{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T17:19:00Z","timestamp":1792430340820,"version":"4.5.0"},"reference-count":74,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2020,5,6]],"date-time":"2020-05-06T00:00:00Z","timestamp":1588723200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100002923","name":"Consejo Nacional de Investigaciones Cient\u00edficas y T\u00e9cnicas","doi-asserted-by":"publisher","award":["PIP CONICET 11220150100381CO"],"award-info":[{"award-number":["PIP CONICET 11220150100381CO"]}],"id":[{"id":"10.13039\/501100002923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005363","name":"Universidad de Buenos Aires","doi-asserted-by":"publisher","award":["UBACyT 20020150100037BA"],"award-info":[{"award-number":["UBACyT 20020150100037BA"]}],"id":[{"id":"10.13039\/501100005363","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Psychol Rep"],"published-print":{"date-parts":[[2021,6]]},"abstract":"<jats:p>This study aimed to identify the motives for social media sites use in the general population and determine what personality traits (normal and maladaptive) predict different motives for social media sites use. Another objective was to analyze which motives for SMSs use are related to well-being. The sample consisted of 420 subjects (211 men, 209 women), mean age 40.29\u2009years ( SD\u2009= \u200914.93). Data were gathered using the Big Five Inventory, the Personality Inventory for DSM-5-Brief Form -Adult, the Mental Health Continuum-Short Form, and a scale designed ad hoc to evaluate the motives for social media sites use. The results showed that the most frequent motives were Personal relationship maintenance\/Search for information, Pastime\/Exhibitionism, and Search for companionship. In addition, it was found that normal and, especially, maladaptive personality traits increased the explained variance for the three motives for social media sites use, beyond age and gender. Predictors of relationship initiation and pastime\/exhibitionism motives were related to more negative features (e.g., antagonism and disinhibition) than predictors of personal relationship maintenance\/search for information. Finally, personal relationship maintenance\/search for information was positively related to all the components of well-being, while the other motives for social media sites use were negatively associated with well-being.<\/jats:p>","DOI":"10.1177\/0033294120922495","type":"journal-article","created":{"date-parts":[[2020,5,6]],"date-time":"2020-05-06T20:59:31Z","timestamp":1588798771000},"page":"1070-1092","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":44,"title":["Normal and Maladaptive Personality Traits as Predictors of Motives for Social Media Use and Its Effects on Well-Being"],"prefix":"10.1177","volume":"124","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6090-0762","authenticated-orcid":false,"given":"Mar\u00eda Laura Lupano","family":"Perugini","sequence":"first","affiliation":[{"name":"National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Universidad de Palermo, Buenos Aires, Argentina; Universidad de Buenos Aires, Buenos Aires, Argentina"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alejandro Castro","family":"Solano","sequence":"additional","affiliation":[{"name":"National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Universidad de Palermo, Buenos Aires, Argentina; Universidad de Buenos Aires, Buenos Aires, Argentina"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2020,5,6]]},"reference":[{"key":"bibr1-0033294120922495","unstructured":"Alexa. 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