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Background: 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., Methods: 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., Results: 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., Conclusion: 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., (Copyright © 2024 National Medical Association. Published by Elsevier Inc. All rights reserved.)

Purpose: Sleep quality (SQ) is essential in the overall well-being and quality of life, but little is known about the association of secondhand smoking (SHS) with SQ. This study assessed the relationship between SHS and SQ among adults who had never smoked in Ibadan, Nigeria. Methods: We identified 3193 respondents who had never smoked or used any form of tobacco product in the Community-based Investigation of the Risk Factors for Cardiovascular Diseases in the Ibadan and suburbs (COMBAT-CVDs) study. SHS was self-reported, SQ assessed using a sleep quality scale, and SQ scores were classified by the quartile distributions of SQ scores in this sample as good (< 7), moderate (7–13), fair (14–20), and poor (≥ 21), and logistic regression models were used to estimate the multivariable-adjusted odds ratio and 95% confidence interval (CI) of the association between SHS and SQ in a two-sided test at P < 0.05. Results: The mean (SD) of age in this sample was 34.8 ± 15.1 years; 1621 (50.8%) were females, and 848 (26.6%) experienced SHS. The multivariable-adjusted odds by categories of SQ scores (using good SQ as reference) in the light of SHS were OR: 1.64 (95%CI 1.28, 2.12) for moderate SQ, OR: 1.88 (95%CI 1.46, 2.42) for fair SQ and OR: 2.14 (95%CI 1.66, 2.75) for poor SQ; P < 0.0001 after adjusting for relevant covariates. The sex- and age groups- stratified analyses revealed similar trends. Conclusion: SHS is associated with higher odds of poor SQ in this study. Culturally relevant interventions for mitigating exposure to SHS might improve SQ and overall quality of life, particularly among vulnerable populations. [ABSTRACT FROM AUTHOR]