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BACKGROUND: Previous meta-analyses considering associations between parental depression (PD) and child symptoms have considered PD based primarily on self-report of depression symptoms. The present meta-analysis, in contrast, evaluated the effect of parents' clinically-diagnosed depressive disorders (PDD) on child internalizing and externalizing symptoms and considered both family- and study-level variables that influenced the strength of these effects. METHODS: We examined 111 effect sizes nested in 40 studies including a clinical assessment of parents' major or persistent depressive disorder and measures of children's internalizing or externalizing behaviors published between 2000 and 2020. We used a multi-level meta-analytic framework to account for nesting of multiple effect sizes within studies. RESULTS: PDD was associated with children's internalizing (weighted mean r = 0.211) and externalizing (weighted mean r = 0.204) behaviors. Family- and study-level variables moderated these relations, including the inclusion of fathers in the sample, the specific measure of internalizing behavior, reporting of diagnostic reliability, and informant for problem behaviors. LIMITATIONS: Limitations include exclusive consideration of internalizing and externalizing symptoms (versus other symptom types or problems) and the limited number of father-only studies from which to base conclusions about the relative effect of maternal vs. paternal depression. CONCLUSIONS: The similarity between the current findings and previous meta-analyses suggests that researchers studying the effects of PD may be able to bypass more exhaustive clinical interviews for less burdensome depression symptom inventories. Furthermore, our findings suggest that researchers and clinicians should consider how PD impacts not just child depressive symptoms, but myriad problem behaviors.

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The accumulation of day-to-day stressors can impact mental and physical health. How people respond to stressful events is a key mechanism responsible for the effects of stress, and individual differences in stress responses can either perpetuate or prevent negative consequences. Most research on daily stress processes has focused on affective responses to stressors, but stress responses can involve more than just affect (e.g., behavior, cognitions). Additionally, most research has studied the role of neuroticism in shaping those responses, but many other individual differences are associated with stress. In this study, we more broadly characterized daily stress processes by expanding the nomological networks of stress responses to include Big Five personality states. We also linked those stress responses to all Big Five traits, as well as individual differences in stress variety, severity, and controllability. We studied a sample of participants (N = 1,090) who reported on stressful events, their appraisal of events in terms of severity and controllability, and their Big Five personality states daily for 8-10 days (N = 8,870 observations). Multi-level structural equation models were used to separate how characteristics of the perceived stressful situation and characteristics of the person play into daily stress processes. Results showed that (1) all Big Five personality states shift in response to perceived stress, (2) all Big Five personality traits relate to average levels of perceived stress variety, severity, and controllability, (3) individual differences in personality and average perceived stress variety and perceived severity relate to the strength of personality state responses to daily stress, albeit in a more limited fashion. Our results point to new pathways by which stressors affect people in everyday life and begin to clarify processes that may explain individual differences in risk or resilience to the harmful effects of stress.

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Understanding the dynamics of inter-group cooperation in human adaptation has been the subject of recent empirical and theoretical studies in evolutionary anthropology, beginning to fill gaps in our knowledge of how interactions across political, economic and social domains can - and often do - lead to stable, large-scale cooperation. Here we investigate dyadic intergroup cooperation in shotgun hunting in the Republic of the Congo. In the Congo Basin, inter-group cooperation between foragers and farmers is at the centre of an exchange system maintained by traditional norms and institutions such as fictive kinship. Here, we focused on what factors predict cooperative shotgun hunting exchanges between BaYaka and Yambe. We conducted structured interviews with 48 BaYaka hunters and 18 Yambe men who organise hunts in a village along the Motaba River. We used Bayesian multilevel regression models to investigate the influence of Yambe and BaYaka attributes on probability of dyadic cooperation. We found that BaYaka men's reputations as skilled hunters and their family size each predicted cooperation in shotgun hunting, whereas there was no effect of Yambe attributes (status, wealth, family size). We discuss the results in terms of evolutionary models of men as hunters and inter-group cooperation, as well as biodiversity conservation implications.

