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Background: Simultaneous alcohol and cannabis use is associated with riskier daily drinking. However, little research has tested momentary mechanisms through which simultaneous use predicts continued drinking during acute drinking episodes. The current study tested whether simultaneous use moments predicted within-episode increases in subjective responses, craving, and continued drinking, and whether these relations were potentiated in social versus solitary settings., Methods: Emerging adults who co-use alcohol and cannabis (N = 85) completed 21 days of ecological momentary assessment with event-contingent reports during drinking episodes. Three-level multilevel models tested whether simultaneous (vs. alcohol-only) use moments indirectly predicted subsequent, continued drinking through subjective responses (i.e., high-arousal positive/stimulant, high-arousal negative/aggression, low-arousal positive/relaxation, low-arousal negative/impairment) and alcohol craving, and whether relations differed by social versus solitary contexts., Results: Within drinking episodes, simultaneous (vs. alcohol-only) use moments were associated with increased stimulation, which was indirectly associated with continued drinking through increased alcohol craving. Additionally, the relation between simultaneous (vs. alcohol-only) use and stimulating effects was potentiated during solitary drinking moments, whereas the relation between stimulating effects and craving was potentiated during social drinking moments. However, stimulating effects were higher in social contexts across all moments. Finally, simultaneous (vs. alcohol-only) use moments were associated with increased relaxation, which was indirectly associated with a lower likelihood of continued drinking through lesser craving., Conclusions: Simultaneous use predicted both continued within-episode drinking and cessation of drinking, with acute subjective effects and craving as mechanisms, dependent upon context. Just-in-time interventions should consider targeting affect, craving, and context in event-specific interventions., (© 2024 Research Society on Alcohol.)

The transition to college is a time of increased opportunity and stress spanning multiple domains. Adolescents who encounter significant stress during this transition may be vulnerable to adverse outcomes due to a "wear and tear" of the hypothalamic pituitary adrenal (HPA) axis. Latino/a students may be particularly at-risk for heightened stress exposure due to experiences of both minority-specific and general life stress. Despite this, little is known regarding the cumulative impact of multiple stressors on Latino/a students' HPA axis functioning. The present study employed a "multi-risk model" approach to examine additive, common, and cumulative effects of multiple stress forms (general, academic, social, financial, bicultural, ethnic/racial discrimination) on diurnal cortisol in a sample of first-year Latino/a college students ( N = 196; 64.4% female; M age = 18.95). Results indicated that no stress forms were additively associated with the cortisol awakening response (CAR), but general stress was associated with a flatter diurnal cortisol slope (DCS) and bicultural stress was linked with a steeper DCS. A college stress latent factor was associated with a lower CAR, whereas a latent factor of discrimination was not associated with diurnal cortisol. Cumulative risk was linked with a lower CAR. Findings highlight the physiological correlates of various stressors experienced by Latino/a college students.

Loneliness is gaining attention globally as a public health issue because elevated loneliness increases one's risk for depression, compromised immunity, chronic illness, and mortality. Our objective is to zoom into how loneliness has historically evolved through midlife and investigate whether elevations in loneliness are confined to the United States or are similarly transpiring across peer European nations. We use harmonized data on loneliness from nationally representative longitudinal panel surveys from the United States and 13 European nations to directly quantify similarities and differences in historical change of midlife loneliness trajectories. Compared with any other European nation/region, overall levels of loneliness in the United States are consistently higher by a magnitude of 0.3-0.8 SDs . Middle-aged adults in the United States, England, and Mediterranean Europe today report higher levels of loneliness than earlier born cohorts, whereas no historical changes (if not historically lower levels) were observed in Continental and Nordic Europe. Our discussion focuses on possible reasons for cross-national differences in midlife loneliness, including cultural factors, social and economic inequalities, and differences in social safety nets. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Bicultural competence, the ability to navigate bicultural demands, is a salient developmental competency for youth of color linked with positive adjustment. This study investigated how discrimination experiences informed developmental trajectories of behavioral and affective bicultural competence across youth's adaptation from high school to college, and how these biculturalism trajectories predicted later adjustment (i.e., internalizing symptoms and binge drinking). Data were collected between 2016 through 2020 and included 206 U.S. Latino youth ( M age =17.59, 64% female, 85% Mexican origin, 11% first and 62% second generation immigrants). Linear latent growth analyses revealed that youth who experienced greater time-varying discrimination demonstrated lower concurrent behavioral and affective bicultural competence. Higher behavioral bicultural competence intercepts were associated with fewer internalizing symptoms in the third college year. No other significant associations emerged for internalizing symptoms or binge drinking. These findings have implications for mental health equity among Latino youth during a critical period of psychopathology onset.

