Comparison between bioelectrical impedance analysis and body mass index methods in determination of obesity prevalence in Ahvazi women

Integrating classification and regression learners with bioimpedance methods for estimating weight status in infants and juveniles from the southern Cuba region

OBJECTIVE

The search for other indicators to assess the weight and nutritional status of individuals is important as it may provide more accurate information and assist in personalized medicine. This work is aimed to develop a machine learning predictions of weigh status derived from bioimpedance measurements and other physical parameters of healthy younger volunteers from Southern Cuba Region.

METHODS

A pilot random study at the Pediatrics Hospital was conducted. The volunteers were selected between 2002 and 2008, ranging in age between 2 and 18 years old. In total, 776 female and male volunteers are studied. Along the age and sex in the cohort, volunteers with class I obesity, overweight, underweight and with normal weight are considered. The bioimpedance parameters are obtained by measuring standard tetrapolar whole-body configuration. The bioimpedance analyser is used, collecting fundamental bioelectrical and other parameters of interest. A classification model are performed, followed by a prediction of the body mass index.

RESULTS

The results derived from the classification leaner reveal that the size, body density, phase angle, body mass index, fat-free mass, total body water volume according to Kotler, body surface area, extracellular water according to Kotler and sex largely govern the weight status of this population. In particular, the regression model shows that other bioparameters derived from impedance measurements can be associated with weight status estimation with high accuracy.

CONCLUSION

The classification and regression predictive models developed in this work are of the great importance to assist the diagnosis of weigh status with high accuracy. These models can be used for prompt weight status evaluation of younger individuals at the Pediatrics Hospital in Santiago de Cuba, Cuba.

The role of various physiological and bioelectrical parameters for estimating the weight status in infants and juveniles cohort from the Southern Cuba region: a machine learning study

OBJECTIVE

The search for other indicators to assess the weight status of individuals is important as it may provide more accurate information and assist in personalized medicine.This work is aimed to develop a machine learning predictions of weigh status derived from bioimpedance measurements and other physical parameters of healthy infant juvenile cohort from the Southern Cuba Region, Santiago de Cuba.

METHODS

The volunteers were selected between 2002 and 2008, ranging in age between 2 and 18 years old. In total, 393 female and male infant and juvenile individuals are studied. The bioimpedance parameters are obtained by measuring standard tetrapolar whole-body configuration. A classification model are performed, followed by a prediction of other bioparameters influencing the weight status.

RESULTS

The results obtained from the classification model indicate that fat-free mass, reactance, and corrected resistance primarily influence the weight status of the studied population. Specifically, the regression model demonstrates that other bioparameters derived from impedance measurements can be highly accurate in estimating weight status.

CONCLUSION

The classification and regression predictive models developed in this work are of the great importance for accessing to the weigh status with high accuracy of younger individuals at the Oncological Hospital in Santiago de Cuba, Cuba.

Comprehensive evaluation of body composition in a wide age range of Iranian adults using bioelectrical impedance analysis: Tehran Lipid and Glucose Study

OBJECTIVE

To evaluate sex- and age-stratified body composition (BC) parameters in subjects with wide age range of 20-79 years.

DESIGN

Cross-sectional.

SETTING

Participants of Tehran Lipid and Glucose Study (TLGS).

PARTICIPANTS

Two thousand nine hundred seventy participants met our inclusion criteria. They were divided into five age groups, and BC parameters were analysed based on sex and age using a bioelectrical impedance analyser (BIA).

RESULT

The mean age of the participants was 42·1 ± 12·5 years, and 54 % of them were males. The mean BMI was 26·7 ± 3·7 kg/m2. Obesity indices were significantly higher in females (P < 0·001); however, skeletal muscle mass (SMM) and fat-free mass (FFM) were significantly higher in males (P < 0·001). Both SMM and FFM decreased significantly after the age of 50 years. Obesity indices significantly increased from the age group of 20-29 to 30-39 years in males and the age groups of 30-39 to 40-49 years and 40-49 to 50-59 years in females. The fat mass ratio (fat mass/SMM) showed two peaks in both sexes (after the ages of 30 and 50 years in males and 40 and 50 years in females). A strong correlation was found between BMI and percentage of body fat (r = 0·823 in females v. r = 0·768 in males).

