Postgraduate Program in Epidemiology, Universidade Federal de Pelotas, Pelotas, Brazil.
Graduate Program in Health Technology, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil.
Sleep Health. 2023 Jun;9(3):346-353. doi: 10.1016/j.sleh.2023.01.004. Epub 2023 Jan 24.
To determine sleep clusters among young adults and describe the prevalence of modifiable risk behaviors for noncommunicable diseases (NCDs) according to these clusters.
A cross-sectional analysis was carried out with the 1993 Pelotas Birth Cohort participants at the 22-year follow-up. Sleep onset, sleep offset, total sleep time (TST), TST variability, and sleep efficiency were evaluated by a triaxial accelerometer. We asked participants to wear the devices for 7 days on a nondominant wrist. Excessive daytime sleepiness was assessed by the Epworth sleep scale and sleep quality by the Pittsburgh Sleep Quality Index. Sleep clusters of 2738 individuals were determined using k-means cluster analysis. Crude and adjusted prevalence of modifiable risk behaviors for NCDs (smoking, harmful alcohol intake, leisure physical inactivity, overweight, screen time, and ultra-processed food consumption) were presented according to the sleep clusters. Adjustments included wealth index, skin color, years of schooling, current occupation, shift work, and having children under 2 years. All analyses were stratified according to sex.
We identified 3 sleep clusters for men (Healthy sleepers, Late and variant sleepers, and Shorter and poorer sleepers) and 3 for women (Healthy sleepers, Late and poor-quality sleepers, and Shorter, variant, and inefficient sleepers). Both males and females classified as Healthy sleepers presented a lower prevalence of modifiable risk behaviors for NCDs compared to individuals from other sleep clusters.
Poor sleep health is associated with higher prevalence of modifiable risk behaviors for NCDs. Prevention strategies for NCDs should also focus on sleep health.
确定年轻人的睡眠模式，并根据这些模式描述非传染性疾病（NCD）可改变风险行为的流行情况。
对 1993 年佩洛塔斯出生队列参与者在 22 年随访时进行了横断面分析。通过三轴加速度计评估睡眠潜伏期、睡眠终点、总睡眠时间（TST）、TST 变异性和睡眠效率。要求参与者在非优势手腕上佩戴设备 7 天。使用 Epworth 睡眠量表评估日间嗜睡，使用匹兹堡睡眠质量指数评估睡眠质量。使用 k-均值聚类分析确定 2738 人的睡眠模式。根据睡眠模式呈现 NCD 可改变风险行为（吸烟、有害饮酒、休闲体力活动不足、超重、屏幕时间和超加工食品消费）的粗患病率和调整后患病率。调整因素包括财富指数、肤色、受教育年限、当前职业、轮班工作和 2 岁以下儿童。所有分析均按性别分层。
我们确定了男性的 3 种睡眠模式（健康睡眠者、晚睡和变异睡眠者、睡眠时间短且质量差的睡眠者）和女性的 3 种睡眠模式（健康睡眠者、晚睡和睡眠质量差的睡眠者、睡眠时间短、变异和效率低的睡眠者）。与其他睡眠模式的个体相比，归类为健康睡眠者的男性和女性患 NCD 可改变风险行为的比例较低。
较差的睡眠健康与 NCD 可改变风险行为的较高流行率相关。NCD 预防策略也应关注睡眠健康。
