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Background Executive functioning (EF) predicts better Type 1 diabetes (T1D) management in the high-risk years after high school, but the daily self-regulation processes involved are unclear. Purpose To examine whether EF is associated with daily self-regulation that minimizes one’s exposure or buffers adverse reactions to daily diabetes problems, and to determine whether these patterns become stronger during the transition out of high school. Methods A measurement burst design with convenience sampling was used. Seniors in high school with T1D (N = 207; 66% female) completed self-report (i.e., Behavioral Rating Inventory of Executive Functioning) and performance measures of EF (i.e., Delis-Kaplan Executive Function System). A 14-day daily diary assessing self-regulation failures, diabetes problems, affect, and indicators of diabetes management was completed at baseline and 1 year later. Results Correlations and multilevel modeling were conducted. Lower self-reported EF problems were associated with lower average levels of daily self-regulation failures, and these variables were associated with fewer daily diabetes problems. In contrast, better EF performance was unrelated to average daily self-regulation failures, and was unexpectedly associated with more frequent diabetes problems in year 2. Equally across years, on days participants reported lower than their average levels of daily self-regulation failures, they had fewer diabetes problems, regardless of EF. On days with lower than average diabetes problems, participants reported better diabetes management indicators. EF generally did not buffer daily associations in either year. Conclusions Regardless of EF, promoting daily self-regulation may prevent diabetes problems and promote T1D management in daily life at this high-risk transitional time.

Objective Suicide risk is a nonlinear temporal process, but the ways in which suicide-focused interventions have statistically examined risk effects have ignored these nonlinearities. This paper highlights the potential benefits of using data analytic methods that account for nonlinear change patterns. Method Using a dynamical systems perspective, interventions are framed in terms of attractor dynamics. An attractor has three primary qualities where an intervention can have an effect. These correspond to contextual differences, shifts in the underlying temporal patterns, and changes in the stability of the temporal pattern. Results/conclusions It is argued that the ideal effect is one in which there is both an observed change in stability and a shift in the underlying temporal pattern toward less risk. Other types of intervention effects can have alternate explanations that are less desirable. Mean, variance, and growth differences are discussed within a systems context, and an example model is provided using Latent Change Score Modeling (McArdle, Annual Review of Psychology, 60, 2009, 577-605).

Whether visible and invisible social support are beneficial depends on contextual factors, such as relationship satisfaction. The purpose of the present study was to examine whether differences in support provision are impactful in type 1 diabetes (T1D), which involves frequent opportunities for partners to provide support. We hypothesized that invisible support may be beneficial only when relationship satisfaction is high and also that relationship satisfaction may relate to greater visibility of provided support. We tested these hypotheses in a sample of 199 adult persons with T1D (PWD) and their spouses. Using a 14-day diary, PWD reported diabetes support from partners. Partners reported support provided. Invisible support was coded when PWD reported receiving no support, but partners reported providing it. If both PWD and their partner indicated support received/provided, the day was coded as visible support. Glucometers measured daily blood glucose. Participants reported baseline relationship satisfaction and daily positive and negative affect. Results indicated there were no main effects of support visibility on blood glucose or affect. Analyses showed invisible support was associated with lower mean blood glucose, smaller standard deviation of mean blood glucose, and lower average daily risk only when partner relationship satisfaction was high. Both spouses’ greater relationship satisfaction was associated with more visible and less invisible support. The results contribute to the literature on invisible support, by indicating that it may yield beneficial outcomes primarily when partners are more satisfied. Overall, however, invisible support might occur more in less satisfied relationships.

