Aggarwal Disha, Das Amiti, Krishna S Teja Rama, Hyndavi Sai, Palepu Sarika, Kumar Santosh
Community and Family Medicine, AIIMS, Rishikesh, Uttarakhand, India.
Department of Community and Family Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
J Family Med Prim Care. 2024 Jul;13(7):2761-2766. doi: 10.4103/jfmpc.jfmpc_1915_23. Epub 2024 Jun 28.
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.
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.
A cross-sectional study through an online Google Form questionnaire was conducted among the Indian population.
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).
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.
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 value of 0.001. Multivariate logistic regression analysis indicated that increasing age was significantly associated with lower levels of screen time.
Screen time showed a significant association with insomnia. Less screen time was reported with increased age.
在2019年冠状病毒病(COVID - 19)大流行期间,屏幕使用时间显著增加,每天从2.5小时到7.5小时不等。科学证据表明,数字媒体使用增加与压力、焦虑和抑郁水平升高之间存在密切关联。研究表明,儿童和青少年每天屏幕使用时间达四小时或更长时间会使出现抑郁症状的可能性提高46%至80%。尽管如此,关于成年人屏幕使用时间、身体活动不足和失眠之间复杂相互作用的医学证据仍然匮乏。
本研究的目的是估计COVID - 19大流行期间成年人屏幕使用时间增加、失眠和身体活动不足的患病率及其关联。
通过在线谷歌表单问卷对印度人群进行了一项横断面研究。
研究于2020年6月至8月进行,包括658名18岁及以上的参与者。采用链式抽样程序招募参与者,其中大多数为女性,占54%(355人)。
计算数值变量的均值和标准差,确定分类变量的百分比和比例。采用卡方检验来检验变量之间的关联。为评估屏幕使用时间的预测因素,进行了多因素逻辑回归分析。
大多数参与者报告每天屏幕使用时间超过2小时(85%)、有临床失眠症状(59%)、身体活动水平为中度至高度(92.8%)以及久坐行为水平较低(60.5%)。性别、年龄和屏幕使用时间等变量与失眠和身体活动存在显著关联。与屏幕使用时间相关的失眠比值比为2.84(95%置信区间:1.78 - 4.58),P值为0.001。多因素逻辑回归分析表明,年龄增长与屏幕使用时间减少显著相关。
屏幕使用时间与失眠存在显著关联。随着年龄增长,屏幕使用时间减少。