Age Differences Among Within-Person Indicators of Stress and Depressive Affect.

We examined age differences in the within-person relationships among perceived stress (PS), perceived stress reactivity (PSR), and depressive affect (DA) as well as potential mechanisms of depression with a longitudinal moderated mediation model. Participants from the Notre Dame Study of Health & Wellbeing (N = 572) completed two to four waves of yearly assessments. Sequentially built multilevel models, in which year was nested within person, illustrated that only midlife adults experience an exacerbated effect of within-person fluctuations in PSR on the relationship between within-person PS and DA levels (γ41 = -.004, p < .01). Findings further suggest that PSR accounts for the PS-DA relationship. Furthermore, older adults illustrate successful emotion regulation strategies at the yearly level-resisting the negative ramifications of years of greater PS and PSR, whereas midlife adults who experience years of greater PSR would particularly benefit from stress management interventions and monitoring of DA levels.

Individual and community level factors of safe child feces disposal among youngest children in East Africa: a multilevel modeling analysis using recent national demography and health survey data.

BACKGROUND: The Joint Monitoring Program (JMP) for water supply and sanitation developed by the WHO and UNICEF defines safe child feces disposal practices as either burial or defecation into a toilet. Children become exposed to fecal-oral illnesses when their stools are not disposed of appropriately, and this vulnerability persists until all children's stools are properly disposed of. Data on the elements influencing child feces disposal in East Africa is scarce. Hence, this study aimed to assess the prevalence and associated factors of safe child feces disposal in East Africa. METHODS: Data from the Demographic and Health Surveys, which were collected between 2015 and 2022 in 10 East African nations, were used in this analysis. For a weighted 44,821 children under the age of two, we examined additional features as well as how child feces were disposed of. Both bivariable and multivariable multilevel logistic regression were carried out to choose potential components and identify important explanatory variables connected to the outcome variable. With 95% confidence intervals, adjusted odd ratios (AORs) were used to present the results. P values of ≤ 0.2 and < 0.05 were used to investigate significant factors in the binary and multivariable multilevel logistic regression models respectively. RESULTS: Approximately 65.54% (95% CI: 65.10, 65.98) of children's waste was disposed of properly. Women age from 35 to 49 years (AOR = 1.12, 95% CI: 1.05-1.19) 15-24 years old, primary (AOR = 1.62, 95% CI, 1.53,1.72), and secondary/higher education (AOR = 1.22, 95% CI, 1.14,1.31), women from highly educated community (AOR = 1.33, 95% CI, 1.22,1.46), employed (AOR = 1.29, 95% CI, 1.24,1.35), poorer(AOR = 1.51,95% CI, 1.42,1.61), middle(AOR = 1.67, 95% CI, 1.56,1.78), richer(AOR = 1.96,95% CI, 1.82,2.11), and richest(AOR = 2.08, 95% CI, 1.91,2.27), mass media exposure (AOR = 1.37,95% CI,1.31,1.44), community level mass media exposure (AOR = 1.23, 95% CI, 1.34,1.34), had ANC visit(AOR = 1.71, 95% CI, 1.55,1.88), modern contraceptive(AOR = 1.17, 95% CI, 1.12,1.23), health institution delivery (AOR = 2.22, 95% CI, 2.09,2.34), had an improved toilet facility (AOR = 1.12, 95% CI, 1.07,1.17), children who's their age group from 6 to 11 months old, (AOR = 2.12, 95% CI, 2.01,2.25) and 12-23 months old (AOR = 3.10,95% CI, 2.94,3.27) were the factors associated with higher odds of safe child feces disposal as compared to less than six months old children respectively. Finally, women from high community poverty level (AOR = 0.87, 95% CI, 0.79,0.95), and rural women were the factors associated with lower odds of safe child feces disposal (AOR = 0.91, 95% CI 0.85-0.98) compared to their counterparts respectively. CONCLUSIONS: East Africa has a Slightly lower proportion of properly disposing of child feces. There was a strong correlation between characteristics such as residence, mother's age, education level, work status, place of delivery, ANC visit, child's age, wealth index, media exposure, and poverty. Acting on these factors and strengthening and using links between mother and child health care is, thus, strongly advocated.

