Prevalence and Determinants of Fatigue among Private High School Students in Bogor Tengah Sub-District, Indonesia, 2016 [Prevalensi dan Determinan Kelelahan Siswa SMA Swasta di Kecamatan Bogor Tengah, Indonesia, 2016] (original) (raw)
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Scholar fatigue should be carefully evaluated to be able to interfere when needed. Goals: the evaluation of differences/similarities regarding fatigue at pupils studying at different. High schools. Material and methods: the study was done on a group of 237 teenagers studying at 3 different high schools in Iasi: Sport high school (75 teenagers), Music High school (73 students) and Grammar School (89 students). The pupils had to fill in a questionnaire regarding the emersion of fatigue. The results were analysed using the Pearson CHI Square test. Results and discussions: in 45.99% of cases, students are often tired, the calculated differences being statistically significant for a p<0.01 (f=4, χ²=15.500), fatigue being often acknowledged by Grammar School teenagers. The phenomenon appears in the middle of the week (48.10% ,p>0.001 f=4, χ²=20.862) and at midday (43.03%, p<0.01, f=4, χ²=11.738). The statistically significant differences show a high frequency of positive answer...
Scholar fatigue should be carefully evaluated in order to interfere when necessary. Goals: the evaluation of the differences/similarities regarding fatigue in pupils studying at different high schools. Material and methods: the study was conducted with a group of 237 teenagers studying at three different high schools in Iasi: the Sport High School (75 teenagers), the Music High School (73 students) and the Grammar School (89 students). The pupils completed a questionnaire regarding the emergence of fatigue. The results were analysed using the Pearson CHI Square test. Results and discussions: in 45.99% of cases students were often tired, the calculated differences being statistically significant for a p<0.01 (f=4, χ²=15.500); fatigue was often acknowledged by the grammar school teenagers. The phenomenon appeared in the middle of the week (48.10% p>0.001 f=4, χ²=20.862) and at midday (43.03%, p<0.01, f=4, χ²=11.738). The statistically significant differences show a high frequency of positive answers for grammar school students. One of the factors favouring the appearance of fatigue was the low number of sleeping hours (6-7 hours in 75.94%). The calculated differences were statistically significant for a p<0.001 (f=4, χ²=21.716) and show a high frequency of grammar school teenagers who have little sleep. Conclusions: the appearance of fatigue is different for each high school, which demonstrates specific details of the various features of teenagers’ loads.