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General inpatient (GIP) hospice care is used only minimally for hospice patients, and more than a quarter of Medicare hospice facilities do not provide GIP care. To determine the impact of hospices' capacity to provide on emergency department use during hospice enrollment and live discharge from hospice, we used Surveillance, Epidemiology, and End Results-Medicare linked data and CMS Provider of Services data from 2007 to 2013 from ten states and two metropolitan regions. Grouping hospices into three GIP care provision categories: 1) no-GIP; 2) GIP-contract; and 3) GIP-IHF where hospices directly provide GIP care in their own inpatient hospice facility (IHF), we built a multilevel logistic model that accounted for unobserved hospice characteristics. Nearly 9% of the study sample received GIP care, of which 82% received such care in the last week of discharge. GIP-IHF hospices had lower live discharge rates than no-GIP hospices (AOR: .61; 95% CI: .47-.79; P < .001) and GIP-contract hospices (AOR: .84; 95% CI: .70-1.00; P < .05). Similarly, GIP-contract hospices were also associated with a decreased risk of live discharge, compared to no-GIP hospices (AOR: .76; CI: .62-.92; P < .05). There was no difference in emergency department use between no-GIP hospices and hospices with such capacity. Our results suggest that hospices capable of providing GIP care have lower live discharge rates than their counterparts. However, the fact that GIP care tends to be provided too close to death limits its effectiveness in preventing avoidable emergency department use.

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Social Defense Theory (SDT) states that anxious attachment reflects an adaptive sentinel strategy, whereby anxious people should be better able to detect lies than secure people. Existing research on this issue, however, has not been able to evaluate whether heightened lie detection among anxious individuals is due to an actual ability or a bias to assume that others are lying (one that pays off when others are, in fact, lying). We addressed this issue in a study in which 254 adults had to determine whether people in videos were lying or telling the truth about their experiences. Contrary to the predictions of SDT, highly anxious people did not have a heightened ability to separate lies from truths, but were biased to assume that others were lying regardless of the authenticity of their statements.

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BACKGROUND: Parent-child relationship quality (PCRQ) and parental monitoring (PM) are associated with adolescent behavior problems following child maltreatment (CM). Whether these associations are best characterized as between (trait) or within-person (state) differences is unknown. OBJECTIVE: Disaggregate between and within-person effects for PCRQ and PM on adolescent behavior problems and test whether these effects vary as a function of prior CM. PARTICIPANTS AND SETTING: Participants (n = 941) are from the Longitudinal Studies on Child Abuse and Neglect (LONGSCAN). METHODS: Multi-level modeling was employed using PCRQ, PM, and adolescent behaviors assessed at ages 12, 14, and 16 and confirmed CM prior to age 12. RESULTS: At the between-person level, adolescents with higher average levels of PCRQ and PM had significantly lower initial levels of externalizing (b = -9.47 and -5.54, respectively, p's < 0.05; possible range 0-66) and internalizing behaviors (b = -4.45 and -6.41, respectively, p's < 0.001; possible range 0-62). At the within-person level, greater declines in externalizing and internalizing behaviors were found when individuals reported higher-than-usual levels of PCRQ (b = -4.99 and -2.59, respectively, for externalizing and internalizing, p's < 0.001) and PM (b = -3.58 and -1.69, respectively, for externalizing and internalizing, p's < 0.001). There was an interaction between PM and CM on internalizing behaviors over time (b = -1.15, p = 0.026). CONCLUSIONS: There are between and within-person effects of PCRQ and PM on adolescent behavior problems. Adolescents with CM histories and low levels of PM may be at risk for sustained internalizing behaviors.

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Authoritarian leaders and parties are challenging the foundations of democracy across the world. We argue that this authoritarian upsurge is systematically linked to culturally shared beliefs about the world. Study 1 linked social axioms to authoritarianism and ethnonationalism in a US college sample. Study 2 replicated these findings with a multi-national dataset and predicted authoritarianism with country-level social axioms. Results from these two individual-level studies indicated that right-wing authoritarianism, social dominance orientation, and ethnonationalism were related to reward for application, religiosity, and fate control, but low social flexibility. Left-wing authoritarianism was linked to high levels of social cynicism, and fate control, but inversely related to the other three axioms. Countries with high dynamic externality had weaker democracies, as evident in fewer civil liberties and worse political culture, and a greater prevalence of individual-level authoritarian and ethnonationalist sentiments. We discuss the implications of the relationship between authoritarianism and culture in this current democratic backsliding, and the susceptibility of different cultures to the lure of illiberalism.