CONCLUSION

This is the first community-based study in the MENA region identifying sex- and age-stratified BC values using BIA. Our findings can be used as a reference for comparison in appropriate settings.

The prevalence and associated factors of overweight/obesity and abdominal obesity in South-eastern of Iran: a cross-sectional study based on Rafsanjan cohort study

BACKGROUND

Obesity has become a major health issue in both high and middle-income countries, increasing the risk of cardiovascular diseases and all-cause mortality. Risk of obesity is related to both unchangeable factors such as genetics and gender, and modifiable lifestyle factors. Most importantly, finding the major modifiable lifestyle factors which contribute to obesity may provide valuable benefits to every society. This study aimed to determine the association of demographic and lifestyle parameters with overweight/obesity and abdominal obesity in a population of Iranian adults.

METHODS

In this cross-sectional study, adult participants of Rafsanjan Cohort Study (RCS) (as one of the district areas of the PERSIAN cohort (Prospective Epidemiological Research Studies in IrAN) included the study population. RCS is a population-based prospective cohort of men and women aged 35-70 years, launched in August 2015. Individuals were recruited from four urban and suburban areas of Rafsanjan, south-eastern of Iran. Trained experts interviewed each participant and completed the related questionnaires about his/her socioeconomic status, demography, anthropometric features, personal habits, physical activity and medical history. Multinomial logistic regression models were used to examine the relationships between overweight/obesity/abdominal obesity and associated factors.

RESULTS

From 9980 participants, 1974 (42.42%) males and 2115 (39.70%) females were overweight, 784 (16.85%) males, 2223 (41.73%) females were obese and 1895 (40.73%) males and 989 (18.57%) females were normal weight. Also, 832 (17.9%) males and 4548 (85.4%) females had abdominal obesity and 3819 (82.1%) males and 778 (14.6%) females didn't have abdominal obesity. Based on the adjusted multiple logistic regression, overweight/obesity (BMI > 25) was associated with age > 45, female gender, education ≥ 13 years, heavy physical activity, wealth status index (WSI), alcohol consumption, current cigarette smoking and opium consumption compared to reference group. Also, odds of abdominal obesity displayed a significant association with age > 45, female gender, education > 5 years, physical activity, WSI, current cigarette smoking, alcohol and opium consumption compared to reference group.

CONCLUSIONS

Our results recommend local public health strategies that promote training the society on the health benefits of avoiding alcohol, getting more physical exercise and gaining more personal education on the health-threatening lifestyle.

Simple method for identification of women at risk of gestational diabetes mellitus in Arusha urban, Tanzania

BACKGROUND

Screening for gestational diabetes mellitus in Tanzania is challenged by limited resources. Therefore, this study aimed to develop a simple method for identification of women at risk of gestational diabetes mellitus in Arusha urban, Tanzania.

METHODS

This study used data from a cross sectional study, that was conducted between March and December 2018 in Arusha District involving 468 pregnant women who were not known to have diabetes before pregnancy. Urine glucose was tested using urine multistics and blood glucose levels by Gluco-Plus™ and diagnosed in accordance with the World Health Organization's criteria. Anthropometrics were measured using standard procedures and maternal characteristics were collected through face-to-face interviews using a questionnaire with structured questions. Univariate analysis assessed individual variables association with gestational diabetes mellitus where variables with p-value of < 0.05 were included in multivariable analysis and predictors with p-value < 0.1 remained in the final model. Each variable was scored based on its estimated coefficients and risk scores were calculated by multiplying the corresponding coefficients by ten to get integers. The model's performance was assessed using c-statistic. Data were analyzed using Statistical Package for Social Science™.

RESULTS

The risk score included body fat ≥ 38%, delivery to macrosomic babies, mid-upper arm circumference ≥ 28 cm, and family history of type 2 diabetes mellitus. The score correctly identified 98% of women with gestational diabetes with an area under the receiver operating characteristic curve of 0.97 (95% CI 0.96-0.99, p < 0.001), sensitivity of 0.98, and specificity of 0.46.

CONCLUSION

The developed screening tool is highly sensitive and correctly differentiates women with and without gestational diabetes mellitus in a Tanzanian sub-population.

