Nanthini Visvalingam1, Thirunavukkarasu Sathish2, Michael Soljak1, Ai-Ping Chua3, Gerard Dunleavy1, Ushashree Divakar1, Nuraini Nazeha1, Ram Bajpai4, Chee Kiong Soh5, Kwok Kian Woon6, Georgios Christopoulos7, Josip Car1. 1. Centre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, 11 Mandalay Road, Singapore 308232. 2. Centre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, 11 Mandalay Road, Singapore 308232; Population Health Research Institute, McMaster University, 237 Barton Street East, Hamilton, ON L8L 2X2, Canada. Electronic address: speaktosat@gmail.com. 3. Department of Medicine, Jurong Health Campus, National University Heath System, 1 Jurong East Street 21, Singapore 609606. 4. Centre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, 11 Mandalay Road, Singapore 308232; Research Institute for Primary Care & Health Sciences, Keele University, Staffordshire ST5 5BG, United Kingdom. 5. School of Civil and Environmental Engineering, College of Engineering, Nanyang Technological University Singapore, 50 Nanyang Avenue, Singapore 639798. 6. School of Social Sciences, College of Humanities, Arts and Social Sciences, Nanyang Technological University Singapore, 14 Nanyang Drive, Singapore 637332. 7. Decision, Environmental and Organizational Neuroscience Lab, Culture Science Institute, Nanyang Business School, Nanyang Technological University Singapore, Singapore 639798; Division of Leadership, Management and Organization, Nanyang Business School, College of Business, Nanyang Technological University Singapore, Singapore 639798.
Abstract
OBJECTIVES: We aimed to examine the prevalence of poor sleep quality and short sleep and their associated factors in a working population in Singapore. DESIGN: This is a cross-sectional analysis. SETTING: Four companies in Singapore were included in this study. PARTICIPANTS: Participants included 464 full-time employees (aged ≥21 years). MEASUREMENTS: Self-reported sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Self-administered questionnaires were used to collect data on sociodemographic characteristics, health behaviours, medical history, chronotype, psychosocial factors, health-related quality of life (HRQoL) and occupational factors. Clinical measurements were performed using standard tools and protocols. Multivariate logistic regression was used to examine the factors associated with poor sleep quality (PSQI global score >5) and short sleep (<7 hours/night). RESULTS: The mean age was 39.0 (SD: 11.4) years, and 79.5% were men. The prevalence of poor sleep quality was 42.5%, and 66.2% were short sleepers. Nearly three-fourths (71.3%) had at least one of these two conditions. Age, Malay ethnicity (vs. Chinese), chronic conditions, poorer mental health, stress at home or work and shift work were positively associated, and mental component summary of the HRQoL scale and work years in the current company were negatively associated with poor sleep quality. Age, Malay and Indian ethnicities (vs. Chinese), longer dinner-to-bed time, snacking between dinner and bed time, and poorer mental health were positively associated with short sleep. CONCLUSIONS: Poor sleep quality and short sleep were highly common in this working population in Singapore. Workplace policies should include education and intervention programmes to promote better sleep hygiene.
OBJECTIVES: We aimed to examine the prevalence of poor sleep quality and short sleep and their associated factors in a working population in Singapore. DESIGN: This is a cross-sectional analysis. SETTING: Four companies in Singapore were included in this study. PARTICIPANTS: Participants included 464 full-time employees (aged ≥21 years). MEASUREMENTS: Self-reported sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Self-administered questionnaires were used to collect data on sociodemographic characteristics, health behaviours, medical history, chronotype, psychosocial factors, health-related quality of life (HRQoL) and occupational factors. Clinical measurements were performed using standard tools and protocols. Multivariate logistic regression was used to examine the factors associated with poor sleep quality (PSQI global score >5) and short sleep (<7 hours/night). RESULTS: The mean age was 39.0 (SD: 11.4) years, and 79.5% were men. The prevalence of poor sleep quality was 42.5%, and 66.2% were short sleepers. Nearly three-fourths (71.3%) had at least one of these two conditions. Age, Malay ethnicity (vs. Chinese), chronic conditions, poorer mental health, stress at home or work and shift work were positively associated, and mental component summary of the HRQoL scale and work years in the current company were negatively associated with poor sleep quality. Age, Malay and Indian ethnicities (vs. Chinese), longer dinner-to-bed time, snacking between dinner and bed time, and poorer mental health were positively associated with short sleep. CONCLUSIONS: Poor sleep quality and short sleep were highly common in this working population in Singapore. Workplace policies should include education and intervention programmes to promote better sleep hygiene.
Authors: Sara Al-Musharaf; Alanoud Alabdulaaly; Hanadi Bin Mujalli; Hatoun Alshehri; Hind Alajaji; Rania Bogis; Ruyuf Alnafisah; Shaden Alfehaid; Hala Alhodaib; Alice M Murphy; Syed Danish Hussain; Shaun Sabico; Philip G McTernan; Nasser Al-Daghri Journal: Int J Environ Res Public Health Date: 2021-04-25 Impact factor: 3.390