Interaction between sleep quality and dietary inflammation on frailty: NHANES 2005–2008

Sun, Mengzi; Wang, Xuhan; Li, Tong; Fang, Jiaxin; Wang, Yuxiang; Yang, Yilin; Li, Bo

doi:10.1039/d2fo01832b

Cited by 31 publications

(17 citation statements)

References 39 publications

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“…The different prevalence observed across these studies can be mainly explained by the differences in study populations, sample sizes and instruments used to assess sleep quality. Given the moderate-to-high prevalence of poor sleep quality found in this study and the link between poor sleep quality and subsequent adverse health outcomes among patients with T2DM found in previous studies,31–33 it is highly recommended for the primary healthcare workers to screen patients with T2DM for sleep quality on a regular basis in Hunan, China, and take effective interventions such as cognitive behavioural therapy, muscle endurance training combined with walking and dietary supplements to improve sleep quality 34–36…”

Section: Discussionmentioning

confidence: 87%

Sleep quality and its associated factors among patients with type 2 diabetes mellitus in Hunan, China: a cross-sectional study

Maimaitituerxun,

Chen,

Xiang

et al. 2024

BMJ Open

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ObjectivesType 2 diabetes mellitus (T2DM) is a serious public health issue. Compared with the general population, patients with T2DM have a higher risk of poor sleep quality, which could ultimately result in poor prognosis. Therefore, this study aimed to evaluate sleep quality and its associated factors among patients with T2DM in Hunan, China.DesignThis was a cross-sectional study.SettingA tertiary hospital in Hunan, China.ParticipantsPatients with T2DM hospitalised at the Endocrinology Department were consecutively enrolled between March 2021 and December 2022. Sociodemographic characteristics, lifestyle factors and T2DM-related information were collected retrospectively.Primary and secondary outcome measuresSleep quality was evaluated using the Pittsburgh Sleep Quality Index, with a cut-off value of >7 suggesting poor sleep quality. Multivariate logistic regression analysis was used to determine factors associated with poor sleep quality.ResultsOf the 1039 participants included, 1001 provided complete data. The mean age of the study sample was 60.24±10.09 years, and 40.5% (95% CI 37.5% to 43.5%) of patients had poor sleep quality. Multivariate logistic regression analysis showed that female sex (adjusted OR (aOR) 1.70, 95% CI 1.25 to 2.29), unmarried status (aOR 1.72, 95% CI 1.05 to 2.83), diabetic retinopathy (aOR 1.38, 95% CI 1.04 to 1.83), diabetic foot (aOR 1.80, 95% CI 1.11 to 2.93) and a per capita monthly household income of >5000 RMB (aOR 0.66, 95% CI 0.47 to 0.93) were associated with poor sleep quality.ConclusionsNearly two-fifths of patients with T2DM reported poor sleep quality in Hunan, China. Sex, marital status, diabetic retinopathy, diabetic foot and household income were independently associated with sleep quality among patients with T2DM in Hunan, China.

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Section: Discussionmentioning

confidence: 87%

Sleep quality and its associated factors among patients with type 2 diabetes mellitus in Hunan, China: a cross-sectional study

Maimaitituerxun,

Chen,

Xiang

et al. 2024

BMJ Open

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“…IL-1β has been linked to increased growth hormone-releasing hormone and improved non-rapid-eye-movement sleep in humans ( 55 ). The NHANES study found inflammation as a potential relationship between sleep problems and frailty, and anti-inflammatory diets can reduce the negative effects of poor sleep quality on frailty ( 56 ).…”

Section: Discussionmentioning

confidence: 99%

Causality between sleep traits and the risk of frailty: a Mendelian randomization study

Deng,

Hu,

Duan

et al. 2024

Front. Public Health

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BackgroundResearch based on observation has demonstrated a relationship between sleep traits and frailty; however, it remains uncertain if this correlation indicates causation. The purpose of this study was to look at the causal relationship that exists between frailty and sleep traits.MethodUsing summaries from a genome-wide association study of self-reported sleep features and frailty index, we performed a bidirectional Mendelian randomization (MR) analysis. Examining the causal relationships between seven sleep-related traits and frailty was the goal. The major method used to calculate effect estimates was the inverse-variance weighted method, supplemented by the weighted median and MR-Egger approaches. The study investigated pleiotropy and heterogeneity using several methodologies, such as the MR-Egger intercept, the MR-PRESSO approach, and the Cochran’s Q test. We took multivariate Mendelian randomization and genetic correlations between related traits to enhance the confidence of the results. Furthermore, we used MRlap to correct for any estimation bias due to sample overlap.ResultsInsomnia, napping during the day, and sleep apnea syndrome exhibited a positive connection with the frailty index in forward MR analysis. Conversely, there is a negative link between getting up in the morning, snoring and sleep duration with the frailty index. During the reverse MR analysis, the frailty index exhibited a positive correlation with insomnia, napping during the day, and sleep apnea syndrome, while demonstrating a negative correlation with sleep duration. There was no direct correlation between snoring, chronotype, and frailty. In MVMR analyses, the causal effect of sleep characteristics on frailty indices remained consistent after adjusting for potential confounders including BMI, smoking, and triglycerides.ConclusionThe findings of our investigation yield novel evidence that substantiates the notion of a bidirectional causal connection between sleep traits and frailty. Through the optimization of sleep, it is potentially feasible to hinder, postpone, or even reverse the state of frailty, and we proposed relevant interventions.

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“…Participants were divided into 2 subgroups: FI ≤ 0.2 was considered fit and FI > 0.2 was considered frail. 13…”

Section: Frailty Index (Fi)mentioning

confidence: 99%

“…9 Since the introduction of the free radical theory of aging, oxidative stress has been identified as one of the major causes of frailty in several previous studies. [10][11][12] As the effects of a wide range of dietary nutrients [13][14][15] and lifestyle-related behaviors 16 on oxidative stress pathways have been discovered, there has been increasing interest in the possible role of these factors in frailty. There are studies showing that the early stages of frailty can be improved through adequate nutritional intake and physical activity regimes.…”

Section: Introductionmentioning

confidence: 99%

The association between oxidative balance score and frailty in adults across a wide age spectrum: NHANES 2007–2018

Liu,

Han,

Gao

et al. 2024

Food Funct.

Self Cite

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Interaction between sleep quality and dietary inflammation on frailty: NHANES 2005–2008

Abstract: Aims: The underlying mechanism of both sleep disorder and frailty was chronic inflammation, which could be reflected by Dietary inflammatory index (DII). Therefore, we aimed to explore the association...

Cited by 31 publications

References 39 publications

Sleep quality and its associated factors among patients with type 2 diabetes mellitus in Hunan, China: a cross-sectional study

Sleep quality and its associated factors among patients with type 2 diabetes mellitus in Hunan, China: a cross-sectional study

Causality between sleep traits and the risk of frailty: a Mendelian randomization study

The association between oxidative balance score and frailty in adults across a wide age spectrum: NHANES 2007–2018

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