Love Lost in Translation: Avoidant Individuals Inaccurately Perceive Their Partners' Positive Emotions During Love Conversations.

Empathic accuracy-the ability to decipher others' thoughts and feelings-promotes relationship satisfaction. Those high in attachment avoidance tend to be less empathically accurate; however, past research has been limited to relatively negative or neutral contexts. We extend work on attachment and empathic accuracy to the positive context of love. To do so, we combined data from three dyadic studies (N = 303 dyads) in which couple members shared a time of love and rated each other's positive emotions. Using the Truth and Bias Model of Judgment, we found that individuals higher (vs. lower) in attachment avoidance were less accurate in inferring their partners' positive emotions during the conversation, but did not systematically over- or under-perceive their partners' positive emotions. Our results suggest that avoidant individuals may be less sensitive to positive cues in their relationships, potentially reducing relational intimacy.

Longitudinal Analysis of Cancer Family Caregiver Perception of Sleep Difficulty During Home Hospice.

BACKGROUND: Sleep difficulty in caregivers is associated with poor physical and psychological outcomes. The purpose of this study was to describe family caregivers' perception of sleep difficulty through the hospice trajectory after a cancer diagnosis as predicted by age, sex, self-report of anxiety or depression, and cohabitation. METHODS: We conducted a secondary analysis of longitudinal data using multilevel modeling with nested model comparisons. Beginning with an unconditional growth model, predictors were added to nested models to test differential impact. RESULTS: Caregivers (n = 164) were predominately white (n = 160; 97%) and female (n = 113, 69%). We hypothesized that age, sex, history of anxiety or depression, and cohabitation would predict sleep difficulty. The cohabitation predictor model was a statistically significant model for caregiver perception of sleep difficulty that worsened throughout hospice caregiving (b = .184, χ2 = 7.199, P = 0.027) but age, sex, and history of depression or anxiety did not improve model fit. CONCLUSION: Our findings indicate that family caregivers who cohabitate exhibit increased perception of sleep difficulty over the course of hospice. Future studies and interventions for hospice family caregivers' sleep should consider cohabitation between the patient and the caregiver as a significant predictor of sleep difficulty to observe and potentially mediate the negative outcomes associated with caregiver sleep difficulty. Further, determining the underlying reasons for sleep difficulty in cohabitation (e.g., patient symptoms or treatments) should be explored.

Alcohol Use Predicts Longer But More Fragmented Sleep: A Daily Diary Study of Alcohol, Sleep, and PTSD in Nurses.

BACKGROUND: Due to the demanding nature of their profession, nurses are at risk of experiencing irregular sleep patterns, substance use, and fatigue. Evidence supports a reciprocal relationship between alcohol use and sleep disturbances; however, no research has examined such a link in a sample of nurses. One factor that may further impact the dynamic between alcohol and sleep patterns is posttraumatic stress disorder (PTSD) symptoms. We investigated the daily bidirectional associations between alcohol use and several sleep domains (i.e., self-report and actigraphy-determined sleep), and moderation by baseline PTSD symptom severity. METHOD: Over a 14-day period, 392 nurses (92% female; 78% White) completed sleep diaries and actigraphy to assess alcohol use and sleep patterns. Within-person bidirectional associations between alcohol and sleep were examined using multilevel models, with symptoms of PTSD as a cross-level moderator. RESULTS: Daily alcohol use (i.e., ≥ 1 alcoholic beverage; 25.76%) was associated with shorter self-reported sleep onset latency (b = -4.21, p = .003) but longer self-reported wake after sleep onset (b = 2.36, p = .009). Additionally, days with any alcohol use were associated with longer self-reported sleep duration (b = 15.60, p = .006) and actigraphy-determined sleep duration (b = 10.06, p = .037). No sleep variables were associated with next-day alcohol use. Bidirectional associations between alcohol consumption and sleep were similar regardless of baseline PTSD symptoms. CONCLUSION: Our results suggested that on days when nurses drank alcohol, they experienced longer but also more fragmented sleep.

Bayesian Learning of Personalized Longitudinal Biomarker Trajectory.