Study Objectives: The teenage increase in sleepiness is not simply a response to decreasing nighttime sleep duration. Daytime sleepiness increases across adolescence even when prior sleep duration is held constant. Here we determine the maturational trend in daytime sleep propensity assessed with the multiple sleep latency test (MSLT) and assess the trend's relation to pubertal maturation and changes in the sleep electroencephalogram. We also evaluate whether the relation of daytime sleep propensity to prior sleep duration changes between ages 10 and 23 years., Methods: Participants (n = 159) entered the study between ages 9.8 and 22.8 years and were studied annually for up to 3 years. Annually, participants kept each of three sleep schedules in their homes: 7, 8.5, and 10 hours in bed for 4 consecutive nights with polysomnography on nights 2 and 4. MSLT-measured daytime sleep propensity was assessed in the laboratory on the day following the fourth night., Results: A two-part linear spline model described the maturation of daytime sleep propensity. MSLT sleep likelihood increased steeply until age 14.3 years, after which it did not change significantly. The maturational trend was strongly associated with the adolescent decline in slow-wave (delta, 1-4 Hz) EEG power during NREM sleep and with pubertal maturation assessed with Tanner stage measurement of breast/genital development. The effect of prior sleep duration on sleep likelihood decreased with age., Conclusions: Adolescent brain changes related to pubertal maturation and those reflected in the delta decline contribute to the adolescent increase in daytime sleep propensity., (© The Author(s) 2023. Published by Oxford University Press on behalf of Sleep Research Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Moral foundations theory proposes five domains of morality-harm, fairness, loyalty, purity, and authority. Endorsement of these moral domains is assessed by the Moral Foundations Questionnaire (MFQ), a 30-item scale that has undergone intense measurement scrutiny. Across five samples ( N = 464,229), we show greatly improved model fit using a Bifactor model that accounts for two kinds of items in the MFQ: judgment and relevance. We add to this space by demonstrating how using this improved measurement structure changes the strength of correlations of the moral foundations with numerous attitudes, cognitive styles, and moral decision-making. Future research should continue to identify what, if anything, the relevance and judgment factors might substantively capture over and above the substantive domains of moral foundations. In the meantime, we recommend that researchers use the Bifactor model for its improved model structure, rather than dropping the relevant items as some have proposed., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: Simultaneous alcohol and cannabis use (SAM) is associated with riskier drinking. However, little is known regarding mechanisms of risk during drinking episodes. The current study tested whether subjective responses to simultaneous vs. alcohol-only use (i.e., high arousal positive/reward, high arousal negative/aggression, low arousal positive/relaxation, low arousal negative/impairment) were mechanisms through which SAM use was associated with daily drinking., Methods: Emerging adults who co-use alcohol and cannabis (N=85) completed 21 days of ecological momentary assessment with drink-contingent reports during drinking episodes. Participants reported on their simultaneous use and current subjective effects during drink reports and past-night total drinks consumed and negative consequences experienced the next morning. Three-level multilevel models (momentary, daily, person level) tested whether SAM use predicted subjective responses, and whether subjective responses mediated associations between SAM use, heavier drinking and negative consequences., Results: At the momentary and day-level, SAM (vs. alcohol-only) use predicted increased high arousal positive/rewarding, low arousal positive/relaxing, and low arousal negative/impairing subjective effects. SAM use indirectly predicted heavier day-level drinking and further negative consequences through high arousal positive/rewarding response. SAM use also indirectly predicted day-level negative consequences through low arousal negative/impairing response. At the person-level, more frequent SAM use predicted higher person-average high arousal positive/rewarding and low arousal positive/relaxing responses, and high arousal positive/rewarding response mediated relation between SAM frequency and heavier drinking., Conclusions: Simultaneous use was associated with reward, relief, and impairment, and reward and impairment were mechanisms of risk between SAM use and riskier drinking. Findings may inform theory and just-in-time interventions seeking to reduce alcohol misuse., Competing Interests: Declaration of Competing Interest The authors report no conflicts of interest., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Study Objectives: Limiting spindle activity via sleep restriction could explain some of the negative cognitive effects of sleep loss in adolescents. The current study evaluates how sleep restriction affects sleep spindle number, incidence, amplitude, duration, and wave frequency and tests whether sleep restriction effects on spindles change across the years of adolescence. The study determines whether sleep restriction effects on daytime sleepiness, vigilance, and cognition are related to changes in sleep spindles., Methods: In each year of this 3-year longitudinal study, 77 participants, ranging in age from 10 to 16 years, each completed three different time in bed (TIB) schedules: 7, 8.5, or 10 hours in bed for 4 consecutive nights. A computer algorithm detected and analyzed sleep spindles in night four central and frontal electroencephalogram. Objective and self-reported daytime sleepiness and cognition were evaluated on the day following the 4th night., Results: For 7 versus 10 hours TIB average all-night frontal and central spindle counts were reduced by 35% and 32%, respectively. Reducing TIB also significantly decreased spindle incidence in the first 5 hours of non-rapid eye movement sleep, produced small but significant reductions in spindle amplitude, and had little to no effect on spindle duration and spindle wave frequency. Sleep restriction effects did not change with age. The reductions in spindle count and incidence were related to daytime sleepiness on the following day but were not related to working memory., Conclusions: The sleep loss effects on daytime functioning in adolescents are partially mediated by reduced sleep spindles impacting daytime sleepiness., (© The Author(s) 2023. Published by Oxford University Press on behalf of Sleep Research Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Empathic accuracy, the ability to accurately understand others' emotions, is typically viewed as beneficial for mental health. However, empathic accuracy may be problematic when a close relational partner is depressed because it promotes shared depression. Across two studies, we measured empathic accuracy using laboratory tasks that capture the ability to rate others' emotional valence accurately over time: first, in a sample of 156 neurotypical married couples (Study 1; Total N=312), and then in a sample of 102 informal caregivers of individuals with dementia (Study 2). Across both studies, the association between empathic accuracy and depressive symptoms varied as a function of a partner's level of depressive symptoms. Greater empathic accuracy was associated with (a) fewer depressive symptoms when a partner lacked depressive symptoms, but (b) more depressive symptoms when a partner had high levels of depressive symptoms. Accurately detecting changes in others' emotional valence may underpin shared depressive symptoms., Competing Interests: Conflict of Interest The authors declare no conflicts of interest with respect to the authorship or the publication of this article.

Middle-aged adults are a central pillar of society because they comprise large segments of the workforce and bridge younger and older generations. Given the significant role that middle-aged adults play for the greater good of society, more research is warranted to evaluate in which ways adversity could accumulate or pile-up to impact pertinent outcomes. We used data from a sample of middle-aged adults ( n = 317, age 50-65 at baseline, 55% women) who were assessed monthly for a period of 2 years to examine whether the accumulation of adversity was predictive of depressive symptoms, life satisfaction, and character strengths (generativity, gratitude, the presence of meaning, and search for meaning). Greater accumulation of adversity was associated with reporting more depressive symptoms, lower life satisfaction, and the lower presence of meaning and the effects remained for depressive symptoms when accounting for concurrent adversity. More concurrent adversity was associated with reporting more depressive symptoms and lower life satisfaction and lower levels of generativity, gratitude, and the presence of meaning. Analyses that targeted specific domains of adversity showed that the accumulation of adversity associated with close family members (i.e., spouse/partner, children, and parents), and financial, and work domains showed the strongest (negative) associations across each outcome. Our findings demonstrate that monthly adversity take its toll on pertinent midlife outcomes and points to future research targeting mechanisms underlying our findings as well as resources that promote positive outcomes. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

