Anthropometric features in predicting insulin resistance among non-menopausal Indonesian adult females

AbstractIntroduction. The prevalence of obesity is increasing worldwide in high, low, and middle-income countries such as Indonesia. Obesity rate is higher in females in Indonesia. Obesity has important contribution in the occurrence of insulin resistance (IR) and type 2 diabetes mellitus. Several anthropometric measurements such as waist circumference (WC), body mass index (BMI), body mass (BM), total body fat percentage (Fat%) and visceral fat (VF) are related to IR. This study aimed to investigate which of those measurements could be used as a better predictor of IR in non-menopausal Indonesian adult females.Methods. Total of 80 non-menopausal Indonesian adult females ranging from 21 to 40 years were recruited in this study. Insulin resistance was measured by using Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) equation. Subjects with HOMA-IR index >75th percentile with cut-off 2.74 were defined as IR. Waist circumference, BMI and BM were measured, while TF and VF were measured by bioelectrical impedance analysis (BIA).Results. HOMA-IR had significant correlation with WC (r = 0.563, p < 0.001), BMI (r = 0.537, p < 0.001), BM (r = 0.515, p < 0.001), VF (r = 0.515, p < 0.001), Fat% (r = 0.490, p < 0.001). The area under curve of VF (0.809), BMI (0.807), WC (0.805), and BM (0.799) are slightly larger than and Fat% (0.766).Conclusion. Insulin resistance had strong correlation with all anthropometric measurements, but the correlation was less significant with Fat%.

Download Full-text

Body Mass, Total Body Fat and Visceral Fat Percentage Predict Insulin Resistance Better Than Waist Circumference and Body Mass Index in Healthy Young Male Adult in Indonesia

10.20944/preprints201802.0187.v1 ◽

2018 ◽

Cited By ~ 1

Author(s):

Liong Boy Kurniawan ◽

Uleng Bahrun ◽

Mochammad Hatta ◽

Mansyur Arif

Keyword(s):

Insulin Resistance ◽

Body Mass Index ◽

Body Weight ◽

Waist Circumference ◽

Body Mass ◽

Young Male ◽

Anthropometric Measurements ◽

Fat Percentage ◽

Male Adult ◽

Young Male Adult

The incidence of obesity which leads to insulin resistance (IR) and metabolic disorder increases in developing countries including Indonesia. Male adult has higher risk to have abdominal obesity than female which is associated with cardiometabolic disorders. Several anthropometric measurements have been proposed to predict IR. The aim of this study was to investigate whether body mass, body mass index (BMI), waist circumference (WC), body fat percentage (BF) or visceral fat percentage (VF) could become a better predictor of IR in healthy young male adult. Total of 140 healthy young male adults ranging from 18-25 years were recruited in the study. Insulin resistance was measured by calculating Homeostatic Model Assessment for Insulin Resistance (HOMA-IR). Subjects with HOMA-IR value >75th percentile with cut off 3.75 were defined as IR. Anthropometric measurements included body weight, BMI, WC were performed whereas BF and VC were measured by bioelectrical impedance analysis (BIA). IR had significant strong correlation with body weight, BMI, WC, BF and VF. The area under curve of body mass, BF, VF were greater than WC and BMI. Anthropometric measurements correlated strongly with IR but body weight, BF, VF have stronger correlation than WC and BMI in healthy young male adult.

Download Full-text

Body mass index and waist circumference are better predictors of insulin resistance than total body fat percentage in middle-aged and elderly Taiwanese

Medicine ◽

10.1097/md.0000000000008126 ◽

2017 ◽

Vol 96 (39) ◽

pp. e8126 ◽

Cited By ~ 19

Author(s):

Yiu-Hua Cheng ◽

Yu-Chung Tsao ◽

I-Shiang Tzeng ◽

Hai-Hua Chuang ◽

Wen-Cheng Li ◽

...

Keyword(s):

Insulin Resistance ◽

Body Mass Index ◽

Waist Circumference ◽

Body Mass ◽

Body Fat ◽

Body Fat Percentage ◽

Middle Aged ◽

Fat Percentage ◽

Total Body Fat ◽

Total Body

Download Full-text

Circulating FGF21 levels are related to nutritional status and metabolic but not hormonal disturbances in polycystic ovary syndrome

Acta Endocrinologica ◽

10.1530/eje-14-0539 ◽

2015 ◽

Vol 172 (2) ◽

pp. 173-179 ◽

Cited By ~ 7

Author(s):

Magdalena Olszanecka-Glinianowicz ◽

Paweł Madej ◽

Michał Wdowczyk ◽

Aleksander Owczarek ◽

Jerzy Chudek

Keyword(s):

