The variations of body mass index and body fat in adult Thai people across the age spectrum measured by bioelectrical impedance analysis

Chittawatanarat, Kaweesak; Pruenglampoo, Sakda; Kongsawasdi, Siriphan; Chuatrakoon, Busaba; Trakulhoon, Vibul; Ungpinitpong, Winai; Patumanond, Jayanton

doi:10.2147/cia.s25696

Cited by 11 publications

(11 citation statements)

References 21 publications

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“…Therefore, the present study was a pioneering endeavor to develop equations to predict body weight by anthropometric circumferential measurements. The present study separated equations divided by age groups and sex due to previous reports of variations of body composition depending on the age spectrum and sex difference and possibly interference to equation validity 17. These were demonstrated by differences of coefficient and intercepts at the same covariate equations in different age spectrums in the present study (Table 4).…”

Section: Discussionmentioning

confidence: 79%

“…Therefore, the authors proposed these two equations to predict the actual body weight. The background reason to explain these findings was unknown, but the authors suspected that these variables had less variation and conformed alterations to body weight, body composition, and stature throughout life span 17,19…”

Section: Discussionmentioning

confidence: 99%

“…The estimated sample size in each group was 250 volunteers based on differences of physiological status and body composition between younger and elderly people as well as each gender distinction 17. The authors further divided the people by age group and sex.…”

Section: Methodsmentioning

confidence: 99%

“…The authors further divided the people by age group and sex. Age was classified into two groups with a cut-off at 60 years by the official retirement age in the authors’ country as well as a previous study background in which there were different body compositions in elderly people 17. The total estimated population included in this study was 2000 healthy volunteers.…”

Section: Methodsmentioning

confidence: 99%

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Development of gender- and age group-specific equations for estimating body weight from anthropometric measurement in Thai adults

Chittawatanarat¹,

Pruenglampoo²,

Trakulhoon³

et al. 2012

IJGM

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BackgroundMany medical procedures routinely use body weight as a parameter for calculation. However, these measurements are not always available. In addition, the commonly used visual estimation has had high error rates. Therefore, the aim of this study was to develop a predictive equation for body weight using body circumferences.MethodsA prospective study was performed in healthy volunteers. Body weight, height, and eight circumferential level parameters including neck, arm, chest, waist, umbilical level, hip, thigh, and calf were recorded. Linear regression equations were developed in a modeling sample group divided by sex and age (younger <60 years and older ≥60 years). Original regression equations were modified to simple equations by coefficients and intercepts adjustment. These equations were tested in an independent validation sample.ResultsA total of 2000 volunteers were included in this study. These were randomly separated into two groups (1000 in each modeling and validation group). Equations using height and one covariate circumference were developed. After the covariate selection processes, covariate circumference of chest, waist, umbilical level, and hip were selected for single covariate equations (Sco). To reduce the body somatotype difference, the combination covariate circumferences were created by summation between the chest and one torso circumference of waist, umbilical level, or hip and used in the equation development as a combination covariate equation (Cco). Of these equations, Cco had significantly higher 10% threshold error tolerance compared with Sco (mean percentage error tolerance of Cco versus Sco [95% confidence interval; 95% CI]: 76.9 [74.2–79.6] versus 70.3 [68.4–72.3]; P < 0.01, respectively). Although simple covariate equations had more evidence errors than the original covariate equations, there was comparable error tolerance between the types of equations (original versus simple: 74.5 [71.9–77.1] versus 71.7 [69.2–74.3]; P = 0.12, respectively). The chest containing covariate (C) equation had the most appropriate performance for Sco equations (chest versus nonchest: 73.4 [69.7–77.1] versus 69.3 [67.0–71.6]; P = 0.03, respectively). For Cco equations, although there were no differences between covariates using summation of chest and hip (C+Hp) and other Cco but C+Hp had a slightly higher performance validity (C+Hp versus other Cco [95% CI]: 77.8 [73.2–82.3] versus 76.5 [72.7–80.2]; P = 0.65, respectively).ConclusionBody weight can be predicted by height and circumferential covariate equations. Cco had more Sco error tolerance. Original and simple equations had comparable validity. Chest- and C+Hp-containing covariate equations had more precision within the Sco and Cco equation types, respectively.

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Section: Discussionmentioning

confidence: 79%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Development of gender- and age group-specific equations for estimating body weight from anthropometric measurement in Thai adults

Chittawatanarat¹,

Pruenglampoo²,

Trakulhoon³

et al. 2012

IJGM

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“…Body composition was determined using bioelectrical impedance analysis (BIA 6 ; Biodynamics BIA 310e). BIA was performed in the morning, and the participants had to adhere to specific standard instructions (12,13) that included an overnight fast (i.e., no food, caffeine, alcohol), arriving adequately hydrated, and avoiding getting to the laboratory using means that require increased physical effort (i.e., walking, riding a bicycle). Upon arrival to the laboratory (;0800 h), compliance with these instructions was verbally verified and the participants urinated prior to the BIA.…”

Section: Participants and Methodsmentioning

confidence: 99%

Postprandial Spillover of Dietary Lipid into Plasma Is Increased with Moderate Amounts of Ingested Fat and Is Inversely Related to Adiposity in Healthy Older Men3

Puga

Meyer

Mandarino

et al. 2012

The Journal of Nutrition

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Adverse effects on health mediated by increased plasma FFA concentrations are well established and older individuals are particularly susceptible to these effects. We sought to determine the effects of the amount of dietary fat on increasing the plasma FFA concentrations as a result of "spillover" of dietary fat into the plasma FFA pool during the postprandial period in older men. Healthy, older participants (63-71 y old) were studied in a randomized, crossover design following ingestions of low (LF) and moderate (MF) amounts of [1,1,1-(13)C]-triolein-labeled fat, corresponding to 0.4 and 0.7 g of fat/kg body weight, respectively. Spillover of dietary fatty acids into plasma during the 8-h postprandial period (AUC; mmol L(-1) h) after MF ingestion was 1.2 times greater than that after LF ingestion (2.8 ± 0.4 vs. 1.2 ± 0.1; P < 0.05). The spillover of dietary fatty acids following the MF, but not the LF, ingestion was correlated with the percent body fat (r(s) = -0.89) and percent body fat-free mass (r(s) = 0.94) of the men (P < 0.05). After adjusting to the amount of ingested fat, the spillover of dietary fatty acids in the MF trial was disproportionally higher than that in the LF trial (P < 0.05), but the corresponding postprandial plasma TG responses did not differ between trials. In conclusion, spillover of dietary lipid into plasma is disproportionally increased at higher doses of dietary fat and this response is inversely related to adiposity in healthy men of advanced age.

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Influence of age and gender on fat mass, fat-free mass and skeletal muscle mass among Australian adults: The Australian Diabetes, Obesity and Lifestyle study (AusDiab)

Strugnell

Dunstan

Magliano

et al. 2014

J Nutr Health Aging

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The variations of body mass index and body fat in adult Thai people across the age spectrum measured by bioelectrical impedance analysis

Cited by 11 publications

References 21 publications

Development of gender- and age group-specific equations for estimating body weight from anthropometric measurement in Thai adults

Development of gender- and age group-specific equations for estimating body weight from anthropometric measurement in Thai adults

Postprandial Spillover of Dietary Lipid into Plasma Is Increased with Moderate Amounts of Ingested Fat and Is Inversely Related to Adiposity in Healthy Older Men3

Influence of age and gender on fat mass, fat-free mass and skeletal muscle mass among Australian adults: The Australian Diabetes, Obesity and Lifestyle study (AusDiab)

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