BACKGROUND

The number of internet users has increased substantially in the last decade and these increasing rates of internet use also apply to children. Children usually have poorer self-control and poorer cognition than college-age populations or adults, the impact of Internet addiction on the health of this group has important implications not only for their individual economic and social outcomes but also the future human capital development in China.

METHODS

We use data from the 2016 and 2018 China Family Panel Survey, a survey that collected data from a large and nationally representative sample of the Chinese population, to construct a sample of children from 25 provinces, and then use DID and PSM-DID methods to investigate whether Internet addiction (increased screen time in this article) impacts the physical and mental health of children (ages 10-15) in China.

RESULTS

Internet addiction has a significant negative impact on child physical and mental health. The mediating effect model shows that Internet addiction impairs child physical and mental health by reducing their sleep and exercise time. The heterogeneity analysis shows that, Internet addiction has a stronger negative effect on urban children than rural children. Additionally, Internet addiction has a significant correlation with the mental health of left-behind children (LBC), but not children living with both parents (CLP).

LIMITATIONS

Our research has several weaknesses. First, this article uses time spent online to measure Internet addiction and this measurement method is not perfect. Also, given that the sample is made up of only Chinese children, conclusions about generalizability remain tentative. Future studies should be conducted in other countries.

CONCLUSION

This study systematically studied the effects of Internet addiction on the physical and mental health of Chinese children. This study can help government leaders make targeted programs to prevent children from Internet addiction in the future, especially to reduce internet dependence among students.