Depressive symptoms and empty nest phenomenon of rural elderly people are both important public health issues, which should not be ignored. We aimed to estimate the prevalence of depressive symptoms and related factors of the empty nest elderly in rural China. We recruited 3182 eligible subjects and gathered data by face-to-face interview. Multivariate logistic regression models were used to explore the related factors of depressive symptoms. The present study showed that the prevalence of depressive symptoms significantly differed between empty nest old adults and non-empty nesters (24.1% vs. 19.0%). The elderly living alone had highest OR of depressive symptoms. Depressive symptoms of empty nest elderly was associated with sleep quality, economic status, pain, social support and ADL. While it was associated with gender, economic status, pain and PSMS in non-empty nest group. Number of chronic disease showed significant associations with depressive symptoms in the elderly living alone. Subjective support, support utilization and pain were positively associated with depressive symptoms in the elderly living with spouse. Sleep quality, economic status and ADL were common factors. Depressive symptoms obviously prevail among empty nest elderly than non-empty nesters. It reminded us that complementary social support from family and society is essential. 相似文献
Leadership effectiveness is a result of the interaction between leadership style and the social and organizational environment. We draw on social information-processing theory and analyze how the interaction between servant leadership and the social environment (i.e., religious atmosphere and housing price in one region) influences employee behavior. We likewise measure geographic-proximity-based religious atmosphere and housing price variables on the basis of 25 geographically disparate branches of a company, including a sample of 82 supervisors and 351 employees. Multilevel analyses reveal that the interaction between servant leadership and religious atmosphere has a positive effect on employee helping behavior but not for employee voice behavior. Conversely, the interaction between servant leadership and housing price has a positive effect on employee voice behavior, but does not have such effect on employee helping behavior. We also discuss the theoretical and practical implications on leadership research.
In behavioral, biomedical, and psychological studies, structural equation models (SEMs) have been widely used for assessing relationships between latent variables. Regression-type structural models based on parametric functions are often used for such purposes. In many applications, however, parametric SEMs are not adequate to capture subtle patterns in the functions over the entire range of the predictor variable. A different but equally important limitation of traditional parametric SEMs is that they are not designed to handle mixed data types—continuous, count, ordered, and unordered categorical. This paper develops a generalized semiparametric SEM that is able to handle mixed data types and to simultaneously model different functional relationships among latent variables. A structural equation of the proposed SEM is formulated using a series of unspecified smooth functions. The Bayesian P-splines approach and Markov chain Monte Carlo methods are developed to estimate the smooth functions and the unknown parameters. Moreover, we examine the relative benefits of semiparametric modeling over parametric modeling using a Bayesian model-comparison statistic, called the complete deviance information criterion (DIC). The performance of the developed methodology is evaluated using a simulation study. To illustrate the method, we used a data set derived from the National Longitudinal Survey of Youth. 相似文献