How many imputations are really needed? Some practical clarifications of multiple imputation theory

Indirect and direct contributions of executive functions to reading comprehension

In the current study, we investigated the role of executive functions in explaining how word recognition and language comprehension jointly predict reading comprehension in multilingual and monolingual students (Grades 1 and 2). Specifically, mediation and moderation models were tested and compared to offer a more nuanced understanding of the role of executive functions in reading comprehension. The results provided support for the mediation model in which executive functions indirectly contribute to reading comprehension via word recognition and language comprehension in both language groups. In addition, executive functions directly predicted reading comprehension (i.e., partial mediation). These findings suggest that executive functions serve as general cognitive processes that support word recognition, language comprehension, and reading comprehension (i.e., direct contribution) as well as facilitate connecting word recognition and language comprehension in support for reading comprehension (i.e., indirect contribution). These findings are consistent with prominent models of reading comprehension.

Transitions to polysubstance use: Prospective cohort study of adolescents in Australia

BACKGROUND AND AIMS

Adolescent polysubstance use has been associated with adverse social and health outcomes. Our aim was to measure rates and transitions to polysubstance use during adolescence and identify factors associated with initiation and discontinuation of polysubstance use.

DESIGN

Prospective cohort study. Multistate Markov modelling was used to estimate rates and identify correlates of transitions between substance use states.

SETTING AND PARTICIPANTS

Adolescent-parent dyads (n = 1927; adolescents in grade 7, age ≈13 years) were recruited from Australian schools during 2010/11 (Wave 1). Adolescents were surveyed annually until 2016/17 (n = 1503; age ≈19 years; Wave 7) and parents were surveyed annually until 2014/15 (Wave 5).

MEASUREMENTS

Alcohol, tobacco, cannabis and 3,4-methylenedioxymethamphetamine (MDMA) use outcomes were collected at Waves 3-7. Potential confounders were collected at Waves 1-6 and consisted of sex, anxiety and depression symptoms and externalizing problems, parental monitoring, family conflict and cohesion, parental substance use and peer substance use. Covariates were age and family socioeconomic status.

FINDINGS

Few adolescents engaged in polysubstance use at earlier waves (Wave 3: 5%; Wave 4: 8%), but proportions increased sharply across adolescence (Waves 5-7: 17%, 24%, 36%). Rates of transitioning to polysubstance use increased with age, with few (<9%) adolescents transitioning out. More externalizing problems (odds ratio [OR] = 1.10; 99.6% confidence interval [CI] = 1.07-1.14), parental heavy episodic drinking (OR = 1.22; 99.6% CI = 1.07-1.40), parental illicit substance use (OR = 3.56; 99.6% CI = 1.43-8.86), peer alcohol use (OR = 5.68; 99.6% CI = 1.59-20.50) and peer smoking (OR = 4.18; 99.6% CI = 1.95-8.81) were associated with transitioning to polysubstance use.

CONCLUSIONS

Polysubstance use in Australia appears to be rare during early adolescence but more common in later adolescence with low rates of transitioning out. Externalizing problems and greater parental and peer substance use are risk factors for adolescent polysubstance use that may be suitable intervention targets.

Early childhood exposures to phthalates in association with attention-deficit/hyperactivity disorder behaviors in middle childhood and adolescence in the ReCHARGE study

BACKGROUND

Early-life exposure to phthalates alters behaviors in animals. However, epidemiological evidence on childhood phthalate exposure and attention-deficit/hyperactivity disorder (ADHD) behaviors is limited.

METHODS

This study included 243 children from the ReCHARGE (Revisiting Childhood Autism Risks from Genetics and Environment) study, who were previously classified as having autism spectrum disorder (ASD), developmental delay, other early concerns, and typical development in the CHARGE case-control study. Twenty phthalate metabolites were measured in spot urine samples collected from children aged 2-5 years. Parents reported on children's ADHD symptoms at ages 8-18 years using Conners-3 Parent Rating Scale. Covariate-adjusted negative binomial generalized linear models were used to investigate associations between individual phthalate metabolite concentrations and raw scores. Weighted quantile sum (WQS) regression with repeated holdout validation was used to examine mixture effects of phthalate metabolites on behavioral scores. Effect modification by child sex was evaluated.

RESULTS

Among 12 phthalate metabolites detected in >75% of the samples, higher mono-2-heptyl phthalate (MHPP) was associated with higher scores on Inattentive (β per doubling = 0.05, 95% confidence interval [CI]: 0.02, 0.08) and Hyperactive/Impulsive scales (β = 0.04, 95% CI: 0.00, 0.07), especially among children with ASD. Higher mono-carboxy isooctyl phthalate (MCiOP) was associated with higher Hyperactivity/Impulsivity scores (β = 0.07, 95% CI: -0.01, 0.15), especially among typically developing children. The associations of the molar sum of high molecular weight (HMW) phthalate metabolites and a phthalate metabolite mixture with Hyperactivity/Impulsivity scores were modified by sex, showing more pronounced adverse associations among females.

CONCLUSION

Exposure to phthalates during early childhood may impact ADHD behaviors in middle childhood and adolescence, particularly among females. Although our findings may not be broadly generalizable due to the diverse diagnostic profiles within our study population, our robust findings on sex-specific associations warrant further investigations.

Psychosocial Correlates of Suicidal Ideation and Behavior in Adolescents and Preadolescent Children Discharged from an Emergency Department in Israel

OBJECTIVES

Adolescent suicidal behavior is highly prevalent in pediatric psychiatric emergency departments, and there is a growing occurrence of such behavior among preadolescent children. This study aims to examine the psychosocial factors associated with nonfatal suicidal behaviors in children (<12 years old) and adolescents (aged 12-18), to gain insight into unique and shared characteristics of suicidal behavior across these two age groups.

METHOD

This study investigates the psychosocial characteristics associated with suicidal ideation and behaviors in an emergency department sample of 183 children and adolescents aged 7-18 years in Israel. Participants completed a diagnostic interview, and self-report and parent-report questionnaires of psychosocial measures. Cross-sectional correlational and regression analyses were used to determine significant correlates of suicidal outcomes within the two age groups.

RESULTS

Among adolescents, females exhibited a higher prevalence of suicidal thoughts and behaviors, while in children, both boys and girls showed similar rates. Depression correlated with suicidal ideation for both adolescents and children. In children, anxiety and conduct symptoms were associated with suicidal behavior, whereas in adolescents, suicidal behavior was associated with depression and anxiety.

CONCLUSIONS

The present findings contribute to the growing understanding of factors associated with suicidal thoughts and behaviors among children in comparison to adolescents. These findings underscore the importance of targeting specific risk factors when developing assessment and intervention strategies tailored to the two age groups.

Profiles of Family and School Experiences and Adjustment of Adolescents During the Transition to High School

Although family and school experiences play an important role in adolescents' adjustment during the transition to high school, most prior studies investigated the effects of these experiences in isolation; their joint implications for both adolescents' concurrent and long-term adjustment outcomes are less clear, and the potential role of individual characteristics within such associations remains understudied. Based on 525 10th graders (Mage = 15.48, SDage = 0.71, 43.6% boys) who participated in a longitudinal study, the present research aimed to identify distinct family and school experience profiles among first-year high school students and examine their associations with adolescents' internalizing problems and externalizing problems, both concurrently and 18 months later. Latent profile analysis revealed four distinctive profiles: thriving, low resources-moderate family risk, developmental stress-high parental conflicts, and developmental stress-high peer victimization profiles. The other three profiles (vs. the thriving profile) reported significantly higher levels of concurrent internalizing problems; while these differences diminished after 18 months. However, the enduring impacts of these profiles on internalizing problems persisted among adolescents with higher levels of environmental sensitivity. Additionally, adolescents characterized by two developmental stress profiles (vs. the thriving profile) exhibited significantly higher levels of externalizing problems both currently and longitudinally. Findings underscore the importance of identifying at-risk populations among adolescents during the transition to high school by including both family and school experiences when examining environmental influence on their adjustment, as well as the necessity to take individual environmental sensitivity into account when examining these associations.

Risk of bleeding amongst warfarin and direct oral anticoagulant users prescribed immediate antibiotics for respiratory tract infection: Cohort study

PURPOSE

Incidence of bleeding amongst warfarin and direct oral anticoagulant (DOAC) users is greater following a respiratory tract infection (RTI). It is unclear whether immediate antibiotics modify this association. We estimated the risk of bleeding amongst warfarin and DOAC users with RTI by antibiotic treatment.

METHODS

This retrospective cohort study used data from the Clinical Practice Research Datalink (CPRD) GOLD for adults in England prescribed warfarin or a DOAC, who sought primary care for an RTI between 1st January 2011 and 31st December 2019. Outcomes were major bleeding (hospital admission for intracranial or gastrointestinal bleeding), and non-major bleeding (hospital admission or General Practice consult for epistaxis, haemoptysis, or haematuria). Cox models derived hazard ratios (HRs) and 95% confidence intervals (CIs) for each outcome, adjusting for confounders using inverse probability of treatment weighting.

