The associations between problematic smartphone use and blood pressure among 2,573 aged 9-17 years students in Shanghai, China.

Objectives: This study aimed to (1) examine the cross-sectional association between problematic smartphone use (PSU) and blood pressure (BP) in children and adolescents and (2) determine whether the association between PSU and BP differs by the grade of students. Methods: We recruited a total of 2,573 participants from 14 schools in Shanghai by a two-stage sampling method. We derived BP data from the participant's most recent medical examination data, including systolic blood pressure (SBP) and diastolic blood pressure (DBP). We measured PSU by a modified PSU Classification Scale. We also assessed demographic characteristics, body mass index, behavioral variables, and physiological characteristics. Results: High school students had higher BP and PSU scores than primary and middle school students. PSU on the dimension of information collection was associated positively with both SBP and DBP among primary and middle school students, with the ß (95% CI) values of 0.282 (0.018, 0.546) and 0.229 (0.031, 0.427). Meanwhile, the dimension of the relationship of social network was associated positively with SBP among primary and middle school students, with a ß (95% CI) value of 0.390 (0.062, 0.717). PSU on the dimension of information collection was positively associated with the development of high BP, with a OR (95% CI) value of 1.072 (1.011, 1.137) among primary and middle school students. Conclusions: PSU might be a potential correlate of high BP among school-age children and adolescents. The associations between PSU and BP differed by the grade of students as well as according to the four dimensions of PSU.

Smartphone Use Time and Total Screen Time Among Students Aged 10-19 and the Effects on Academic Stress: A Large Longitudinal Cohort Study in Shanghai, China.

Objective: This study aimed to assess smartphone use time and total screen time among students aged 10-19 in Shanghai, China, and examine their effects on academic stress. Methods: Baseline and follow-up surveys were conducted in December 2017 and December 2018, respectively, using a cohort study design with 1,771 participants. Questionnaire surveys and physical examinations of participants were conducted by trained investigators and professional school physicians, respectively. The self-administered questionnaire mainly covered demographic information, academic stress, smartphone use time, total screen time, and other lifestyle behaviors. Results: The average smartphone use time of primary, middle, and high school students was 0.76 ± 0.90, 1.34 ± 1.29, and 2.39 ± 1.66 h/day, respectively; total screen time was 2.60 ± 2.63, 2.65 ± 3.39, and 3.52 ± 2.7 h/day, respectively (P < 0.001). The academic stress scores of primary, middle, and high school students were 9.25 ± 3.96, 11.97 ± 4.58, and 15.06 ± 5.10 (out of 30), respectively. The smartphone use time and total screen time were positively associated with academic stress score, with ß values of 0.307 (95% CI: 0.164-0.450) and 0.171 (95% CI: 0.088-0.255), respectively. The longer the smartphone use time and total screen time, the higher the risk of abnormal academic stress, with OR values of 1.199 (95% CI: 1.103-1.303) and 1.104 (95% CI: 1.056-1.154), respectively. After stratifying by grade group, positive associations between smartphone use time or total screen time and abnormal academic stress were observed in primary and middle school students; for high school students; however, only smartphone use time had a positive association. Conclusions: This study confirmed that the academic stress is widespread among students aged 10-19 in Shanghai, China. From a public health perspective, smartphone use time and total screen time should therefore be restricted for reducing academic stress and preventing related problems among adolescents in Shanghai, China, in school, family, and other environments.

A Real-World Study Comparing Various Antimicrobial Regimens for Bloodstream Infections Caused by Carbapenem-Resistant Gram-Negative Bacilli in a Tertiary Hospital, Shanghai, China, from 2010 to 2017.

BACKGROUND: We conducted a real-world analysis of the effectiveness of different antibiotic regimens for bloodstream infections (BSIs) caused by carbapenem-resistant gram-negative bacilli (CR-GNB) in a Chinese population. METHODS: A retrospective observational study was conducted between January 2010 and December 2017. Patients with BSIs caused by CR-GNB confirmed by in vitro susceptibility tests were enrolled, and patient medical record data on antimicrobial agents and microbiological and clinical outcomes were extracted. RESULTS: A total of 175 individuals were included; 127 individuals (72.6%) received combination therapy (two or more antibiotics), while 48 individuals (27.4%) received monotherapy (single antibiotic). The all-cause 28-day mortality was 20.0%. Treatment success or presumed success rates were very similar between the monotherapy and combination therapy groups (58.3% versus 59.1%; P = 0.931). Combination therapy had a higher success rate trend than monotherapy in septic shock patients (40.7% versus 18.2%; P = 0.268). Improved therapeutic effects were observed in the active agent-containing group, although the differences were not significant. CONCLUSION: Combination therapy likely has better therapeutic effects on critical BSIs caused by CR-GNB than monotherapy. Choosing a proper active agent in an antimicrobial regime is relatively crucial to the ultimate treatment outcome.

