Interplay of &amp;#147;rest,&amp;#148; &amp;#147;internet,&amp;#148; and &amp;#147;diet&amp;#148; and on academic performancemedical students' perspective

Dutt, R. Aswini; Manippady, Bhima Bhat; Bangera, Shobith; Paneerselvam, Prakash; Gonsalves, James

doi:10.5455/njppp.2016.6.0615429062016

Cited by 1 publication

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“…A growth in fast food habits has adverse effects on personal health (Al-Saad, 2016), and such practices are negatively correlated with the use of technology (Chowdhury et al, 2018). Research findings show that Internet users have unfortunate eating habits (Kim et al, 2010), have negative impacts on academic performance (Dutt et al, 2016) and contribute on mental health (Joshi, Singh & Neupane, 2021). It has been found that the TV watching habits of individuals have a negative impact on food intake (Mathur & Stevenson, 2015), leading to unhealthy eating habits (Harris & Bargh, 2009) and fruit eating habits (Costa et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Effects of Using Digital Devices on Food Consumption among University Students in Nepal

et al. 2021

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Food consuming behavior is a concern for good physiological, physical, psychological, and social health. An unbalanced eating habit may be related to several factors. The objective of the study was to investigate how the use of digital devices influences graduate students’ eating behavior. A cross-sectional study was conducted among 320 Masters of Philosophy (MPhil) scholars of Nepal Open University through an online survey. A Chi-square test and a binary logistic regression model were fitted to find the effect of digital devices on food consumption. There was a significant association between the duration of using a mobile phone, computer, and TV with the quantity of food consumed, preferred time of using a laptop with the quantity of food consumed, and the sitting position during the use of digital devices with the quantity of food consumed. The logistic regression model showed that individual’s sitting positions while using digital devices were significant predictors of food consumption at a 95% confidence level.

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