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Maternal education was strongly correlated with adolescent brain morphology, cognitive performances, and mental health. However, the molecular basis for the effects of maternal education on the structural neurodevelopment remains unknown. Here, we conducted gene-environment-wide interaction study using the Adolescent Brain Cognitive Development cohort. Seven genomic loci with significant gene-environment interactions (G×E) on regional gray matter volumes were identified, with enriched biological functions related to metabolic process, inflammatory process, and synaptic plasticity. Additionally, genetic overlapping results with behavioral and disease-related phenotypes indicated shared biological mechanism between maternal education modified neurodevelopment and related behavioral traits. Finally, by decomposing the multidimensional components of maternal education, we found that socioeconomic status, rather than family environment, played a more important role in modifying the genetic effects on neurodevelopment. In summary, our study provided analytical evidence for G×E effects regarding adolescent neurodevelopment and explored potential biological mechanisms as well as social mechanisms through which maternal education could modify the genetic effects on regional brain development.

Competing Interests: Declaration of interests Thirteen of the authors (ZA, S-CH, LJ, AM, CO, MO, JP, YP-S, DS, LB-V, MRo, MW, and HW) were compensated for their time while drafting and developing the Lancet Countdown's report. LC was supported by a grant from the National Heart, Lung, and Blood Institute of the National Institutes of Health. CD received funding from the European Research Council (FLORA, grant number 101039402). RD was supported by a grant from the High Tide Foundation and subcontracts on funds from the Wellcome Trust and US Centers for Disease Control and Prevention. GG-S received funding from the UK National Institute for Health and Care Research for the Global Health Research Group on Diet and Activity (NIHR133205, with sub-award contract number G109900-SJ1/171 with the University of Cambridge). SHG's research was supported by the National Research Foundation, Prime Minister's Office, Singapore, under its Campus for Research Excellence and Technological Enterprise programme (grant number NRF2019-THE001-0006). JJH was supported by two grants from the Wellcome Trust and a grant from the US National Science Foundation. RH, RK, and MSo acknowledge funding from Academy of Finland projects HEATCOST (grant 334798) and VFSP-WASE (grant 359421), together with EU Horizon projects FirEUrisk (grant number 101003890) and EXHAUSTION (grant number 820655). OJ was supported by grants from the National Health Medical Research Council (Heat and Health: building resilience to extreme heat in a warming world, GNT1147789); Wellcome Trust (Heat stress in ready-made garment factories in Bangladesh and the Heat inform pregnant study); and Resilience New South Wales (A new heat stress scale for general public); holds a patent for the Environmental Measurement Unit; and has received consulting fees from the National Institutes of Health. HM received funding from the Oak Foundation to support work on climate change through RealZero, is partly funded by the National Institute for Health Research's Comprehensive Biomedical Research Centre at University College London Hospitals, and received fees from Bayer Pharmaceuticals and Chiesl for sustainability consulting. JM-U was supported by grants PID2021-127107NB-I00 from Ministerio de Ciencia e Innovación (Spain) and 2021 SGR 00526 from Generalitat de Catalunya (Spain). JRo's work is supported by the Alexander von Humboldt foundation. RL, JRo, and MRo were supported by Horizon Europe through the IDAlert project (101057554) and UK Research and Innovation (reference number 10056533). RNS reports a contract with Massachusetts General Hospital. MSo and AU were supported by the Finnish Foreign Ministry project IBA-ILMA (grant number VN/13798/2023). MSp was supported by funding from the Wellcome Trust, through Our Planet Our Health (Livestock, Environment and People, award number 205212/Z/16/Z) and a Wellcome Career Development Award (Towards the full cost of diets, award number 225318/Z/22/Z). JDSh was supported by the Canadian Institutes of Health Research, the Commonwealth Fund, and the Emergency Care Research Institute and has received consulting fees from the Institute for Healthcare Research. JT was supported by the Research Council of Finland (T-Winning Spaces 2035 project), the UK Medical Research Council (PICNIC project), and the Finnish Ministry of the Environment (SEASON project). JB is employed as a consultant by the Global Climate and Health Alliance. ML received consulting fees from YarCom for advisory services and was supported by general use gifts awarded to the Center on Global Energy Policy at Columbia University, USA. JMil acknowledges consulting fees from the C40 Climate Leadership Group. CZ-C received a consultancy from the University of Alberta and was supported by contracts with her university (Universidad Peruana Cayetano Heredia), University of Leeds, WHO, and the Wellcome Trust; she was also supported by a letter of agreement between her university and the Food and Agriculture Organization's Indigenous Peoples Unit. MD was supported by the Wellcome Trust via the Complex Urban Systems for Sustainability and Health project (grants 205207/Z/16/Z and 209387/Z/17/Z). IH, S-CH, MRo, CT, and RL were supported by the Horizon Europe CATALYSE project (CATALYSE grant number 101057131, HORIZON-HLTH-2021-ENVHLTH-02, with UK Research and Innovation reference number 10041512). The work of YH, YL, DT, and QZ was supported by the National Aeronautics and Space Administration's Earth Action programme (grant number 80NSSC21K0507). AJP was supported by the Bezos Earth Fund and the Schmidt Family Foundation. ER and SD were supported by a Process-based models for climate impact attribution across sectors (PROCLIAS) grant (COST Action PROCLIAS grant CA19139), funded by European Cooperation in Science and Technology. All other authors declare no competing interests.

Immigrants, and particularly immigrant men, are often stereotyped as untrustworthy in European societies. However, little research has examined how stereotypes of characteristics other than ethnicity might impact natives' perceptions of the trustworthiness of immigrants. Here, I test whether facial attractiveness, a trait associated with a variety of positive stereotypes, might modify ethnic biases in trustworthiness perceptions. I vary facial attractiveness and ethnicity using photo and name stimuli presented in a hypothetical "lost wallet" vignette, in which respondents assess the likelihood of the pictured man returning their lost wallet. Results from an German online panel survey indicate that while attractiveness has a modest positive effect on perceived trustworthiness, the value of attractiveness does not differ between ethnic majority German men and men with a Turkish migration background. Rather, the largest differences in the perceived trustworthiness of Turkish-origin men are found between respondents with inclusionary and exclusionary immigration attitudes, with inclusionary respondents reporting that Turkish-origin vignette persons are more trustworthy than ethnic majority German vignette persons. These results suggest that physical attractiveness does not act as a substantial moderator of ethnic biases in trustworthiness perceptions, but that immigration attitudes are highly relevant., (© 2024. The Author(s).)

Background and Purpose: Investigating the cost-effectiveness of future mobile stroke unit (MSU) services with respect to local idiosyncrasies is essential for enabling large-scale implementation of MSU services. The aim of this study was to assess the cost-effectiveness for varying urban German settings and modes of operation., Methods: Costs of different operating times together with different personnel configurations were simulated. Different possible catchment zones, ischemic stroke incidence, circadian distribution, rates of alternative diagnoses, as well as missed cases were incorporated to model case coverage and patient numbers. Based on internationally reported clinical outcomes of MSUs, a 5-year Markov model was applied to analyze the cost-effectiveness for the different program setups., Results: Compared with standard stroke care, MSUs achieved an additional 0.06 quality-adjusted life years (QALYs) over a 5-year time horizon. Assuming a catchment zone of 750,000 inhabitants and 8 h/7 day operation resulted in an incremental cost-effectiveness ratio (ICER) of €37,182 per QALY from a societal perspective and €45,104 per QALY from a healthcare perspective. Lower ICERs were possible when coverage was expanded to 16 h service on 7 days per week and larger populations. Sensitivity analyses revealed that missing ischemic strokes significantly deteriorated economic performance of MSU., Conclusions: Major determinants of cost-effectiveness should be addressed when setting up novel MSU programs. Catchment zones of more than 500,000-700,000 inhabitants and operating times of at least 12-16 h per day, 7 days per week could enable the most cost-effective MSU services in the German healthcare system., (© 2024 The Author(s). European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.)

