Alcoholism as Sickness and Wrongdoing

It is now commonplace to call persons sick when their wrongdoing becomes entrenched, extensive, and extreme. This mixing of moral and therapeutic categories seems incoherent if we uncritically embrace a morality-therapy dichotomy: Behavioral problems like alcoholism are either moral or therapeutic matters, but not both. This paper dissolves the dichotomy by arguing that chronically abusive drinking is simultaneously a sickness and wrongdoing. Alcoholism is at least partly a self-inflicted impairment of responsible agency that has unhealthy consequences and usually requires therapeutic interventions. Morality and therapy are not inherently opposed. Morality enjoins compassionate helping and nonjudgemental therapy, and therapy is rooted in moral values of caring and respect. The polarized positions of Herbert Fingarette in Heavy Drinking and George E. Vaillant in The Natural History of Alcoholism are reconciled by paying close attention to their accounts of the condition, causes, consequences, and cure of alcoholism.     

Modelling Variability in the Branching Structure of Strawberry Inflorescences

The branching structure of inflorescences of the cultivated strawberry ( Fragaria × ananassa Duch.) is very variable. This paper demonstrates that some aspects of this variability are well described by a simple stochastic model of branching that has two adjustable parameters. The model is shown to provide a good fit to data from a set of almost 700 inflorescences of the cultivar Elsanta, collected over two successive years. For one parameter the maximum likelihood estimator is a moment estimator which is fully efficient even if the detailed branching structure of the inflorescences is not recorded. This parameter provides a convenient summary of branching vigour. The maximum likelihood estimator of the second parameter must be determined iteratively and can be quite inefficient unless the full branching structure is recorded. The model demonstrates that branching structure is affected by the order in which inflorescences emerge on the plant.     

Discrete–Time Approximations of the Holmström–Milgrom Brownian–Motion Model of Intertemporal Incentive Provision

This paper studies the relation between discrete–time and continuous–time principal–agent models. We derive the continuous–time model as a limit of discrete–time models with ever shorter periods and show that optimal incentive schemes in the discrete–time models approximate the optimal incentive scheme in the continuous model, which is linear in accounts. Under the additional assumption that the principal observes only cumulative total profits at the end and the agent can destroy profits unnoticed, an incentive scheme that is linear in total profits is shown to be approximately optimal in the discrete–time model when the length of the period is small.     

Behavioral pathways to private well risk mitigation: A structural equation modeling approach

Complex, multihazard risks such as private groundwater contamination necessitate multiannual risk reduction actions including seasonal, weather-based hazard evaluations. In the Republic of Ireland (ROI), high rural reliance on unregulated private wells renders behavior promotion a vital instrument toward safeguarding household health from waterborne infection. However, to date, pathways between behavioral predictors remain unknown while latent constructs such as extreme weather event (EWE) risk perception and self-efficacy (perceived behavioral competency) have yet to be sufficiently explored. Accordingly, a nationwide survey of 560 Irish private well owners was conducted, with structural equation modeling (SEM) employed to identify underlying relationships determining key supply management behaviors. The pathway analysis (SEM) approach was used to model three binary outcomes: information seeking, post-EWE action, and well testing behavior. Upon development of optimal models, perceived self-efficacy emerged as a significant direct and/or indirect driver of all three behavior types—demonstrating the greatest indirect effect (β = −0.057) on adoption of post-EWE actions and greatest direct (β = 0.222) and total effect (β = 0.245) on supply testing. Perceived self-efficacy inversely influenced EWE risk perception in all three models but positively influenced supply awareness (where present). Notably, the presence of a vulnerable (infant and/or elderly) household member negatively influenced adoption of post-EWE actions (β = −0.131, p = 0.016). Results suggest that residential and age-related factors constitute key demographic variables influencing risk mitigation and are strongly mediated by cognitive variables—particularly self-efficacy. Study findings may help contextualize predictors of private water supply management, providing a basis for future risk-based water interventions.     

Nonparametric Engel Curves and Revealed Preference

This paper applies revealed preference theory to the nonparametric statistical analysis of consumer demand. Knowledge of expansion paths is shown to improve the power of nonparametric tests of revealed preference. The tightest bounds on indifference surfaces and welfare measures are derived using an algorithm for which revealed preference conditions are shown to guarantee convergence. Nonparametric Engel curves are used to estimate expansion paths and provide a stochastic structure within which to examine the consistency of household level data and revealed preference theory. An application is made to a long time series of repeated cross–sections from the Family Expenditure Survey for Britain. The consistency of these data with revealed preference theory is examined. For periods of consistency with revealed preference, tight bounds are placed on true cost of living indices.     

