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The Roles of Emotion Regulation and Alexithymia in the Relationship Between Sleep and Social Functioning.

Lillian A HammerKelsey A Bonfils
Published in: Psychological reports (2024)
Poor sleep quality has been tied to worse social functioning outcomes, including greater loneliness, fewer social interactions, and lower social integration. Other factors likely play a role in the relationship between sleep quality and social functioning. Specifically, alexithymia and emotion regulation may serve as moderators in these relationships. Data for this study came from the Pittsburgh Cold Study 3, a publicly available dataset ( N = 213). Participants completed self-report measures including the Pittsburgh Sleep Quality Index, the Emotional Regulation Questionnaire, Toronto Alexithymia Scale, and four measures of social functioning: Social Network Index, Social Participation Measure, Short Loneliness Scale, and Interpersonal Support Evaluation List for providing support to others. Sleep quality was significantly related to the social functioning variables. Further, the use of the emotion regulation strategy reappraisal significantly moderated the relationship between sleep quality and social participation. Worse sleep quality was related to lower engagement in social activities, only for participants high in use of reappraisal. Additionally, the use of reappraisal significantly moderated the relationship between sleep quality and giving of support. Worse sleep quality was related to less self-reported giving of support to others only for participants high in the use of reappraisal. Results suggest that the use of reappraisal may be an important factor to consider in the relationship between sleep and social functioning. Future work should extend these findings to the general population and a sample of individuals with relevant diagnoses, such as borderline personality or schizophrenia-spectrum disorders.
Keyphrases
  • sleep quality
  • depressive symptoms
  • physical activity
  • healthcare
  • mental health
  • social support
  • machine learning
  • electronic health record
  • bipolar disorder
  • big data
  • adipose tissue
  • cross sectional
  • network analysis