Faculty Bibliography

BACKGROUND:Numerous studies support the association of exercise training, physical activity (PA) and sedentary behaviour (SB) with both mortality and morbidity outcomes. The results across studies have been inconsistent, and no umbrella reviews have yet been conducted on this topic. METHODS:We conducted an umbrella review of meta-analyses of observational studies by screening articles in PubMed/MEDLINE, EMBASE and Web of Science databases from inception to 30 April 2024. Quality appraisal of each included meta-analysis was done using the AMSTAR 2 tool, with evidence certainty evaluated based on statistical significance, study size, heterogeneity, small-study effects, prediction intervals (PI) and potential biases. RESULTS:Frothy-eight meta-analyses were included (AMSTAR 2 ratings: high 25, moderate 10, low 2 and critically low 11). No evidence was highly suggestive or convincing. Suggestive evidence linked any PA and SB to lower and higher risks of all-cause, cardiovascular and cancer mortality. Suggestive evidence indicated a significant association between self-reported and device-measured total PA (equivalent odds ratio [eOR] 0.78 [0.70-0.86] and eHR = 0.50 [0.38-0.65], respectively), self-reported leisure time PA (eHR = 0.73 [0.66-0.80]), device-measured daily steps (eHR = 0.44 [0.35-0.56]) and aerobic plus resistance training (eHR = 0.60 [0.56-0.64]) with lower all-cause mortality. Weak evidence supported links between self-reported and device-measured SB and higher mortality (eHR = 1.3 [1.22-1.38] and eHR = 2.16 [1.09-4.28], respectively). Suggestive evidence was noted for the association between self-reported leisure time PA (eHR = 0.74 [0.69-0.80]) and resistance training (eHR = 0.82 [0.81-0.84]) with cardiovascular mortality. Suggestive evidence was also found for the association between self-reported leisure time PA (eHR = 0.87 [0.83-0.91]) with cancer mortality. Associations between self-reported running time and mortality from all causes, cardiovascular diseases (CVD) and cancer did not reach statistical significance nor did the association between low skeletal muscle mass and all-cause mortality. Meta-regression analyses showed that physical activity reduces mortality risk, with age reducing the protective effects against all-cause, CVD and cancer mortality. We also found that combined exercise training (aerobic plus resistance) most effectively reduces all-cause and CVD mortality. CONCLUSIONS:Converging evidence supports that physical activity and sedentary behaviour are associated with lower and higher rates of all-cause, cardiovascular and cancer mortality. More high-quality prospective studies are needed for a better understanding of the associations between running time and also TV-viewing time and health-related outcomes.

Mass univariate testing on functional connectivity MRI (fcMRI) data is limited by difficulties achieving experiment-wide significance. Recent work addressing this problem has used enrichment analysis, which aggregates univariate screening statistics for a set of variables into a single enrichment statistic. There have been promising results using this method to explore fcMRI-behavior associations. However, there has not yet been a rigorous examination of the statistical properties of enrichment analysis when applied to fcMRI data. Establishing power for fcMRI enrichment analysis will be important for future neuropsychiatric and cognitive neuroscience study designs that plan to include this method. Here, we use realistic simulation methods, which mimic the covariance structure of fcMRI data, to examine the false positive rate and statistical power of one technique for enrichment analysis, over-representation analysis. We find it can attain high power even for moderate effects and sample sizes, and it strongly outperforms univariate analysis. The false positive rate associated with permutation testing is robust.

The use of Attention-Deficit/Hyperactivity Disorder (ADHD) medications during pregnancy is increasing, raising concerns about potential long-term effects on offspring. This study investigates in utero exposure to methylphenidate, amphetamines and atomoxetine and risk of offspring neurodevelopmental disorders (NDDs). The population-based cohort study identified from Swedish registers included 861,650 children born by 572,731 mothers from 2008-2017. We categorized exposure based on redeemed medication during pregnancy and compared exposed children to those whose mothers discontinued medication before conception. Main outcomes were any NDD, including ADHD and autism spectrum disorder (ASD). Cox proportional hazards regression estimated hazard ratios (HRs), adjusting for maternal psychiatric and sociodemographic factors. Sensitivity analyses included stratifications by medication type, timing, and duration of exposure, and sibling comparisons. We also performed a meta-analysis combining data from the present study with those from a previous Danish study. Results showed no increased risk for any NDD (HR_adjusted 0.95, 95% CI 0.82-1.11), ADHD (HR_adjusted 0.92, 95% CI 0.78-1.08), or ASD (HR_adjusted 0.86, 95% CI 0.63-1.18). Sensitivity analyses showed consistent patterns of no increased risks across different exposure durations, medication types and between siblings. Meta-analyses further supported the findings (pooled HR for any NDD 1.00, 95% CI 0.83;1.20). Our study provides evidence that in utero exposure to ADHD medications does not increase the risk of long-term NDDs in offspring. This study replicates safety data for methylphenidate and extends it with new safety data on amphetamines and atomoxetine. These findings are crucial for informing clinical guidelines and helping healthcare providers and expectant mothers make informed decisions.