The ongoing COVID-19 pandemic is disproportionately impacting marginalized communities, such as Black, Indigenous, and people of color (BIPOC), disabled individuals, and transgender/nonbinary (i.e., trans) individuals. As trans individuals may be multiply marginalized, it is necessary to examine within group differences among trans individuals of different genders, races, socioeconomic statuses, and abilities. This study examines the following research questions: (1) What is the quality of life of trans adults during the COVID-19 pandemic? (2) How does the self-reported impact of the pandemic vary across groups within the trans community? (3) What preferences do trans adults have regarding receiving a COVID-19 vaccine? Survey data were collected in August/September of 2020. Among a sample of 449 trans adults, findings suggest that the profound impact of the pandemic was not consistent across all community members. Being a woman predicted a higher self-reported impact of the pandemic while being a masc(uline) white respondent tended to predict a lower impact of the pandemic. Higher income was associated with a higher quality of life and being a disabled white respondent predicted a lower quality of life. The majority (99%) of the sample reported wanting to receive a COVID-19 vaccine should one become available. Implications for practice include the importance of considering the holistic experiences of clients and community members, as opposed to having homogenized perspectives of even subsets of the trans community. Future research related to barriers faced when attempting to access a vaccine is needed to inform future public health responses to epidemics/pandemics impacting this community.

The revised criteria for posttraumatic stress disorder (PTSD) in the fifth edition of the Diagnostic and Statistical Manual necessitated the development of new screening tools for youth, one of the most widely used of which is the UCLA Posttraumatic Stress Disorder Reaction Index for DSM-5 (RI-5). Thus far, the few studies that have investigated the RI-5’s factor structure have supported a four-factor model. However, to date this research has been limited to youth with histories of exposure to single-event traumatic stressors, a significant limitation as evidence suggests many trauma-exposed youth report exposure to multiple types of traumatic stressors, or polyvictimization. It is imperative to determine the generalizability of previous factor models to specific populations which they are purported to represent. We investigated whether the RI-5’s four-factor model replicated in a sample of 455 polyvictimized justice-involved adolescents. Initial confirmatory factor analysis demonstrated that the four-factor model did not converge. Therefore, we utilized Bayesian Structural Equations Modeling (BSEM) to determine why the previously proposed factor structure did not converge. The BSEM model suggested that the global factor structure was acceptable and did not require addition or subtraction of any factor or cross-factor loadings. However, small and moderate residual covariances resulted in model misspecification, suggesting there may be additional associations not captured by the current DSM-5 model for polyvictimized youth. Future work should continue examining the RI-5’s factor structure in order to better understand whether the current results are unique and how measurements assessing DSM-5 PTSD symptom criteria perform in diverse trauma-exposed youth populations.

Object perception occurs within a dynamic world, where the environment and the observer (both body and eyes) are continually moving, shifting and changing. We seek to characterize and quant...

OBJECTIVE The objective of this study was to examine 1) whether teens’ glycemic control and adherence to type 1 diabetes treatment regimen worsen during the transition from late adolescence to emerging adulthood, and 2) whether teens’ executive function (EF), as measured by performance and self-reported problems with EF, is predictive of these changes (after controlling for general intelligence). RESEARCH DESIGN AND METHODS High school seniors with type 1 diabetes (N = 236; mean age 17.74 years) were assessed at three yearly time points. At baseline, during the senior year of high school, participants completed a self-report measure of problems with EF and performance-based measures of EF and general intelligence (IQ). Glycemic control was determined on the basis of results collected from HbA1c assay kits, and teens reported their adherence at all three time points. RESULTS HbA1c increased significantly across the three time points and adherence declined. EF performance was not associated with adherence or HbA1c at baseline, nor with changes in adherence over time. However, better EF performance predicted slower increases in HbA1c over time (i.e., slope) while controlling for IQ. Teens’ self-reported problems with EF were associated with worse glycemic control and poorer adherence at baseline (i.e., intercept), but they did not predict changes in either HbA1c or adherence over time (i.e., slope). CONCLUSIONS Abilities involved in performance on EF tests may be one resource for maintaining better glycemic control during the transition to emerging adulthood. Assessment of such EF abilities may allow for the identification of individuals who are most at risk for deterioration of glycemic control during this transition.

BackgroundType 1 diabetes management involves self- and social-regulation, with past research examining components through individual differences unable to capture daily processes.PurposeDynamical systems modeling was used to examine the coordinative structure of self- and social-regulation (operationalized as parental-regulation) related to daily diabetes management during late adolescence.MethodsTwo hundred and thirty-six late adolescents with type 1 diabetes (M age = 17.77 years, SD = .39) completed a 14-day diary reporting aspects of self- (e.g., adherence behaviors, cognitive self-regulation failures, and positive and negative affect) and parental-regulation (disclosure to parents, knowledge parents have, and help parents provide).ResultsSelf-regulation functioned as one coordinative structure that was separate from parental-regulation, where mothers and fathers were coordinated separately from each other. Mothers' perceived helpfulness served as a driver of returning adolescents back to homeostasis.ConclusionsThe results illustrate a dynamic process whereby numerous facets of self- and social-regulation are coordinated in order to return diabetes management to a stable state.