This work concerns the effective personalized prediction of longitudinal biomarker trajectory, motivated by a study of cancer targeted therapy for patients with chronic myeloid leukemia (CML). Continuous monitoring with a confirmed biomarker of residual disease is a key component of CML management for early prediction of disease relapse. However, the longitudinal biomarker measurements have highly heterogeneous trajectories between subjects (patients) with various shapes and patterns. It is believed that the trajectory is clinically related to the development of treatment resistance, but there was limited knowledge about the underlying mechanism. To address the challenge, we propose a novel Bayesian approach to modeling the distribution of subject-specific longitudinal trajectories. It exploits flexible Bayesian learning to accommodate complex changing patterns over time and non-linear covariate effects, and allows for real-time prediction of both in-sample and out-of-sample subjects. The generated information can help make clinical decisions, and consequently enhance the personalized treatment management of precision medicine.

Investigating the Effects of Discrimination Experiences on Everyday Metamemory Accuracy.

OBJECTIVES: Lifetime and daily experiences of discrimination contribute to impaired performance on cognitive assessments. However, the underlying mechanism by which discrimination negatively affects cognition is unclear. Recent research investigating stress-induced impairment of metamemory may address the relationship between discrimination experiences and cognitive impairment. METHODS: The aim of this study was to determine the relationship of lifetime and daily experiences of discrimination, daily affect balance, baseline objective cognitive performance, and sociodemographic variables (age, race, ethnicity, and sex) with metamemory accuracy across the lifespan (ages 20-75). Impaired metamemory accuracy was defined by the number of subjective cognitive complaints. Diary data from the Midlife in the United States (MIDUS Refresher 1) Daily Diary Project (N = 782) was used for these analyses. RESULTS: Results from linear mixed model analyses showed significant within-person effects of daily discrimination, where people who reported more daily discrimination also reported lower metamemory accuracy, and daily affect balance, where people who reported very negative affect also reported lower metamemory accuracy. Additionally, linear mixed model analyses revealed significant between-person effects of race on metamemory accuracy, with individuals from minoritized racial groups generally reporting poorer metamemory accuracy. Daily discrimination experiences also interacted with other variables in predicting day-to-day metamemory accuracy. DISCUSSION: These findings add to our understanding of how psychosocial stress in the form of daily discrimination experiences may impair metamemory processes contributing to increased subjective cognitive complaints. Future research should consider the contribution of daily experiences of discrimination across the lifespan to poor cognitive outcomes in later life.

Food Insecurity and Outpatient Care Utilization Among Indonesian Older Adults.

This study aims to examine the complex relationship between household food insecurity and outpatient care utilization among Indonesian older adults. Individual-level data from the 2020 National Socioeconomic Survey (SUSENAS; n = 29 950 older adults aged 60 and over in poor self-rated health who are unable to do daily activities) and environmental-level data (n = 84 096 villages in a data aggregation across 514 municipalities) from the 2021 Village Potential Data Census Collection Survey (PODES) are used in a two-level binary logistic regression model. Older adults who live in severely food insecure households (odds ratio [OR] 1.963) and lack of health insurance (OR 1.654) are more likely of not utilizing outpatient care. The interclass correlation coefficient value is 0.162, indicating that primary health care services in every village improve outpatient care utilization. Food insecurity is the major determinant of reduced likelihood of outpatient care utilization, which can be explained by household resource constraints.

Does Social Intelligence Training Improve Daily Well-Being and Responsiveness to Daily Negative and Positive Events in Custodial Grandmothers?

OBJECTIVES: Custodial grandparents are grandparents who raise grandchildren on a full-time basis in absence of the grandchild's birth parents. Compared to noncaregiving grandparents, custodial grandparents report poorer mental and physical health and stronger changes in daily well-being when experiencing negative and positive events. We examine whether an online social intelligence training (SIT) program improves custodial grandmothers' (CGM) daily well-being, socioemotional skills, and changes in well-being when confronted with daily negative and positive events. METHODS: Multilevel models were applied to 200 CGM who were recruited from across the United States and completed a daily survey for 14 consecutive days prior to and following participation in a randomized clinical trial. Participants were randomized into the SIT program or an attention control condition focusing on healthy living habits. The outcomes of interest were daily well-being, social connectedness, emotional awareness, and perspective-taking. RESULTS: Multilevel analyses revealed that participants who participated in the SIT program, compared to the attention control condition, exhibited stronger emotional responsiveness (i.e., improvements) to daily positive events in the outcomes of positive affect, social engagement, and perspective-taking. DISCUSSION: Our findings illustrate that SIT improves key components of daily functioning in CGM, which may serve as a pathway linking the demands of custodial grandparenting to poorer mental and physical health. Our discussion focuses on the utility and accessibility of the SIT program for helping improve outcomes for this disadvantaged population.Clinical Trials Registration Number: NCT03239977.