There is a need to understand the components of self-regulation, given its link to nearly every domain of functioning across the life span. This study examined the etiological underpinnings of covariance between measures of executive functioning (EF) and effortful control (EC) in middle childhood. The extent that genetic and environmental factors explain the association between EF and EC is unknown. Families were drawn from a longitudinal twin study ( N = 894 twins; M age = 8.87 years, SD = 1.10; 51.4% female; 46.8% non-Hispanic White, 28% Latino/a/x) and twins completed EF tasks during a home visit (Flanker Task, Continuous Performance Task, and Digit Span Backward) and primary caregivers (93.8% mothers) reported on their twins' EC (Attentional Focusing and Inhibitory Control). Univariate twin models showed additive genetic and nonshared environmental influences on the Flanker Task, Continuous Performance Task, Digit Span Backward, and parent-reported Inhibitory Control, and dominant genetic influences were implicated in parent-reported Attentional Focusing. Bivariate twin models revealed that additive genetic influences explained the small covariance between EF and EC. Executive attention could explain the genetic covariance between measures of EF and EC. This study suggests that EF and EC tap into the same underlying self-regulation construct, with weak correlations between constructs being attributed to measurement, rather than conceptual, differences. Elucidating the overlap between EF and EC can bring researchers closer to understanding how best to foster adaptive self-regulation. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The Positivity Resonance Theory of coexperienced positive affect describes moments of interpersonal connection characterized by shared positive affect, caring nonverbal synchrony, and biological synchrony. The construct validity of positivity resonance and its longitudinal associations with health have not been tested. The current longitudinal study examined whether positivity resonance in conflict interactions between 154 married couples predicts health trajectories over 13 years and longevity over 30 years. We used couples' continuous ratings of affect during the interactions to capture coexperienced positive affect and continuous physiological responses to capture biological synchrony between spouses. Video recordings were behaviorally coded for coexpressed positive affect, synchronous nonverbal affiliation cues (SNAC), and behavioral indicators of positivity resonance (BIPR). To evaluate construct validity, we conducted a confirmatory factor analysis to test a latent factor of positivity resonance encompassing coexperienced positive affect, coexpressed positive affect, physiological linkage of interbeat heart intervals, SNAC, and BIPR. The model showed excellent fit. To evaluate associations with health and longevity, we used dyadic latent growth curve modeling and Cox proportional hazards modeling, respectively, and found that greater latent positivity resonance predicted less steep declines in health and increased longevity. Associations were robust when accounting for initial health symptoms, sociodemographic characteristics, health-related behaviors, and individually experienced positive affect. We repeated health and longevity analyses, replacing latent positivity resonance with BIPR, and found consistent results. Findings validate positivity resonance as a multimodal construct, support the utility of the BIPR measure, and provide initial evidence for the characterization of positivity resonance as a positive health behavior. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Early life stress, daily life experiences, and the stress responsive hypothalamic-pituitary-adrenal (HPA) axis have each been examined as predictors of the development of psychopathology. Rarely have researchers attempted to understand the covariation or interaction among these stress domains using a longitudinal design in the prediction of symptoms of internalizing psychopathology, particularly during childhood. This study examined early family stress, daily interpersonal stress, indicators of diurnal cortisol, and internalizing symptoms in a racially/ethnically and socioeconomically diverse sample of twins ( N = 970 children; M age at outcome = 9.73; 52% female; 23.7% Hispanic/Latino, 58.8% White; 30% below middle class; Lemery-Chalfant et al., 2019). An additive model of stress, a stress mediation model, and a stress sensitization framework model each delineated potential pathways linking stress and internalizing symptoms. Supporting additive pathways, multilevel models showed that all 3 stress indicators uniquely predicted internalizing symptoms. There was a significant indirect path from early family stress to 9 year internalizing symptoms through interpersonal stress, supporting stress mediation. Family stress moderated the association between interpersonal stress and internalizing symptoms, though not in the direction that would support stress sensitization. Child stress, including daily interpersonal stress and HPA axis activity, and internalizing symptoms are prevalent and family stress is a significant precursor to child internalizing symptoms across child development. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Executive functions (EF) are key predictors of long-term success that develop rapidly in early childhood. However, EF's developmental trajectory from preschool to kindergarten is not fully understood due to conceptual ambiguity (e.g., whether it is a single construct or multiple related constructs) and methodological limitations (e.g., previous work has primarily examined linear growth). Whether and how this trajectory differs based on characteristics of children and their families also remains to be characterized. In a primarily low-income, racially and ethnically diverse, typically developing, urban sample, the present study employed confirmatory factor analyses to examine the construct of EF and latent growth curve modeling to examine nonlinear growth across five time points. Results indicated that the development of a single EF construct with partial measurement invariance across time points was best characterized as nonlinear, with disproportionately more growth during the preschool year. There was individual variability in EF trajectories, such that children with higher EF at preschool entry showed relatively steeper growth during preschool compared to low-EF peers. However, children with less EF growth in preschool had steeper growth in kindergarten, attenuating the gains of high-EF preschoolers and resulting in some convergence in EF by the end of kindergarten. Findings have implications for (1) examining EF development in early childhood with more specificity in future studies, (2) informing the timing of EF interventions in early childhood, and (3) identifying children for whom such interventions might be especially beneficial., (© 2022 The Authors. Developmental Science published by John Wiley & Sons Ltd.)

Objectives: Our objective is to examine whether lifetime adversity has either a "steeling effect" or "cumulative disadvantage effect" on the consequences of monthly adversity on psychological well-being in middle-aged adults. An exploratory step was to examine whether such associations differed based on the domain of adversity (personal, family/friend, bereavement, social-environmental, and relationship)., Method: Multilevel modeling was applied to data from a sample of participants in midlife (n = 358, ages 50-65, 54% women) who were assessed monthly for 2 years., Results: Lifetime adversity did not show steeling effects, but instead appeared to exacerbate the impact of monthly adversity on psychological well-being, indicating cumulative disadvantage. On months where an adversity was reported, on average, individuals who reported more lifetime adversity showed stronger increases in depressive symptoms, anxiety, and negative affect and decreases in positive affect. There was limited evidence to suggest for steeling effects for life satisfaction. Reporting adversity in the personal, bereavement, social-environmental, and relationship domains showed the strongest associations with psychological well-being., Discussion: Our discussion focuses on how lifetime adversity showed a cumulative disadvantage effect on the consequences of monthly adversity on psychological well-being. We also elaborate on future directions for research that include other conceptualizations of adversity and research to examine mechanisms underlying this relationship., (© The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Over the past 40 years there have been great advances in the analysis of individual change and the analyses of between-person differences in change. While conditional growth models are the dominant approach, exploratory models, such as growth mixture models and structural equation modeling trees, allow for greater flexibility in the modeling of between-person differences in change. We continue to push for greater flexibility in the modeling of individual change and its determinants by combining growth mixture modeling with structural equation modeling trees to evaluate how measured covariates predict class membership using a recursive partitioning algorithm. This approach, referred to as growth mixture modeling with membership trees , is illustrated with longitudinal reading data from the Early Childhood Longitudinal Study with the MplusTrees package in R.

The literature on latent change score models does not discuss the importance of using a precise time metric when structuring the data. This study examined the influence of time metric precision on model estimation, model interpretation, and parameter estimate accuracy in bivariate LCS (BLCS) models through simulation. Longitudinal data were generated with a panel study where assessments took place during a given time window with variation in start time and measurement lag. The data were analyzed using precise time metric, where variation in time was accounted for, and then analyzed using coarse time metric indicating only that the assessment took place during the time window. Results indicated that models estimated using the coarse time metric resulted in biased parameter estimates as well as larger standard errors and larger variances and covariances for intercept and slope. In particular, the coupling parameter estimates-which are unique to BLCS models-were biased with larger standard errors. An illustrative example of longitudinal bivariate relations between math and reading achievement in a nationally representative survey of children is then used to demonstrate how results and conclusions differ when using time metrics of varying precision. Implications and future directions are discussed.

This research followed students over their first 2 years of college. During this time, many students lose sight of their goals, leading to poor academic performance and leaving STEM and business majors. This research was the first to examine longitudinal changes in future vividness, how those changes impact academic success, and identify sex differences in those relationships. Students who started college with clear pictures of graduation and life after graduation, and those who gained clarity, were more likely to believe in their academic abilities, and, in turn, earn a higher cumulative GPA, and persist in STEM and business. Compared to men, women reported greater initial vividness in both domains. In vividness of graduation, women maintained their advantage with no sex differences in how vividness changed. However, men grew in vividness of life after graduation while women remained stagnant. These findings have implications for interventions to increase academic performance and persistence.

Background Anxiety is linked to elevated risk of cardiometabolic disease onset, but the underlying mechanisms remain unclear. We examined the prospective association of 2 anxiety facets, neuroticism and worry, with cardiometabolic risk (CMR) trajectories for 4 decades. Methods and Results The sample comprised 1561 men from an ongoing adult male cohort. In 1975, healthy men (mean age, 53 years [SD, 8.4 years]) completed the Eysenck Personality Inventory-Short Form neuroticism scale and a Worries Scale. Seven CMR biomarkers were assessed every 3 to 5 years. The CMR score was the number of biomarkers categorized as high-risk based on established cut points or medication use. Using mixed effects regression, we modeled CMR trajectories over age and evaluated their associations with neuroticism and worry. Using Cox regression, we examined associations of neuroticism and worry with risk of having ≥6 CMR high-risk biomarkers through 2015. CMR increased at 0.8 markers per decade from age 33 to 65 years, at which point men had an average of 3.8 high-risk markers, followed by a slower increase of 0.5 markers per decade. Higher neuroticism (B=0.08; 95% CI, 0.02-0.15) and worry levels (B=0.07; 95% CI, 0.001-0.13) were associated with elevated CMR across time, and with 13% (95% CI, 1.03-1.23) and 10% (95% CI, 1.01-1.20) greater risks, respectively, of having ≥6 high-risk CMR markers, adjusting for potential confounders. Conclusions By middle adulthood, higher anxiety levels are associated with stable differences in CMR that are maintained into older ages. Anxious individuals may experience deteriorations in cardiometabolic health earlier in life and remain on a stable trajectory of heightened risk into older ages.

