People with dyssomnia showed increased vulnerability to CoVID-19 pandemic: a questionnaire-based study exploring the patterns and predictors of sleep quality using the latent class analysis technique in Indian population

Radhakrishnan, Arathi; Govindaraj, Ramajayam; Sasidharan, Arun; Ravindra, PN; Yadav, Ravi; Kutty, Bindu M.

doi:10.1016/j.sleep.2020.12.041

Cited by 6 publications

(4 citation statements)

References 94 publications

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“…The present study aimed at assessing the sleep pattern changes and level of fatigue in a community sample of COVID-19 positive adults and attempted to determine the association of various demographic and lifestyle factors on their sleep and fatigue levels. Many of the study results supported the previous research studies conducted across the globe [ 37 – 40 ], with consistent findings indicating a strong association of demographic and lifestyle factors influencing sleep and fatigue, and a clear link indicating sleep problems before getting affected with COVID and sleep quality, and with sleep quality and fatigue. The present study results are organized as an interpretation of the study results for the following research questions of the study (a) What is the pattern of sleep and fatigue among COVID-19 positive adults in the community?…”

Section: Discussionsupporting

confidence: 87%

Sleep Pattern Changes and the Level of Fatigue Reported in a Community Sample of Adults During COVID-19 Pandemic

John¹,

Marath²,

Valappil³

et al. 2022

Sleep Vigilance

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Purpose The study aimed to (a) assess the sleep pattern changes and the level of fatigue among COVID positive adults (b) determine the association of sociodemographic and lifestyle factors ( age, gender, marital status, occupation, income, exercise, nap, diet, and comorbidities ) on sleep pattern and level of fatigue c) examine the relationship between sleep and fatigue, and between sleep problems, sleep quality and fatigue, among a community sample of COVID-19 affected adults. Methods A non-experimental, descriptive, cross-sectional survey design was used. Participants were adults, between 18 and 63 years (n = 782) , who tested positive for COVID-19 infection using RT–PCR or Antigen test, confined to home quarantine/under observation, and without any complications. Data was collected using the socio-demographic-sleep and related activity questionnaire, Fatigue Assessment Scale, and Sleep Quality Scale. Results A majority of the participants reported either mild to moderate sleep quality problems (97.31%) and 377 of them (48.21%) reported fatigue levels. A significant association between sleep quality and fatigue with gender, and lifestyle factors such as sleep duration, food intake, napping, exercise pattern, and influence of COVID-19 on livelihood after being affected with COVID-19, and time of experiencing sleep problems after COVID-19 infection (all, p ˂ 0.01) were observed, as well as age with sleep quality. Poor sleep quality and fatigue were significantly correlated with each other, and also with sleep problems before being affected with COVID-19 ( p = 0.000). Conclusions The study has shown that COVID-19 has an effect on an individual's demographic factors and a multitude of lifestyle factors, and highlights the need for post-COVID-19 monitoring even after recovery from the disease.

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Section: Discussionsupporting

confidence: 87%

Sleep Pattern Changes and the Level of Fatigue Reported in a Community Sample of Adults During COVID-19 Pandemic

John¹,

Marath²,

Valappil³

et al. 2022

Sleep Vigilance

View full text Add to dashboard Cite

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“…It has been found that the body's ability to respond to a viral infection is extremely important, which depends on various factors, including variants of the virus, implemented vaccinations, general health of the patient, individual predispositions or behavior related to lifestyle. Recognized beneficial factors for a healthy lifestyle include eating a healthy diet [16] , maintaining a healthy body weight, avoiding stress [17] , getting enough sleep [18] , and exercising regularly [19] .…”

Section: Introductionmentioning

confidence: 99%

Do selected lifestyle parameters affect the severity and symptoms of COVID-19 among elderly patients? The retrospective evaluation of individuals from the STOP-COVID registry of the PoLoCOV study

Kapusta

Chudzik

Kałuzińska

et al. 2023

Journal of Infection and Public Health

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“…AIC BIC, Maximum Log-likelihood, entropy, and posterior probability are the most commonly used evaluation indexes in selecting the optimal latent class model. Most previous studies applied no more than three of the five common evaluation indexes ( 26 – 28 ). We selected the optimal model using all five evaluation indexes for a more reliable and comprehensive evaluation.…”

Section: Discussionmentioning

confidence: 99%

A study on differences about the influencing factors of depressive symptoms between medical staff and residents during 2022 city-wide temporary static management period to fighting against COVID-19 pandemic in Shanghai

Zhao

Tao²,

Bao³

et al. 2023

Front. Public Health

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ObjectivesOur study aimed to identify the latent class of depressive symptoms in the Shanghai population during the city-wide temporary static management period and compare differences in the factors influencing depressive symptoms between medical staff and residents.MethodsAn online cross-sectional survey was conducted with 840 participants using questionnaires, including Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), Pittsburgh Sleep Quality Index (PSQI), and self-compiled questionnaire (demographic characteristics and internet usage time). Latent class analysis (LCA) was performed based on participants' depressive symptoms. The latent class subgroups were compared using the chi-square test and t-test. Logistic regression was used in our study to analyze the factors influencing depressive symptoms within the medical staff group and residents group and then compare their differences.ResultsTwo distinct subgroups were identified based on the LCA: the group with low-depressive symptoms and the group with high-depressive symptoms. There were significant differences between the two groups (P < 0.05) on age, education level, marital status, internet usage time, identity characteristics (medical staff or residents), family income level, living style, overall quality of sleep, and anxiety levels. Furthermore, logistic regression analysis results showed that compared with the residents group, the participants in the group of medical staff with “increasing internet usage time” and the “daytime dysfunction” would have nearly two times the possibility of getting serious depressive symptoms.ConclusionsThere are differences in the factors influencing depression symptoms between medical staff and residents during the 2022 city-wide temporary static management period to fighting against the COVID-19 pandemic in Shanghai. We should pay special attention to those with increasing internet usage time and daytime dysfunction in medical staff working in a special environment such as the COVID-19 pandemic.

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People with dyssomnia showed increased vulnerability to CoVID-19 pandemic: a questionnaire-based study exploring the patterns and predictors of sleep quality using the latent class analysis technique in Indian population

Cited by 6 publications

References 94 publications

Sleep Pattern Changes and the Level of Fatigue Reported in a Community Sample of Adults During COVID-19 Pandemic

Sleep Pattern Changes and the Level of Fatigue Reported in a Community Sample of Adults During COVID-19 Pandemic

Do selected lifestyle parameters affect the severity and symptoms of COVID-19 among elderly patients? The retrospective evaluation of individuals from the STOP-COVID registry of the PoLoCOV study

A study on differences about the influencing factors of depressive symptoms between medical staff and residents during 2022 city-wide temporary static management period to fighting against COVID-19 pandemic in Shanghai

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