Disability beliefs and help-seeking behavior of depressed Chinese-American patients in a primary care setting

In this study the authors assessed the effects of disability beliefs, conceptualization and labeling of emotional disabilities, and perceived barriers on help-seeking behaviors among depressed Chinese Americans in a primary care setting. Forty-two Chinese Americans participated in semistructured interviews using established psychological measures and open-ended questions adapted from the Explanatory Model Interview Catalogue. The authors found that care utilization appears to be complicated by somatization of emotional problems, variations in causal attribution to depression, barriers to receiving mental health care, and the burden of comorbid physical conditions. Their findings highlight the importance of addressing these issues and educating patients about body-mind dialectic common to depression.     

Opinions toward suicide: Cross-national evaluation of cultural and religious effects on individuals

This study evaluates the role that religious and cultural values have on individual opinions toward suicide worldwide. Using multilevel modeling with data from the fourth wave of the World Values Survey (42,299 individuals in 43 countries), the current study is designed to analyze the effect of individual (i.e., micro-level), and country (i.e., macro-level) characteristics on opinions toward suicide. Specifically, cultural values, religious affiliation, religious importance, and church attendance are analyzed at both the individual and country levels to evaluate the impact of individual and country level effects on opinions toward suicide. The results show that individual opinions toward suicide are influenced by individual belief as well as by the cultural and religious characteristics of their country. The results suggest that evaluation of individual opinions toward controversial behavior should account for the unique and cross-interaction effects of micro- and macro-level effects.     

Fathers’ Imprisonment and Mothers’ Multiple-Partner Fertility

We consider the intersection between two striking U.S. trends: dramatic increases in the imprisonment of fathers and increases in the proportion of mothers who have children with more than one partner (multiple-partner fertility, or MPF). Using matched longitudinal administrative data that provide unusually comprehensive and accurate information about the occurrence and timing of imprisonment, fertility, and MPF for the population of the state of Wisconsin, we consider the relationship between paternal imprisonment and MPF among unwed mothers. Employing discrete-time event history analysis with multinomial logistic regression, we model the occurrence and timing of the mother’s second birth, distinguishing between a birth with the same father and a birth with a different father, and distinguishing between current imprisonment and a history of imprisonment. We find that current imprisonment is associated with an increased likelihood of MPF and a decreased likelihood of fertility with the same father (compared with no additional birth) and that a history of imprisonment is associated with increased MPF in some models but not in our preferred model. To control for unobserved heterogeneity among mothers and assess the evidence of a causal effect of fathers’ imprisonment, we also employ the case-time-control method, a fixed-effects method for the analysis of nonrepeated events. Results suggest that fathers’ current imprisonment may increase mothers’ MPF. Policy implications are discussed.     

Patterns of Time Use Across the Life Span in Korea: A Latent Class Analysis and Age and Gender Differences

The purpose of this study was to gain an understanding of time use and the patterns of time use across the life span using a socioemotional selectivity theory. The data used for this study were from the “Korean Time Use Survey,” which is collected every 5 years by Statistics Korea (KOSTAT). The data collected in 1999, 2004, and 2009 were used to analyze the patterns of time use using latent class analyses and to observe the differences of time use by age and gender. The results were summarized as follows: Based on the analyses of nine behavior classifications, after sleep and personal care, Korean allocated more time in daily activities to relationship and leisure time, followed by education, paid work, and household management, with the order differing between each age group and gender. Three different classes of time use were classified at each age group. Education-centered time use was revealed to be mainly in the young, paid work-centered in the middle-aged, and relationship and leisure-centered in older adults. We find significant gender differences. Men’s patterns of time did not change markedly across the 3 years, while women’s patterns have shifted. Meanwhile, in the age 65 and older group, paid work appeared alongside as well as leisure among most prominent activities, were appeared as dominant forms of time use. This phenomenon is closely related to reflecting high rates of elderly poverty in Korea. Further discussions concerning the time use by age and gender were provided and countermeasures for changing time use in later life were discussed.     

Unequal Regionalism: Regional Planning in China and England

This paper responds to the revival of regionalism in the past two decades by showing that such a re-emergence is unequal. Comparing the practice of regional planning in China and England, this paper has demonstrated that the party-state in China and the liberal-democratic state in England have responded differently to this revival and developed different framework for regional administration and planning. These variations have not only elaborated planners' concern about planning practice in a ‘context of difference’ from social dimension to geographical variations, but also echoed geographers' affirmation that global trends take on different characters in local setting.     

Hypergamy Among South Korean Women and Its Implications for the Marriage Rate

Population Research and Policy Review - This study aims to examine how income-based hypergamy among South Korean women affects the marriage rate. In a society that continues to practice income...     

Bayesian approach to estimation of intraclass correlation using reference prior

For the balanced variance component model when the intraclass correlation coefficient is of interest, Bayesian analysis is often appropriate. Berger and Bernardo’s (1992a) grouped ordering reference prior approach is used to analyze this model. The reference priors are developed and compared for the posterior inference with real and simulated data. We examine whether the reference priors satisfy the probability-matching criterion. Further, the reference prior is shown to be good in the sense of correct frequentist coverage probability of the posterior quantile.     

A Pilot for Improving Depression Care on College Campuses: Results of the College Breakthrough Series–Depression (CBS-D) Project

Abstract

Objective: To implement a pilot quality improvement project for depression identification and treatment in college health. Participants: Eight college health center teams composed primarily of primary care and counseling service directors and clinicians. Methods: Chronic (Collaborative) Care Model (CCM) used with standardized screening to identify, treat, and track depressed students for 12 weeks to monitor predetermined process and clinical outcomes. Results: Of all students receiving primary medical care services between January 2007 and May 2008, 69% (n = 71,908) were screened for depression. A total of 801 depressed students were treated and tracked; most predetermined treatment process and clinical outcome targets were achieved. Conclusion: The CCM for depression shows promise for improving depression identification and care for college students.     

A tutorial on rank-based coefficient estimation for censored data in small- and large-scale problems

The analysis of survival endpoints subject to right-censoring is an important research area in statistics, particularly among econometricians and biostatisticians. The two most popular semiparametric models are the proportional hazards model and the accelerated failure time (AFT) model. Rank-based estimation in the AFT model is computationally challenging due to optimization of a non-smooth loss function. Previous work has shown that rank-based estimators may be written as solutions to linear programming (LP) problems. However, the size of the LP problem is O(n ²+p) subject to n ² linear constraints, where n denotes sample size and p denotes the dimension of parameters. As n and/or p increases, the feasibility of such solution in practice becomes questionable. Among data mining and statistical learning enthusiasts, there is interest in extending ordinary regression coefficient estimators for low-dimensions into high-dimensional data mining tools through regularization. Applying this recipe to rank-based coefficient estimators leads to formidable optimization problems which may be avoided through smooth approximations to non-smooth functions. We review smooth approximations and quasi-Newton methods for rank-based estimation in AFT models. The computational cost of our method is substantially smaller than the corresponding LP problem and can be applied to small- or large-scale problems similarly. The algorithm described here allows one to couple rank-based estimation for censored data with virtually any regularization and is exemplified through four case studies.