RESULTS

Of 14 817 warfarin and DOAC users consulting for an RTI, 8768 (59%) were prescribed immediate antibiotics and 6049 (41%) were not. Approximately 49% were female, and median age was 76 years. Antibiotics were associated with reduced risk of major bleeding (adjusted HR 0.38, 95% CI 0.25 to 0.58). This was consistent across several sensitivity analyses. Antibiotics were also associated with a reduced risk of non-major bleeding (adjusted HR 0.78, 95% CI 0.61 to 0.99).

CONCLUSIONS

Immediate antibiotics were associated with reduced risk of bleeding amongst warfarin and DOAC users with an RTI. Further work is needed to understand mechanisms and confirm whether a lower threshold for antibiotic use for RTI in this population may be beneficial.

Longitudinal relationships across emotional distress, perceived emotion regulation, and social connections during early adolescence: A developmental cascades investigation

Early adolescence is a vulnerable period for emotional distress. Both emotion regulation and social connection to peers and family adults are understood to be associated with distress. However, existing longitudinal work has not explored these constructs jointly in a way that estimates their reciprocal relationships over adolescence. We present a three-wave random-intercepts cross-lagged panel model of reciprocal relationships between emotional distress, perceived emotion regulation, and social connections during early adolescence, among 15,864 participants from education settings in disadvantaged areas of England, over three annual waves (at ages 11/12, 12/13, and 13/14 years). Findings showed that emotional distress and perceived emotion regulation share a negative relationship over time, and that higher perceived emotion regulation predicts greater family connection in the initial stages of early adolescence (from age 11-12 to 12-13 years). Findings also indicated that connection to peers is positively associated with family connection, but also positively predicts slightly greater distress in the later stages of early adolescence (from age 12-13 to 13-14 years). Findings indicate a risk of negative spiral between emotional distress and perceived emotion regulation in early adolescence, and that social connection may not necessarily play the role we might expect in reducing distress.

Early Detection and Prediction of Anthracycline-Induced Cardiotoxicity - A Prospective Cohort Study

BACKGROUND

In the present study, we aimed to investigate whether early cardiac biomarker alterations and echocardiographic parameters, including left atrial (LA) strain, can predict anthracycline-induced cardiotoxicity (AIC) and thus develop a predictive risk score.Methods and Results: The AIC registry is a prospective, observational cohort study designed to gather serial echocardiographic and biomarker data before and after anthracycline chemotherapy. Cardiotoxicity was defined as a reduction in left ventricular ejection fraction (LVEF) ≥10 percentage points from baseline and <55%. In total, 383 patients (93% women; median age, 57 [46-66] years) completed the 2-year follow-up; 42 (11.0%) patients developed cardiotoxicity (median time to onset, 292 [175-440] days). Increases in cardiac troponin T (TnT) and B-type natriuretic peptide (BNP) and relative reductions in the left ventricular global longitudinal strain (LV GLS) and LA reservoir strain [LASr] at 3 months after anthracycline administration were independently associated with subsequent cardiotoxicity. A risk score containing 2 clinical variables (smoking and prior cardiovascular disease), 2 cardiac biomarkers at 3 months (TnT ≥0.019 ng/mL and BNP ≥31.1 pg/mL), 2 echocardiographic variables at 3 months (relative declines in LV GLS [≥6.5%], and LASr [≥7.5%]) was generated.

CONCLUSIONS

Early decline in LASr was independently associated with subsequent cardiotoxicity. The AIC risk score may provide useful prognostication in patients receiving anthracyclines.

Empirically derived profiles of neurocognitive functioning in youth and young adults with sickle cell disease

OBJECTIVE

Sickle cell disease (SCD) is an inherited blood disorder associated with neurocognitive deficits. In contrast to variable-centered approaches, no known research has utilized person-centered strategies to identify multidimensional patterns of neurocognitive functioning of an individual with SCD. The purpose of the present study was to create empirically derived profiles and identify predictors of neurocognitive functioning subgroups among youth and young adults with SCD.

METHODS

Individuals with SCD (N = 393, mean age 14.05 years, age range 8-24, 50.4% female/49.6% male) completed neurocognitive assessments. Latent profile analysis derived subgroups/classes of neurocognitive functioning and determined relations with demographic and medical variables.

RESULTS

Three latent classes emerged: average functioning (n = 102, 27%), low average functioning (n = 225, 60%), and exceptionally low functioning (n = 46, 12%). Older age was associated with membership in the low average and exceptionally low functioning groups (relative to the average group). Being prescribed hydroxyurea was associated with membership in the average functioning group (relative to the low average group) and absence of hydroxyurea use was associated with membership in the exceptionally low group (relative to the low average group). Lower social vulnerability was associated with membership in the average functioning group compared to the low average and exceptionally low groups.

CONCLUSIONS

Clinicians can help reduce disparities in cognitive development for individuals with SCD by promoting early treatment with hydroxyurea and implementing methods to reduce social vulnerabilities that can interfere with access to evidence-based care.

Factors associated with the use of cannabis for self-medication by adults: data from the French TEMPO cohort study

BACKGROUND

Medical cannabis, legalized in many countries, remains illegal in France. Despite an experiment in the medical use of cannabis that began in March 2021 in France, little is known about the factors associated with the use of cannabis for self-medication among adults.

METHODS

Data came from the French TEMPO cohort and were collected between December 2020 and May 2021. Overall, 345 participants aged 27-47 were included. Cannabis for self-medication was defined using the following questions: 'Why do you use cannabis?' and 'In what form do you use cannabis?'. The penalized regression method "Elastic net" was used to determine factors associated with the use of cannabis for self-medication, with the hypothesis that it is mainly used for pain in individuals who have already used cannabis.

RESULTS

More than half of the participants reported having ever used cannabis (58%). Only 10% used it for self-declared medical reasons (n = 36). All self-medication cannabis users, except one, were also using cannabis for recreational purposes. The main factors associated with cannabis use for self-medication vs. other reasons included cannabis use trajectories, the presence of musculoskeletal disorders, tobacco smoking, and parental divorce.

CONCLUSIONS

Engaging in cannabis use during adolescence or early adulthood may increase the likelihood of resorting to self-medication in adulthood. Due to the propensity of individuals with cannabis use during adolescence to resort to uncontrolled products for self-medication, this population should be more systematically targeted and screened for symptoms and comorbidities that may be associated with cannabis use.

Psychosocial Adjustment as a Mediator in the Relationship between Childhood Exposure to Maternal Depression and Subsequent BMI and Overweight Risk

OBJECTIVES

This study investigated the correlation between early exposure to maternal depression (from 1 month to Grade 3) and the body mass index (BMI) and potential for overweight in adolescents at age 15. It further examined if the pathway of this correlation was influenced by psychosocial adjustment during mid-childhood (Grade 3 to Grade 6), specifically through internalizing and externalizing behaviors.

METHODS

Our study utilized data from 844 participants in the NICHD Study of Early Child Care and Youth Development (SECCYD) to assess the effects of maternal depression, observed from when the children were one month old to Grade 3, on BMI and the likelihood of overweight or obesity in adolescents aged 15. We also explored whether the average scores of internalizing and externalizing behaviors between Grades 3 and 6 mediated the impact of early maternal depressive symptoms on subsequent health outcomes. The analysis was adjusted for demographic and socioeconomic factors.

RESULTS

Findings revealed that internalizing and externalizing behavioral issues significantly mediated the relationship between prolonged maternal depression exposure and subsequent BMI, as well as the risk of overweight or obesity, in adolescents at age 15. Notably, this mediating effect was predominantly evident in girls.

CONCLUSIONS

Our research demonstrated that the correlation between prolonged exposure to maternal depressive symptoms in childhood and increased BMI and overweight risk in adolescence was significantly mediated through psychosocial adjustment behaviors. We advocate for further exploration of additional mediating factors in future studies.

OpenWMB: An open-source and automated working memory task battery for OpenSesame

Working memory capacity (WMC) has been measured with a plethora of cognitive tasks. Several preeminent automated batteries of working memory (WM) tasks have been developed recently. However, despite all their advantages, most batteries were programmed in paid platforms and/or only included a single WM paradigm. To address these issues, we developed the OpenWMB, an automated battery comprising seven tasks from three distinct paradigms (complex spans, updating tasks, and binding tasks) that tap into several functional aspects of WM (simultaneous storage and processing, updating, and binding). The battery runs on open-source software (OpenSesame) and is freely available online in a ready-to-download format. The OpenWMB possesses flexible features and includes a data processing script (that converts data into a format ready for statistical analysis). The instrument is available in Portuguese and English. However, we only assessed the psychometric properties of the former version. The Portuguese version presented good internal consistency and considerable internal and predictive validity: all tasks loaded into a single factor. Additionally, the WMC estimate was strongly correlated with a fluid intelligence factor. This study also tried to contribute to the ongoing debate regarding the best method to assess WMC. We computed a permutation analysis to compare the amount of variance shared between a fluid intelligence factor and (1) each WM task, (2) homogenous WMC factors (based on multiple tasks from the same paradigm), and (3) heterogeneous WMC factors (derived from triplets of tasks from different paradigms). Our results suggested that heterogeneous factors provided the best estimates of WMC.