Comparison of obesity and metabolic syndrome prevalence using fat mass index, body mass index and percentage body fat

Background

Accurate obesity classification is important so that appropriate intervention can be instituted to modify metabolic risk factors. Commonly utilized body mass index (BMI) and percentage body fat (PBF) are influenced by lean mass whereas fat mass index (FMI) measures only body fat. This study compares the prevalence of obesity and metabolic risk factors with FMI, BMI and PBF using DXA (dual-energy x-ray absorptiometry).

Methods

489 women randomly recruited from the electoral roll were stratified into 4 age groups; 40–49, 50–59, 60–69 and 70–79 years from 2000 to 2001. Clinical data and DXA body composition were obtained. Statistical analyses were performed using Medcalc v15 (Ostend, Belgium) with significance level at p = 0.05 (two-tailed).

Results

There was higher prevalence of obesity using PBF compared to BMI and FMI (p<0.001). This difference was greater from age 50–59 (p<0.05) which may be explained by age-related lean mass loss. PBF over-classified obesity in over 35% of normal and 95% of overweight categories compared to FMI and BMI. BMI has a sensitivity of 78.9% and specificity of 98.3% for obesity using FMI as the standard. BMI under-classified obesity in the overweight category by 14.9% compared to FMI. There was no difference in diabetes, dyslipidemia, hypertension and metabolic syndrome prevalence within the BMI-obesity and FMI-obesity categories (p>0.05).

Conclusion

PBF classified more obesity than BMI and FMI because of its low pre-determined threshold. The greater difference with PBF compared to BMI and FMI from the 50–59 decade onwards can be attributed to age-related lean mass loss. BMI had the lowest sensitivity for obesity diagnosis. BMI under-classified obesity in the overweight category compared to FMI due to its inability to differentiate lean mass. However, there was no significant difference in the prevalence of metabolic risk factors between BMI and FMI-obesity categories indicating that fat location may influence metabolic dysregulation.

Life course socioeconomic position and body composition in adulthood: a systematic review and narrative synthesis

INTRODUCTION

Multiple systematic reviews have investigated the relation between socioeconomic position (SEP) and body mass index (BMI) throughout the life course. However, BMI does not capture quantity and distribution of fat and muscle, which are better indicators of obesity than BMI, and have been independently linked to adverse health outcomes. Less is known about the relation between SEP and body composition, and the literature has not been reviewed. We therefore systematically reviewed the literature on the association between life course SEP and body composition in adulthood.

METHODS

A protocol was registered on PROSPERO (CRD42019119937), and the review followed PRISMA guidelines. An electronic search of three databases (MEDLINE, Embase Classic + Embase and SPORTDiscus) was conducted. Original studies in the English language were included that examine the association between any recognised measure of SEP at any age and body composition (fat mass, fat-free mass, ratio and distribution) in adulthood, measured using a direct technique, i.e., not an anthropometric measure. A narrative synthesis was conducted.

RESULTS

A total of 47 papers were included in the final review, none were from low-income countries (LICs). Greater advantage in childhood and adulthood was associated with lower fat levels in high-income countries (HICs). Associations in the opposite direction were found exclusively in middle-income countries (MICs). No studies in MICs reported associations for childhood SEP. For measures of lean mass, the majority of papers reported no association, or greater advantage in adulthood associated with higher lean mass, with little variation between HICs and MICs. Associations in HICs are more often observed in women than men.

CONCLUSION

The results indicate that fat measures follow similar patterns to those seen for BMI, and that women in HICs are more likely to experience inequalities in both fat and lean measures. Further research in LICs and MICs is needed.

Prevalence of obesity and overweight in adults and children in Iran; a systematic review

BACKGROUND

Obesity is one of the most important underlying risk factors for chronic disease. Dramatically increasing and following complication of obesity should be alerted to health politicians and practitioners to prevent associated health risks. This review aimed to give a better insight into the prevalence of obesity and overweight in different areas of Iran.

METHOD

All published internal (SID, Irandoc, Iranmedex), and international (Web of Knowledge, Pubmed, Scopus) source studies, reported the prevalence of overweight/obesity among normal population samples, during Jan 2005 through Jan 2014, were assessed in this review. Paper selection processes were done by two researchers separately. Studies which met the eligible criteria were included in this review.

