Richard T Liu, Jessica L Hamilton, Simone Imani Boyd, Melissa J Dreier, Rachel F L Walsh, Ana E Sheehan, Margarid R Turnamian, Anna R C Workman, Saskia L Jorgensen
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Generally strong support was found for psychopathology predicting dependent stress (e.g., ds<sub>Overall psychopathology</sub> = 0.36-0.52, BF₁₀ = 946.00 to 4.65 × 10¹⁸). Moderator analyses for dependent stress revealed larger effects for briefer assessments periods, shorter follow-ups, and self-report measures than for interviews. Among risk factors, depressogenic cognitive styles (ds = .26-.50, BF₁₀ = 47.50 to 1.00 × 10⁵) and general interpersonal vulnerability (ds = .26-.44, BF₁₀ = 2.72 to 2708.00) received the strongest support as stress generation mechanisms, and current evidence is modest for protective factors predicting dependent stress. Overall, larger effects were generally found for prospective prediction of dependent stress than independent stress. Evaluations of mediation in the research literature were relatively few, limiting the current review to qualitative analysis of the mediation component of stress generation. General support was found, however, for dependent stress as a mediator for psychopathology and associated risk factors in relation to subsequent psychopathology. The current review ends with recommendations for future research and integration of stress generation within minority stress frameworks. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":17,"journal":{"name":"ACS Infectious Diseases","volume":null,"pages":null},"PeriodicalIF":4.0000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A systematic review and Bayesian meta-analysis of 30 years of stress generation research: Clinical, psychological, and sociodemographic risk and protective factors for prospective negative life events.\",\"authors\":\"Richard T Liu, Jessica L Hamilton, Simone Imani Boyd, Melissa J Dreier, Rachel F L Walsh, Ana E Sheehan, Margarid R Turnamian, Anna R C Workman, Saskia L Jorgensen\",\"doi\":\"10.1037/bul0000431\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Stress generation posits that (a) individuals at-risk for psychopathology may inadvertently experience higher rates of prospective dependent stress (i.e., stressors that are in part influenced by their thoughts and behaviors) but not independent stress (i.e., stressors occurring outside their influence), and (b) this elevated dependent stress, in some measure, is what places these individuals at-risk for future psychopathology. 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引用次数: 0
摘要
压力生成理论认为:(a) 有精神病理学风险的个体可能会无意中经历较高比例的预期依赖性压力(即部分受其思想和行为影响的压力源),而非独立压力(即在其影响之外出现的压力源);(b) 这种升高的依赖性压力在某种程度上使这些个体处于未来精神病理学的风险之中。鉴于压力产生研究已有 30 年历史,我们采用频数主义和贝叶斯方法进行了系统回顾和荟萃分析(102 篇文章,104 项符合条件的研究,N=31,541)。总体而言,我们发现精神病理学对依赖性压力的预测具有很强的支持作用(例如,dsOverall psychopathology = 0.36-0.52, BF₁₀ = 946.00 to 4.65 × 10¹⁸)。对依赖性压力的调节分析表明,评估时间较短、随访时间较短以及自我报告测量的影响大于访谈。在风险因素中,导致抑郁的认知方式(ds = .26-.50, BF₁₀ = 47.50 to 1.00 × 10⁵)和一般人际脆弱性(ds = .26-.44, BF₁₀ = 2.72 to 2708.00)作为压力产生机制得到了最有力的支持,而目前预测依赖性压力的保护性因素的证据并不多。总体而言,对从属压力的前瞻性预测效果普遍大于对独立压力的预测效果。研究文献中对中介作用的评估相对较少,因此目前的综述仅限于对压力产生的中介作用进行定性分析。不过,研究发现,依赖性压力作为心理病理学和相关风险因素与后续心理病理学之间的中介作用得到了普遍支持。本综述最后对今后的研究和将压力产生纳入少数群体压力框架提出了建议。(PsycInfo Database Record (c) 2024 APA, 版权所有)。
A systematic review and Bayesian meta-analysis of 30 years of stress generation research: Clinical, psychological, and sociodemographic risk and protective factors for prospective negative life events.
Stress generation posits that (a) individuals at-risk for psychopathology may inadvertently experience higher rates of prospective dependent stress (i.e., stressors that are in part influenced by their thoughts and behaviors) but not independent stress (i.e., stressors occurring outside their influence), and (b) this elevated dependent stress, in some measure, is what places these individuals at-risk for future psychopathology. In recognition of 30 years of stress generation research, we conducted a systematic review and meta-analysis using frequentist and Bayesian approaches (102 articles with 104 eligible studies, N = 31,541). Generally strong support was found for psychopathology predicting dependent stress (e.g., dsOverall psychopathology = 0.36-0.52, BF₁₀ = 946.00 to 4.65 × 10¹⁸). Moderator analyses for dependent stress revealed larger effects for briefer assessments periods, shorter follow-ups, and self-report measures than for interviews. Among risk factors, depressogenic cognitive styles (ds = .26-.50, BF₁₀ = 47.50 to 1.00 × 10⁵) and general interpersonal vulnerability (ds = .26-.44, BF₁₀ = 2.72 to 2708.00) received the strongest support as stress generation mechanisms, and current evidence is modest for protective factors predicting dependent stress. Overall, larger effects were generally found for prospective prediction of dependent stress than independent stress. Evaluations of mediation in the research literature were relatively few, limiting the current review to qualitative analysis of the mediation component of stress generation. General support was found, however, for dependent stress as a mediator for psychopathology and associated risk factors in relation to subsequent psychopathology. The current review ends with recommendations for future research and integration of stress generation within minority stress frameworks. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
期刊介绍:
ACS Infectious Diseases will be the first journal to highlight chemistry and its role in this multidisciplinary and collaborative research area. The journal will cover a diverse array of topics including, but not limited to:
* Discovery and development of new antimicrobial agents — identified through target- or phenotypic-based approaches as well as compounds that induce synergy with antimicrobials.
* Characterization and validation of drug target or pathways — use of single target and genome-wide knockdown and knockouts, biochemical studies, structural biology, new technologies to facilitate characterization and prioritization of potential drug targets.
* Mechanism of drug resistance — fundamental research that advances our understanding of resistance; strategies to prevent resistance.
* Mechanisms of action — use of genetic, metabolomic, and activity- and affinity-based protein profiling to elucidate the mechanism of action of clinical and experimental antimicrobial agents.
* Host-pathogen interactions — tools for studying host-pathogen interactions, cellular biochemistry of hosts and pathogens, and molecular interactions of pathogens with host microbiota.
* Small molecule vaccine adjuvants for infectious disease.
* Viral and bacterial biochemistry and molecular biology.