The association between PSQI score and hypertension in a Chinese rural population: the Henan Rural Cohort Study

Zhang, Haiqing; Li, Yuqian; Zhao, Xinyu; Mao, Zhenxing; Abdulai, Tanko; Liu, Xiaotian; Tu, Runqi; Wang, Yan; Qian, Xinling; Jiang, Jingjing; Tian, Zhongyan; Luo, Zhicheng; Dong, Xiaokang; Wang, Chongjian; Bie, Ronghai

doi:10.1016/j.sleep.2019.03.001

Cited by 57 publications

(43 citation statements)

References 32 publications

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“…The number of poor sleepers in the current study was much higher than the proportion reported in previous Chinese studies, which were not related to COVID-19. For example, Zhang et al [53], surveyed the sleep quality of 27,912 Chinese rural individuals aged 18e79 years and found that 21.80% of participants were getting poor sleep. Ning et al [54], found that 24.10% of 1469 HIV-infected Chinese adults (aged 18e80 years) and 19.90% of 2938 HIVuninfected participants had poor sleep quality.…”

Section: Discussionmentioning

confidence: 99%

Perceived stress and sleep quality among the non-diseased general public in China during the 2019 coronavirus disease: a moderated mediation model

et al. 2021

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Background: The 2019 coronavirus disease (COVID-19) has spread worldwide, and its associated stressors have resulted in decreased sleep quality among front-line workers. However, in China, the general public displayed more psychological problems than the front-line workers during the pandemic. Therefore, we investigated the influence of perceived stress on the sleep quality of the non-diseased general public and developed a moderated mediation model to explain said relationship. Methods: Questionnaire-based surveys were conducted online from February 18e25, 2020 with 1630 Chinese participants (aged 18e68 years). Results: Around one-third (36.38%) of participants were poor sleepers during the COVID-19 pandemic. Moreover, higher perceived stress was significantly associated with higher anxiety levels, which, in turn, was associated with lower sleep quality. Self-esteem moderated the indirect effect of perceived stress on sleep quality through its moderation of the effect of perceived stress on anxiety. This indicated that the mediation effect of anxiety was stronger in those with low levels of self-esteem than in those with high levels of self-esteem. Conclusions: These findings suggest that both the sleep quality and perceived stress levels of the nondiseased general public required attention during the COVID-19 pandemic. Our findings also identify personality characteristics related to better sleep quality, demonstrating the important role of selfesteem in environmental adaptation.

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Section: Discussionmentioning

confidence: 99%

Perceived stress and sleep quality among the non-diseased general public in China during the 2019 coronavirus disease: a moderated mediation model

et al. 2021

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“…Evidence is emerging that poor sleep quality is positively associated with physical health, mental disorders and quality of life [12,13]. For example, a large cohort study found that poor sleep quality was associated with higher odds of hypertension among a Chinese rural population [13]. Another large cohort study indicated that short sleepers with poor sleep quality had an increased risk of cardiovascular disease [14].…”

Section: Introductionmentioning

confidence: 99%

The prevalence of poor sleep quality and associated risk factors among Chinese elderly adults in nursing homes: A cross-sectional study

Zhu

Nie

et al. 2020

PLoS ONE

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Background Sleep problems have become the most common complaints among the elderly. There are a few studies that explored the prevalence of poor sleep quality and its associated factors among the elderly in nursing homes. Therefore, this study aimed to examine the prevalence of poor sleep quality and its associated factors among the Chinese elderly in nursing homes. Methods A total of 817 elderly residents, from 24 nursing homes, were included in this cross-sectional study. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), and poor sleep quality was defined as PSQI >5. Multiple binary logistic regression was used to estimate the strength of the association between risk factors and poor sleep quality in terms of adjusted odds ratios (AORs) and their 95% confidence intervals (CIs), and interactions of risk factors for poor sleep quality were also examined. Results The prevalence of poor sleep quality was 67.3% (95% CI: 64.0, 70.5%) among the Chinese elderly in nursing homes. Multiple binary logistic regression results showed that participants with the following characteristics had an increased risk of poor sleep quality after adjustments for other confounders:

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“…It should be noted that sleep quality of our sample was assessed with the validated instrument PSQI questionnaire [34]. Internal consistency of the PSQI was adequate to good among rural population in large observational studies [28].…”

Section: Discussionmentioning

confidence: 87%

Dose-response association of sleep quality with anxiety symptoms in Chinese rural population: the Henan Rural Cohort

Shen

Zhang

Wang

et al. 2020

Preprint

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Objectives The epidemiological evidence on the effect of sleep quality on anxiety symptoms has been inconclusive. This study aimed at exploring the relationship between sleep quality and anxiety symptoms in rural China and further validating the association utilizing a meta-analysis.Methods A total of 27,911 participants aged 18–79 years from the Henan Rural Cohort Study completed assessments of sleep quality. Logistic regression and restricted cubic spline analysis was conducted to evaluate the sleep quality with anxiety symptoms. A meta-analysis was used to validate the result of the cross-sectional study.Results Altogether, 6087(21.80%) were poor sleepers and 1557(5.58%) had anxiety symptoms. The odds of anxiety were increased with increment of Pittsburgh Sleep Quality Index (PSQI) score after fitting restricted cubic splines. And the poor sleep qualitywas associated with a higher possibility of anxiety symptoms OR(95%CI) (4.61, 3.71-5.73) in men, and (3.56, 3.10-4.10) in women on multivariable analysis. Further stratified analyses showed that the effect of sleep quality and anxiety symptoms could be modified by age, marital status, lifestyle and chronic disease. The meta-analysis showed that pooled OR of anxiety symptoms was significantly higher for poor sleepers (1.49, 1.41-1.56, I 2 =98.9%, P <0.001).Conclusions These findings indicate that poor sleep quality was associated with increased odds of anxiety symptoms. In addition, relationship between poor sleep quality and anxiety symptoms was observed in this rural population, especially in participants aged ≥60 years and those with unhealthy habits or had a chronic disease.

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The association between PSQI score and hypertension in a Chinese rural population: the Henan Rural Cohort Study

Cited by 57 publications

References 32 publications

Perceived stress and sleep quality among the non-diseased general public in China during the 2019 coronavirus disease: a moderated mediation model

Perceived stress and sleep quality among the non-diseased general public in China during the 2019 coronavirus disease: a moderated mediation model

The prevalence of poor sleep quality and associated risk factors among Chinese elderly adults in nursing homes: A cross-sectional study

Dose-response association of sleep quality with anxiety symptoms in Chinese rural population: the Henan Rural Cohort

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