RESULT

One hundred ninety three eligible studies enter into our review. Of 193 final selected studies, 86 (15 national, 71 sub national) of them were reported the prevalence of obesity/overweight in adult, and 107 studies (11 national, 96 sub national) in under-18 by individual. The range of overweight and obesity prevalence in national studies in adult, was 27.0-38.5 (95% CI: 26.8-27.1, 37.2-39.8), and 12.6-25.9 (95% CI: 12.2-13.0, 24.9-26.8), separately. In under-18 the range of overweight and obesity prevalence in national studies were 5.0-13.5 (95% CI: 4.5-5.5, 13.4-13.6), and 3.2-11.9 (95% CI: 3.0-3.4, 11.3-12.4).

CONCLUSION

Obesity as an important public health problem has been discussed in recent few decades worldwide. Although the national reported prevalence of obesity in Iran was not considerably diverse, but remarkable differences were seen in the sub national prevalence which must be noticed more in political health programs especially among women and children.

Educational attainment and obesity: a systematic review

Although previous systematic reviews considered the relationship between socioeconomic status and obesity, almost 200 peer-reviewed articles have been published since the last review on that topic, and this paper focuses specifically on education, which has different implications. The authors systematically review the peer-reviewed literature from around the world considering the association between educational attainment and obesity. Databases from public health and medicine, education, psychology, economics, and other social sciences were searched, and articles published in English, French, Portuguese and Spanish were included. This paper includes 289 articles that report on 410 populations in 91 countries. The relationship between educational attainment and obesity was modified by both gender and the country's economic development level: an inverse association was more common in studies of higher-income countries and a positive association was more common in lower-income countries, with stronger social patterning among women. Relatively few studies reported on lower-income countries, controlled for a comprehensive set of potential confounding variables and/or attempted to assess causality through the use of quasi-experimental designs. Future research should address these gaps to understand if the relationship between educational attainment and obesity may be causal, thus supporting education policy as a tool for obesity prevention.

Associations of body fat percent and body mass index with childhood asthma by age and gender

OBJECTIVE

High body mass index (BMI) has been shown to be associated with asthma, but the pattern of this association is still unclear and may differ by gender or stage of puberty. BMI is only a proxy of adiposity, whereas estimation of body fat percent (BF%) by the bioimpedance technique is considered an accurate measure of adiposity. We investigated whether BMI and BF% behave differently in their association with asthma between genders, before and during adolescence.

DESIGN AND METHODS

In this cross-sectional study of 10,981 schoolchildren, we used logistic regression models to examine the pattern of association of BMI and BF% with asthma.

RESULTS

In the case of BF%, both the highest (odds ratio [OR]: 1.68, 95% confidence interval [95% CI]: 1.21-2.30) and lowest (OR: 1.59, 95% CI: 1.13-2.23) z-score categories conferred an increased adjusted risk for active asthma. The likelihood ratio test (LRT) of nonlinearity yielded significant results (P < 0.01) for BF%. In contrast, the LRT for BMI yielded a nonsignificant result (P = 0.45) indicating a linear association of asthma with BMI. A unit increase in BMI z-score conferred an increase in the adjusted odds of active asthma (OR: 1.14, 95% CI: 1.02-1.27). In the case of BF%, the adjusted ORs for active asthma at the highest and lowest z-score categories in both genders, before and during adolescence, were similarly elevated, exhibiting a U-shape pattern.

CONCLUSIONS

In contrast to the linear association observed with BMI, BF% displayed a U-shaped association with asthma and may be the preferred measure of adiposity in epidemiological studies of asthma in children.

Obesity and its diagnostic methods in Turkish children

OBJECTIVE

The application of body mass index (BMI) for obesity classification in all population studies has been questioned by the scientific community. It has been found that the bioelectrical impedance analysis (BIA) is an accurate method for screening obesity. This study was conducted to evaluate the accuracies of BMI, skinfold thickness (SFT), leptin and BIA measurements in obesity classification and to find correlations between BIA and the other indicators for obesity.

MATERIALS AND METHODS

This case-control study included 178 children of whom 90 were in the obese group and 88 in the control group. The study measured BMI, SFT, leptin level and BIA-mediated body fat percentage (BIA BFP) in each child.