Insulin Resistance ◽

Waist Circumference ◽

Polycystic Ovary Syndrome ◽

Nutritional Status ◽

Polycystic Ovary ◽

Fibroblast Growth Factor 21 ◽

Model Assessment ◽

Fat Percentage ◽

Anthropometric Parameters ◽

Ovary Syndrome

ObjectiveThe aim of this study was to analyse relationships between plasma fibroblast growth factor 21 (FGF21) levels and nutritional status, and metabolic and hormonal disturbances in polycystic ovary syndrome (PCOS) women.Design and settingA cross-sectional study involving 85 PCOS (48 obese) and 72 non-PCOS women (41 obese) was conducted to evaluate the relationship between FGF21 levels and PCOS.MethodsAnthropometric parameters and body composition were determined. In the fasting state; serum concentrations of glucose, androgens, FSH, LH, SHBG, insulin and FGF21 were measured.ResultsPlasma FGF21 levels were significantly higher in obese women compared with normal-weight women in both PCOS and non-PCOS subgroups (120.3 (18.2–698) vs 62.3 (16.4–323.6) pg/ml, P<0.05 and 87.2 (12.9–748.4) vs 62.9 (18.0–378.8) pg/ml, P<0.05 respectively). Additionally, circulating FGF21 levels were significantly higher in the obese PCOS subgroup compared with the non-PCOS subgroup (120.3 (18.2–698.0) vs 87.2 (12.9–748.4) pg/ml, P<0.05). Circulating FGF21 levels were proportional to BMI (R=0.27; P<0.001), body fat mass (R=0.24; P<0.01) and percentage (R=0.24; P<0.01), as well as waist circumference (R=0.26; P<0.01). Additionally, plasma insulin and homeostasis model assessment of insulin resistance (HOMA-IR) values were related to FGF21 levels (R=0.44; P<0.001 and R=0.19; P<0.05 respectively). In multiple regression analysis, circulating FGF21 level variability was explained by HOMA-IR values and fat percentage, as well as waist circumference, but not correlated with oestradiol levels and free androgen index values.ConclusionsHigher circulating FGF21 levels are related to nutritional status and insulin resistance independent of PCOS. Increased FGF21 is associated with metabolic but not hormonal disturbances.

Download Full-text

Blood pressure and lipid profile in young women: the role of anthropometric measurement

Revista Brasileira de Educação Física e Esporte ◽

10.1590/1807-55092014000400553 ◽

2014 ◽

Vol 28 (4) ◽

pp. 553-560 ◽

Cited By ~ 1

Author(s):

Marcelo Custódio Rubira ◽

Ana Paula Fernandes de Angelis Rubira ◽

Lucas De Angelis Rubira ◽

Milton Carlos Martins Lima ◽

Roberto Jorge da Silva Franco ◽

...

Keyword(s):

Blood Pressure ◽

Body Mass Index ◽

Body Mass ◽

Body Fat ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Anthropometric Measurement ◽

Normal Body Mass Index ◽

Fat Percentage ◽

Mortality And Morbidity

Body composition has fundamental importance in the quality of life and is a powerful predictor of mortality and morbidity in humans. The identification and monitoring of the amount of body fat have been receiving special attention in aspects related to health promotion, not just for its actions in the prevention and in the control of cardiovascular diseases but also for their induction and association with risk factors, especially in the plasmatic lipid levels and arterial pressure. It was investigated the relationship between body mass index (BMI) and body fat percentage (%BF) by bioelectrical impedance analysis (BIA) with the blood pressure levels (systolic and diastolic) and serum lipids (TC, HDL-c, LDL-c, VLDL-c, TG). In a group of fifty seven women (aged 18 to 26 years old ), obesity was detected in 5 and 19 women by BMI (≥ 30 kg/m2) and %BF (≥ 30%), respectively. BMI and % BF were positively correlated with blood pressure (systolic and diastolic), and highly significant in the obese group by %BF. Moreover, BMI and % BF were significantly correlated with all lipids and lipoprotein fractions VLDL-c and triglyceride, respectively. These results suggest that %BF is a good indicator of “occult obesity” in subjects with normal body mass index. The associated use of BMI and %BF to better evaluate obesity may improve the study of blood pressure levels and serum lipid changes that are commonly associated with obesity.

Download Full-text

Pentraxin 3 Levels in Young Women with and without Polycystic Ovary Syndrome (PCOS) in relation to the Nutritional Status and Systemic Inflammation

International Journal of Endocrinology ◽

10.1155/2020/1380176 ◽

2020 ◽

Vol 2020 ◽

pp. 1-7

Author(s):

Katarzyna Wyskida ◽

Grzegorz Franik ◽

Piotr Choręza ◽

Natalia Pohl ◽

Leszek Markuszewski ◽

...

