Abstract

Aim: Although sleep duration and weight-adjusted waist index (WWI) are recognized CVD risk factors in older adults, the individual and dual trajectories of these factors and their associations with CVD risk remain unclear. We aim to investigate these associations using data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS).

Methods and results: We included 3,313 older adults without hypertension, heart disease, or stroke in 2011 and assessed sleep duration, WWI, and CVD incidence in 2011, 2014, and 2018. Group-based dual trajectory modeling and logistic regression were used for analysis. All data were analyzed in 2024. Three trajectories of sleep duration (Low-Stable, Normal-Stable, High-Increasing) and two trajectories of WWI (Normal-Increasing, High-Increasing) were identified, along with their six dual trajectories. Compared to the "Normal-Increasing WWI & Normal-Stable sleep duration" pattern, the "High-Increasing WWI & Low-Stable sleep duration" pattern was associated with an increased risk of any one type of CVD (OR=1.25, 95% CI 1.03-1.83), the "Normal-Increasing WWI & Low-Stable sleep duration" pattern was associated with an increased risk of any two types of CVD (OR=1.58, 95% CI 1.06-2.36), and the "Normal-Increasing WWI & High-Increasing sleep duration" pattern was associated with an increased risk of all three types of CVD (OR=4.48, 95% CI 1.44-13.94).

Conclusions: These findings highlight the importance of nursing professionals considering both sleep duration and WWI trajectories when assessing CVD risk in older adults, supporting the implementation of multi-point monitoring and targeted joint interventions to mitigate CVD risk in this population.