Comparison of relative waist circumference between Asian Indian and US adults

Beyond Boundaries: A Comprehensive Review of Anthropometric Indices in Urban and Rural India

This comprehensive review examines anthropometric indices in the context of urban and rural India, shedding light on the dynamic interplay between lifestyle, socio-economic factors, and environmental influences on health outcomes. Analyzing indicators such as Body Mass Index (BMI), waist-to-hip ratio (WHR), and mid-upper arm circumference (MUAC), the study reveals distinct disparities between urban and rural populations. While rural areas face the challenges of undernutrition and stunting, urban environments grapple with the escalating prevalence of obesity and non-communicable diseases. The implications for public health underscore the need for tailored interventions, encompassing nutritional education, equitable healthcare access, and lifestyle interventions. The call-to-action advocates for collaborative efforts among policymakers, healthcare professionals, researchers, and communities to implement evidence-based strategies, advocate for policy reforms, and continually monitor anthropometric trends. This review serves as a roadmap for fostering healthier communities in India by addressing anthropometric disparities and steering toward a more equitable and sustainable future.

Metabolic Syndrome and Chronic Disease Risk in South Asian Immigrants: A Review of Prevalence, Factors, and Interventions

South Asians (SAs) are among the fastest-growing ethnic groups in the U.S. Metabolic syndrome (MetS) is a condition that is characterized by multiple health factors that increase the risk for chronic diseases, such as cardiovascular disease (CVD) and diabetes. MetS prevalence among SA immigrants ranges from 27-47% in multiple cross-sectional studies using different diagnostic criteria, which is generally higher compared to other populations in the receiving country. Both genetic and environmental factors are attributed to this increased prevalence. Limited intervention studies have shown effective management of MetS conditions within the SA population. This review reports MetS prevalence in SAs residing in non-native countries, identifies contributing factors, and discusses ways to develop effective community-based strategies for health promotion targeting MetS among SA immigrants. There is a need for more consistently evaluated longitudinal studies to facilitate the development of directed public health policy and education to address chronic diseases in the SA immigrant community.

Obesity among Asian American people in the United States: A review

Standard measures of obesity, i.e., body weight and BMI, suggest that Asian American people have a lower obesity prevalence than other racial groups in the United States. However, Asian American people face a unique challenge in their pattern of adiposity with central obesity, which raises the risk for multiple comorbidities, such as type 2 diabetes, metabolic syndrome, and cardiovascular disease, at a lower BMI compared with other populations. Several organizations recommend lower BMI cutoffs for obesity in Asian people (BMI ≥25.0 or ≥27.5 kg/m² ) instead of the standard ≥30.0 kg/m² threshold. The risks of obesity and related comorbidities in this population are further influenced by diet, physical activity, perceptions of health, and access to information and therapies. Asian-specific parameters for assessing obesity should become a standard part of clinical practice. Asian American people should equally be offered subgroup-specific tailored interventions owing to heterogeneity of this population. Access to medications and surgery should be improved, in part by updating US indications for therapies to reflect race-specific obesity thresholds and through inclusion of Asian American people of all subtypes with lower BMI values in clinical trials.

Prevalence and factors associated with diagnosed diabetes mellitus among Asian Indian adults in the United States

Higher prevalence of diabetes mellitus (DM) has been documented among South Asians living in the United States. However, combining the south Asian subgroups into one category masks the heterogeneity in the diagnosed DM, after controlling for known protective and risk factors. We assessed the association of Asian Indian ethnicity to diagnosed DM using a nationally representative sample of 1,986 Asian Indian adults in the US compared to 109,072 Non-Hispanic Whites (NHWs) using disaggregated data from the National Health Interview Survey (2012-2016) (NHIS). 2010 US census figures were used for age-sex standardization. Age-sex adjusted prevalence of DM was 8.3% in Asian Indians as compared to 5.8% in NHW. In adjusted multivariable logistic regression models, Asian Indians had higher odds ratios of reporting diagnosed DM compared to NHWs (AOR = 1.39, 95% CI: 1.12, 1.71). This association remained strong and significant even after controlling for other risk factors in the model (AOR = 1.47, 95% CI: 1.16, 1.85). Results suggest a favorable socio-economic profile of Asian Indians was not protective on diagnosed DM. In addition, they were more likely to have diagnosed DM due to higher prevalence of obesity despite healthier behaviors of smoking and exercise.

