scholarly journals Low serum albumin, aspartate aminotransferase, and body mass are risk factors for frailty in elderly people with diabetes – a cross-sectional study

2020 ◽  
Author(s):  
Toshihiko Yanase ◽  
Ikumi Yanagita ◽  
Yuya Fujihara ◽  
Chikayo Iwaya ◽  
Yuichi Kitajima ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Serum Albumin ◽  
Body Mass ◽  
Aspartate Aminotransferase ◽  
Significant Risk ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Independent Risk Factors

Abstract Background: Frailty is broadly characterized by vulnerability and decline in physical, mental and social activities and is more common in elderly patients with type 2 diabetes mellitus (T2DM). Frailty is closely associated with nutrition, muscle strength, inflammation, and hormones etc. In hormones, dehydroepiandrosterone sulfate (DHEA-S) and cortisol are suggested to be such candidates affecting frailty. Little investigation has been performed using a wider range of measures of frailty to clarify risk factors for frailty including the above two hormones. Methods: We performed a cross-sectional study to investigate the risk factors for frailty in elderly T2DM patients (n=148; ≥65 years), using a broad assessment, the clinical frailty scale. We compared parameters between the non-frail and frail groups using the unpaired t and Mann-Whitney U tests. The Jonckheere-Therpstra test was used to identify relationships with the severity of frailty and risk factors were identified using binary regression analysis.Results: Simple regression analysis identified a number of significant risk factors for frailty, including DHEAS <70 µg/dL and cortisol/DHEA-S ratio ≥0.2. Multiple regression analysis showed that low albumin (<4.0 g/dl) (odds ratio [OR]=5.79, p<0.001), low aspartate aminotransferase (AST) activity (<25 IU/L) (OR=4.34, p=0.009), and low body mass (BM) (<53 kg) (OR=3.85, p=0.012) were independent risk factors for frailty. A significant decrease in DHEA-S and a significant increase in the cortisol/DHEA-S ratio occurred alongside increases in the severity of frailty. DHEA-S concentration positively correlated with both serum albumin and BM.Conclusions: Hypoalbuminemia, low AST, and low BM are independent risk factors for frailty in elderly T2DM patients, strongly implying relative malnutrition in these frail patients. DHEA-S may be important for the maintenance of liver function and BM. A decrease in DHEA-S and an increase in the cortisol/DHEAS ratio may be involved in the mechanism of the effect of malnutrition in elderly T2DM patients. trial registration number: UMIN (number 000031357)

scholarly journals Low serum albumin, aspartate aminotransferase, and body mass are risk factors for frailty in elderly people with diabetes–a cross-sectional study

2020 ◽  
Author(s):  
Ikumi Yanagita ◽  
Yuya Fujihara ◽  
Chikayo Iwaya ◽  
Yuichi Kitajima ◽  
Misuzu Tajima ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Serum Albumin ◽  
Body Mass ◽  
Aspartate Aminotransferase ◽  
Significant Risk ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Independent Risk Factors

Abstract Background: Frailty is broadly characterized by vulnerability and decline in physical, mental and social activities and is more common in elderly patients with type 2 diabetes mellitus (T2DM). Frailty is closely associated with nutrition, muscle strength, inflammation, and hormones etc. In hormones, dehydroepiandrosterone sulfate (DHEA-S) and cortisol are suggested to be such candidates affecting frailty. Little investigation has been performed using a wider range of measures of frailty to clarify risk factors for frailty including the above two hormones. Methods: We performed a cross-sectional study to investigate the risk factors for frailty in elderly T2DM patients (n=148; ≥65 years), using a broad assessment, the clinical frailty scale. We compared parameters between the non-frail and frail groups using the unpaired t and Mann-Whitney U tests. The Jonckheere-Therpstra test was used to identify relationships with the severity of frailty, and risk factors were identified using binary regression analysis.Results: Simple regression analysis identified a number of significant risk factors for frailty, including DHEAS <70 µg/dL and cortisol/DHEA-S ratio ≥0.2. Multiple regression analysis showed that low albumin (<4.0 g/dl) (odds ratio [OR]=5.79, p<0.001), low aspartate aminotransferase (AST) activity (<25 IU/L) (OR=4.34, p=0.009), and low body mass (BM) (<53 kg) (OR=3.85, p=0.012) were independent risk factors for frailty. A significant decrease in DHEA-S and a significant increase in the cortisol/DHEA-S ratio occurred alongside increases in the severity of frailty. DHEA-S concentration positively correlated with both serum albumin and BM.Conclusions: Hypoalbuminemia, low AST, and low BM are independent risk factors for frailty in elderly T2DM patients, strongly implying relative malnutrition in these frail patients. DHEA-S may be important for the maintenance of liver function and BM. A decrease in DHEA-S and an increase in the cortisol/DHEAS ratio may be involved in the mechanism of the effect of malnutrition in elderly T2DM patients.