Study Objectives: This study examined associations between average and intraindividual trajectories of stress, sleep duration, and sleep quality in college students before, during, and after transitioning to online learning due to the COVID-19 pandemic., Methods: One hundred and sixty-four first-year college students answered twice-weekly questionnaires assessing stress exposure and perception, sleep duration, and sleep quality from January until May, 2020 (N = 4269 unique observations)., Results: Multilevel growth modeling revealed that prior to distance learning, student stress was increasing and sleep duration and quality were decreasing. After transitioning online, students' stress exposure and perception trajectories immediately and continuously decreased; sleep quality initially increased but decreased over time; and sleep duration increased but then plateaued for the remainder of the semester. Days with higher stress exposure than typical for that student were associated with lower sleep quality, and both higher stress exposure and perception at the transition were linked with simultaneous lower sleep quality. Specific groups (eg, females) were identified as at-risk for stress and sleep problems., Conclusions: Although transitioning to remote learning initially alleviated college students' stress and improved sleep, these effects plateaued, and greater exposure to academic, financial, and interpersonal stressors predicted worse sleep quality on both daily and average levels. Environmental stressors may particularly dictate sleep quality during times of transition, but adaptations in learning modalities may help mitigate short-term detrimental health outcomes during global emergencies, even during a developmental period with considerable stress vulnerability. Future studies should examine longer-term implications of these trajectories on mental and physical health., (© Sleep Research Society 2021. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Infants are born with the biological predisposition to reject bitterness. Dark green vegetables contain essential nutrients but also bitter compounds, making them more difficult to like., Objective: The Good Tastes Study was designed to determine whether reducing bitterness by adding small amounts of sugar or salt would alter infant acceptance of kale purées., Methods: Caregivers (n = 106, 94% mothers, 82% Non-Hispanic White) and children (53% male, aged 6-24 mo) participated in a videorecorded laboratory visit during which infants were offered 4 versions of puréed kale: plain, 1.2% or 1.8% added sugar, or 0.2% added salt. Caregivers rated their children's liking for each kale version. Videos were coded for the number of tastes accepted and for children's behaviors and acceptance of each kale version. A multilevel ordered logistic model was fit for the number of accepted tastes and caregiver ratings of child liking of kale versions with age, breastfeeding history, order effects, and kale version as predictors., Results: Infants 6 to <12 mo accepted more tastes (b = 2.911, P < 0.001) and were rated by caregivers as liking the kale more than older toddlers (≥18 mo; b = 1.874, P = 0.014). The plain kale was more likely to be accepted (P < 0.001); also, the first version offered was more likely to be rejected (b = -0.586, P < 0.007). Older infants (≥18 mo) exhibited more avoidant behaviors (b = 1.279, P < 0.001), more playing (b = 2.918, P < 0.001), and more self-feeding (b = 1.786, P = 0.005) than younger infants (6 to <12 mo). Children who were reported to have been breastfed more in the last 7 d were more likely to self-feed (b = 0.246, P < 0.001) and play with food (b = 0.207, P < 0.005)., Conclusions: Our findings support that there may be a sensitive period, during the early phase of complementary feeding, to improve success of introducing a novel, bitter, more difficult-to-like food. When low levels of sugar or salt were added, no advantage of bitterness reduction was observed. This study has been registered with ClinicalTrials.gov as NCT04549233., (© The Author(s) 2021. Published by Oxford University Press on behalf of the American Society for Nutrition.)

Objective: Several studies find between-person reciprocal relations between adolescent/college drinking and positive expectancies. However, drinking and expectancies from college into adulthood are largely unstudied, as are within-person associations. During these age periods, negative alcohol consequences may represent "teachable moments" via expectancy change. The current study tested the reciprocal effects of drinking, negative consequences, and expectancies from college age to adulthood., Method: Using data from a longitudinal study focused on familial alcohol disorder, age bands were created to model effects from college age (18-22) to young adulthood (23-28) and adulthood (29-34). Participants ( N = 420) reported on their drinking, negative consequences, and expectancies across three waves (1995-2010)., Results: Negative consequences did not predict negative expectancies, but the random intercepts of the two were highly related. Young adult negative consequences predicted a within-person increase in adult heavy drinking. A within-person increase in college age negative expectancies indirectly predicted a within-person decrease in adult negative consequences through reduced young adult drinking, whereas within-person increases in college age positive expectancies indirectly predicted a within-person increase in adult negative consequences through heavier young adult drinking., Conclusions: Findings suggest that negative consequences were related to trait-level negative expectancies, even though prospective effects were not observed. Findings also suggest that college age negative expectancies were protective against future use and consequences, and this effect was unique to college age.

Background: Paediatric obesity is a multifaceted public health problem. Family based behavioural interventions are the recommended approach for the prevention of excess weight gain in children and adolescents, yet few have been tested under "real-world" conditions., Objectives: To evaluate the effectiveness of a family based intervention, delivered in coordination with paediatric primary care, on child and family health outcomes., Methods: A sample of 240 families with racially and ethnically diverse (86% non-White) and predominantly low-income children (49% female) ages 6 to 12 years (M = 9.5 years) with body mass index (BMI) ≥85th percentile for age and gender were identified in paediatric primary care. Participants were randomized to either the Family Check-Up 4 Health (FCU4Health) program (N = 141) or usual care plus information (N = 99). FCU4Health, an assessment-driven individually tailored intervention designed to preempt excess weight gain by improving parenting skills was delivered for 6 months in clinic, at home and in the community. Child BMI and body fat were assessed using a bioelectrical impedance scale and caregiver-reported health behaviours (eg, diet, physical activity and family health routines) were obtained at baseline, 3, 6 and 12 months., Results: Change in child BMI and percent body fat did not differ by group assignment. Path analysis indicated significant group differences in child health behaviours at 12 months, mediated by improved family health routines at 6 months., Conclusion: The FCU4Health, delivered in coordination with paediatric primary care, significantly impacted child and family health behaviours that are associated with the development and maintenance of paediatric obesity. BMI did not significantly differ., (© 2021 World Obesity Federation.)

Recursive partitioning, also known as decision trees and classification and regression trees (CART), is a machine learning procedure that has gained traction in the behavioral sciences because of its ability to search for nonlinear and interactive effects, and produce interpretable predictive models. The recursive partitioning algorithm is greedy-searching for the variable and the splitting value that maximizes outcome homogeneity. Thus, the algorithm can be overly sensitive to chance associations in the data, particularly in small samples. In an effort to limit chance associations, we propose and evaluate a reliability-based cost function for recursive partitioning. The reliability-based cost function increases the likelihood of selecting variables that are more reliable, which should have more consistent associations with the outcome of interest. Two reliability-based cost functions are proposed, evaluated through simulation, and compared to the CART algorithm. Results indicate that reliability-based cost functions can be beneficial, particularly with smaller samples and when more reliable variables are important to the prediction, but can overlook important associations between the outcome and lower reliability predictors. The use of these cost functions was illustrated using data on depression and suicidal ideation from the National Longitudinal Survey of Youth.

