scholarly journals Cutoff points of adiposity anthropometric indices for low muscle mass screening in middle-aged and older healthy women

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Rafaela Andrade do Nascimento ◽  
Mariana Carmem Apolinário Vieira ◽  
Rafaella Silva dos Santos Aguiar Gonçalves ◽  
Mayle Andrade Moreira ◽  
Maria Socorro Medeiros de Morais ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Muscle Mass ◽  
Roc Curves ◽  
Cost Effective ◽  
Visceral Adiposity Index ◽  
Middle Aged ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Adiposity Index ◽  
Cutoff Points

Abstract Background The reduction of female sex hormones causes changes in the contractile properties of muscles as well as infiltration of fat in the muscle tissue. This results in a consequent decline in muscle strength. These changes are related to higher levels of functional impairment and physical disability. In this sense, several anthropometric indices have been used to quantify body and visceral fat. Thus, the objective of this paper is to propose cutoff points for adiposity anthropometric indices in order to identify low muscle mass, as well as to analyze the relationship between these indices and low muscle mass in middle-aged and older women. Methods Cross-sectional analytical study carried out in the Northeast of Brazil. The sample was formed by 593 women between 40—80 years old. Data collection included anthropometric assessment (BMI: Body Mass Index – WC: Waist Circumference – WHR: Waist-to-hip Ratio – WHtR: Waist-to-height Ratio – CI: Conicity Index – BAI: Body Adiposity Index – VAI: Visceral Adiposity Index – LAP: Lipid Accumulation Product), bioimpedance test and biochemical dosage. Moreover, sociodemographic data and practice of physical activity were collected. Descriptive statistics, Student's t-test, ROC curves, chi-squared and logistic regression were performed. Results The participants had a mean age of 53.11 (8.89) years, BMI of 28.49 (5.17) kg/m2 and WC of 95.35 (10.39). The prevalence of low muscle mass was 19.4%. Based on sensitivity and specificity of adiposity anthropometric indices, cutoff points were developed to identify the presence of low muscle mass (p < 0.05), except for VAI. After logistic regression, WC (OR = 6.2; CI 95%: 1.4—28.1), WHR (OR = 1.8; CI: 1.0—3.4), WHtR (OR = 5.0; CI 95%: 1.0—23.7) and BAI (OR = 14.5; CI 95%: 6.6—31.7) were associated with low muscle mass. Conclusions All anthropometric indices, except VAI, showed adequate accuracy in identifying low muscle mass in women, especially those that took into account WC. This suggests that they can become accessible and also be cost-effective strategies for assessing and managing health outcomes related to muscle mass analysis.

scholarly journals Comparison of Various Obesity-Related Indices for Identification of Metabolic Syndrome: A Population-Based Study from Taiwan Biobank

Diagnostics ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1081
Author(s):  
Tai-Hua Chiu ◽  
Ya-Chin Huang ◽  
Hsuan Chiu ◽  
Pei-Yu Wu ◽  
Hsin-Ying Clair Chiou ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Predictive Performance ◽  
Roc Curves ◽  
Shape Index ◽  
Population Based ◽  
Volume Index ◽  
Visceral Adiposity Index ◽  
Adiposity Index ◽  
Tyg Index

This study aimed to evaluate the performance of 11 obesity-related indices, including body mass index (BMI), waist circumference, waist-to-height ratio, waist–hip ratio, a body shape index, abdominal volume index, body adiposity index, body roundness index, conicity index, visceral adiposity index (VAI), and triglyceride glucose (TyG) index, in identifying metabolic syndrome (MetS) in adults. The information of 5000 participants was obtained from the Taiwan Biobank. Logistic regression analyses were performed to determine the associations between MetS and obesity-related indices with odds ratio (ORs). The predictive performance of the indices to identify MetS was compared using receiver operating characteristic (ROC) curves and areas under curves (AUCs). Multivariate-adjusted logistic regression showed that the ORs for MetS increased across the quartiles of each index. ROC curves analysis demonstrated that TyG index had the greatest AUC in men (AUC = 0.850) and women (AUC = 0.890). Furthermore, VAI had the greatest AUC in men (AUC = 0.867) and women (AUC = 0.925) aged 30−50 years, while TyG index had the greatest AUC in men (AUC = 0.849) and women (AUC = 0.854) aged 51−70 years. Among the studied obesity-related indices, TyG index and VAI exhibited the best performance for identifying MetS in adults. TyG index and VAI may be the relevant indices to assess MetS in clinical practice.