Patterns, influencing factors and mediating effects of smartphone use and problematic smartphone use among migrant workers in Shanghai, China.

BACKGROUND: With the popularization of smartphones in China, the conditions of smartphone use (SU) and problematic smartphone use (PSU) among migrant workers are unknown. This study explored the patterns and influencing factors of SU and PSU in migrant workers in Shanghai, China. Furthermore, the mediation effects of PSU in the link between SU and some psychological factors were also examined. METHODS: Questionnaires containing the Mobile Phone Addiction Index, Patient Health Questionnaire, World Health Organization Five-item Well-being Index and other items, including demographics, sleep quality, job stress and SU, were distributed to 2330 migrant workers by trained investigators in six districts of Shanghai from June to September 2018. RESULTS: Of the 2129 returned questionnaires, 2115 were valid. SU and PSU varied according to certain demographics. Many demographics, psychological factors, sleep quality and main smartphone applications were influencing factors for SU and PSU. PSU played a mediating role in the link between daily SU time and psychological factors, including depression, mental health and job stress. CONCLUSIONS: The health influences of SU and PSU on migrant workers in Shanghai merit significant attention. Additionally, it is necessary to develop and target intervention strategies according to the workers' various characteristics and SU patterns.

A pilot study of a group mindfulness-based cognitive-behavioral intervention for smartphone addiction among university students.

BACKGROUND AND AIMS: Mindfulness-based intervention (MBI) has been applied in behavioral addiction studies in recent years. However, few empirical studies using MBI have been conducted for smartphone addiction, which is prevalent among Chinese university students. The aim of this study was to investigate the effectiveness of a group mindfulness-based cognitive-behavioral intervention (GMCI) on smartphone addiction in a sample of Chinese university students. METHODS: Students with smartphone addiction were divided into a control group (n = 29) and an intervention group (n = 41). The students in the intervention group received an 8-week GMCI. Smartphone addiction was evaluated using scores from the Mobile Phone Internet Addiction Scale (MPIAS) and self-reported smartphone use time, which were measured at the baseline (1st week, T1), post-intervention (8th week, T2), the first follow-up (14th week, T3), and the second follow-up (20th week, T4). RESULTS: Twenty-seven students in each group completed the intervention and the follow-up. Smartphone use time and MPIAS scores significantly decreased from T1 to T3 in the intervention group. Compared with the control group, the intervention group had significantly less smartphone use time at T2, T3, and T4 and significantly lower MPIAS scores at T3. DISCUSSION AND CONCLUSION: This pilot study demonstrated that the GMCI could significantly alleviate smartphone addiction among university students.

QSPR study of polychlorinated diphenyl ethers by molecular electronegativity distance vector (MEDV-4).

Polychlorinated diphenyl ethers (PCDEs) have received more and more concerns as a group of ubiquitous potential persistent organic pollutants (POPs). By using molecular electronegativity distance vector (MEDV-4), multiple linear regression (MLR) models are developed for sub-cooled liquid vapor pressures (P(L)), n-octanol/water partition coefficients (K(OW)) and sub-cooled liquid water solubilities (S(W,L)) of 209 PCDEs and diphenyl ether. The correlation coefficients (R) and the leave-one-out cross-validation (LOO) correlation coefficients (R(CV)) of all the 6-descriptor models for logP(L), logK(OW) and logS(W,L) are more than 0.98. By using stepwise multiple regression (SMR), the descriptors are selected and the resulting models are 5-descriptor model for logP(L), 4-descriptor model for logK(OW), and 6-descriptor model for logS(W,L), respectively. All these models exhibit excellent estimate capabilities for internal sample set and good predictive capabilities for external samples set. The consistency between observed and estimated/predicted values for logP(L) is the best (R=0.996, R(CV)=0.996), followed by logK(OW) (R=0.992, R(CV)=0.992) and logS(W,L) (R=0.983, R(CV)=0.980). By using MEDV-4 descriptors, the QSPR models can be used for prediction and the model predictions can hence extend the current database of experimental values.