PSYCHOLOGICAL BULLETIN心理学公报
PSYCHOLOGICAL BULLETIN(英文缩写 PSYCHOL BULL),ISSN 0033-2909,eISSN 1939-1455,中文译名:心理学公报 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-11-01 至 2026-10-31，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 23.027 | Q1 |
| 2022 | 22.400 | Q1 |
| 2023 | 17.300 | Q1 |
| 2024 | 19.800 | Q1 |
| 2025 | 19.900 | Q1 |
PSYCHOLOGICAL BULLETIN 最新收录文献
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1. A social cascades model of addiction: Examining effects of psychological interventions on social and substance use outcomes via meta-analytic review.
1. 成瘾的社会级联模型：通过元分析综述检验心理干预对社会和物质使用结果的影响PMID:日期:2026-09-14Addiction has long been observed to manifest in social landscapes characterized by high levels of dysfunction, including interpersonal conflict, low social support, and a high density of substance-using peers. Two lines of work have emerged to understand these correlations-one examining how social environments might foster addiction and the other centered primarily around the detrimental effects of substance use on social life. Here, we test a novel cascades model positing bidirectional relationships between individuals' social environments and substance use, integrating theory from basic behavioral research with methods from intervention science. We explore both social and substance use outcomes derived from randomized intervention trials for participants with substance problems ( = 79 trials; = 13,946 patients). Results indicate modest improvements in social outcomes from substance use intervention, = 0.15 [0.08, 0.22]. Results further indicated that social and substance use outcomes were correlated at multiple levels, with intervention-related improvements in social outcomes temporally preceding improvements in substance use symptoms, = 0.33, = .007, and vice versa, = 0.39, < .001. Finally, targeted comparisons isolating effects of social versus substance use intervention components provided partial support for the cascades model, with significant cross-domain effects emerging selectively in models isolating social elements of randomized interventions, = 0.12 [0.02, 0.22], and models further indicating superiority for therapies involving close social ties (e.g., family), = 0.23 [0.05, 0.40]. In sum, results move toward an integrative view of social processes in relation to precursors and consequences of substance use, with potential implications for methodology, theory, and intervention. (PsycInfo Database Record (c) 2026 APA, all rights reserved).
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2. Do money and time change who you are? A continuous time meta-analysis and review of reciprocal relationships between personality traits and income.
2. 金钱和时间会改变你的本质吗？人格特质与收入之间双向关系的连续时间元分析与综述PMID:日期:2026-07-16Recent research in personality science has highlighted influences of life experiences on personality trait development. Yet, the line of inquiry on how work experiences shape personality development has generally yielded mixed findings. Furthermore, prior work has yet to more systematically examine the role of time in shaping the influences of work experiences, to more appropriately tease apart within- and between-person effects, and to simultaneously model both the selection effect of personality and the socialization effect of work experiences at the within-person level. We conducted a preregistered continuous time meta-analysis of longitudinal studies ( = 11 large-scale archival studies, ≈ 134,515) to investigate how income-one crucial form of work experience reflecting how people successfully fulfill work responsibilities to achieve high social status-influences employees' development of the Big Five personality traits at the within-person level. We simultaneously examined the selection effect of personality. We found, on average, positive lagged influences of income on subsequent changes of emotional stability and conscientiousness, and the influence on extraversion was generally negative. The lagged influences of conscientiousness and emotional stability on subsequent income changes were generally positive, and the influence was negative for extraversion, suggesting reciprocal relationships. The magnitude of the influences varied over time in an inverted U-shaped fashion with certain levels of between-study heterogeneity. As a more stringent test of the social investment and corresponsive principles, the findings provide more support to the Neo-Socioanalytic Model than the Five Factor Model. Our research showcases the importance of greater cross-fertilization among different areas of psychology for advancing research on personality development in the workplace. (PsycInfo Database Record (c) 2026 APA, all rights reserved).
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3. Does the variance of personality traits change across the lifespan? A meta-analytic review of longitudinal studies.