Prevalence of youth experiencing homelessness and its association with suicidal thoughts and behaviors: Findings from a population-based study

Although various studies have examined factors associated with suicidal behaviors among youth, few studies have investigated the association between youth experiencing homelessness (YEH) and suicidal thoughts and behaviors (STBs) using a large nationally representative sample. The objectives of this study were to investigate prevalence of YEH and its association with STBs. Data for this study came from the 2021 Youth Risk Behavior Survey. An analytic sample of 17,033 youth aged 14-18 (51.7 % male) was analyzed using binary logistic regression. Of the 17,033 youth examined, 3 % experienced homelessness during the past 30 days, 21.3 % experienced suicidal ideation, 17.3 % made a suicide plan, and 10.9 % attempted suicide during the past 12 months. Controlling for demographic characteristics and feeling sad or hopeless, YEH was associated with 2.48 times higher odds of experiencing suicidal ideation (AOR=2.48, p<.001), 2.46 times higher odds of making a suicide plan (AOR=2.46, p<.001), and 4.38 times higher odds of making a suicide attempt (AOR=4.38, p<.001). The findings of this study highlight the importance of identifying youth who are at risk of experiencing homelessness to ensure early interventions are put in place to prevent suicidal behaviors.

Comparative feasibility and preliminary efficacy of CBT for insomnia among adults seeking and not seeking addiction treatment

Two out of three adults seeking treatment for alcohol or other substance use disorders report co-occurring symptoms of insomnia. This study compared the feasibility, acceptability, and preliminary efficacy of cognitive behavioural therapy for insomnia (CBT-I) among adults seeking and not seeking treatment for substance use. Adults with alcohol or other substance use disorders (n = 22, 32% female, 82% White; Mage  = 39.5) completed assessments at baseline, post-treatment, and at 6 week follow-up. Of those, 11 were and 11 were not enrolled in substance use treatment. All received CBT-I. Multiple imputation was used for missing data. Data were analysed using repeated measures analyses of variance. In the substance use treatment group, 6/11 completed post and 5/11 completed follow-up. In the non-treatment group, 9/11 completed post and 7/11 completed follow-up. Participants in both groups reported improvements in insomnia severity, sleep onset latency, and dysfunctional beliefs about sleep, with most effects evident at post and follow-up. There was a marginal group-by-time interaction in the change in frequency of substance use, with only participants not in substance use treatment reporting decreases at follow-up. Participants in substance use treatment reported significant reductions in substance-related problems and symptoms of post-traumatic stress disorder over time; however, they also reported more symptoms at baseline. CBT-I produces similar reductions in insomnia but is relatively less feasible among individuals in (versus not in) treatment for substance use disorder. This may be due to the more complex logistics of accessing CBT-I among those in treatment. We speculate that integrating CBT-I into treatment for addictions may improve feasibility in this population. clinicaltrials.gov NCT04198311.

Frailty prevalence in 42 European countries by age and gender: development of the SHARE Frailty Atlas for Europe

Comparative frailty prevalence data across European countries is sparse due to heterogeneous measurement methods. The Survey of Health, Ageing and Retirement (SHARE) initiative conducted interviews with probability sampling of non-institutionalized elderly people in several European countries. Previous frailty analyses of SHARE datasets were limited to initial SHARE countries and did not provide age- and gender-stratified frailty prevalence. Our aim was to provide age- and gender-stratified frailty prevalence estimates in all European countries, with predictions where necessary. From 29 SHARE participating countries, 311,915 individual surveys were analyzed. Frailty prevalence was estimated by country and gender in 5-year age bands using the SHARE Frailty Instrument and a frailty index. Association of frailty prevalence with age, gender, and GDP per capita (country-specific economic indicator for predictions) was investigated in multivariate mixed logistic regression models with or without multiple imputation. Female gender and increasing age were significantly associated with higher frailty prevalence. Higher GDP per capita, with or without purchasing power parity adjustment, was significantly associated with lower frailty prevalence in the 65-79 age groups in all analyses. Observed and predicted data on frailty rates by country are provided in the interactive SHARE Frailty Atlas for Europe. Our study provides age- and gender-stratified frailty prevalence estimates for all European countries, revealing remarkable between-country heterogeneity. Higher frailty prevalence is strongly associated with lower GDP per capita, underlining the importance of investigating transferability of evidence across countries at different developmental levels and calling for improved policies to reduce inequity in risk of developing frailty across European countries.

Effectiveness of a smartphone app (Drink Less) versus usual digital care for reducing alcohol consumption among increasing-and-higher-risk adult drinkers in the UK: a two-arm, parallel-group, double-blind, randomised controlled trial

Background

Digital interventions, including apps and websites, can be effective for reducing alcohol consumption. However, many are not evidence- or theory-informed and have not been evaluated. We tested the effectiveness of the Drink Less app for reducing alcohol consumption compared with usual digital care in the UK.

Methods

In this two-arm, parallel group, double-blind, randomised controlled trial, we enrolled increasing-and-higher-risk drinkers (AUDIT ≥ 8) in the UK, who were motivated to reduce their alcohol consumption and willing to use a digital intervention to do so, via online methods. Participants were randomly assigned (1:1), using an online algorithm, to receive a web link to download the Drink Less app (intervention) or to the NHS alcohol advice webpage (usual digital care). Researchers were masked to group allocation. Participants were followed up at one, three and six months. The primary outcome was self-reported weekly alcohol consumption at six months, adjusting for baseline consumption. The full analytic sample was used in most analyses, though missing data was treated in different ways. The primary, pre-registered intention-to-treat analysis assumed baseline-carried-forwards. Secondary pre-registered analyses also focused on the full analytic sample and used alternatives including multiple imputation and last observation carried forwards. This trial is registered with the ISRCTN registry, ISRCTN64052601.

Findings

Between 07/13/2020 and 03/29/2022, 5602 people were randomly assigned to the Drink Less app (n = 2788) or comparator (n = 2814) groups. Six-month follow-up rates were 79% and 80%, respectively. The primary pre-registered conservative intention-to-treat approach assuming non-responders were drinking at baseline levels of consumption, found a non-significant greater reduction of 0.98 units in weekly alcohol consumption in the intervention group at 6-month follow-up (95% CI -2.67 to 0.70). The data were insensitive to detect the hypothesised effect (Bayes factor = 1.17). Data were not missing completely at random, with 6-month follow-up rates differing in terms of education, occupation, and income. We therefore conducted the pre-registered sensitivity analysis using multiple imputation, showing that the Drink Less app resulted in a 2.00-unit greater weekly reduction at 6-month follow-up compared with the NHS alcohol advice webpage (95% CI -3.76 to -0.24). Fewer than 0.1% of participants in both arms who responded to one, three or six-month follow-up reported adverse events linked to participation in the trial.

Interpretation

The Drink Less app may be effective in reducing the alcohol consumption in increasing-and-higher-risk drinkers motivated to reduce their consumption.

Funding

NIHR Public Health Research Programme.

Variation by race/ethnicity-gender in the relationship between arrest history and alcohol use

BACKGROUND

Alcohol use contributes to the national burden of morbidity and mortality in the United States. Arrest, as a unique form of criminal justice system involvement, may be related to alcohol use from adolescence to adulthood. This study investigates the relationship between arrest and alcohol use across race/ethnicity-gender (R/E-G) status (e.g., Black, Latinx, and White men and women) as youth age.

METHODS

Data from 17 waves (1997-2015) of the National Longitudinal Survey of Youth, 1997 cohort (N = 8901) were used to explore how variation in R/E-G moderates the relationship between arrest history and alcohol use trajectories from 13 to 30 years old. Multilevel zero-inflated Poisson and Poisson regression were used to assess R/E-G variation in the relationship between arrest history and days of alcohol consumption, drinks per drinking occasion, and days of binge drinking after accounting for covariates, including incarceration.

RESULTS

The findings indicate that an arrest history is associated with alcohol use, and these results varied by R/E-G status, age, and alcohol use outcome. Those with an arrest history reported more days of drinking than their counterparts without an arrest; yet, the magnitude and direction of average drinks per occasion and binge drinking days varied by R/E-G status and age. Paradoxically, Black men, Black women, and Latinx men with an arrest history reported fewer days of binge drinking as they aged than their counterparts without an arrest.

