Why has the concept of behavior determining health created more and more extensive and far-reaching influences ever since it was put forward? The reason lies in its multiple values.It is of great practical significance and has important implications for both the long-term health care and the current situation of COVID-19 to explore and analyze its philosophical values, cultural values, methodological values, social values and the national strategic value of " Healthy China" .

With the rapid development of network technology and the situation of COVID-19 pandemic, the way people use the Internet has changed dramatically, causing the original network behavior to change again and again, and with its huge impact on people's mental and physical health.This paper deeply elaborate the connotation and development of network behavior and analyzes the impact of network behavior on people's health under COVID-19, then puts forward suggestions to speed up the construction of information infrastructure, strengthen network legislation, improve the information literacy of the whole population, and purify the network environment.

Why has the concept of behavior determining health created more and more extensive and far-reaching influence ever since it was put forward? The reason lies in its multiple values. It is of great practical significance and has important implications for long-term health care to explore and analyze in the perspective of the situation of COVID-19 its philosophical values, cultural values, methodological values, social values and the national strategic value of "healthy China".

ObjectiveTo explore the related factors of troublemaking behaviors among patients with mental disorders induced by amphetamine-type stimulants （ATS）， and to provide references for the formulation of relevant intervention measures for ATS-induced mental disorders. MethodsA total of 105 patients who met the diagnostic criteria of International Classification of Diseases， tenth edition （ICD-10） for ATS-induced mental disorders were included， and classified into troublemaking group and non-troublemaking group. The general demographic data and clinical data of the selected individuals were collected， and all patients were assessed using Social Support Rating Scale （SSRS）. Then univariate analysis and multivariate Logistic regression model were used to screen the related factors of troublemaking behaviors. ResultsThe scores of SSRS， objective support dimension and social support utilization dimension were significantly lower in troublemaking group than those in non-troublemaking group， with statistical differences ［（24.10±6.59） vs. （28.94±5.59）， t=3.364， P=0.001； （5.50±1.96） vs. （8.20±2.13）， t=5.183， P<0.01； （4.60±2.26） vs. （6.28±1.90）， t=3.435， P=0.001］. Multivariate Logistic regression analysis showed that male （OR=6.061， P=0.014） was a risk factor， while high social support level （OR=0.873， P=0.018） was the protective factor for troublemaking behaviors among patients with ATS-induced mental disorders. ConclusionPatients with ATS-induced mental disorders of the males and with low social support level are at high risk of troublemaking behaviors.