Predictors of Complicated Grief During the COVID-19 Pandemic: A Cross-Classified Analysis.

The COVID-19 pandemic left many people grieving multiple deaths and at risk for developing symptoms of complicated grief (CG). The present study is a prospective examination of the role of neuroticism and social support in the development of CG symptoms. Findings from cross-classified multilevel models pointed to neuroticism as a risk factor for subsequent CG symptoms. Social support had a stress-buffering effect, emerging as a protective factor following the loss of a first degree relative. More recent loss and younger age of the deceased were both independently associated with heightened CG symptoms. Results from the present study provide insight into heterogeneity in CG symptom development at the between-person level, and variability in CG symptoms within individuals in response to different deaths. Findings could therefore aid in the identification of those at risk for the development of CG symptoms.

Friendship Homophily Trajectories among Asian American Youth from High School to College.

Friendship racial homophily, the tendency to form friendships with individuals who share the same racial background, is a normative developmental phenomenon that holds particular significance for youth of color in a racialized society. Yet, there exists a paucity of longitudinal research elucidating the stability and change of friendship racial composition across developmental span. This study aimed to examine the friendship racial homophily trajectories over a six-year period encompassing four time points. The sample comprised 437 Asian American youth (MAge = 16.52, SDAge = 1.36, 53% female), with 197 Filipino and 240 Korean participants. Using logistic multilevel modeling analyses, it was found that both Filipino and Korean American youth demonstrated an increase in friendship racial homophily from high school to college, but that Filipino youth overall reported lower levels of racial homophily compared to their Korean counterparts. The study findings also pinpointed several influential factors impacting these trajectories, including proficiency in heritage languages, ethnic identity, and encounters with racial discrimination from both White Americans and other People of Color. These results highlight the continuous evolution of friendship racial composition from high school to college and emphasize the crucial role of ethnic identity and experiences of discrimination in influencing these dynamics, with ethnic identity exerting more enduring effects and experiences of discrimination showing more situational impacts on the levels of racial homophily.

Understanding Individual Subject Differences through Large Behavioral Datasets: Analytical and Statistical Considerations.

A core feature of behavior analysis is the single-subject design, in which each subject serves as its own control. This approach is powerful for identifying manipulations that are causal to behavioral changes but often fails to account for individual differences, particularly when coupled with a small sample size. It is more common for other subfields of psychology to use larger-N approaches; however, these designs also often fail to account for the individual by focusing on aggregate-level data only. Moving forward, it is important to study individual differences to identify subgroups of the population that may respond differently to interventions and to improve the generalizability and reproducibility of behavioral science. We propose that large-N datasets should be used in behavior analysis to better understand individual subject variability. First, we describe how individual differences have been historically treated and then outline practical reasons to study individual subject variability. Then, we describe various methods for analyzing large-N datasets while accounting for the individual, including correlational analyses, machine learning, mixed-effects models, clustering, and simulation. We provide relevant examples of these techniques from published behavioral literature and from a publicly available dataset compiled from five different rat experiments, which illustrates both group-level effects and heterogeneity across individual subjects. We encourage other behavior analysts to make use of the substantial advancements in online data sharing to compile large-N datasets and use statistical approaches to explore individual differences.

Peer Victimization and Adolescent Mental Health: School-level Victimization as a Moderator.