CONCLUSIONS

A history of arrest is important for alcohol use from adolescence to adulthood and varies by R/E-G status, age, and alcohol use outcome. This work confirms previous scholarship showing that arrest and alcohol use are socially patterned and R/E-G status is an essential consideration in understanding the relationship. Future work should include additional identities and health behaviors and the consequences related to alcohol use outcomes.

Perceived Balance, Balance Performance, and Falls Among Community-Dwelling Older Adults: A Retrospective, Cross-Sectional Study

Objectives: To examine the extent to which older adults' perceived balance, a balance performance test, and fear of falling (FOF) were associated with falls in the last month. Methods: The Health Belief Model served as the theoretical framework. A retrospective, cross-sectional, secondary analysis using data from the National Health and Aging Trends Study was conducted (N = 7499). Results: Multiple logistic regression analysis revealed that the odds of reporting a fall in the past month were 3.3 times (p < .001) greater for participants who self-reported having a balance problem compared to those who did not. The Short Physical Performance Battery and FOF were not uniquely associated with falls. Discussion: Our findings support limited evidence suggesting that older adults' perceived balance is a better predictor of falls than balance performance. Assessing older adults' perceived balance may be a new way to assess older adults' fall risk to prevent future falls.

Examining factors related to low performance of predicting remission in participants with major depressive disorder using neuroimaging data and other clinical features

Major depressive disorder (MDD), a prevalent mental health issue, affects more than 8% of the US population, and almost 17% in the young group of 18-25 years old. Since Covid-19, its prevalence has become even more significant. However, the remission (being free of depression) rates of first-line antidepressant treatments on MDD are only about 30%. To improve treatment outcomes, researchers have built various predictive models for treatment responses and yet none of them have been adopted in clinical use. One reason is that most predictive models are based on data from subjective questionnaires, which are less reliable. Neuroimaging data are promising objective prognostic factors, but they are expensive to obtain and hence predictive models using neuroimaging data are limited and such studies were usually in small scale (N<100). In this paper, we proposed an advanced machine learning (ML) pipeline for small training dataset with large number of features. We implemented multiple imputation for missing data and repeated K-fold cross validation (CV) to robustly estimate predictive performances. Different feature selection methods and stacking methods using 6 general ML models including random forest, gradient boosting decision tree, XGBoost, penalized logistic regression, support vector machine (SVM), and neural network were examined to evaluate the model performances. All predictive models were compared using model performance metrics such as accuracy, balanced accuracy, area under ROC curve (AUC), sensitivity and specificity. Our proposed ML pipeline was applied to a training dataset and obtained an accuracy and AUC above 0.80. But such high performance failed while applying our ML pipeline using an external validation dataset from the EMBARC study which is a multi-center study. We further examined the possible reasons especially the site heterogeneity issue.

Trusted Sources of Information and COVID-19 Vaccination Among Black Adults in Chicago

PURPOSE

Examine trust in sources of COVID-19 information and vaccination status.

DESIGN

Cross-sectional.

SETTING

Chicago, Illinois.

SUBJECTS

Convenience sample of 538 Black adults surveyed between September 2021 and March 2022.

MEASURES

Trust in sources of COVID-19 information, COVID-19 vaccination.

ANALYSIS

Using latent class analysis, we identified classes of trust in sources of COVID-19 information. We considered predictors of class membership using multinomial logistic regression and examined unadjusted and adjusted associations between trust class membership and COVID-19 vaccination while accounting for uncertainty in class assignment.

RESULTS

Our analytic sample (n = 522) was predominantly aged 18-34 (52%) and female (71%). Results suggested a four-class solution: (1) low trust, (2) high trust in all sources, (3) high trust in doctor and government, and (4) high trust in doctor, faith leader, and family. Unadjusted odds of vaccination were greater in the high trust in all sources (OR 2.0, 95% CI 1.2-3.2), high trust in doctor and government (OR 2.7, 95% CI 1.4-5.3), and high trust in doctor, faith leader, and family classes (OR 2.1, 95% CI 1.2, 3.9) than the low trust class. However, these associations were not significant after adjustment for sociodemographic and health status factors.

CONCLUSION

Although COVID-19 vaccination varied across trust classes, our adjusted findings do not suggest a direct association between trust and vaccination, reflecting complexities in the vaccine decision-making process.

The Multilevel Factor Structure of Social Cohesion, Mutual Efficacy, and Informal Social Control: A Case for Practice-Informed Research

Collective efficacy is the process by which social cohesion is activated as informal social control. Mutual efficacy, the perceived capability of the community, mediates the relationship between the two constructs. Interventions based on collective efficacy have a positive impact on individuals but are limited in their ability to affect the broader community. A possible explanation for this finding is that community-level theories operate differently at the individual and neighborhood levels. The present study contributes to the literature by testing the multilevel factor structure of social cohesion, mutual efficacy, and informal social control. Findings suggest that multiple-factor structures demonstrate adequate model fit. However, the three-factor model is most consistent with social work theory and practice. Social workers can foster constructive dialogue to build social cohesion, authentically engage residents to build mutual efficacy, and train residents in skills necessary to institute informal social control.

Examining Profiles of U.S. Children's Screen Time and Associations with Academic Skills

Children's screen time (ST) increased in recent years, but investigations of the content and context (e.g., parental presence, and device type) of ST in predicting early academic skills remains understudied. In this study of 127 four- and five-year-olds, we examined whether the educational content and contextual information about children's ST from time diary interviews at age 4 predicted direct assessments of academic skills at age five. Cluster analyses detected three unique groups: Cluster One was "lowest ST and highest non-educational TV, with little parental presence," Cluster Two was "moderate ST and highest educational mobile devices, with moderate parental presence," and Cluster Three was "highest total ST and moderate educational ST and high parental presence." Children in Cluster Two scored significantly higher in literacy skills at age five than peers in Cluster One and Cluster Three. Children in Cluster One scored significantly higher in spatial skills compared to those in Cluster Three. No significant associations were detected between children's ST and number skills. Findings suggest that educational content and contextual features of ST combine in meaningful ways and appear to better predict children's literacy and spatial skills compared to variable-centered approaches. Methodological implications of this research and future directions are discussed.

Risk perception as a motivational resource during the COVID-19 pandemic: the role of vaccination status and emerging variants

BACKGROUND

People's perceived risk of being infected and having severe illness was conceived as a motivational source of adherence to behavioral measures during the COVID-19 crisis.

METHODS

We used online self-reported data, spanning 20 months of the COVID-19 crisis in Belgium (n = 221,791; 34.4% vaccinated; July 2020 - March 2022) to study the association between risk perception and motivation.

RESULTS

Both perceived infection probability and severity fluctuated across time as a function of the characteristics of emerging variants, with unvaccinated persons perceiving decreasingly less risk compared to vaccinated ones. Perceived severity (and not perceived probability) was the most critical predictor of autonomous motivation for adherence to health-protective measures, a pattern observed at both the between-day and between-person level among both vaccinated and unvaccinated individuals. An integrated process model further indicated that on days with higher hospitalization load, participants reported being more adherent because risk severity and autonomous motivation for adherence were more elevated on these days.

CONCLUSIONS

These findings suggest that risk severity served as a critical and dynamic resource for adherence to behavioral measures because it fostered greater autonomous regulation.

Satisfaction, engagement, and outcomes in internet-delivered cognitive behaviour therapy adapted for people of diverse ethnocultural groups: an observational trial with benchmarking

Introduction

Depression and anxiety are the most common mental health disorders worldwide. Internet-Delivered Cognitive Behaviour Therapy (ICBT) can reduce barriers to care to broad cross sections of the population. However, People of Diverse Ethnocultural Backgrounds (PDEGs) other than White/Caucasian underutilize mental health services and are under represented in clinical trials of psychological interventions.

Methods

To address this research gap we adapted an evidence-based ICBT program for PDEGs. The current pilot study explores the engagement, satisfaction, and effectiveness in the adapted ICBT program by PDEGs (N=41) when benchmarked against a sample of PDEGs (N=134) who previously completed a non-adapted version of the ICBT program.

Results

An intent-to-treat analyses showed that the adapted ICBT program is effective in reducing anxiety and depression symptoms among PDEGs. Large within-group pre-to post-treatment Cohen's effect sizes of d = 1.23, 95% CI [0.68, 1.77] and d = 1.24, 95% CI [0.69, 1.79] were found for depression and anxiety, respectively. Further, 81.8% of the PDEGs who received the adapted ICBT reported overall satisfaction, 90.9% reported increased confidence in managing symptoms, and 70.7% completed majority of the psychoeducational lessons in the ICBT program.

Conclusion

No statistically significant differences in the clinical outcomes, engagement, and satisfaction were found between the pilot study and benchmark sample. Future directions for ICBT research with PDEGs are described.

