scholarly journals Sleep Disturbance is Associated With Cognitive Impairment: a Community Population-based Cross-sectional Study

2020 ◽  
Author(s):  
Fan Gao ◽  
Shan Wei ◽  
Liangjun Dang ◽  
Yao Gao ◽  
Ling Gao ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Sleep Disturbances ◽  
Population Based ◽  
Cross Sectional Study ◽  
Bivariate Analysis ◽  
Sectional Study ◽  
Cross Sectional ◽  
Community Population

Abstract Background: Sleep is an important physiological process and conducive to the elimination of brain metabolites and the recovery of brain function. However, the relationship between sleep disturbance and cognitive impairment is not fully been determined.Methods: This was a community population-based cross-sectional study. A total of 1,461 participants from a village in the suburbs of Xi’an, China were enrolled from January 3 to March 26, 2017. Sleep quality was evaluated using the Pittsburgh sleep quality index (PSQI), and sleep disturbance was defined as a PSQI score >5. Mini-mental state examination (MMSE) was used to assess cognitive function and cognitive impairment was defined as the MMSE score less than cutoff values and meets the diagnostic criteria. Univariate and multivariate analyses were used to analyze the relationships between sleep disturbance and cognitive impairment.Results: Among 1,461 subjects, 87(5.95%) had cognitive impairment, and 842 (57.63%) had sleep disturbance. In bivariate analysis, cognitive impairment was associated with insomnia (ρ=1.000, P＜0.001), age (ρ=0.172, P＜0.001) and educational level (ρ=-0.160, P＜0.001). In the binary logistic regression, cognitive impairment was positively associated with the sleep disturbance (OR=1.779, 95%CI=1.055-3.001, P=0.031). In the internal constitution of PSQI, cognitive impairment was positively associated with the sleep interference (OR=1.678; 95%CI=1.029-2.736, P=0.038), and negatively associated with the habitual sleep efficiency (OR=0.115, 95%CI=0.043-0.306, P<0.001). However, people sleep more than 8 hours a day are more likely to suffer from cognitive impairment (OR=3.174, 95%CI=1.570-6.417, P=0.001). Conclusions: Sleep disturbance is associated with cognitive impairment. However, the causal relationships between sleep disturbances and cognitive impairment are not clear. It needs to be further studied.

scholarly journals Sleep Disturbance is Associated With Higher Plasma Aβ Levels in Cognitively Normal Adults—A Population-Based Cross-Sectional Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Yao Gao ◽  
Shan Wei ◽  
Fan Gao ◽  
Ling Gao ◽  
Liangjun Dang ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
Amyloid Β ◽  
Population Based ◽  
Cross Sectional Study ◽  
Bivariate Analysis ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional

Objective: Growing evidence suggests that sleep disturbance is a risk factor for Alzheimer's disease (AD). Amyloid-β (Aβ) deposition in the brain is a main pathophysiology of AD. Considering that peripheral Aβ level is associated with brain Aβ deposition, the present study investigated the relationship between sleep disturbance and plasma Aβ levels.Methods: This is a population-based cross-sectional study. A total of 1,459 participants from a village in the suburbs of Xi'an, China, were enrolled from January 3, 2017 to March 26, 2017. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), and a PSQI score of &lt;5 points was considered as good sleep quality and a PSQI score of &gt;10 points as poor sleep quality. Cognitive function was assessed with the Mini-Mental State Examination (MMSE). Fasting venous blood was taken in the morning, and the plasma Aβ levels were measured using ELISA. The relationships between plasma Aβ levels and sleep quality were analyzed using multiple linear regression.Results: Among the participants, 231 had poor sleep quality (15.83%). The log-transformed Aβ40 level had significant differences among the different sleep groups (F = 3.216, p = 0.040). The log-transformed Aβ40 level was higher in the poor sleep quality group than that in the general sleep quality group [87.17 (73.42, 107.34) vs. 89.69 (74.81, 125.79) pg/ml, p = 0.016]. In bivariate analysis, sleep quality was negatively associated with the log-transformed plasma Aβ40 level (β = −0.025, p = 0.011).Conclusion: In the community population, poorer sleep quality is associated with a higher plasma Aβ40 level. This indicated that sleep disturbance might also involve in dysfunction of peripheral Aβ clearance.

scholarly journals Sex Differences in the Association Between Obesity and Cognitive Impairment in a Low-Income Elderly Population in Rural China: A Population-Based Cross-Sectional Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Dandan Guo ◽  
Xin Zhang ◽  
Changqing Zhan ◽  
Qiuxing Lin ◽  
Jie Liu ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Low Income ◽  
Elderly Population ◽  
Elderly Women ◽  
Rural China ◽  
Population Based ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Elderly Men ◽  
Cross Sectional

