Sleep Health among Children Adopted from Foster Care: The Moderating Effect of Parent-Child Sleep Interactions.

OBJECTIVES: Sleep disruption is prevalent among children placed in foster care, elevating risk for a range of deleterious outcomes. Theoretically, achieving permanency via adoption may have a positive influence on children's sleep via the presence of various factors, but little is known about the sleep health of children adopted from foster care, including predictors and moderators of sleep health. METHOD: The current study included 226 parents who adopted a child from foster care in the U.S. (aged 4-11 years) within the past two years and a propensity score matched sample of 379 caregivers of children currently in foster care. Both samples completed online questionnaires about their child's sleep, physical, and mental health. RESULTS: Comparatively, children in foster care experienced more nightmares, night terrors, moving to someone else's' bed during the night, and worse overall sleep quality, whereas adopted children were reported to experience significantly more nighttime awakenings. In the adopted sample, a greater number of prior foster placements unexpectedly predicted lower total sleep disturbance scores, but this relationship was moderated by parent-child interactions around sleep. In general, greater parental involvement in children's sleep was associated with lower levels of child sleep disturbance. CONCLUSIONS: Findings suggest that while specific sleep problems might remit after children in foster care achieve permanence, nighttime sleep fragmentation often persists. Parent-child interactions surrounding sleep may be pivotal in improving sleep health in this population.

The role of combat exposure on drinking behavior and subjective well-being: A Rubin Causal Model approach.

OBJECTIVE: Investigating the role of combat exposure on behavioral outcomes has been limited due to ethical and logistical constraints. METHOD: Using a large data set from UK BioBank of U.K. citizens (n = 157,161), we created hypothetical randomized experiments, with treatment conditions for combat exposure or no combat exposure matched for relevant covariates and compared differences in combat exposure groups on a broad range of alcohol-related and subjective well-being outcomes. Additionally, using a randomization-based approach, we calculated 95% Fisherian intervals for constant treatment effects consistent with the matched data and the hypothetical combat exposure intervention. RESULTS: Results suggest that combat exposure plays a role in several negative outcomes related to alcohol behavior and subjective well-being, such as increased typical daily alcohol consumption (estimated average causal effect [ACE] = 0.0545, Fisher p-value = .0119) and less general health happiness (estimated ACE = -0.1077, Fisher p-value < 1/100,000). CONCLUSIONS: This study expands our current understanding of the role of combat exposure on many alcohol and subjective well-being-related measures. We also show that the Rubin Causal Model provides a rigorous and valid approach to better understand myriad other issues in psychological science. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Motivation states to move, be physically active and sedentary vary like circadian rhythms and are associated with affect and arousal.

Introduction: Motivation to be physically active and sedentary is a transient state that varies in response to previous behavior. It is not known: (a) if motivational states vary from morning to evening, (b) if they are related to feeling states (arousal/hedonic tone), and (c) whether they predict current behavior and intentions. The primary purpose of this study was to determine if motivation states vary across the day and in what pattern. Thirty adults from the United States were recruited from Amazon MTurk. Methods: Participants completed 6 identical online surveys each day for 8 days beginning after waking and every 2-3 h thereafter until bedtime. Participants completed: (a) the CRAVE scale (Right now version) to measure motivation states for Move and Rest, (b) Feeling Scale, (c) Felt Arousal Scale, and (d) surveys about current movement behavior (e.g., currently sitting, standing, laying down) and intentions for exercise and sleep. Of these, 21 participants (mean age 37.7 y; 52.4% female) had complete and valid data. Results: Visual inspection of data determined that: a) motivation states varied widely across the day, and b) most participants had a single wave cycle each day. Hierarchical linear modelling revealed that there were significant linear and quadratic time trends for both Move and Rest. Move peaked near 1500 h when Rest was at its nadir. Cosinor analysis determined that the functional waveform was circadian for Move for 81% of participants and 62% for Rest. Pleasure/displeasure and arousal independently predicted motivation states (all p's < .001), but arousal had an association twice as large. Eating, exercise and sleep behaviors, especially those over 2 h before assessment, predicted current motivation states. Move-motivation predicted current body position (e.g., laying down, sitting, walking) and intentions for exercise and sleep more consistently than rest, with the strongest prediction of behaviors planned for the next 30 min. Discussion: While these data must be replicated with a larger sample, results suggest that motivation states to be active or sedentary have a circadian waveform for most people and influence future behavioral intentions. These novel results highlight the need to rethink the traditional approaches typically utilized to increase physical activity levels.

