scholarly journals Body adiposity index and associated factors in workers of the furniture sector

2021 ◽  
Vol 23 ◽  
Author(s):  
Renata Aparecida Rodrigues de Oliveira ◽  
Paulo Roberto dos Santos Amorim ◽  
Braúlio Parma Baião ◽  
Pedro Victor Santos Rodrigues de Oliveira ◽  
João Carlos Bouzas Marins
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Associated Factors ◽  
Density Lipoprotein ◽  
Abdominal Circumference ◽  
Activity Increase ◽  
Body Adiposity Index ◽  
Adiposity Index ◽  
Economic Class ◽  
Body Adiposity

Abstract Obesity represents one of the main cardiovascular risk factors with high prevalence among the Brazilian population. The aim of this study was to assess body adiposity index (BAI) and associated factors in workers of the furniture sector. A descriptive study was conducted with 204 workers of the furniture sector in the city of Ubá-MG of both sexes aged 20-70 years. Working sector, economic class, level of physical activity, body mass index, waist circumference, abdominal circumference, waist-to-hip ratio, systolic and diastolic blood pressure, fasting glycemia, total cholesterol, high density lipoprotein, low density lipoprotein and triglycerides were assessed. Odds ratio (RC) was used to determine the strength of association among variables. Of the total number of individuals assessed, 50% had high BAI, presenting higher anthropometric, blood pressure, glucose and triglyceride values (p <0.05). It was observed that advanced age (RC: 2.76; p = 0.002) and production sector (RC: 2.52; p = 0.045) were significantly associated with BAI. According to economic class and level of physical activity, increase in BAI was observed with reduction of economic class. It could be concluded that high percentage of increased BAI was found among workers, with association with age, working sector and economic class.

scholarly journals Association between body adiposity index and cardiovascular risk factors in teachers

2020 ◽  
Vol 22 ◽  
Author(s):  
Renata Aparecida Rodrigues de Oliveira ◽  
Osvaldo Costa Moreira ◽  
Rômulo José Mota Júnior ◽  
João Carlos Bouzas Marins
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Cardiovascular Risk ◽  
Linear Regression ◽  
Total Cholesterol ◽  
Cardiovascular Risk Factors ◽  
Abdominal Circumference ◽  
Body Adiposity Index ◽  
Adiposity Index ◽  
Body Adiposity

Abstract Body adiposity index (BAI) is a relatively recent evaluation method for the diagnosis of overweight and obesity, which takes into account simple measures. The aim of this study was to verify the association between BAI and cardiovascular risk factors in teachers. A cross-sectional study was conducted with 495 teachers from the city of Viçosa-MG. BAI, body mass index (BMI), abdominal circumference (AC), waist-to-hip ratio (WtHR), body fat percentage (%BF), systolic and diastolic blood pressure, fasting glucose, total cholesterol and triglycerides were evaluated. Associations between BAI (independent variable) and other variables (dependent variable) were evaluated through simple linear regression. Of the total participants, 32.12% presented high BAI and higher anthropometric, blood pressure and biochemical values (p<0.05). Higher percentage of high BAI was observed among men and with advancing age. Linear regression analysis showed positive association between BAI and other anthropometric measurements (p<0.001), with glucose (R²=0.024; p=0.001) and total cholesterol (R²=0.028; p<0.001). BAI was positively associated with the other anthropometric measures (BMI, %BF, AC and WtHR), and with the glucose and total cholesterol of evaluated teachers. Higher BAI was observed among men and with advancing age.

scholarly journals Correlation between antrhopometric indicators and blood pressure in adolescents

2014 ◽  
Vol 23 (4) ◽  
pp. 995-1003 ◽  
Author(s):  
Aline Viana de Oliveira ◽  
Ana Cristina Pereira de Jesus Costa ◽  
Lívia Maia Pascoal ◽  
Leonardo Hunaldo dos Santos ◽  
Emilia Soares Chaves ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Waist Circumference ◽  
Systolic Blood Pressure ◽  
Diastolic Blood Pressure ◽  
Anthropometric Measures ◽  
Cross Sectional ◽  
Body Adiposity Index ◽  
Mean Values ◽  
Adiposity Index ◽  
Body Adiposity