Previous research has shown functional mixed-effects models and traditional mixed-effects models perform similarly when recovering individual trajectories when data were generated following a parametric structure. We extend this previous work and compare nonlinear mixed-effects (NMEM) and functional mixed-effects models' (FMEM) ability to recover underlying trajectories when generated from an inherently nonparametric process. Nonlinear trajectories were generated using B-splines, NMEMs and FMEMs were estimated, and the accuracy of the estimated curves was examined. Sample size, number of time points per curve, and measurement design were varied across simulation conditions. Results showed the FMEMs recovered the underlying mean curve more accurately than the NMEMs, and that, the FMEMs tended to recover the underlying individual curves more accurately than the NMEMs. Progesterone cycle data were then analyzed to demonstrate the utility of both approaches, and models performed similarly when analyzing these data.

We tested a dynamic structural equation model (DSEM; Asparouhov, Hamaker, & Muthén, 2018) of positive and negative affect in 254 veterans with approximately 1.5 years of experience sampling data. The analysis provided estimates of several aspects of veteran's emotional experience including "trait" positive and negative affect (i.e., mean levels), inertia (i.e., tendency for emotions to self-perpetuate), innovation variance (conceptualized as lability, reactivity, or exposure to stressors), and cross-lagged associations between positive and negative affect. Veterans with higher trait negative affect had more negative affect inertia and innovation variance. This suggests a pattern whereby the veteran has more negative reactions, and negative emotions, in turn, tend to maintain themselves, contributing to higher trait negative affect. In contrast, veterans with higher trait positive affect exhibited more positive affect innovation variance (e.g., positive reactivity). Although veterans showed some consistency in dynamics across emotions (e.g., positive and negative reactivity were positively correlated), trait positive and negative affect were not significantly associated. Veterans with higher posttraumatic stress symptoms (PTSS) at baseline exhibited higher reactivity to negative events, less positive affect, and more negative affect during the follow-up. Veterans with higher distress tolerance reported not only lower PTSS but also a more adaptive pattern of affective experience characterized by lower inertia and reactivity in negative affect and more positive lagged associations between negative affect and subsequent positive affect. The results demonstrated that distress tolerance and PTSS in veterans were associated with dynamics of positive and negative emotion over time, suggesting specific differences in affect regulation processes. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

The Family Check-Up 4 Health (FCU4Health) is an adaptation of the Family Check-Up (FCU) for delivery in primary care settings. While maintaining the original FCU's focus on parenting and child behavioral health, we added content targeting health behaviors. This study evaluated whether the adapted FCU maintained positive effects on parenting (positive behavior support, limit setting, parental warmth) and child behavioral health (self-regulation, conduct problems, emotional problems). Pediatric (6-12 years) primary care patients with a BMI ≥ 85 th %ile (n = 240) were recruited from primary care clinics in Phoenix. Children were 75% Latino, 49% female, and 73% Medicaid recipients. This type 2 effectiveness-implementation hybrid trial compared families randomized to FCU4Health (n = 141) or usual care (n = 99). FCU4Health was delivered over a period of 6 months. This study focuses on a priori secondary outcomes included parenting and child behavioral health targets of the original FCU, assessed at baseline and 3, 6, and 12 months. Significant improvements were found for the FCU4Health condition, compared to usual care, in parenting from baseline to the 3-month assessment [β = .17 (.01; .32)]. Parenting predicted improvements in child self-regulation at 6-months [β = .17 (.03; .30)], which in turn predicted reductions in conduct problems [β = - .38 (- .51; - .23)] and emotional problems [β = - .24 (- .38; - .09)] at 12 months. Ethnicity and language of delivery (English or Spanish) did not moderate these effects. The FCU4Health can improve parenting and child behavioral health outcomes when delivered in primary care.Trial Registration Trial registration number: NCT03013309 ClinicalTrials.gov.

The goals of this study were to examine the longitudinal relations between school readiness and reading and math achievement and to test if these relations were moderated by temperament. The sample included socio-economically and ethnically diverse twins ( N =551). Parents reported on school readiness when children were five years old. Teachers reported on temperament (effortful control, anger, and shyness) three years later. Standardized measures of reading and math were obtained when children were eight years old. Effortful control and shyness moderated the effect of school readiness on reading. Prediction of reading from school readiness was strongest when students were high in effortful control and low in shyness. Effortful control and shyness predicted math beyond school readiness. There were no relations involving anger. Findings demonstrate that temperament can potentiate the relations between school readiness and reading and highlight the importance of promoting school readiness and effortful control, while decreasing shyness.

Negative urgency, rash action during negative mood states, is a strong predictor of risky behavior. However, its developmental antecedents remain largely unstudied. The current study tested whether childhood temperament served as a developmental antecedent to adolescent negative urgency. Participants ( N =239) were from a longitudinal study oversampled for a family history of alcohol use disorder (AUD). Negative emotionality (anger and sadness reactivity) and effortful control were measured in childhood (5-8) and negative urgency in adolescence (13-18). Childhood anger reactivity was uniquely related to later negative urgency above and beyond sadness reactivity. Effortful control was not related to later negative urgency; however, a latent variable capturing the shared variance between childhood effortful control and anger reactivity was related to later negative urgency.

Developmental researchers often have research questions about cross-lag effects-the effect of one variable predicting a second variable at a subsequent time point. The cross-lag panel model (CLPM) is often fit to longitudinal panel data to examine cross-lag effects; however, its utility has recently been called into question because of its inability to distinguish between-person effects from within-person effects. This has led to alternative forms of the CLPM to be proposed to address these limitations, including the random-intercept CLPM and the latent curve model with structured residuals. We describe these models focusing on the interpretation of their model parameters, and apply them to examine cross-lag associations between reading and mathematics. The results from the various models suggest reading and mathematics are reciprocally related; however, the strength of these lagged associations was model dependent. We highlight the strengths and limitations of each approach and make recommendations regarding modeling choice., (© 2021 Wiley Periodicals LLC.)

