Cross-Sectional Examination of Homocysteine Levels with Sarcopenia and Its Components in Memory Clinic Outpatients

2021 ◽  
pp. 1-10
Author(s):  
Yosuke Yamada ◽  
Hiroyuki Umegaki ◽  
Fumie Kinoshita ◽  
Chi Hsien Huang ◽  
Taiki Sugimoto ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Cognitive Impairment ◽  
Cognitive Function ◽  
Linear Regression ◽  
Logistic Regression Analysis ◽  
Linear Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Memory Clinic ◽  
Cross Sectional

Background: Homocysteine is a common risk factor for cognitive impairment and sarcopenia. However, very few studies have shown an association between sarcopenia and serum homocysteine levels after adjustment for cognitive function. Objective: The purpose of this study was to investigate the relationship between homocysteine and sarcopenia in memory clinic patients. Methods: This cross-sectional study investigated outpatients in a memory clinic. We enrolled 1,774 participants (≥65 years old) with measured skeletal muscle mass index (SMI), hand grip strength (HGS), and homocysteine. All participants had undergone cognitive assessments and were diagnosed with dementia, mild cognitive impairment, or normal cognition. Patient characteristics were compared according to sarcopenia presence, SMI level, or HGS. Multivariate logistic regression analysis was performed to determine the association of homocysteine with sarcopenia, low SMI, or low HGS. Next, linear regression analysis was performed using HGS as a continuous variable. Results: Logistic regression analysis showed that low HGS was significantly associated with homocysteine levels (p = 0.002), but sarcopenia and low SMI were not. In linear regression analysis, HGS was negatively associated with homocysteine levels after adjustment for Mini-Mental State Examination score (β= –2.790, p <  0.001) or clinical diagnosis of dementia (β= –3.145, p <  0.001). These results were similar for men and women. Conclusion: Our results showed a negative association between homocysteine and HGS after adjustment for cognitive function. Our findings strengthen the assumed association between homocysteine and HGS. Further research is needed to determine whether lower homocysteine levels lead to prevent muscle weakness.

ANALISIS HUBUNGAN SARANA, PENGETAHUAN, DAN SIKAP BIDAN PRAKTIK MANDIRI DENGAN KEPATUHAN MENJALANKAN STANDAR PELAYANAN ANTENATAL CARE DI KOTA PADANGSIDIMPUAN

2019 ◽  
Vol 2 (1) ◽  
pp. 27-33
Author(s):  
Megawati Sinambela ◽  
Evi Erianty Hasibuan
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Antenatal Care ◽  
Pregnant Women ◽  
Logistic Regression Analysis ◽  
Care Service ◽  
Multivariate Logistic Regression Analysis ◽  
Bivariate Analysis ◽  
Cross Sectional ◽  
The North

Antenatal care is a service provided to pregnant women to monitor, support maternal health and detect mothers whether normal or problematic pregnant women. According to the WHO, globally more than 70% of maternal deaths are caused by complications of pregnancy and childbirth such as hemorrhage, hypertension, sepsis, and abortion. Based on data obtained from the profile of the North Sumatra provincial health office in 2017, in the city of Padangsidimpuan in 2017 the coverage of ANC visits reached (76.58%) and had not reached the target in accordance with the 2017 Provincial Health Office strategy plan (95%). This type of research was an observational analytic study with a cross sectional design. The population in this study were independent practice midwives who were in the Padangsidimpuan, the sample in this study amounted to 102 respondents. The technique of collecting data used questionnaires and data analysis used univariate, bivariate and multivariate analysis with logistic regression analysis. Based on bivariate analysis showed that there was a relationship between facilities, knowledge and attitudes of independent midwives with compliance with the standards of antenatal care services with a value of p <0.05. The results of the study with multivariate logistic regression analysis showed that the factors associated with the compliance of independent midwives in carrying out antenatal care service standards were attitudes with values (p = 0.026).

scholarly journals Musculoskeletal Symptoms among Radiologists in Saudi Arabia: A Multi-Center Cross-Sectional Study