RESULTS

The BMIs, leptin levels, SFTs and BIA BFPs of children in the obese group were found to be higher than those in the control group (p<0.001). The measurement of BIA BFP strongly correlated with BMI, SFT and waist circumference, whereas BIA BFP measurement showed weak-moderate correlation with leptin level.

CONCLUSION

Bioelectrical impedance analysis was found to be an accurate measure of BFP in obesity. In addition, BIA may prevent the incorrect diagnosis of obesity as determined by BMI alone, especially in boys during the pubertal period.

Trends in waist circumference and central obesity in adults, northern iran

OBJECTIVES

The main aim of this study is to determine the central obesity trends during the period from 2006 to 2010 among 15-65 years old people in Northern Iran.

METHODS

This was a population-based cross-sectional study conducted on 6466 subjects who had been chosen by a multi stage cluster random sampling within five steps. The subjects were randomly chosen from 325 clusters and each cluster included 20 cases. Central obesity was defined as waist circumference ³102 cm and ³88 cm in men and women, respectively.

RESULTS

Compared to 2010, the mean waist circumference in 2006 changed from 87.2 cm to 88.1 cm in men (p=0.237), and from 90.3 cm to 88.6 cm in women (p=0.045). The comparison between 2006 and 2010 revealed that the prevalence of central obesity slightly decreased, 6.8% and 2.4% in urban women and men, respectively. Generally, the mean of waist circumference significantly decreased in urban women (by 0.069 cm in each year; p=0.020); however, the decrease of waist circumference in urban men was not significant (0.006 cm decrease each year; p=0.915).

CONCLUSION

The prevalence of central obesity declined among both males and females in the urban area; however, there was an attenuated increasing trend in the rural area. The disparity of trends between the two regions should be considered for further study.

Diagnostic value of bioelectrical impedance analysis versus body mass index for detection of obesity among students

PURPOSE

Obesity is a common nutritional problem in both developed and developing countries. The aim of this study was to determine the prevalence of overweightness and obesity using both bioelectrical impedance analysis (BIA) and body mass index (BMI).

METHODS

In this cross-sectional study, 288 healthy college students were selected. Socio-economic status questionnaires were completed and subjects' anthropometric features were measured by a trained nurse. BMI was calculated and body fat mass (BFM) and body fat percent (BF%) were obtained using BIA method by hand-to-hand Omron BF-500 set.

RESULTS

Mean age of the subjects was 21.1±1.7 years. Based on BMI, 2.6% of males and 2.2% of females were obese while 15.7% and 9.6% were diagnosed to be overweight respectively. The correlation between BMI values and BFM were 0.883 and 0.908 in males and females respectively (P<0.001). Furthermore, BF% had a significant correlation with BMI in both males and females (P<0.001).

CONCLUSION

Our survey demonstrated a lower prevalence of obesity and overweightness in college students compared with Iranian general population, especially in females. Additionally, BIA method was shown to be closely correlated with and as much valuable as BMI in regard to detection of obesity.

The role of fat mass index in determining obesity

OBJECTIVES

The objective of this study is to compare body mass index (BMI), percent body fat (PBF), and fat mass index (FMI) and to investigate the accuracy of FMI as a convenient tool for assessing obesity.

DESIGN

Anthropometric measurements and bioelectrical impedance analyses were performed on 538 Mexican Americans (373 women and 165 men). Correlations between BMI and PBF and between FMI and PBF were investigated. The percentage of persons misclassified as obese using different classifications was calculated. Multiple linear regression analysis was performed to generate predictive models of FMI for males and females separately.

RESULTS

BMI and PBF were correlated in men (rho = 0.877; P < 0.0001) and women (rho = 0.966; P < 0.0001); however, 20 and 67.2% of the men and 9.2 and 84.2% of women, classified as normal weight and overweight by BMI, respectively, were diagnosed as obese by PBF. FMI and PBF were also correlated in men (rho = 0.975; P < 0.0001) and women (rho = 0.992; P < 0.0001). Four percent of the men classified as normal weight and 65.5% classified as overweight by BMI were obese by FMI, while 71.3% of women classified as overweight by BMI were obese by FMI. Misclassification of obesity between FMI and PBF categories was observed in 5.4% of men and 7.8% of women.