Keyword(s):

Insulin Resistance ◽

Waist Circumference ◽

Nutritional Status ◽

Normal Weight ◽

Model Assessment ◽

Pentraxin 3 ◽

Fat Percentage ◽

Pcos Group ◽

Positive Correlations ◽

Estradiol Levels

Objective. The aim of the study was to assess PTX3 levels in PCOS and non-PCOS women in relation to nutritional status and circulating markers of inflammation. Methods. The study enrolled 99 stable body mass PCOS women (17 normal weight, 21 overweight, and 61 obese) and 61 non-PCOS women (24 normal weight, 19 overweight, and 18 obese). Body composition was assessed by bioimpedance, and plasma levels of pentraxin 3 (PTX3), tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), and monocyte chemoattractant protein 1 (MCP-1) were measured. Homeostatic model assessment of insulin resistance (HOMA-IR) was made. Results. Plasma PTX3, TNF-α, and IL-6 levels and HOMA-IR were higher in PCOS than in non-PCOS group p<0.001. There were positive correlations between log10 (PTX3) and log10 (BMI), waist circumference and fat percentage, as well as log10 (HOMA-IR) and free androgen index but negative between log10 (estradiol) levels in PCOS. While in the non-PCOS group, the correlations between log10 (PTX3) and log10 (BMI), waist circumference and fat percentage, as well as log10 (HOMA-IR) were negative. The positive correlations between PTX3 and MPC-1 and log10 (IL-6) were shown in the PCOS group only. In multivariate regression analyses, variability in PTX3 levels in the PCOS group was proportional to log10 (BMI), waist circumference, and fat percentage, but inversely proportional to log10 (estradiol) levels. While in the non-PCOS group, PTX3 levels were inversely proportional to all anthropometric parameters. Conclusions. Our results show that the decrease in PTX3 levels observed in obese is distorted in PCOS by microinflammation, and possibly, dysfunction of stroma adipose tissue and liver steatosis is reflected by enhanced insulin resistance.

Download Full-text

Body height and waist circumference of young Swiss men as assessed by 3D laser-based photonic scans and by manual anthropometric measurements

PeerJ ◽

10.7717/peerj.8095 ◽

2019 ◽

Vol 7 ◽

pp. e8095 ◽

Cited By ~ 1

Author(s):

Claudia Beckmann ◽

Lafi Aldakak ◽

Patrick Eppenberger ◽

Frank Rühli ◽

Kaspar Staub ◽

...

Keyword(s):

Body Mass Index ◽

Waist Circumference ◽

Body Mass ◽

Body Height ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Systematic Difference ◽

Overweight And Obesity ◽

The Body ◽

Body Scan

Overweight and obesity are considered among the major health concerns worldwide. The body mass index is a frequently used measure for overweight and obesity and is associated with common non-communicable diseases such as diabetes type II, cardiovascular diseases and certain cancers. However, the body mass index does not account for the distribution of body fat and relative fat to muscle mass. 3D laser-based photonic full body scans provide detailed information on various body circumferences, surfaces, and volumes as well as body height and weight (using an integrated scale). In the literature, body scans showed good feasibility, reliability, and validity, while also demonstrating a good correlation with health parameters linked to the metabolic syndrome. However, systematic differences between body scan derived measurements and manual measurements remain an issue. This study aimed to assess these systematic differences for body height, waist circumference, and body mass index using cross-sectional data from a homogenous sample of 52 young Swiss male volunteers. In addition to 3D laser-based photonic full body scans and correlative manual measurements, body fat distribution was assessed through bioelectrical impedance analysis. Overall, an excellent correlation was found between measurements of waist circumference and body mass index, and good correlation between body mass index and total fat mass, as well as between waist circumference and visceral fat mass as assessed by bioelectrical impedance analysis. Volunteers were shorter in height measured by body scan when compared to manual measurements. This systematic difference became smaller when volunteers stood in the scanner in a completely upright position with their feet together. Waist circumference was slightly smaller for manual measurements than for body scan derived values. This systematic difference was larger in overweight volunteers compared to leaner volunteers.

