Abstract：
BACKGROUND: Phubbing is a commonly seen phenomenon that has emerged in recent years among groups of college students, posing a rising challenge to educators. We conduct research in which the reciprocal relationship between problematic social media use and phubbing is explored and analysed quantitatively, aiming to discover reliable theoretical support to work out an appropriate intervention on students\' phubbing for students\' mental health concerns.
METHODS: Using the problematic social media use scale and the phubbing scale, 328 college students from four universities in Shandong Province were enrolled in a two-stage longitudinal follow-up study for 20 months from December 2019 to August 2021. A cross-lagged model was constructed to explore the reciprocal relationship between problematic social media use and phubbing. The results of correlation analysis showed that problematic social media use was positively correlated with phubbing at both time points (r = 0.51, 0.53, P < 0.01).
RESULTS: The results of cross-lagged regression analysis showed that the predictive effect of pretest problematic social media use on posttest problematic social media use was statistically significant (β = 0.24, P < 0.01). There was statistical significance in the prediction effect of pretest phubbing on posttest phubbing (β = 0.16, P < 0.05). Pretest problematic social media use had statistical significance in predicting posttest phubbing (β = 0.22, P < 0.01), and there was no statistical significance in the prediction of pretest phubbing on posttest problematic social media (β = 0.16, P < 0.05).
CONCLUSIONS: The problematic social media use of college students is closely related to phubbing, and problematic social media use can predict phubbing.
METHODS: Using the problematic social media use scale and the phubbing scale, 328 college students from four universities in Shandong Province were enrolled in a two-stage longitudinal follow-up study for 20 months from December 2019 to August 2021. A cross-lagged model was constructed to explore the reciprocal relationship between problematic social media use and phubbing. The results of correlation analysis showed that problematic social media use was positively correlated with phubbing at both time points (r = 0.51, 0.53, P < 0.01).
RESULTS: The results of cross-lagged regression analysis showed that the predictive effect of pretest problematic social media use on posttest problematic social media use was statistically significant (β = 0.24, P < 0.01). There was statistical significance in the prediction effect of pretest phubbing on posttest phubbing (β = 0.16, P < 0.05). Pretest problematic social media use had statistical significance in predicting posttest phubbing (β = 0.22, P < 0.01), and there was no statistical significance in the prediction of pretest phubbing on posttest problematic social media (β = 0.16, P < 0.05).
CONCLUSIONS: The problematic social media use of college students is closely related to phubbing, and problematic social media use can predict phubbing.
摘要：
背景：张是近年来在大学生群体中出现的一种常见现象，对教育工作者构成了日益严峻的挑战。我们进行了研究，对有问题的社交媒体使用和phubbing之间的相互关系进行了定量的探索和分析，旨在发现可靠的理论支持，为学生的心理健康问题制定适当的干预措施。
方法：使用有问题的社交媒体使用量表和phubbing量表，从2019年12月至2021年8月，来自山东省四所大学的328名大学生参加了为期20个月的两阶段纵向随访研究。构建了一个交叉滞后模型，以探索有问题的社交媒体使用与phubbing之间的相互关系。相关性分析结果显示,问题社交媒体使用与两个时间点的误吸均呈正相关(r=0.51、0.53,P<0.01)。
结果：交叉滞后回归分析结果显示，前测问题社交媒体使用对后测问题社交媒体使用的预测作用有统计学意义(β=0.24，P<0.01)。试验前给药对试验后给药的预测效果有统计学意义(β=0.16,P<0.05)。最前有问题的社交媒体使用在预测测后误吸方面具有统计学意义（β=0.22，P<0.01），在测试后有问题的社交媒体上对测试前的影响没有统计学意义（β=0.16，P<0.05）。
结论：大学生社交媒体使用的问题与phubbing密切相关，有问题的社交媒体使用可以预测phubbing。
方法：使用有问题的社交媒体使用量表和phubbing量表，从2019年12月至2021年8月，来自山东省四所大学的328名大学生参加了为期20个月的两阶段纵向随访研究。构建了一个交叉滞后模型，以探索有问题的社交媒体使用与phubbing之间的相互关系。相关性分析结果显示,问题社交媒体使用与两个时间点的误吸均呈正相关(r=0.51、0.53,P<0.01)。
结果：交叉滞后回归分析结果显示，前测问题社交媒体使用对后测问题社交媒体使用的预测作用有统计学意义(β=0.24，P<0.01)。试验前给药对试验后给药的预测效果有统计学意义(β=0.16,P<0.05)。最前有问题的社交媒体使用在预测测后误吸方面具有统计学意义（β=0.22，P<0.01），在测试后有问题的社交媒体上对测试前的影响没有统计学意义（β=0.16，P<0.05）。
结论：大学生社交媒体使用的问题与phubbing密切相关，有问题的社交媒体使用可以预测phubbing。
