Off‐Time Pubertal Timing Predicts Physiological Reactivity to Postpuberty Interpersonal Stress

We investigated associations between retrospectively assessed timing of pubertal development, interpersonal interactions, and hypothalamic–pituitary–adrenal axis reactivity to an interpersonal stress task in 110 young adult women. Participants provided salivary cortisol samples at points prior and subsequent to a video‐taped conflict discussion with their romantic partner. Participants also provided subjective global ratings of their discussion on dimensions of conflict and support. For earlier developing girls, higher levels of interpersonal conflict were associated with greater physiological stress in anticipation of the discussion task and less physiological recovery following the discussion. In contrast, for later developing girls, low levels of conflict were associated with greater anticipatory stress and less physiological recovery. These findings have implications for understanding the influence of off‐time pubertal development on the lifetime development of young women.     

Listening to Young People with Learning Disabilities Who Have Experienced,or Are at Risk of,Child Sexual Exploitation in the UK

This paper reports on a UK study which examined the identification of, and support for young people with learning disabilities who experience, or are at risk of, child sexual exploitation (CSE). CSE has received considerable attention in the UK, with evidence suggesting an increased risk for young people with learning disabilities. However, no study has specifically focused on this group, and their voices remain largely unheard. In‐depth interviews with 27 young people with learning disabilities were undertaken to explore how to meet their needs. This paper presents the young people's voices and identifies areas for improvements in policy and practice.     

A breakpoint detection in the mean model with heterogeneous variance on fixed time intervals

Statistics and Computing - This work is motivated by an application for the homogenization of global navigation satellite system (GNSS)-derived integrated water vapour series. Indeed, these series...     

Factors associated with provider self‐efficacy in delivery of evidence‐based programs for children,youth, and families

Investments in training real‐world behavioral health providers in evidence‐based programs (EBPs) can be costly; thus, it is important to understand which providers may be more or less likely to implement such approaches after training. Provider self‐efficacy is associated with implementation of EBPs, but research on factors associated with provider self‐efficacy is less common. An exploratory, cross‐sectional, quantitative survey examined factors associated with provider self‐efficacy among 150 real‐world service providers who reported delivering EBPs to children, youth, or families in one U.S. state. Factors found to be associated with higher self‐efficacy included profession, workplace support, and extent of training received; difficulty engaging families was associated with lower self‐efficacy. Self‐efficacy was found to be associated with program use but not fidelity. Several organization‐level variables were identified as both facilitators and barriers to implementation of EBPs. Implications for research and practice are discussed.     

Human mobility and environmental change: a survey of perceptions and policy direction

Population and Environment - Research concerning human mobility in the context of environmental change is primarily focused on analyses of the nexus itself. We have taken a less-travelled route,...     

Food Safety Objectives Should Integrate the Variability of the Concentration of Pathogen

The World Trade Organization introduced the concept of appropriate level of protection (ALOP) as a public health target. For this public health objective to be interpretable by the actors in the food chain, the concept of food safety objective (FSO) was proposed by the International Commission on Microbiological Specifications for Foods and adopted later by the Codex Alimentarius Food Hygiene Committee. The way to translate an ALOP into a FSO is still in debate. The purpose of this article is to develop a methodological tool to derive a FSO from an ALOP being expressed as a maximal annual marginal risk. We explore the different models relating the annual marginal risk to the parameters of the FSO depending on whether the variability in the survival probability and in the concentration of the pathogen are considered or not. If they are not, determination of the FSO is straightforward. If they are, we propose to use stochastic Monte Carlo simulation models and logistic discriminant analysis in order to determine which sets of parameters are compatible with the ALOP. The logistic discriminant function was chosen such that the kappa coefficient is maximized. We illustrate this method by the example of the risks of listeriosis and salmonellosis in one type of soft cheese. We conclude that the definition of the FSO should integrate three dimensions: the prevalence of contamination, the average concentration per contaminated typical serving, and the dispersion of the concentration among those servings.     

Screening for recommended antenatal risk factors: How long does it take?

Background

Detection and management of antenatal risk factors is critical for quality care.

Sampling and empirical risk minimization

ABSTRACT

In certain situations that shall be undoubtedly more and more common in the Big Data era, the datasets available are so massive that computing statistics over the full samples is hardly feasible, if not unfeasible. A natural approach in this context consists in using survey schemes and substituting the ‘full data’ statistics with their counterparts based on the resulting random samples, of manageable size. It is the main purpose of this paper to investigate the impact of survey sampling on statistical learning methods based on empirical risk minimization through the standard binary classification problem, considered here as a ‘case in point’. Precisely, we prove that, in presence of auxiliary information, appropriate use of optimally coupled Poisson survey plans may not affect much the learning rates, while possibly reducing significantly the number of terms that must be averaged to compute the empirical risk functional with overwhelming probability. These striking results are next shown to extend to more general sampling schemes by means of a coupling technique, originally introduced by Hajek [Asymptotic theory of rejective sampling with varying probabilities from a finite population. Ann Math Stat. 1964;35(4):1491–1523].