Association of social jetlag with sleep, breakfast jetlag, and other daily behaviors in Indian population

Dwivedi, Anshu; Jaiswal, Saurabh; Kumar, Ashok; Malik, Shalie; Rani, Sangeeta

doi:10.31305/rrijm.2021.v06.i04.016

Cited by 2 publications

(3 citation statements)

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“…The social media, every news channel was having coverage of deaths due to COVID-19 which was one of the major reasons for the depression during unlock. At last, we can say that the second wave of COVID-19 has significantly impacted the daily behaviors and mental health of the general Indian population as it was earlier in the first wave of COVID-19 17 .…”

Section: Discussionmentioning

confidence: 97%

The unlock consequences: changes in daily behaviors and mental health in Indian population during the second wave of COVID-19

Dwivedi¹,

Malik²,

Rani³

2022

Sleep Sci

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Objectives:The COVID-19 outbreak has led to unprecedented changes throughout the world. It has imposed lockdown, social distancing to avoid the spread of this disease. India in the middle of March 2021 reported the beginning of the second wave of corona leading to massive death. We hypothesized to investigate the effect of sleep and eating behavior also got affected during unlock imposed due to the second wave. Material and Methods: The data collection was done by using an online google form by making them available to participants through various social media apps via smartphone. Total participants (n=115) mean age was 25.86±9.52 (Mean±SD). The results were analyzed by using RM One-Way ANOVA, Pearson correlation test by using SPSS 26. Results: We found that the sleep behavior including time to sleep which was delayed by 46min, time to wake up was 58min, and sleep duration was increased by 6min during the unlock days when compared with weekdays before unlock. The eating behavior during unlock including the time of breakfast, lunch, and dinner was delayed by 1-hour 3min, 23min, and 19min, respectively. The social jetlag was reduced by 6min and eating jetlag was increased by approximately 8.4min. We found a strong positive correlation between eating jetlag and social jetlag during unlock (r=0.262, p<0.005). Conclusion: Our findings can help in modifying irregular sleep and unhealthy eating behaviors into a good and healthy lifestyle which will, in turn, lead to a depression-free lifestyle during unlock/lockdown due to the COVID-19 pandemic.

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Section: Discussionmentioning

confidence: 97%

The unlock consequences: changes in daily behaviors and mental health in Indian population during the second wave of COVID-19

Dwivedi¹,

Malik²,

Rani³

2022

Sleep Sci

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“…The time is written in hours (hr: hr). In addition, based on age the subjects were assigned to one of the following four groups: Group A (age 18-21), Group B (age 22-25), Group C (age 26-29), Group D (age [30][31][32][33]. The data analysis and graph preparation were performed using Statistical Package for the Social Sciences (SPSS) 26.0 (IBM Corporation, NY, USA) and GraphPad Prism Software version 8.0, San Diego, USA.…”

Section: Discussionmentioning

confidence: 99%

“…"Key sleep parameters, such as sleep start and end and duration were also calculated for both before and during restrictions. The participants were divided into two groups: the presence of social jetlag (>1 h) and the absence of social jetlag (<1 h) in the participants, respectively" [30].…”

Section: Micro-munich Chronotype Questionnaire (µ-Mctq)mentioning

confidence: 99%

Variation in Sleep Traits in the Indian Population During Social Restriction

Jaiswal,

Soni,

Yadav

et al. 2024

AJMAH

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Aim: We conducted this study to investigate the impact of social restrictions on chronotype categories, social jetlag, and sleep parameters in the Indian population. Materials and Methods: A cross-sectional study was conducted in 2021 with 139 participants. We used an online questionnaire (Google Form) enclosing respondents' sociodemographic information Social jetlag and sleep parameters were measured with the µ-MCTQ and chronotype was assessed by the r-MEQ. Chi-square, paired t-tests, and One-way ANOVA were used to analyse the data. Pearson correlation was used to determine the strength of the relationship between the variables. Results: Our results highlighted that a total of 23.8% of volunteers reported social jetlag before social restriction and it significantly reduced to 13.7% (P = .001) in the social restricted condition. There is no significant difference in sleep duration during the workday and free days of socially restriction (P = .11). We found a difference between midsleep free day (MSf) and midsleep free day corrected (MSfsc) (mean of 13 min before restrictions (P = .05) and 10 min during restrictions; P = .001). Conclusion: Our findings provide crucial insights into variations in sleep/wake schedule stability, as seen by changes in the decrease of social jetlag between restriction. It was established that the individuals had significantly equivalent total sleep at both time points, as well as a later sleep-wake time under the social restriction.

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Association of social jetlag with sleep, breakfast jetlag, and other daily behaviors in Indian population

Cited by 2 publications

References 0 publications

The unlock consequences: changes in daily behaviors and mental health in Indian population during the second wave of COVID-19

The unlock consequences: changes in daily behaviors and mental health in Indian population during the second wave of COVID-19

Variation in Sleep Traits in the Indian Population During Social Restriction

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