Adult attachment and problematic social media use: a daily measure study

Attachment theory provides a valuable framework for understanding individual vulnerability to problematic social media use (PSMU). Previous research has found consistent evidence that PSMU is associated with increased attachment anxiety, whereas the role of attachment avoidance remains unclear. Most studies have relied on cross-sectional designs and measures that may fail to distinguish intensive from maladaptive engagement with social media. In this study, we adopted a daily diary approach in a community sample of adults (N = 89; 77.5% female; mean age = 23.64 ± 5.92 years, range = 20-50) to test whether attachment styles, defined by positive or negative representations of the self and others, predicted PSMU over a 14-day period. Participants were administered self-report instruments evaluating attachment styles and central symptoms of PSMU (i.e., mood modification, relapse, withdrawal, and conflict). Linear mixed-effects modeling revealed that higher baseline preoccupied attachment significantly predicted greater daily PSMU. Given the modest sample size, these findings should be interpreted cautiously. Nonetheless, the results provide preliminary longitudinal evidence that a negative representation of the self and a positive representation of others, as well as high levels of attachment anxiety, may increase the vulnerability to engaging in social media use as a dysfunctional compensatory strategy.

Authors

Institutions

Publication Details

Journal
Addictive Behaviors
Published
2026-04-30
DOI
https://doi.org/10.1016/j.addbeh.2026.108722
Primary Topic
Impact of Technology on Adolescents
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Adult attachment and problematic social media use: a daily measure study

Gianluca Santoro, Virginia Pupi, Marco Sforza, Alessandro Musetti et al.
Addictive Behaviors
Impact of Technology on Adolescents
article

Adult attachment and problematic social media use: a daily measure study

Gianluca Santoro, Virginia Pupi, Marco Sforza, Alessandro Musetti, Alessio Gori, Elisa Mancinelli
article en

Abstract

Attachment theory provides a valuable framework for understanding individual vulnerability to problematic social media use (PSMU). Previous research has found consistent evidence that PSMU is associated with increased attachment anxiety, whereas the role of attachment avoidance remains unclear. Most studies have relied on cross-sectional designs and measures that may fail to distinguish intensive from maladaptive engagement with social media. In this study, we adopted a daily diary approach in a community sample of adults (N = 89; 77.5% female; mean age = 23.64 ± 5.92 years, range = 20-50) to test whether attachment styles, defined by positive or negative representations of the self and others, predicted PSMU over a 14-day period. Participants were administered self-report instruments evaluating attachment styles and central symptoms of PSMU (i.e., mood modification, relapse, withdrawal, and conflict). Linear mixed-effects modeling revealed that higher baseline preoccupied attachment significantly predicted greater daily PSMU. Given the modest sample size, these findings should be interpreted cautiously. Nonetheless, the results provide preliminary longitudinal evidence that a negative representation of the self and a positive representation of others, as well as high levels of attachment anxiety, may increase the vulnerability to engaging in social media use as a dysfunctional compensatory strategy.

Addictive BehaviorsVol. 180
University of Parma (IT), University of Padua (IT), Vita-Salute San Raffaele University (IT), University of Milan (IT), University of Florence (IT)
Reduced inequalities
Openalex Percentile: Top 6%
Impact of Technology on Adolescents
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.