Item response tree (IRTree) models form a family of psychometric models that allow researchers to control for multiple response processes, such as different sorts of response styles, in the measurement of latent traits. While IRTree models can capture quantitative individual differences in both the latent traits of interest and the use of response categories, they maintain the basic assumption that the nature and weighting of latent response processes are homogeneous across the entire population of respondents. In the present research, we therefore propose a novel approach for detecting heterogeneity in the parameters of IRTree models across subgroups that engage in different response behavior. The approach uses score-based tests to reveal violations of parameter heterogeneity along extraneous person covariates, and it can be employed as a model-based partitioning algorithm to identify sources of differences in the strength of trait-based responding or other response processes. Simulation studies demonstrate generally accurate Type I error rates and sufficient power for metric, ordinal, and categorical person covariates and for different types of test statistics, with the potential to differentiate between different types of parameter heterogeneity. An empirical application illustrates the use of score-based partitioning in the analysis of latent response processes with real data., (© 2024 The Author(s). British Journal of Mathematical and Statistical Psychology published by John Wiley & Sons Ltd on behalf of British Psychological Society.)

Background: Many palliative cancer patients require inpatient hospital treatment for medical reasons, which contrasts their frequent desire to be at home. Virtual reality (VR) could be a way of bringing the home environment closer to them. First observations have shown benefits from VR for inpatients in palliative care. The aim of this qualitative, descriptive study was to explore the expectations of in-patients suffering from incurable cancer and their relatives about VR, in particular individualized VR images of the patients' own home., Methods: Semi-structured interviews with inpatients suffering from incurable cancers and their relatives in three medical settings (palliative care, hematology, radiotherapy) of a German university hospital. Qualitative content analysis about expected benefits and concerns regarding VR-videos showing their private home; defining the main topics deductively and the subcategories inductively. We also assessed the patients' subjective perspective on their remaining time to live to estimate the impact of double awareness on the results. The Patient Advisory Board informed the study protocol and conduct., Results: We interviewed 15 patients (8 men; age M = 63.4, SD = 11.34; range 39-82) under palliative care, and four relatives. We organized the interview content in 6 themes (general interest, desired content, non-desired content, expected benefits, concerns, and irregularities) and 26 sub-themes. Most patients and relatives were interested in using VR during hospital treatment. They often preferred viewing nature or tourist sites over seeing their home or family. Reasons could be linked to privacy concerns and the general desire for distraction from the current situation that they specified with their expectation of well-being, a break from the patient-experience, the pursue of curiosity, and the VR evoking fond memories., Conclusion: VR seems to be of interest for palliative cancer patients, especially as distraction and relief from their illness. The desired content can be very different, so a choice from a selection of VR-content should be made available. If patients want to see videos of their own home, recordings by relatives instead of study or hospital staff seem to meet the need for privacy., Trial Registration: Registered at Deutsches Register Klinischer Studien; registration number: DRKS00032172; registration date: 11/07/2023. https://drks.de/search/de/trial/DRKS00032172., (© 2024. The Author(s).)

Context in which events are embedded is often hypothesized to serve as an independent cue for retrieval. This means that any effects of context need to obey two basic principles of cue-dependent memory: Memory retrieval should be augmented when, first, encoding context is reinstated and, second, this context uniquely specifies individual items stored in memory. Both of these regularities are well supported for recall tests, but they remain contentious in recognition tests. Here, in three experiments, we assess whether unique and nonunique contexts affect memory processes when reinstated during recognition. However, rather than focusing on measures of recognition performance, we looked at confidence judgments collected during recognition that should be particularly sensitive to recollective effects resulting from context cuing. Experiments 1 and 2, using old/new and forced-choice recognition tests, respectively, documented positive effects of context reinstatement on confidence in correct recognition identifications, but only for contexts uniquely associated with individual items. These effects emerged even when there were no reliable context effects in recognition performance measures. Experiment 3 showed the same effect of context reinstatement, moderated by context load, when spontaneous recognition of a previous study episode occurred during restudy. These results demonstrate the role of context as an independent retrieval cue both in deliberate and spontaneous recognition. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Obesity has adverse consequences for those affected. We tested whether the association between obesity and its adverse consequences is reduced in regions in which obesity is prevalent and whether lower weight bias in high-obese regions can account for this reduction. Studies 1 and 2 used data from the United States ( N = 2,846,132 adults across 2,546 counties) and United Kingdom ( N = 180,615 adults across 380 districts) that assessed obesity's adverse consequences in diverse domains: close relationships, economic outcomes, and health. Both studies revealed that the association between obesity and its adverse consequences is reduced (or absent) in high-obese regions. Study 3 used another large-scale data set ( N = 409,837 across 2,928 U.S. counties) and revealed that lower weight bias in high-obese regions seems to account for (i.e., mediate) the reduction in obesity's adverse consequences. Overall, our findings suggest that obesity's adverse consequences are partly social and, thus, not inevitable.

Objective: Despite abundant information about negative consequences of consuming meat, consumption in many Western countries is many times higher than recommended. One possible explanation for this discrepancy is that people consciously decide to ignore such information-a phenomenon called deliberate ignorance. We investigated this potential barrier for information interventions aiming to reduce meat consumption., Methods: In three studies, a total of 1133 participants had the opportunity to see 18 information chunks on negative consequences of meat consumption or to ignore part of the information. Deliberate ignorance was measured as the number of ignored information chunks. We assessed potential predictors and outcomes of deliberate ignorance. Interventions to reduce deliberate ignorance (i.e., self-affirmation, contemplation, and self-efficacy) were experimentally tested., Results: The more information participants ignored, the less they changed their intention to reduce their meat consumption ( r  = -.124). This effect was partially explained by cognitive dissonance induced by the presented information. While neither self-affirmation nor contemplation exercises reduced deliberate ignorance, self-efficacy exercises did., Conclusion: Deliberate ignorance is a potential barrier for information interventions aiming to reduce meat consumption and needs to be considered in future interventions and research. Self-efficacy exercises are a promising approach to reduce deliberate ignorance and should be further explored.

Background: Nonsuicidal self-injury (NSSI) is highly prevalent in adolescents and young adults worldwide. It is linked to a broad variety of mental disorders and an increased suicide risk. Despite its high prevalence, research on the underlying mechanisms and on potential risk and resilience factors for maintaining or quitting NSSI remains scarce. This manuscript presents an overview of the "Self-injury: Treatment-Assessment-Recovery" (STAR) collaboration, which aimed to address these gaps., Methods: We investigated the natural course of NSSI as well as its social, psychological, and neurobiological predictors (observational study; OS). OS data collection occurred at four timepoints (baseline [T0], 4 [post, T1], 12 [follow-up (FU), T2], and 18 [FU, T3] months after baseline) for the NSSI group, which was compared to a healthy control (HC) group at T0 only. Online self-report was used at all timepoints, while semi-structured interviews (face-to-face (f2f)) were conducted at T0 and T3. At T0 only, we conducted ecological momentary assessment and neurobiological investigations. Here, we present the general methodology and sample characteristics of the completed OS including the f2f subprojects, while other subprojects are not within the scope of this paper., Sample Description: The OS sample consists of 343 participants at T0 (180 NSSI, 163 HC). Mean age in the NSSI group (T0) was 18.1 years (SD = 2.09, range: 15-25), gender-related data is available for 166: 156 = female, 7 = male, 3 = transgender, 10 = not disclosed). In the HC group, mean age (T0) was 19.1 years (SD = 2.35, range: 15-25) (142 = female, 21 = male). At T1, 128 (71.11%) of the NSSI participants completed the questionnaires, at T2 125 (69.44%) and at T3 104 (57.78%). In the fMRI subproject, 126 adolescents participated (NSSI = 66, HC = 60, 100% female; mean age (T0): NSSI = 18.10 years, SD = 2.21; HC = 19.08, SD = 2.36)., Conclusion: Understanding predictors is of utmost importance for adequate diagnosis and intervention for NSSI. Our OS applied a multimodal investigation of social, psychological, and neurobiological parameters and is the largest sample of adolescents with NSSI to date including follow-up assessments. As health care providers require specific knowledge to develop new treatments, we believe that our in-depth assessments can potentially enhance care for youths engaging in NSSI., (© 2024. The Author(s).)