2019 ◽  
Author(s):  
Malak Al Shammari ◽  
Ali Hassan ◽  
Omran Al Dandan ◽  
Mohammed Al Gadeeb ◽  
Dalal Bubshait
Keyword(s):  
Logistic Regression ◽  
Saudi Arabia ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Online Survey ◽  
Multivariate Logistic Regression Analysis ◽  
Musculoskeletal Symptoms ◽  
Body Region ◽  
Viewing Distance ◽  
Cross Sectional

Abstract Background : Musculoskeletal symptoms account for the majority of work-related illnesses resulting in a significant economic burden on society. Computer users are subject to unique repetitive strains that predispose them to musculoskeletal symptoms. In the digitalized field of radiology, radiologists spend long hours interpreting medical images on computers. This study aimed to determine the prevalence of musculoskeletal symptoms among radiologists in Saudi Arabia and their contributing factors. Methods : An online survey was sent to radiologists in all hospitals (academic, public and private) in the major cities of the Eastern Province of Saudi Arabia covering demographic characteristics, workload (e.g. the time spent at a computer workstation), and workstation environments including the number of monitors as well as the adjustability of the height of the workstation and the viewing distance. This survey of 263 radiologists was conducted in April 2019. It included an evaluation of musculoskeletal symptoms using the Nordic Musculoskeletal Questionnaire. The study outcome was the presence of disabling musculoskeletal symptoms in any body region, which restricted the performance of normal activities in the last 12 months. Results were analyzed descriptively using a Chi-square test and logistic regression analysis to estimate the odd ratio of experiencing disabling musculoskeletal symptoms in the last 12 months. Results : The survey was completed by 198 participants (111 men and 87 women) with a response rate of 75.3%. Most participants (71.2%) were aged below 40 years. A multivariate logistic regression analysis revealed being a female radiologist (OR = 2.7; 95% CI: 1.2–6.5), aged 30–39 years (OR = 4.1; 95% CI: 1.1–15.3), and predominantly reviewing computed tomography (CT) images (OR = 4.1; 95% CI: 1.4–12.3) or ultrasound scans (OR = 5.9; 95% CI: 1.4–25.3) were associated with higher prevalence of disabling musculoskeletal symptoms, compared to those aged below 30 years and those who reviewed various imaging modalities, respectively. Conclusions : Musculoskeletal symptoms are common among radiologists with lower back and neck pain being the most frequent complaints. Being a female radiologist, aged 30–39 years, and reviewing CT or ultrasound scans were associated with higher rates of disabling musculoskeletal symptoms.

scholarly journals Musculoskeletal symptoms among radiologists in Saudi Arabia: a multi-center cross-sectional study

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Malak Al Shammari ◽  
Ali Hassan ◽  
Omran Al Dandan ◽  
Mohammed Al Gadeeb ◽  
Dalal Bubshait
Keyword(s):  
Logistic Regression ◽  
Saudi Arabia ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Online Survey ◽  
Multivariate Logistic Regression Analysis ◽  
Musculoskeletal Symptoms ◽  
Body Region ◽  
Viewing Distance ◽  
Cross Sectional