The objective of the present study was to analyze the correlation between anthropometric indicators and blood pressure of adolescents from Imperatriz, state of Maranhão, Brazil. It is a quantitative cross-sectional study, developed between September and November of 2012 with 218 students. We used a questionnaire to collect data regarding identification, anthropometrics, and systolic and diastolic blood pressure. Considering blood pressure, we found that 4.6%, 2.4% and 1.3% of the sample were included in the borderline, stage 1 and stage 2 hypertension categories, respectively. Among female participants, body adiposity index and skinfold presented higher mean values than those of their male counterparts. Furthermore, we observed a positive correlation between systolic blood pressure and height (r=0.18), weight (r=0.20) and waist circumference (r=0.17), and a negative correlation between diastolic blood pressure and body adiposity index (r=-0.18). The measures of neck and waist circumference were the only anthropometric measures with positive and simultaneous correlations with systolic blood pressure for both genders.

scholarly journals Physical inactivity and associated factors in adults of a basic health unit: An observational cross-sectional study

2020 ◽  
pp. 1-6 ◽  
Author(s):  
Jéssica Lucio da Silva ◽  
Rodrigo Franco de Oliveira ◽  
Larissa Dragonetti Bertin ◽  
Priscila Daniele de Oliveira ◽  
Flavia Beltrão Pires ◽  
...  
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Physical Inactivity ◽  
Associated Factors ◽  
Cross Sectional Study ◽  
Abdominal Circumference ◽  
Health Unit ◽  
Sectional Study ◽  
Cross Sectional ◽  
Basic Health

Background: Physical inactivity (PI) is one of the most important risk factors that contribute to the development of chronic diseases, including cardiovascular diseases. Objective: To analyze the prevalence and associated factors with PI in adults from a Basic Health Unit in the city of Uraí, state of Paraná. Methods: An observational, descriptive, cross-sectional study was performed at Basic Health Unit of Uraí, and 100 subjects of both genders were evaluated, the average age of 47.55 ± 17.13 years. The data collection was carried through an interview where information of sociodemographic characteristics, consumption of alcoholic beverages, tobacco use, level of physical activity (PA) (IPAQ-8, short version), information of anthropometric measures, waist circumference, and rest blood pressure were collected. The Chi-square and Odds Ratio test was used, considering 95% of confidence interval, using the statistical package SPSS, version 20.0, with a significance level of p <0.05. Results: The prevalence of PI on the sample studied was 66% in both genders. The factors significantly associated with the PI were: advanced age ≥ 40 years (p <0.01), overweight with BMI ≥ 25 (p <0.013), abdominal circumference above 102 cm in men and 88 cm (p <0.042) (P <0.001) and high blood pressure ≥130 / 85 mmHg (p <0.025). Conclusion: The prevalence of associated factors with PI it is high, which suggests the need of public policies and awareness of the importance of oriented-prevention physical activity practice.

scholarly journals High-intensity activity is more strongly associated with metabolic health in children compared to sedentary time: a cross-sectional study of the I.Family cohort

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Jonatan Fridolfsson ◽  
Christoph Buck ◽  
Monica Hunsberger ◽  
Joanna Baran ◽  
Fabio Lauria ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Insulin Resistance ◽  
Blood Pressure ◽  
Body Mass Index ◽  
High Density Lipoprotein ◽  
High Density Lipoprotein Cholesterol ◽  
Density Lipoprotein ◽  
Cross Sectional ◽  
Intensity Physical Activity