Low serum albumin, aspartate aminotransferase, and body mass are risk factors for frailty in elderly people with diabetes: possible mechanistic role of dehydroepiandrosterone sulfate – a cross-sectional study

2020 ◽  
Author(s):  
Toshihiko Yanase ◽  
Ikumi Yanagita ◽  
Yuya Fujihara ◽  
Chikayo Iwaya ◽  
Yuichi Kitajima ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Serum Albumin ◽  
Body Mass ◽  
Aspartate Aminotransferase ◽  
Dehydroepiandrosterone Sulfate ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Independent Risk Factors

Abstract Background: Relatively low dehydroepiandrosterone sulfate (DHEA-S) and high cortisol/DHEA ratio have been suggested to be associated with frailty, evaluated using a physical scale. However, the significance of these two hormones for frailty in elderly patients with type 2 diabetes mellitus (T2DM) has not been assessed using a wider range of measures of frailty, including physical, mental, and social indices. Methods: We performed a cross-sectional study to investigate the significance of these two hormones for frailty in elderly T2DM patients (n=148; ≥65 years), using a broad assessment, the clinical frailty scale, and to reevaluate the risk factors for frailty in elderly T2DM patients. We compared parameters between the non-frail and frail groups using the unpaired t and Mann-Whitney U tests. The Jonckheere-Therpstra test was used to identify relationships with the severity of frailty and risk factors were identified using binary regression analysis. Results: Simple regression analysis identified a number of significant risk factors for frailty, including DHEAS <70 µg/dL and cortisol/DHEA-S ratio ≥0.2. Multiple regression analysis showed that low albumin (<4.0 g/dl) (odds ratio [OR]=5.79, p <0.001), low aspartate aminotransferase (AST) activity (<25 IU/L) (OR=4.34, p =0.009), and low body mass (BM) (<53 kg) (OR=3.85, p =0.012) were independent risk factors for frailty. A significant decrease in DHEA-S and a significant increase in the cortisol/DHEA-S ratio occurred alongside increases in the severity of frailty. DHEA-S concentration positively correlated with both serum albumin and BM. Conclusions: Hypoalbuminemia, low AST, and low BM are independent risk factors for frailty in elderly T2DM patients, strongly implying relative malnutrition in these frail patients. DHEA-S may be important for the maintenance of liver function and BM. A decrease in DHEA-S and an increase in the cortisol/DHEAS ratio may be involved in the mechanism of the effect of malnutrition in elderly T2DM patients.

scholarly journals Low serum albumin, aspartate aminotransferase, and body mass are risk factors for frailty in elderly people with diabetes – a cross-sectional study

2020 ◽  
Author(s):  
Toshihiko Yanase ◽  
Ikumi Yanagita ◽  
Yuya Fujihara ◽  
Chikayo Iwaya ◽  
Yuichi Kitajima ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Serum Albumin ◽  
Body Mass ◽  
Aspartate Aminotransferase ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Physical Scale ◽  
Independent Risk Factors

