The bi-directional relationship between sleep and inflammation in muscular dystrophies: A narrative review

Mahon, Niamh; Glennon, Jeffrey C.

doi:10.1016/j.neubiorev.2023.105116

Cited by 2 publications

(1 citation statement)

References 144 publications

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“…In recent years, an increasing number of studies have discovered that sleep quality is closely associated to health. Sleep difficulties have been linked to inflammatory responses in the body, psychological issues, and even increased mortality in adults (25)(26)(27). As a result, excellent sleep habits, regular exercise, and quitting smoking and drinking can all help to improve physical health.…”

Section: Discussionmentioning

confidence: 99%

Health status of the population in Naqu, Tibet and its latent class analysis: a cross-sectional survey

Cui,

Nima,

Zhaxi

et al. 2023

Front. Public Health

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BackgroundThrough a survey and analysis of the population’s present state of health, it is possible to give data support for improving the health status of inhabitants in Naqu, Tibet. Additionally, it is possible to provide specific recommendations for the development of medical and healthcare facilities in Tibet.MethodsThe health scores of the participants were based on their responses to the four main sections of the questionnaire: dietary habits, living habits, health knowledge, and clinical disease history, and the variability of health status among groups with different characteristics was analyzed based on the scores. The four major sections were used to create classes of participants using latent class analysis (LCA). Using logistic regression, the factors influencing the classification of latent classes of health status were investigated.ResultsA total of 995 residents from 10 counties in Naqu were selected as the study subjects. And their demographic characteristics were described. The mean health score of residents after standardization was 81.59 ± 4.68. With the exception of gender, health scores differed between groups by age, education level, different occupations, marital status, and monthly income. The health status in Naqu, Tibet, was divided into two groups (entropy = 0.29, BLRT = 0.001, LMRT = 0.001) defined as the “good health group” and the “general health group.” A monthly income of more than ¥5000 adverse to good health in Naqu, Tibet.DiscussionSingle, well-educated young adults in Naqu, Tibet, have outstanding health. The vast majority of people in Tibet’s Naqu region were in good health. Furthermore, the population’s latent health status was divided into two classes, each with good dietary and living habits choices, low health knowledge, and a history of several clinical diseases. Univariate and multivariate logistic regression analysis showed that monthly income more than ¥5000 was an independent risk factor for poor health status.

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Section: Discussionmentioning

confidence: 99%

Health status of the population in Naqu, Tibet and its latent class analysis: a cross-sectional survey

Cui,

Nima,

Zhaxi

et al. 2023

Front. Public Health

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Association of sleep quality with cognitive dysfunction in middle-aged and elderly adults: a cross-sectional study in China

Jiang,

Liu,

Wang

et al. 2024

Front. Aging Neurosci.

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ObjectivesSleep is an indispensable part of human health, which can help us to restore physical strength, enhance immunity and maintain nervous system stability. The relationship between sleep quality and cognitive dysfunction is unclear, especially at the community population level. This study aims to explore the association between sleep quality and cognitive dysfunction.MethodsA total of 5,224 community residents were enrolled in this cross-sectional study. Cognitive function was assessed by the Mini-Mental State Examination (MMSE). Sleep quality was assessed by the multidimensional sleep questionnaire. Multivariate logistic regression was used to analyze the association between sleep quality and cognitive dysfunction. The adjusted models took into account relevant demographic, clinical, and sleep variables.ResultsA total of 3,106 participants were enrolled in this study, of whom 463 (15%) had cognitive dysfunction. Total sleep duration, staying up, sleep latency, number of awakenings, and history of sleep medications were associated with cognitive dysfunction in unadjusted models, and these effects were consistent after adjustment. First, those who slept 6–7.9 h per day (OR = 0.57, 95% CI 0.40 to 0.80, p = 0.001) had a lower risk for cognitive dysfunction compared to those who slept less than 6 h per day. Second, participants who stayed up more than 10 times over the 3 months (OR = 1.90, 95% CI 1.20 to 3.00, p = 0.006) were more likely to suffer cognitive dysfunction than those who never stayed up. Third, we also found that participants with sleep latencies of 16–30 min were less likely to experience cognitive dysfunction than those with sleep latencies of less than 16 min after adjusting confounders (OR = 0.33, 95% CI 0.23 to 0.47, p < 0.001). Fourth, participants who woke up once (OR = 1.65, 95% CI 1.19 to 2.30, p = 0.003) and three or more times (OR = 2.34, 95% CI 1.25 to 4.36, p = 0.008) after falling asleep had a higher risk than those who did not wake up at night. Last, participants taking sleep medication (OR = 2.97, 95% CI 1.19 to 7.45, p = 0.020) were more vulnerable to cognitive dysfunction, relative to participants without taking any medications.ConclusionOur results suggest that after adjustment for potential confounding variables, poor sleep quality is associated with cognitive dysfunction.

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The bi-directional relationship between sleep and inflammation in muscular dystrophies: A narrative review

Cited by 2 publications

References 144 publications

Health status of the population in Naqu, Tibet and its latent class analysis: a cross-sectional survey

Health status of the population in Naqu, Tibet and its latent class analysis: a cross-sectional survey

Association of sleep quality with cognitive dysfunction in middle-aged and elderly adults: a cross-sectional study in China

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