Dynamic GSCA (Generalized Structured Component Analysis) with Applications to the Analysis of Effective Connectivity in Functional Neuroimaging Data

We propose a new method of structural equation modeling (SEM) for longitudinal and time series data, named Dynamic GSCA (Generalized Structured Component Analysis). The proposed method extends the original GSCA by incorporating a multivariate autoregressive model to account for the dynamic nature of data taken over time. Dynamic GSCA also incorporates direct and modulating effects of input variables on specific latent variables and on connections between latent variables, respectively. An alternating least square (ALS) algorithm is developed for parameter estimation. An improved bootstrap method called a modified moving block bootstrap method is used to assess reliability of parameter estimates, which deals with time dependence between consecutive observations effectively. We analyze synthetic and real data to illustrate the feasibility of the proposed method.     

Skill‐based versus effort‐based task difficulty: A task‐analysis approach to the role of specific emotions in motivating difficult actions

We make a distinction between primarily effort-based and skilled-based tasks and examine the correspondence between emotion and task. We reverse attribution theory results wherein failure to expend effort engenders regret and accomplishing tasks with skill engenders pride, and propose these emotions as antecedents to effort-based and skill-based behaviors. Specifically, pride (regret) produces higher self-efficacy, behavioral intentions and sign-ups when the task (CPR training) is portrayed as skill-intensive (effort-intensive) compared to effort-intensive (skill-intensive) or easy. Our research highlights the value of integrating an attributional analysis of tasks into an appraisal theory of emotions and suggests mechanisms that might underlie this relationship.     

Nine-month-old infants generalize object labels, but not object preferences across individuals

As with all culturally relevant human behaviours, words are meaningful because they are shared by the members of a community. This research investigates whether 9-month-old infants understand this fundamental fact about language. Experiment 1 examined whether infants who are trained on, and subsequently habituated to, a new word-referent link expect the link to be consistent across a second speaker. Experiment 2 examined whether 9-month-old infants distinguish between behaviours that are shared across individuals (i.e. words) from those that are not (i.e. object preferences). The present findings indicate that infants as young as 9 months of age expect new word-referent links, but not object preferences, to be consistent across individuals. Thus, by 9 months, infants have identified at least one of the aspects of human behaviour that is shared across individuals within a community. The implications for children's acquisition of language and culture are discussed.     

Age at menarche and digit ratio (2D:4D): relationships with body dissatisfaction, drive for thinness, and bulimia symptoms in women

This study examined the hypothesis that lower prenatal androgen exposure and earlier puberty are associated with more dysfunctional eating attitudes and behaviors. Relationships between both age at menarche (AAM) and 2D:4D (a marker of prenatal androgen exposure), and EDI-2-Body Dissatisfaction, EDI-2-Drive for Thinness, and EDI-2-Bulimia scores, were examined in women using correlations and regressions. Earlier menarche was associated with higher drive for thinness after controlling for BMI and negative affect, but only in women who were not exclusively heterosexual. Higher 2D:4D was associated with higher Bulimia and Body Dissatisfaction scores, but only in exclusively heterosexual women, and relationships disappeared when covariates were controlled. Later AAM and higher 2D:4D were unique predictors of higher Bulimia scores for exclusive heterosexuals when BMI was controlled. These findings suggest future research should examine sexual orientation as a mediator or moderator of prenatal and postnatal organizational hormonal effects on women's disordered eating attitudes and behaviors.     

Inanspruchnahme psychosozialer Versorgungsstrukturen

In spite of the high proportion of persons with a migration background in Germany, professional mental health care utilization by this population group still seems to be insufficient. This could be due to social as well as structural and individual barriers which impede the professional mental health care-seeking process. The heuristic Mental Health Action Process Approach (M-HAPA) model was developed in order to be able to empirically investigate the specific mechanism of action as well as the specific time of influence of these factors. An empirically supported model should possibly be able to justify targeted interventions. The M-HAPA model describes mental health care utilization behavior, combines the basic ideas of already existing models describing health behavior and health care utilization behavior as well as factors which are specifically relevant for the health care utilization behavior of persons with a migration background. This combination may serve as a basis for future research in the field of mental health care utilization behavior of persons with a migration background.     

Children’s developing views of social excluders: A dissociation between social evaluation and partner preference

When facing social exclusion, children seek to strengthen existing social connections and form new ones. This study asked whether they also make strategic choices about the targets of their affiliative goals. Three- to six-year-olds (N = 69; 36 female; mostly non-Hispanic White) observed characters acting inclusively or exclusively. All ages viewed excluders more negatively than includers, but only five- and six-year-olds preferred includers as play partners. Despite easily detecting and remembering exclusion events, younger children expressed no play partner preference. Children's verbal justifications revealed that older children choose partners more carefully and draw on a richer understanding of exclusion. More generally, the initial dissociation between social evaluation and preference formation underscores that these are distinct processes with different developmental trajectories.     

Biopsychosocial Factors Associated with Parenting Stress in Pediatric Sickle Cell Disease

Caregivers of children with sickle cell disease (SCD) experience significant physical and emotional hardship with their child’s disease management. Little is known about the potential contributors to parenting stress in pediatric SCD. The present study aimed to identify child and caregiver biopsychosocial factors associated with disease-related parenting stress in pediatric SCD. Participants included 74 caregiver-youth dyads. Parenting stress was associated with increased child pain frequency, more missed school days, and increased healthcare utilization, and inversely correlated with caregiver mental health and social-emotional functioning. Parenting stress also partially explained the relationship between child pain frequency and healthcare utilization after controlling for parent depression and anxiety. Parenting stress may play a unique and critical role in pediatric SCD and underscore the impact parenting stress may have on youth in medical and academic settings. Further research is warranted to determine risk factors and appropriate interventions for parenting stress to improve comprehensive patient care.

     

Artificial Intelligence and Medical Humanities

The use of artificial intelligence in healthcare has led to debates about the role of human clinicians in the increasingly technological contexts of medicine. Some researchers have argued that AI will augment the capacities of physicians and increase their availability to provide empathy and other uniquely human forms of care to their patients. The human vulnerabilities experienced in the healthcare context raise the stakes of new technologies such as AI, and the human dimensions of AI in healthcare have particular significance for research in the humanities. This article explains four key areas of concern relating to AI and the role that medical/health humanities research can play in addressing them: definition and regulation of “medical” versus “health” data and apps; social determinants of health; narrative medicine; and technological mediation of care. Issues include data privacy and trust, flawed datasets and algorithmic bias, racial discrimination, and the rhetoric of humanism and disability. Through a discussion of potential humanities contributions to these emerging intersections with AI, this article will suggest future scholarly directions for the field.