Early emerging adulthood (ages 18–25) is a time of risk for type 1 diabetes (T1D) when relationships with parents and providers are changing. We examined whether individuals’ high-quality relationships with mothers are associated with greater perceptions of patient-centered communication (PCC) with their doctor and whether PCC is associated with better adherence and glycemic control through diabetes-related self-efficacy. Additionally, we tested whether associations of PCC with self-efficacy and diabetes outcomes are stronger among those who had transferred to adult care. One-year post-high school, 217 individuals with T1D (60% women, 53% in adult care) reported perceptions of maternal relationship quality, PCC, self-efficacy, and adherence. Glycemic control was measured via HbA1c assay kits. Structural equation modeling indicated good model fit and revealed indirect paths linking higher maternal relationship quality to better adherence through higher PCC, and higher PCC to better HbA1c through adherence. Transfer status moderated the link between PCC and self-efficacy, suggesting PCC may be especially important when emerging adults transfer to adult care.

Emerging adults with Type 1 diabetes benefit when parents remain knowledgeable of their self-management. Yet how early emerging adults remain connected with parents while they experience normative declines in involvement and move out of the parental home is unclear. The present study examined how disclosure to, and solicitation from, parents may (a) be a way that emerging adults and parents remain connected, (b) occur with different methods of contact (i.e., face-to-face; non-face-to-face), and (c) associate with diabetes management differently for those living in versus outside of the parental home. Early emerging adults with Type 1 diabetes (N = 202; Mage = 18.81 years; 66% female) completed measures of their methods of contact with parents; diabetes-related disclosure to, and solicitation from, parents; and diabetes management as part of a 14-day daily diary. General linear models found that face-to-face contact was associated with greater disclosure to parents, for both those living in and out of the parental home. Individuals who lived outside the parental home used more non-face-to-face contact (e.g., texting) than those in the parental home. Multilevel models revealed that higher disclosure to mothers on a daily basis (within-persons) and to mothers and fathers overall (between-persons) was associated with better diabetes management similarly for those living in versus out of the parental home. Results suggest that face-to-face contact may be most effective for keeping parents "in the know" about diabetes management. Moreover, disclosure and solicitation continue to support diabetes management even as individuals move out of the parental home. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Men show a consistent spatial navigation advantage over women, which is often attributed to their increased use of survey spatial strategies. But what about men's navigation gives them an advantage? One possibility is that the way in which men explore environments is fundamentally different, leading to better navigational performance. To test this possibility, this study investigated whether there are gender differences in wayfinding behaviors during navigation that relate to navigational success in a real-world, large-scale, unconstrained navigation task. West Point cadets were given a masked GPS tracker and sent into a large-scale, natural environment to locate targets indicated on maps. We assessed how they explored the environment by computing three measures from the GPS tracks and related these measures to their ability to find the assigned target locations. We also tested whether their self-reported spatial ability related to navigational success. Results showed that males performed better than females, which replicates prior work. Further, traveling longer distances without changing course, pausing less, and fewer returns to previously visited locations were significantly related to the ability to locate the correct target. Consistent with full mediation, the significant relationship between gender and navigational success is fully accounted for by men and women producing different wayfinding behaviors, which in turn predict differences in navigational success. Further, there was no unique relationship between self-reported spatial skills and navigational success. This study is a first step toward showing the relationship between gender, wayfinding behaviors, and navigational success in a natural, real-world navigation task.

