Factors predicting screen time related to physical and behavioural complaints in primary school children

@#problems from extended usage of electronic devices areissues among primary school children. This study is aimedto investigate the prevalence of physical and behaviouralcomplaints arising from the electronic device usage and toidentify the potential factors that predicted the complaints.Methods: This was a primary school-based cross-sectionalstudy using multistage cluster sampling, conducted at Baudistrict in Sarawak, Malaysia in 40 primary schools. Aquestionnaire was used to collect information of usagepattern in insufficient lighting, timing and position. Thephysical and behavioural complaints were traced. Dataanalysis was performed using SPSS version 22. A p-value <0.05 with 95% CI was considered as statistically significant. Results: About 52.8% of the 569 students used digitaldevices in a bright room, 69.8% in the day time and 54.4% insitting position. The physical complaints were headache(32.9%), neck, shoulder and back pain (32.9%) followed by byeye strain (31.8%). Regarding behavioural problems, 25.7% ofthe students had loss of interest in study and outdooractivities (20.7%), skipped meals (19.0%) andarguments/disagreements with parents (17.9%). After logisticregression analysis, the lying position (OR=1.71, 95% CI:1.096, 2.688) and darkroom lighting (OR=2.323 95% CI: 1.138,4.744) appeared to be potential predictors of the complaint.Conclusion: One-quarter of the students studiedexperienced physical complaints, and one-fifth hadbehavioural problems associated with the use of electronicdevices. Lying position and darkroom lighting are thepotential predictors of complaints. Therefore, we suggestthat the children should use electronic devices in the sittingposition with adequate room lighting.

Logistic regression analysis on length of stay of critically fll patients in a tertiary hospital emergencydepartment / 中华急诊医学杂志

Objective To explore factors associated with emergency room(ER)length of stay and provide basis for the emergency managers about the development of relevant measures.Methods Data of critically ill patients from the emergency room in a tertiary teaching hospital from January 2010 to June 2011 were retrospectively studied.Binary Logistic regression analysis was used to determine possible factors and further compare the clinical characteristics of the patients.Results(1)From January 2010 to June 2011 a total of 11 468 patients were seen in the emergency department,the median ER length of stay was 11 h,a number of 6 525 patients(56.9％)stayed in ER more than 6 h.(2)Binary Logistic regression analysis showed that the main factors contributing to length of stay more than 6 hours were types of wards,green channel,treatment time,followed by admitted to ICU,traffic,sent by 120,the number of initial diagnosis,destinations of disposition,sex,holiday visit,visit month.While age,occupation,residence were not factors.Conclusions The patients in this hospital has a prolonged length of stay.The associated factors included types of wards,green channel,treatment time deserves a further study.