Yannik Stegmann , Mario Reutter , Katharina Hutterer , Lea Hildebrandt , Jürgen Deckert , Lorenz Deserno , Katharina Domschke , Tina B. Lonsdorf , Paul Pauli , Andreas Reif , Karoline Rosenkranz , Miriam A. Schiele , Dirk Schümann , Peter Zwanzger , Marta Andreatta , Matthias Gamer
{"title":"评估恐惧泛化作为焦虑预测因子的心理测量考虑","authors":"Yannik Stegmann , Mario Reutter , Katharina Hutterer , Lea Hildebrandt , Jürgen Deckert , Lorenz Deserno , Katharina Domschke , Tina B. Lonsdorf , Paul Pauli , Andreas Reif , Karoline Rosenkranz , Miriam A. Schiele , Dirk Schümann , Peter Zwanzger , Marta Andreatta , Matthias Gamer","doi":"10.1016/j.bpsgos.2025.100570","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>The ability to adaptively transfer acquired fear to novel situations is fundamental for survival in ever-changing environments and may contribute to the emergence and persistence of anxiety disorders. Consequently, research has focused on the assessment of fear generalization profiles to predict individual differences in anxiety. However, substantial heterogeneity in the operationalization of generalization hampers comparisons across studies and poses a risk to the replicability of findings.</div></div><div><h3>Methods</h3><div>To address these issues, we reviewed the literature to identify commonly used methods for characterizing perceptual fear generalization profiles. Then, we conducted simulation analyses to examine correlations between indices and probe their robustness against measurement noise. Finally, we used 2 large empirical datasets (<em>N</em> = 1175 and <em>N</em> = 256 healthy humans) to examine the reliability of these indices and their validity in predicting anxiety-related traits.</div></div><div><h3>Results</h3><div>All identified indices were substantially correlated but highly sensitive to measurement noise, with only minimal differences between methods. Reliabilities were moderate for subjective ratings but poor for skin conductance responses. All indices of fear generalization were unrelated to anxiety-related traits.</div></div><div><h3>Conclusions</h3><div>Overall, a more comprehensive discussion of conceptual and methodological issues is needed to enable informed decisions about how to reliably and validly estimate fear generalization and its relationship with anxiety-related traits or clinical symptoms.</div></div>","PeriodicalId":72373,"journal":{"name":"Biological psychiatry global open science","volume":"5 6","pages":"Article 100570"},"PeriodicalIF":3.7000,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Psychometric Considerations in Assessing Fear Generalization as a Predictor of Anxiety\",\"authors\":\"Yannik Stegmann , Mario Reutter , Katharina Hutterer , Lea Hildebrandt , Jürgen Deckert , Lorenz Deserno , Katharina Domschke , Tina B. Lonsdorf , Paul Pauli , Andreas Reif , Karoline Rosenkranz , Miriam A. Schiele , Dirk Schümann , Peter Zwanzger , Marta Andreatta , Matthias Gamer\",\"doi\":\"10.1016/j.bpsgos.2025.100570\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>The ability to adaptively transfer acquired fear to novel situations is fundamental for survival in ever-changing environments and may contribute to the emergence and persistence of anxiety disorders. Consequently, research has focused on the assessment of fear generalization profiles to predict individual differences in anxiety. However, substantial heterogeneity in the operationalization of generalization hampers comparisons across studies and poses a risk to the replicability of findings.</div></div><div><h3>Methods</h3><div>To address these issues, we reviewed the literature to identify commonly used methods for characterizing perceptual fear generalization profiles. Then, we conducted simulation analyses to examine correlations between indices and probe their robustness against measurement noise. Finally, we used 2 large empirical datasets (<em>N</em> = 1175 and <em>N</em> = 256 healthy humans) to examine the reliability of these indices and their validity in predicting anxiety-related traits.</div></div><div><h3>Results</h3><div>All identified indices were substantially correlated but highly sensitive to measurement noise, with only minimal differences between methods. Reliabilities were moderate for subjective ratings but poor for skin conductance responses. All indices of fear generalization were unrelated to anxiety-related traits.</div></div><div><h3>Conclusions</h3><div>Overall, a more comprehensive discussion of conceptual and methodological issues is needed to enable informed decisions about how to reliably and validly estimate fear generalization and its relationship with anxiety-related traits or clinical symptoms.</div></div>\",\"PeriodicalId\":72373,\"journal\":{\"name\":\"Biological psychiatry global open science\",\"volume\":\"5 6\",\"pages\":\"Article 100570\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biological psychiatry global open science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2667174325001247\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biological psychiatry global open science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667174325001247","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
Psychometric Considerations in Assessing Fear Generalization as a Predictor of Anxiety
Background
The ability to adaptively transfer acquired fear to novel situations is fundamental for survival in ever-changing environments and may contribute to the emergence and persistence of anxiety disorders. Consequently, research has focused on the assessment of fear generalization profiles to predict individual differences in anxiety. However, substantial heterogeneity in the operationalization of generalization hampers comparisons across studies and poses a risk to the replicability of findings.
Methods
To address these issues, we reviewed the literature to identify commonly used methods for characterizing perceptual fear generalization profiles. Then, we conducted simulation analyses to examine correlations between indices and probe their robustness against measurement noise. Finally, we used 2 large empirical datasets (N = 1175 and N = 256 healthy humans) to examine the reliability of these indices and their validity in predicting anxiety-related traits.
Results
All identified indices were substantially correlated but highly sensitive to measurement noise, with only minimal differences between methods. Reliabilities were moderate for subjective ratings but poor for skin conductance responses. All indices of fear generalization were unrelated to anxiety-related traits.
Conclusions
Overall, a more comprehensive discussion of conceptual and methodological issues is needed to enable informed decisions about how to reliably and validly estimate fear generalization and its relationship with anxiety-related traits or clinical symptoms.