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BACKGROUND: Globally, the number of obese adults has increased rapidly in many developing countries. The links between increased educational attainment and lower risks of overweight/obesity have been studied in a number of high-income contexts. However, educational attainment can have a different association with obesity at different levels of economic development and different stages of the nutritional transition, and these associations may vary by period and cohort. This study aims to provide evidence on the shifting of educational gradients in overweight/obesity in Indonesia, a low middle income country. METHODS: Using five waves of Indonesian Family Life Survey (IFLS), this study examines the Body Mass Index (BMI) trajectories of 14,810 individuals from 1993 to 2014. This study analyses how educational gradients in BMI have shifted over time and across cohorts using a hierarchical age-period-cohort (HAPC) model to account for the effects of age and the changes in historical periods (social and environmental contexts). RESULTS: In older generations, higher educational attainment is associated with higher BMI, but the gap between educational groups shrinks in more recently-born cohorts. The BMI of lower educational groups is catching up with that of the tertiary educated, leading to an increased risk of overweight/obesity among low educated individuals. Having tertiary education lowers the risk of weight gain (-0.04 point) among recently-born cohort of women, but it still increases the risk (+ 0.04 point) for men. CONCLUSION: Changes in access to education and the ongoing nutritional transition in Indonesia are leading to a shifting of educational gradients in overweight/obesity over time. The rising trends in BMI among low-educated and younger individuals are of substantial concern for Indonesian public health due to their implications for the risk of communicable and non-communicable diseases in the future.

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Air pollution imposes detrimental impacts on residents' health and the general quality of life. Quantifying the influential mechanism of air pollution on residents' happiness and the economic value brought by environmental quality improvement could provide a scientific basis for the construction of livable cities. This study estimated urban residents' willingness to pay for air pollution abatement by modeling the spatial relationship between air quality and self-rated happiness with a Bayesian multi-level ordinal categorical response model. Using large-scale geo-referenced survey data, collected in the Bohai Rim area of China (including 43 cities), we found that a standard deviation decrease in the number of polluted days over a year was associated with about a 15 percent increase in the odds of reporting a higher degree of happiness, after controlling for a wide range of individual- and city-scale covariate effects. On average, urban residents in the Bohai Rim region were willing to pay roughly 1.42 percent of their average monthly household income for mitigating marginal reductions in air pollution, although great spatial variability was also presented. Together, we hoped that these results could provide solid empirical evidence for China's regional environmental policies aiming to promote individuals' well-being.

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AIMS: To evaluate the feasibility and validity of a new method of quantifying cannabis flower use, integrating the amount of cannabis flower smoked, and the potency of the cannabis flower. DESIGN: Ecological momentary assessment (EMA) for 14 days. SETTING: Participants' daily lives in Columbia, Missouri, USA. PARTICIPANTS: A total of 50 community participants, who were regular cannabis flower smokers (48% female). MEASUREMENTS: Momentary subjective intoxication ratings following cannabis flower smoking; momentary quantity of cannabis flower smoked; potency of cannabis flower smoked in terms of percentage of tetrahydrocannabinol (THC) concentration assessed with a portable device, the Purpl Pro; and time since finished smoking. FINDINGS: Participants completed our field testing of their cannabis flower (96.2%) and were compliant with our 2-week EMA protocol (73% for random prompts and 91% for morning reports). Momentary subjective intoxication ratings trended down as a function of time since smoking (r = -0.10, P = 0.004, 95% CI, [-0.17, -0.03]). Multi-level model (MLM) results indicated the momentary standard THC units (mg THC) were positively associated with momentary subjective intoxication ratings (b = 0.01, P = 0.03, 95% CI, [0.01, 0.012]). CONCLUSIONS: There is evidence to support the feasibility and initial validity of a new method of quantifying cannabis flower use into standard tetrahydrocannabinol units. Researchers investigating the effects of cannabis flower use on a range of outcomes (e.g. neurobehavioral effects, emotional sequelae, and driving impairment) as well as in clinical treatment trials might adopt this method to provide estimates of cannabis flower use.