Abstract Background Physical activity (PA) during childhood is important for preventing future metabolic syndrome (MetS). To examine the relationship between PA and MetS in more detail, accurate measures of PA are needed. Previous studies have only utilized a small part of the information available from accelerometer measured PA. This study investigated the association between measured PA and MetS in children with a new method for data processing and analyses that enable more detailed interpretation of PA intensity level. Methods The association between PA pattern and risk factors related to MetS was investigated in a cross- sectional sample of children (n = 2592, mean age 10.9 years, 49.4% male) participating in the European multicenter I. Family study. The risk factors examined include body mass index, blood pressure, high-density lipoprotein cholesterol, insulin resistance and a combined risk factor score (MetS score). PA was measured by triaxial accelerometers and raw data was processed using the 10 Hz frequency extended method (FEM). The PA output was divided into an intensity spectrum and the association with MetS risk factors was analyzed by partial least squares regression. Results PA patterns differed between the European countries investigated, with Swedish children being most active and Italian children least active. Moderate intensity physical activity was associated with lower insulin resistance (R2 = 2.8%), while vigorous intensity physical activity was associated with lower body mass index (R2 = 3.6%), MetS score (R2 = 3.1%) and higher high-density lipoprotein cholesterol (R2 = 2.3%). PA of all intensities was associated with lower systolic- and diastolic blood pressure, although the associations were weaker than for the other risk factors (R2 = 1.5% and R2 = 1.4%). However, the multivariate analysis implies that the entire PA pattern must be considered. The main difference in PA was observed between normal weight and overweight children. Conclusions The present study suggests a greater importance of more PA corresponding to an intensity of at least brisk walking with inclusion of high-intense exercise, rather than a limited time spent sedentary, in the association to metabolic health in children. The methods of data processing and statistical analysis enabled accurate analysis and interpretation of the health benefits of high intensity PA that have not been shown previously.

Relative accuracy of body adiposity index and relative fat mass in participants with and without down syndrome

2018 ◽  
Vol 73 (8) ◽  
pp. 1117-1121 ◽  
Author(s):  
Michael V. Fedewa ◽  
Angela R. Russell ◽  
Brett S. Nickerson ◽  
Megan P. Fedewa ◽  
John W. Myrick ◽  
...  
Keyword(s):  
Down Syndrome ◽  
Fat Mass ◽  
Relative Accuracy ◽  
Body Adiposity Index ◽  
Adiposity Index ◽  
Body Adiposity

scholarly journals Agreement of body adiposity index (BAI) and paediatric body adiposity index (BAIp) in determining body fat in Brazilian children and adolescents

2018 ◽  
Vol 22 (1) ◽  
pp. 132-139
Author(s):  
Mariana De Santis Filgueiras ◽  
Roberta Stofeles Cecon ◽  
Eliane Rodrigues de Faria ◽  
Franciane Rocha de Faria ◽  
Patrícia Feliciano Pereira ◽  
...  
Keyword(s):  
Children And Adolescents ◽  
Body Fat ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
The Body ◽  
Body Adiposity Index ◽  
Adiposity Index ◽  
Body Adiposity ◽  
Operating Characteristic Curve ◽  
Brazilian Children

AbstractObjectiveTo evaluate agreement of the body adiposity index (BAI) and paediatric body adiposity index (BAIp) in estimating body fat compared with dual-energy X-ray absorptiometry (DXA) and to propose cut-off points for these indices to classify excess adiposity in Brazilian children and adolescents.DesignCross-sectional study. Measures of weight, height, hip circumference, BMI and body fat percentage (%BF) assessed by DXA were taken, and BAI and BAIp were calculated. The Bland–Altman plot was used to estimate agreement between the methods, and the receiver-operating characteristic curve to determine the cut-off points for BAI and BAIp per age and sex in comparison with DXA.SettingViçosa, Minas Gerais, Brazil.SubjectsChildren and adolescents aged 8–19 years (n 1049).ResultsOf the children and adolescents, 52·4 % were girls. BAI and BAIp had satisfactory performance by the receiver-operating characteristic curve, except for the 18–19 years age group, whose BAIp had better predictive capacity than BAI. The agreement analysis showed that BAI overestimated %BF by 2·64 %, on average, using DXA; while BAIp underestimated %BF by 3·37 %.ConclusionsBAI and BAIp showed low agreement with the body fat obtained by DXA, requiring caution when interpreting body composition data in children and adolescents.

