Journal Article 1 Mention
Time Spent on Social Media and Risk of Depression in Adolescents: A Dose–Response Meta-Analysis
Mingli Liu2022
Kimberly E. Kamper‐DeMarcoJie Zhang
Top 1% · 99th Percentile
159 citations · Sociology and Political Science
Open Access

TLDR

Teenagers who spend more time on social media are more likely to experience depression symptoms. The link is stronger for girls, but the study cannot show that social media directly causes depression.

Summary

1 Study Aim

The authors aimed to clarify whether adolescents’ time spent on social media is linked with depression symptoms. They also tested whether risk rises steadily with each additional hour and differs between girls and boys. The research addressed mixed findings from earlier studies and hypothesized a linear increase based on the displacement theory, which suggests that social media may replace healthier activities. More daily social media use was expected to go along with steadily higher depression risk, especially among girls.

2 Study Design

The researchers conducted a dose–response meta-analysis (a statistical combination of studies that tests how an exposure level relates to an outcome). They searched Web of Science, PubMed, and PsycINFO through 9 January 2022. The review included 26 observational studies, comprising 55,340 adolescents aged about 10–19 years. Twenty-one studies were cross-sectional, measuring factors at one time, and five were longitudinal, following participants over time. The researchers calculated odds ratios (ORs, comparisons of outcome likelihood) and used generalized least-squares trend estimation to assess hourly changes. They also examined gender, measurement differences, study quality, sensitivity, and publication bias. The researchers combined existing adolescent studies and compared depression risk at different levels of social media use.

3 Findings

The study found that greater social media time was associated with higher depression risk, with an overall OR of about 1.59 and substantial variation between studies. The dose–response analysis found a linear pattern: each extra daily hour was associated with a 13% higher risk. The association was stronger for girls, at OR 1.72, than boys, at OR 1.20. Among gender-separated samples, each hour was linked with 13% higher risk for girls and 9% for boys. The authors recommend monitoring adolescents’ use, particularly for girls, while cautioning that motivation, content, platform, and engagement may matter. Because all studies were observational, causation remains uncertain. They call for randomized studies and more objective usage measures. More time was linked with more depression symptoms, but the evidence does not prove that social media caused them.

Abstract

Adolescent depression is a worldwide public health concern and has contributed to significant socioeconomic burden. Investigating the association between time spent on social media (TSSM) and depression may provide guidance toward the prevention and intervention of adolescent depression. However, related literature reported mixed findings in terms of the relationship between TSSM and depression in adolescents. Hence, we conducted a comprehensive dose−response meta-analysis to clarify this issue. We conducted a systematic title/abstract and topic search of the relative terms in Web of Science, PubMed, PsycINFO databases through 9 January 2022. Odd ratios (ORs) were used to examine the pooled effect size of the association between TSSM and risk of depression. Dose−response analysis was evaluated by a generalized least squares trend estimation. Twenty-one cross-sectional studies and five longitudinal studies including a total of 55,340 participants were included. Overall, more TSSM was significantly associated with a higher risk of depression symptoms (OR = 1.60, 95%CI: 1.45 to 1.75) with high heterogeneity (Q(29) = 105.9, p < 0.001; I2 = 72.6%). The association was stronger for adolescent girls (OR = 1.72, 95%CI: 1.41 to 2.09) than boys (OR = 1.20, 95%CI: 1.05 to 1.37). Five studies with seven reports were included in dose−response analysis. There was a linear dose−response association of TSSM and risk of depression. The risk of depression increased by 13% (OR = 1.13, 95%CI: 1.09 to 1.17, p < 0.001) for each hour increase in social media use in adolescents. TSSM is associated with depression in a linear dose−response and gender-specific manner, which suggests the need for better monitoring of adolescent social media use. However, motivation, content, and engagement on and exposure to social media use may also be important contributing factors, making it necessary to interpret the current findings with caution. Therefore, further research is required to clarify not only the causal link between TSSM and depression by randomized control studies but also the influence of other factors, such as active vs. passive social media use or different types of engagement or environments in which social media is used.

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