To examine how self-regulation and social-regulation surrounding type 1 diabetes (T1D) management are coordinated during early emerging adulthood and whether classes of coordination relate to HbA1c and executive functioning (EF). Emerging adult participants (N = 212) with T1D (M age = 18.8 years, SD = .40) completed a 14-day diary to capture components of self-regulation and social-regulation. A mixture multi-level latent coordination model first determined the separate but coordinated factor structure of self- and social-regulation, then determined the number of distinct classes of coordination and how those classes linked to HbA1c and EF. The best-fitting model included three coordinative factors (self, mother, and father) of regulation and two distinct classes. The class with lower HbA1c and higher EF had more stable self- and social-regulation, more connections between self- and social-regulation and reflected more adaptive patterns, consistent with medical management goals. Social connection with parents may aid in regulation during this at-risk transitional time of emerging adulthood.

Objective To examine (a) changes in parental involvement across early emerging adulthood, (b) whether yearly fluctuations in parental involvement were associated with adherence and glycated hemoglobin (HbA1c) over time, and (c) whether higher involvement was more beneficial for those with poorer executive function (EF). Methods A total of 228 high school seniors (M age = 17.76) with type 1 diabetes reported on mothers’ and fathers’ acceptance, knowledge of diabetes activities, disclosure to mothers and fathers regarding diabetes, and adherence at four yearly time points. At baseline, participants completed performance-based measures of EF. HbA1c was collected from assay kits. Results Growth curve models revealed significant declines in disclosure to fathers and mothers’ and fathers’ knowledge of diabetes activities; no changes were found in mothers’ or fathers’ acceptance nor disclosure to mothers. Multilevel models indicated significant between-person effects for nearly all aspects of parental involvement with more acceptance, knowledge, and disclosure associated with better HbA1c and adherence. Within-person effects for disclosure to fathers, and mothers’ and fathers’ knowledge indicated that in years when emerging adults perceived higher amounts of these types of involvement (compared with their own average), HbA1c was lower. Within-person effects were found for acceptance to mothers, disclosure to mothers and fathers, and mothers’ diabetes knowledge for adherence. Disclosure to fathers and mothers’ knowledge of diabetes activities were especially beneficial for HbA1c for those with poorer EF performance. Conclusions Parental involvement in diabetes management remains important during the high-risk time of emerging adulthood, especially for those with poorer EF.

High sensitivity and reactivity to behaviors of family members characterize several forms of psychopathology, including self-inflicted injury (SII). We examined mother-daughter behavioral and psychophysiological reactivity during a conflict discussion using nonlinear dynamics to assess asymmetrical associations within time-series data. Depressed, SII, and control adolescents and their mothers participated ( N = 76 dyads). We expected that (a) mothers’ evocative behaviors would affect behavioral and psychophysiological reactivity among depressed and, especially, SII adolescents, (b) adolescents’ behaviors would not evoke mothers’ behavioral or physiological reactivity, and (c) control teens and mothers would be less reactive, with no dynamic associations in either direction. Convergent cross-mapping with dewdrop regression, which identifies directional associations, indicated that mothers’ behaviors evoked behavioral responses among depressed and SII participants, but evoked psychophysiological reactivity for SII teens only. There were no effects of adolescents’ behavior on mothers’ reactivity. Results are interpreted based on sensitivity theories and directions for further research are outlined.

Social interaction occurs across many time scales and varying numbers of agents; from one-on-one to large-scale coordination in organizations, crowds, cities, and colonies. These contexts, are characterized be emergent self-organization that implies higher order coordinated patterns occurring over time that are not due to the actions of any particular agents, but rather due to the collective ordering that occurs from the interactions of the agents. Extant research to understand these social coordination dynamics has primarily examined dyadic contexts performing rhythmic tasks. To advance this area of study, we elaborate on attractor dynamics, our ability to depict them visually, and quantitatively model them. Primarily, we combine difference/differential equation modeling with mixture modeling as a way to infer the underlying topological features of the data, which can be described in terms of attractor dynamic patterns. The advantage of this approach is that we are able to quantify the self-organized dynamics that agents exhibit, link these dynamics back to activity from individual agents, and relate it to other variables central to understanding the coordinative functionality of a system’s behavior. We present four examples that differ in the number of variables used to depict the attractor dynamics (1,2,and 6) and range from simulated to non-simulated data sources. We demonstrate that this is a flexible method that advances scientific study of social coordination dynamics in a variety of multi-agent systems.