As a global issue, peer victimization is closely associated with adolescent mental health. Although previous research has explored the relationship between peer victimization and mental health in some contexts, the school context, particularly within the Chinese cultural context, has not received sufficient attention. Based on the Healthy Context Paradox, this study aimed to explore the moderating role of school-level victimization in the relationship between individual-level peer victimization and mental health. This study tested two hypotheses by using a multilevel design: higher individual-level and school-level peer victimization are associated with higher depressive symptoms and lower life satisfaction (Hypothesis 1); school-level victimization moderates the association between individual-level peer victimization and mental health (Hypothesis 2). Participants were 39,720 adolescents (50.41% females; Mage = 13.68, SD = 2.39) across 292 Chinese schools. They completed a set of questionnaires, including the Center for Epidemiologic Studies Depression Scale, the single-item Life Satisfaction Questionnaire, the Peer Victimization Scale, and demographics. The multilevel model indicated that both individual-level and school-level peer victimization were positively correlated with depressive symptoms and negatively correlated with life satisfaction. In schools with lower levels of victimization, there was a stronger association between individual peer victimization and adolescent mental health. A potential explanation for these results might be the victimization visibility and perceived severity in different contexts. These findings extended the discussion of the Healthy Context Paradox within the Chinese school context and provided valuable insights for developing school support strategies for victimized adolescents. School management might play a significant role in affecting the mental health of victimized adolescents.

Multilevel modeling analysis of bottle feeding and its determinants among children 0-23 months in East Africa: evidence from recent DHS data (2015-2022).

BACKGROUND: Despite breastfeeding recommendations, the prevalence and length of breast milk feeding in developing nations is rapidly decreasing, with bottle feeding taking its place. This reduces the effectiveness of breastfeeding and is associated with diarrheal disease mortality and morbidity. The purpose of this study was to determine the prevalence, distribution, and determinants of bottle feeding among under-two-year-old children in the region. METHODS: The ten East African countries' Demographic and Health Surveys (DHS) recent data from 2015 to 2022 was used. The data were weighted using sample weights for probability sampling and nonresponse. The study used 43,150 weighted children. A multi-level logistic regression model was used, and P - values of ≤ 0.2 and < 0.05 were used to declare candidate variables in the binary, and multivariable to declare significant variables, respectively. RESULTS: The prevalence of bottle feeding among children under-two-years-old in East Africa was 10.08% (95% CI 9.79, 10.36), ranging from 4.04% (95% CI 3.56, 4.53) in Tanzania to 33.40% (95% CI 32.72, 34.08) in Kenya. High antenatal care communities (AOR 1.22; 95% CI 1.11, 1.35), mothers aged 25-34 years (AOR 1.17; 95% CI 1.06, 1.28), high wealth index communities (AOR 1.12; 95% CI 1.02,1.25), women who had at least one types mass media exposure (AOR 1.64; 95% CI 1.53, 1.77), women from communities with high level mass media exposure (AOR 1.36; 95% CI 1.23, 1.52), given first birth after teenage years (AOR 1.17; 95% CI 1.09, 1.26), having more than one health visit in the year (AOR 1.37; 95% CI 1.27,1.47), multiple children (AOR 1.46; 95% CI 1.22, 1.75) were associated with higher rates of bottle feeding. Whereas a primary education (AOR 0.51; 95% CI 0.47, 0.54), having 3-5 living children (AOR 0.86; 95% CI 0.79, 0.95), a rural setting (AOR 0.53; 95% CI 0.49, 0.58), and a long distance from health facilities (AOR 0.84; 95% CI, 0.78, 0.91) were associated with lower rates of bottle feeding. CONCLUSIONS: The overall prevalence of bottle feeding was moderate in East African countries. Improving the availability and accessibility of health facilities to mothers, utilizing maternal healthcare, and media exposure will contribute to a significant decrease in the inappropriate bottle feeding of children in East Africa.

A cross-sectional study of variations in schoolwork stress in academic upper secondary school classes in Mid-Norway.

AIMS: This paper investigates stress related to schoolwork among students in academic upper secondary schools. The research questions asked are: 1. To what degree does students' schoolwork stress vary between academic classes?; And 2. are perceptions of classroom goal orientation, academic achievement, sex and parental education related to schoolwork stress? METHODS: A cross-sectional survey was done in the final year of upper secondary school in 71 school classes from 13 schools. A total of 1955 students in academic education programs were invited to participate in the survey, and 1511 completed the survey; the response rate was 77%. The outcome measure was a composite measure of schoolwork stress (alpha = 0.81). Multilevel modeling was used to estimate school class-level effects. RESULTS: The mean value of schoolwork stress was 4.0, on a scale of 1 (very little schoolwork stress) to 6 (very high schoolwork stress). About half of the students reported a score of 4 or higher. The analysis showed that individual characteristics explained most of the variation in schoolwork stress. Girls experienced a much higher level of schoolwork stress than boys (mean values of 4.3 and 3.6, respectively). There was also a significant class-level effect, estimated to 6% of the variance. Students' perceptions of classroom goal orientation was also associated with schoolwork stress. CONCLUSIONS: The main contribution was the discovery of significant variations in schoolwork stress between school classes. We also found that higher mastery climate was linked to lower schoolwork stress, whereas higher performance climate was linked to higher schoolwork stress.

