HUBUNGAN INTENSITAS GADGET TERHADAP KUALITAS TIDUR ANAK PRASEKOLAH DI PAUD
Keywords:
Gadget, Sleep Quality, ChildrenAbstract
Background and Aim : Gadgets have become an integral part of our lives, including children. Children now grow up surrounded by gadgets, which are often used for various purposes. However, this technological development raises concerns about its impact on children's development, especially at the age of 3-6 years. This study aims to determine the relationship of gadget use on the sleep quality of children aged 3-6 years at Bougenville Cawang Kindergarten.
Method: The research design is a cross-sectional study with a sample of 27 respondents selected using a saturation sampling technique. Saturation sampling is a sampling technique in which all members of the population are used as samples. This is done if the population size is relatively small, less than 30. Gadget usage intensity is measured using a gadget usage habit questionnaire and sleep quality is measured using the Pittsburgh Sleep Quality Index (PSQI). Data analysis was carried out including univariate and bivariate analysis with Chi square test.
Results: The results of this study showed that 27 children (100%) in the category of using gadgets for more than 1 hour, and 18.5% had good sleep quality, while 81.5% had poor sleep quality. This result was obtained from the results of a Chi square test that was significant with p = 0.042 < 0.05. The results of the correlation test between the variables of gadget intensity and sleep quality showed that there was a correlation coefficient
(R) of -0.649 between the variables. This can be interpreted as there is a negative correlation between the two variables, which means that the higher the gadget intensity, the lower the child's sleep quality, with a strong and significant relationship level because the sig. value is less than 0.05
Conclusions: The results of this study show that there is a significant influence between gadget use and sleep quality in children. Therefore, future researchers should conduct research on other variables.