PMID:日期:2026-07-06Although personality traits are relatively stable compared to other constructs, comprehensive meta-analyses have shown that the mean levels and rank orders of personality traits change throughout the lifespan. In contrast, relatively little is known about whether and how the variance of personality traits develops with age. Examining changes in personality trait variance is, however, critical to contextualize knowledge on mean-level changes, to identify disruptive life phases, to evaluate changes in the predictive utility of personality traits, and to advance personality development theories. The present meta-analysis thus integrated research from 362 longitudinal studies ( = 398,124) to identify changes in personality trait variance across time and age. We found remarkable stability of personality variance for all traits, indicating that, at the population level, people neither get more different nor more alike across the lifespan. The only deviations from this pattern were variance increases in neuroticism during late childhood and early adolescence (5-14 years) and variance decreases in extraversion during middle and late adulthood (45-80 years). Notably, though, effect sizes differed substantially across studies and measures. Our results provide novel insights into the lifespan development of personality traits that can be used to advance theoretical frameworks and inform practical applications. Furthermore, by providing benchmark values for the comparison of effect size estimates of future studies (https://personalityresearch.shinyapps.io/VarianceChange/), we aim to facilitate more systematic and cumulative research on variance changes in psychological traits. (PsycInfo Database Record (c) 2026 APA, all rights reserved).
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4. Individual differences in personality trait changes across the lifespan: A meta-analysis of longitudinal studies.
4. 人格特质在整个生命周期中变化的个体差异：纵向研究的元分析PMID:日期:2026-04Recent meta-analyses and large-scale longitudinal studies have shown that the mean levels and rank orders of personality traits change throughout the lifespan. However, people differ from each other in their patterns of personality development. These individual differences in personality trait changes provide important insights into the sources and course of personality development. The present meta-analysis quantified the magnitude of individual differences in personality trait changes and their fluctuation across time lags and age by integrating findings from 229 longitudinal studies (N = 230,492). Results indicated significant individual differences in change in all traits, with neuroticism showing the most pronounced differences and openness and agreeableness the least. Charting effects across the lifespan, individual differences in change were most pronounced in childhood, decreased during young adulthood, but were significant across the entire lifespan. The age at which individual differences in change were smallest varied across traits, from ages 30 to 75. Finally, individual differences in personality trait changes were larger over longer assessment intervals, for facet-level traits, and among measures that were not designed to examine the Big Five taxonomy. Our findings support theoretical claims that highlight the relevance of genetic and environmental sources of personality development and suggest that individual differences in change endure, challenging the predictions of set-point models of personality development. Moreover, our results provide benchmarks for individual differences in change that can be used to compare the magnitude of differential personality development in future research. (PsycInfo Database Record (c) 2026 APA, all rights reserved).
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5. Tackling challenges in large language model-based data extraction via context engineering: A commentary on Jansen et al. (2025).
PMID:日期:2026-04Systematic reviews, particularly meta-analyses, involve crucial yet labor-intensive and error-prone stages of data extraction. Recent advances in large language models (LLMs) have unlocked new avenues for automating this process, potentially enhancing both efficiency and reliability. Recently, Jansen et al. (2025) systematically evaluated the accuracy and error patterns of LLM-assisted data extraction across 22 reviews published in . Their findings indicated that while achieving acceptable-to-good accuracy for some variables describing study characteristics, LLMs struggled with numerical variables, especially those related to effect sizes. In this commentary, we discuss the current challenges of automated data extraction and potential pathways to improve the work reported in Jansen et al.'s study. We situate our discussion within the framework of context engineering, aiming to refine the information provided to LLMs through dynamic optimization strategies tailored to specific tasks. We identify five key challenges that reflect either LLMs' unique patterns or standard practices in research synthesis: parsing semistructured data, understanding long contexts, performing arithmetic induction, engaging in complex reasoning, and ensuring the reproducibility of coding protocols. We then outline potential solutions inspired by context engineering implementations such as retrieval-augmented generation and tool-integrated reasoning. For illustration, we present four examples: extracting semistructured data via optical character recognition, reliably computing effect sizes through function calls, performing adaptive retrieval with LLM-based agents, and iteratively improving outputs through self-refinement. We conclude by calling for future research in automated data extraction to advance beyond simple instruction-following paradigms toward more reliable forms of context engineering. (PsycInfo Database Record (c) 2026 APA, all rights reserved).
