Passive and Active Social Media Use and Depressive Symptoms Among United States Adults
Escobar-Viera CG, Shensa A, Bowman ND, Sidani JE, Knight J, James AE, Primack BA
Cyberpsychology, behavior and social networking · 133 citas
Etiquetas de revisión
Financiación no declaradaDatos neutrales que nuestra revisión registró sobre cómo se hizo este estudio. Describen el método, nunca si nos gusta el resultado.
Cómo se estudió
- Diseño
- Estudio transversal (clasificado por nuestro filtro de IA)
- Estudiado en
- Personas
- Resultado principal
- Marcadores de salud y funcionamiento
Quién lo pagó
- Financiación
- Financiación no declarada
Publicación
- Publicado
- 2018-07-01 · Cyberpsychol Behav Soc Netw · vol. 21 · número 7 · págs. 437–443
- Editorial
- Mary Ann Liebert, Inc.
- Citado
- 361 citas · más que el 100% de estudios similares · 60.0× el promedio de su campo
- Impacto
- Entre el 10 % más citado de su campo
- Referencias
- 54 trabajos
- Acceso
- De pago
- Áreas de investigación
- Impact of Technology on Adolescents · Digital Mental Health Interventions · Mental Health Research Topics
- Palabras clave
- social media use, passive social media use, active social media use, depressive symptoms, mental health, adolescents and young adults
- MeSH
- humans, logistic models, depression, anxiety, psychiatric status rating scales, adolescent, adult, middle aged, united states, female, male, young adult, social media, surveys and questionnaires
7 autores
- César G. Escobar-Viera🇺🇸 · autor de correspondenciaUniversity of Pittsburgh
- Ariel S. Shensa🇺🇸University of Pittsburgh
- Nicholas David Bowman🇺🇸West Virginia University
- Jaime E. Sidani🇺🇸University of Pittsburgh
- Jennifer Knight🇺🇸West Virginia University
- Alton Everette James🇺🇸University of Pittsburgh
- Brian A. Primack🇺🇸University of Pittsburgh
Resumen
El texto original del estudio, en el idioma en que se publicó.
Social media allows users to explore self-identity and express emotions or thoughts. Research looking into the association between social media use (SMU) and mental health outcomes, such as anxiety or depressive symptoms, have produced mixed findings. These contradictions may best be addressed by examining different patterns of SMU as they relate to depressive symptomatology. We sought to assess the independent associations between active versus passive SMU and depressive symptoms. For this, we conducted an online survey of adults 18-49 of age. Depressive symptoms were measured using the Patient-Reported Outcomes Measurement Information System brief depression scale. We measured active and passive SMU with previously developed items. Factor analysis was used to explore the underlying factor structure. Then, we used ordered logistic regression to assess associations between both passive and active SMU and depressive symptoms while controlling for sociodemographic covariates. Complete data were received from 702 participants. Active and passive SMU items loaded on separate factors. In multivariable analyses that controlled for all covariates, each one-point increase in passive SMU was associated with a 33 percent increase in depressive symptoms (adjusted odds ratio [AOR] = 1.33, 95 percent confidence interval [CI] = 1.17-1.51). However, in the same multivariable model, each one-point increase in active SMU was associated with a 15 percent decrease in depressive symptoms (AOR = 0.85, 95 percent CI = 0.75-0.96). To inform interventions, future research should determine directionality of these associations and investigate related factors.
Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial.
Confianza de la comunidad
Cargando…
¿Cuánto confías en los hallazgos de este estudio?
Comentarios
¿Algo está mal aquí?
Señala este estudio si su información, etiquetas o financiación parecen incorrectas. Un editor revisa cada señalamiento.
Información educativa sobre investigación publicada. No es consejo médico ni una recomendación para empezar o dejar nada.