Perceived Maternal Autonomy Support and Early Adolescent Emotion Regulation: A Longitudinal Study

This study investigated longitudinal associations between perceived maternal autonomy‐supportive parenting and early adolescents' use of three emotion regulation (ER) styles: emotional integration, suppressive regulation, and dysregulation. We tested whether perceived maternal autonomy support predicted changes in ER and whether these ER styles, in turn, related to changes in adjustment (i.e., depressive symptoms, self‐esteem). Participants (N = 311, mean age at Time 1 = 12.04) reported on perceived maternal autonomy support, their ER styles, and adjustment at two moments in time, spanning a one‐year interval. Cross‐lagged analyses showed that perceived maternal autonomy support predicted increases in emotional integration and decreases in suppressive regulation. By contrast, emotional dysregulation predicted decreases in perceived autonomy‐supportive parenting. Further, increases in emotional integration were predictive of increases in self‐esteem, and decreases in suppressive regulation were predictive of decreases in depressive symptoms. Together, the results show that early adolescents' perception of their mothers as autonomy‐supportive is associated with increases in adaptive ER strategies and subsequent adjustment.     

Cultural responsiveness in substance-abuse treatment: a qualitative study using professionals' and clients' perspectives

As a result of the growing number of ethnic and cultural minority clients in substance-abuse treatment during the last decades, a culturally responsive approach has become more and more imperative. In this article the statements (n = 1330) of professionals (n = 11) and clients (n = 11) representing the substance-abuse treatment centres in the region of Ghent and its suburbs (Belgium) are analysed. In focus are the specific treatment needs of ethnically and culturally diverse substance-abusing clients and the difficulties consequent to treating this target group. Possible approaches to overcoming these difficulties are highlighted and elaborated by means of semi-structured interviews and focus groups. The participants in the study stress the importance of an integrated approach, with special attention given to the factors that can promote or jeopardise treatment.     

Personal Identity Processes from Adolescence Through the Late 20s: Age Trends,Functionality, and Depressive Symptoms

Personal identity formation constitutes a crucial developmental task during the teens and 20s. Using a recently developed five‐dimensional identity model, this cross‐sectional study (N = 5834) investigated age trends from ages 14 to 30 for different commitment and exploration processes. As expected, results indicated that, despite some fluctuations over time, commitment processes tended to increase in a linear fashion. Exploration in breadth and exploration in depth were characterized by quadratic trends, with the highest levels occurring in emerging adulthood. Further, the functionality of these identity processes, and especially of exploration, changed over time. Exploration in breadth and exploration in depth were strongly related to commitment processes especially in adolescence and emerging adulthood, but these exploration processes became increasingly associated with ruminative exploration and depressive symptoms in the late 20s. Theoretical implications and suggestions for future research are outlined.     

Adjusting for time-varying confounding in the subdistribution analysis of a competing risk

Despite decades of research in the medical literature, assessment of the attributable mortality due to nosocomial infections in the intensive care unit (ICU) remains controversial, with different studies describing effect estimates ranging from being neutral to extremely risk increasing. Interpretation of study results is further hindered by inappropriate adjustment (a) for censoring of the survival time by discharge from the ICU, and (b) for time-dependent confounders on the causal path from infection to mortality. In previous work (Vansteelandt et al. Biostatistics 10:46–59), we have accommodated this through inverse probability of treatment and censoring weighting. Because censoring due to discharge from the ICU is so intimately connected with a patient’s health condition, the ensuing inverse weighting analyses suffer from influential weights and rely heavily on the assumption that one has measured all common risk factors of ICU discharge and mortality. In this paper, we consider ICU discharge as a competing risk in the sense that we aim to infer the risk of ‘ICU mortality’ over time that would be observed if nosocomial infections could be prevented for the entire study population. For this purpose we develop marginal structural subdistribution hazard models with accompanying estimation methods. In contrast to subdistribution hazard models with time-varying covariates, the proposed approach (a) can accommodate high-dimensional confounders, (b) avoids regression adjustment for post-infection measurements and thereby so-called collider-stratification bias, and (c) results in a well-defined model for the cumulative incidence function. The methods are used to quantify the causal effect of nosocomial pneumonia on ICU mortality using data from the National Surveillance Study of Nosocomial Infections in ICU’s (Belgium).     

