Social Media Use and Its Concurrent and Subsequent Relation to a Biological Marker of Inflammation: Short-Term Longitudinal Study.
Social Media Use and Its Concurrent and Subsequent Relation to a Biological Marker of Inflammation: Short-Term Longitudinal Study.
复制标题
DOI：
10.2196/46309
复制
发表时间：
2023-12-08
影响因子：
7.4
通讯作者：
Way, Baldwin
中科院分区：
文献类型：
--
作者：
Lee, David;Jiang, Tao;Crocker, Jennifer;Way, Baldwin
关键词：
虽然许多研究已经研究了社交媒体使用（SMU）对心理健康的影响，但很少有研究研究SMU与健康相关生物标志物的关联。针对这一差距，我们进行了一项短期纵向研究，检查SMU和C反应蛋白（CRP）之间的联系，CRP是预测抑郁症，慢性疾病和死亡率的全身炎症的生物标志物。我们通过Screen Time应用程序连续5周客观地测量了大学生每周的SMU量，并在基线和5周后收集了血液样本。在I期（基线）和II期（基线后5周）进行的单独横断面分析中，在两个时间点，客观SMU与CRP呈正相关。重要的是，在纵向分析中，1期和2期之间更多的SMU预测了这些时间点之间CRP的增加，这表明SMU的增加导致了该期间炎症的加剧。虽然需要更多的研究来了解为什么SMU会导致更高的炎症，但客观SMU与对身体健康至关重要的生物过程标志物之间的关联为未来研究社交媒体影响提供了一个有趣的机会。
Although many studies have examined the impact of social media use (SMU) on mental health, very few studies have examined the association of SMU with health-relevant biomarkers. Addressing this gap, we conducted a short-term longitudinal study examining the link between SMU and C-reactive protein (CRP), a biological marker of systemic inflammation predictive of major depression, chronic diseases, and mortality. We measured college students’ weekly amount of SMU for 5 consecutive weeks objectively via the Screen Time app and collected blood samples at baseline and 5 weeks later. In separate cross-sectional analyses conducted at phase 1 (baseline) and at phase 2 (5 weeks after baseline), objective SMU had a positive, concurrent association with CRP at both time points. Critically, in a longitudinal analysis, more SMU between phase 1 and phase 2 predicted increased CRP between these time points, suggesting that increased SMU led to heightened inflammation during that period. Although more research is needed to understand why SMU led to higher inflammation, the association between objective SMU and a marker of a biological process critical to physical health presents an intriguing opportunity for future research on social media effects.
登录
查看更多内容
影响因子：
9.9
作者：
Afifi, Tamara D.;Zamanzadeh, Nicole;Callejas, Micelle Acevedo
通讯作者：
Callejas, Micelle Acevedo
影响因子：
7.2
作者：
Liu, Dong;Baumeister, Roy F.;Hu, Beijing
通讯作者：
Hu, Beijing
影响因子：
3.9
作者：
Bennett, Jeanette M.;Reeves, Glenn;Sturmberg, Joachim P.
通讯作者：
Sturmberg, Joachim P.
影响因子：
2.2
作者：
CLARK, GH;FRASER, CG
通讯作者：
FRASER, CG
影响因子：
12.6
作者：
Goetz, Friedrich M.;Gosling, Samuel D.;Rentfrow, Peter J.
通讯作者：
Rentfrow, Peter J.