Clinical trial registration

https://beta.clinicaltrials.gov/study/NCT05523492, identifier NCT05523492.

Treating comorbid insomnia in patients enrolled in therapist-assisted transdiagnostic internet-delivered cognitive behaviour therapy for anxiety and depression: A randomized controlled trial

Transdiagnostic Internet-delivered cognitive behaviour therapy (ICBT) for patients experiencing anxiety and depression can produce large improvements in symptoms. Comorbid insomnia is common among individuals seeking treatment for anxiety and depression, yet transdiagnostic ICBT rarely targets insomnia and many ICBT patients report that symptoms of insomnia remain after treatment. This trial explored the impact of including a brief intervention for insomnia alongside an existing transdiagnostic ICBT course that included brief weekly therapist assistance. Patients were randomly assigned to receive either the Standard transdiagnostic (n = 75) or a Sleep-Enhanced course (n = 142), which included information on sleep restriction and stimulus control. Intent-to-treat analyses using generalized estimating equation (GEE) showed significant, large reductions in all primary outcomes (insomnia: d = 0.96, 95 % CI [0.68, 1.24]; depression: d = 1.04, 95 % CI [0.76, 1.33]; and anxiety: d = 1.23, 95 % CI [0.94, 1.52]) from pre-treatment to post-treatment, with changes maintained at 3-months. Patients assigned to the Sleep-Enhanced course reported larger reductions in insomnia than patients in the Standard transdiagnostic course (Cohen's d = 0.31, 95 % CI [0.034, 0.60]) at post-treatment but no significant between-group differences in any of the primary outcomes were found at follow-up. Patient-reported adherence to sleep restriction guidelines (p = .03), but not stimulus control instructions (p = .84) was associated with greater reductions in insomnia symptoms during the course. Overall, patients who received the Sleep-Enhanced course were satisfied with the materials and most patients reported making sleep behaviour changes. The trial results demonstrate that including a brief intervention targeting insomnia can be beneficial for many patients who enroll in ICBT primarily for symptoms related to anxiety and depression.

Quality of life in people with epilepsy: The associations of anti-seizure medications and biopsychosocial variables

People with epilepsy, on average, experience lower quality of life (QOL) than healthy controls. This study examined the associations between specific anti-seizure medications, biopsychosocial factors, and QOL in people with epilepsy. Analysis of covariance revealed that individuals taking three or more anti-seizure medications had significantly lower QOL than those taking levetiracetam. Findings also demonstrated that when examining biopsychosocial factors as predictors of QOL in hierarchical regression, anxiety, depression, and daytime sleepiness were significant predictors of QOL. Once these factors were entered into the model, number of medications was no longer significant. The final model predicted 59.6% of the variance in QOL. In clinical settings, providers should take a patient-centered approach that includes regular assessment of QOL and an emphasis on good psychological care for those coping with anxiety, depression, and sleep difficulty. These findings underscore the importance of addressing psychological health and sleep factors within the epilepsy population.

Monte Carlo confidence intervals for the indirect effect with missing data

Missing data is a common occurrence in mediation analysis. As a result, the methods used to construct confidence intervals around the indirect effect should consider missing data. Previous research has demonstrated that, for the indirect effect in data with complete cases, the Monte Carlo method performs as well as nonparametric bootstrap confidence intervals (see MacKinnon et al., Multivariate Behavioral Research, 39(1), 99-128, 2004; Preacher & Selig, Communication Methods and Measures, 6(2), 77-98, 2012; Tofighi & MacKinnon, Structural Equation Modeling: A Multidisciplinary Journal, 23(2), 194-205, 2015). In this manuscript, we propose a simple, fast, and accurate two-step approach for generating confidence intervals for the indirect effect, in the presence of missing data, based on the Monte Carlo method. In the first step, an appropriate method, for example, full-information maximum likelihood or multiple imputation, is used to estimate the parameters and their corresponding sampling variance-covariance matrix in a mediation model. In the second step, the sampling distribution of the indirect effect is simulated using estimates from the first step. A confidence interval is constructed from the resulting sampling distribution. A simulation study with various conditions is presented. Implications of the results for applied research are discussed.

Acceptability and effectiveness study of therapist-assisted internet-delivered cognitive behaviour therapy for agriculture producers

Agriculture producers are less likely to seek or to receive mental health services compared to the general population. Additional research is needed to identify effective and accessible mental health interventions for this underserved population. This study used a mixed-methods approach and open trial design to examine the acceptability and effectiveness of therapist-assisted internet-delivered cognitive behaviour therapy (ICBT) supplemented with an additional agricultural resource for clients from agricultural backgrounds receiving ICBT in routine care. Clients (n = 34) participated in an online, five-lesson course that provided psychoeducation and strategies for dealing with symptoms of anxiety and depression, with weekly therapist assistance. Clients also received a tailored resource (developed with input from those with an agricultural background) providing culturally specific information and case stories pertinent to agricultural communities. Intent-to-treat analyses showed that the ICBT program was effective in reducing anxiety and depression symptoms among the agricultural population. Large within-group pre-to-post-treatment Cohen's effect sizes of d = 1.14, 95 % CI [0.41, 1.86] and d = 1.15, 95 % CI [0.42, 1.87] were found for depression and anxiety, respectively and comparable to the same program offered to the general population. Clients also experienced reductions in perceived stress and significant improvements in resiliency from pre- to post-treatment. Semi-structured interviews conducted at post-treatment with the agricultural clients (n = 31) on their experiences with ICBT identified four main themes: perceived strengths of ICBT and the tailored resource, suggestions to improve service delivery for agriculture producers, clients experienced internal and external challenges to participating in ICBT, and the positive impact of the course reached beyond the client. Very high satisfaction rates were found. These results provide support for the acceptability and effectiveness of ICBT with a tailored resource offered in routine care among agriculture producers.

Sport Participation for Academic Success: Evidence From the Longitudinal Study of Australian Children

BACKGROUND

We aimed to identify long-term patterns of sport participation (overall, team, and individual sport) from childhood into adolescence, and to examine the association between these patterns and academic outcomes.

METHODS

This cohort study used data from the Longitudinal Study of Australian Children in wave 3 (4-5 y) to wave 9 (20-21 y). The participants were a nationally representative sample of 4241 children. We conducted latent class analyses to identify sport participation trajectories and assessed the association between these trajectories and academic outcomes.

RESULTS

Continued sport participation was associated with lower odds of being absent from school (OR = 0.44; 95% confidence intervals [CIs], 0.26 to 0.74), better performance on attention (B = -0.010; 95% CIs, -0.019 to -0.002) and working memory (B = -0.013; 95% CIs, -0.023 to -0.003), higher numeracy (B = 20.21; 95% CIs, 14.56 to 25.86) and literacy scores (B = 9.42; 95% CIs, 2.82 to 16.02), higher end of school academic performance (B = 3.28; 95% CIs, 1.47 to 5.09), and higher odds of studying at university (OR = 1.78; 95% CIs, 1.32 to 2.40). Team sport participation was associated with reduced absenteeism, better performance on attention and working memory, and being awarded the Higher School Certificate. Whereas individual sport participation was associated with higher literacy scores and end of school academic performance.

CONCLUSIONS

Team and individual sport participation both benefit academic outcomes, but differently. Given the decline in sport participation during adolescence, these findings highlight the need to develop educational policies to establish an environment that promotes sport participation, which in turn could improve academic outcomes.

Fine Motor Skills, a Surrogate of Motor Planning Ability, at Age 2 Predict Social Skills at Age 6

OBJECTIVES

Motor planning is the cognitive process of planning necessary steps for achieving a purposeful movement and is specifically reflected through object manipulation. This study aimed to investigate whether fine motor skills, a surrogate of the motor planning ability of object manipulation, in early childhood are associated with later social skills, in a general-population birth cohort.

METHODS

A total of 913 children, participating in the Hamamatsu Birth Cohort for Mothers and Children, were enrolled. Social skills were measured using the Vineland Adaptive Behavior Scales-II, Socialization domain, at age 6 years. Fine motor skills were measured using the Mullen Scales of Early Learning at 14, 24, and 32 months. The associations between fine motor skills at ages 14, 24, and 32 months and social skills at age 6 years were tested separately through multivariable linear regression after adjusting for covariates, including gross motor and language skills at the contemporaneous age, autistic symptoms at age 6 years, and demographic factors.

RESULTS

Fine motor skills at 24 and 32 months were significantly associated with social skills at age 6 years (at 24 months: nonstandardized regression coefficient = 1.38 [95% CI, 0.50-2.26], p = 0.002; at 32 months: 1.47 [0.56-2.38], p = 0.001).

CONCLUSION

Fine motor skills in early childhood predicted social skills at age 6 years, indicating an association between the complex motor planning ability of object manipulation and later social skills. Children who demonstrate fine motor delay at as early an age as 2 years should be closely monitored by child professionals.

