Spike W S Lee, Kathleen Chen, Cecilia Ma, Joe Hoang
{"title":"Wipe it off: A meta-analytic review of the psychological consequences and antecedents of physical cleansing.","authors":"Spike W S Lee, Kathleen Chen, Cecilia Ma, Joe Hoang","doi":"10.1037/bul0000421","DOIUrl":null,"url":null,"abstract":"<p><p>Physical cleansing is a human universal. It serves health and survival functions. It also carries rich psychological meanings that interest scholars across disciplines. What psychological effects result from cleansing? What psychological states trigger cleansing? The present meta-analysis takes stock of all experimental studies examining the psychological consequences and antecedents of cleansing-related thoughts, feelings, and behaviors (e.g., feeling less guilty after cleansing; spontaneously cleansing oneself after thinking of unwelcomed sexual encounter). It includes 129 records, 230 experiments, and 551 effects from 42,793 participants. Effect sizes were synthesized in random-effects models using robust variance estimates with small-sample corrections, supplemented by other techniques. Outliers were excluded using leave-one-out diagnostics and sensitivity analysis. Publication bias was assessed and corrected for using eight methods. Theoretical, methodological, sample, and report moderators were coded. After excluding outliers, without bias correction, the synthesized effect size estimate was <i>g</i> = 0.315, 95% CI [0.277, 0.354]. Using various bias correction methods, the estimate ranged from <i>g</i> = 0.103 to 0.331 and always exhibited considerable heterogeneity. Effect sizes were especially large for behavioral measures and varied significantly between sample types, sample regions, and report types. Meanwhile, effects were domain-general (observed in the moral domain and beyond), bidirectional (physical cleansing ↔ psychological variables), and robust across theoretical types, manipulation operationalizations, and study designs. Limitations included mixed replicability, suboptimal methodological rigor, and restricted sample diversity. We recommend future studies to (a) incorporate power analysis, preregistration, and replication; (b) investigate generalizability across samples; (c) strengthen discriminant validity; and (d) test competing theoretical accounts. (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":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Infectious Diseases","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1037/bul0000421","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/2/15 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
引用次数: 0
Abstract
Physical cleansing is a human universal. It serves health and survival functions. It also carries rich psychological meanings that interest scholars across disciplines. What psychological effects result from cleansing? What psychological states trigger cleansing? The present meta-analysis takes stock of all experimental studies examining the psychological consequences and antecedents of cleansing-related thoughts, feelings, and behaviors (e.g., feeling less guilty after cleansing; spontaneously cleansing oneself after thinking of unwelcomed sexual encounter). It includes 129 records, 230 experiments, and 551 effects from 42,793 participants. Effect sizes were synthesized in random-effects models using robust variance estimates with small-sample corrections, supplemented by other techniques. Outliers were excluded using leave-one-out diagnostics and sensitivity analysis. Publication bias was assessed and corrected for using eight methods. Theoretical, methodological, sample, and report moderators were coded. After excluding outliers, without bias correction, the synthesized effect size estimate was g = 0.315, 95% CI [0.277, 0.354]. Using various bias correction methods, the estimate ranged from g = 0.103 to 0.331 and always exhibited considerable heterogeneity. Effect sizes were especially large for behavioral measures and varied significantly between sample types, sample regions, and report types. Meanwhile, effects were domain-general (observed in the moral domain and beyond), bidirectional (physical cleansing ↔ psychological variables), and robust across theoretical types, manipulation operationalizations, and study designs. Limitations included mixed replicability, suboptimal methodological rigor, and restricted sample diversity. We recommend future studies to (a) incorporate power analysis, preregistration, and replication; (b) investigate generalizability across samples; (c) strengthen discriminant validity; and (d) test competing theoretical accounts. (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.