The association between the adverse event reporting system and burnout and job satisfaction of nurses: Workplace violence as a mediator.

AIMS: This study aims to explore the association between the implementation of the adverse event reporting system (AERS), burnout, and job satisfaction among psychiatric nurses, with a focus on examining the mediating effect of workplace violence from patients. BACKGROUND: Many organizational and personal factors contribute to burnout and job satisfaction experienced by nurses. AERS, serving as a key component of organizational-level quality improvement system, impacts the overall workplace wellness of nurses. METHODS: A national sample of 9,744 psychiatric nurses from 41 psychiatric hospitals across 29 provinces in China participated. Burnout was measured by the Maslach Burnout Inventory. Job satisfaction was measured using the Minnesota Satisfaction Questionnaire. Workplace violence was assessed by nurses' experience of verbal and physical violence. Multilevel linear regression analyses were carried out to examine if AERS impacts burnout and job satisfaction and to identify the mediating role of workplace violence. RESULTS: AERS was positively associated with job satisfaction, but negatively with burnout and workplace violence. Workplace violence exhibited a positive association with burnout and a negative association with job satisfaction. Mediation analyses indicated that the associations between AERS, burnout, and job satisfaction were mediated by workplace violence. CONCLUSIONS: The application of AERS is associated with a reduction in workplace violence in hospitals, which contributes to the diminished burnout and heightened job satisfaction among psychiatric nurses. IMPLICATIONS FOR NURSING PRACTICE AND HEALTH POLICY: The study highlights the importance of organizational efforts and mechanisms in promoting nurses' well-being. It is necessary for hospital management to create a safe workplace through the implementation of AERS.

The Effects of Switching to Video Therapy on In-Session Processes in Psychotherapy During the COVID-19 Pandemic.

OBJECTIVE AND AIM: This study aimed to assess the impact of switching from face-to-face (f2f) psychotherapy to video therapy (VT) due to the COVID-19 pandemic on in-session processes, i.e., the therapeutic alliance, coping skills, and emotional involvement, as rated by both patients and therapists. METHODS: A total of N = 454 patients with mood or anxiety disorders were examined. The intervention group (IG) consisted of n = 227 patient-therapist dyads, who switched from f2f to VT, while the control group (CG) consisted of n = 227 patient-therapist dyads, who were treated f2f before the pandemic. To evaluate the effects of switching to VT on in-session processes, three longitudinal piecewise multilevel models, one per process variable, were fitted. Each process variable was regressed on the session number with a slope for the three sessions before switching to VT and a second slope for up to six VT sessions afterwards. RESULTS: The therapeutic alliance significantly increased after switching from f2f to VT across the two groups (IG and CG) and raters (patients and therapists) with no differences between IG and CG. On average, patients rated the therapeutic alliance better than therapists. Coping skills significantly increased after switching from f2f to VT across the two groups and raters, but the CG rated coping skills higher than the IG after the switch. Overall, therapists rated coping skills higher than patients. Emotional involvement did not significantly increase after switching to VT across the two groups and raters and there was no significant difference between patient and therapist ratings. DISCUSSION: In conclusion, the switch to VT had no negative impact on the therapeutic alliance and emotional involvement. However, more coping skills were reported in the CG than in the IG after the switch to VT, which was mainly due to a stagnation in patient-rated coping skills in the IG.

The brain's "dark energy" puzzle: How strongly is glucose metabolism linked to resting-state brain activity?

