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      The Role of Dietary Inflammatory Index on the Association Between Sleep Quality and Long-Term Cardiovascular Risk: A Mediation Analysis Based on NHANES (2005–2008)

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          Abstract

          Objective

          People with poor sleep quality have higher risk of cardiovascular disease (CVD), and one potential mechanism of CVD is chronic inflammation. The aim of this study was to investigate the role of dietary inflammation in the relationship between sleep quality and CVD risk.

          Methods

          This study involved 5594 participants from the National Health and Nutrition Examination Survey (NHANES) in 2005–2008. Sleep quality, dietary inflammation, and 10-year CVD risk were evaluated via the Pittsburgh Sleep Quality Index (PSQI), the Energy-adjusted Dietary Inflammatory Index (E-DII), and the Framingham Risk Score (FRS), respectively. We used generalized additive model (GAM) and mediation analysis to investigate the relationship among sleep quality, 10-year CVD risk, and E-DII.

          Results

          PSQI had a non-linear relationship with 10-year CVD risk ( P < 0.001). Meanwhile, among the participants with poor sleep quality, PSQI was positively associated with increased 10-year CVD risk ( P < 0.001) and E-DII ( P < 0.001). Furthermore, the association between sleep quality and CVD risk was partially mediated by E-DII, and the mediated proportion was 14.6%, and the mediating effect of E-DII varied in different gender and age groups. However, in the subjects with good sleep quality, the association among PSQI, E-DII, and 10-year CVD risk was not existed.

          Conclusion

          Ten-year CVD risk could be reduced by controlling the intake of inflammatory food, especially for whom with sleep disorders. In general, the reduction of inflammatory diet could weaken the effect of sleep disorders on the CVD risk.

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          Most cited references43

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          The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research

          Despite the prevalence of sleep complaints among psychiatric patients, few questionnaires have been specifically designed to measure sleep quality in clinical populations. The Pittsburgh Sleep Quality Index (PSQI) is a self-rated questionnaire which assesses sleep quality and disturbances over a 1-month time interval. Nineteen individual items generate seven "component" scores: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction. The sum of scores for these seven components yields one global score. Clinical and clinimetric properties of the PSQI were assessed over an 18-month period with "good" sleepers (healthy subjects, n = 52) and "poor" sleepers (depressed patients, n = 54; sleep-disorder patients, n = 62). Acceptable measures of internal homogeneity, consistency (test-retest reliability), and validity were obtained. A global PSQI score greater than 5 yielded a diagnostic sensitivity of 89.6% and specificity of 86.5% (kappa = 0.75, p less than 0.001) in distinguishing good and poor sleepers. The clinimetric and clinical properties of the PSQI suggest its utility both in psychiatric clinical practice and research activities.
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            Heart Disease and Stroke Statistics—2020 Update

            Circulation
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              General cardiovascular risk profile for use in primary care: the Framingham Heart Study.

              Separate multivariable risk algorithms are commonly used to assess risk of specific atherosclerotic cardiovascular disease (CVD) events, ie, coronary heart disease, cerebrovascular disease, peripheral vascular disease, and heart failure. The present report presents a single multivariable risk function that predicts risk of developing all CVD and of its constituents. We used Cox proportional-hazards regression to evaluate the risk of developing a first CVD event in 8491 Framingham study participants (mean age, 49 years; 4522 women) who attended a routine examination between 30 and 74 years of age and were free of CVD. Sex-specific multivariable risk functions ("general CVD" algorithms) were derived that incorporated age, total and high-density lipoprotein cholesterol, systolic blood pressure, treatment for hypertension, smoking, and diabetes status. We assessed the performance of the general CVD algorithms for predicting individual CVD events (coronary heart disease, stroke, peripheral artery disease, or heart failure). Over 12 years of follow-up, 1174 participants (456 women) developed a first CVD event. All traditional risk factors evaluated predicted CVD risk (multivariable-adjusted P<0.0001). The general CVD algorithm demonstrated good discrimination (C statistic, 0.763 [men] and 0.793 [women]) and calibration. Simple adjustments to the general CVD risk algorithms allowed estimation of the risks of each CVD component. Two simple risk scores are presented, 1 based on all traditional risk factors and the other based on non-laboratory-based predictors. A sex-specific multivariable risk factor algorithm can be conveniently used to assess general CVD risk and risk of individual CVD events (coronary, cerebrovascular, and peripheral arterial disease and heart failure). The estimated absolute CVD event rates can be used to quantify risk and to guide preventive care.
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                Author and article information

                Journal
                Nat Sci Sleep
                Nat Sci Sleep
                nss
                Nature and Science of Sleep
                Dove
                1179-1608
                18 March 2022
                2022
                : 14
                : 483-492
                Affiliations
                [1 ]Department of Epidemiology and Biostatistics, School of Public Health, Jilin University , Changchun, 130021, People’s Republic of China
                Author notes
                Correspondence: Bo Li, Department of Epidemiology and Biostatistics, School of Public Health, Jilin University , 1163 Xinmin Avenue, Changchun, 130021, People’s Republic of China, Email li_bo@jlu.edu.cn
                Author information
                http://orcid.org/0000-0003-1455-9596
                Article
                357848
                10.2147/NSS.S357848
                8939873
                35330783
                c1469588-b42f-4992-a22c-e6eb974f4af8
                © 2022 Wang et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 11 January 2022
                : 10 March 2022
                Page count
                Figures: 3, Tables: 9, References: 44, Pages: 10
                Funding
                Funded by: National Natural Science Foundation of China, open-funder-registry 10.13039/501100001809;
                This work was supported by the National Natural Science Foundation of China (No.81973129).
                Categories
                Original Research

                inflammatory diet,sleep quality,cardiovascular disease,nhanes,mediation

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