Individuals typically experience changes in physical health and cognitive ability across the life span. Although these constructs dynamically relate to one another, the temporal ordering of dynamic changes in physical health and cognitive ability is not well-established. Therefore, we examined the temporal ordering of the dynamic, bidirectional relationship between physical health and memory across ages 50-87 with Bivariate Dual Change Score Models (BDCSM). Employing a model-comparison approach, we tested whether inclusion of specific directional coupling parameters resulted in a meaningful improvement in model fit, controlling for education, gender, and race. The current sample included 9,103 individuals who participated in Waves 4-11 (1998-2012) of the Health and Retirement Study. Results indicated that both memory and physical health declined across ages 50-87. Furthermore, level of memory at a given time point was positively associated with subsequent change in physical health, meaning higher memory was linked to less decline in physical health by the subsequent time point. The opposite effect, namely physical health predicting memory, was much weaker. Age differences were also evident in the bidirectional coupling model, indicating that old-old individuals (i.e., ages 75-87) exhibited a much stronger coupling effect from memory to change in physical health than younger individuals (i.e., ages 50-74). In conclusion, memory buffers decline in physical health across mid-to-later life, and this effect is especially strong at older ages. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

People encounter intertemporal decisions every day and often engage in behaviors that are not good for their future. One factor that may explain these decisions is the perception of their distal future self. An emerging body of research suggests that individuals vary in how they perceive their future self and many perceive their future self as a different person. The present research aimed to (1) build on and extend Hershfield's et al. (2011) review of the existing literature and advance the conceptualization of the relationship between the current and future self, (2) extend and develop measures of this relationship, and (3) examine whether and how this relationship predicts intrapsychic and achievement outcomes. The results of the literature review suggested that prior research mostly focused on one or two of the following components: (a) perceived relatedness between the current and future self in terms of similarity and connectedness, (b) vividness in imagining the future self, and (c) degree of positivity felt toward the future self. Additionally, differences in how researchers have labeled the overall construct lead us to propose future self-identification as a new label for the three-component construct. Our research built on existing measures to test the validity of a three-component model of future self-identification. Across three samples of first-year undergraduates, this research established the psychometric properties of the measure, and then examined the relationships between the components and four outcome domains of interest: (1) psychological well-being (self-esteem, hope), (2) imagination of the future (visual imagery of future events, perceived temporal distance), (3) self-control, and (4) academic performance. We demonstrated that the three components of future self-identification were correlated but independent factors. Additionally, the three components differed in their unique relationships with the outcome domains, demonstrating the utility of measuring all three components of future self-identification when seeking to predict important psychological and behavioral outcomes., Competing Interests: The authors have declared that no competing interests exist.

Psychometric models for longitudinal test scores typically estimate quantities associated with single-administration tests, like ability at each time-point. However, models for longitudinal tests have not considered opportunities to estimate new quantities that are unavailable from single-administration tests. Specifically, we discuss dynamic measurement models - which combine aspects of longitudinal IRT, nonlinear growth models, and dynamic assessment - to directly estimate capacity, defined as the expected future score once the construct has fully developed. After discussing the history and connecting these areas into a single framework, we apply the model to verbal test scores from the Intergenerational Studies, which follow 494 people from 3 to 72 years old. The goal is to predict adult verbal scores (Age ≥ 34) from adolescent scores (Age ≤ 20). We held-out the adult data for prediction and compared predictions from traditional longitudinal IRT ability scores and proposed dynamic measurement capacity scores from models fit to the adolescent data. Results showed that the R 2 from capacity scores were 2.5 times larger than the R 2 from longitudinal IRT ability scores (43% vs. 16%), providing some evidence that exploring new quantities available from longitudinal testing could be worthwhile when an interest in testing is forecasting future performance.

Background: Paediatric obesity poses dangers to children's short and long-term health. Multi-level ecological models posit how children's health behaviours are influenced by interpersonal relationships., Objectives: To identify profiles of individual and interpersonal health behaviours and parenting skills among caregivers and their children with elevated BMI., Methods: Participants were 240 children (63.7% Latino) ages 5 to 12 years with body mass index ≥85th percentile and their caregivers in a paediatric weight management intervention trial. A latent profile analysis was used to identify profiles among caregiver report of parenting skills; child physical activity, eating behaviours, and food and beverage choices; family mealtime, media and sleep routines; and parent health behaviours, and associations with food and housing insecurity., Results: A three-class model was chosen based on conceptual interpretation and model fit. Profiles were differentiated by parenting skills, child food choices, child physical activity habits, family mealtime, media, and sleep routines, and parent health behaviours. Food and housing insecurity were associated with class membership while child and caregiver anthropometrics were not., Conclusions: Distinct profiles existed among this low-income, racially/ethnically diverse sample of children with elevated BMI. Such findings emphasize the importance of assessing individual and interpersonal influences and contextual factors on childhood obesity., (© 2020 World Obesity Federation.)

Background: Parenting interventions like the Family Check-Up have demonstrated effects on child physical and behavioral health outcomes. However, access to these programs is limited, particularly for populations experiencing health disparities. Primary care settings have become recognized as a potential delivery system in which these programs may be implemented at scale. The purpose of this trial is to test the effectiveness of the Family Check-Up 4 Health (FCU4Health) program, an adaptation of the FCU for primary care, and assess program implementation in an integrated primary care setting., Methods: We will conduct a hybrid type 2 effectiveness-implementation trial in partnership with a primary care clinic in a low-income, majority Latino community. Families with 2- to 5-year-old children will be eligible to participate. Families will be randomized to receive the intervention (n = 130) or services as usual (n = 70) and will be assessed annually over three years. Outcomes are informed by the RE-AIM framework (i.e., reach, effectiveness, adoption, implementation, and maintenance). Effectiveness outcomes include child health behaviors (e.g., Dietary Screener Questionnaire), behavioral health (e.g., Strengths and Difficulties Questionnaire), and parenting (e.g., Proactive Parenting). Early stage implementation outcomes are also included (e.g., cost, acceptability, appropriateness, and feasibility). Effectiveness outcomes will be assessed via intent-to-treat (ITT) analyses. Implementation outcomes will be primarily descriptive with comparisons to prior trials of FCU4Health and the original FCU., Projected Outcomes: This trial will provide evidence related to the potential of integrated primary care settings to deliver evidence-based preventive interventions with a dual focus on behavioral and physical health., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Electronic-media use is associated with sleep disruptions in childhood and adolescence, although research relies primarily on subjective sleep. Effortful control, a dimension of self-regulation, may mitigate this association by helping children disengage from and regulate responses to media. We examined associations between media use and multiple actigraph-measured sleep parameters at mean and day levels and tested children's effortful control as a moderator of mean-level relations. We collected actigraph data and parents' diary reports of children's prebedtime television, video-game, laptop, desktop, cell-phone, and tablet use in 547 twin children (7-9 years old; 51.74% female). Mean-level media use was associated with bedtime and sleep duration. For the proportion of nights on which twins used media, but not the average number of media types, effortful control attenuated associations between media use and reduced sleep duration and efficiency. Day-level media use was related only to bedtime. Findings replicate and extend existing research and highlight self-regulation as a potential protective factor.

Machine learning (i.e., data mining, artificial intelligence, big data) has been increasingly applied in psychological science. Although some areas of research have benefited tremendously from a new set of statistical tools, most often in the use of biological or genetic variables, the hype has not been substantiated in more traditional areas of research. We argue that this phenomenon results from measurement errors that prevent machine-learning algorithms from accurately modeling nonlinear relationships, if indeed they exist. This shortcoming is showcased across a set of simulated examples, demonstrating that model selection between a machine-learning algorithm and regression depends on the measurement quality, regardless of sample size. We conclude with a set of recommendations and a discussion of ways to better integrate machine learning with statistics as traditionally practiced in psychological science.