CONCLUSIONS

The discrepancy observed between BMI and PBF reflects a limitation of BMI. Conversely, FMI accurately assessed obesity in our study of Mexican Americans, but further studies are necessary to confirm our findings in different ethnic groups.

Nutritional related cardiovascular risk factors in patients with coronary artery disease in Iran: a case-control study

Background and aims

There are limited findings available on coronary artery disease (CAD) risk factors and nutritional pattern of CAD patients in Iran. The purpose of this study was to compare nutritional-related risk factors of CAD patients with that of matched controls.

Methods

In a case-control design, dietary patterns and CAD risk factors of 108 documented patients (determined by cardiac catheterization showing greater than 70% stenosis or established myocardial infarction) whom were admitted to coronary care units (CCU) of Ahvaz teaching hospitals were compared with that of 108 gender- and age-matched subjects of normal cardiac catheterization (lesser than 40% stenosis). Measured variables consisted of blood lipid profile, smoking habits, dietary patterns, anthropometric indices and blood pressure levels.

Results

Almost all patients had hypertriglyceridemia and high LDL-C levels. Odds ratios (CI 95%) for consuming fish, tea, vegetable oils were 0.55(0.31-0.91), 0.3(0.15-0.65), 0.23(0.13-0.42), respectively. However, consumption of hydrogenated fats, and full-fat yoghurt was associated with higher CAD risk (OR = 2.12(1.23-3.64) and 2.35(1.32-4.18), respectively. Patients' serum lipid profiles, sugar concentrations, and blood pressure levels were significantly higher than defined cut-off points of the known risk factors. Considerable numbers of the control group also showed high levels of the known risk factors.

Conclusions

Consumption of fish, tea and vegetable oils shown to have protective effect on CAD while full fat yoghurt and hydrogenated fats increase the risk of CAD. Moreover, CAD patients obviously have higher blood lipids and sugar concentrations, blood pressure, body fat percent and BMI levels compared with their matched counterparts. We need to define specific local cut-off points with more practical criteria to detect CAD patients.

Accuracy of body mass index to determine obesity in women with breast cancer: an observational study of Taiwanese sample

BACKGROUND

Obesity is common in women with breast cancer. The risk of obesity-induced metabolic syndrome is higher in Asians than in Caucasians. Excessive body fat accumulation has been associated with a worse prognosis. However, the most popular clinical indicator of obesity is not fat itself, but body mass index (BMI).

OBJECTIVES

The purposes of this study were to determine the consistency of BMI and body fat percentage (BF%) in determining obesity and to identify the best BMI cutoffs for identifying obesity in Taiwanese women with breast cancer.

METHODS

Body fat and fat-free mass were measured by bioelectrical impedance 1 day before breast surgery for 200 women with breast cancer. BMI was calculated as weight (in kilograms) divided by height (in meters) squared.

RESULTS

BMI and BF% were highly correlated (r=0.91; p<0.001). However, BMI exhibited poor sensitivity for identifying obesity (47%). The sensitivity of BMI to detect obesity was better in women over age 60. The best BMI cutoff for obesity was 22.3 kg/m2 with a sensitivity and specificity of 89% (95% CI=83-94%) and 87% (95% CI=77-93%) respectively, and the total accuracy rate improved from 65% to 89%.

CONCLUSIONS

Using BMI to identify obesity in Taiwanese women with breast cancer requires careful attention to the diagnostic criterion chosen. The World Health Organization criterion tends to underestimate the prevalence of obesity, especially for younger women with breast cancer (under age 40).

Relation of Body Mass Index and Body Fat Mass for Spanish University Students, Taking into Account Leisure-Time Physical Activity

The objective of this cross-sectional study was to analyze the relation of Body Mass Index with body fat mass while taking into account the amount of leisure-time physical activity for 299 male university students. Body fat mass was measured by bioelectrical impedance analysis. An estimation of energy expenditure in leisure-time physical activity in metabolic equivalents (METs) was obtained so participants were divided into six activity groups by percentile: no physical activity by the first group and participants physically active were divided into five groups by percentiles: <25%, 26–50%, 51–75%, 76–90%, and 91–100%. Correlations of Body Mass Index with body fat mass were strong in different groups—values ranged from .76 to .85, except for the >90% group.