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Background: Internet addiction (IA) among university engineering students and its association with psychological distress can impact their educational progress, academic competence, and long-term career goals. Thus, there is a need to investigate the IA among engineering students. Objectives: This study was a first such attempt to explore internet use behaviors, IA, among a large group of engineering students from India, and its association with psychological distress primarily depressive symptoms. Methods: One thousand eighty six engineering students aged 18–21 years pursuing bachelors in engineering from the south Indian city of Mangalore participated in the study. The socio-educational and internet use behaviors data sheet was used to gather demographic information and patterns of internet use, Internet Addiction Test (IAT) was utilized to assess IA, and Self-Report Questionnaire (SRQ-20) assessed psychological distress primarily depressive symptoms. Results: Among the total N = 1086, 27.1% of engineering students met criterion for mild addictive internet use, 9.7% for moderate addictive internet use, and 0.4% for severe addiction to internet. IA was higher among engineering students who were male, staying in rented accommodations, accessed internet several times a day, spent more than 3 h per day on internet, and had psychological distress. Gender, duration of use, time spent per day, frequency of internet use, and psychological distress (depressive symptoms) predicted IA. Conclusions: A substantial proportion of engineering students have IA which can be detrimental for their educational progress in university studies and long-term career goals. Early identification and management of IA and psychological distress among engineering students is crucial.

Aims. The purpose of this pilot trial was to determine the efficacy of sleep promotion program to adapt it for the use of adolescents studying in various schools of Mangalore, India, and evaluate the feasibility issues before conducting a randomized controlled trial in a larger sample of adolescents. Methods. A randomized controlled trial design with stratified random sampling method was used. Fifty-eight adolescents were selected (mean age: 14.02 ± 2.15 years; intervention group, n = 34; control group, n = 24). Self-report questionnaires, including sociodemographic questionnaire with some additional questions on sleep and activities, Sleep Hygiene Index, Pittsburgh Sleep Quality Index, The Cleveland Adolescent Sleepiness Questionnaire, and PedsQL™ Present Functioning Visual Analogue Scale, were used. Results. Insufficient weekday-weekend sleep duration with increasing age of adolescents was observed. The program revealed a significant effect in the experimental group over the control group in overall sleep quality, sleep onset latency, sleep duration, daytime sleepiness, and emotional and overall distress. No significant effect was observed in sleep hygiene and other sleep parameters. All target variables showed significant correlations with each other. Conclusion. The intervention holds a promise for improving the sleep behaviors in healthy adolescents. However, the effect of the sleep promotion program treatment has yet to be proven through a future research. This trial is registered with ISRCTN13083118.

Background and objectives: Autism Spectrum Disorder (ASD) is a complex neuro-developmental disorder and it has been suggested that symptoms of ASD are associated with neural networks that regulate the Autonomic Nervous System (ANS). However, the nature of autonomic atypicalities in ASDs remain largely unknown. Measures like Heart Rate Variability (HRV) and urinary Vanillylmandelic Acid (VMA) estimation are sensitive and non-invasive physiological and biochemical indicators of autonomic nervous activity. This study aimed to compare the physiological and biochemical autonomic indices in children with and without ASD. Materials and Methods: In this case-control study, 40 children with autism and 40 Typically Developing (TD) children were recruited. Measures of physiological autonomic index were assessed by the analysis of short term HRV, and the urinary levels of VMA estimation was used as a biochemical autonomic index. Results: Cardiac sympathetic activity assessed by Low Frequency (nu) of HRV was significantly higher in the ASD group in comparison with the TD group (p = 0.006). On the contrary, both the High Frequency (abs) and (nu) of HRV were found to be significantly lower in autistic children (p = 0.034 and p = 0.000) than controls. Autistic children also exhibited a significantly higher level (p = 0.049) of VMA concentration compared to TD children. Conclusion: The study concludes that children with ASD exhibit lower cardio-vagal activity as measured by HRV and increased sympathetic activity as assessed by urinary VMA compared to that of TD children. The core autistic symptoms exhibited by children with ASD could be due to the differences in baseline arousal or stress which might be associated with autonomic dysfunction. Further studies are needed to examine the association of this autonomic dysregulation with ASD symptoms and comorbidities.

Background:Excessive internet use, psychological distress, and its inter-relationship among university students can impact their academic progress, scholastic competence, career goals, and extracurricular interests. Thus, a need exists to evaluate the addictive internet use among university students.Objectives:This study was set up to examine the internet use behaviors, internet addiction (IA), and its association with psychological distress primarily depression among a large group of university students from South India.Methods:Totally 2776 university students aged 18–21 years; pursuing undergraduate studies from a recognized university in South India participated in the study. The patterns of internet use and socioeducational data were collected through the internet use behaviors and demographic data sheet, IA test (IAT) was utilized to assess IA and psychological distress primarily depressive symptoms were evaluated with Self-Report Questionnaire-20.Results:Among the total n = 2776, 29.9% (n = 831) of university students met criterion on IAT for mild IA, 16.4% (n = 455) for moderate addictive use, and 0.5% (n = 13) for severe IA. IA was higher among university students who were male, staying in rented accommodations, accessed internet several times a day, spent more than 3 h per day on the Internet and had psychological distress. Male gender, duration of use, time spent per day, frequency of internet use, and psychological distress (depressive symptoms) predicted IA.Conclusions:IA was present among a substantial proportion of university students which can inhibit their academic progress and impact their psychological health. Early identification of risk factors of IA can facilitate the effective prevention and timely initiation of treatment strategies for IA and psychological distress among university students.