Growing evidence suggests that infant attention may predict subsequent cognitive outcomes. However, prior studies have predominantly tested small samples of infants in tightly controlled laboratory settings that differ from the complex, visually rich environments that infants experience in their day-to-day lives. The present study addresses this gap by measuring infant sustained attention in the home using novel remote webcam eye tracking methodology. A large, demographically diverse sample of 3- to 12-month-old infants (N = 160; 49% = female; 65% from low- to extremely low-income households; 48% White, 18% Black, 16% Hispanic/Latine, 9% more than one race, 5% Asian, and 4% other) were recruited across the United States. Infants were remotely administered a free-viewing video task previously validated in lab-based studies, and infant look durations and gaze shifts were measured using remote webcam eye tracking. Our results revealed expected age-related changes in infant look durations and no effects of family demographics on variations in infant attention. Notably, we also found that variation in infant attention predicted emerging executive functions in a subset of infants (N = 78) who participated in a subsequent longitudinal assessment using the Early Executive Functions Questionnaire. This research adds to a growing literature validating the use of at-home remote assessments for objective measurement of infant cognition. This is a notable step toward advancing ecological validity and accessibility of developmental psychology studies in diverse samples. Ultimately, these findings may have important implications for characterizing normative developmental trajectories and for understanding how early sociocultural contexts shape these trajectories. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

PURPOSE/OBJECTIVE:To estimate the prevalence and geographic variation of serious mental illness (SMI) among young adults enrolled in Medicaid and to identify individual and community-level factors associated with SMI. METHODS:We used New York Medicaid data for over 1.6 million young adults aged 18-34 years with continuous Medicaid enrollment from April 2021 through March 2022. We merged 3 additional county and zip code-level datasets, including the Distressed Communities Index, Area Health Resource File, and New York homelessness data. We used descriptive analyses, data visualization methods, and multivariable logistic regression to estimate the prevalence of SMI and identify individual- (sex, race and ethnicity, age, disability aid, and homelessness) and community-level (geography, community distress, number of hospital beds, and community mental health centers per capita) factors associated with SMI. RESULTS:The 12-month prevalence of SMI was 8.3% in New York State, with wide geographic variation by zip codes, ranging from 0% to 39%. Young adults identifying as Asian, Black, and Latinx (compared to White), and those living in zip codes with the most community distress were associated with lower odds of SMI, odds ratios (OR) ranged from 0.47 (Asian) (95% confidence interval [CI] [0.46-0.49]) to 0.95 (Latinx) (CI [0.93-0.97]). Young adults identifying as female (compared to male), receiving disability, experiencing homelessness, and rural residence were associated with higher odds of SMI, ORs ranged from 1.64 (female) (95% CI [1.62-1.66]) to 5.49 (homelessness) (95% CI [5.33-5.66]). DISCUSSION/CONCLUSIONS:SMI prevalence varies by individual- and community-level factors, including homelessness and rural residence, signaling the need for specific interventions and policies.

