level income-deprivation. Results: Older people suffering deprivation face a significant health disadvantage over a ten-year time span. Discussion: This health disadvantage is stronger in men than in women, likely due to conservative gender roles prevalent among Northern Ireland’s older population, leading to psychological distress among deprived men. The analysis found strongly significant area-level effects, aggravating the health impact of deprivation.
Resumo:
This paper presents multilevel models that utilize the Coxian phase-type distribution in order to be able to include a survival component in the model. The approach is demonstrated by modeling patient length of stay and in-hospital mortality in geriatric wards in Italy. The multilevel model is used to provide a means of controlling for the existence of possible intra-ward correlations, which may make patients within a hospital more alike in terms of experienced outcome than patients coming from different hospitals, everything else being equal. Within this multilevel model we introduce the use of the Coxian phase-type distribution to create a covariate that represents patient length of stay or stage (of hospital care). Results demonstrate that the use of the multilevel model for representing the in-patient mortality is successful and further enhanced by the inclusion of the Coxian phase-type distribution variable (stage covariate).