Early childhood hospitalization and problematic behaviors: A propensity score analysis

Existing research suggests that children who experience poverty and hospitalization in early childhood are at risk of developing behavior problems. We examined whether the association between early childhood hospitalization and children's internalizing and externalizing behaviors were moderated by family poverty status and child sex. Participants included 224 children from the National Institute of Child Health and Human Development Study of Early Child Care and Youth Development. There was no direct association between hospitalization and problematic behaviors. Poverty status during early childhood, but not child sex, significantly moderated the association between hospitalization and externalizing problems. Findings support the need for community programs that promote an integrative approach to healthcare for families experiencing poverty.

Neural correlates of altered emotional responsivity to infant stimuli in mothers who use substances

Mothers who use substances during pregnancy and postpartum may have altered maternal behavior towards their infants, which can have negative consequences on infant social-emotional development. Since maternal substance use has been associated with difficulties in recognizing and responding to infant emotional expressions, investigating mothers' subjective responses to emotional infant stimuli may provide insight into the neural and psychological processes underlying these differences in maternal behavior. In this study, 39 mothers who used substances during the perinatal period and 42 mothers who did not underwent functional magnetic resonance imaging while viewing infant faces and hearing infant cries. Afterwards, they rated the emotional intensity they thought each infant felt ('think'-rating), and how intensely they felt in response to each infant stimulus ('feel'-rating). Mothers who used substances had lower 'feel'-ratings of infant stimuli compared to mothers who did not. Brain regions implicated in affective processing (e.g., insula, inferior frontal gyrus) were less active in response to infant stimuli, and activity in these brain regions statistically predicted maternal substance-use status. Interestingly, 'think'-ratings and activation in brain regions related to cognitive processing (e.g., medial prefrontal cortex) were comparable between the two groups of mothers. Taken together, these results suggest specific neural and psychological processes related to emotional responsivity to infant stimuli may reflect differences in maternal affective processing and may contribute to differences in maternal behavior in mothers who use substances compared to mothers who do not. The findings suggest potential neural targets for increasing maternal emotional responsivity and improving child outcomes.

Dealing with missing data in multi-informant studies: A comparison of approaches

Multi-informant studies are popular in social and behavioral science. However, their data analyses are challenging because data from different informants carry both shared and unique information and are often incomplete. Using Monte Carlo Simulation, the current study compares three approaches that can be used to analyze incomplete multi-informant data when there is a distinction between reference and nonreference informants. These approaches include a two-method measurement model for planned missing data (2MM-PMD), treating nonreference informants' reports as auxiliary variables with the full-information maximum likelihood method or multiple imputation, and listwise deletion. The result suggests that 2MM-PMD, when correctly specified and data are missing at random, has the best overall performance among the examined approaches regarding point estimates, type I error rates, and statistical power. In addition, it is also more robust to data that are not missing at random.

Longitudinal Examination of the Relationship Between Virtual Companionship and Social Anxiety: Emotional Expression as a Mediator and Mindfulness as a Moderator

Purpose

As the interweaving of human interaction and Artificial Intelligence (AI) intensifies, understanding the psychological impact, especially regarding social anxiety, of engaging with AI-driven virtual companionship becomes crucial. While a substantial body of research on social anxiety has concentrated on interactions between individuals, both online and offline, there is a noticeable deficit in explorations concerning how human-computer interactions influence social anxiety. This study offers a comprehensive, longitudinal examination of this underinvestigated relationship, intricately dissecting the roles of emotional expression and mindfulness within the context of AI-based interactions.

Methods

We use social support theory and emotion regulation theory as our theoretical foundation. Data were collected from 618 undergraduate students in Eastern China over two intervals (May 15, 2023 and September 15, 2023). We utilized SPSS 26.0 to conduct descriptive statistics, while AMOS 25.0 facilitated multi-group confirmatory factor analysis (CFA) and the cross-lagged panel modeling.

Results

Our findings indicate that as the frequency of virtual companionship use increases, there's a decline in online social anxiety but a rise in offline social anxiety. Emotional expression emerges as a significant mediator, with heightened emotional expression leading to reduced social anxiety in both contexts. Mindfulness serves as a potent moderator, suggesting its protective role against the potential pitfalls of frequent virtual interactions.

Conclusion

This research not only deepens our theoretical understanding of the dynamics between virtual interactions and social anxiety but also serves as a cornerstone for future endeavors aimed at optimizing AI and devising therapeutic interventions tailored for the digital generation.

Statistical analysis plan for the phaco TIp position during clear corneal Phacoemulsification Surgery (TIPS) randomized controlled trial

BACKGROUND

Cornea is the most important refractive media in the eye, and damage to the corneal endothelium is one of the most common causes of poor visual outcome following cataract surgery, particularly in those with predisposing factors. The role of phaco tip position during phacoemulsification on corneal endothelial damage is ambiguous, and there is no consensus regarding the most cornea-friendly phaco tip position (bevel-up or bevel-down). The objective of the trial is to compare the effect of phaco tip position (bevel-up vs. bevel-down) during phacoemulsification using direct chop technique on corneal endothelial cell count.

METHODS AND DESIGN

TIPS is a randomised, multicentre, parallel-group, triple-masked (participant, outcome assessor, and statistician) trial with 1:1 allocation ratio. A total of 480 eligible participants, aged > 18 years with immature cataract, will be randomly allocated into bevel-up and bevel-down groups at two centres. Randomisation will be stratified according to the cataract grade. The primary outcome is postoperative endothelial cell count at 1 month. Secondary outcomes are central corneal thickness on postoperative days 1, 15, and 30 and difference in intraoperative complications.

CONCLUSION

In this paper, we describe the detailed statistical analysis plan (SAP) for the TIPS trial, which was prepared prior to database lock. The SAP includes details of planned analyses and unpopulated tables, which will be reported in the publications. We plan to lock the database in July 2023 and publish the results later in the same year. SAP Version 0.1 (dated: 28 April 2023) Protocol version:2.0 TRIAL REGISTRATION: Clinical Trial Registry of India CTRI/2019/02/017464. Registered on 5 February 2019; https://ctri.nic.in/Clinicaltrials/pmaindet2.php?trialid=29764&EncHid=&userName=2019/02/017464.

Characterizing language production across modalities

ABSTRACTThis study investigates factors influencing lexical access in language production across modalities (signed and oral). Data from deaf and hearing signers were reanalyzed (Baus and Costa, 2015, On the temporal dynamics of sign production: An ERP study in Catalan Sign Language (LSC). Brain Research, 1609(1), 40-53. https://doi.org/10.1016/j.brainres.2015.03.013; Gimeno-Martínez and Baus, 2022, Iconicity in sign language production: Task matters. Neuropsychologia, 167, 108166. https://doi.org/10.1016/j.neuropsychologia.2022.108166) testing the influence of psycholinguistic variables and ERP mean amplitudes on signing and naming latencies. Deaf signers' signing latencies were influenced by sign iconicity in the picture signing task, and by spoken psycholinguistic variables in the word-to-sign translation task. Additionally, ERP amplitudes before response influenced signing but not translation latencies. Hearing signers' latencies, both signing and naming, were influenced by sign iconicity and word frequency, with early ERP amplitudes predicting only naming latencies. These findings highlight general and modality-specific determinants of lexical access in language production.

Exposure to Neighborhood Violence and Gun Carrying Among Adolescents in the United States: Findings From A Population-Based Study

Although studies have investigated and found an association between victimization and weapon carrying, few studies have examined the association between exposure to neighborhood violence (NV) and gun carrying among adolescents. The objective of this study was to examine the cross-sectional association between exposure to NV and gun carrying among adolescents. Data for this study came from the 2021 Youth Risk Behavior Survey. An analytic sample of 17,033 adolescents aged 14 to 18 years old (51.7% male) was analyzed using logistic regression with complementary log-log link function. The outcome variable investigated in this study is gun carrying and was measured as a binary variable, whereas the main explanatory variable examined in this study was exposure to NV, which was also measured as a binary variable. Of the 17,033 adolescents, 4.2% carried a weapon during the past year, and 18.7% were exposed to NV. Controlling for the effects of other factors, adolescents who were exposed to NV had more than double the odds of carrying a gun when compared to their counterparts not exposed to NV (adjusted odds ratio = 2.33, 95% Confidence Intervals [1.69, 3.23]). Other significant factors associated with gun carrying include being a male, non-Hispanic Black, being threatened or injured with a weapon, use of alcohol, cigarette smoking, and misuse of prescription opioids. High parental monitoring was protective against gun carrying. The findings of this study underscore the importance of developing age-appropriate intervention strategies to reduce gun carrying among adolescents. School counselors and other professionals working with adolescents in disadvantaged neighborhoods should actively engage parents in assessments and interventions.