Qualitative and quantitative evidence of motivation states for physical activity, exercise and being sedentary from university student focus groups.

Motivation for physical activity and sedentary behaviors (e.g., desires, urges, wants, cravings) varies from moment to moment. According to the WANT model, these motivation states may be affectively-charged (e.g., felt as tension), particularly after periods of maximal exercise or extended rest. The purpose of this study was to examine postulates of the WANT model utilizing a mixed-methods approach. We hypothesized that: (1) qualitative evidence would emerge from interviews to support this model, and (2) motivation states would quantitatively change over the course of an interview period. Seventeen undergraduate students (mean age = 18.6y, 13 women) engaged in focus groups where 12 structured questions were presented. Participants completed the "right now" version of the CRAVE scale before and after interviews. Qualitative data were analyzed with content analysis. A total of 410 unique lower-order themes were classified and grouped into 43 higher order themes (HOTs). From HOTs, six super higher order themes (SHOTs) were designated: (1) wants and aversions, (2) change and stability, (3) autonomy and automaticity, (4) objectives and impulses, (5) restraining and propelling forces, and (6) stress and boredom. Participants stated that they experienced desires to move and rest, including during the interview, but these states changed rapidly and varied both randomly as well as systematically across periods of minutes to months. Some also described a total absence of desire or even aversion to move and rest. Of note, strong urges and cravings for movement, typically from conditions of deprivation (e.g., sudden withdrawal from exercise training) were associated with physical and mental manifestations, such as fidgeting and feeling restless. Urges were often consummated with behavior (e.g., exercise sessions, naps), which commonly resulted in satiation and subsequent drop in desire. Importantly, stress was frequently described as both an inhibitor and instigator of motivation states. CRAVE-Move increased pre-to-post interviews (p < .01). CRAVE-Rest demonstrated a trend to decline (p = .057). Overall, qualitative and quantitative data largely corroborated postulates of the WANT model, demonstrating that people experience wants and cravings to move and rest, and that these states appear to fluctuate significantly, especially in the context of stress, boredom, satiety, and deprivation.

Benefits of Intergenerational Contact: Ageism, Subjective Well-Being, and Psychosocial Developmental Strengths of Wisdom and Identity.

The present study examines the benefits of an in-person intergenerational contact program called SAGE (Successful Aging and Inter-Generational Experiences). The SAGE Program pairs older adults (M age 85 years) and younger adults (M age 23 years) for 2 to 3-hour weekly meetings over a 7-week period, where participants can share memories, skills, and values, and foster new perspectives and friendships. We expected the SAGE Program to benefit both older and younger participants with respect to identity processes, subjective well-being, positive mood, and wisdom while reducing ageist beliefs compared to old and young participants serving as their matched controls. Overall, participants in the SAGE Program reported greater identity synthesis,subjective well-being, and positive mood. Exploratory analyses suggested that identity synthesis is a likely mediator of that effect. The SAGE Program did not reduce ageist beliefs, but age differences in ageism were found. We address additional results,limitations, and future research directions.

College student Fear of Missing Out (FoMO) and maladaptive behavior: Traditional statistical modeling and predictive analysis using machine learning.

This paper reports a two-part study examining the relationship between fear of missing out (FoMO) and maladaptive behaviors in college students. This project used a cross-sectional study to examine whether college student FoMO predicts maladaptive behaviors across a range of domains (e.g., alcohol and drug use, academic misconduct, illegal behavior). Participants (N = 472) completed hard copy questionnaire packets assessing trait FoMO levels and questions pertaining to unethical and illegal behavior while in college. Part 1 utilized traditional statistical analyses (i.e., hierarchical regression modeling) to identify any relationships between FoMO, demographic variables (socioeconomic status, living situation, and gender) and the behavioral outcomes of interest. Part 2 looked to quantify the predictive power of FoMO, and demographic variables used in Part 1 through the convergent approach of supervised machine learning. Results from Part 1 indicate that college student FoMO is indeed related to many diverse maladaptive behaviors spanning the legal and illegal spectrum. Part 2, using various techniques such as recursive feature elimination (RFE) and principal component analysis (PCA) and models such as logistic regression, random forest, and Support Vector Machine (SVM), showcased the predictive power of implementing machine learning. Class membership for these behaviors (offender vs. non-offender) was predicted at rates well above baseline (e.g., 50% at baseline vs 87% accuracy for academic misconduct with just three input variables). This study demonstrated FoMO's relationships with these behaviors as well as how machine learning can provide additional predictive insights that would not be possible through inferential statistical modeling approaches typically employed in psychology, and more broadly, the social sciences. Research in the social sciences stands to gain from regularly utilizing the more traditional statistical approaches in tandem with machine learning.