Abstract Background: Relatively low dehydroepiandrosterone sulfate (DHEA-S) and high cortisol/DHEA ratio have been suggested to be associated with frailty as evaluated using a physical scale. However, the significance of these two hormones for frailty in elderly patients with type 2 diabetes mellitus (T2DM) has not been assessed using a wider range of measures of frailty, including physical, mental, and social indices.Methods: We performed a cross-sectional study to investigate the significance of these two hormones for frailty in elderly T2DM patients (n=148; ≥65 years), using a broad assessment, the clinical frailty scale, and to reevaluate the risk factors for frailty in elderly T2DM patients. We compared parameters between the non-frail and frail groups using the unpaired t and Mann-Whitney U tests. The Jonckheere-Therpstra test was used to identify relationships with the severity of frailty and risk factors were identified using binary regression analysis.Results: Simple regression analysis identified a number of significant risk factors for frailty, including DHEAS <70 µg/dL and cortisol/DHEA-S ratio ≥0.2. Multiple regression analysis showed that low albumin (<4.0 g/dl) (odds ratio [OR]=5.79, p<0.001), low aspartate aminotransferase (AST) activity (<25 IU/L) (OR=4.34, p=0.009), and low body mass (BM) (<53 kg) (OR=3.85, p=0.012) were independent risk factors for frailty. A significant decrease in DHEA-S and a significant increase in the cortisol/DHEA-S ratio occurred alongside increases in the severity of frailty. DHEA-S concentration positively correlated with both serum albumin and BM.Conclusions: Hypoalbuminemia, low AST, and low BM are independent risk factors for frailty in elderly T2DM patients, strongly implying relative malnutrition in these frail patients. DHEA-S may be important for the maintenance of liver function and BM. A decrease in DHEA-S and an increase in the cortisol/DHEAS ratio may be involved in the mechanism of the effect of malnutrition in elderly T2DM patients. trial registration number: UMIN (number 000031357)

scholarly journals Assessment of Risk Factors for Fractures in Patients with Type 2 Diabetes over 60 Years Old: A Cross-Sectional Study from Northeast China

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Yan Guo ◽  
Yingfang Wang ◽  
Feng Chen ◽  
Jiabei Wang ◽  
Difei Wang
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Regression Analysis ◽  
Fragility Fractures ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Fracture Group ◽  
Independent Risk Factors

Aims. Previous evidence has demonstrated an increased fracture risk among the population with type 2 diabetes mellitus (T2DM). This study investigated the prevalence of bone fractures in elderly subjects (with and without type 2 diabetes) and identified any fracture risk factors, especially the risk factors for common known fractures in particular diabetic populations. Methods. This cross-sectional study was conducted with community-dwelling people over 60 years old in nine communities from the city of Shenyang, which is the capital of Northeast China’s Liaoning Province. A total of 3430 elderly adults (2201 females, mean±standard deviation age 68.16±6.1 years; 1229 males, 69.16±6.7 years) were included. Our study measured the heel bone mineral density (BMD) and used the timed “up and go” (TUG) test and other indicators. In addition, we performed logistic regression analysis to explore the risk factors for fractures in the general population and the diabetic population and to analyze the differences. Results. The results revealed that a total of 201 elderly persons (5.8%), with an average age of 70.05±6.54 years, suffered from a history of fragility fractures, which affected more females (74.6%) than males (p=0.001). The prevalence of fractures in the T2DM population was 7.3%, which was much higher than the 5.2% in non-T2DM population (p<0.05). In the non-T2DM population, the BMD was lower and the TUG time was longer in the fracture group than in the nonfracture group (p<0.001). However, in the T2DM population, the BMD and TUG values were similar between the fracture group and the nonfracture group (p>0.05). Logistic regression analysis showed that the female sex (OR 1.835), TUG time>10.2 s (OR 1.602), and T‐score≤−2.5 (OR 1.750) were independent risk factors for fragility fractures in the non-T2DM population, but they were not risk factors in the T2DM population. Conclusions. This study found that low BMD and slow TUG time were independent risk factors for fractures in non-T2DM patients, while no associations were found in the T2DM population. Patients with T2DM have a higher risk for fractures even when they have sufficient BMD and a short TUG time. TUG and BMD underestimated the risk for fractures in the T2DM population.

