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Association between sleeping hours, working hours and obesity in Hong Kong Chinese: the ‘better health for better Hong Kong’ health promotion campaign
Abstract
Objective To study the inter-relationships between sleeping hours, working hours and obesity in subjects from a working population.Research design A cross-sectional observation study under the 'Better Health for Better Hong Kong' Campaign, which is a territory-wide health awareness and promotion program.Subjects 4793 subjects (2353 (49.1%) men and 2440 (50.9%) women). Their mean age (+/-s.d.) was 42.4+/-8.9 years (range 17-83 years, median 43.0 years). Subjects were randomly selected using computer-generated codes in accordance to the distribution of occupational groups in Hong Kong.Results The mean daily sleeping time was 7.06+/-1.03 h (women vs men: 7.14+/-1.08 h vs 6.98+/-0.96 h, P<0.001). Increasing body mass index (BMI) was associated with reducing number of sleeping hours and increasing number of working hours reaching significance in the whole group as well as among male subjects. Those with short sleeping hour (6 h or less) and long working hours (>9 h) had the highest BMI and waist in both men and women. Based on multiple regression analysis with age, smoking, alcohol drinking, systolic and diastolic blood pressure, mean daily sleeping hours and working hours as independent variables, BMI was independently associated with age, systolic and diastolic blood pressure in women, whereas waist was associated with age, smoking and blood pressure. In men, blood pressure, sleeping hours and working hours were independently associated with BMI, whereas waist was independently associated with age, smoking, blood pressure, sleeping hours and working hours in men.Conclusion Obesity is associated with reduced sleeping hours and long working hours in men among Hong Kong Chinese working population. Further studies are needed to investigate the underlying mechanisms of this relationship and its potential implication on prevention and management of obesity.
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“As globalization and technology penetrate society, sleep-related beliefs and practices can change, including the provision of longer working hours,113–120 shift work,121–124 and discouraging otherwise culturally appropriate naps.125–127”
From Sleep, Health, and Society (2017) · cites this paper as [116]
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Metadata
- Authors
- on behalf of the BHBHK Research Committee, T. H. I. O. H. K. H. A., Ko, G. T. C., Chan, J. C. N., Chan, A. W. Y., Wong, P. T. S., Hui, S. S. C., Tong, S. D. Y., Ng, S.-M., Chow, F., & Chan, C. L. W.
- Affiliations
- Alice Ho Miu Ling Nethersole Hospital (CN)
- Chinese University of Hong Kong (HK)
- Hospital Authority (HK)
- University of Hong Kong (HK)
- Corresponding author
- Ko, G T C
- Venue
- International Journal of Obesity
- Published
- 2006-05-23
- Volume
- 31
- Issue
- 2
- Pages
- 254-260
- ISSN
- 0307-0565 (ISSN-L)
- 1476-5497
- OpenAlex
- W1992297169
- Cited by
- 176
- References
- 36
- Citations by year
- 2026: 1 · 2025: 7 · 2024: 6 · 2023: 5 · 2022: 3 · 2021: 13 · 2020: 14 · 2019: 8 · 2018: 5 · 2017: 10 · 2016: 12 · 2015: 10 · 2014: 15 · 2013: 14 · 2012: 8
- FWCI
- 10.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- International Journal of Obesity (publishedVersion)
- PubMed (publishedVersion)
- The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Workplace Health and Well-being
- Keywords
- obesity, sleep duration, working hours, body mass index, waist circumference, Hong Kong Chinese, working population, sex differences, blood pressure, smoking, health campaigns
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Blood Pressure, Employment, Female, Health Promotion, Hong Kong, Humans, Male, Middle Aged, Obesity, Personnel Staffing and Scheduling, Sleep, Time Factors, Body Mass Index
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