Urges to Move and Other Motivation States for Physical Activity in Clinical and Healthy Populations: A Scoping Review Protocol.

Motivation for bodily movement, physical activity and exercise varies from moment to moment. These motivation states may be "affectively-charged," ranging from instances of lower tension (e.g., desires, wants) to higher tension (e.g., cravings and urges). Currently, it is not known how often these states have been investigated in clinical populations (e.g., eating disorders, exercise dependence/addiction, Restless Legs Syndrome, diabetes, obesity) vs. healthy populations (e.g., in studies of motor control; groove in music psychology). The objective of this scoping review protocol is to quantify the literature on motivation states, to determine what topical areas are represented in investigations of clinical and healthy populations, and to discover pertinent details, such as instrumentation, terminology, theories, and conceptual models, correlates and mechanisms of action. Iterative searches of scholarly databases will take place to determine which combination of search terms (e.g., "motivation states" and "physical activity"; "desire to be physically active," etc.) captures the greatest number of relevant results. Studies will be included if motivation states for movement (e.g., desires, urges) are specifically measured or addressed. Studies will be excluded if referring to motivation as a trait. A charting data form was developed to scan all relevant documents for later data extraction. The primary outcome is simply the extent of the literature on the topic. Results will be stratified by population/condition. This scoping review will unify a diverse literature, which may result in the creation of unique models or paradigms that can be utilized to better understand motivation for bodily movement and exercise.

Social anxiety and employment interviews: does nonverbal feedback differentially predict cortisol and performance?

BACKGROUND & OBJECTIVES: Interviewers often provide positive nonverbal feedback to reduce interviewees' anxiety. Socially anxious individuals typically harbor negative self-views discrepant with positive feedback. We examined whether nonverbal feedback and social anxiety jointly influence cortisol responses to, and performance during, interviews. DESIGN: An experimental between-subjects design randomly assigned participants to feedback condition. METHODS: Undergraduate students (N = 130) provided saliva and completed social anxiety, interview anxiety, and affective measures before a simulated interview. Following a standardized script, a confederate interviewer provided positive, ambiguous, or negative nonverbal feedback. Participants then provided saliva and completed self-focused attention and self-awareness measures. Confederate interviewers and an external rater evaluated participants' anxiety displays, assertive behavior, and performance. RESULTS: Positive feedback decreased cortisol and improved performance for low social anxiety participants. Socially anxious participants exhibited higher cortisol but did not exhibit significant differences in performance after positive compared to negative feedback. CONCLUSIONS: Consistent with previous findings, positive feedback did not benefit socially anxious interviewees. Positive feedback increased physiological arousal relative to negative feedback but did not hinder performance among people high in social anxiety. These results provide novel information about the interactive influence of social anxiety and nonverbal interviewer feedback on arousal, self-focus, and interview performance.

Social anxiety and the ironic effects of positive interviewer feedback.

BACKGROUND AND OBJECTIVES: Positive interviewer feedback should encourage positive experiences and outcomes for interviewees. Yet, positive feedback is inconsistent with socially anxious interviewees' negative self-views. Socially anxious interviewees might experience increased self-focus while attempting to reconcile the inconsistency between their self-perceptions and that feedback. This could interfere with successful interview performance. DESIGN: This study used a 3 (feedback: positive, negative, no) × 2 (social anxiety: high, low) between-subjects design. METHOD: Undergraduate students (N = 88) completed a measure of dispositional social anxiety. They then engaged in a simulated interview with a White confederate trained to adhere to a standardized script. Interviewees received positive, negative, or no interviewer feedback. Each interview was video recorded to code anxiety displays, impression management tactics, and interview success. RESULTS: Following positive feedback, socially anxious interviewees displayed more anxiety, less assertiveness, and received lower success ratings. Among anxious interviewees, increased self-focus provided an indirect path between positive feedback and lower success. CONCLUSIONS: Consistent with self-verification theory, anxious interviewees had poorer interview performance following positive feedback that contradicted their negative self-views. Thus, socially anxious interviewees might be at a disadvantage when interviewing, especially following positive feedback. Implications for interviewees and interviewers are discussed.