Interpersonal difficulties in obesity: A systematic review and meta-analysis to inform a rejection sensitivity-based model

Gaia Albano, Katie Rowlands, Luigi Baciadonna, Gianluca Lo Coco, Valentina Cardi*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

29 Citations (Scopus)
583 Downloads (Pure)


Obesity is associated with difficulties due to stigma and loneliness. These impact negatively on individuals’ quality of life and behaviour change efforts. Increased sensitivity to others’ negative feedback might play a role in the maintenance of these difficulties and could be addressed in psychological interventions. We conducted a systematic review of interpersonal difficulties in individuals with obesity, across the lifespan. We investigated early interpersonal adversity (i.e. frequency of teasing/bullying), perceived interpersonal stress and quality of social life, based on a rejection sensitivity model. The databases PubMed, Web of Knowledge and AGRIS, Embase, Medline and PsychINFO were searched for published peer-reviewed journal articles (1980-June 2018). Thirty-two studies met inclusion criteria. Results from the meta-analyses (n = 16 studies) indicated that overweight/obese individuals reported more frequent experiences of teasing/bullying, greater interpersonal stress and poorer quality of social life than healthy weight individuals. Findings in the systematic review aligned to this evidence. Psychological interventions targeting increased sensitivity to negative interpersonal feedback could improve interpersonal functioning and, in turn, eating behaviours in individuals with obesity.

Original languageEnglish
Pages (from-to)846-861
Number of pages16
JournalNeuroscience and Biobehavioral Reviews
Early online date2 Oct 2019
Publication statusPublished - Dec 2019


  • Binge eating disorder
  • Interactions
  • Isolation
  • Overweight


Dive into the research topics of 'Interpersonal difficulties in obesity: A systematic review and meta-analysis to inform a rejection sensitivity-based model'. Together they form a unique fingerprint.

Cite this