Anthropometric Indices among U.S. Navy Divers

1983 ◽  
Author(s):  
M. L. Dembert ◽  
L. W. Mooney ◽  
J. F. Jekel
Keyword(s):  
Anthropometric Indices

Abstract #605: Anthropometric Indices Among Hiv Infected Patients in Kano, North Western Nigeria

2015 ◽  
Vol 21 ◽  
pp. 115-116
Author(s):  
Fakhraddeen Muhammad ◽  
Andrew Uloko ◽  
Ibrahim Gezawa ◽  
Mansur Ramalan ◽  
abdulrazaq habib
Keyword(s):  
Anthropometric Indices ◽  
North Western

Abstract #119: Cut-Off Levels for Anthropometric Indices to Diagnose Obesity in Asian Indians

2004 ◽  
Vol 10 ◽  
pp. 41-42
Author(s):  
Sachin K. Jain ◽  
Ritesh Panwar ◽  
Siddharth Mukerjee
Keyword(s):  
Asian Indians ◽  
Anthropometric Indices

Different degrees of overweight: anthropometric indices in patients with coronary heart disease

2009 ◽  
Vol 64 (3) ◽  
pp. 291-296
Author(s):  
S.-T. Chang ◽  
C.-M. Chu ◽  
P.-C. Lin ◽  
K.-L. Pan ◽  
H.-W. Cheng ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Anthropometric Indices

scholarly journals The Influence of Anthropometric Indices and Intermediary Determinants of Hypertension in Bangladesh

2021 ◽  
Vol 18 (11) ◽  
pp. 5646
Author(s):  
Sally Sonia Simmons ◽  
John Elvis Hagan ◽  
Thomas Schack
Keyword(s):  
Public Health ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Odds Ratio ◽  
Height Ratio ◽  
Anthropometric Parameters ◽  
Anthropometric Indices ◽  
Waist To Hip Ratio ◽  
Waist To Height Ratio

Hypertension is a major public health burden in Bangladesh. However, studies considering the underlying multifaceted risk factors of this health condition are sparse. The present study concurrently examines anthropometric parameters and intermediary factors influencing hypertension risk in Bangladesh. Using the 2018 World Health Organisation (WHO) STEPwise approach to non-communicable disease risk factor surveillance (STEPS) study conducted in Bangladesh and involving 8019 nationally representative adult respondents, bivariate and multivariate logistic regression analyses were performed to determine the association between anthropometrics, other intermediary factors and hypertension. The regression results were presented using the odds ratio (OR) and adjusted odds ratio (AOR) at 95% confidence intervals (CIs). The risk of hypertension was higher among females and males who were 40 years and older. However, among females, those who were age 60 years and older were more than twice and thrice more likely to be hypertensive compared to those in the younger age groups (18–39, 40–59). Females who were obese (body mass index [BMI], waist to hip ratio [WHR], waist to height ratio [WHtR]) or had high waist circumference [WC] were twice as likely to be hypertensive. Males and females who were physically active, consuming more fruits and vegetables daily and educated had lower odds of developing hypertension. Key findings suggest that the association between anthropometric indices (body mass index [BMI], waist to hip ratio [WHR], waist to height ratio [WHtR]), waist circumference [WC]), other intermediary determinants (e.g., education, physical activity) and hypertension exist across gender and with increasing age among adults in Bangladesh. Developing appropriate public health interventions (e.g., regular assessment of anthropometric parameters) for early identification of the risk and pattern of hypertension through appropriate screening and diagnosis is required to meet the specific health needs of the adult Bangladesh population.

Metabolic syndrome and anthropometric indices in CTS hands: an electrophysiological study

2021 ◽  
Author(s):  
Mahir Yusifov ◽  
Sezin Alpaydin Baslo ◽  
Betül Tekin ◽  
Mucahid Erdogan ◽  
Oya Ozturk ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Electrophysiological Study ◽  
Anthropometric Indices

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.

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