Prevalence of Low Physical Activity and its Relation to Social Environment in Deprived Areas in the London Borough of Redbridge

Achieving adequate levels of physical activity (PA) is important to maintain health and prevent chronic disease. The costs of inadequate physical activity to the NHS have been estimated at over a billion pounds annually. While socio-demographic characteristics such as age, sex and ethnicity have been reported to be associated with different levels of PA, there is evidence that people??s social environments may also be important in encouraging a physically active lifestyle. The objective of this paper is to describe associations between the social environment and physical activity among the poorer communities in an outer London Borough, when other socio-demographic factors are controlled for. A household survey was carried out in six poorer neighbourhoods in Redbridge in 2008 as part of a wider health needs assessment. The questionnaire included questions allowing estimation of levels of physical activity as well as extent of social environment [social network score (SNS) and social support score (SSS)]. A random sample of households was taken and a total of 799 completed responses from over 16 year old were obtained. The association between physical activity and the social environment controlling for socio-demographic characteristics was estimated using a logistic nested model. Higher SNS was significantly associated with younger age, Black ethnicity, higher education level, higher household income and higher levels of PA in bivariate analyses. Higher SSS was positively associated with Indian ethnicity, higher household income and area of residence. In multivariate analyses higher levels of PA were significantly associated with wider social networks and stronger social support, educational level and marital status. Despite its limitations, our findings confirm that the relationship between low physical activity and weak social networks and low social support, observed in general population studies, also occurs in deprived communities in London. The relationship merits further exploration given the limited evidence on the effectiveness of interventions to promote physical activity.     

Bioecological Theory, Early Child Development and the Validation of the Population-Level Early Development Instrument

The Early Development Instrument (EDI; Janus and Offord in Canadian Journal of Behavioural Science 39:1–22, 2007) project is a Canadian population-level, longitudinal research project, in which teacher ratings of Kindergarten children’s early development and wellbeing are linked to health and academic achievement variables at the individual level, and to demographic, cultural, and socioeconomic variables at the community level. In this article, we draw from Bronfenbrenner’s bioecological theory of human development to create a coherent theoretical framework for guiding validation research within a population-level approach to child development research in general and for the EDI project in particular. The discussion draws from a range of social and health sciences as well as validity theory. The paper seeks to align complex conceptual, theoretical, methodological, and psychometric considerations, to provide specific design, methodology, and validation recommendations for a population-level approach to studying children’s development and wellbeing, and to discuss the strengths and challenges of this approach.     

An agenda for future research regarding the mental health of young people with care experience

Young people who are currently or were previously in state care have consistently been found to have much higher rates of mental health and neurodevelopmental difficulties than the general youth population. While a number of high-quality reviews highlight what research has been undertaken in relation to the mental health of young people with care experience and the gaps in our knowledge and understanding, there is, until now, no consensus, so far as we aware, as to where our collective research efforts should be directed with this important group. Through a series of UK wide workshops, we undertook a consultative process to identify an agreed research agenda between those with lived experience of being in care (n = 15), practitioners, policy makers and researchers (n = 59), for future research regarding the mental health of young people with care experience, including those who are neurodiverse/have a neurodevelopmental difficulty. This consensus statement identified 21 foci within four broad categories: how we conceptualize mental health; under-studied populations; under-studied topics; and underused methodologies. We hope that those who commission, fund and undertake research will engage in this discussion about the future agenda for research regarding the mental health of young people with care experience.     

Substance use and other factors associated with child welfare case duration: Looking beyond out of home care

Little is known about factors associated with child welfare case duration. Understanding factors associated with case duration may help stakeholders make more informed decisions about funding and service allocation and improve compliance with federal law. This study had two research questions: (1) What factors are associated with child welfare case duration? And (2) Do factors differ depending on whether children were placed exclusively with parents or with others (e.g. relatives and foster care) during the case? The study sample consisted of families (N = 874) with co-occurring child maltreatment and substance use in one midwestern state in the United States between 2007 and 2016. Linear regression models were used to identify correlates of case duration while controlling for child placement status. Overall, having a child under 1 year of age, benzodiazepine use, methamphetamine use and injection drug use were all associated with longer case duration, whereas marijuana use with no other substance use was associated with shorter case duration. Additionally, factors associated with case duration differed based on child placement status during the case. These findings suggest important heterogeneity in families involved with child welfare services and may allow for proactive mitigation of cases at greater risk.