Abstract
Objectives: Corporate executive job demands may lead to poor sleep habits, increasing their risk for cardiometabolic disease. This study aimed to describe and explore associations between objectively measured habitual sleep characteristics and cardiometabolic disease risk of corporate executives, while accounting for occupational, psychological, and lifestyle factors.
Methods: Habitual sleep was measured using wrist-worn actigraphy and a sleep diary over seven consecutive days in 61 (68.3% men) corporate executives aged 46.4 ± 8.7 years. A composite cardiometabolic disease risk score was determined using body mass index, waist circumference, blood pressure and fasting glucose and lipid concentrations. Prediction models were built using a backward stepwise selection approach to explore associations between sleep characteristics and cardiometabolic disease risk factors adjusting for occupational, psychological, and lifestyle covariates.
Results: Average total sleep time was 6.60 ± 0.75 hours, with 51.7% of participants reporting poor sleep quality and 26.2% extending their weekend sleep. Adjusted models showed that lower sleep efficiency (β = − 0.25, 95%CI: − 0.43; − 0.08, P = .006), shorter weekday total sleep time (β = − 1.37, 95% CI: − 2.41, − 0.32; P = .011) and catch-up sleep (β = 0.84, 95%CI: 0.08, 1.60, P = .002) were associated with higher cardiometabolic disease risk scores. Adjusted models also found that shorter average time-in-bed (ß = − 2.00, 95%CI: − 3.76; − 0.18, P = .031), average total sleep time (ß = 1.98, 95%CI: − 3.70; − 0.25, P = .025) and weekday total sleep time (β = − 2.13, 95%CI: − 3.56; − 0.69, P = .025) as well as catch-up sleep (β = 1.67, 95% CI: 0.52; 2.83; P = .012) were all associated with a higher body mass index.
Conclusion: Corporate executives who compromise sleep duration during the working week may increasetheir risk for obesity and future cardiometabolic disease.
Methods: Habitual sleep was measured using wrist-worn actigraphy and a sleep diary over seven consecutive days in 61 (68.3% men) corporate executives aged 46.4 ± 8.7 years. A composite cardiometabolic disease risk score was determined using body mass index, waist circumference, blood pressure and fasting glucose and lipid concentrations. Prediction models were built using a backward stepwise selection approach to explore associations between sleep characteristics and cardiometabolic disease risk factors adjusting for occupational, psychological, and lifestyle covariates.
Results: Average total sleep time was 6.60 ± 0.75 hours, with 51.7% of participants reporting poor sleep quality and 26.2% extending their weekend sleep. Adjusted models showed that lower sleep efficiency (β = − 0.25, 95%CI: − 0.43; − 0.08, P = .006), shorter weekday total sleep time (β = − 1.37, 95% CI: − 2.41, − 0.32; P = .011) and catch-up sleep (β = 0.84, 95%CI: 0.08, 1.60, P = .002) were associated with higher cardiometabolic disease risk scores. Adjusted models also found that shorter average time-in-bed (ß = − 2.00, 95%CI: − 3.76; − 0.18, P = .031), average total sleep time (ß = 1.98, 95%CI: − 3.70; − 0.25, P = .025) and weekday total sleep time (β = − 2.13, 95%CI: − 3.56; − 0.69, P = .025) as well as catch-up sleep (β = 1.67, 95% CI: 0.52; 2.83; P = .012) were all associated with a higher body mass index.
Conclusion: Corporate executives who compromise sleep duration during the working week may increasetheir risk for obesity and future cardiometabolic disease.
| Original language | English |
|---|---|
| Pages (from-to) | 550-557 |
| Number of pages | 8 |
| Journal | Sleep Health |
| Volume | 10 |
| Issue number | 5 |
| Early online date | 23 Aug 2024 |
| DOIs | |
| Publication status | Published - Oct 2024 |
Bibliographical note
© 2024 The Author(s). Published by Elsevier Inc. on behalf of National Sleep Foundation. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Funding
The authors sincerely thank the corporate executives participating in the study, Hambisa Health, and the healthcare professionals involved in the Executive Wellness assessments.
| Funders | Funder number |
|---|---|
| Hambisa Health |
Keywords
- Employees
- Cardiometabolic disease
- Health risk assessment
- Actigraphy
- Sleep quantity