Abstract Background Musculoskeletal symptoms account for the majority of work-related illnesses resulting in a significant economic burden on society. Computer users are subject to unique repetitive strains that predispose them to musculoskeletal symptoms. In the digitalized field of radiology, radiologists spend long hours interpreting medical images on computers. This study aimed to determine the prevalence of musculoskeletal symptoms among radiologists in Saudi Arabia and their contributing factors. Methods An online survey was sent to radiologists in all hospitals (academic, public and private) in the major cities of the Eastern Province of Saudi Arabia covering demographic characteristics, workload (e.g. the time spent at a computer workstation), and workstation environments including the number of monitors as well as the adjustability of the height of the workstation and the viewing distance. This survey of 263 radiologists was conducted in April 2019. It included an evaluation of musculoskeletal symptoms using the Nordic Musculoskeletal Questionnaire. The study outcome was the presence of disabling musculoskeletal symptoms in any body region, which restricted the performance of normal activities in the last 12 months. Results were analyzed descriptively using a Chi-square test and logistic regression analysis to estimate the odd ratio of experiencing disabling musculoskeletal symptoms in the last 12 months. Results The survey was completed by 198 participants (111 men and 87 women) with a response rate of 75.3%. Most participants (71.2%) were aged below 40 years. A multivariate logistic regression analysis revealed being a female radiologist (OR = 2.7; 95% CI: 1.2–6.5), aged 30–39 years (OR = 4.1; 95% CI: 1.1–15.3), and predominantly reviewing computed tomography (CT) images (OR = 4.1; 95% CI: 1.4–12.3) or ultrasound scans (OR = 5.9; 95% CI: 1.4–25.3) were associated with higher prevalence of disabling musculoskeletal symptoms, compared to those aged below 30 years and those who reviewed various imaging modalities, respectively. Conclusions Musculoskeletal symptoms are common among radiologists with lower back and neck pain being the most frequent complaints. Being a female radiologist, aged 30–39 years, and reviewing CT or ultrasound scans were associated with higher rates of disabling musculoskeletal symptoms.

scholarly journals Loss of Integrity of Corpus Callosum White Matter Hyperintensity Penumbra Predicts Cognitive Decline in Patients With Subcortical Vascular Mild Cognitive Impairment

2021 ◽  
Vol 13 ◽  
Author(s):  
Yage Qiu ◽  
Ling Yu ◽  
Xin Ge ◽  
Yawen Sun ◽  
Yao Wang ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Function ◽  
White Matter ◽  
Linear Regression ◽  
Corpus Callosum ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
The Relationship

Loss of white matter (WM) integrity contributes to subcortical vascular mild cognitive impairment (svMCI). Diffusion tensor imaging (DTI) has revealed damage beyond the area of WM hyperintensity (WMH) including in normal-appearing WM (NAWM); however, the functional significance of this observation is unclear. To answer this question, in this study we investigated the relationship between microstructural changes in the WMH penumbra (WMH-P) and cognitive function in patients with svMCI by regional tract-based analysis. A total of 111 patients with svMCI and 72 patients with subcortical ischemic vascular disease (SIVD) without cognitive impairment (controls) underwent DTI and neuropsychological assessment. WMH burden was determined before computing mean values of fractional anisotropy (FA) and mean diffusivity (MD) within WMHs and WMH-Ps. Pearson’s partial correlations were used to assess the relationship between measurements showing significant intergroup differences and composite Z-scores representing global cognitive function. Multiple linear regression analysis was carried out to determine the best model for predicting composite Z-scores. We found that WMH burden in the genu, body, and splenium of the corpus callosum (GCC, BCC, and SCC respectively); bilateral anterior, superior, and posterior corona radiata; left sagittal stratum was significantly higher in the svMCI group than in the control group (p &lt; 0.05). The WMH burden of the GCC, BCC, SCC, and bilateral anterior corona radiata was negatively correlated with composite Z-scores. Among diffusion parameters showing significant differences across the 10 WM regions, mean FA values of WMH and WMH-P of the BCC were correlated with composite Z-scores in svMCI patients. The results of the multiple linear regression analysis showed that the FA of WMH-P of the BCC and WMH burden of the SCC and GCC were independent predictors of composite Z-score, with the FA of WMH-P of the BCC making the largest contribution. These findings indicate that disruption of the CC microstructure—especially the WMH-P of the BCC—may contribute to the cognitive deficits associated with SIVD.

scholarly journals Musculoskeletal Symptoms among Radiologists in Saudi Arabia: A Multi-Center Cross-Sectional Study

2019 ◽  
Author(s):  
Malak Al Shammari ◽  
Ali Hassan ◽  
Omran Al Dandan ◽  
Mohammed Al Gadeeb ◽  
Dalal Bubshait
Keyword(s):  
Logistic Regression ◽  
Saudi Arabia ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Online Survey ◽  
Multivariate Logistic Regression Analysis ◽  
Musculoskeletal Symptoms ◽  
Body Region ◽  
Viewing Distance ◽  
Cross Sectional

