The primary aim of this study was to examine associations between problematic Internet use, depression and sleep disturbance, and explore whether there were differential effects of problematic Internet use and depression on sleep disturbance. A total of 1772 adolescents who participated in the Shantou Adolescent Mental Health Survey were recruited in 2012 in Shantou, China. The Chinese version of the Internet Addiction Test (IAT) was used to evaluate the prevalence and severity of Internet addiction. The Chinese version of the Pittsburgh Sleep Quality Index (PSQI), a 10-item version of the Center for Epidemiologic Studies Depression Scale (CESD-10), and other socio-demographic measures were also completed. Multiple regression analysis was used to test the mediating effect of problematic Internet use and depression on sleep disturbance. Among the participants, 17.2% of adolescents met the criteria for problematic Internet use, 40.0% were also classified as suffering from sleep disturbance, and 54.4% of students had depressive symptoms. Problematic Internet use was significantly associated with depressive symptoms and sleep disturbance. The correlation between depressive symptoms and sleep disturbance was highly significant. Both problematic Internet use (β = 0.014; Sobel test Z = 12.7, p < 0.001) and depression (β = 0.232; Sobel test Z = 3.39, p < 0.001) had partially mediating effects on sleep disturbance and depression was of greater importance for sleep disturbance than problematic Internet use. There is a high prevalence of problematic Internet use, depression and sleep disturbance among high school students in southern China, and problematic Internet use and depressive symptoms are strongly associated with sleep disturbance. This study provides evidence that problematic Internet use and depression have partially mediating effects on sleep disturbance. These results are important for clinicians and policy makers with useful information for prevention and intervention efforts.

Background: Millions of people are bitten by animals each year, with approximately 90% of the injuries being caused by dogs and cats. However, few studies focus on risk factors of dog- and cat-induced injury in China. Therefore, the objective of this study was to investigate the rate of dog- and cat-induced injury and its potential risk factors. Methods: The data were from a population-based cross-sectional study conducted in 2015, with a sample of 9380 children 6–19 years of age from two cities, Shenzhen (large city) and Shantou (mid-sized city), in southern China. Multivariate logistic regression models were used to identify the risk factors of injury by dogs and cats. Results: The total rates of dog and cat-induced injury were 15.1% and 8.7% during the lifetime, and 3.4% and 1.7% during the past year, respectively. Dog bites mostly occurred in the dog’s residence (49.4%). Cat scratches were more likely to be inflicted by one’s own cat (47.5%). Children living in suburban and island county had 2.83 times and 2.53 times more dog-related injuries than central urban children, respectively. After stratification by cities, injuries in Shantou were correlated with non-single child families (OR (odds ratios), 1.46; 95% CI (95% confidence interval), 1.09–1.96) and raising cats (OR, 5.34; 95% CI, 3.88–7.35). Those who disliked animals (OR, 0.62; 95% CI, 0.45–0.88) or had good academic performance (OR, 0.46; 95% CI, 0.35–0.60) had lower risk for injury. Injuries in Shenzhen were related to the mother’s educational level (OR, 1.51; 95% CI, 1.11–2.07) and mother being a migrant worker (OR, 2.10; 95% CI, 1.12–3.94). Conclusions: Family factors were important to predict dog- and cat-induced injury among children from Shenzhen, and personal factors were closely associated with injury among children form Shantou.

The purpose of this study is to explore the relationships between sleep behaviors and injury occurrence among Chinese school-aged children. Data were collected with self-administered questionnaires of a cross-sectional survey which covered the school-aged children from southeastern Chinese urban and rural areas in April 2010. Information was collected on unintentional injury in the past year, sleep duration, napping and daytime fatigue, sleeping pill use, and social-demographic variables. Multivariable logistic regression analyses, controlling for confounding factors, were conducted to assess sleep-related variables that were associated with injuries. Students who slept for less than 8 h had a 30% increased risk of injury (OR: 1.30; 95%CI: 1.01–1.69) compared with those who slept for 8–9 h. Lack of napping, snoring and use of sleeping pills were significantly associated with injury. Among different genders, the slight difference in sleep behaviors predicted the occurrence of injury. Rural children displayed more sleep behaviors associated with injury than urban children. The sleep behaviors of primary school students were more negatively correlated with injury occurrence than junior/senior high school children. Consideration should be given to the prevention of problematic sleep behaviors as a potential risk factor in order to decrease injury rates and promote the health of school-aged children.