Agreement between self-reported and objective measures of sleep in people with HIV and lifestyle-similar HIV-negative individuals.

OBJECTIVES: The aim of this study was to evaluate the agreement between self-reported sleep measures and insomnia with objectively measured sleep parameters in people with HIV (PWH) and HIV-negative individuals. DESIGN: A cross-sectional analysis of PWH and lifestyle-similar HIV-negative individuals. METHODS: Self-reported measures included time spent in bed, sleep onset latency and a validated insomnia questionnaire. Objective measures were assessed via 7-days/nights of actigraphy data to determine average and intra-individual variability of several sleep measures (including time spent in bed and onset latency). Spearman's correlation coefficient and Cohen's κ were used to assess the agreement between self-reported and actigraphy-assessed measures. Associations between insomnia and actigraphy-assessed sleep parameters were evaluated using partial least-square discriminant analysis (PLS-DA). RESULTS: We found fair correlation between self-reported and actigraphy-assessed time spent in bed in 342 PWH (rs = 0.46) and 119 HIV-negative individuals (rs = 0.48). Among PWH, the correlation did not differ by age, education, depressive symptoms and self-reported insomnia (all P > 0.05), but was stronger in men (P = 0.05) and in those with a BMI of at least 25 kg/m2 (P < 0.001). Agreement between self-reported and actigraphy-assessed sleep onset latency was poor in both PWH (κ = 0.002, P = 0.49) and HIV-negative individuals (κ = 0.009, P = 0.65). According to PLS-DA, self-reported insomnia most strongly correlated with intra-individual variability of sleep duration, movement index and efficiency. CONCLUSION: We report poor-to-fair agreement between self-reported and actigraphy-assessed sleep measures in PWH. Insomnia symptoms correlated with regularity of sleep duration, quality and efficiency. These findings highlight the importance of both patient-reported and objective measures of daily sleep variation, for better understanding sleep disorders in PWH.

Sleep health and cognitive function among people with and without HIV: the use of different machine learning approaches.

STUDY OBJECTIVES: We investigated associations between actigraphy-assessed sleep measures and cognitive function in people with and without HIV using different analytical approaches to better understand these associations and highlight differences in results obtained by these approaches. METHODS: Cognitive and 7-day/night actigraphy data were collected from people with HIV (PWH) and lifestyle-similar HIV-negative individuals from HIV and sexual health clinics in the United Kingdom/Ireland. A global cognitive T-score was obtained averaging the standardized individual cognitive test scores accounting for sociodemographics. Average and SD of 11 sleep measures over 7 days/nights were obtained. Rank regression, partial least-squares (PLS) regression, random forest, sleep dimension construct, and latent class analysis (LCA) were applied to evaluate associations between global T-scores and sleep measures. RESULTS: In 344 PWH (median age 57 years, 86% males), average sleep duration, efficiency, and wake after sleep onset were not associated with global T-scores according to rank regression (p = 0.51, p = 0.09, p = 0.16, respectively). In contrast, global T-scores were associated with average and SD of length of nocturnal awakenings, SD of maintenance efficiency, and average out-of-bed time when analyzed by PLS regression and random forest. No associations were found when using sleep dimensions or LCA. Overall, findings observed in PWH were similar to those seen in HIV-negative individuals (median age 61 years, 67% males). CONCLUSIONS: Using multivariable analytical approaches, measures of sleep continuity, timing, and regularity were associated with cognitive performance in PWH, supporting the utility of newer methods of incorporating multiple standard and novel measures of sleep-wake patterns in the assessment of health and functioning.