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Youth cannabis use is influenced by overlapping environmental contexts. We examined the associations between proximity to cannabis retailers and seeing cannabis advertisements and cannabis use behaviors in Oregon, a state with adult cannabis legalization. We used 2017 anonymous survey data from 24,154 Oregon 8th and 11th grade students. After adjustments for student and school district characteristics, advertising for 8th graders and presence of a retailer within a mile from school for 11th graders were associated with cannabis use and perceived harm. Additional policy efforts may further reduce youth exposure to cannabis.

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LAY ABSTRACT: Language impairment is one of the early signs of Autism Spectrum Disorder (ASD) that alerts parents to take their children for early diagnosis and intervention. Little is known about how children's autism traits, IQ, initial language abilities and parental inputs influence their language abilities. In addition, only a few studies have compared the relative influence of these factors. The present study addressed these issues by examining the structural language in parent-child spontaneous interactions. Forty-two Cantonese (Chinese)-speaking autistic children aged four to eight were recruited. Their expressive language skills grew rapidly more than 9 months, but their development trajectories varied. Initial expressive language ability is the only significant predictor of child language outcomes and language growth trajectories. In contrast, nonverbal cognition, autism traits, and parents' input do not affect language outcomes in children with ASD. Therefore, early language intervention is crucial for autistic children at all severity and IQ levels.

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Functional data analysis (FDA), which is a branch of statistics on modeling infinite dimensional random vectors resided in functional spaces, has become a major research area for Journal of Multivariate Analysis. We review some fundamental concepts of FDA, their origins and connections from multivariate analysis, and some of its recent developments, including multi-level functional data analysis, high-dimensional functional regression, and dependent functional data analysis. We also discuss the impact of these new methodology developments on genetics, plant science, wearable device data analysis, image data analysis, and business analytics. Two real data examples are provided to motivate our discussions.

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Self-compassionate individuals treat themselves kindly when undergoing stress. The present study examined self-compassion's relationship to risky decision-making on a gambling task by 240 problem and non-problem gamblers who were tested in a casino setting. Multi-level modeling analyses showed that participants expressed differential rates of learning to avoid risks on the gambling task, depending on their status as potential problem/non-problem gamblers and their level of self-compassion. Among potential problem gamblers, participants higher in self-compassion showed significant gains in performance over decision-making trials, which approximated those of non-problem gamblers and adults without impairments in the population. In contrast, potential problem gamblers lower in self-compassion showed chance levels of performance, which approximated those of adults with impairments. In some circumstances, self-compassion can disinhibit individuals from taking greater risks. For potential problem gamblers in a casino setting, however, the benefits of self-compassion as a means to reinforce self-control appear to outweigh the risks.

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Research on the friendships of adolescents who offend has overwhelmingly focused on delinquency, despite developmental evidence that friendships are a large source of support for youth. In order to understand between- and within-individual differences in friendship support over time with adolescents who offend, the present study used multi-level modeling techniques on data from male youth in the Pathways to Desistance study. Participants were a racially and ethnically diverse (43% Black, 35% Hispanic, and 21% White) group of 1040 male youth adjudicated or convicted of serious offenses between age 14 and 18. Youth reported high levels of support, which modestly declined over time, and they reported less support from delinquent peers. Black and Hispanic youth reported higher levels of friendship support than White youth, but the trajectory of support did not statistically differ by race or ethnicity. The friendships of youth who commit serious offenses are nuanced relationships that should not be viewed dichotomously as delinquent or supportive.