Background: Psychotic symptoms in adolescence are associated with social adversity and genetic risk for schizophrenia. This gene-environment interplay may be mediated by personality, which also develops during adolescence. We hypothesized that (i) personality development predicts later Psychosis Proneness Signs (PPS), and (ii) personality traits mediate the association between genetic risk for schizophrenia, social adversities, and psychosis., Methods: A total of 784 individuals were selected within the IMAGEN cohort (Discovery Sample-DS: 526; Validation Sample-VS: 258); personality was assessed at baseline (13-15 years), follow-up-1 (FU1, 16-17 years), and FU2 (18-20 years). Latent growth curve models served to compute coefficients of individual change across 14 personality variables. A support vector machine algorithm employed these coefficients to predict PPS at FU3 (21-24 years). We computed mediation analyses, including personality-based predictions and self-reported bullying victimization as serial mediators along the pathway between polygenic risk score (PRS) for schizophrenia and FU3 PPS. We replicated the main findings also on 1132 adolescents recruited within the TRAILS cohort., Results: Growth scores in neuroticism and openness predicted PPS with 65.6% balanced accuracy in the DS, and 69.5% in the VS Mediations revealed a significant positive direct effect of PRS on PPS (confidence interval [CI] 0.01-0.15), and an indirect effect, serially mediated by personality-based predictions and victimization (CI 0.006-0.01), replicated in the TRAILS cohort (CI 0.0004-0.004)., Conclusions: Adolescent personality changes may predate future experiences associated with psychosis susceptibility. PPS personality-based predictions mediate the relationship between PRS and victimization toward adult PPS, suggesting that gene-environment correlations proposed for psychosis are partly mediated by personality.

Accurately estimating and assessing real-world quantities (e.g., how long it will take to get to the train station; the calorie content of a meal) is a central skill for adaptive cognition. To date, theoretical and empirical work on the mental resources recruited by real-world estimation has focused primarily on the role of domain knowledge (e.g., knowledge of the metric and distributional properties of objects in a domain). Here we examined the role of basic numeric abilities - specifically, symbolic-number mapping - in real-world estimation. In Experiment 1 ( N = 286 ) and Experiment 2 ( N = 592 ), participants first completed a country-population estimation task (a task domain commonly used to study real-world estimation) and then completed a number-line task (an approach commonly used to measure symbolic-number mapping). In both experiments, participants with better performance in the number-line task made more accurate estimates in the estimation task. Moreover, Experiment 2 showed that performance in the number-line task predicts estimation accuracy independently of domain knowledge. Further, in Experiment 2 the association between estimation accuracy and symbolic-number mapping did not depend on whether the number-line task involved small numbers (up to 1000) or large numbers that matched the range of the numbers in the estimation task (up to 100,000,000). Our results show for the first time that basic numeric abilities contribute to the estimation of real-world quantities. We discuss implications for theories of real-world estimation and for interventions aiming to improve people's ability to estimate real-world quantities., (© 2024. The Author(s).)

Background: Cancer patients benefit from Virtual Reality (VR) in burdensome situations, but evidence is scarce for palliative situations. Based on earlier work in palliative care, individualized VR interventions like seeing the patient's home may address a patient's wish to be at home and thus have a greater effect compared to standard VR content. Yet, some patients and relatives may be concerned about their privacy. Also, patient stakeholders raised concerns about triggering depressed mood or homesickness., Aim: To test the feasibility and safety of individualized vs. standard 360°video VR interventions in palliative cancer inpatients., Methods: Prospective observational study with patient-reported outcome measurement using validated instruments of well-being (MDBF), symptoms and psychosocial burden (IPOS), cybersickness (SSQ), presence experience (SPES), subjective benefit (2 items), content analysis of interviews, and field notes. Individualized VR content was recorded with action camcorder-technology to protect the patients' privacy., Results: Seventeen patients participated, median age 65 years (range 20-82), 9 women (53%), 8 single or widowed (47%), 4 childless (23.5%), 4 academics (23.5%), with a median length of stay of 9 days (1-75) in the hematology (10), palliative care (3), or radiotherapy (2) unit of a German university hospital. Eight patients (53.3%) chose their own home environments or family for individualized VR-content. All participants enjoyed the intervention. Compared to standard VR content the individualized VR tended to have a stronger effect on well-being and emotional touch. It was not inferior in terms of psychosocial burden and cybersickness. No subjective and relevant side effects occurred. The patients well tolerated the assessments. However, most patients demanded a lighter headset and a desire for more interactivity., Conclusions: Individualization of VR content shows potential for enhancement of immersion, which improves the VR experience and does not harm in terms of depressed mood or worsening of symptoms. The patients' and family desire for privacy is feasible with the support of family members who recorded the individualized videos, which is easily manageable today. We suggest a pragmatic randomized clinical trial to compare the effects of individualized vs. standard VR-content., Trial Registration: Registered at German Clinical Trials Register (Deutsches Register Klinischer Studien; DRKS); registration number: DRKS00032172; registration date: 11/07/2023., (© 2024. The Author(s).)

Interpersonal trust is essential for societal well-being, underpinning relationships from individuals to institutions. Neuroscience research on trust has advanced swiftly since 2001. While quantitative reviews, meta-analyses, and theoretical frameworks have effectively synthesized trust neuroscience research, bibliometric analysis remains underutilized. Our bibliometric analysis aimed to provide a comprehensive overview of trust neuroscience's current state and future directions by examining its historical development, key contributors, geographic distribution, methodological paradigms, influential works, thematic trends, and overall impact. This field has been characterized by the input of a few key contributors through international collaboration, with significant contributions from the U.S., China, the Netherlands, and Germany. Research predominantly utilizes the trust game and fMRI, with a rising focus on neural networks, general trust, and differentiating behavioral from attitudinal trust. Integrating insights from psychology, economics, and sociology, this interdisciplinary field holds promise for advancing our understanding of trust through a neurobiological lens. In conclusion, our bibliographic literature review provides valuable insights and guidance for scholars, spotlighting potential avenues for further investigation in this fast-growing field., Competing Interests: Declaration of Competing Interest The authors are unaware of any conflicts of interest, financial or otherwise., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Background: Sarcopenia represents a relevant comorbidity in patients with peripheral artery disease (PAD). However, only few studies exist assessing the clinical burden of sarcopenia in PAD., Methods: All hospitalizations of patients aged ≥75 years who were admitted due to PAD within 2005-2020 in Germany were included in the study and stratified for sarcopenia. Temporal trends and the impact of sarcopenia on treatment procedures as well as adverse in-hospital events were investigated., Results: Overall, 1,166,848 hospitalization cases of patients admitted due to PAD (median age 81.0 [78.0-85.0] years; 49.5% female sex) were included, of which 2,109 (0.2%) were coded with sarcopenia. Prevalence of sarcopenia in these patients increased during the observational period from 0.05% in 2005 to 0.34% in 2020 (β 2.61 [95%CI 2.42-2.80], P < 0.001). Sarcopenic PAD patients were more often female (52.1% vs. 49.5%, P = 0.015), obese (6.6% vs. 5.5%, P = 0.021), and revealed higher prevalences of comorbidities (Charlson comorbidity index, 7.00 [6.00-9.00] vs. 6.00 [5.00-7.00], P < 0.001). Sarcopenia was associated with reduced usage of reperfusion treatments (endovascular intervention: odds ratio (OR) 0.409 [95%CI 0.358-0.466], P < 0.001; surgical revascularization: OR 0.705 [95%CI 0.617-0.805], P < 0.001) but higher conduction of amputation (OR 1.365 [95%CI 1.231-1.514], P < 0.001) and higher rates of major adverse cardiovascular and cerebrovascular events (MACCE) (OR 1.313 [95%CI 1.141-1.512], P < 0.001) and in-hospital death (OR 1.229 [95%CI 1.052-1.436], P = 0.009)., Conclusions: Sarcopenia is an under-recognized condition in PAD patients of high clinical relevance causing a crucial disease burden. Awareness of the ailment needs to be increased in daily clinical practice to identify sarcopenia and improve the clinical outcome of this vulnerable patient group., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)

