A community-based cross-sectional study of sleep quality in middle-aged and older adults

2016 ◽  
Vol 26 (4) ◽  
pp. 923-933 ◽  
Author(s):  
Hui-Shan Zhang ◽  
Yuan Li ◽  
Hai-yun Mo ◽  
De-Xing Qiu ◽  
Jing Zhao ◽  
...  
2021 ◽  
Vol 9 ◽  
pp. 205031212110400
Author(s):  
Kemal Jemal ◽  
Tinsae Abeya Geleta ◽  
Berhanu Senbeta Deriba ◽  
Mukemil Awol

Objectives: The coronavirus disease 2019 pandemic has caused high morbidity and mortality in older adults over the world. Because the coronavirus disease 2019 pandemic greatly affects older adults who have a preexisting health condition, they are generally susceptible to a high incidence of severe symptoms of anxiety and depression. Therefore, we aimed to assess the prevalence of anxiety and depression symptoms in older adults during the coronavirus disease 2019 pandemic. Methods: Community-based cross-sectional study was completed in August 2020. Standardized and pretested General Anxiety Disorder–7 and Geriatric Depression Scale were used to screen the symptoms of anxiety and depression, respectively. Data were entered into EpiData (version 4.3.2) and transferred to SPSS (version 24) for further analysis. Bivariate and multivariate logistic regression analyses were carried out to determine the significantly associated variables with a 95% confidence interval at p < 0.05. Results: Of the total older adults interviewed, 68.7% had developed symptoms of anxiety and 59.9% had symptoms of depression during the coronavirus disease 2019 pandemic. Female participants, having a chronic disease and poor knowledge of the coronavirus disease 2019 pandemic, were significantly associated with anxiety symptoms. Age category of 81 to 90 and above 90, lack of social support, and having a chronic disease were significantly associated with symptoms of depression. Conclusion: The symptoms of anxiety and depression among older adults in the North Shoa Zone during coronavirus disease 2019 were higher than before the coronavirus disease 2019 happened. The results were evidence points for developing a psychological intervention to tackle the older adults’ mental health needs in the community during and after the coronavirus disease 2019 pandemic.


2020 ◽  
Author(s):  
Dong-Hyuk Jung ◽  
Byoung Jin Park ◽  
Yong-Jae Lee

Abstract Background: Leukoaraiosis refers to lesions of high signal intensity in the periventricular and subcortical white matter that result from chronic microvascular ischemic damage to the brain. Increasing evidence suggests that the triglyceride glucose (TyG) index is associated with arterial stiffness and cardiovascular disease, which are both closely related to ischemic arterial damage. We hypothesized that the serum TyG index could be associated with cerebrovascular microangiopathy as measured by leukoaraiosis among middle-aged and older adults.Methods: This cross-sectional study included 2,162 Korean adults aged ≥45 years who participated in a health examination program between 2010 and 2011. TyG index was calculated as Ln (fasting triglycerides (mg/dl) × fasting blood glucose (mg/dl)/2). TyG index quartiles were categorized as follows: Q1, ≤8.12; Q2, 8.13-8.50 Q2, 8.51-8.89; and Q4, ≥8.90. The odds ratios (ORs) and 95% confidence intervals (95% CIs) for leukoaraiosis based on brain MRI scans were calculated across TyG index quartiles using multiple logistic regression analysis.Results: The overall prevalence of leukoaraiosis was 5.4% and increased with serum TyG index quartiles. Compared to the lowest quartile, the ORs (95% CIs) of the highest TyG index quartile for leukoaraiosis was 2.37 (1.17-4.79) after adjusting for age, sex, body mass index, smoking status, alcohol intake, regular exercise, mean arterial pressure, total cholesterol, HDL cholesterol levels, hypertension, and type 2 diabetes.Conclusions: The serum TyG index was positively and independently associated with leukoaraiosis. Our findings indicate that the TyG index might be a useful additional measure for assessing cerebrovascular microangiopathy in clinical settings.


2021 ◽  
Vol 23 (23) ◽  
Author(s):  
Aparna Ravichandran ◽  
Dr. Nisha B ◽  
Dr. Gomathy Parasuram ◽  
Ruma Dutta ◽  
Dr. Timsi Jain

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