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6. Universal interventions to improve young children's mental well-being: A systematic review and meta-analysis.
6. 改善幼儿心理健康的普遍性干预措施：一项系统综述与荟萃分析PMID:日期:2026-04This meta-analytic review quantified the effects of universal interventions, those implemented with all children, on improving mental well-being in young children aged 0-6 years old. Potential factors that moderated the effects of interventions were explored. A systematic search of PubMed, Cumulative Index to Nursing and Allied Health Literature (Elton B. Stephens Company), APA PsycInfo (ProQuest), and grey literature identified 21,942 records. After screening, 134 articles reporting 133 studies and 141 interventions among 32,512 participants met eligibility criteria. Meta-analyses were conducted, using random-effects models and cluster-robust variance estimation to account for within-study dependence and to compute pooled Hedges' g. Mean effects at postintervention were small-to-medium on overall mental well-being (g = 0.35) across cognitive (g = 0.35), social (g = 0.36), emotional (g = 0.38), and behavioral (g = 0.31) domains. Sensitivity analyses (e.g., excluding high-risk and low-reliability studies) produced similar results. Follow-up effects adjusted for baseline were 0.22, and the maintenance of effects from postintervention to follow-up was only 0.04. Exploratory moderator analyses revealed three significant moderators, including study design, control group, and intervention target. Child-focused interventions yielded the largest effects, exceeding those targeting family and child, the occupational role (e.g., teachers), or family member only. Though these results support some promises of universal interventions for enhancing early mental well-being, interpretation warrants caution. Between-study heterogeneity was substantial, some studies exhibited a high risk of bias, and publication bias was present. Future research should prioritize rigorous designs with follow-up assessments and booster strategies to support maintenance and include implementation-relevant outcomes (e.g., fidelity), while adhering to transparent reporting. (PsycInfo Database Record (c) 2026 APA, all rights reserved).
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7. How spatial skills relate to science achievement: A meta-analytic review.
7. 空间技能如何与科学成就相关：一项元分析综述PMID:日期:2026-04Although extensive research demonstrates positive links between spatial skills and science achievement, the size and nature of this relation is unknown. Questions regarding whether the relation varies based on educational level and gender, across different spatial tasks and science domains, and if it persists over time remain. Additionally, the extent to which this link stands after accounting for related skill sets, specifically mathematical and verbal skills, presents another important question. We conducted a meta-analysis with the following aims: (a) to identify the overall correlation between spatial skills and science achievement; (b) to examine the extent to which the spatial-science relation is moderated by gender, educational level, type of spatial skill assessed, domain of science, and time between assessments; and (c) to determine the strength of the association after accounting for mathematical and verbal skills. Our analysis focused on samples from kindergarten to undergraduates and included a total of 94 article reports (total averaged N = 14,851.59). Results revealed a moderate positive association between spatial skills and science achievement (r = .27, τ = .12) that did not vary by gender, educational level, science domain, or time between assessments. That said, the relation did vary by type of spatial skill. Additionally, spatial skills were significantly associated with science achievement, even when mathematical and verbal skills were included as simultaneous predictors. These findings suggest that spatial skills may represent a promising target for supporting science learning outcomes. (PsycInfo Database Record (c) 2026 APA, all rights reserved).
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8. Misogynous messages in the media increase hostility to women: Evidence from a meta-analysis of 257 experimental and nonexperimental studies.
