Sleep Disorder During the Third Wave of COVID-19 Pandemic among Malaysian Adults

Marzo, Roy Rillera; Shekhawat, Kuldeep Singh; Chauhan, Shekhar; Patel, Ratna; Kyaw, Thin Mon; Amran, Balqis binti; Mat, Muhammad Alif Isyraff bin; Villasini, A; Rajendiran, P; Noor, Muhamad; Acharya, Swosti; Shrestha, Sunil

doi:10.21203/rs.3.rs-596311/v1

Cited by 2 publications

(2 citation statements)

References 45 publications

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“…Exposure to such stressors may contribute to triggering anxiety, negatively impacting sleep quality (Alwhaibi and Al Aloola, 2023). Moreover, the literature also states that the sleep quality of the working population can be influenced by socioeconomics (Anders et al, 2014), occupational (Marzo et al, 2021) and lifestyle factors (Madrid-Valero et al, 2017;Touyz et al, 2020;Jeong et al, 2021;Micheletti Cremasco et al, 2021;Robillard et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Poor sleep quality and its associated factors among working adults during COVID-19 pandemic in Malaysia

Aye,

Lee

2024

Camb. prisms Glob. ment. health

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Background In Malaysia, a nationwide movement control order (MCO), implemented to curb the COVID-19 spread, impacted on the lives of the working population which could impair sleep quality. Objective This study aims to find the sleep quality status and its association with the socioeconomic, employment and lifestyle factors of working adults during the MCO period. Methods A cross-sectional study was conducted among 500 eligible working adults. Data were collected using a structured questionnaire consisting of the Pittsburg Sleep Quality Index. Results The proportion of poor sleep quality is found to be 59.4%. Analysis shows that the use of electronic devices before sleep (OR = 2.33, 95% CI = 1.02–5.35, p-value = 0.046), increased amount of workload (OR = 0.45, p-value = 0.005), decreased in amount of workload (OR = 0.48, p-value = 0.003) and distracted while working (OR = 0.57, p-value = 0.014) are the factors significantly associated with and are predictors of poor sleep quality. Conclusion During crisis, there is a need for public health interventions for the working population to adopt a healthy lifestyle. Employers are recommended to support employees’ well-being and to provide a healthy workplace during challenging times. Policy recommendations are also made to implement flexible working arrangements, workload management, workplace mental health support and legal protections on reasonable working hours, rest breaks and time off during crises.

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Section: Introductionmentioning

confidence: 99%

Poor sleep quality and its associated factors among working adults during COVID-19 pandemic in Malaysia

Aye,

Lee

2024

Camb. prisms Glob. ment. health

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“…Malaysia was not exempt from the pandemic's negative impacts, with around 70% of surveyed individuals experiencing sleep disorders (Marzo et al, 2021). Among the most vulnerable were undergraduate students.…”

Section: Introductionmentioning

confidence: 99%

Association Between Sleep Quality and Academic Performance Among Private University Students During Covid-19 Endemic in Cyberjaya, Malaysia

2024

GJPHM

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Introduction: Malaysia was struck by the Covid-19 pandemicin 2020 which left a significant impact on the population. Since then, the aftereffects especially poor sleep quality are still affecting us. Thus, this study aims to assess the sleep quality of students at the University of Cyberjaya (UOC) post-COVID-19 pandemic and its relation to students' academic performance. This study aimed to assess any association between students' sociodemographic factors and sleep quality. This is a cross-sectional study where a convenience sampling technique was used. Methods:The study population consisted of 350 students comprised of those aged 18 years and above, and currently a student at the University of Cyberjaya while those that were diagnosed with health issues were excluded. A validated self-rated questionnaire, the Pittsburgh Sleep Quality Index (PSQI) was used to assess students' sleep quality. A global PSQI score holds a diagnostic sensitivity of 89.6% and a specificity of 86.5% to differentiate good and poor sleepers. Sociodemographic background questions of students' and respective semester cumulative grade point average (CGPA) were self-reported. Results:Our results revealed that 83.4% (292) of the students had poor sleep quality while 16.6% (58) had good sleep quality. However, there is no meaningful association between sociodemographic factors, sleep quality, and academic performance. Although, those with good academic performance had better sleep quality than those who achieved excellent grades. Conclusion:most UOC students reported poor sleep quality, but interestingly this does not affect their academic performance.

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Sleep Disorder During the Third Wave of COVID-19 Pandemic among Malaysian Adults

Cited by 2 publications

References 45 publications

Poor sleep quality and its associated factors among working adults during COVID-19 pandemic in Malaysia

Poor sleep quality and its associated factors among working adults during COVID-19 pandemic in Malaysia

Association Between Sleep Quality and Academic Performance Among Private University Students During Covid-19 Endemic in Cyberjaya, Malaysia

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