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BACKGROUND AND AIMS: Cannabis is commonly used among people who drink alcohol, but evidence suggests a nuanced relationship between alcohol consumption and cannabis use. In particular, among individuals undergoing alcohol treatment the impact of cannabis on alcohol intake may depend upon cannabis use frequency. We aimed to test the effects of within-day cannabis use on total drinks consumed and likelihood of binge drinking on a given day among all participants and compare these relationships between males and females and between individuals who reported infrequent and frequent cannabis use. DESIGN: This observational study is a substudy of a larger randomized controlled trial (RCT). Individuals were included from the RCT if they reported any cannabis use and were divided into groups based on cannabis use patterns. Alcohol use was compared within and between groups. SETTING: Individuals were recruited from 2016 to 2020 from community and university settings in Denver and Boulder, CO, USA. PARTICIPANTS: Of the 182 individuals enrolled in the RCT, 96 cannabis-using subjects were included in these analyses. MEASUREMENTS: Subjects completed a time-line follow-back (TLFB) at baseline, 4, 8 (end of treatment) and 20 weeks. Daily data on alcohol and cannabis use from the TLFB at all time-points were analyzed. FINDINGS: Across the sample (n = 96), individuals drank approximately 29% fewer drinks [95% confidence interval (CI) = 18-39%, P < 0.001] and were 2.06 times (95% CI =1.37-3.08, P < 0.001) less likely to have a binge-drinking episode on days that cannabis was used compared with days that cannabis was not used. These patterns were observed in males, females and the infrequent and frequent cannabis use groups. Findings were inconclusive regarding differences in the association between cannabis use and alcohol outcomes when comparing males and females and when comparing infrequent and frequent cannabis use groups. CONCLUSIONS: Heavy drinkers engaged in treatment to reduce their alcohol consumption who also use cannabis appear to increase their cannabis use on days when they reduce their alcohol consumption.

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This study used multi-level modeling in a sample of 952,739 adults across 150 countries to investigate age differences in demographic, psychological, and social predictors of life satisfaction. Based on percentiles of age distribution, the sample was categorized into five age groups (15-24, 25-33, 34-43, 44-57, and ⩾58). The predictors were generally more effective in predicting life satisfaction in older groups (i.e. age ⩾34 years) than in younger groups (i.e. age ⩽33 years). Although the determinants of life satisfaction were generally consistent across the lifespan, the study unraveled differences in the predictive power of some of the predictors across the age groups.

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BACKGROUND: Studies on total knee arthroplasty (TKA) with computer-assisted orthopedic surgery (CAOS) are limited by sample size or overlooked longitudinal performance of the system. This study aimed to assess resection accuracy across the entire TKA application history of a modern CAOS system considering multiple factors. METHODS: A retrospective analysis was performed based on a database that archives technical logs of all TKAs performed using a CAOS system. Coronal resection errors and percentage of outliers (<2° alignment error) in the proximal tibia and distal femur were assessed. Multilevel modeling was used to understand whether and where the resection error variability was located in the grouping categories, which included geographic region, individual established surgeon, preoperative alignment, adoption phase (learning/proficient), and version of the CAOS software application. RESULTS: A total of 10,144 cases were reviewed. The accuracy (mean) and precision (standard deviation) of the coronal alignment for both the tibia and femur were at the sub-degree level. High percentages of acceptable resections were observed across the pooled and each grouping category. The accountability for the amounts of total variability in tibial and femoral resection errors was negligible for all grouping categories, demonstrated by ICC values less than the common variations in observational studies. CONCLUSIONS: The study applied advanced analyses to assess alignment outcome in TKA bony resection alignment across the history of a specific CAOS system. The results demonstrated high resection alignment accuracy insensitive to geographic region, CAOS software application, adoption phase, preoperative alignment, and inter-surgeon differences.

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Background. Despite a growing trend in community-based research, studies investigating the influence of multi-level community factors on individual-level outcomes remain relatively sparse. Objective. The current study aimed to extend this literature by investigating the association between community disadvantage measured at the community level, and adolescents' substance use over time. Additionally, this study also investigated the influence of parental support and community belonging on this association. Methods. Data were drawn from Waves I and III of the National Longitudinal Study of Adolescent to Adult Health data set. Using a multi-level modeling approach, we tested the association between community disadvantage and substance use during adolescence. Second, to determine if this association held longitudinally, we examined the influence of community disadvantage on substance use over time, into young adulthood. Lastly, we tested the moderating effects of parental support and community belonging on the association between community disadvantage and substance use during adolescence and young adulthood. Results. Findings suggested that individuals experiencing the greatest disadvantage were less likely to engage in substance use in comparison to those experiencing the greatest advantage. Conclusions/Importance. Differential effects of parental support and community belonging on community disadvantage and substance use were also found. Implications of these findings are discussed.

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