Validity of simple, novel measures of generalized and central obesity among young Asian Indian women

Singhal, Neha; Mathur, Pulkit; Pathak, Renuka

doi:10.4103/0019-5359.109901

Cited by 4 publications

(2 citation statements)

References 23 publications

(28 reference statements)

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“…For example, a recent research conducted on Sri Lankan children showed strong fat mass correlations with BMI, WC, as well as hip circumference [15]. Another BC measurement study of young Asian Indian women found strong PBF correlations with BMI, WC, as well as WC to height ratio [16].…”

Section: Discussionmentioning

confidence: 97%

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2017

IJPEFS

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Body composition (BC) assessment is often conducted using one of several different field techniques, which individually are considered valid tests. Anecdotal evidence has suggested, however, that some individuals may rank relatively high when assessed by one method and relatively low when assessed by another method. This inconsistency would indicate that BC assessments have poor convergent validity. The purpose of this study was to examine the convergent validity of common BC assessments using a norm-referenced approach. A total of 67 college students participated in this measurement study and had their BC assessed by each of three different tests: percent body fat (PBF) by skinfold technique (PBFSF), waist circumference (WC), and body mass index (BMI). Two different statistical procedures were used to evaluate convergent validity of the three BC assessments. First, Cohen's weighted kappas were calculated using quartiles of each BC measure. This analysis utilized three different 4 x 4 tables from all BC measure pairs. Second, Bland and Altman limits of agreement (LOA) plots were constructed on all pairs after T-score transformation of each measure. Mean (SD) values of PBFSF (%), WC (cm), and BMI (kg/m2) were 12.3 (5.0), 87.0 (8.3), 26.8 (3.5) and 23.3 (7.0), 77.1 (8.8), 24.8 (3.2) for males and females, respectively. Simple kappas showed poor agreement across the three pairs of BC assessments and ranged from .14 to .17. The weighted kappas improved to fair agreement and ranged from .32 to .38. None of the three LOA plots showed systematic bias toward a method. However, 95% LOA were wide for PBFSF vs. WC (± 28.9), BMI vs. PBFSF (± 25.9), and BMI vs. WC (± 12.3). Results of this measurement study indicate that common BC assessments have poor convergent validity among college students. These results further indicate that BC may be a multidimensional trait, requiring a specific test depending on the specific trait of interest.

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Section: Discussionmentioning

confidence: 97%

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2017

IJPEFS

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“…A study reported the body fat of Indian women (21-30 y) in the range of 13.9-40.6% with a mean value of 25.0% [15] while another study observed the body fat of Caucasian adult women in the range of 11.6 to 53.7% with a mean value of 28.7% [11]. Fat mass index is considered as a better predictor of generalized obesity compared to body mass index and percent body fat [16]. Fat mass Index (FMI) and Fat Free Mass Index (FFMI) can recognize whether the excess or de cit of body weight is due to the change of fat mass (FM) or fat free mass (FFM) or both and can provide information about actual body composition that may better re ect nutrition status [11].…”

Section: Discussionmentioning

confidence: 99%

Association between dietary lysine intake and lean body mass among young Indian women

Aggarwal¹,

Bains²,

Kaur³

2020

Preprint

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Background: Lysine is deficient in cereal based traditional Indian diets. Inadequate lysine intakes by Indian population may influence their lean body mass, thereby posing a risk to metabolic diseases and poor fitness. This study investigated associations between intakes of protein and lysine and its existing association with lean mass among Indian women. Methods: The study was carried out among 473 women. Dietary intake of protein and lysine was estimated via 24h recall. Lean body mass based on body composition analysis was assessed. Associations between intakes of protein and lysine with fat mass index, muscle mass index and fat free mass index were analyzed by Pearson's correlation coefficients. Results: Among women positive and significant associations were found between intake of lysine and muscle mass index(r=0.221) and fat free mass index(r= 0.371). An inverse association was found between fat mass index and lysine intake(r= - 0.278). Furthermore, the dietary adequacy for protein and lysine was only 71.88 and 39.41% against the recommended levels. Conclusions: Diets of the studied population was lacking in lysine. Among women, higher lysine intakes may decrease body fat gain and increase lean body mass suggesting better physical fitness and decreased risk of metabolic diseases.

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Is inverted BMI really better than BMI in predicting body fatness in children?

Singhal

2014

Eur J Clin Nutr

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Validity of simple, novel measures of generalized and central obesity among young Asian Indian women

Cited by 4 publications

References 23 publications

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Association between dietary lysine intake and lean body mass among young Indian women

Is inverted BMI really better than BMI in predicting body fatness in children?

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