Abstract Background : Musculoskeletal symptoms account for the majority of work-related illnesses resulting in a significant economic burden on society. Computer users are subject to unique repetitive strains that predispose them to musculoskeletal symptoms. In the digitalized field of radiology, radiologists spend long hours interpreting medical images on computers. This study aimed to determine the prevalence of musculoskeletal symptoms among radiologists in Saudi Arabia and their contributing factors. Methods : An online survey was sent to radiologists in all hospitals (academic, public and private) in the major cities of the Eastern Province of Saudi Arabia covering demographic characteristics, workload (e.g. the time spent at a computer workstation), and workstation environments including the number of monitors as well as the adjustability of the height of the workstation and the viewing distance. This survey of 263 radiologists was conducted in April 2019. It included an evaluation of musculoskeletal symptoms using the Nordic Musculoskeletal Questionnaire. The study outcome was the presence of disabling musculoskeletal symptoms in any body region, which restricted the performance of normal activities in the last 12 months. Results were analyzed descriptively using a Chi-square test and logistic regression analysis to estimate the odd ratio of experiencing disabling musculoskeletal symptoms in the last 12 months. Results : The survey was completed by 198 participants (111 men and 87 women) with a response rate of 75.3%. Most participants (71.2%) were aged below 40 years. A multivariate logistic regression analysis revealed being a female radiologist (OR = 2.7; 95% CI: 1.2–6.5), aged 30–39 years (OR = 4.1; 95% CI: 1.1–15.3), and predominantly reviewing computed tomography (CT) images (OR = 4.1; 95% CI: 1.4–12.3) or ultrasound scans (OR = 5.9; 95% CI: 1.4–25.3) were associated with higher prevalence of disabling musculoskeletal symptoms, compared to those aged below 30 years and those who reviewed various imaging modalities, respectively. Conclusions : Musculoskeletal symptoms are common among radiologists with lower back and neck pain being the most frequent complaints. Being a female radiologist, aged 30–39 years, and reviewing CT or ultrasound scans were associated with higher rates of disabling musculoskeletal symptoms.

scholarly journals Impact of the COVID-19 pandemic on migraine in Japan: a multicentre cross-sectional study

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Keisuke Suzuki ◽  
Takao Takeshima ◽  
Hisaka Igarashi ◽  
Noboru Imai ◽  
Daisuke Danno ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Stepwise Linear Regression Analysis ◽  
Stepwise Linear Regression ◽  
New Onset

Abstract Objectives To assess the impacts of social situation changes due to the coronavirus disease 2019 (COVID-19) pandemic on headache-related disability and other symptoms in patients with migraine in Japan. Methods We conducted a multicentre, cross-sectional study including 659 outpatients with migraine diagnosed by headache specialists. The participants were asked about the impacts of the first wave of the COVID-19 pandemic on headache-related disability, headache days, headache intensity, stress, physical activity, hospital access and their work and home lives. For headache-related disability, the total Migraine Disability Assessment (MIDAS) score and part A and B scores were analysed. Multivariate stepwise linear regression analysis was performed to identify the clinical predictors of changes in the total MIDAS score before and during the COVID-19 pandemic. Logistic regression analysis was performed to determine the factors related to new-onset headache during the COVID-19 pandemic. Results Finally, 606 migraine patients (73 M/533 F; age, 45.2 ± 12.0 years) were included in the study, excluding those with incomplete data. Increased stress, substantial concern about COVID-19 and negative impacts of the first wave of the COVID-19 pandemic on daily life were reported in 56.8 %, 55.1 and 45.0 % of the participants, respectively. The total MIDAS and A and B scores did not significantly change after the first wave of the COVID-19 pandemic. New-onset headache, which was observed in 95 patients (15.7 %), was associated with younger age and worsened mood and sleep in the logistic regression analysis. The multivariate stepwise linear regression analysis of changes in the total MIDAS score before and during the first wave of COVID-19 pandemic identified worsened sleep, increased acute medication use, increased stress, medication shortages, comorbidities, the absence of an aura and new-onset headache were determinants of an increased total MIDAS score during the first wave of the COVID-19 pandemic. Conclusions In this multicentre study, clinical factors relevant to headache-related disability, such as new-onset headache, stress and sleep disturbances, were identified, highlighting the importance of symptom management in migraine patients during the first wave of the COVID-19 pandemic.