Structural brain aging has demonstrated strong inter-individual heterogeneity and mirroring patterns with brain development. However, due to the lack of large-scale longitudinal neuroimaging studies, most of the existing research focused on the cross-sectional changes of brain aging. In this investigation, we present a data-driven approach that incorporate both cross-sectional changes and longitudinal trajectories of structural brain aging and identified two brain aging patterns among 37,013 healthy participants from UK Biobank. Participants with accelerated brain aging also demonstrated accelerated biological aging, cognitive decline and increased genetic susceptibilities to major neuropsychiatric disorders. Further, by integrating longitudinal neuroimaging studies from a multi-center adolescent cohort, we validated the 'last in, first out' mirroring hypothesis and identified brain regions with manifested mirroring patterns between brain aging and brain development. Genomic analyses revealed risk loci and genes contributing to accelerated brain aging and delayed brain development, providing molecular basis for elucidating the biological mechanisms underlying brain aging and related disorders., Competing Interests: HD, RS, JK, AB, SD, HF, AG, HG, PG, AH, RB, JM, MM, EA, FN, DP, SH, NN, JF, MS, NV, HW, RW, GS, XL, JF No competing interests declared, TB Dr Banaschewski served in an advisory or consultancy role for eye level, Infectopharm, Lundbeck, Medice, Neurim Pharmaceuticals, Oberberg GmbH, Roche, and Takeda. He received conference support or speaker's fee by Janssen, Medice and Takeda. He received royalities from Hogrefe, Kohlhammer, CIP Medien, Oxford University Press; the presentwork is unrelated to these relationships, CB Reviewing editor, eLife, LP Dr Poustka served in an advisory or consultancy role for Roche and Viforpharm and received speaker's fee by Shire. She received royalties from Hogrefe, Kohlhammer and Schattauer. The present work is unrelated to the above grants and relationships, (© 2024, Duan et al.)

Do people of different socioeconomic status (SES) differ in how they see themselves on the Big Two self-concept dimensions of agency and communion? Existent research relevant to this theoretically and socially important question has generally been indirect: It has relied on distant proxies for agentic and communal self-concepts, narrow operationalizations of SES, comparatively small samples, and data from few nations/world regions. By contrast, the present research directly examines the associations between SES and agentic and communal self-concepts, relies on well-validated measures of agency and communion, examines three complementary measures of SES, and uses data from 6 million people (years of age: M = 26.12, SD = 11.50) across 133 nations. Overall, people of higher status saw themselves as somewhat more agentic and as slightly less (or negligibly less) communal. Crucially, those associations varied considerably across nations. We sought to explain that variation with 11 national characteristics and found only three of them to be robustly relevant: National religiosity and pathogen load curbed status differences in agentic self-concepts, and income inequality amplified status differences in communal self-concepts. Our discussion develops theory to explain the importance of national religiosity, pathogen load, and income inequality for socioeconomic status differences in agentic and communal self-concepts and it also describes the substantial societal implications of those differences. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships, which may be considered as potential competing interests: Georg W. Alpers reports a relationship with Center of Psychological Psychotherapy Mannheim that includes: board membership. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Background: Depression is a major global public health concern, often co-occurring with Non-Suicidal Self-Injury (NSSI). Focused on Depressive adolescents, this study aimed to quantify the importance of factors in predicting NSSI and compare them between the only child and non-only child groups, enriching knowledge to leverage tailored intervention strategies., Methods: A large multicenter survey was conducted in China. 2510 adolescents diagnosed with Major Depressive Disorder (MDD) volunteered for the study. 36 factors were included to train random forest models for NSSI prediction in only child and non-only child groups, respectively. The SHapley Additive exPlanations (SHAP) method was utilized to compute the relative importance of each factor in two groups., Results: Adolescents with MDD exhibited a rather high prevalence of NSSI (52.0 %), among them 66.9 % were non-only children. Self-esteem was the most significant factor for both groups, while critical disparities of factors were also found. In the only child group, factors like family support, parental overprotection, drinking alcohol, sleep conditions and romantic relationship involvement showed greater importance, while higher depression degree, anxiety level and emotional abuse were more important factors for non-only children., Limitations: The use of cross-sectional data from Chinese adolescents may limit deeper analysis of NSSI mechanisms and the generalizability to Western cultures., Conclusions: Only and non-only child family structures may have different influence on factors related with NSSI occurrence of adolescents with MDD. Only children were more susceptible to vulnerable family environments, alcohol abuse and romantic experience, while non-only children were more disturbed by abnormal mental states., Competing Interests: Declaration of competing interest None., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Homophone (HP) priming occurs when phonologically ambiguous words persistently coactivate their contextually irrelevant meanings. If suppressing those meanings fails, they subliminally bias preferences. Yet, it is unclear if prior findings generalize beyond individual words and to bilingual contexts. This has implications for consumer behavior and the debate on differences between first (L1) and second language (L2) lexical processing. We present four multi-item experiments with German-English bilinguals. An initial eye-tracked primed choice task established that homophones affect decision making. Three visual preference experiments with written and/or auditory primes and high- or low-proficiency L2 users found that homophones bias preferences more in L1 than L2. The L1-L2 gap widened if listening or low proficiency made suppression more difficult. We argue that the interplay between reduced suppression in L2 as predicted by activation-suppression models and lower subjective frequency of L2 homophones assumed by the frequency lag hypothesis explain the size of the L1-L2 priming gap. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Although online reviews are used by many people to make decisions, these reviews may be biased. On the basis of 1.2 billion observations across five leading online review platforms and two lab studies (n = 1,172 and n = 1,165; US respondents fluent in English), we provide evidence for a consistent and systematic gender rating gap: women's mean online review ratings are significantly more favourable than men's. We suggest that although men and women, on average, generally do not differ in their 'real' attitudes, their ratings do differ when it comes to online reviews. Our lab studies revealed that such differences are due to gender differences in the propensity to share negative attitudes online, possibly due to women's greater concern about social consequences. Our findings highlight the need for societal change to create conditions in which people, particularly women, feel comfortable publicly expressing genuine attitudes, especially in cases of dissatisfaction, without being concerned about the consequences., (© 2024. The Author(s), under exclusive licence to Springer Nature Limited.)

Source monitoring involves attributing previous experiences (e.g., studied words as items) to their origins (e.g., screen positions as sources). The present study aimed toward a better understanding of temporal aspects of item and source processing. Participants made source decisions for recognized items either in succession (i.e., the standard format) or in separate test blocks providing independent measures of item and source decision speed. Comparable speeds of item and source decision across the test formats would suggest a full separation between item and source processing, whereas different speeds would imply their (partial) temporal overlap. To test these alternatives, we used the drift rate parameter of the diffusion model (Ratcliff, Psychological Review, 85, 59-108, 1978). We examined whether the drift rates, together with the other parameters, assessed separately for the item and source decision varied as a function of the test format. Threshold separation and nondecision time differed between the test formats, but item and source decision speeds represented by drift rates did not change significantly. Thus, despite facilitation on the source decision when the item decision was immediately followed by a test for source memory than when item and source were tested in separate blocks, findings did not suggest that source information already begins accumulating in the item test in the standard format. We discuss the temporal sequence of item and source processing in light of different assumptions about the contribution of familiarity and recollection., (© 2024. The Author(s).)

