ABSTRACT
Objective@#To evaluate the associations of sarcopenia, handgrip strength and calf circumference with cognitive impairment among Chinese older adults.@*Methods@#Totally 2,525 older adults were recruited from the Healthy Aging and Biomarkers Cohort Study. Cognitive impairment was assessed by the Chinese Mini-Mental State Examination. Handgrip strength was calculated from the means of the right and left hand values. Calf circumference was measured at the site of maximum circumference of the non-dominant leg. The formula developed by Ishii was used to define sarcopenia. Multiple logistic regression was performed to evaluate the associations of sarcopenia, handgrip strength, and calf circumference with cognitive impairment.@*Results@#The prevalence of cognitive impairment was 34.36%. The adjusted odds ratio ( @*Conclusion@#Sarcopenia, identified by low handgrip strength and low calf circumference, was positively associated with cognitive impairment.
Subject(s)
Aged , Aged, 80 and over , Female , Humans , Male , China/epidemiology , Cognitive Dysfunction/etiology , Hand Strength , Leg/anatomy & histology , Logistic Models , Sarcopenia/pathologyABSTRACT
To investigate the relationship of sleep duration and sleep quality with anxiety in the elderly aged 60 years and older in China. The elderly aged 60 years and older were selected from the China Short-term Health Effects of Air Pollution Study conducted between July 18, 2017 and February 7, 2018. Multivariate logistic regression models were used to analyze the association of sleep duration and sleep quality with anxiety. A total of 3 897 elderly aged 60 years and older were included in the study. The age of the elderly was (73.4±8.0) years old. Among the elderly surveyed, 6.5 were defined with anxiety, and 18.7 reported poor sleep quality. Multivariate logistic regression models showed shorter sleep duration was the risk factor for anxiety in the elderly that after adjusting for factors such as general demographics, socioeconomic factors, lifestyle, health status, social support and ambient fine particulates exposure. Compared with the elderly with 7 hours of sleep duration daily, the (95) of anxiety for those with sleep duration ≤ 6 hours was 2.09 (1.49-2.93). Compared with those with good sleep quality, the (95) of anxiety for those with poor sleep quality was 5.12 (3.88-6.77). We also found statistically significant correlations of the scores of subscales of Pittsburgh sleep quality index with anxiety, in which the effects of sleep disturbance, subjective sleep quality and daytime dysfunction scores were most obvious, the (95) were 4.63 (3.55-6.04), 2.75 (2.33-3.23) and 2.50 (2.19-2.86), respectively. Subgroup analysis showed that the association of sleep duration and sleep quality with anxiety was more obvious in males and in those aged <80 years. Shorter sleep duration and poor sleep quality are associated with anxiety in the elderly in China.
ABSTRACT
To analyze influencing factors for depressive symptoms in the elderly aged 65 years and older in 8 longevity areas in China. We recruited 2 180 participants aged 65 years and older in 8 longevity areas from Healthy Aging and Biomarkers Cohort Study, a sub-cohort of the Chinese Longitudinal Healthy Longevity Survey in 2017. Multivariate logistic regression analysis was performed to evaluate the relationships of socio-demographic characteristics, behavioral lifestyle, chronic disease prevalence, functional status, family and social support with depressive symptoms in the elderly. The detection rate of depression symptoms was 15.0 in the elderly aged 65 years and older in 8 longevity areas of China, and the detection rate of depression symptoms was 11.5 in men and 18.5 in women. Multivariate logistic regression analysis results showed that the detection rate of depressive symptoms was lower in the elderly who had regular physical exercises (=0.44, 95: 0.26-0.74), frequent fish intakes (=0.57, 95: 0.39-0.83), recreational activities (=0.65, 95: 0.44-0.96), social activities (=0.28, 95: 0.11-0.73) and community services (=0.68, 95: 0.50-0.93). The elderly who were lack of sleep (=2.04, 95: 1.49-2.80), had visual impairment (=1.54, 95: 1.08-2.18), had gastrointestinal ulcer (=2.97, 95: 1.53-5.77), had arthritis (=2.63, 95: 1.61-4.32), had higher family expenditure than income (=1.80, 95: 1.17-2.78) and were in poor economic condition (=4.58, 95: 2.48-8.47) had higher detection rate of depressive symptoms. The status of doing physical exercise, fish intake in diet, social activity participation, sleep quality or vision, and the prevalence of gastrointestinal ulcers and arthritis were associated with the detection rate of depressive symptoms in the elderly.
ABSTRACT
To establish a prediction model for 6-year incidence risk of chronic kidney disease (CKD) in the elderly aged 65 years and older in China. In this prospective cohort study, we used the data of 3 742 participants collected during 2008/2009-2014 and during 2012-2017/2018 from Healthy Aging and Biomarkers Cohort Study, a sub-cohort of the Chinese Longitudinal Healthy Longevity Survey. Two follow up surveys for renal function were successfully conducted for 1 055 participants without CKD in baseline survey. Lasso method was used for the selection of risk factors. The risk prediction model of CKD was established by using Cox proportional hazards regression models and visualized through nomogram tool. Bootstrap method (1 000 resample) was used for internal validation, and the performance of the model was assessed by C-index and calibration curve. The mean age of participants was (80.8±11.4) years. In 4 797 person years of follow up, CKD was found in 262 participants (24.8). Age, BMI, sex, education level, marital status, having retirement pension or insurance, hypertension prevalence, blood uric acid, blood urea nitrogen and total cholesterol levels and estimated glomerular filtration rate in baseline survey were used in the model to predict the 6-year incidence risk of CKD in the elderly. The corrected C-index was 0.766, the calibration curve showed good consistence between predicted probability and observed probability in high risk group, but relatively poor consistence in low risk group. The incidence risk prediction model of CKD established in this study has a good performance, and the nomogram can be used as visualization tool to predict the 6-year risk of CKD in the elderly aged 65 years and older in China.