Association between paediatric eye injuries, later academic success and social performance.

Aim: To investigate an association between eye injury and later academic and social performance. Materials: A retrospective longitudinal study of taking measurements multiple times was conducted including all severe eye injuries admitted during 2011-2017 at the main regional clinic to investigate changes in academic success and social inclusion before and after an injury. Parents/caregivers were surveyed asking questions on academic performance, and community/social involvement. In 2023 data on employment status were obtained. Kappa (ĸ) and non-parametric Wilcox-on signed-rank test for multiple comparisons were used. For association of employment status and post-injury visual acuity Fisher score was tested. Results: The total sample for assessing social inclusion and academic success was 36 and 25 children, respectively. In the following academic year ĸ agreements decreased from 0.88 (p<0.001) comparing pre-injury with a one-year post to 0.5106 (p<.0001) in the second year and 0.4750 (p=0.003) in the third, suggesting a deteriorating trend. A comparison of academic success before injury to two and three years after injury showed the trend significantly worsening with time (p=0.005, and 0.003, respectively). No association between an eye injury and social inclusion, as well as between employment and final visual acuity was noticed. Conclusion: Our findings suggest no association between social inclusion, employment, and eye trauma, while in later years academic success may be more impacted by the eye injury. Due to eye injury unpredictability in childhood age, both an informed and supportive climate environment at home and school is essential to minimize deleterious responses to eye trauma.

Gamifying accelerometer use increases physical activity levels of individuals pre-disposed to type II diabetes.

Physical activity is important for preventing obesity and diabetes, but most obese and pre-diabetic patients are not physically active. We developed a Fitbit-based game called MapTrek that promotes walking. We recruited obese and pre-diabetic patients. Half were randomly assigned to the control group and given a Fitbit alone. The others were given a Fitbit plus MapTrek. The MapTrek group participated in 6 months of weekly virtual races. Each week, participants were placed in a race with 9 others who achieved a similar number of steps in the previous week's race. Participants moved along the virtual route by the steps recorded on their Fitbit and received daily walking challenges via text message. Text messages also had links to the race map and leaderboard. We used a Bayesian mixed effects model to analyze the number of steps taken during the intervention. A total of 192 (89%) participants in the control group and 196 (91%) in the MapTrek group were included in the analyses. MapTrek significantly increased step counts when it began: MapTrek participants walked almost 1,700 steps more than the control group on the first day of the intervention. We estimate that there is a 97% probability that the effect of MapTrek is at least 1,000 additional steps per day throughout the course of the 6-month intervention and that MapTrek participants would have walked an additional 81 miles, on average, before the effect ended. Our MapTrek intervention led to significant extra walking by the MapTrek participants.

The Risk and Protective Factors for Pediatric Eye Injuries: A Case-Crossover Study.

Purpose: To investigate state- and trait-like risk factors leading to childhood eye injuries controlling for the between-subject difference. This study measured socioeconomic, environmental, behavioral, and injury event characteristics to identify eye injury protective and risk factors.Methods: A retrospective case-crossover study including patients aged 0-18 years old (y.o.) with severe eye trauma treated at the Canton Hospital Zenica between 2011 and 2017 was conducted. One case time point was at the time of injury, and two control time points 1 month before the injury and a month before the survey.Results: Of 36 patients meeting the criteria, four were excluded, resulting in 32 cases and 64 controls. The mean age was 10.79 in males (77.8%) and 11 y.o. in females (22.2%). In univariate GEE logistic regression unusual activity had odds of 17.25 (95%CI = 6.97, 42.70), working/chores vs.running activity odds of 6.60 (95%CI = 1.71, 25.46), very active level vs.an intermediate child activity level odds of 5.26 (1/0.19, 95%CI = 1.75, 16.67) no supervision odds of 2.63 (1/0.38, 95%CI = 1.45, 4.76) and less than 7 hours of sleep odds of 4.69 (95%CI = 1.06, 20.77) of sustaining an eye injury. Using the quasi-likelihood approach and QICu as an indicator, the best model yielded odds of getting eye injured = 0.59 + 19.35*engaging in unusual activity+0.21*supervised by an adult person+0.84*playing+3.04*working within the households+0.22*other activity.Conclusions: Giving the best model to predict injuries, the combined strategies of teaching, modifying the environment, and the watchful supervision present a preventive triad that needs to be further explored and encouraged in practice.