Early Impact of Lockdown on Daily Activity Behaviors and Sleep Pattern in Small Indian Population
Asian Journal of Medicine and Health,
Objectives: Lockdown has resulted in unprecedented changes in daily behaviors including depression. We hypothesized that the lockdown would impact our daily behavior such as sleep-wake cycle, eating time, physical activities, work hours, sleep quality, etc. We also observed the depression among the population during the lockdown.
Methods: This is a cross-sectional study was conducted after one month of the imposition of the lockdown (between April 26 – May 05, 2020) by an online questionnaire designed using a google form filled by individuals from different professions (N=251). The analysis was performed using one-way RM ANOVA followed by Bonferroni’s multiple analysis post hoc test. Significance was taken at P< 0.0001.
Results: The sleep-wake cycle, breakfast time was significantly delayed during the lockdown compared to weekdays before lockdown days. Total 60% of volunteers reported good sleep, 32% had increased daytime nap, maximum time spent in the usage of social media 29%, and 79% showed increased usage of electronic gadgets. The physical activity and work hours were reduced to 57% and 58% respectively. It seems that lockdown forced people to undergo depression as 54% were depressed.
Conclusion: This is the first study to conclude the changes in daily behaviors including depression. Overall, delay in the sleep-wake cycle, breakfast timings, increased sedentary lifestyle, reduction in their work hours, addiction of electronic gadgets, spending maximum time on social media with increased depression. This study is helpful for the public health systems to create awareness regarding the sleep and health improvements during as well as after lockdown.
- daily behaviors
- and perception regarding the lockdown
How to Cite
Golombek D, Rosenstein R. Physiol circadian entrain 2. 2010;1063–102.
Sidor A, Rzymski P. Dietary choices and habits during COVID-19 lockdown: Experience from Poland. Nutrients. 2020;12:1657.
Curcio G, Ferraraa M, Luigi De Gennaroa. Sleep loss, learning capacity and academic performance. Sleep Medicine Reviews. 2006;10:323–337.
Qiu J, Shen B, Zhao M, Wang Z, Xie B, Xu Y. A nationwide survey of psychological distress among Chinese people in the COVID-19 epidemic: Implications and policy recommendations. Gen Psychiatry. 2020;33:e100213.
Blume C, Schmidt MH, Cajochen C. Effects of the COVID-19 lockdown on human sleep and rest-activity rhythms. Curr Biol. 2020;30:R795–R797.
Srivastava AK, Dwivedi N, Dhand C, Khan R, Sathish N. Can graphene-based materials play a role in the fight against COVID-19? Science reporter. 2020;00:32-35.
Varshney M, Parel JT, Raizada N, Sarin SK. Initial psychological impact of COVID-19 and its correlates in Indian Community : An online. PLoS One. 2020;15(5):e0233874.
Gautam R, Sharma M. 2019-nCoV pandemic: A disruptive and stressful atmosphere for Indian academic fraternity. Brain Behav Immun; 2020.
Wang C, Pan R, Wan X, Tan Y, Xu L, Ho CS, Ho RC. Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among the General Population in China. Int J Environ Res Public Health. 2020;17(5):1729.
Gao J, Zheng P, Jia Y, Cjen H, Mao Y, Chen S, et al. Mental health problems and social media exposure during COVID-19 outbreak. PLoS One. 2020;15(4):e0231924.
Majumdar P, Biswas A, Sahu S. COVID-19 pandemic and lockdown: cause of sleep disruption, depression, somatic pain, and increased screen exposure of office workers and students of India. Chronobiol Int. 2020;00:1–10.
Jr KPW, Linton SK, Withrow D, Casiraghi L, Lanza SM, Iglesia HDe, et al. Sleep in university students prior to and during COVID-19 Stay-at-Hom orders. Curr Biol. 2020;30:R783–R801.
Korman M, Tkachev V, Reis C. et al. COVID-19-mandated social restrictions unveil the impact of social time pressure on sleep and body clock. Sci Rep. 2020;10:22225.
Borbély AA, Daan S, Wirz-Justice A, Deboer T. The two-process model of sleep regulation: A reappraisal. J Sleep Res. 2016;25:131–143.
Montemurro N. The emotional impact of COVID-19 : From medical staff to common people. Brain Behavior and Immunity. 2020;00:0889-1591.
Hood MM, Reutrakul S, Crowley SJ. Night eating in patients with type 2 diabetes. Associations with glycemic control, eating patterns, sleep, and mood. Appetite. 2014;79:91–96.
Füzéki E, Groneberg DA, Banzer W. Physical activity during COVID-19 induced lockdown: Recommendations. J Occup Med Toxicol. 2020;15:25.
Roenneberg T, Kantermann T, Juda M, Vetter C, Allebrandt KV. Light and the human circadian clock. Handb Exp Phar- macol. 2013;217:311–31.
Robinson E, Boyland E, Chisholm A, Harrold J, Maloney NG, Marty L et al. Obesity, eating behavior and physical activity during COVID-19 lockdown: A study of UK adults. Appetite. 2020;156:104853.
Cao W, Fang Z, Hou G, Han M, Xu X, Dong J, Zheng J. The psychological impact of the COVID-19 epidemic on college students in China. Psychiatry Res. 2020;287:112934.
Wang C, Pan R, Wan X, Tan Y, Xu L, Mcintyre RS, et al. A longitudinal study on the mental health of general population during the COVID-19 epidemic in China. Brain Behav Immun. 2020;87:40–48.
Wang C, Pan R, Wan X, Tan Y, Xu L, Ho CS, Ho RC. Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. Int J Environ Res Public Heal. 2020;17:1729.
Gopal A, Sharma AJ, Subramanyam MA. Dynamics of psychological responses to COVID-19 in India: A longitudinal study. PLoS One. 2020;15:20.
Hoefer M, Allison SC, Schauer GF, Neuhaus JM, Hall J, Dang JN, et al. Fear conditioning in frontotemporal lobar degeneration and Alzheimer’s disease. Brain. 2008;131:1646–1657.
Orzech KM, Grandner MA, Roane BM, Carskadon MA. Digital media use in the 2 h before bedtime is associated with sleep variables in university students. Comput Human Behav. 2016;55(A):43–50.
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