Social Media Use and Well-Being: A Systematic Review and Meta-Analysis
Ansari S, Iqbal N, Asif R, Hashim M, Farooqi SR, Alimoradi Z
Cyberpsychology, behavior and social networking · 12 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
- Metaanálisis (indexado por PubMed)
- Estudiado en
- Personas
- Resultado principal
- Marcadores de salud y funcionamiento
Quién lo pagó
- Financiación
- Financiación no declarada
Publicación
- Publicado
- 2024-08-27 · Cyberpsychol Behav Soc Netw · vol. 27 · número 10 · págs. 704–719
- Editorial
- Mary Ann Liebert, Inc.
- Citado
- 28 citas · más que el 93% de estudios similares · 3.6× el promedio de su campo
- Impacto
- Entre el 10 % más citado de su campo
- Referencias
- 76 trabajos
- Acceso
- De pago
- Áreas de investigación
- Impact of Technology on Adolescents · Psychological Well-being and Life Satisfaction · Digital Media and Philosophy
- Palabras clave
- social media use, social media addiction, excessive social media use, psychological well-being, subjective well-being, positive well-being, negative well-being, mental health, adolescents, young adults, older adults, gender differences, age differences, internet users, publication bias, study quality, subgroup analysis
- MeSH
- humans, personal satisfaction, social media
6 autores
- Sameer Ansari🇮🇳Jamia Millia Islamia
- Naved Iqbal🇮🇳Jamia Millia Islamia
- Resham Asif🇮🇳Jamia Millia Islamia
- Mohammad Hashim🇮🇳Jamia Millia Islamia
- Saif R. Farooqi🇮🇳Jamia Millia Islamia
- Zainab Alimoradi🇮🇷Qazvin University of Medical Sciences
Resumen
El texto original del estudio, en el idioma en que se publicó.
Prior research has investigated the link between social media use (SMU) and negative well-being. However, the connection with positive well-being has not been extensively studied, leading to a situation where there are inconsistent and inconclusive findings. This study fills this gap by examining the correlation between excessive and problematic SMU and subjective as well as psychological well-being (PWB). We conducted a systematic search across databases such as PubMed, Scopus, and Web of Science, and gray literature sources such as Research Gate and ProQuest, yielding 51 relevant studies for meta-analysis, encompassing a sample size of 680,506 individuals. Employing the Newcastle-Ottawa Scale, we assessed study quality, whereas statistical analysis was executed using R Studio. Excessive SMU showed no significant association with subjective (ES = 0.003, 95% confidence interval [95% CI]: -0.08, 0.09; p = 0.94, I2 = 95.8%, k =16) and PWB (ES = 0.16, 95% CI: -0.15, 0.45; p = 0.26, I2 = 98%, k = 7). Conversely, problematic SMU showed a negative correlation with subjective (ES = -0.14, 95% CI: -0.20, -0.09; p = 0.00, I2 = 93.3%, k = 25) and PWB (ES = -0.19, 95% CI: -0.31, -0.06; p = 0.01, I2 = 95%, k = 5), with two outliers removed. No publication bias was detected. Subgroup analysis highlighted effects of "sampling method" (p p p p p p p < 0.05), and multivariate meta-regression showed the combined effect of moderators only on the relationship between problematic SMU and subjective well-being.
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