scholarly journals A predictive nomogram: a cross-sectional study on a simple-to-use model for screening 12-year-old children for severe caries in middle schools

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shaoying Duan ◽  
Meng Li ◽  
Jialiang Zhao ◽  
Huiyu Yang ◽  
Jinfeng He ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Cross Validation ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Dental Professionals

Abstract Background A nomogram is a tool that transforms complex regression equations into simple and visual graphs and enables clinicians and patients to conveniently compute output probabilities without needing medical knowledge and complex formulas. The aim of this study was to develop and validate a predictive nomogram to screen for severe caries among 12-year-old children based on risk factors in Sichuan Province, China. Methods A cross-sectional study of 4573 12-year-olds was conducted up to May 2016 in middle schools from three districts and three counties in Sichuan Province, China. All the children underwent oral examinations and completed questionnaires to assess general information, oral impacts on daily performance, dietary habits, subjective health conditions, history of dental trauma, frequency of toothache, dental visits, and knowledge, attitudes, and behaviours toward oral hygiene. Univariate analysis and multivariate logistic regression analysis were used to determine which variables were significantly associated with severe caries (operationalized as DMFT ≥ 3). A nomogram was developed and validated by using the ‘rms’ package and two cross-validation methods. Results Severe caries was found in 537 of the 4573 children (11.74%). Multivariate logistic regression analysis revealed that the following variables predicted a higher risk of severe caries: ‘female’ [odds ratio (OR) = 1.985, 95% confidence interval (95% CI): 1.63–2.411], ‘urban’ (OR = 2.389, 95% CI: 1.96–2.91), ‘non-only child’ (OR = 1.317, 95% CI: 1.07–1.625), ‘very poor self-assessment of oral health status’ (OR = 2.157, 95% CI: 1.34–3.467) and ‘visited a dentist less than 6 months’ (OR = 1.861, 95% CI: 1.38–2.505). Multivariate logistic regression analysis also indicated that the following variables predicted a lower risk of severe caries: ‘middle level of urbanization’ (OR = 0.395, 95% CI: 0.32–0.495) and ‘high level of urbanization’ (OR = 0.466, 95% CI: 0.37–0.596). Both the fivefold and leave-one-out cross-validation methods indicated that the nomogram model built by these 6 variables displayed good disease recognition ability. Conclusions The nomogram was a simple-to-use model to screen children for severe caries. This model was found to facilitate non-dental professionals in assessing risk values without oral examinations and making referrals to dental professionals.

scholarly journals Association of Depression with Sperm Quality: a Multicentre Cross-Sectional Study in China During the COVID-19 Pandemic

2021 ◽  
Author(s):  
Yongfeng Wang ◽  
Yuan Zhang ◽  
Yunyi Yang ◽  
Lihui Tu ◽  
Jigao Yang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Linear Regression ◽  
Logistic Regression Analysis ◽  
Semen Quality ◽  
Sperm Count ◽  
World Health ◽  
Cross Sectional ◽  
Progressive Motility ◽  
Semen Volume

Abstract Background: Depression is a potential factor affecting semen quality. However, the relationship between depression and semen quality remains to be fully elucidated. We investigated the association between depression and semen quality in men during the COVID-19 pandemic.Methods: Cross‐sectional, participants completed a questionnaire assessing lifestyle factors the Patient Health Questionnaire-9 (PHQ-9) was used to evaluate the psychological depression status of subjects. Semen quality assessment implements the requirements of the fifth edition of the World Health Organization (WHO )manual ,multivariable logistic regression analysis and linear regression analysis were conducted to assess the associations between depression and semen quality.Results: Of the 896 participants, 173 were depressed (19.30%). A Linear regression model was fitted to assess the strength and significant level of the association between depressive symptoms and semen quality. After adjusting for potential confounders, depression was significantly associated with 9.27 (95% confidence interval [CI] 3.39, 15.15), 0.57(95% CI 0.27, 0.87), 62.20 (95% CI 32.93, 91.48), and 12.96 (95% CI 10.55, 15.37) reduction in sperm concentration, sperm volume, total sperm count, and progressive motility, respectively. Which are consistent with the logistic regression analysis results. The semen concentration and total sperm count were linearly correlated with depression scores, whereas the semen volume and progressive motility of sperm were nonlinearly correlated with depression scores.Conclusions: Depression were associated with lower levels of semen concentration, semen volume, total sperm count, and progressive motility, which could affect male reproductive health.

