Objective: The purpose of this study was to determine if hostility is associated with physical and mental health-related quality of life (QoL) in US. Hispanics/Latinos after accounting for depression and anxiety.
Methods: Analyses included 5313 adults (62% women, 18–75 years) who completed the ancillary sociocultural assessment of the Hispanic Community Health Study/Study of Latinos. Participants completed the Center for Epidemiological Studies Depression Scale, Spielberger Trait Anxiety Scale, Spielberger Trait Anger Scale, Cook–Medley Hostility cynicism subscale and Short Form Health Survey. In a structural regression model, associations of hostility with mental and physical QoL were examined.
Results: In a model adjusting for age, sex, disease burden, income, education and years in the US., hostility was related to worse mental QoL, and was marginally associated with worse physical QoL. However, when adjusting for the influence of depression and anxiety, greater hostility was associated with better mental QoL, and was not associated with physical QoL.
Conclusions: Results indicate observed associations between hostility and QoL are confounded by symptoms of anxiety and depression, and suggest hostility is independently associated with better mental QoL in this population. Findings also highlight the importance of differentiating shared and unique associations of specific emotions with health outcomes. 相似文献
Cocaine is a type of drug that functions to increase the availability of the neurotransmitter dopamine in the brain. However, cocaine dependence or abuse is highly related to an increased risk of psychiatric disorders and deficits in cognitive performance, attention, and decision-making abilities. Given the chronic and persistent features of drug addiction, the progression of abstaining from cocaine often evolves across several states, such as addiction to, moderate dependence on, and swearing off cocaine. Hidden Markov models (HMMs) are well suited to the characterization of longitudinal data in terms of a set of unobservable states, and have increasingly been used to uncover the dynamic heterogeneity in progressive diseases or activities. However, the existence of outliers or influential points may misidentify the hidden states and distort the associated inference. In this study, we develop a Bayesian local influence procedure for HMMs with latent variables in the presence of missing data. The proposed model enables us to investigate the dynamic heterogeneity of multivariate longitudinal data, reveal how the interrelationships among latent variables change from one state to another, and simultaneously conduct statistical diagnosis for the given data, model assumptions, and prior inputs. We apply the proposed procedure to analyze a dataset collected by the UCLA center for advancing longitudinal drug abuse research. Several outliers or influential points that seriously influence estimation results are identified and removed. The proposed procedure also discovers the effects of treatment and individuals’ psychological problems on cocaine use behavior and delineates their dynamic changes across the cocaine-addiction states. 相似文献
Previous studies found that individuals with promotion focus are more likely to be persuaded by messages framed in terms of gain‐related words; individuals with prevention focus are more likely to be persuaded by messages framed in terms of loss‐related words. This is known as the message matching effect of regulatory focus. The present study extended this effect into the field of moral judgement of other‐orientation lies. Two experiments were conducted, revealing that (a) individuals with promotion focus judged gain‐framed other‐orientation lies to be more moral, while individuals with prevention focus judged non‐loss‐framed other‐orientation lies to be more moral; and (b) the subjective processing fluency had a partial mediating role in the message matching effect. Theoretical implications and future research directions were discussed. 相似文献
Improvements in motor sequence performance have been observed after a delay involving sleep. This finding has been taken as evidence for an active sleep consolidation process that enhances subsequent performance. In a review of this literature, however, the authors observed 4 aspects of data analyses and experimental design that could lead to improved performance on the test in the absence of any sleep consolidation: (a) masking of learning effects in the averaged data, (b) masking of reactive inhibition effects in the averaged training data, (c) time-of-day and time-since-sleep confounds, and (d) a gradual buildup of fatigue over the course of massed (i.e., concentrated) training. In 2 experiments the authors show that when these factors are controlled for, or when their effects are substantially reduced, the sleep enhancement effect is eliminated. Whereas sleep may play a role in protection from forgetting of motor skills, it does not result in performance enhancement. 相似文献