The inverse association of body adiposity index and bone health in the older adults: A report from a developing country

2021 ◽  
Author(s):  
Farhang Djafari ◽  
Masoumeh Eslahi ◽  
Nadia Zandi ◽  
Benyamin Pazoki ◽  
Mohammad Reza Amini ◽  
...  
Keyword(s):  
Older Adults ◽  
Developing Country ◽  
Bone Health ◽  
Inverse Association ◽  
Body Adiposity Index ◽  
Adiposity Index ◽  
Body Adiposity

Factors Influencing Bone Mineral Density Among Adults of Delhi: A Gender Differential

2019 ◽  
Vol 21 (2) ◽  
pp. 199-209 ◽  
Author(s):  
Peteneinuo Rulu ◽  
Meenal Dhall ◽  
Renu Tyagi ◽  
Kshetrimayum Surmala Devi ◽  
Nilupher Feroz ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Older Adults ◽  
Bone Mineral ◽  
Fat Body ◽  
Mineral Density ◽  
Cross Sectional ◽  
Body Adiposity Index ◽  
Adiposity Index ◽  
Body Adiposity ◽  
Males And Females

Objective: The aim of the study was to find out the risk factor of bone mineral density (BMD). Methodology: Cross-sectional data were collected on 233 participants (males and females) with age ranging from 20 to 70 years. The subjects were divided into two groups consisting of young adults of 20–45 years and older adults of >45 years. The BMD was calculated by a heel ultrasonic test. Each subject was measured for various adiposity markers like body fat, body mass index, body shape index (BSI), body adiposity index and lifestyle parameters. Results: BSI was found to be higher among older adults in both males and females. The risk of osteoporosis and osteopenia was also seen to be significantly higher among older adults of >45 years ( p < 0.001). Various factors like age ( p < 0.001), milk intake status ( p < 0.05), education ( p < 0.01), occupation ( p < 0.05) and body adiposity index ( p < 0.05) were found to be risks for osteoporosis and osteopenia. Conclusion: In our study, BMD was found to be highly correlated with age, and the risk of osteopenia and osteoporosis increased as age increased. Illiteracy, milk consumption status, homemakers and higher body adiposity were also identified as risk factors for developing osteopenia and osteoporosis.

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 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 Body adiposity index in assessing the risk of type 2 diabetes mellitus development: the Baependi Heart Study

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Camila Maciel de Oliveira ◽  
Jessica Pavani ◽  
José Eduardo Krieger ◽  
Rafael de Oliveira Alvim ◽  
Carlos Alberto Mourão-Junior ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Body Adiposity Index ◽  
Adiposity Index ◽  
Body Adiposity ◽  
Heart Study

scholarly journals Validation Study of the Body Adiposity Index as a Predictor of Percent Body Fat in Older Individuals: Findings From the BLSA

2013 ◽  
Vol 69 (9) ◽  
pp. 1069-1075 ◽  
Author(s):  
Hui Chang ◽  
Eleanor M. Simonsick ◽  
Luigi Ferrucci ◽  
Jamie A. Cooper
Keyword(s):  
Body Fat ◽  
Validation Study ◽  
The Body ◽  
Percent Body Fat ◽  
Older Individuals ◽  
Body Adiposity Index ◽  
Adiposity Index ◽  
Body Adiposity

Validity of body adiposity index in predicting body fat in Brazilians adults

2016 ◽  
Vol 29 (1) ◽  
pp. e22901 ◽  
Author(s):  
Wellington Segheto ◽  
France Araújo Coelho ◽  
Danielle Cristina Guimarães da Silva ◽  
Pedro Curi Hallal ◽  
João Carlos Bouzas Marins ◽  
...  
Keyword(s):  
Body Fat ◽  
Body Adiposity Index ◽  
Adiposity Index ◽  
Body Adiposity

Triglycerides and waist to height ratio are more accurate than visceral adiposity and body adiposity index to predict impaired fasting glucose

2019 ◽  
Vol 153 ◽  
pp. 49-54 ◽  
Author(s):  
Cesar Ivan Elizalde-Barrera ◽  
Alberto Francisco Rubio-Guerra ◽  
Jose Juan Lozano-Nuevo ◽  
Jose Luis Olvera-Gomez
Keyword(s):  
Impaired Fasting Glucose ◽  
Fasting Glucose ◽  
Visceral Adiposity ◽  
Height Ratio ◽  
Body Adiposity Index ◽  
Adiposity Index ◽  
Body Adiposity ◽  
Waist To Height Ratio
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