Relationship between regulatory processes and problematic social media use: A systematic review San Martín Iñiguez, Leyre García, Elkin Luis Rosado Luna, Esther García-Rodríguez, Laura Aoiz Pinillos, Martín De la Fuente Arias, Jesús Morón Henche, Ignacio Addictive behavior Social media Problematic use of internet Regulation Health psychology This research was funded by R&D Pgc2018-094672-B-I00; R&D Project Pid2022-136466nb-I00 of Knowledge Generation Projects 2022; University of Navarra and Ministry of Science and Education, the State Research Agency (AEI) and is co-financed by the European Regional Development Fund (ERDF). Objective: This review aimed to synthesize and analyze the relationship between regulatory processes (self- regulation, emotion regulation, self-control and impulsivity) and problematic social media use (PSMU) in the general population. Method: A systematic search was conducted in five databases, and all articles published from May 2013 to April 2024 were identified. Results: After screening 2655 articles, 45 studies were included in the review. The total sample comprised 34,332 participants. The results confirm the effect of regulatory processes on the PSMU. This relationship is present in all age groups and in different cultures. Furthermore, the mediating effect of regulation on the relationship between PSMU and variables like anxiety, depression, self-esteem or attachment has been observed. Despite the confir- matory nature of these studies, their results should be interpreted with caution because they may be influenced by certain methodological limitations in the research on which they are based. Conclusion: Regulatory processes play a fundamental role in the PSMU. These findings contribute to a deeper understanding of this behavior and offer insights for the development of effective prevention and intervention strategies 2025-03-19T08:41:23Z 2025-03-19T08:41:23Z 2024-12 journal article L. San Martín Iñiguez et al. Relationship between regulatory processes and problematic social media use: A systematic review. Computers in Human Behavior Reports 16 (2024) 100507. https://doi.org/10.1016/j.chbr.2024.100507 https://hdl.handle.net/10481/103164 10.1016/j.chbr.2024.100507 eng open access Elsevier