Background: Obesity is a potentially modifiable risk factor for cognitive impairment. However, sex-specific relationships between obesity and cognitive impairment in late life remain unclear.Objective: We aimed to assess sex differences in the association between various obesity parameters and cognitive impairment in a low-income elderly population in rural China.Methods: A population-based cross-sectional study was conducted to collect basic information from elderly residents aged 60 years and older from April 2014 to August 2014 in rural areas of Tianjin, China. Obesity parameters, including body mass index (BMI) and waist circumference (WC), and Mini Mental State Examination scores were measured, and the relationships between these variables were assessed.Results: A total of 1,081 residents with a mean age of 67.70 years were enrolled in this study. After adjusting for age, educational attainment, smoking status, drinking status, physical exercise participation, and the presence of diabetes and hyperlipidemia, blood pressure group; a high BMI was found to be associated with an increased prevalence of cognitive impairment in elderly women. Each 1-unit increase in BMI was associated with a 5.9% increase in the prevalence of cognitive impairment. WC was related to the prevalence of cognitive impairment in elderly men, and each 1-cm increase in WC was associated with a 4.0% decrease in the prevalence of cognitive impairment. However, there were no significant associations between WC and cognitive function in women or between BMI and cognitive impairment in men.Conclusion: A greater WC was positively associated with better cognitive function in low-income elderly men in rural China, whereas a higher BMI was associated with an increased risk of cognitive impairment in elderly women, independent of sociodemographic, lifestyle, and health-related comorbid factors. Our results suggest weight management of elderly women in rural China may have cognitive benefits. However, randomized controlled trials would be needed to confirm causality.

Sleep quality of Shanghai residents: population-based cross-sectional study

2019 ◽  
Vol 29 (4) ◽  
pp. 1055-1064 ◽  
Author(s):  
Wenjun Wu ◽  
Yonggen Jiang ◽  
Na Wang ◽  
Meiying Zhu ◽  
Xing Liu ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Population Based ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

Association between Excessive Use of Mobile Phone and Insomnia among Pakistani Teenagers Cross Sectional Study

2019 ◽  
Vol 5 (4) ◽  
pp. 10-15
Author(s):  
Lubna Farooq ◽  
Akhtar Ali ◽  
Sehrish Mahmood ◽  
Mahnoor Farzand ◽  
Hina Masood ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Mobile Phone ◽  
Sleep Disturbances ◽  
Smart Phone ◽  
Cross Sectional Study ◽  
P Value ◽  
Sectional Study ◽  
Cross Sectional ◽  
Mobile Phone Usage

Introduction:In the era of modern technology mobile phones have becoming popular, especially in teenagers. Besides of its uses there are various undesirable psychological and physical impact on heath. Aims and objectives: The purpose of this study was to access the link among Excessive Use of Smart Phone and there sleep pattern among Pakistani Adolescents. Materials and Methods: A detailed cross sectional study was performed on a total of 500 medical graduates range between 18 and 24 years who were using mobile phone atleast a year. Self-designed Questionnaire is given to them having details of their frequency and pattern of using smart phone. Sleep quality was analyzed by using Pittsburg Sleep Quality index .Chi square test was also perform to check the link between frequency of mobile phone and quality of sleep.P value < 0.005 were considered as significant. Result: Out of 500 participants, the frequency of mobile phone usage was more in males 70% as compare to females30%. Their age varied from 21to 24 with mean age of 20 ± 1.9 years.  Most of students use mobile phone in night 188 (38%)and 202 (40%) participants using mobile phone unlimited. 366 (73%) students mentioned that they start using mobile phone at intermediate level and claimed that no surveillance of the mobile phone being done by the parents . Students who were using unlimited mobile phone reported that they take more than 1 hour to sleep that showed a significant (p-value <0.001) correlation between more mobile phone use and time taken to sleep. Conclusion: The results of our study conclude that excessive mobile phone usage leads to sleep disturbances and poor quality of sleep. That may implement negative effects on student’s mental and physical health along with this it can also affect the students’ educational performance and daily life activities.

scholarly journals Prevalence of Sleep Disturbances During COVID-19 Pandemic in a Nepalese Population: A Cross-Sectional Study

2021 ◽  
Vol 18 (3) ◽  
pp. 145-153
Author(s):  
Avinash Chandra ◽  
Pooja Prakash ◽  
Nabina Sharma ◽  
Ayush Chandra
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbances ◽  
Severity Index ◽  
Cross Sectional Study ◽  
Descriptive Statistics ◽  
Sectional Study ◽  
Cross Sectional ◽  
Before And After ◽  
The Mean ◽  
Insomnia Severity

Objectives: The coronavirus disease (COVID-19) pandemic and news of daily increasing cases inside Nepal and worldwide is adding to the fear that leads to anger, anxiety, frustration, and stress, emotions that directly affect sleep quality. This study aimed to assess sleep disturbances during the COVID-19 pandemic in a Nepalese population.Methods: This cross-sectional study recruited 206 Nepali residents who completed anonymous self-administered questionnaires. The Insomnia Severity Index (ISI) questionnaire was used to measure sleep disturbances before and after the COVID-19 pandemic. The gathered data were analyzed using descriptive statistics and inferential statistics using SPSS version 20 statistical software.Results: There was a significant variation in sleep disturbances among Nepalese residents before versus after the COVID-19 pandemic (p<0.001). The prevalence of clinical moderate insomnia has increased tremendously in Nepalese individuals. Before the pandemic’s onset, only 3.9% of the participants had moderate to severe levels of clinical insomnia; after its onset, this value increased to 17.5%. The mean ISI scores were 6.35±4.65 and 8.01±6.01 before and after the pandemic’s onset, respectively.Conclusions: Our study findings suggest that people are suffering tremendously with sleep disturbances and calls for further research and active measures to help increase sleep quality during the COVID-19 pandemic.

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