Co-occurring sleep duration and weight-adjusted waist index and their associations with cardiovascular risk in older adults: a group-based dual-trajectory modeling study.
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引用次数: 0
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.
目的:虽然睡眠时间和体重调整腰围指数(WWI)是公认的老年人心血管疾病危险因素,但这些因素的个体和双重轨迹及其与心血管疾病风险的关系尚不清楚。我们的目的是利用中国纵向健康寿命调查(CLHLS)的数据来调查这些关联。方法和结果:我们在2011年纳入了3313名没有高血压、心脏病或中风的老年人,并评估了2011年、2014年和2018年的睡眠时间、第一次世界大战和心血管疾病发病率。采用分组双轨迹模型和逻辑回归进行分析。所有数据都在2024年进行了分析。确定了低稳定、正常-稳定、高增加的3条睡眠持续时间轨迹和WWI的2条睡眠持续时间轨迹(正常-增加、高增加)及其6条双轨迹。与“正常-增加WWI和正常-稳定睡眠时间”模式相比,“高增加WWI和低稳定睡眠时间”模式与任何一种心血管疾病的风险增加相关(OR=1.25, 95% CI 1.03-1.83),“正常-增加WWI和低稳定睡眠时间”模式与任何两种心血管疾病的风险增加相关(OR=1.58, 95% CI 1.06-2.36)。“正常增加WWI和高增加睡眠时间”模式与所有三种CVD的风险增加相关(OR=4.48, 95% CI 1.44-13.94)。结论:这些发现强调了护理专业人员在评估老年人心血管疾病风险时考虑睡眠时间和第一次世界大战轨迹的重要性,支持实施多点监测和有针对性的联合干预来降低这一人群的心血管疾病风险。