Objective: Prompted engagement with a new food's sensory properties (smell, texture) has been associated with young children's acceptance of new foods. However, little is known about the prevalence and stability of children's sensory exploratory behaviors exhibited spontaneously when trying new foods. The aim of this analysis was to examine developmental trajectories of sensory exploratory behaviors (i.e., smelling, licking, spitting) in response to new foods., Method: This 3-year longitudinal study included observational data collected from 244 preschoolers. At age 4 years, children were asked to taste four novel foods. An experimenter recorded the child's displays of smelling, licking, spitting, refusals, and acceptance. Assessments were repeated at 4.5, 5.5, and 6.5 years of age. Summary scores were created for each child by totaling the number of foods smelled, licked, spit out, refused, and accepted at each time point. A series of growth models were fit to the summary scores to examine individual sensory behavior trajectories and associations between trajectories of sensory behaviors and acceptance., Results: Linear growth model parameters indicated that spitting and refusals decreased over time (p-values < 0.01), whereas acceptances increased (p < 0.01). Licking and smelling showed non-significant change (p-values > 0.01) Furthermore, decreases in licking, spitting, and refusals were associated with increases in acceptance across the study period (p-values < 0.01)., Discussion: The decline in young children's sensory exploratory behaviors in response to new foods was associated with increases in food acceptance. Our findings suggest that sensory exploratory behaviors may promote familiarity and help children learn that new foods are acceptable and safe to consume., Competing Interests: Declaration of Competing Interest The authors have no conflicts of interest relevant to this manuscript., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Cultural mismatch theory suggests that a poor fit between the cultural values endorsed by individuals and the institutions to which they belong results in emotional distress and activation of physiological stress processes, particularly for underrepresented groups. To test a novel paradigm for reducing perceptions of this cultural mismatch, the current experiment evaluated whether reminding first-year Latino university students (N = 84; M age  = 18.56; SD = 0.35; 63.1% female; 85.7% Mexican descent; 65.5% first-generation college students) about institutional support for cultural diversity and inclusion would reduce neuroendocrine and affective responses to psychosocial stress. Prior to completing a modified version of the Trier Social Stress Test, participants were randomly assigned to view either a video conveying university commitment to cultural diversity and inclusion (n = 45) or a control video (n = 39) depicting a campus tour. Five saliva samples assayed for cortisol and corresponding negative affect measures were collected to assess stress reactivity and recovery patterns (pre-task baseline, post-task +30 min, +45 min, +60 min, +75 min). Repeated measures data were analyzed using bilinear spline growth models. Viewing the culture video (compared to control) significantly reduced cortisol reactivity to the TSST and post-task negative affect levels, specifically for students endorsing higher Latino cultural values (e.g., familism, respect). Post-task cortisol levels were also reduced for students endorsing higher U.S. mainstream cultural values (e.g., self-reliance, competition). Results provide novel evidence for cultural diversity in stress responsivity and individual variation in approaches to reduce perceived cultural mismatch., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Introduction: Vignettes are commonly used to assess health care decision making when it is impractical or unethical to use experimental methods. We sought to determine whether decisions made in response to hypothetical vignettes requiring medical decisions for self or parents related to reported future likelihoods of engaging in similar behaviors., Method: Respondents ( n = 1,862) were adults recruited in person in general community settings. Individuals were assigned randomly to read 1 of a variety of vignettes that presented various medical problems being experienced either by oneself or a parent in a hypothetical context. Individuals reported their likelihoods of hiring a health care advocate to perform a variety of tasks in the context of the vignette and their likelihoods of hiring a health care advocate for themselves or their own parents in the future. Multigroup analysis was performed to estimate a latent variable path model for the vignette hiring questions and real-world future intention to hire by condition., Results: The configural model was retained. Tests of invariance for the correlation between future intentions to hire and the latent variable from the vignette decision making indicated a significant difference between self and parent conditions. However, moderate relationships existed between vignette responses and future intentions in both conditions, with approximately 25% of the variance in personal, future intentions being accounted for by vignette responses., Discussion: Our findings support the continued study of vignettes as a possible tool to measure behavioral intentions in the context of positive and negative health care decisions impacting self and others. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Integrative data analysis (IDA) involves obtaining multiple datasets, scaling the data to a common metric, and jointly analyzing the data. The first step in IDA is to scale the multisample item-level data to a common metric, which is often done with multiple group item response models (MGM). With invariance constraints tested and imposed, the estimated latent variable scores from the MGM serve as an observed variable in subsequent analyses. This approach was used with empirical multiple group data and different latent variable estimates were obtained for individuals with the same response pattern from different studies. A Monte Carlo simulation study was then conducted to compare the accuracy of latent variable estimates from the MGM, a single-group item response model, and an MGM where group differences are ignored. Results suggest that these alternative approaches led to consistent and equally accurate latent variable estimates. Implications for IDA are discussed.

In the debate about whether or not narcissism has been increasing in recent history, there is a lack of basic information about how narcissism changes across the adult life span. Existing research relies on cross-sectional samples, purposely restricts samples to include only college students, or follows one group of individuals over a short period of time. In the current study, we addressed many of these limitations by examining how narcissism changed longitudinally in a sample of 747 participants (72.3% female) from Age 13 to Age 77 across 6 samples of participants born between 1923 and 1969. Narcissism was moderately stable across the life span ( r s ranged from .37 to .52), to a comparable degree as other psychological characteristics. We found that more maladaptive forms of narcissism (e.g., hypersensitivity, willfulness) declined across life and individual autonomy increased across life. More later-born birth cohorts were lower in hypersensitivity and higher in autonomy compared with earlier-born birth cohorts; these differences were most apparent among those born after the 1930s. The results are discussed in the context of the mechanisms that drive both changes in narcissism across the life span and substantive differences in narcissism between historical periods. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Hypothalamic-pituitary-adrenal (HPA) axis activity has been identified as a mechanism through which daily life stress contributes to health problems and racial/ethnic health disparities. Stress-related changes in neuroendocrine function are evident as early as adolescence, but the ways in which promotive cultural factors may also contribute to variation in diurnal HPA activity have received little empirical attention. Grounded in cultural models of resilience, dual dimensions of Latino adolescents' cultural values (ethnic heritage and U.S. mainstream) were examined as promotive and protective factors in relation to their diurnal salivary cortisol patterns using ecological momentary assessment (N = 209; M age  = 18.10; 64.4% female). Participants provided 5 daily saliva samples for 3 days while completing corresponding electronic diary reports and using time-sensitive compliance devices (track caps, actigraphs). Results from 3-level growth curve models indicated that higher U.S. mainstream cultural values (e.g., self-reliance, competition, material success) were associated with higher average waking cortisol levels and a more rapid rate of diurnal cortisol decline (i.e., "steeper" slope). Regarding situational deviations from the diurnal rhythm (within-person differences), cortisol levels were higher in relation to diary-reported ongoing stress (vs. completed). Accounting for these situational differences in stress timing, a cross-level interaction (i.e., between-person difference in within-person process) indicated that higher perceived stress than usual was associated with lower cortisol levels for adolescents with stronger alignment to Latino ethnic heritage values (e.g., familism, respect, religiosity), compared to relatively higher cortisol levels for those with less alignment to these values. Results were consistent adjusting for participants' sex, immigrant generation, parents' education level, depressive symptoms, medication use, sleep duration, and other self-reported health behaviors. These findings join the growing science of cultural neurobiology by demonstrating the promotive and potentially regulating influence of cultural values in the daily HPA functioning of Latino adolescents., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Background: Cannabis concentrates, which are cannabis plant extracts that contain high concentrations of Δ-9-tetrahydrocannbinol (THC), have become increasingly popular among adults in the United States. However, no studies have reported on the prevalence or correlates of cannabis concentrate use in adolescents, who, as a group, are thought to be particularly vulnerable to the harms of THC., Methods: Participants are a racially and ethnically diverse group of 47 142 8th-, 10th-, and 12th-grade students recruited from 245 schools across Arizona in 2018. Participants reported on their lifetime and past-month marijuana and cannabis concentrate use, other substance use, and risk and protective factors for substance use problems spanning multiple life domains (ie, individual, peer, family, school, and community)., Results: Thirty-three percent of all 8th-, 10th-, and 12th-graders reported lifetime cannabis use, and 24% reported lifetime concentrate use. Seventy-two percent of all lifetime cannabis users had used concentrates. Relative to adolescent cannabis users who had not used concentrates, adolescent concentrate users were more likely to use other substances and to experience more risk factors, and fewer protective factors, for substance use problems across numerous life domains., Conclusions: Most adolescent cannabis users have used concentrates. Based on their risk and protective factor profile, adolescent concentrate users are at higher risk for substance use problems than adolescent cannabis users who do not use concentrates. Findings raise concerns about high-risk adolescents' exposure to high-THC cannabis., Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose., (Copyright © 2019 by the American Academy of Pediatrics.)

