Association between increased screen time, sedentary behavior, and insomnia among Indian adults: A cross-sectional nationwide online survey

Author:

Aggarwal Disha1,Das Amiti1,Krishna S Teja Rama2,Hyndavi Sai2,Palepu Sarika3,Kumar Santosh2

Affiliation:

1. Community and Family Medicine, AIIMS, Rishikesh, Uttarakhand, India

2. Department of Community and Family Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India

3. Department of Community and Family Medicine, Community and Family Medicine, AIIMS, Kalyani, Basantapur, West Bengal, India

Abstract

ABSTRACT Context: During the “coronavirus disease 2019 (COVID-19)” pandemic, screen time saw a notable increase, ranging from 2.5 to 7.5 hours per day. Scientific evidence has demonstrated a strong correlation between heightened digital media usage and heightened levels of stress, anxiety, and depression. Research indicates that engaging in screen time for four hours or more daily can elevate the likelihood of experiencing symptoms of depression among children and adolescents by 46–80%. Despite this, there remains a paucity of medical evidence elucidating the intricate interplay between screen time, physical inactivity, and insomnia in adults. Aim: The aim of the study was to estimate the prevalence of increased screen time, insomnia, and physical inactivity among adults and their association during the COVID-19 pandemic. Settings and Design: A cross-sectional study through an online Google Form questionnaire was conducted among the Indian population. Methods and Materials: The study was conducted between June and August 2020 and comprised 658 participants aged 18 and above. Participants were recruited using a chain sampling procedure, with the majority being female, accounting for 54% (355 individuals). Statistical Analysis: The mean and standard deviation were calculated for numerical variables, while percentages and proportions were determined for categorical variables. The Chi-square test was employed to examine associations between variables. For assessing the predictors of screen time, a multivariate logistic regression analysis was conducted. Results: The majority of participants reported screen time exceeding 2 hours per day (85%), clinical insomnia symptoms (59%), moderate to high physical activity levels (92.8%), and low levels of sedentary behavior (60.5%). Variables such as gender, age, and screen time demonstrated significant associations with insomnia and physical activity. The odds ratio for insomnia in relation to screen time was 2.84 (95% confidence interval: 1.78–4.58) with a P value of 0.001. Multivariate logistic regression analysis indicated that increasing age was significantly associated with lower levels of screen time. Conclusions: Screen time showed a significant association with insomnia. Less screen time was reported with increased age.

Publisher

Medknow

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3