Dialectical thinking represents a cognitive style emphasizing change, contradiction, and holism. Cross-cultural studies reveal a stark contrast of dialectical thinking between East Asian and Western cultures, highlighting East Asians' superior ability to embrace contradictions and foresee transformation, fostering psychological resilience through emotional complexity and tolerance for contradictions. Despite its importance, the neural basis of dialectical thinking remains underexplored. This review synthesizes current neuroscientific findings and introduces the dialectical-integration network (DIN) hypothesis, which identifies key brain regions such as the dorsal anterior cingulate cortex (dACC), medial prefrontal cortex (mPFC), dorsal lateral prefrontal cortex (DLPFC), nucleus accumbens, basal ganglia, and amygdala. These regions, along with networks like the default mode network (DMN) and frontoparietal network (FPN), facilitate holistic reasoning, conflict resolution, and sensory-emotional integration. The psychological benefits of dialectical thinking include enhanced cognitive flexibility, reduced emotional extremes, and improved conflict resolution. This review emphasizes the need for cross-cultural and neuroscientific research to explore the principle of change, a core aspect of dialectical cognition. By bridging cultural psychology and cognitive neuroscience, this work offers theoretical and methodological insights into culturally shaped cognitive styles, with practical applications in education, mental health, and intercultural communication. The DIN model provides a framework for future research on dynamic neural interactions supporting dialectical thinking.

IMPORTANCE/UNASSIGNED:Expectancy effects are significant confounding factors in psychiatric randomized clinical trials (RCTs), potentially affecting the interpretation of study results. This narrative review is the first, to our knowledge, to explore the relationship between expectancy effects, compromised blinding integrity, and the effects of active treatment/placebo in psychiatric RCTs. Additionally, we present statistical and experimental approaches that may help mitigate the confounding impact of expectancy effects. The review concludes with recommendations to enhance the reliability of RCTs in psychiatry. OBSERVATIONS/UNASSIGNED:The placebo response comprises both specific and nonspecific elements, with expectation being a key specific component. Evidence from experimental and clinical studies suggests that expectancy can influence treatment responses in RCTs. Blinding integrity may be compromised by perceived treatment efficacy and adverse effects, introducing bias into outcome assessments. Treatment expectations can lead to unblinding during RCTs, and meta-analytic data from studies in the fields of psychedelics and anxiety disorders indicate that this can influence effect sizes. Therefore, controlling for expectancy effects is essential when interpreting RCT results. Novel statistical methods, though still in need of further validation, offer strategies to address this issue. Another approach may involve experimental medicine models, which aim to develop objective improvement markers (readouts) less affected by expectancy effects. CONCLUSIONS AND RELEVANCE/UNASSIGNED:Expectancy effects represent a significant confound in psychiatric RCTs. We recommend collecting data on treatment expectations alongside monitoring blinding integrity to more accurately interpret study results. Additionally, developing objective readouts that are less confounded by expectancy effects offers another promising avenue for mitigating these confounding influences in psychiatric RCTs.

Both psychotherapeutic interventions and pharmacological agents have demonstrated limited efficacy in the treatment of personality disorders (PDs). Emerging evidence suggests that psychedelic therapy, already showing promise in treating various psychiatric conditions commonly comorbid with PDs, may exert therapeutic effects by promoting adaptive changes in personality. Thus, psychedelic therapy could hold potential for addressing core features of PDs through shared mechanisms of personality modulation. Although historical literature and observational studies suggest the potential clinical utility of psychedelics in treating PDs, rigorous research is lacking, and individuals with PDs are often excluded from modern psychedelic therapy trials. In the present review, we first discuss research on the effects of psychedelics in individuals with a PD through the conventional lens of the Diagnostic and Statistical Manual of Mental Disorders (5th ed., text rev.; DSM-5-TR) categorical model. Next, using the dimensional DSM Alternative Model of Personality Disorders (DSM-AMPD) as a framework, we examine how psychedelics may affect self-functioning, interpersonal functioning, and pathological personality traits. We conclude by discussing the clinical relevance of psychedelic therapy as a treatment for personality pathology, including safety considerations, gaps and limitations, and recommendations for approaching psychedelic therapy within these more complex clinical populations.

BACKGROUND:It is unknown whether there is a general factor that accounts for the propensity for both physical and mental conditions in different age groups and how it is associated with lifestyle and well-being. METHODS:factor, lifestyles, and well-being was further explored. RESULTS:factor scores significantly correlated with lifestyle and well-being, suggesting healthier lifestyles were associated with a reduced likelihood of physical and mental health comorbidities, which in turn improved well-being. CONCLUSIONS:Contrary to the traditional dichotomy between mental and physical conditions, our study showed a general factor underlying the comorbidity across mental and physical diseases, related to lifestyle and well-being. Our results inform the conceptualization of mental and physical illness as well as future research assessing risk and pathways of disease transmission, intervention, and prevention. Our results also provide a strong rationale for a systematic screening for mental disorders in individuals with physical conditions and vice versa, and for integrated services addressing multimorbidity.