Download Full-text

THE RELATIONSHIP BETWEEN BODY MASS INDEX AND BODY FAT PERCENTAGE, ESTIMATED BY BIOELECTRICAL IMPEDANCE IN A GROUP OF ROMANIAN FEMALE STUDENTS

SPORT AND SOCIETY ◽

10.36836/2021/2/31 ◽

2021 ◽

Author(s):

Diana Vrabie ◽

George-Sebastian Iacob

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Body Fat ◽

Bioelectrical Impedance Analysis ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Overweight And Obesity ◽

Female Students ◽

Body Fat Percentage ◽

Fat Percentage

Bioelectrical impedance analysis (BIA) also called bioelectrical impedance (BEI) is a non-invasive method based on the electric conductibility properties of tissues and is a commonly used technique for estimating body composition.Percentage of body fat is strongly associated with the risk of several chronic diseases but its accurate measurement is difficult. Body Mass Index is a useful population-level measure of overweight and obesity. It is used for all categories of people, male or female.The main objective of this study was to determine if there is a relationship between BMI and body fat percentage (BF%) in a group of Romanian female students. This relationship has been studiedin various ethnic groups before. To conduct the study, we examined 29 young females (aged 20-36 years old) estimating BF% from bioelectrical impedance analysis using Tanita Body Fat Monitor Scale UM-076.In this research group, the BMI and BodyFat dependent variables have a moderate to strong correlation (r = .839; 0.75 < r < 1), the favorable score for the first measurement being a statistically relevant benchmark for the second (sig < 0.05).

Download Full-text

Relative Lean Body Mass and Waist Circumference for the Identification of Metabolic Syndrome in the Korean General Population

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph182413186 ◽

2021 ◽

Vol 18 (24) ◽

pp. 13186

Author(s):

Eunjoo Kwon ◽

Eun-Hee Nah ◽

Suyoung Kim ◽

Seon Cho

Keyword(s):

Metabolic Syndrome ◽

Waist Circumference ◽

General Population ◽

Lean Body Mass ◽

Body Mass ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Cross Sectional Study ◽

Metabolic Abnormality ◽

Cross Sectional

Lean body mass (LBM) comprises organs and muscle, which are the primary determinants of energy expenditure and regulation of glucose and lipid metabolism. Excessive abdominal fat is associated with metabolic abnormality. Little is known about the relationship between metabolic abnormality and LBM and waist circumference (WC), especially in the Asian general population. The aim of this study was to clarify this relationship. We performed a cross-sectional study with 499,648 subjects who received health check-ups at 16 health promotion centers in 13 Korean cities between January 2018 and October 2019. The subjects were categorized into four groups: (a) High (H)-RLBM (relative lean body mass)/Normal (N)-WC, (b) High-RLBM/Abnormal (A)-WC, (c) Low (L)-RLBM/Normal-WC, and (d) Low-RLBM/Abnormal-WC. RLBM was calculated using fat mass data that were estimated via bioelectrical impedance analysis. L-RLBM/A-WC was significantly associated with metabolically unhealthy status (OR: 4.40, 95% CI: 4.326–4.475) compared to H-RLBM/N-WC. L-RLBM/N-WC (OR: 2.170, 95% CI: 2.122–2.218) and H-RLBM/A-WC (OR: 2.713, 95% CI: 2.659–2.769) were also significantly related to metabolic unhealthy status. The cut-offs of RLBM for predicting metabolic syndrome (MetS) were 74.9 in males and 66.4 in females (p < 0.001). L-RLBM and A-WC are associated with metabolic abnormality in the Korean general population. RLBM is an anthropometric index that can be used to predict MetS in primary health care.

Download Full-text

Effect of position and exercise on measurement of muscle quantity and quality: towards a standardised pragmatic protocol for clinical practice

BMC Sports Science Medicine and Rehabilitation ◽

10.1186/s13102-020-00227-3 ◽

2021 ◽

Vol 13 (1) ◽

Author(s):

Carly Welch ◽

Zeinab Majid ◽

Isabelle Andrews ◽

Zaki Hassan-Smith ◽

Vicky Kamwa ◽

...

Keyword(s):

