Group of Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova and Santa Maria, IRB Lleida, Lleida, Spain.
Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain.
PLoS One. 2018 Apr 18;13(4):e0194495. doi: 10.1371/journal.pone.0194495. eCollection 2018.
To describe the overall sleep health of the Catalan population using data from the 2015 Catalan Health Survey and to compare the performance of two sleep health indicators: sleep duration and a 5-dimension sleep scale (SATED).
Multistage probability sampling representative of the non-institutionalized population aged 15 or more years, stratified by age, gender and municipality size, was used, excluding nightshift-workers. A total of 4385 surveys were included in the analyses. Associations between sleep health and the number of reported chronic diseases were assessed using non-parametric smoothed splines. Differences in the predictive ability of age-adjusted logistic regression models of self-rated health status were assessed. Multinomial logistic regression models were used to assess SATED determinants.
Overall mean (SD) sleep duration was 7.18 (1.16) hours; and SATED score 7.91 (2.17) (range 0-10), lower (worse) scores were associated with increasing age and female sex. Alertness and efficiency were the most frequently impaired dimensions across age groups. SATED performed better than sleep duration when assessing self-rated health status (area under the curve = 0.856 vs. 0.798; p-value <0.001), and had a linear relationship with the number of reported chronic diseases, while the sleep duration relationship was u-shaped.
Sleep health in Catalonia is associated with age and gender. SATED has some advantaged compared to sleep duration assessment, as it relates linearly to health indicators, has a stronger association with self-rated health status, and provides a more comprehensive assessment of sleep health. Therefore, the inclusion of multi-dimensional sleep health assessment tools in national surveys should be considered.
利用 2015 年加泰罗尼亚健康调查的数据描述加泰罗尼亚人口的整体睡眠健康状况，并比较两个睡眠健康指标的表现：睡眠时间和 5 维度睡眠量表（SATED）。
使用多阶段概率抽样，对年龄在 15 岁及以上、按年龄、性别和城市规模分层的非住院人口进行代表性抽样，但不包括夜班工人。共纳入 4385 份调查进行分析。使用非参数平滑样条评估睡眠健康与报告的慢性疾病数量之间的关联。使用年龄调整的逻辑回归模型评估自我报告健康状况的预测能力差异。使用多项逻辑回归模型评估 SATED 决定因素。
总体平均（SD）睡眠时间为 7.18（1.16）小时；SATED 评分为 7.91（2.17）（范围 0-10），得分越低（越差）与年龄增长和女性性别有关。警觉性和效率是各年龄组中最常受损的维度。SATED 在评估自我报告健康状况方面优于睡眠时间（曲线下面积=0.856 与 0.798；p 值<0.001），与报告的慢性疾病数量呈线性关系，而睡眠时间关系呈 U 形。
加泰罗尼亚的睡眠健康与年龄和性别有关。SATED 与睡眠时间评估相比具有一些优势，因为它与健康指标呈线性关系，与自我报告健康状况的关联更强，并提供了更全面的睡眠健康评估。因此，应考虑在国家调查中纳入多维睡眠健康评估工具。