PMID:日期:2026-03-19Media often portray women in misogynous, discriminatory, and negative ways. By considering different types of misogynous media content and hostile responses to women, this meta-analysis of experimental and nonexperimental studies examined the relation between exposure to misogynous media content and hostility to women. The meta-analytic review included 257 eligible studies published across 47 years and encompassed 132,933 participants, thereby yielding 1,421 effect sizes. Analyses used robust variance estimation to examine the relationship between misogynous media exposure and hostility. On average, such exposure was associated with greater hostility to women ( = 0.26, 95% confidence interval, CI [.21, .30]), in both experimental ( = 0.28, 95% CI [.22, .35]) and nonexperimental ( = 0.24, 95% CI [.18, .29]) studies. Notably, exposure to misogynous media content affected both women and men, although the effect tended to be stronger among men ( = 0.27) than women ( = 0.20). The 95% prediction interval for the overall effect ranged from -0.52 to 1.04, indicating large heterogeneity. In fact, violent content easily recognized as antiwomen resulted in greater hostility among men ( = 0.38) but not women ( = 0.03), whereas humiliating ( = 0.29) and pornographic ( = 0.21) content yielded similarly hostile responses in women and men. In addition, adolescent participants were more influenced ( = 0.32) than participants in their midlate adulthood ( = 0.17), but they did not differ from those in their early adulthood ( = 0.27). Overall, this research showed that misogynous media content elicits demeaning attitudes and hostile behaviors directed toward women, thereby perpetuating the gender hierarchy defined by women's lower status in society. (PsycInfo Database Record (c) 2026 APA, all rights reserved).
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9. Effort-based decision making in psychopathology: A transdiagnostic multilevel meta-analysis and systematic review of behavioral patterns and mechanisms underlying amotivational psychopathology.
PMID:日期:2026-03-05Effort-based decision making (EBDM) is fundamental to motivation. This cognitive process weighs the effort required to obtain a reward against its magnitude and the probability of obtaining it. Research suggests both transdiagnostic and disorder-specific patterns and mechanisms of EBDM in individuals with schizophrenia spectrum disorders, major depressive disorder, bipolar disorder, and those at risk for these conditions. This preregistered meta-analysis (CRD42022344605) aimed to quantify EBDM across these conditions compared to healthy controls and examine mechanisms underlying altered effort allocation. PubMed, APA PsycInfo, Embase, and Web of Science databases were systematically searched for eligible studies. We synthesized 115 effect sizes from 68 studies ( = 3,697). Three-level random-effects meta-analyses revealed moderate deficits in EBDM across schizophrenia spectrum disorders ( = -0.40) and bipolar disorder ( = -0.39), a smaller impairment in major depressive disorder ( = -0.28), and no significant reductions in at-risk samples ( = -0.01). Altered effort allocation patterns were marked by reduced effort exertion across increasing reward and probability conditions, with schizophrenia spectrum disorders showing the most pronounced deficits. The most robust moderators were the number of probability conditions, ethnicity, gender, and the severity of positive and negative symptoms. A narrative synthesis of computational modeling studies indicated that maladaptive EBDM may reflect increased effort sensitivity, reduced reward sensitivity, and cognitive impairment, with variations across disorders. Whereas schizophrenia spectrum disorders are associated with unsystematic effort allocation and cognitive deficits, major depressive disorder and bipolar disorder show heightened effort sensitivity. Overall, findings point to both shared and disorder-specific mechanisms of EBDM, offering directions for targeted interventions. (PsycInfo Database Record (c) 2026 APA, all rights reserved).
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10. Artificial intelligence as a partner in meta-analysis-Research agenda, user recommendations, and speed-accuracy tradeoffs: Commentary on Jansen et al. (2025).
PMID:日期:2026-03Using a metascience framework for improving meta-analyses, Jansen et al. (2025) tested the accuracy and efficiency of data extraction from primary studies used in meta-analyses with a range of large language models. Efficiency was impressive: Across thousands of studies and hundreds of variables, eight large language models took less than an hour combined to extract hundreds of thousands of data points-work estimated to take a human coder >6,500 hr. Nevertheless, accuracy was inconsistent, ranging from high to low depending on the variable. From these results, Jansen et al. recommended (a) a research agenda for investigating the use of artificial intelligence (AI) for data extraction and (b) methods for using AI as a partner for data extraction when conducting systematic reviews. This commentary expands on recommendations for the research agenda, such as investigating AI-induced bias, the illusion of exploratory depth, and using AI to extract study quality data. This commentary also offers further considerations regarding using AI as a meta-analysis partner, such as how iterative prompts might reduce coding independence. Finally, the commentary discusses speed-accuracy tradeoffs in meta-analyses. (PsycInfo Database Record (c) 2026 APA, all rights reserved).