Social networks are fundamental for social interactions, with the social brain hypothesis positing that the size of the neocortex evolved to meet social demands. However, the role of fractional anisotropy (FA) in white matter (WM) tracts relevant to mentalizing, empathy, and social networks remains unclear. In this study, we investigated the relationships between FA in brain regions associated with social cognition (superior longitudinal fasciculus (SLF), cingulum (CING), uncinate fasciculus, inferior fronto-occipital fasciculus), social network characteristics (diversity, size, complexity), and empathy (cognitive, affective). We employed diffusion tensor imaging, tract-based spatial statistics, and mediation analyses to examine these associations. Our findings revealed that increased social network size was positively correlated with FA in the left SLF. Further, our mediation analysis showed that lower FA in left CING was associated with increased social network size, mediated by cognitive empathy. In summary, our findings suggest that WM tracts involved in social cognition play distinct roles in social network size and empathy, potentially implicating affective brain regions. In conclusion, our findings offer new perspectives on the cognitive mechanisms involved in understanding others' mental states and experiencing empathy within supportive social networks, with potential implications for understanding individual differences in social behavior and mental health., (© 2024. The Psychonomic Society, Inc.)

To improve the validity of self-report measures, researchers should control for response style (RS) effects, which can be achieved with IRTree models. A traditional IRTree model considers a response as a combination of distinct decision-making processes, where the substantive trait affects the decision on response direction, while decisions about choosing the middle category or extreme categories are largely determined by midpoint RS (MRS) and extreme RS (ERS). One limitation of traditional IRTree models is the assumption that all respondents utilize the same set of RS in their response strategies, whereas it can be assumed that the nature and the strength of RS effects can differ between individuals. To address this limitation, we propose a mixture multidimensional IRTree (MM-IRTree) model that detects heterogeneity in response strategies. The MM-IRTree model comprises four latent classes of respondents, each associated with a different set of RS traits in addition to the substantive trait. More specifically, the class-specific response strategies involve (1) only ERS in the "ERS only" class, (2) only MRS in the "MRS only" class, (3) both ERS and MRS in the "2RS" class, and (4) neither ERS nor MRS in the "0RS" class. In a simulation study, we showed that the MM-IRTree model performed well in recovering model parameters and class memberships, whereas the traditional IRTree approach showed poor performance if the population includes a mixture of response strategies. In an application to empirical data, the MM-IRTree model revealed distinct classes with noticeable class sizes, suggesting that respondents indeed utilize different response strategies., Competing Interests: The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s) 2023.)

Item response tree (IRTree) models are a flexible framework to control self-reported trait measurements for response styles. To this end, IRTree models decompose the responses to rating items into sub-decisions, which are assumed to be made on the basis of either the trait being measured or a response style, whereby the effects of such person parameters can be separated from each other. Here we investigate conditions under which the substantive meanings of estimated extreme response style parameters are potentially invalid and do not correspond to the meanings attributed to them, that is, content-unrelated category preferences. Rather, the response style factor may mimic the trait and capture part of the trait-induced variance in item responding, thus impairing the meaningful separation of the person parameters. Such a mimicry effect is manifested in a biased estimation of the covariance of response style and trait, as well as in an overestimation of the response style variance. Both can lead to severely misleading conclusions drawn from IRTree analyses. A series of simulation studies reveals that mimicry effects depend on the distribution of observed responses and that the estimation biases are stronger the more asymmetrically the responses are distributed across the rating scale. It is further demonstrated that extending the commonly used IRTree model with unidimensional sub-decisions by multidimensional parameterizations counteracts mimicry effects and facilitates the meaningful separation of parameters. An empirical example of the Program for International Student Assessment (PISA) background questionnaire illustrates the threat of mimicry effects in real data. The implications of applying IRTree models for empirical research questions are discussed., Competing Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s) 2023.)

The multidimensional forced-choice (MFC) format is an alternative to rating scales in which participants rank items according to how well the items describe them. Currently, little is known about how to detect careless responding in MFC data. The aim of this study was to adapt a number of indices used for rating scales to the MFC format and additionally develop several new indices that are unique to the MFC format. We applied these indices to a data set from an online survey ( N = 1,169) that included a series of personality questionnaires in the MFC format. The correlations among the careless responding indices were somewhat lower than those published for rating scales. Results from a latent profile analysis suggested that the majority of the sample (about 76-84%) did not respond carelessly, although the ones who did were characterized by different levels of careless responding. In a simulation study, we simulated different careless responding patterns and varied the overall proportion of carelessness in the samples. With one exception, the indices worked as intended conceptually. Taken together, the results suggest that careless responding also plays an important role in the MFC format. Recommendations on how it can be addressed are discussed., Competing Interests: The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s) 2024.)

Given the large amount of information that people process daily, it is important to understand memory for the truth and falsity of information. The most prominent theoretical models in this regard are the Cartesian model and the Spinozan model. The former assumes that both "true" and "false" tags may be added to the memory representation of encoded information; the latter assumes that only falsity is tagged. In the present work, we contrasted these two models with an expectation-violation model hypothesizing that truth or falsity tags are assigned when expectations about truth or falsity must be revised in light of new information. An interesting implication of the expectation-violation model is that a context with predominantly false information leads to the tagging of truth whereas a context with predominantly true information leads to the tagging of falsity. To test the three theoretical models against each other, veracity expectations were manipulated between participants by varying the base rates of allegedly true and false advertising claims. Memory for the veracity of these claims was assessed using a model-based analysis. To increase methodological rigor and transparency in the specification of the measurement model, we preregistered, a priori, the details of the model-based analysis test. Despite a large sample size (N = 208), memory for truth and falsity did not differ, regardless of the base rates of true and false claims. The results thus support the Cartesian model and provide evidence against the Spinozan model and the expectation-violation model., (© 2024. The Author(s).)

Maternal perinatal depression (PND) and partnership problems have been identified to influence the development of later child adjustment difficulties. However, PND and partnership problems are closely linked which makes it difficult to draw conclusions about the exact transmission pathways. The aim of the present study was to investigate to what extent PND symptoms and partnership problems influence each other longitudinally and to examine the influence of their trajectories on child adjustment difficulties at the age of three. Analyses were based on publicly available data from the German family panel "pairfam". N = 354 mothers were surveyed on depressive symptoms and partnership problems annually from pregnancy (T0) until child age three (T4). Child adjustment difficulties were assessed at age three. Results of latent change score modeling showed that partnership problems predicted change in PND symptoms at T0 and T3 while PND symptoms did not predict change in partnership problems. Child adjustment difficulties at age three were predicted by PND symptoms, but not by partnership problems. Partnership problems predicted externalizing, but not internalizing symptoms. Results underline the effects of family factors for the development of child adjustment difficulties and emphasize the importance of early interventions from pregnancy onwards.

Communicating the scientific consensus that human-caused climate change is real increases climate change beliefs, worry and support for public action in the United States. In this preregistered experiment, we tested two scientific consensus messages, a classic message on the reality of human-caused climate change and an updated message additionally emphasizing scientific agreement that climate change is a crisis. Across online convenience samples from 27 countries (n = 10,527), the classic message substantially reduces misperceptions (d = 0.47, 95% CI (0.41, 0.52)) and slightly increases climate change beliefs (from d = 0.06, 95% CI (0.01, 0.11) to d = 0.10, 95% CI (0.04, 0.15)) and worry (d = 0.05, 95% CI (-0.01, 0.10)) but not support for public action directly. The updated message is equally effective but provides no added value. Both messages are more effective for audiences with lower message familiarity and higher misperceptions, including those with lower trust in climate scientists and right-leaning ideologies. Overall, scientific consensus messaging is an effective, non-polarizing tool for changing misperceptions, beliefs and worry across different audiences., (© 2024. The Author(s).)