scholarly journals Relationship Between Meeting 24-Hour Movement Guidelines and Cardiometabolic Risk Factors in Children

2017 ◽  
Vol 14 (10) ◽  
pp. 779-784 ◽  
Author(s):  
Peter T. Katzmarzyk ◽  
Amanda E. Staiano
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Adipose Tissue ◽  
Subcutaneous Adipose Tissue ◽  
Cardiometabolic Risk ◽  
Vigorous Physical Activity ◽  
Density Lipoprotein ◽  
Cardiometabolic Risk Factors ◽  
Subcutaneous Adipose

Background:The purpose of this study was to evaluate the relationship between adherence to pediatric 24-hour movement guidelines (moderate to vigorous physical activity, sedentary behavior, and sleep) and cardiometabolic risk factors.Methods:The sample included 357 white and African American children aged 5–18 years. Physical activity, television viewing, and sleep duration were measured using questionnaires, and the 24-hour movement guidelines were defined as ≥60 minutes per day of moderate to vigorous physical activity on ≥5 days per week, ≤ 2 hours per day of television, and sleeping 9–11 hours per night (ages 5–13 y) or 8–10 hours per night (ages 14–18 y). Waist circumference, body fat, abdominal visceral and subcutaneous adipose tissue, blood pressure, fasting triglycerides, high-density lipoprotein cholesterol, and glucose were measured in a clinical setting.Results:A total of 26.9% of the sample met none of the guidelines, whereas 36.4%, 28.3%, and 8.4% of the sample met 1, 2, or all 3 guidelines, respectively. There were significant associations between the number of guidelines met and body mass index, visceral and subcutaneous adipose tissue, triglycerides, and glucose. There were no associations with blood pressure or high-density lipoprotein cholesterol.Conclusions:Meeting more components of the 24-hour movement guidelines was associated with lower levels of obesity and several cardiometabolic risk factors. Future efforts should consider novel strategies to simultaneously improve physical activity, sedentary time, and sleep in children.

scholarly journals The validity of the body adiposity index in predicting percentage body fat and cardiovascular risk factors among Chinese

2013 ◽  
Vol 81 (3) ◽  
pp. 356-362 ◽  
Author(s):  
Zhe-Qing Zhang ◽  
Yan-Hua Liu ◽  
Ying Xu ◽  
Xiao-Wei Dai ◽  
Wen-hua Ling ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Body Fat ◽  
The Body ◽  
Body Adiposity Index ◽  
Percentage Body Fat ◽  
Adiposity Index ◽  
Body Adiposity

scholarly journals Presenting Health Status in Children Using a Radar Plot

Sports ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 53 ◽  
Author(s):  
Asgeir Mamen ◽  
Lars Erik Braaum ◽  
Per Morten Fredriksen
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Blood Pressure ◽  
Health Status ◽  
Vigorous Physical Activity ◽  
Density Lipoprotein ◽  
Activity Level ◽  
Cholesterol Concentration ◽  
Lower Systolic Blood Pressure

Background: To try out the feasibility of presenting the health status of children 6 to 12 years old by using radar plots. Methods: With data from the Health Oriented Pedagogical Project (HOPP) we have described the health status for 1340 children aged 6 to 12 years. We collected or calculated: stature, body mass, waist circumference, waist to height ratio, high density lipoprotein (HDL) and total cholesterol concentration, blood pressure, accelerometer assessed physical activity, endurance interval running performance, and quality of life. Pertinent variables were presented through a radar plot for both individual cases and groups. Results: The boys showed better endurance and recorded more moderate to vigorous physical activity than the girls. The activity level dropped from age 6 to age 12 for both sexes. The girls showed a lower systolic blood pressure compared with boys. Self-rated quality of life was high among boys and girls. Conclusions: This cohort showed good health and the radar plot made it easy to visualise health status for groups and individuals.

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