Lifestyle factors and internet addiction among school children

Abstract

AimThe aim was to determine the association between internet addition [IA] and fatigue, sleep disturbance, depression, and life style factors among school children.Subjects and methodsA cross-sectional survey based on multistage stratified random sampling and 1188 students (73.3%) gave consent during October 2011 to December 2012. Data including socio-demographic details, lifestyle and dietary habits Internet Addiction Test (IAT), Fatigue Scale, Epworth Sleepiness Scale [ESS] and Beck Depression Inventory (BDI) test. Univariate and multiple logistic regression analysis were performed.ResultsThe overall prevalence of IA among school children was 19.8%. The proportion of IA was significantly more among males (56.4%) as compare to females (43.6%; P = 0.035), school performance (P < 0.001) and family income (P = 0.032). Those with IA had significantly less number of sleep hours (6.16 ± 0.80 vs. 6.58 ± 1.29; P < 0.001) as compared to normal. Those with IA had significantly high number of hours internet use (3.82 ± 1.64 vs. 3.03 ± 1.64; P < 0.001) as compared to normal. A significantly larger proportion of IA than normal subjects reported having headaches (P = 0.010), double vision (P = 0.037), eye hurt (P = 0.021), eye tired (P = 0.005), dizziness (34.4% vs. 27.3%; P = 0.002), fatigue, and hearing problem (P = 0.048). A significantly larger proportion of students with IA most frequently gratifying site (19.9% vs. 11.6%; P < 0.001), browsed games (38.6% vs. 29.9%; P = 0.010), chat sites (29.7% vs. 22%; P = 0.013), email (54.2% vs. 63.1%; P = 0.36), and research (61.0% vs. 69.2%; P = 0.017).ConclusionThe current study confirmed the of evidence linking problematic internet use with negative fatigue, greater numbers of symptoms, anxiety, sleeping disturbances, depressive and lifestyle risk factors, among vulnerable young children.Disclosure of interestThe authors have not supplied their declaration of competing interest.