The Goldilocks Principle of Sleep: Finding the Perfect Balance for Healthy Aging
Recent research has unveiled a fascinating link between sleep duration and the presence of multiple chronic diseases, known as multimorbidity, among older adults in China. Analyzing data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) spanning 2011 to 2018, researchers discovered that both insufficient and excessive sleep are associated with higher rates of multimorbidity. This finding underscores the importance of achieving a balanced sleep duration to promote healthier aging.
The study observed a U-shaped relationship between sleep duration and multimorbidity. This means that older adults who slept less than 6 hours or more than 9 hours per night were more likely to have multiple chronic conditions compared to those who slept between 6 to 9 hours. Multimorbidity refers to the coexistence of two or more chronic diseases in an individual, such as hypertension, diabetes, or heart disease. The optimal sleep duration associated with the lowest risk of multimorbidity was found to be around 7 to 8 hours per night.
These insights highlight the critical role of adequate sleep in maintaining health among the elderly population. Healthcare professionals and caregivers should emphasize the importance of balanced sleep patterns in their efforts to prevent and manage chronic diseases in older adults. By fostering healthy sleep habits, it may be possible to reduce the burden of multimorbidity and enhance the quality of life for aging individuals.
Article Information
Quadratic associations between sleep and multimorbidity among the older population in China: Evidence from CLHLS 2011 to 2018
Published in Journal of Psychosomatic Research. By Zhu C. et al.
Abstract
Objectives: To investigate the relationship between sleep and multimorbidity, including the associations between sleep duration and multimorbidity, as well as between sleep quality and multimorbidity.
Methods: Using data from the three latest waves of the Chinese Longitudinal Health Longevity Study (2011, 2014, and 2018), a binary panel regression was conducted to investigate the quadratic relationship between sleep duration and multimorbidity. Subsequently, quadratic fitting and robustness analysis were further utilized to strengthen the verification of this relationship.
Results: From 2011 to 2018, the prevalence of multimorbidity increased, with average rates of 0.309, 0.345, and 0.367, respectively. Meanwhile, sleep duration was 7.45, 7.34, and 7.39, but sleep quality showed a declining trend with scores of 3.70, 3.63, and 3.47, respectively. Furthermore, the regression analysis revealed that the odds ratios (OR) for the relationship between sleep duration and multimorbidity, and between the square of sleep duration and multimorbidity were 0.734, with 95 % CI = [0.6272, 0.8582] and 1.016, with 95 % CI = [1.0058, 1.0262], respectively. From the quadratic relationship, it is evident that the multimorbidity among older Chinese adults initially decreases and then increases with long sleep durations.
Conclusions: The multimorbidity was significantly different among individuals with different sleep duration. A U-shaped relationship was observed between sleep duration and multimorbidity, whereby both short and excessive sleep durations were associated with higher rates of multimorbidity. Additionally, a negative association was found between sleep quality and multimorbidity, indicating that higher sleep quality was linked to lower rates of multimorbidity.
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