Toward Father‐friendly Parenting Interventions: A Qualitative Study

Levels of father participation in parenting interventions are often very low, yet little is known about the factors which influence father engagement. We aimed to qualitatively explore perceived barriers to, and preferences for, parenting interventions in a community sample of fathers. Forty‐one fathers across nine focus groups were interviewed using a semi‐structured interview. Data were analysed using inductive thematic analysis. Key barriers to father participation identified included: the perception that interventions are mother‐focused; beliefs about gender roles regarding parenting and help‐seeking; mothers’ role as ‘gatekeeper’; lack of knowledge and awareness of parenting interventions; and lack of relevance of interventions. Fathers reported preferences for specific content and intervention features, facilitator characteristics, practical factors, and highlighted the need for father‐targeted recruitment and advertising. Many of the barriers and preferences identified are consistent with previous research; however, fathers’ beliefs and attitudes around gender roles and help‐seeking, as well as the perception that interventions are predominantly mother‐focused, may be key barriers for community fathers. Strategies to overcome these barriers and better meet the needs of fathers in promoting and delivering parenting interventions are discussed.     

Ergonomic risk assessment of nasogastric tube placement and implications for design and training

The placement of nasogastric (NG) tubes is known to be prone to error and may lead to serious issues for patient safety and wellbeing. In some instances these have been catastrophic and resulted in the death of the patient. This study sought to explore the potential risks associated with this procedure through the use of systematic prospective risk assessment. The research team used the Prospective Hazard Analysis (PHA) toolkit developed by Ward et al (2010) . The study has shown a wide number of risks that cover equipment design, work organisation, and training issues. The link between equipment design and training provides an important example of the need for a systematic approach to reducing errors and improving resilience in this aspect of healthcare.     

Maternal Household Decision-Making Autonomy and Adolescent Education in Honduras

Maternal decision-making autonomy has been linked to positive outcomes for children’s health and well-being early in life in low- and middle-income countries throughout the world. However, there is a dearth of research examining if and how maternal autonomy continues to influence children’s outcomes into adolescence and whether it impacts other domains of children’s lives beyond health, such as their education. The goal of this study was to determine whether high maternal decision-making was associated with school enrollment for secondary school-aged youth in Honduras. Further, we aimed to assess whether the relationships between maternal autonomy and school enrollment varied by adolescents’ environmental contexts and individual characteristics such as gender. Our analytical sample included 6579 adolescents ages 12–16 living with their mothers from the Honduran Demographic and Health Survey (DHS) 2011–2012. We used stepwise logistic regression models to investigate the association between maternal household decision-making autonomy and adolescents’ school enrollment. Our findings suggest that adolescents, especially girls, benefit from their mothers’ high decision-making autonomy. Findings suggest that maternal decision-making autonomy promotes adolescents’ school enrollment above and beyond other maternal, household, and regional influences.     

The bivariate alpha-skew-normal distribution

In this paper, we propose a new bivariate distribution, namely bivariate alpha-skew-normal distribution. The proposed distribution is very flexible and capable of generalizing the univariate alpha-skew-normal distribution as its marginal component distributions; it features a probability density function with up to two modes and has the bivariate normal distribution as a special case. The joint moment generating function as well as the main moments are provided. Inference is based on a usual maximum-likelihood estimation approach. The asymptotic properties of the maximum-likelihood estimates are verified in light of a simulation study. The usefulness of the new model is illustrated in a real benchmark data.     

Trend estimation of multivariate time series with controlled smoothness

This paper extends the univariate time series smoothing approach provided by penalized least squares to a multivariate setting, thus allowing for joint estimation of several time series trends. The theoretical results are valid for the general multivariate case, but particular emphasis is placed on the bivariate situation from an applied point of view. The proposal is based on a vector signal-plus-noise representation of the observed data that requires the first two sample moments and specifying only one smoothing constant. A measure of the amount of smoothness of an estimated trend is introduced so that an analyst can set in advance a desired percentage of smoothness to be achieved by the trend estimate. The required smoothing constant is determined by the chosen percentage of smoothness. Closed form expressions for the smoothed estimated vector and its variance-covariance matrix are derived from a straightforward application of generalized least squares, thus providing best linear unbiased estimates for the trends. A detailed algorithm applicable for estimating bivariate time series trends is also presented and justified. The theoretical results are supported by a simulation study and two real applications. One corresponds to Mexican and US macroeconomic data within the context of business cycle analysis, and the other one to environmental data pertaining to a monitored site in Scotland.     

Identity Work,Techniques of Neutralization,and Deviance: Exploring the Relationship Among Older Adult Gamblers

This study investigates the value of techniques of neutralization in understanding how people involved in marginal to widely deviant behaviors perform identity work. Based on 33 in‐depth interviews with older adult gamblers, we show how techniques of neutralization are used to align personal and social identities. We describe the techniques of neutralizations our participants use along a continuum of gambling involvement, showing how techniques differ in variety and content and are contingent on larger narratives about appropriate behaviors, identities, and selves operating in contemporary society. Our research helps to refine sociologists' understandings of relationships between levels of involvement in deviant behaviors and identity work.     

The Development of a Reliable Change Index and Cutoff for the Revised Dyadic Adjustment Scale

The Revised Dyadic Adjustment Scale (RDAS; Busby, Crane, Larson, & Christensen, 1995) is a measure of couple relationship adjustment that is often used to differentiate between distressed and non‐distressed couples. While the measure currently allows for a determination of whether group mean scores change significantly across administrations, it lacks the ability to determine whether an individual's change in dyadic adjustment is clinically significant. This study addresses this limitation by establishing a cutoff of 47.31 and reliable change index of 11.58 for the RDAS by pooling data across multiple community and clinical samples. An individual whose score on the RDAS moves across the cutoff changes by 12 or more points can be classified as experiencing clinically significant change.     

Quantifying Intrinsic and Extrinsic Contributions to Human Longevity: Application of a Two-Process Vitality Model to the Human Mortality Database

The rise in human life expectancy has involved declines in intrinsic and extrinsic mortality processes associated, respectively, with senescence and environmental challenges. To better understand the factors driving this rise, we apply a two-process vitality model to data from the Human Mortality Database. Model parameters yield intrinsic and extrinsic cumulative survival curves from which we derive intrinsic and extrinsic expected life spans (ELS). Intrinsic ELS, a measure of longevity acted on by intrinsic, physiological factors, changed slowly over two centuries and then entered a second phase of increasing longevity ostensibly brought on by improvements in old-age death reduction technologies and cumulative health behaviors throughout life. The model partitions the majority of the increase in life expectancy before 1950 to increasing extrinsic ELS driven by reductions in environmental, event-based health challenges in both childhood and adulthood. In the post-1950 era, the extrinsic ELS of females appears to be converging to the intrinsic ELS, whereas the extrinsic ELS of males is approximately 20 years lower than the intrinsic ELS.