This study demonstrates the utility of combining principles of connectionist theory with a sophisticated statistical approach, structural equation modeling (SEM), to better understand brain-behavior relationships in studies using event-related potentials (ERPs). The models show how sequential phases of neural processing measured by averaged ERP waveform components can successfully predict task behavior (response time; RT) while accounting for individual differences in maturation and sex. The models assume that all ERP measures are affected by individual differences in physical and mental state that inflate measurement error. ERP data were collected from 154 neurotypical children (7-13 years, M = 10.22, SD = 1.48; 74 males) performing a cued Go/No-Go task during two separate sessions. Using SEM, we show a latent variable path model with good fit (e.g., χ 2 (51) = 56.20, p = .25; RMSEA = .03; CFI = .99; SRMR = .06) yielding moderate-to-large predictive coefficients from N1 through the E-wave latent variables (N1 β = -.29 → P2 β = -.44 → N2 β = .28 → P3 β =.64→ E-wave), which in turn significantly predicted RT (β =.34, p = .02). Age significantly related to N1 and P3 latent variables as well as RT (β =.31, -.58, & -.40 respectively), and Sex significantly related to the E-wave latent variable and RT (β =.36 & 0.21 respectively). Additionally, the final model suggested that individual differences in emotional and physical state accounted for a significant proportion of variance in ERP measurements, and that individual states systematically varied across sessions (i.e., the variance was not just random noise). These findings suggest that modeling ERPs as a system of inter-related processes may be a more informative approach to examining brain-behavior relationships in neurotypical and clinical groups than traditional analysis techniques., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

The goal of this article is to describe models to examine change over time with an outcome that represents a count, such as the number of alcoholic drinks per day. Common challenges encountered with this type of data are: (1) the outcome is discrete, may have a large number of zeroes, and may be overdispersed, (2) the data are clustered (multiple observations within each individual), (3) the researchers needs to carefully consider and choose an appropriate time metric, and (4) the researcher needs to identify both a proper individual (potentially nonlinear) change model and an appropriate distributional form that captures the properties of the data. In this article, we provide an overview of generalized linear models, generalized estimating equation models, and generalized latent variable (mixed-effects) models for longitudinal count outcomes focusing on the Poisson, negative binomial, zero-inflated, and hurdle distributions. We review common challenges and provide recommendations for identifying an appropriate change trajectory while determining an appropriate distributional form for the outcome (e.g., determining zero-inflation and overdispersion). We demonstrate the process of fitting and choosing a model with empirical longitudinal data on alcohol intake across adolescence collected as part of the National Longitudinal Survey of Youth 1997., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Growth curve modeling is one of the main analytical approaches to study change over time. Growth curve models are commonly estimated in the linear and nonlinear mixed-effects modeling framework in which both the mean and person-specific curves are modeled parametrically with functions of time such as the linear, quadratic, and exponential. However, when more complex nonlinear trajectories need to be estimated and researchers do not have a priori knowledge of an appropriate functional form of growth, parametric models may be too restrictive. This paper reviews functional mixed-effects models , a nonparametric extension of mixed-effects models that permit both the mean and person-specific curves to be estimated without assuming a prespecified functional form of growth. Details of the model are presented along with results from a simulation study and an empirical example. The simulation study showed functional mixed-effects models performed reasonably well under various conditions commonly associated with longitudinal panel data, such as few time points per person, irregularly spaced time points across persons, missingness, and nonlinear trajectories. The usefulness of functional mixed-effects models is illustrated by analyzing empirical data from the Early Childhood Longitudinal Study - Kindergarten Class of 1998-1999.

This didactic article aims to provide a gentle introduction to penalized splines as a way of estimating nonlinear growth curves in which many observations are collected over time on a single or multiple individuals. We begin by presenting piecewise linear models in which the time domain of the data is divided into consecutive phases and a separate linear regression line is fitted in each phase. Linear splines add the feature that the regression lines fitted in adjacent phases are always joined at the boundary so there is no discontinuity in level between phases. Splines are highly flexible raising the fundamental tradeoff between model fit and smoothness of the curve. Penalized spline models address this tradeoff by introducing a penalty term to achieve balance between fit and smoothness. The linear mixed-effects model, familiar from multilevel analysis, is introduced as a method for estimating penalized spline models. Higher order spline models using quadratic or cubic functions which further enhance a smooth fit are introduced. Technical issues in estimation, hypothesis testing, and constructing confidence intervals for higher order penalized spline models are considered. We then use data from the Early Childhood Longitudinal Study to illustrate each step in fitting a higher order penalized spline model, and to illustrate hypothesis testing, the construction of confidence intervals, and the comparison of the functions in 2 groups (boys and girls). Extensive graphical illustrations are provided throughout. Annotated computer scripts using the R package nlme are provided in online supplemental materials. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Longitudinal studies have found that male adolescents who deal drugs, associate with delinquent peers, and engage in aggressive behavior are at increased risk for carrying a gun (between-individual risks). However, it is unclear whether changes in these risk factors help to explain fluctuations in youth gun carrying across adolescence (within-individual risks). The current study examined this issue using a community sample of 970 adolescent males (58% Black, 42% White) assessed annually from ages 14 to 18. Multilevel models examined the extent to which between-individual differences and within-individual changes in drug dealing, peer delinquency, aggressive behavior, and neighborhood disadvantage were associated with gun carrying across adolescence. Each of these predictors, except for disadvantage, exerted a between-individual and within-individual influence for Black youth. For White youth, drug dealing was significant on both levels, peer delinquency was a significant between-individual predictor, and aggression was a significant within-individual predictor. Neighborhood disadvantage did not significantly predict gun carrying in the model, on either the between- or within-individual level, for Black or White youth. These results stress the importance of examining race-specific predictors of gun carrying among Black and White adolescents and point to drug dealing as a robust predictor of gun carrying, at both the between-individual and within-individual levels for youth of either race. Efforts to prevent drug market involvement and reduce aggressive behaviors in adolescence may in turn prove useful for preventing firearm violence. (PsycINFO Database Record (c) 2019 APA, all rights reserved).