Background Nowadays, Internet addiction is becoming increasingly popular among college students, causing great harm to their physical and mental health. More and more researchers pay attention to Internet addiction. However, the influencing factors of it were not clear. This study aimed to explore the influencing factors, then explained it with liquidity preference theory, hoping our findings might provide theoretical basis for preventing Internet addiction.Methods A total of 2355 college students were randomly selected to complete questionnaires consisted of sociodemographic data, UCLA Loneliness Scale, and Internet Addiction Test from 2021 to 2022 in Wuhan, China. The multivariable linear and logistic regressions were conducted to explore the influencing factors of Internet addiction.Results In this survey, the prevalence of internet addiction was 33.7% (794/2355). According to the multiple linear regression analysis, low level of satisfaction in school and professional satisfaction, the experience of childhood maltreatment, and the high level of loneliness were risk factors for Internet addiction. However, age and grade were the protective factors for Internet addiction. Graduate students had lower rates of Internet addiction than undergraduates. In the fully corrected model multiple logistic regression analysis, students with average and high levels of loneliness had 1.84 times and 4.83 times the risk of Internet addiction compared with individuals with low levels of loneliness.Conclusion Students with high levels of loneliness were at higher risk for Internet addiction. Perhaps we could reduce the loneliness of students by organizing more group activities, so as to reduce the rate of Internet addiction.

Guo H. et al. (Bioscience reports (2018) 38, BSR20180177) published a meta-analysis concerning the association between 5 nucleotide polymorphisms (SNPs) in the high-affinity IgE receptor beta chain (FcεRIβ) gene, namely E237G, -109 C/T, RsaI_in2, RsaI_ex7, and I181L, and risk of asthma and allergic rhinitis based on available 29 case-control studies. Summary odds ratios (ORs) and 95% confidence intervals (CIs) were used to assess the strength of association of SNPs in FcεRIβ gene with allergic diseases risk. They found that FcεRIβ E237G (237G versus 237E: OR=1.28, 95% CI=1.06-1.53) and -109 C/T (TT vs. CT+CC: OR=1.58, 95% CI=1.26-1.98) were risk factors for allergic diseases. Guo H. et al.’s findings are interesting, but we found that several issues should be clarified after careful reading the paper. Here we intended to comment on these data clarifications.

Objective To understand the current smart phone addiction tendency (SPAT) in medical university students and relationship with personality traits. Methods A cross-sectional study from September 2019 to December 2019 selected medical students from Hubei University of China by cluster sampling. Questionnaires were administered to measure smart phone addiction tendency and personality traits. Results The prevalence of SPAT among 972 medical students was 24.3%. The prevalence was higher in students from one-child family than those with siblings (28.2% vs. 21.7%), and higher among students from urban families than those from rural ones (29.2% vs. 19.7%).Multivariate logistic regression analysis showed that extraversion and neuroticism were correlated with SPAT, with odds ratio and 95% confidence interval being equal to 1.070 (1.011–1.133) and 0.838 (0.795–0.844), respectively. Conclusions The prevalence of SPAT was high in medical college students. Extraversion and neuroticism were risk and protective factors for SPAT. Long duration phone use and a low number of physical workouts predicted high SPAT.