Clinical Practice ◽

Skeletal Muscle Mass ◽

Rectus Femoris ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Upper Body ◽

Fat Percentage ◽

Non Invasive ◽

Vastus Intermedius ◽

Total Body

Abstract Background Ultrasonography is an emerging non-invasive bedside tool for muscle quantity/quality assessment; Bioelectrical Impedance Analysis (BIA) is an alternative non-invasive bedside measure of body composition, recommended for evaluation of sarcopenia in clinical practice. We set out to assess impact of position and exercise upon measures towards protocol standardisation. Methods Healthy volunteers aged 18–35 were recruited. Bilateral Anterior Thigh Thickness (BATT; rectus femoris and vastus intermedius), BATT: Subcutaneous Ratio (BATT:SCR), and rectus femoris echogenicity were measured using ultrasound and BIA was performed; 1) lying with upper body at 45° (Reclined), 2) lying fully supine at 180o (Supine), 3) sat in a chair with upper body at 90o (Sitting), and 4) after exercise Reclined. Variability of Skeletal Muscle Mass (SMM) by two different equations from BIA (SMM-Janssen, SMM-Sergi), phase angle, fat percentage, and total body (TBW), extracellular (ECW), and intracellular water (ICW) were assessed. Results Forty-four participants (52% female; mean 25.7 years-old (SD 5.0)) were recruited. BATT increased from Reclined to Sitting (+ 1.45 cm, 1.27–1.63), and after exercise (+ 0.51, 0.29–0.73). Echogenicity reduced from Reclined to Sitting (− 2.1, − 3.9 – -0.26). SMM-Sergi declined from Reclined to Supine (− 0.65 kg, − 1.08 – − 0.23) and after exercise (− 0.70 kg, − 1.27 – -0.14). ECW increased from Reclined to Sitting (+ 1.19 L, 0.04–2.35). There were no other statistically significant changes. Conclusion Standardisation of protocols is especially important for assessment of muscle quantity by ultrasonography; BIA measurements may also vary dependent on the equations used. Where possible, participants should be rested prior to muscle ultrasonography and BIA, and flexion of the knees should be avoided.

Download Full-text

Trends in obesity and adiposity measures by race or ethnicity among adults in the United States 2011-18: population based study

BMJ ◽

10.1136/bmj.n365 ◽

2021 ◽

pp. n365

Author(s):

Buyun Liu ◽

Yang Du ◽

Yuxiao Wu ◽

Linda G Snetselaar ◽

Robert B Wallace ◽

...

Keyword(s):

Body Mass Index ◽

Waist Circumference ◽

Ethnic Groups ◽

Body Mass ◽

Body Fat ◽

Lean Mass ◽

The United States ◽

Population Based ◽

Body Fat Percentage ◽

Fat Percentage

AbstractObjectiveTo examine the trends in obesity and adiposity measures, including body mass index, waist circumference, body fat percentage, and lean mass, by race or ethnicity among adults in the United States from 2011 to 2018.DesignPopulation based study.SettingNational Health and Nutrition Examination Survey (NHANES), 2011-18.ParticipantsA nationally representative sample of US adults aged 20 years or older.Main outcome measuresWeight, height, and waist circumference among adults aged 20 years or older were measured by trained technicians using standardized protocols. Obesity was defined as body mass index of 30 or higher for non-Asians and 27.5 or higher for Asians. Abdominal obesity was defined as a waist circumference of 102 cm or larger for men and 88 cm or larger for women. Body fat percentage and lean mass were measured among adults aged 20-59 years by using dual energy x ray absorptiometry.ResultsThis study included 21 399 adults from NHANES 2011-18. Body mass index was measured for 21 093 adults, waist circumference for 20 080 adults, and body fat percentage for 10 864 adults. For the overall population, age adjusted prevalence of general obesity increased from 35.4% (95% confidence interval 32.5% to 38.3%) in 2011-12 to 43.4% (39.8% to 47.0%) in 2017-18 (P for trend<0.001), and age adjusted prevalence of abdominal obesity increased from 54.5% (51.2% to 57.8%) in 2011-12 to 59.1% (55.6% to 62.7%) in 2017-18 (P for trend=0.02). Age adjusted mean body mass index increased from 28.7 (28.2 to 29.1) in 2011-12 to 29.8 (29.2 to 30.4) in 2017-18 (P for trend=0.001), and age adjusted mean waist circumference increased from 98.4 cm (97.4 to 99.5 cm) in 2011-12 to 100.5 cm (98.9 to 102.1 cm) in 2017-18 (P for trend=0.01). Significant increases were observed in body mass index and waist circumference among the Hispanic, non-Hispanic white, and non-Hispanic Asian groups (all P for trend<0.05), but not for the non-Hispanic black group. For body fat percentage, a significant increase was observed among non-Hispanic Asians (30.6%, 29.8% to 31.4% in 2011-12; 32.7%, 32.0% to 33.4% in 2017-18; P for trend=0.001), but not among other racial or ethnic groups. The age adjusted mean lean mass decreased in the non-Hispanic black group and increased in the non-Hispanic Asian group, but no statistically significant changes were found in other racial or ethnic groups.ConclusionsAmong US adults, an increasing trend was found in obesity and adiposity measures from 2011 to 2018, although disparities exist among racial or ethnic groups.

Download Full-text