Poor sleep quality is associated with new-onset hypertension in a diverse young and middle-aged population

Yuan, Yujuan; Heizhati, Mulalibieke; Wang, Lin; Li, Mei; Lin, Mengyue; Gan, Lin; Cai, Xintian; Yang, Wenbo; Yao, Ling; Wang, Zhongrong; Abudereyimu, Reyila

doi:10.1016/j.sleep.2021.10.021

Cited by 21 publications

(13 citation statements)

References 33 publications

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“…The PSQI score was the indicator variable to cluster participants with poor or good sleep quality. In detail, poor sleep quality was defined as participants with a total PSQI score of six points or above, while good sleep quality was defined as participants with a total PSQI score of less than six points ( 16 , 22 ).…”

Section: Methodsmentioning

confidence: 99%

Prediction of sleep quality among university students after analyzing lifestyles, sports habits, and mental health

et al. 2022

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The aim of this study was to develop and validate a prediction model to evaluate the risk of poor sleep quality. We performed a cross-sectional study and enrolled 1,928 college students from five universities between September and November 2021. The quality of sleep was evaluated using the Chinese version of the Pittsburgh Sleep Quality Index (PSQI). Participants were divided into a training (n = 1,555) group and a validation (n = 373) group. The training group was used to establish the model, and the validation group was used to validate the predictive effectiveness of the model. The risk classification of all participants was performed based on the optimal threshold of the model. Of all enrolled participants, 45.07% (869/1,928) had poor sleep quality (PSQI score ≧ 6 points). Multivariate analysis showed that factors such as older age, a higher grade, previous smoking, drinking, midday rest, chronic disease, anxiety, and stress were significantly associated with a higher rate of poor sleep quality, while preference for vegetables was significantly associated with better sleep quality, and all these variables were included to develop the prediction model. The area under the curve (AUC) was 0.765 [95% confidence interval (CI): 0.742–0.789] in the training group and 0.715 (95% CI: 0.664–0.766) in the validation group. Corresponding discrimination slopes were 0.207 and 0.167, respectively, and Brier scores were 0.195 and 0.221, respectively. Calibration curves showed favorable matched consistency between the predicted and actual probability of poor sleep quality in both groups. Based on the optimal threshold, the actual probability of poor sleep quality was 29.03% (317/1,092) in the low-risk group and 66.03% (552/836) in the high-risk group (P < 0.001). A nomogram was presented to calculate the probability of poor sleep quality to promote the applicationof the model. The prediction model can be a helpful tool to stratify sleep quality, especially among university students. Some intervention measures or preventive strategies to quit smoking and drinking, eat more vegetables, avoid midday rest, treat chronic disease, and alleviate anxiety and stress may be considerably beneficial in improving sleep quality.

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Section: Methodsmentioning

confidence: 99%

Prediction of sleep quality among university students after analyzing lifestyles, sports habits, and mental health

et al. 2022

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“…Many environmental and lifestyle factors, such as air pollution, nighttime light, noise exposure, and smoking, are associated with the risk of CVDs ( 5 – 9 ). In recent decades, sleep has been recognized as an important factor associated with many health outcomes ( 10 – 13 ). Numerous observational studies have shown U- or J-shaped associations between sleep duration and CVDs, suggesting that short and long periods of sleep duration are associated with a high risk of CVDs ( 14 – 17 ).…”

Section: Introductionmentioning

confidence: 99%

Associations between sleep duration and cardiovascular diseases: A meta-review and meta-analysis of observational and Mendelian randomization studies

Wang

et al. 2022

Front. Cardiovasc. Med.

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The associations between sleep duration and cardiovascular diseases (CVDs) have been explored in many observational studies. However, the causality of sleep duration and many CVDs, such as coronary artery disease (CAD), heart failure (HF), and stroke, remains unclear. In this study, we conducted a systematic meta-review and meta-analysis of the results of observational and Mendelian randomization (MR) studies to examine how sleep duration impacts the risk of CVDs. We searched articles published in English and before 10 September 2021 in PubMed, Web of Science, and Embase. The articles were screened independently by two reviewers to minimize potential bias. We combined the meta-analyses of observational studies and 11 MR studies and summarized evidence of the effect of sleep duration on the risk of CAD, HF, stroke, and cardiovascular and all-cause mortality. Results showed that (a) evidence is accumulating that short sleep duration is a causal risk factor for CAD and HF; (b) abundant evidence from observational studies supports that long sleep duration is associated with the risk of CAD, stroke, and mortality, and long sleep duration has no causal associations with stroke and CAD in the MR studies; the causation of long sleep duration and other CVDs should be further studied; and (c) emerging evidence indicates that an increase in hours of sleep is associated with a decreased risk of CAD. Finally, we discussed the underlying pathophysiological mechanisms underlying short sleep duration and CVDs and suggested that increasing sleep duration benefits cardiovascular health.

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“…Distúrbios do sono têm sido descritos como potenciais fatores de risco para hipertensão. Em um estudo Chines, pesquisadores investigaram a associação da qualidade do sono com hipertensão de início recente, e evidenciaram que a má qualidade do sono está associada a um maior risco de hipertensão de início recente na população jovem e de meia-idade (YUAN et al, 2021).…”

Section: Hipertensão Arterial Sistê-mica E Seus Agravantes No Context...unclassified

"Hipertensão Arterial (Ha): Do Diagnóstico Ao Tratamento "

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et al. 2022

Doenças Transmissíveis E Não Transmissíveis Relevantes No Contexto Brasileiro E Mundial

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Poor sleep quality is associated with new-onset hypertension in a diverse young and middle-aged population

Cited by 21 publications

References 33 publications

Prediction of sleep quality among university students after analyzing lifestyles, sports habits, and mental health

Prediction of sleep quality among university students after analyzing lifestyles, sports habits, and mental health

Associations between sleep duration and cardiovascular diseases: A meta-review and meta-analysis of observational and Mendelian randomization studies

"Hipertensão Arterial (Ha): Do Diagnóstico Ao Tratamento "

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