A comparison of multiple imputation and doubly robust estimation for analyses with missing data

Summary.  Multiple imputation is now a well-established technique for analysing data sets where some units have incomplete observations. Provided that the imputation model is correct, the resulting estimates are consistent. An alternative, weighting by the inverse probability of observing complete data on a unit, is conceptually simple and involves fewer modelling assumptions, but it is known to be both inefficient (relative to a fully parametric approach) and sensitive to the choice of weighting model. Over the last decade, there has been a considerable body of theoretical work to improve the performance of inverse probability weighting, leading to the development of 'doubly robust' or 'doubly protected' estimators. We present an intuitive review of these developments and contrast these estimators with multiple imputation from both a theoretical and a practical viewpoint.     

The impact of changes in the marital status on return migration of family migrants

Many migrants have non-labour motives to migrate, and they differ substantially from labour migrants in their migration behaviour. For family migrants, the decision to return is highly influenced by changes in their marital status. Using administrative panel data on the entire population of recent family immigrants to the Netherlands, we estimate the effect of a divorce and remarriage on the hazard of leaving the Netherlands using a ‘timing of events’ model. The model allows for correlated unobserved heterogeneity across the migration, the divorce and remarriage processes. The family migrants are divided into five groups based on the Human Development Index (HDI) of their country of birth. We find that both divorce and remarriage increase return of family migrants from less-developed countries. Remarriage of family migrants from developed countries makes them more prone to stay. Young migrants are influenced most by a divorce. The impact of the timing of a divorce and remarriage on return is quantified graphically.     

Excess deaths and Hurricane María

Population and Environment - We clarify the distinction between direct and indirect effects of disasters such as Hurricane María and use data from the Puerto Rico Vital Statistics System to...     

Robust Resource Allocation Decisions in Resource‐Constrained Projects*

The well‐known deterministic resource‐constrained project scheduling problem involves the determination of a predictive schedule (baseline schedule or pre‐schedule) of the project activities that satisfies the finish–start precedence relations and the renewable resource constraints under the objective of minimizing the project duration. This baseline schedule serves as a baseline for the execution of the project. During execution, however, the project can be subject to several types of disruptions that may disturb the baseline schedule. Management must then rely on a reactive scheduling procedure for revising or reoptimizing the baseline schedule. The objective of our research is to develop procedures for allocating resources to the activities of a given baseline schedule in order to maximize its stability in the presence of activity duration variability. We propose three integer programming–based heuristics and one constructive procedure for resource allocation. We derive lower bounds for schedule stability and report on computational results obtained on a set of benchmark problems.     

Parental education, children's performance and the transition to higher secondary education: trends in primary and secondary effects over five Dutch school cohorts (1965–99)

According to Boudon, social background affects educational transitions as a result of differences in children's academic performance (primary effects) and differences in transition probabilities given children's level of academic performance (secondary effects). This study addresses historical changes in both primary and secondary effects on the educational transition from primary school to higher secondary education in the Netherlands. In addition, it considers changes over time in the relative importance of these effects. The study compares five cohorts of Dutch pupils, specifically those enrolling in secondary education in 1965, 1977, 1989, 1993 and 1999, and it employs counterfactual analyses. The main findings are that secondary effects have been stable and primary effects have fluctuated to some extent. As a result, the proportion of the total effect of social background accounted for by primary effects has increased somewhat, from 53 per cent to 58 per cent.     

Determinants of Nonprofit Sector Density: A Stakeholder Approach

Why do nonprofit organizations exist? From an economic perspective, a number of major theories have been proposed to explain their existence. However, when exploring determinants of nonprofit sector density, one needs to take into account that demand and supply factors operate simultaneously and that it is difficult to separate them. By using a stakeholder approach, we develop a more integrative framework for understanding variations in nonprofit sector density. We test this framework by investigating determinants of nonprofit sector density in Texas at the county level.