Sleep disruptions and associated risk factors among Iranians during Ramadan amid COVID-19 pandemic: A nationwide cross-sectional study.
Sohrab AmiriMohammad PourfridoniReza Heidari-SoureshjaniMitra SotoudehMoezAlIslam E FarisAmna G AlbalushiFatima AlsaediSajjad Ahmed KhanMoien A B KhanPublished in: Medicine (2024)
The global COVID-19 pandemic has disrupted daily routines and heightened stress levels worldwide, impacting various aspects of health, including sleep. This cross-sectional study conducted in Iran aimed to investigate the impact of Ramadan Intermittent Fasting (RIF) during the pandemic on sleep disturbances and associated risk factors in adults aged ≥ 18 years. Data was collected from Iranian participants observing RIF. A structured electronic questionnaire, translated into Persian, gathered information on sociodemographics, dietary habits, sleep parameters, physical activity, and more. The study assessed sleep quality, duration, and disturbances and conducted a thorough analysis to identify risk factors associated with sleep disruptions. The study revealed that 48% of the participants experienced sleep disturbances during RIF, with 21% reporting poor sleep quality and 46% having unusual sleep duration. Various factors were associated with an elevated risk of sleep disruptions, including body mass index, place of residence, income levels, cohabitation status, family history of obesity, hypertension, diabetes, heart disease, personal history of obesity, weight fluctuations, Shisha smoking, and unemployment. The results highlight the critical importance of health promotion strategies tailored to cultural contexts. This study advocates for enhanced health education initiatives focusing on sleep hygiene and stress management, especially during periods of significant lifestyle alterations like Ramadan amid a global pandemic. Such initiatives are vital in mitigating sleep disturbances and promoting overall well-being in populations facing unique health challenges.
Keyphrases
- sleep quality
- physical activity
- depressive symptoms
- body mass index
- healthcare
- health promotion
- metabolic syndrome
- mental health
- type diabetes
- public health
- weight loss
- insulin resistance
- coronavirus disease
- sars cov
- blood pressure
- weight gain
- pulmonary hypertension
- artificial intelligence
- deep learning
- social media
- drug induced
- big data
- human health
- stress induced
- single cell