Brain glucose metabolism, which can be investigated at the macroscale level with [18F]FDG PET, displays significant regional variability for reasons that remain unclear. Some of the functional drivers behind this heterogeneity may be captured by resting-state functional magnetic resonance imaging (rs-fMRI). However, the full extent to which an fMRI-based description of the brain's spontaneous activity can describe local metabolism is unknown. Here, using two multimodal datasets of healthy participants, we built a multivariable multilevel model of functional-metabolic associations, assessing multiple functional features, describing the 1) rs-fMRI signal, 2) hemodynamic response, 3) static and 4) time-varying functional connectivity, as predictors of the human brain's metabolic architecture. The full model was trained on one dataset and tested on the other to assess its reproducibility. We found that functional-metabolic spatial coupling is nonlinear and heterogeneous across the brain, and that local measures of rs-fMRI activity and synchrony are more tightly coupled to local metabolism. In the testing dataset, the degree of functional-metabolic spatial coupling was also related to peripheral metabolism. Overall, although a significant proportion of regional metabolic variability can be described by measures of spontaneous activity, additional efforts are needed to explain the remaining variance in the brain's 'dark energy'.

Autistic and nonautistic adolescents do not differ in adaptation to gaze direction.

Predictive processing accounts of autism posit that autistic individuals' perception is less biased by expectations than nonautistic individuals', perhaps through stronger precision-weighting of prediction errors. Since precision-weighting is fundamental to all information processing, under this theory, the differences between autistic and nonautistic individuals should be domain-general and observable in both behavior and brain responses. This study used EEG, behavioral responses, and eye-tracking co-registration during gaze-direction adaptation, to investigate whether increased precision-weighting of prediction errors is evident through smaller adaptation after-effects in autistic adolescents compared with nonautistic peers. Multilevel modeling showed that autistic and nonautistic adolescents' responses were consistent with behavioral adaptation, with Bayesian statistics providing extremely strong evidence for the absence of a group difference. Cluster-based permutation testing of ERP responses did not show the expected adaptation after-effect but did show habituation to repeated stimulus presentation, and no group difference was detected, a result not consistent with the theoretical account. Combined with the few other available studies, the current findings raise challenges for the theory, suggesting no fundamental difference in precision-weighting of prediction errors in autism.

Guideline-concordant breast cancer care by patient race and ethnicity accounting for individual-, facility- and area-level characteristics: a SEER-Medicare study.

PURPOSE: To examine racial-ethnic variation in adherence to established quality metrics (NCCN guidelines and ASCO quality metrics) for breast cancer, accounting for individual-, facility-, and area-level factors. METHODS: Data from women diagnosed with invasive breast cancer at 66+ years of age from 2000 to 2017 were examined using SEER-Medicare. Associations between race and ethnicity and guideline-concordant diagnostics, locoregional treatment, systemic therapy, documented stage, and oncologist encounters were estimated using multilevel logistic regression models to account for clustering within facilities or counties. RESULTS: Black and American Indian/Alaska Native (AIAN) women had consistently lower odds of guideline-recommended care than non-Hispanic White (NHW) women (Diagnostic workup: ORBlack 0.83 (0.79-0.88), ORAIAN 0.66 (0.54-0.81); known stage: ORBlack 0.87 (0.80-0.94), ORAIAN 0.63 (0.47-0.85); seeing an oncologist: ORBlack 0.75 (0.71-0.79), ORAIAN 0.60 (0.47-0.72); locoregional treatment: ORBlack 0.80 (0.76-0.84), ORAIAN 0.84 (0.68-1.02); systemic therapies: ORBlack 0.90 (0.83-0.98), ORAIAN 0.66 (0.48-0.91)). Commission on Cancer accreditation and facility volume were significantly associated with higher odds of guideline-concordant diagnostics, stage, oncologist visits, and systemic therapy. Black residential segregation was associated with significantly lower odds of guideline-concordant locoregional treatment and systemic therapy. Rurality and area SES were associated with significantly lower odds of guideline-concordant diagnostics and oncologist visits. CONCLUSIONS: This is the first study to examine guideline-concordance across the continuum of breast cancer care from diagnosis to treatment initiation. Disparities were present from the diagnostic phase and persisted throughout the clinical course. Facility and area characteristics may facilitate or pose barriers to guideline-adherent treatment and warrant future investigation as mediators of racial-ethnic disparities in breast cancer care.