scholarly journals Relationship between Body Mass Index and Skin Fold Thickness in Young Females

Author(s):  
Neha Mukkamala ◽  
Pooja Patel ◽  
Gauri Shankar ◽  
Jay Soni ◽  
Lata Parmar

Background: Anthropometric indicators are used to evaluate the prognosis of chronic and acute diseases, and to guide medical intervention. In anthropometry, body mass index (BMI) is widely accepted in determining obesity and skin fold thickness measurements provide good estimates of body fat. Aim: To see the relationship between BMI and skin fold thickness in young females. Study Design: Observational study Methodology: This was a cross-sectional study. Measurements of height, weight, BMI and skin fold thickness were obtained for young adult females. Triceps, suprailiac and abdomen skin fold thickness were measured by using a skin fold calliper. For skin fold thickness, all measurements were taken three times and an average value was recorded. Results: Total 251 participants took part in the study. The mean skin fold thickness in the triceps was 22±6.02 mm, abdominal was 24.41±5.84 mm, and suprailiac was 21.23±5.74 mm. There was a significant correlation seen between BMI and triceps SFT (ρ=0.816,P=0.000), BMI and Abdominal SFT (ρ=0.854,P=0.000) and BMI and suprailiac SFT (ρ=0.850,P=0.000). There was a significant association between BMI and physical activities (P=0.000). Conclusion: There was a significant correlation seen between BMI and SFT at triceps, abdominal and suprailiac region. There was a significant association between BMI and physical activities.

Author(s):  
Snehal P. Chavhan ◽  
Mandar V. Chandrachood

Background: Body mass index (BMI) and skin fold thickness are independently established methods of nutritional assessment. Present study tries to find out correlation between them.Methods: A cross sectional study was conducted in private medical college among 2nd year MBBS students. Total 24 students were sampled by purposive sampling method. After obtaining permission from Institutional Ethics committee and written informed consent from participants, study information was gathered using semi structured proforma. Anthropometric measurements were taken using standard techniques and equipments. Data was analysed using Microsoft Excel and Prism version 5.0 and appropriate tests were used considering normality of data.Results: Out of 24 study participants 14 were males and 10 were females. Mean weight was 59.29±12.59 kg, mean height was 164.77±10.28 cm, mean BMI was 21.68±3.18 kg/m2. Mean biceps skin fold thickness was 7.20±2.68 mm and mean triceps skin fold thickness was 10.75±3.33mm. Of all the participants 4 (16.67%) were having underweight BMI, 15 (62.50%) were having normal BMI, 5 (20.83%) were pre-obese. BMI correlated significantly with triceps skin fold thickness Spearman’s r=0.53, p=0.006 as compared to biceps skin fold thickness Spearman’s r=0.36, p=0.07 in complete sample. Among males BMI correlated significantly with triceps skin fold thickness Spearman’s r=0.64, p=0.01 as compared to biceps skin fold thickness.Conclusions: BMI correlates significantly with triceps skin fold thickness as compared to biceps skin fold thickness in general. Significant correlation between BMI and triceps skin fold thickness was found with males as compared to females.


2011 ◽  
Vol 2011 ◽  
pp. 1-4
Author(s):  
Subal Das ◽  
Kaushik Bose

A community-based cross-sectional study was undertaken to determine the prevalence of undernutrition using body mass index (BMI) among 2–6-year Santal preschool children of Purulia District, West Bengal, India. A total of 251 (116 boys and 135 girls) children from 12 villages were measured. Commonly used indicators, that is, weight, height, and BMI, were used to evaluate the nutritional status. More boys (59.5%) than girls (53.3%), based on BMI, were undernourished. Significant age differences in weight (F=44.29∗∗∗; df=3), height (F=58.48∗∗∗; df=3), and BMI (F=3.52∗∗∗; df=3) among boys were observed. Similarly, significant differences between ages in mean weight (F=56.27∗∗∗; df=3), height (F=64.76∗∗∗; df=3), and BMI (F=2.62∗∗∗; df=3) were observed among the girls. The present study revealed that the nutritional status of the preschool children of Santal tribal community of these villages was poor with very high rate of thinness in boys and girls (59.5% and 53.3%, resp.).


Author(s):  
Maria do Socorro Simoes ◽  
Fernando Wehrmeister ◽  
Marcello Romiti ◽  
Antonio de Toledo Gagliardi ◽  
Rodolfo Arantes ◽  
...  

We investigated if cardiorespiratory fitness modifies the association between obesity and the level of physical activity. In this cross-sectional study, we analyzed data from 746 adults, free of diagnosed cardiorespiratory or locomotor diseases. We analyzed sociodemographic and clinical information, cardiovascular risk factors, cardiorespiratory fitness, anthropometry, and level of physical activity (time spent in moderate-to-vigorous physical activity). Those that spent more time in moderate-to-vigorous physical activity were younger, male, with lower body mass index, without self-reported arterial blood hypertension, diabetes and dyslipidemia, non-smokers, and presented with better cardiorespiratory fitness. The linear regression coefficients showed that cardiorespiratory fitness changes according to the level of physical activity and body mass index (obesity in low cardiorespiratory fitness: β 6.0, p = 0.213, 95%CI -3.5 to 15.6; in intermediate cardiorespiratory fitness: β 6.3, p = 0.114, 95%CI -1.5 to 14.2; in high cardiorespiratory fitness: β -6.3, p = 0.304, 95%CI -18.4 to 5.8). This effect modification trend was present after adjusting the model by covariates. Cardiorespiratory fitness potentially modifies the association between body mass index and the level of physical activity. It should be routinely assessed to identify persons with overweight/ obesity with low/ intermediate cardiorespiratory fitness to prescribe individualized training.


2012 ◽  
Vol 23 (4) ◽  
pp. 1750-1767 ◽  
Author(s):  
J.S. Onésimo Sandoval ◽  
Jenine K. Harris ◽  
Joel P. Jennings ◽  
Leslie Hinyard ◽  
Gina Banks

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