Study Applicable for Multi-Linear Regression Analysis and Logistic Regression Analysis

2014 ◽  
Vol 8 (1) ◽  
pp. 782-786
Author(s):  
Ju Wu
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Linear Regression ◽  
Blood Sugar ◽  
Logistic Regression Analysis ◽  
Linear Regression Analysis ◽  
Modeling Method ◽  
Independent Variables ◽  
Multi Linear Regression ◽  
Relative Factors

Current study focus on using method of multi-linear regression analysis and logistic regression analysis, and discuss about the condition and scope of multi-linear regression analysis and logistic regression analysis. A modeling method has been introduced keeping in the basic principles of multi-linear regression analysis and logistic regression analysis. The modeling method and two forms of analytic methods have been analyzed, based on two clinic test data of diabetes and Model-2 diabetes as objects of study in combination with the analytic methods of multi-linear regression and logistic regression. Analysis result indicate that glycosylated hemoglobin, glycerin trilaurate, total cholesterol of serum and blood sugar concentration present obvious positive relation (P < 0.05), whereas insulin and blood sugar present negative relation(P < 0.05); body mass index (BMI) and relative factors are dangerous; physical excise and relative factors are protective. In conclusion, multi-linear regression analysis and logistic regression analysis respectively have their own emphasis; for example, multi-linear regression analysis emphasizes on analyzing linear dependent relation with an dependent variable and multiple independent variables, whereas logistic regression analysis emphasizes on analyzing the relation between probability of occurring an incident and independent variables.

scholarly journals Changes in Cognitive Function and Risk Factors for Cognitive Impairment of the Elderly in China: 2005–2014

2019 ◽  
Vol 16 (16) ◽  
pp. 2847 ◽  
Author(s):  
Qilin Zhang ◽  
Yanli Wu ◽  
Tiankuo Han ◽  
Erpeng Liu
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Cognitive Impairment ◽  
Cognitive Function ◽  
Logistic Regression Analysis ◽  
Binary Logistic Regression ◽  
The Elderly ◽  
Binary Logistic Regression Analysis ◽  
Chinese Elderly

Background: The cognitive function of the elderly has become a focus of public health research. Little is known about the changes of cognitive function and the risk factors for cognitive impairment in the Chinese elderly; thus, the purposes of this study are as follows: (1) to describe changes in cognitive function in the Chinese elderly from 2005–2014 and (2) to explore risk factors for cognitive impairment of the Chinese elderly. Design and setting: A total of 2603 participants aged 64 years and above participated in the Chinese Longitudinal Healthy Longevity Survey (CLHLS) and were followed up from 2005 to 2014. Cognitive function and cognitive impairment were assessed using the Chinese version of the Mini-Mental State Examination (MMSE). Binary logistic regression analysis was used to estimate the odds ratio (OR) and 95% confidence intervals (CI) of cognitive impairment. Results: Results revealed that the cognitive function of the Chinese elderly shows diversified changes: deterioration (55.09%), unchanged (17.21%) and improvement (27.70%). In addition, there are significant demographic differences in gender, age, education, marriage and other aspects when it comes to the changes of cognitive function in Chinese elderly. In the binary logistic regression analysis, female, increased age, lower education level, no spouse, less income, worse PWB (psychological well-being), less fresh fruit and vegetable intake, more activities of daily living (ADL) limitations, lower social engagement were significantly associated with higher odds for cognitive impairment. Conclusions: Various interventions should be implemented to maintain cognitive function in Chinese elderly.

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