scholarly journals Associations of Heavy Metals with Metabolic Syndrome and Anthropometric Indices

Nutrients ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2666 ◽  
Author(s):  
Wei-Lun Wen ◽  
Chih-Wen Wang ◽  
Da-Wei Wu ◽  
Szu-Chia Chen ◽  
Chih-Hsing Hung ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Metabolic Syndrome ◽  
Multivariable Analysis ◽  
Significant Trend ◽  
Volume Index ◽  
Visceral Adiposity Index ◽  
Anthropometric Indices ◽  
Adiposity Index ◽  
Body Adiposity ◽  
Southern Taiwan

Previous studies have revealed associations between heavy metals and extensive health problems. However, the association between heavy metals and metabolic problems remains poorly defined. This study aims to investigate relationships between heavy metals and metabolic syndrome (MetS), lipid accumulation product (LAP), visceral adiposity index (VAI), and anthropometric indices, including body roundness index (BRI), conicity index (CI), body adiposity index (BAI), and abdominal volume index (AVI). We conducted a health survey of people living in southern Taiwan. Six heavy metals were measured: lead (Pb) in blood and nickel (Ni), chromium (Cr), manganese (Mn), arsenic (As), and copper (Cu) in urine. A total of 2444 participants (976 men and 1468 women) were enrolled. MetS was defined according to the Adult Treatment Panel III for Asians. Multivariable analysis showed that participants with high urine Ni (log per 1 μg/L; odds ratio (OR): 1.193; 95% confidence interval (CI): 1.019 to 1.397; p = 0.028) and high urine Cu (log per 1 μg/dL; OR: 3.317; 95% CI: 2.254 to 4.883; p < 0.001) concentrations were significantly associated with MetS. There was a significant trend of a stepwise increase in blood Pb and urine Ni, As, and Cu according to the number of MetS components (from 0 to 5, a linear p ≤ 0.002 for trend). For the determinants of indices, urine Cu was positively correlated with LAP, BRI, CI, and VAI; blood Pb was positively correlated with BRI, BAI, and AVI; urine Ni was positively correlated with LAP. High urine Cu and urine Ni levels were significantly associated with MetS, and there was a significant trend for stepwise increases in blood Pb and urine Ni, As, and Cu, accompanied by an increasing number of MetS components. Furthermore, several indices were positively correlated with urine Cu, urine Ni, and blood Pb.

scholarly journals Diagnostic accuracy of anthropometric indices in predicting excess body fat among seven to ten-year-old children

2014 ◽  
Vol 17 (1) ◽  
pp. 243-254 ◽  
Author(s):  
Edineia Aparecida Gomes Ribeiro ◽  
Danielle Biazzi Leal ◽  
Maria Alice Altenburg de Assis
Keyword(s):  
Diagnostic Accuracy ◽  
Body Fat ◽  
Roc Curves ◽  
Cross Sectional Study ◽  
The Body ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Standardized Residuals ◽  
Highly Sensitive ◽  
Anthropometric Index

PURPOSE: To evaluate the accuracy of the body mass index (BMI), waist circumference (WC) and waist-to-height ratio (WHtR) in detecting excess body fat among schoolchildren in Florianópolis, Santa Catarina. METHODS: Cross-sectional study with 2,772 schoolchildren aged seven to ten years. Receiver Operating Characteristic (ROC) curves were used to compare the diagnostic accuracy of the BMI, the WC and the WHtR in identifying children with excess body fat (defined as values that were equal to or higher than the 90th percentile of the standardized residuals obtained from the sum of the four skinfolds thickness). Likelihood ratio estimates were used to select, for each anthropometric index, the cut-off points that presented the highest association with excess body fat. RESULTS: The BMI, WC and WHtR performed well in detecting excess body fat, indicated by areas under the ROC curve (AUC) close to 1.0, with slightly higher AUC for the BMI in comparison to the WC and the WHtR concerning both sexes. Highly sensitive and specific cut-off points were derived for the three anthropometric indices. Sensitivity ranged from 85.7 to 92.9% for the BMI, from 78.6 to 89.7% for the WC, and from 78.6 to 89.2% for the WHtR. Specificity ranged from 83.2 to 91.4%, from 75.0 to 90.7%, and from 77.4 to 88.3% for the BMI, the WC and the WHtR, respectively. CONCLUSION: BMI, WC and WHtR can be used as diagnostic tests to identify excess body fat in children from seven to ten years of age.

