Comparison of Self-Reported and Performance-Based Emotional Granularity in Relation to Skin-Picking Behavior: An Experience Sampling Study

Excessive skin-picking has been conceptualized as a maladaptive emotion regulation strategy. One potential contributor to emotion regulation difficulties is low emotional granularity (EG), defined as the ability to precisely differentiate between emotional states. To our knowledge, this is the first study to investigate whether EG for unpleasant feelings is associated with the severity of skin-picking behavior. A total of 143 individuals (mean age = 25 years, 84% female) participated in an app-assisted one-week experience-sampling study. Twice daily, they provided adjectives to describe their current affective state (performance-based EG) and rated their urge to engage in skin-picking. Additionally, they completed a Skin-Picking Scale (SPS) and an EG questionnaire (self-reported EG). Results showed that higher SPS scores were associated with lower self-reported EG (B = -0.05). However, higher performance-based EG for unpleasant feelings was linked to higher SPS scores (B = 0.02), a greater urge to engage in skin-picking (B = 0.05), and a longer duration of the behavior (B = 0.01). The two EG measures were not correlated (r = 0.01). In conclusion, these findings suggest possible biases in self-perceptions of EG in those who excessively pick their skin. Interventions that train attentional focus and promote the valuing of affective diversity may help align self-reported and performance-based EG, and in turn reduce skin-picking.

Authors

Institutions

Publication Details

Journal
European Journal of Investigation in Health Psychology and Education
Published
2025-10-09
DOI
https://doi.org/10.3390/ejihpe15100204
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparison of Self-Reported and Performance-Based Emotional Granularity in Relation to Skin-Picking Behavior: An Experience Sampling Study

Anne Schienle, Albert Wabnegger
European Journal of Investigation in Health Psychology and Education
Mental Health Research Topics
article

Comparison of Self-Reported and Performance-Based Emotional Granularity in Relation to Skin-Picking Behavior: An Experience Sampling Study

Anne Schienle, Albert Wabnegger
article en

Abstract

Excessive skin-picking has been conceptualized as a maladaptive emotion regulation strategy. One potential contributor to emotion regulation difficulties is low emotional granularity (EG), defined as the ability to precisely differentiate between emotional states. To our knowledge, this is the first study to investigate whether EG for unpleasant feelings is associated with the severity of skin-picking behavior. A total of 143 individuals (mean age = 25 years, 84% female) participated in an app-assisted one-week experience-sampling study. Twice daily, they provided adjectives to describe their current affective state (performance-based EG) and rated their urge to engage in skin-picking. Additionally, they completed a Skin-Picking Scale (SPS) and an EG questionnaire (self-reported EG). Results showed that higher SPS scores were associated with lower self-reported EG (B = -0.05). However, higher performance-based EG for unpleasant feelings was linked to higher SPS scores (B = 0.02), a greater urge to engage in skin-picking (B = 0.05), and a longer duration of the behavior (B = 0.01). The two EG measures were not correlated (r = 0.01). In conclusion, these findings suggest possible biases in self-perceptions of EG in those who excessively pick their skin. Interventions that train attentional focus and promote the valuing of affective diversity may help align self-reported and performance-based EG, and in turn reduce skin-picking.

European Journal of Investigation in Health Psychology and EducationVol. 15(10)
University of Graz (AT)
Openalex Percentile: Top 71%
Mental Health Research Topics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.