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Published on: November 11, 2022
Loneliness, Emotion Dysregulation, and Internalizing Symptoms During Coronavirus Disease 2019: A Structural Equation
Patrizia Velotti1, Guyonne Rogier1, Sara Beomonte Zobel1
1Department of Dynamic and Clinical Psychology, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy.
Insights
Loneliness during COVID-19 confinement predicted internalizing symptoms, with emotion dysregulation partially mediating this link for depression and stress. Clinical interventions should focus on improving emotional regulation skills.
Area of Science:
- Psychology
- Mental Health
- Public Health
Background:
- Investigated the psychological impact of COVID-19 confinement.
- Focused on loneliness and its association with mental health outcomes.
Purpose of the Study:
- To test if loneliness during COVID-19 confinement predicted internalizing symptoms.
- To examine if emotion dysregulation mediated the relationship between loneliness and internalizing symptoms.
Main Methods:
- Online longitudinal survey with 1,330 participants at Time 1 and 308 at Time 2.
- Utilized validated scales for loneliness, emotion regulation, and depression, anxiety, and stress.
- Employed structural equation modeling and cross-lagged panel analysis.
Main Results:
- Loneliness significantly predicted depression, anxiety, and stress.
- Emotion dysregulation partially mediated the longitudinal association between loneliness and depression/stress.
- No mediation was found for the loneliness-anxiety relationship.
Conclusions:
- Loneliness during confinement is a predictor of internalizing symptoms.
- Emotion regulation difficulties play a role in the development of depression and stress.
- Clinical interventions should prioritize enhancing emotion regulation abilities.
Abstract:
Background: Our study aimed to test the hypotheses that an increased level of loneliness experienced during coronavirus disease 2019 (COVID-19) confinement was predictive of internalizing symptoms and that this pathway was mediated by emotion dysregulation levels. Methods: To reach this aim, we performed an online longitudinal survey recruiting 1,330 participants at Time 1 (at the beginning of the lockdown) and 308 participants at Time 2 (few days before the end of the lockdown). All filled out a set of questionnaires: demographic data, University of California, Los Angeles Loneliness scale, Difficulties in Emotion Regulation Scale-18 items, and Depression Anxiety and Stress Scale-21 items. Hypotheses were tested using structural equation modeling in two steps and controlling for age. First, hypotheses were tested on cross-sectional data. Then, a cross-lagged panel analysis was performed on longitudinal data. Results: Models obtained a good fit and evidenced the predictive role of loneliness levels on the three outcomes (i.e., depression, anxiety, and stress). Moreover, we found that emotion dysregulation levels partially mediated the longitudinal relationship between loneliness and both depression and stress but not between loneliness and anxiety levels. Conclusions: This study points out that a central goal of clinical intervention could be the ability to regulate negative emotional states.
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