Responding to rating scale items is a multidimensional process, since not only the substantive trait being measured but also additional personal characteristics can affect the respondents' category choices. A flexible model class for analyzing such multidimensional responses are IRTree models, in which rating responses are decomposed into a sequence of sub-decisions. Different response processes can be involved in item responding both sequentially across those sub-decisions and as co-occurring processes within sub-decisions. In the previous literature, modeling co-occurring processes has been exclusively limited to dominance models, where higher trait levels are associated with higher expected scores. However, some response processes may rather follow an ideal point rationale, where the expected score depends on the proximity of a person's trait level to the item's location. Therefore, we propose a new multidimensional IRT model of co-occurring dominance and ideal point processes (DI-MIRT model) as a flexible framework for parameterizing IRTree sub-decisions with multiple dominance processes, multiple ideal point processes, and combinations of both. The DI-MIRT parameterization opens up new application areas for the IRTree model class and allows the specification of a wide range of theoretical assumptions regarding the cognitive processing of item responding. A simulation study shows that IRTree models with DI-MIRT parameterization provide excellent parameter recovery and accurately reflect co-occurring dominance and ideal point processes. In addition, a clear advantage over traditional IRTree models with purely sequential processes is demonstrated. Two application examples from the field of response style analysis highlight the benefits of the general IRTree framework under real-world conditions., (© 2024. The Author(s).)

Adolescents in Germany eat fewer animal products than their parents, often for sustainability reasons. We investigated how adolescents differ from their parents' generation in sustainability food-choice motives, consumption of animal products, and corresponding behaviors such as advocating for and influencing decisions towards more sustainable family meals. In an online questionnaire, an educationally diverse sample of 500 adolescents (M = 17.9 years, range = 15-20) and 500 adults of their parents' generation (M = 52.2 years, range = 45-60) reported food-choice motives, their own and their family's diet style, how they advocate for sustainable food decisions at family meals (e.g., less meat), and how they influence different steps in family meal planning (e.g., grocery shopping). The two generations did not differ in sustainable food motives and mean consumption frequency of meat and animal products, but adolescents reported three times more often than their parents' generation to never eat meat. At shared family meals they advocated for eating plant-based substitutes (d = 0.27, p < 0.001) and other animal products (β = -0.15, p = 0.02) more often than their parents' generation, but not for eating less meat. Adolescents advocated more frequently for sustainable food decisions at shared meals the more important sustainability motives were to them (β = 0.53, p < 0.001), and the less meat (β = -0.35, p < 0.001) and fewer other animal products (β = -0.11, p = 0.015) they consumed. Adolescents motivated towards sustainability have the potential to impact the family's dietary choices through reverse socialization processes. These findings challenge current theories that suggest only parents influence their children, neglecting the role of adolescents as potential agents of change for improved family and planetary health., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Multinomial processing tree (MPT) models are a broad class of statistical models used to test sophisticated psychological theories. The research questions derived from these theories often go beyond simple condition effects on parameters and involve ordinal expectations (e.g., the same-direction effect on the memory parameter is stronger in one experimental condition than another) or disordinal expectations (e.g., the effect reverses in one experimental condition). Here, we argue that by refining common modeling practices, Bayesian hierarchical models are well suited to estimate and test these expectations. Concretely, we show that the default priors proposed in the literature lead to nonsensical predictions for individuals and the population distribution, leading to problems not only in model comparison but also in parameter estimation. Rather than relying on these priors, we argue that MPT modelers should determine priors that are consistent with their theoretical knowledge. In addition, we demonstrate how Bayesian model comparison may be used to test ordinal and disordinal interactions by means of Bayes factors. We apply the techniques discussed to empirical data from Bell et al. Journal of Experimental Psychology: Learning, Memory, and Cognition, 41, 456-472 (2015)., (© 2024. The Author(s).)

Expectations about how others' actions unfold in the future are crucial for our everyday social interactions. The current study examined the development of the use of kinematic cues for action anticipation and prediction in 3-year-olds, 4-year-olds, 10-year-olds, and adults in two experiments. Participants observed a hand repeatedly reaching for either a close or far object. The motor kinematics of the hand varied depending on whether the hand reached for the close or far object. We assessed whether participants would use kinematic cues to visually anticipate (Experiment 1; N=98) and verbally predict (Experiment 2; N=80) which object the hand was going to grasp. We found that only adults, but not 3- to 10-year-olds, based their visual anticipations on kinematic cues (Experiment 1). This speaks against claims that action anticipations are based on simulating others' motor processes and instead provides evidence that anticipations are based on perceptual mechanisms. Interestingly, 10-year-olds used kinematic cues to correctly verbally predict the target object, and 4-year-olds learned to do so over the trials (Experiment 2). Thus, kinematic cues are used earlier in life for explicit action predictions than for visual action anticipations. This adds to a recent debate on whether or not an implicit understanding of others' actions precedes their ability to verbally reason about the same actions., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Resilience to emotional disorders is critical for adolescent mental health, especially following childhood abuse. Yet, brain signatures of resilience remain undetermined due to the differential susceptibility of the brain's emotion processing system to environmental stresses. Analyzing brain's responses to angry faces in a longitudinally large-scale adolescent cohort (IMAGEN), we identified two functional networks related to the orbitofrontal and occipital regions as candidate brain signatures of resilience. In girls, but not boys, higher activation in the orbitofrontal-related network was associated with fewer emotional symptoms following childhood abuse, but only when the polygenic burden for depression was high. This finding defined a genetic-dependent brain (GDB) signature of resilience. Notably, this GDB signature predicted subsequent emotional disorders in late adolescence, extending into early adulthood and generalizable to another independent prospective cohort (ABCD). Our findings underscore the genetic modulation of resilience-brain connections, laying the foundation for enhancing adolescent mental health through resilience promotion., Competing Interests: Declaration of interest Dr Banaschewski served in an advisory or consultancy role for eye level, Infectopharm, Lundbeck, Medice, Neurim Pharmaceuticals, Oberberg GmbH, Roche, and Takeda. He received conference support or speaker’s fee by Janssen, Medice and Takeda. He received royalities from Hogrefe, Kohlhammer, CIP Medien, Oxford University Press; the present work is unrelated to these relationships. Dr Poustka served in an advisory or consultancy role for Roche and Viforpharm and received speaker’s fee by Shire. She received royalties from Hogrefe, Kohlhammer and Schattauer. The present work is unrelated to the above grants and relationships. The other authors report no biomedical financial interests or potential conflicts of interest.

Today's high-choice digital media environments allow citizens to completely refrain from online news exposure and, if they do use news, to select sources that align with their ideological preferences. Yet due to measurement problems and cross-country differences, recent research has been inconclusive regarding the prevalence of ideological self-selection into like-minded online news. We introduce a multi-method design combining the web-browsing histories and survey responses of more than 7000 participants from six major democracies with supervised text classification to separate political from nonpolitical news exposure. We find that political online news exposure is both substantially less prevalent and subject to stronger ideological self-selection than nonpolitical online news exposure, especially in the United States. By highlighting the peculiar role of political news content, the results improve the understanding of online news exposure and the role of digital media in democracy.