Behavioral Risk Factors and Latino Body Mass Index: A Cross-Sectional Study in Missouri

2012 ◽  
Vol 23 (4) ◽  
pp. 1750-1767 ◽  
Author(s):  
J.S. Onésimo Sandoval ◽  
Jenine K. Harris ◽  
Joel P. Jennings ◽  
Leslie Hinyard ◽  
Gina Banks
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Sectional Study ◽  
Cross Sectional

Frequency and risk factors of internet addiction in medical students: a cross-sectional study

2021 ◽  
pp. 1-11
Author(s):  
Amina Ehsan ◽  
Farwa Iqbal ◽  
Muhammad Azeem Rao
Keyword(s):  
Risk Factors ◽  
Medical Students ◽  
Internet Addiction ◽  
Significant Risk ◽  
Sampling Technique ◽  
Total Sample ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Online Relationships ◽  
Cross Sectional

Abstract Objectives: The objectives of the study were to find out the prevalence of internet addiction and to determine the risk factors associated with internet addiction in medical students. Methods: This descriptive cross-sectional study was carried out at Rawalpindi Medical University, Rawalpindi from July 2018 to August 2019. Our study population included medical students from all the years of MBBS aged 18-25 years, who have been using the internet for the past two years or more. A Stratified random sampling technique was used. Seventy-six self-administered questionnaires were distributed in each year. Data was entered and analyzed using the Statistical Package for Social Sciences (SPSS version 25). Results: Out of the total sample of 380, the prevalence came out to be 90% (n=342). Two hundred and twenty-two 222 (58.4%) had mild, 115 (30.3%) had moderate, six (1.6%) had severe and 37 (9.7%) had no addiction. Out of the risk factors online friendships (p= 0.007), online relationships (P=0.035), online chatting (p= 0.009), online shopping (p= 0.009), online games (p=0.023) and online series/movies (p< 0.000) were statistically significant. Conclusion: The prevalence of internet addiction is high among medical students, which is mostly of a mild type. Internet addiction is more common in males and non-hostel residents. Other significant risk factors are online relationships, online gaming, and online series/movies. Keywords: Prevalence, internet, medical students, risk factors. Continuous...

scholarly journals The Study of Clustering Effects of Behavior Risk Factors in Patients with Metabolic Syndrome in Southern China: A Cross-Sectional Study

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Huiwu Han ◽  
Fan Zheng ◽  
Weiwei Dai ◽  
Hua Peng ◽  
Shi Zhou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Salty Taste ◽  
Clustering Effect

Objectives. Metabolic syndrome (MetS) is now becoming a serious public health threat. Some behaviors risk factors were considered to be associated with MetS and interacted to adversely affect MetS. However, the clustering effects of behavior risk factors of MetS among Chinese population remain unclear. The aim of this study is to observe the behavior risk factors and their clustering effects of MetS in China. Methods. A cross-sectional study design was used. Subjects were recruited in the departments of Cardiology Clinic, Endocrine Clinic, and Health Management from March to December 2019. A demographic sheet was designed to collect the demographic and clinical characteristics of the subjects. International Physical Activity Questionnaire-Short was applied to evaluate the level of PA in this study. Other behavior risk factors were observed by the questionnaire. The stepwise logistic regression analysis was performed to identify the determinants of MetS. The multiple logistic regression analysis was used to analyze the clustering effects of behavior risk factors in MetS. Results. There are a total of 532 eligible subjects (56.6% females; mean age was 48.4±15.3 years), and approximately 33.3% were diagnosed as MetS. The subjects with a smoking habit (heavy and long-time history) had a 1.833-fold higher risk for MetS than their counterparts (none and light smoking), and the subjects that preferred salty taste had a 1.626-fold higher risk for MetS than the comparison cohort. Smoking and alcohol drinking had the highest clustering effect on MetS among the behavior risk factors. Conclusions. The main finding of this study was that smoking and salty taste preference were the independent determinants of MetS. Smoking and alcohol consumption had the highest clustering effect on southern Chinese MetS.

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