The Effect of Missing Item Data on the Relative Predictive Accuracy of Correctional Risk Assessment Tools

Missing data are pervasive in risk assessment but their impact on predictive accuracy has largely been unexplored. Common techniques for handling missing risk data include summing available items or proration; however, multiple imputation is a more defensible approach that has not been methodically tested against these simpler techniques. We compared the validity of these three missing data techniques across six conditions using STABLE-2007 (N = 4,286) and SARA-V2 (N = 455) assessments from men on community supervision in Canada. Condition 1 was the observed data (low missingness), and Conditions 2 to 6 were generated missing data conditions, whereby 1% to 50% of items per case were randomly deleted in 10% increments. Relative predictive accuracy was unaffected by missing data, and simpler techniques performed just as well as multiple imputation, but summed totals underestimated absolute risk. The current study therefore provides empirical justification for using proration when data are missing within a sample.

What works for whom and why? Treatment effects and their moderators among forcibly displaced people receiving psychological and psychosocial interventions: study protocol for an individual patient data meta-analysis

INTRODUCTION

Forcibly displaced people (FDP) have a high risk of developing mental disorders such as post-traumatic stress (PTS) disorder. Providing adequate mental healthcare for FDP is crucial but despite overall efficacy of many existing interventions, a large proportion of FDP does not benefit from treatment, highlighting the necessity of further investigating factors contributing to individual differences in treatment outcome. Yet, the few studies that have explored moderators of treatment effects are often insufficiently powered. Therefore, the present Individual Patient Data meta-analysis (IPD-MA) will investigate treatment effects and their moderators-variables related to beneficiaries, providers, intervention and study characteristics in relation to PTS outcomes.

METHODS AND ANALYSIS

A systematic literature search will be conducted from database inception in the databases PsycINFO, Cochrane, Embase, PTSDpubs and Web of Science. Only studies published in English, German, French, Spanish, Portuguese, and Dutch will be considered. Retrieved records will be screened for eligibility. Randomised controlled trials on adult FDP receiving psychological and psychosocial interventions aimed at alleviating symptoms such as PTS compared with a control condition without intervention will be included in this IPD-MA. Subsequently, authors of eligible studies will be contacted to request individual patient data (IPD). All datasets obtained will be synthesised into one large dataset which will be analysed using a one-stage approach by conducting mixed-effects linear regression models (ie, primary analysis). Additionally, aggregate data meta-analyes will be run using a two-stage approach by conducting multivariate regression models including all IPD (transformed) and available meta-data from study reports (ie, secondary analysis). PTS will serve as primary outcome measure, while mental health outcomes other than PTS, attendance, attrition, treatment non-response and adverse outcomes will be examined as secondary outcomes.

ETHICS AND DISSEMINATION

This IPD-MA does not require ethical approval. The results will be published in international peer-reviewed journals.

PROSPERO REGISTRATION NUMBER

CRD42022299510.

Measuring patients' experience of nursing quality in acute hospitals: review of existing scales and development and psychometric validation of a new scale

OBJECTIVE

To provide an overview of existing instruments measuring patient-perceived quality of nursing care and to develop and psychometrically evaluate a new multidimensional scale applicable to the German acute care sector.

DESIGN

We conducted a scale development and validation study involving the following phases: (1) performing a structured literature search to identify existing scales, (2) generating an initial pool of items using the results of the literature search and expert interviews, (3) coding/categorising the item pool, (4) organising a peer researcher workshop to select relevant items, (5) drafting the survey questionnaire and conducting cognitive pretesting, (6) pilot testing the survey questionnaire, (7) administering the survey to a large sample of hospital patients and (8) conducting a psychometric evaluation comprising exploratory factor analysis using the survey results, followed by confirmatory factor analysis and reliability and validity assessment of the resulting draft scale.

SURVEY PARTICIPANTS

17 859 recently hospitalised patients discharged from non-intensive care in non-paediatric and non-psychiatric hospital units in Germany between May and October 2019.

RESULTS

We identified 32 instruments comprising 635 items on nursing care quality. Alongside 135 indicators derived from expert interviews, these formed our initial item pool, which we coded into 15 categories. From this pool, 36 items were selected in the peer researcher workshop for pretesting and psychometric evaluation. Based on the results of our exploratory and confirmatory factor analyses, we propose a second-order scale to measure Patients' Experience of Nursing Quality in Acute Hospitals (PENQuAH), including the two higher-order dimensions 'patients' perception of direct nursing care activities' and 'patients' perception of guidance provided by nurses'. The results of various tests suggest the scale has sufficient goodness of fit, reliability and validity.

CONCLUSIONS

The PENQuAH scale is promising in terms of its psychometric properties, the plausibility and meaningfulness of its dimensions, and its ease of use.

Joint Imputation of General Data

High-dimensional complex survey data of general structures (e.g., containing continuous, binary, categorical, and ordinal variables), such as the US Department of Defense's Health-Related Behaviors Survey (HRBS), often confound procedures designed to impute any missing survey data. Imputation by fully conditional specification (FCS) is often considered the state of the art for such datasets due to its generality and flexibility. However, FCS procedures contain a theoretical flaw that is exposed by HRBS data-HRBS imputations created with FCS are shown to diverge across iterations of Markov Chain Monte Carlo. Imputation by joint modeling lacks this flaw; however, current joint modeling procedures are neither general nor flexible enough to handle HRBS data. As such, we introduce an algorithm that efficiently and flexibly applies multiple imputation by joint modeling in data of general structures. This procedure draws imputations from a latent joint multivariate normal model that underpins the generally structured data and models the latent data via a sequence of conditional linear models, the predictors of which can be specified by the user. We perform rigorous evaluations of HRBS imputations created with the new algorithm and show that they are convergent and of high quality. Lastly, simulations verify that the proposed method performs well compared to existing algorithms including FCS.

Black Adolescent Self-Perceptions: The Roles of Ethnic Identity and Stress Exposure

Ethnic identity is associated with various positive outcomes for Black adolescents, but more information is needed about its potential to protect adolescents exposed to stress. Stressful life events predict a range of health outcomes, yet few studies have examined their association with adolescent self-perception. Ethnic identity may serve as protection from stress. This study examines longitudinal data to understand relationships between ethnic identity, stressful life events, and self-perception (i.e., social competence, behavioral conduct, and global self-worth). The sample included 140 adolescents (65% female; 93% Black) with an average age of 12.55 (SD = 0.85). Results indicate stressful life events are associated with behavioral conduct self-perception, and ethnic identity is associated with global self-worth. Ethnic identity behavior and other group orientation are associated with self-perception. Ethnic identity and ethnic identity behavior moderate the relationship between stressful life events and behavioral conduct self-perception. Understanding the connections between adolescent stressors and strengths provides insight into research, practice, and policy directions to promote positive outcomes.

Vocabulary size predicts behavioral problems in emotionally reactive children

Internalizing and externalizing behavioral problems place children at an increased risk for low academic achievement and socioemotional maladjustment. Children's language skills and level of emotional reactivity have been shown to predict behavioral problems later in development. Yet, there is an absence of research investigating vocabulary by negative emotionality interactions with respect to the development of behavioral problems during early childhood. Our study sought to fill this gap by examining whether the relation between preschool (age 3) vocabulary size and internalizing/externalizing problems during the early school years (age 6) is moderated by preschool negative emotional reactivity, even after controlling for preschool behavioral problems as well as children's socioeconomic background. Longitudinal data was collected from 256 typically developing children (129 girls, 75% White) and their mothers (64% held a college degree). Linear regression analyses revealed moderate rank-order stability in children's internalizing and externalizing problems across this period of development. Evidence of an interaction effect emerged in both the internalizing and externalizing problems regression models. That is, age 3 vocabulary was negatively related to age 6 behavioral problems, but only among children exhibiting higher levels of negative emotional reactivity. Our results indicate that early vocabulary acquisition may serve as a buffer against adverse behavioral outcomes in children with a natural propensity toward expressing negative emotions. These findings point to a more nuanced picture of the relations between language, emotional reactivity, and behavioral problems in childhood, which are discussed in greater detail to inform future intervention and educational research.

Studying missingness in spinal cord injury data: challenges and impact of data imputation

BACKGROUND

In the last decades, medical research fields studying rare conditions such as spinal cord injury (SCI) have made extensive efforts to collect large-scale data. However, most analysis methods rely on complete data. This is particularly troublesome when studying clinical data as they are prone to missingness. Often, researchers mitigate this problem by removing patients with missing data from the analyses. Less commonly, imputation methods to infer likely values are applied.

OBJECTIVE

Our objective was to study how handling missing data influences the results reported, taking the example of SCI registries. We aimed to raise awareness on the effects of missing data and provide guidelines to be applied for future research projects, in SCI research and beyond.

METHODS

Using the Sygen clinical trial data (n = 797), we analyzed the impact of the type of variable in which data is missing, the pattern according to which data is missing, and the imputation strategy (e.g. mean imputation, last observation carried forward, multiple imputation).