Human brain morphology undergoes complex changes over the lifespan. Despite recent progress in tracking brain development via normative models, current knowledge of underlying biological mechanisms is highly limited. We demonstrate that human cortical thickness development and aging trajectories unfold along patterns of molecular and cellular brain organization, traceable from population-level to individual developmental trajectories. During childhood and adolescence, cortex-wide spatial distributions of dopaminergic receptors, inhibitory neurons, glial cell populations, and brain-metabolic features explain up to 50% of the variance associated with a lifespan model of regional cortical thickness trajectories. In contrast, modeled cortical thickness change patterns during adulthood are best explained by cholinergic and glutamatergic neurotransmitter receptor and transporter distributions. These relationships are supported by developmental gene expression trajectories and translate to individual longitudinal data from over 8000 adolescents, explaining up to 59% of developmental change at cohort- and 18% at single-subject level. Integrating neurobiological brain atlases with normative modeling and population neuroimaging provides a biologically meaningful path to understand brain development and aging in living humans., (© 2024. The Author(s).)

Artificial intelligence (AI) promises to transform medicine, but the geographic concentration of AI expertize may hinder its equitable application. We analyze 397,967 AI life science research publications from 2000 to 2022 and 14.5 million associated citations, creating a global atlas that distinguishes productivity (i.e., publications), quality-adjusted productivity (i.e., publications stratified by field-normalized rankings of publishing outlets), and relevance (i.e., citations). While Asia leads in total publications, Northern America and Europe contribute most of the AI research appearing in high-ranking outlets, generating up to 50% more citations than other regions. At the global level, international collaborations produce more impactful research, but have stagnated relative to national research efforts. Our findings suggest that greater integration of global expertize could help AI deliver on its promise and contribute to better global health., (© 2024. The Author(s).)

Neural variability, or variation in brain signals, facilitates dynamic brain responses to ongoing demands. This flexibility is important during development from childhood to young adulthood, a period characterized by rapid changes in experience. However, little is known about how variability in the engagement of recurring brain states changes during development. Such investigations would require the continuous assessment of multiple brain states concurrently. Here, we leverage a new computational framework to study state engagement variability (SEV) during development. A consistent pattern of SEV changing with age was identified across cross-sectional and longitudinal datasets (N>3000). SEV developmental trajectories stabilize around mid-adolescence, with timing varying by sex and brain state. SEV successfully predicts executive function (EF) in youths from an independent dataset. Worse EF is further linked to alterations in SEV development. These converging findings suggest SEV changes over development, allowing individuals to flexibly recruit various brain states to meet evolving needs.

Researchers commonly use analysis of variance (ANOVA) to statistically test results of factorial designs. Performing an a priori power analysis is crucial to ensure that the ANOVA is sufficiently powered, however, it often poses a challenge and can result in large sample sizes, especially if the expected effect size is small. Due to the high prevalence of small effect sizes in psychology, studies are frequently underpowered as it is often economically unfeasible to gather the necessary sample size for adequate Type-II error control. Here, we present a more efficient alternative to the fixed ANOVA, the so-called sequential ANOVA that we implemented in the R package "sprtt." The sequential ANOVA is based on the sequential probability ratio test (SPRT) that uses a likelihood ratio as a test statistic and controls for long-term error rates. SPRTs gather evidence for both the null and the alternative hypothesis and conclude this process when a sufficient amount of evidence has been gathered to accept one of the two hypotheses. Through simulations, we show that the sequential ANOVA is more efficient than the fixed ANOVA and reliably controls long-term error rates. Additionally, robustness analyses revealed that the sequential and fixed ANOVAs exhibit analogous properties when their underlying assumptions are violated. Taken together, our results demonstrate that the sequential ANOVA is an efficient alternative to fixed sample designs for hypothesis testing. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Individual differences in working memory capacity (WMC) are correlated with long-term memory (LTM) differences. Whether this is because high-WMC individuals encode more effectively, resulting in better LTM storage, or because they better retrieve information from LTM is debated. In two experiments, we used Bayesian-hierarchical multinomial modeling to correlate participant-level storage and retrieval processes from LTM recall to WMC abilities estimated from operation and symmetry complex span tasks. In Experiment 1, we presented participants with 20 consecutive words, including semantically associated pairs (e.g., knife and fork), to assess LTM processes. Participants received standard (n = 242) or associative-storage instructions (n = 222) and then completed a free recall task. In Experiment 2, we instructed participants (N = 239) to memorize 40 cue-target words as pairs before completing free and cued recall tasks. Correlations with WMC emerged with storage and retrieval processes and only when an associative storage strategy was instructed (Experiment 1). When associative processing was inherent to the task (Experiment 2), only the associative storage, not the retrieval advantage, replicated. The strategy reports suggest that high-WMC individuals use associative encoding strategies more effectively, resulting in better storage in LTM., (© 2024. The Author(s).)

Substance use, including cigarettes and cannabis, is associated with poorer sustained attention in late adolescence and early adulthood. Previous studies were predominantly cross-sectional or under-powered and could not indicate if impairment in sustained attention was a predictor of substance use or a marker of the inclination to engage in such behavior. This study explored the relationship between sustained attention and substance use across a longitudinal span from ages 14 to 23 in over 1000 participants. Behaviors and brain connectivity associated with diminished sustained attention at age 14 predicted subsequent increases in cannabis and cigarette smoking, establishing sustained attention as a robust biomarker for vulnerability to substance use. Individual differences in network strength relevant to sustained attention were preserved across developmental stages and sustained attention networks generalized to participants in an external dataset. In summary, brain networks of sustained attention are robust, consistent, and able to predict aspects of later substance use., Competing Interests: YW, JK, LR, KR, RB, LF, ES, TN, JH, AS, TF, AB, SD, HF, AG, HG, PG, AH, RB, JM, MM, EA, JM, FN, DP, TP, LP, NH, JF, MS, NV, GS, RW No competing interests declared, TB Served in an advisory or consultancy role for Actelion, Hexal Pharma, Lilly, Lundbeck, Medice, Novartis, Shire. He received conference support or speaker's fee by Lilly, Medice Novartis and Shire. Has been involved in clinical trials conducted by Shire & Viforpharma. Received royalities from Hogrefe, Kohlhammer, CIP Medien, Oxford University Press. The present work is unrelated to the above grants and relationships, HW Received a speaker honorarium from Servier (2014), (© 2024, Weng et al.)

Background: In the last few years, there has been an increasing interest in the development of artificial intelligence (AI)-based clinical decision support systems (CDSS). However, there are barriers to the successful implementation of such systems in practice, including the lack of acceptance of these systems. Participatory approaches aim to involve future users in designing applications such as CDSS to be more acceptable, feasible, and fundamentally more relevant for practice. The development of technologies based on AI, however, challenges the process of user involvement and related methods., Objective: The aim of this review is to summarize and present the main approaches, methods, practices, and specific challenges for participatory research and development of AI-based decision support systems involving clinicians., Methods: This scoping review will follow the Joanna Briggs Institute approach to scoping reviews. The search for eligible studies was conducted in the databases MEDLINE via PubMed; ACM Digital Library; Cumulative Index to Nursing and Allied Health; and PsycInfo. The following search filters, adapted to each database, were used: Period January 01, 2012, to October 31, 2023, English and German studies only, abstract available. The scoping review will include studies that involve the development, piloting, implementation, and evaluation of AI-based CDSS (hybrid and data-driven AI approaches). Clinical staff must be involved in a participatory manner. Data retrieval will be accompanied by a manual gray literature search. Potential publications will then be exported into reference management software, and duplicates will be removed. Afterward, the obtained set of papers will be transferred into a systematic review management tool. All publications will be screened, extracted, and analyzed: title and abstract screening will be carried out by 2 independent reviewers. Disagreements will be resolved by involving a third reviewer. Data will be extracted using a data extraction tool prepared for the study., Results: This scoping review protocol was registered on March 11, 2023, at the Open Science Framework. The full-text screening had already started at that time. Of the 3,118 studies screened by title and abstract, 31 were included in the full-text screening. Data collection and analysis as well as manuscript preparation are planned for the second and third quarter of 2024. The manuscript should be submitted towards the end of 2024., Conclusions: This review will describe the current state of knowledge on participatory development of AI-based decision support systems. The aim is to identify knowledge gaps and provide research impetus. It also aims to provide relevant information for policy makers and practitioners., International Registered Report Identifier (irrid): DERR1-10.2196/58185., (©Tabea Rambach, Patricia Gleim, Sekina Mandelartz, Carolin Heizmann, Christophe Kunze, Philipp Kellmeyer. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 05.09.2024.)