scholarly journals Effects of Attitude, Motivation, and Eagerness for Physical Activity among Middle-Aged and Older Adults

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Md Mizanur Rahman ◽  
Dongxiao Gu ◽  
Changyong Liang ◽  
Rao Muhammad Rashid ◽  
Monira Akter
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Positive Attitude ◽  
Sports Participation ◽  
Cost Effective ◽  
Cross Sectional Study ◽  
Middle Aged ◽  
Cross Sectional ◽  
Cost Effective Method ◽  
Global Statistics

Background. Although physical activity (PA) is a noninvasive and cost-effective method of improving the quality of health, global statistics show that only a few middle-aged and older adults engage in the recommended PAs. This is due to a lack of motivation and companionship. Objective. This study analyses the attitudes and self-determined motivation of Chinese middle-aged and older adults for PAs and their eagerness to participate in PAs such as sports, exercise, and recreational and cultural activities (RCAs), from attitudinal, eagerness, and motivational objectives of PAs perspective. Methods. A cross-sectional study was carried out on 840 middle-aged (35–54 years) and older adults (55+ years). To determine their attitude, eagerness, and self-determined motivation for PA, we used attitudinal, Eagerness for Physical Activity Scale (EPAS), and Situational Motivational Scale (SIMS). The data were analyzed with SPSS 23.0. Results. The results show that 39.1% of the participants were not satisfied with PAs. Compared with females, males reported a less positive attitude towards PAs. Moreover, a positive attitude decreases with age. Participants’ motivation and eagerness in activities such as RCAs, exercise, and sports are decreasing. Regarding self-determined motivation, there are gender differences in RCAs, but there is none for exercise and sports participation. Conclusion. The findings show the importance of RCAs and the support of family and friends enhancing the eagerness, attitude, and motivation to participate in PAs. Furthermore, the findings can help to create more effective PA programs for middle-aged and older adults. By engaging in RCAs, participants can reap the benefits of PAs. Participating in RCAs can lead to social equity in health.

scholarly journals Lipid Indices vs Anthropometric Indices in Metabolic Syndrome and Type 2 Diabetes Mellitus

2021 ◽  
Vol 8 (6) ◽  
pp. A152-157
Author(s):  
Asha Augusthy ◽  
Suchanda Sahu ◽  
Ashok Kumar Jeppu
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Type 2 Diabetes Mellitus ◽  
Visceral Adiposity ◽  
Accumulation Factor ◽  
Visceral Adiposity Index ◽  
Anthropometric Indices ◽  
Adiposity Index

Background: Diabetes mellitus is a metabolic disease known by chronic hyperglycemia which results from defective insulin action and secretion. Metabolic Syndrome consists of a constellation of metabolic abnormalities that confer increased risk of diabetes mellitus. The aim of our study is to find out whether non-invasive, clinically measurable surrogates could be useful in identifying body fat distribution and help predict metabolic syndrome and diabetes risk and to compare the performance of anthropometric indices with lipid indices in identifying metabolic syndrome and diabetes. Methods: 50 individuals with metabolic syndrome ,50 individuals with type 2 diabetes mellitus and 50 controls were selected by purposive sampling technique. For cases and controls history was taken, physical examination was done .Fasting blood sugar, Serum High density lipoprotein and Serum Triglyceride levels were estimated. Body mass index, a body shape index, visceral adiposity index, lipid accumulation factor was calculated. Results: The mean values visceral adiposity index, lipid accumulation factor were significantly increased (p<0.001) in cases compared to controls. Conclusion: Our study concluded that lipid indices visceral adiposity index, lipid accumulation factor is better than anthropometric indices like body mass index, a body shape index in predicting metabolic syndrome and type 2 diabetes mellitus. Anthropometric indices when used should be correlated with metabolic variables and clinical symptoms.

