Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Nigeria; Department of Pharmacology and Toxicology, East Carolina University, Greenville, NC, United States.
Department of Computer Science, Faculty of Science, University of Ibadan, Nigeria.
J Natl Med Assoc. 2024 Oct;116(5):553-565. doi: 10.1016/j.jnma.2024.09.001. Epub 2024 Oct 24.
The sleep quality scale (SQS) is a comprehensive multidimensional sleep assessment scale used to evaluate sleep quality (SQ) among adults in the general population. However, the scale is yet to be validated among indigenous African populations such as in Nigeria. This study validated the factor structure and evaluated the reliability of a previously developed SQS among community-based adults in Ibadan, Nigeria.
Data on SQ was extracted from 3,635 adult (≥18 years) from the Community-based Investigation of the Risk Factors for Cardiovascular Disease (COMBAT-CVDs) study. Cronbach-alpha (α) was used to evaluate the internal consistency or reliability of the SQS (>50 % cut-off), while the original 6-factor model of the SQS was explored using exploratory (≥0.5 cut-offs) and confirmatory factor analyses. The chi-square goodness of fit test and multiple fit indices were used to assess model fit at a two-sided P < 0.05.
Overall, the participant's mean age was 35.33±15.20 years, and 54.60 % were male. The overall reliability estimate for the SQS was 86.00 %, while the restoration after sleep subscale reliability was 93.00 %. The exploratory and confirmatory factor analysis showed that the original 6-factor model of the SQS is a more plausible model for this sample of community-based adults: comparative fit index >0.92, Tucker-Lewis index > 0.91, root mean square error of approximation ≤ 0.05.
Our findings revealed that the SQS is promising for population-based assessment of SQ and may also assist in identifying sleep-related disorders and monitoring the efficacy of sleep treatment among indigenous Africans.
睡眠质量量表（SQS）是一种综合的多维睡眠评估量表，用于评估普通人群中成年人的睡眠质量（SQ）。然而，该量表尚未在尼日利亚等非洲本土人群中进行验证。本研究在尼日利亚伊巴丹的社区成年人中验证了先前开发的 SQS 的因子结构，并评估了其可靠性。
从社区为基础的心血管疾病危险因素研究（COMBAT-CVDs）中提取了 3635 名成年人（≥18 岁）的 SQ 数据。使用克朗巴赫-α（α）评估 SQS 的内部一致性或可靠性（>50%的截止值），同时使用探索性（≥0.5 的截止值）和验证性因子分析探索 SQS 的原始 6 因子模型。使用卡方拟合优度检验和多个拟合指数在双侧 P < 0.05 时评估模型拟合度。
总体而言，参与者的平均年龄为 35.33±15.20 岁，54.60%为男性。SQS 的总体可靠性估计值为 86.00%，而睡眠后恢复子量表的可靠性为 93.00%。探索性和验证性因子分析表明，SQS 的原始 6 因子模型更适合该社区成年人样本：比较拟合指数>0.92，塔克-刘易斯指数>0.91，均方根误差近似值≤0.05。
我们的研究结果表明，SQS 是一种有前途的基于人群的 SQ 评估方法，也可能有助于识别与睡眠相关的障碍，并监测非洲本土人群中睡眠治疗的效果。