RESULTS

Our simulations show that mean imputation may lead to results strongly deviating from the underlying expected results. For repeated measures missing at late stages (> = 6 months after injury in this simulation study), carrying the last observation forward seems the preferable option for the imputation. This simulation study could show that a one-size-fit-all imputation strategy falls short in SCI data sets.

CONCLUSIONS

Data-tailored imputation strategies are required (e.g., characterisation of the missingness pattern, last observation carried forward for repeated measures evolving to a plateau over time). Therefore, systematically reporting the extent, kind and decisions made regarding missing data will be essential to improve the interpretation, transparency, and reproducibility of the research presented.

Fatigue recovery and connected factors following paediatric concussion

OBJECTIVE

Using a biopsychosocial framework and the three-factor fatigue model, we aimed to (1) plot recovery of fatigue over the 3 months following paediatric concussion and (2) explore factors associated with persisting fatigue during the first 3 months postconcussion.

METHODS

240 children and adolescents aged 5-18 years (M=11.64, SD=3.16) completed assessments from time of injury to 3 months postinjury. Separate linear mixed effects models were conducted for child and parent ratings on the PedsQL-Multidimensional Fatigue Scale to plot recovery across domains (General, Cognitive, Sleep/Rest) and Total fatigue, from 1 week to 3 months postinjury. Two-block hierarchical regression analyses were then conducted for parent and child ratings of fatigue at each time point, with age, sex and acute symptoms in block 1 and child and parent mental health variables added to block 2.

RESULTS

There was a significant reduction in both child and parent ratings across the 3 months postinjury for all fatigue domains (all p<0.001). For both child and parent fatigue ratings, child mental health was the most significant factor associated with fatigue at all time points. Adding child and parent mental health variables in the second block of the regression substantially increased the variance explained for both child and parent ratings of fatigue.

CONCLUSION

Our findings confirm that fatigue improves during the first 3 months postconcussion and highlights the importance of considering child and parent mental health screening when assessing patients with persisting postconcussive symptoms.

Early adverse childhood experiences and adolescent sleep outcomes

BACKGROUND

Sleep is critical for physical, mental, and emotional health. This may be particularly true for adolescents experiencing rapid physiological changes. Relatively little is known about how adverse childhood experiences (ACEs) are implicated in adolescent experiences with sleep.

OBJECTIVE

We use data (from the Future of Families and Child Wellbeing Study (FFCWS, n = 3444) to assess the relationship between early ACE exposure (by age 5) and various adolescent sleep outcomes. We anticipate that early ACEs will be associated with poor adolescent sleep outcomes.

METHODS

FFCWS data includes survey responses from parents and/or primary caregivers and children at birth and approximately one, three, five, nine, and 15 years later. The FFCWS oversampled unmarried parents with low educational attainment, income, and from marginalized racial-ethnic groups. Models of sleep outcomes included ordinary least squares, Poisson, negative binomial, logistic, and order logistic regression, as appropriate.

RESULTS

Despite a high number of ACEs, adolescent hours of sleep were consistent with published recommendations. Other measures of sleep indicated adolescents in the sample experience worse sleep on most other measures. ACE exposure was associated with difficulty falling asleep and staying asleep. More ACEs was also related with problematic sleep environments (i.e., place slept) and increased snoring. There was some evidence that ACEs were related to less sleep on weekends and increased social jet lag (different patterns of sleep between weekdays and weekends).

CONCLUSIONS

Our findings suggest that ACEs could be important diagnostic data for clinicians in primary care and behavioral sleep medicine practice.

Predicting response to and relapse after treatment of trichotillomania with the Comprehensive Behavioral model (ComB)

Prior studies of behavior therapy for trichotillomania (TTM) have shown that response is variable, and relapse after treatment discontinuation is common. Little information is available concerning prognostic factors capable of predicting individual differences in response or maintenance of improvement. The present study is a secondary analysis of a randomized controlled trial (N = 36) of the Comprehensive Behavioral (ComB) model of treatment for TTM (Carlson et al., 2021). We investigated age, disorder history, pre-treatment symptom severity, longest prior period of abstinence from pulling, and Emotion and Intention hair pulling styles as predictors of initial response. We studied age, disorder history, pre-treatment symptom severity, longest prior period of abstinence from pulling, and post-treatment symptom severity or hair-pulling abstinence as predictors of relapse following treatment. Older age significantly predicted lower TTM severity following treatment. Lower pre-treatment severity significantly predicted lower severity of TTM at the 3-month follow-up.

Effects of a stigma reduction intervention on help-seeking behaviors in university students: A 2019-2021 randomized controlled trial

INTRODUCTION

Stigma is one of the most frequently identified help-seeking barriers, but there is a lack of research on the effects of stigma reduction interventions on actual mental health help-seeking behaviors during crucial academic years. This research explores the effects of stigma on university students' mental health care help-seeking behaviors before and during the pandemic.

METHODS

A randomized control trial spanned from 2019 to 2021 at the University of Porto, along five evaluation moments, with students into one control group and two intervention groups-the interventions aimed to reduce depression stigma.

RESULTS

Among the 702 participants (mean age 18.87, 59.4 % female), the intervention groups significantly increased help-seeking behaviors. In 2020, the intervention groups, having reduced stigma, continued to demonstrate to be more prompt to seek mental health help. In 2021, 22 months, the effects of the intervention on help-seeking were no longer significant; however, participants in the intervention groups showed less severe symptomatology.

CONCLUSION

Stigma reduction interventions have a pronounced effect on enhancing help-seeking behaviors among university students, even during times of crisis. This study advocates for prioritizing stigma reduction in academic settings, highlighting its value in promoting mental health access during crucial academic and life challenges.

Exposure and response prevention versus stress management training for adults and adolescents with obsessive compulsive disorder: A randomized clinical trial

OBJECTIVE

Though exposure and response prevention (ERP) is a well-proven treatment for OCD across the lifespan, prior RCTs have not studied adolescent and adult patients with the same ERP protocol relative to an active comparator that controls for non-specific effects of treatment. This approach assesses differences in the effect of OCD-specific exposures in affected adolescents and adults and in response to ERP compared to a stress-management control therapy (SMT).

METHODS

This assessor-blinded, parallel, 2-arm, randomized, ambulatory clinical superiority trial randomized adolescents (aged 12-18) and adults (24-46) with OCD (N = 126) to 12 weekly sessions of ERP or SMT. OCD severity was measured before, during and after treatment using the child or adult version of the Yale-Brown Obsessive Compulsive Scale (C/Y-BOCS), depending on participant age. We predicted that ERP would produce greater improvement in OCD symptoms than SMT and that there would be no significant post-treatment differences across age groups.

RESULTS

ERP (n = 63) produced significantly greater improvements on C/Y-BOCS scores at post-treatment than SMT (n = 63) (Effect size = -0.72, CI = -0.52 to -0.91, p < .001). ERP also produced more treatment responders (ERP = 86%, SMT = 32%; χ2 = 46.37, p < .001) and remitters than SMT (ERP = 39%, SMT = 7%; χ2 = 16.14, p < .001). Finally, there were no statistically significant post-treatment differences in C/Y-BOCS scores between adolescents and adults assigned to ERP.

CONCLUSION

A single ERP protocol is superior to SMT in treating both adolescents and adults with OCD. OCD-specific therapy is necessary across the lifespan for optimal outcomes in this highly disabling disorder, though non-specific treatments like SMT are still all-too-commonly provided.

CERAD-NAB and flexible battery based neuropsychological differentiation of Alzheimer's dementia and depression using machine learning approaches

Depression (DEP) and dementia of the Alzheimer's type (DAT) represent the most common neuropsychiatric disorders in elderly patients. Accurate differential diagnosis is indispensable to ensure appropriate treatment. However, DEP can yet mimic cognitive symptoms of DAT and patients with DAT often also present with depressive symptoms, impeding correct diagnosis. Machine learning (ML) approaches could eventually improve this discrimination using neuropsychological test data, but evidence is still missing. We therefore employed Support Vector Machine (SVM), Naïve Bayes (NB), Random Forest (RF) and conventional Logistic Regression (LR) to retrospectively predict the diagnoses of 189 elderly patients (68 DEP and 121 DAT) based on either the well-established Consortium to Establish a Registry for Alzheimer's Disease neuropsychological assessment battery (CERAD-NAB) or a flexible battery approach (FLEXBAT). The best performing combination consisted of FLEXBAT and NB, correctly classifying 87.0% of patients as either DAT or DEP. However, all accuracies were similar across algorithms and test batteries (83.0% - 87.0%). Accordingly, our study is the first to show that common ML algorithms with their default parameters can accurately differentiate between patients clinically diagnosed with DAT or DEP using neuropsychological test data, but do not necessarily outperform conventional LR.