scholarly journals The relationship between the visceral adiposity index and carotid atherosclerosis in different genders and age groups

2021 ◽  
Author(s):  
Jing Cao ◽  
Shengpeng Liu ◽  
Q. Yang ◽  
Y. Zhang ◽  
J. Huang ◽  
...  
Keyword(s):  
Carotid Atherosclerosis ◽  
Elderly Women ◽  
Age Groups ◽  
Visceral Adiposity ◽  
Visceral Adiposity Index ◽  
Health Examination ◽  
Diagnostic Efficacy ◽  
Cross Sectional ◽  
Adiposity Index ◽  
Increased Risk

Abstract Objective: We aimed to investigate the possible relationship between visceral adiposity index (VAI) and carotid atherosclerosis(CAS) in different genders and age groups in China. Methods: This study was an observational cross-sectional study and included 1996 participants who were health examination population .From January 2018 to June 2019, people over 18 years old who had physical examinations were included in the study. Each participant completed a standard questionnaire, anthropometric measurements, ultrasonic examination ,and provided blood samples for biochemical measurements. Regression models were utilized to evaluate the correlation between VAI and the CAS risk. An ROC curve was utilized to predict VAI diagnostic efficacy for carotid atherosclerosis. Result: After adjusting for potential risks, high-VAI subjects had an increased OR of having CAS in women aged>44 years[OR= 3.09,95% Confdence interval (95%CI)=1.64⑶5.82, p <0.001]. In females, the AUC and sensitivity specificity were [(0.595, 76.68% and 39.85%, all females), (0.575, 78.51% and 30.37%, age ≤44), (0.609, 84.71% and 40.46%, age >44). When compared with traditional obesity indices(BMI, WC, and HC) , the predictive ability of VAI was stronger in females >44.The same relationships in males were not signifcant. Conclusions: The VAI were associated with an increased risk of CAS,and it could be selected as new and simple predictors of CAS for middle-aged and elderly women(age >44)in China .

scholarly journals Associations between probable anxiety and mood disorder and measures of alcohol and cannabis use in young, middle-aged and older adults.

2019 ◽  
Vol 1 (2) ◽  
pp. 9-19
Author(s):  
Robert E. Mann ◽  
Wah Lap Cheung ◽  
Gina Stoduto ◽  
Christine M. Wickens ◽  
Anca R. Ialomiteanu ◽  
...  
Keyword(s):  
Older Adults ◽  
Logistic Regression ◽  
General Health Questionnaire ◽  
Age Groups ◽  
Alcohol Problems ◽  
Cannabis Use ◽  
Religious Service Attendance ◽  
Middle Aged ◽  
Cross Sectional ◽  
The Impact

This study examined the associations of cannabis use, alcohol use and alcohol problems with probable anxiety and mood disorders (AMD) in young, middle-aged and older adults. Method: Data are based on the CAMH Monitor, an ongoing cross-sectional telephone survey of Ontario adults aged 18 years and older. For the purposes of the current study, a merged dataset from the years 2001 through 2009 inclusive was separated into three individual datasets: 18-34 year olds (n=4,211), 35-54 year olds (n=7,874), and 55 years of age and older (n=6,778). The survey included the 12-item version of the General Health Questionnaire, which provides a measure of probable AMD for the general population. Logistic regression analyses examined the odds of probable AMD in three age groups associated with alcohol measures (number of drinks per day and alcohol problems (AUDIT 8+)) and cannabis use, while controlling for self-reported physical health, religious service attendance, and demographic factors. Due to listwise deletion, the logistic regression models were based on reduced samples. Results: Lifetime cannabis use and past year cannabis use predicted probable AMD in young and middle-aged adults, but only lifetime cannabis use predicted probable AMD among older adults. Alcohol problems predicted probable AMD among middle aged and older adults, but not among younger adults. No consistent link between recent alcohol consumption and probable AMD was observed. Conclusion: These analyses suggest that the impact of alcohol and cannabis use and problems on probable AMD may differ across age groups.

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