Introduction: In reverse shoulder arthroplasty (RSA) new designs enable greater amounts of lateralization to prevent instability and scapular notching and increase range of motion, however, excessive lateralization leads to stress upon the acromion that can result in scapular spine fatigue fractures. Aim of this study was to gender- and size-specifically assess the influence of glenosphere size and different humeral designs on lateralization, distalization, and bony impingement-free range of motion (ROM) in patients undergoing RSA., Methods: Computed tomography scans from 30 osteoarthritic patients (f:15, m:15) and 20 cuff tear arthropathy patients (f:10, m:10) were used to virtually simulate RSA implantation. The efficacy of an inlay Grammont-type system vs. an onlay lateralizing system combined with different glenosphere sizes (36 mm vs. 42 mm) in achieving ROM, lateralization, and distalization was evaluated. Moreover, gender and patient's constitution were correlated to humeral size by radiologically measuring the best-fit circle of the humeral head., Results: A different amount of relative lateralization was achieved in both genders using large glenospheres and onlay designs. Latter yielded a higher ROM in all planes for men and women with a 42 mm glenosphere; with the 36 mm glenosphere, an increased ROM was observed only in men. The 155° inlay design led to joint medialization only in men, whereas all designs led to lateralization in women. When adjusting the absolute amount of lateralization to humerus' size (or patient's height), regardless of implant type, women received greater relative lateralization using 36 mm glenosphere (inlay: 1%; onlay 12%) than men with 42 mm glenosphere (inlay: -3%; onlay: 8%)., Conclusion: The relative lateralization achieved using onlay design is much higher in women than men. Small glenospheres yield greater relative lateralization in women compared to large glenospheres in men. Humeral lateralization using onlay designs should be used cautiously in women, as they lead to great relative lateralization increasing stress onto the acromion., Level of Evidence: Basic Science Study, Computer Modeling., (© 2024. The Author(s).)

We illustrate how standard psychometric inventories originally designed for assessing noncognitive human traits can be repurposed as diagnostic tools to evaluate analogous traits in large language models (LLMs). We start from the assumption that LLMs, inadvertently yet inevitably, acquire psychological traits (metaphorically speaking) from the vast text corpora on which they are trained. Such corpora contain sediments of the personalities, values, beliefs, and biases of the countless human authors of these texts, which LLMs learn through a complex training process. The traits that LLMs acquire in such a way can potentially influence their behavior, that is, their outputs in downstream tasks and applications in which they are employed, which in turn may have real-world consequences for individuals and social groups. By eliciting LLMs' responses to language-based psychometric inventories, we can bring their traits to light. Psychometric profiling enables researchers to study and compare LLMs in terms of noncognitive characteristics, thereby providing a window into the personalities, values, beliefs, and biases these models exhibit (or mimic). We discuss the history of similar ideas and outline possible psychometric approaches for LLMs. We demonstrate one promising approach, zero-shot classification, for several LLMs and psychometric inventories. We conclude by highlighting open challenges and future avenues of research for AI Psychometrics.

Health expenditure data almost always include extreme values, implying that the underlying distribution has heavy tails. This may result in infinite variances as well as higher-order moments and bias the commonly used least squares methods. To accommodate extreme values, we propose an estimation method that recovers the right tail of health expenditure distributions. It extends the popular two-part model to develop a novel three-part model. We apply the proposed method to claims data from one of the biggest German private health insurers. Our findings show that the estimated age gradient in health care spending differs substantially from the standard least squares method., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)

Changes in family structure (e.g., parental separation or stepfamily formation) are associated with a deterioration in children's well-being. Most researchers have focused on the impact of such changes on children's educational and psychosocial outcomes, whereas the effects on children's biological processes have been studied less often. We analyze the effects of changes in family structure on children's stress levels using data from the German Health Interview and Examination Survey for Children and Adolescents study (2003-2006 and 2014-2017). Our outcome variable is the biomarker c-reactive protein (CRP), which correlates with psychological distress and is collected from blood samples. Calculating first-difference estimators, we analyze whether children have higher CRP levels after changing to (1) single-parent families (n = 117) or (2) stepfamilies (n = 80). Our findings suggest that changing to a single-parent family significantly increases children's stress, whereas changing to a stepfamily does not. These observations are important because increased stress in childhood can negatively affect well-being later in life.

People prefer prototypical stimuli over atypical stimuli. The dominant explanation for this prototype preference effect is that prototypical stimuli are processed more fluently. However, a more recent account proposes that prototypes are more strongly associated with their category's valence, leading to a reversed prototype preference effect for negative categories. One critical but untested assumption of this category-valence account is that no prototype preference should emerge for entirely neutral categories. We tested this prediction by conditioning categories of dot patterns positively, negatively, or neutrally. In line with previous findings on the category-valence account, prototype preference reversed for negatively conditioned categories. However, prototype preference was similarly strong for positive and neutral categories. These findings imply that prototype preferences do not only reflect a transfer of category valence to exemplars. Instead, the results suggest that prototype preference is a multi-process phenomenon arising from the activated category valence and a fluency-based process. We discuss further implications for theories on fluency and prototype preference.

Ambulatory assessment (AA) is becoming an increasingly popular research method in the fields of psychology and life science. Nevertheless, knowledge about the effects that design choices, such as questionnaire length (i.e., number of items per questionnaire), have on AA data quality is still surprisingly restricted. Additionally, response styles (RS), which threaten data quality, have hardly been analyzed in the context of AA. The aim of the current research was to experimentally manipulate questionnaire length and investigate the association between questionnaire length and RS in an AA study. We expected that the group with the longer (82-item) questionnaire would show greater reliance on RS relative to the substantive traits than the group with the shorter (33-item) questionnaire. Students ( n  = 284) received questionnaires three times a day for 14 days. We used a multigroup two-dimensional item response tree model in a multilevel structural equation modeling framework to estimate midpoint and extreme RS in our AA study. We found that the long questionnaire group showed a greater reliance on RS relative to trait-based processes than the short questionnaire group. Although further validation of our findings is necessary, we hope that researchers consider our findings when planning an AA study in the future.

Social media is an increasingly important yet understudied context for eating behaviors in general and veganism in particular. In four studies, we first explored and described the information environment the platform Instagram presents related to veganism. Second, we examined how engaging with this environment is associated with offline eating intentions via psychological mechanisms. We scraped datasets of Instagram posts tagged with #vegan (44,316 posts in total) and employed network analysis with their hashtags (Study 1), as well as clustering with images and sentiment analysis with texts (Study 2). Studies 3 (N = 117) and 4 (N = 251) used online surveys to investigate associations between different forms of engaging with social media content, psychological constructs, and offline eating intentions. Posts about veganism were frequently related to food, health and fitness, cosmetics, and photography. Images most often depicted food (34.7%), non-food products (30.4%), people (7.9%), and animals (2.0%). The sentiment of most posts was positive. Being exposed to Instagram content about veganism was more strongly and consistently associated with eating intentions than active forms of engagement. Attitude and self-identity emerged as the most relevant mechanisms for these effects. Food is the most prominent yet not sole topic among posts about veganism on Instagram, and hashtags used in this context partially relate to motives for following a vegan diet. Exposure to this information environment might influence offline eating decisions via psychological mechanisms. With growing usage and its potential influence, social media should receive increasing attention in (health) psychological research and practice., Competing Interests: Declaration of competing interest None., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)