Metabolic Syndrome and Its Components: A Cross-Sectional Analysis of Its Distribution among Pre- and Post-Menopausal Women from Northern India

Aim

This study aims to determine the prevalence of Metabolic Syndrome (MS) and recognize its abnormal components in pre and postmenopausal women. We also aim to recognize the abnormal components in postmenopausal women with regard to duration since menopause.

Materials and Methods

The cross-sectional study was undertaken among pre- and post-menopausal women between 40 and 65 years. Women with MS were identified as per the modified National Cholesterol Education Program Adult Treatment Panel III.

Results

A total of 220 women were enrolled comprising 112 premenopausal and 108 postmenopausal women, the prevalence of MS among them being 33% and 51.85%, respectively. Postmenopausal status was found to be independently associated with MS when adjusted for potential confounders (adjusted odds ratios = 14.77, 95% confidence intervals: 1.77-23.33). All the components were proportionately higher in postmenopausal group, the rise in blood pressure (BP) (P = 0.003) and low high-density lipoprotein (HDL) (0.027) being statistically significant. The risk of MS, abdominal obesity, and high BP were highest in <5 years since menopause and decreased thereafter. The risk for low HDL and high triglyceride increased with the number of years since menopause, reaching the peak level in the 5-9-year group and then decreased while the risk of high fasting blood sugar increased reaching peak in the 10-14 years' group.

Conclusion

The prevalence of MS is significantly high in postmenopausal women. Screening of women in premenopausal period will give an opportunity to intervene and prevent the menace of MS in Indian women predisposed to abdominal obesity, insulin resistance, and cardiovascular adverse events.

Rural-urban and gender differences in metabolic syndrome in the aging population from southern India: Two parallel, prospective cohort studies

BACKGROUND

Despite the growing evidence of metabolic syndrome as a major risk factor for cardiovascular and cerebrovascular disease, there are limited studies from India on its prevalence, especially in the aging population. We aimed to estimate the prevalence of metabolic syndrome and associated comorbidities in two prospective, aging cohorts from rural and urban India.

METHODS

In these two parallel, prospective, aging (≥ 45 years) cohorts, the samples included 2171 people from rural India (Srinivaspura Aging, Neuro Senescence and COGnition, SANSCOG cohort; April 23, 2018 to Sept 25, 2021) and 332 people from urban India (Tata Longitudinal Study on Aging, TLSA cohort; July 8, 2015 to Oct 23, 2021). Using cross-sectional data from baseline clinical and biochemical assessments, we calculated metabolic syndrome prevalence using two well established criteria, namely consensus criteria and National Cholesterol Education Program - Adult Treatment Panel III (NCEP-ATP III) criteria; further, rural-urban, gender, and age-wise differences were compared.

FINDINGS

Proportions of metabolic syndrome were 46.2 and 54.8% as per consensus criteria in rural and urban participants, respectively; corresponding numbers using NCEP-ATP III criteria were 40.3 and 45.1%. Rural-dwelling older adults had a significantly lesser prevalence of all individual metabolic syndrome parameters except impaired triglycerides and high-density lipoprotein levels. Rural women had a significantly higher prevalence of metabolic syndrome than rural men, whereas there was no significant difference among urban participants. We did not observe any consistent age-wise trend when comparing both cohorts. There was high burden of comorbidities among both groups, mostly undiagnosed in rural participants.

INTERPRETATION

Roughly one in two older adults had metabolic syndrome, urban significantly more than rural, reaching an alarming 63.1% among urban participants aged 65-74 years. The very high prevalence of undiagnosed co-morbidities among rural adults is extremely concerning, calling for urgent public health measures in this marginalised and health-disparate population.

FUNDING

SANSCOG study is funded through the Centre for Brain Research (CBR), Indian Institute of Science (IISc) by Pratiksha Trust, the philanthropic arm of Mr. Kris Gopalakrishnan. TLSA is funded by Tata Trusts.

Obesity Pillars Roundtable: Obesity and South Asians

Background

Compared to other races/ethnicities, individuals from South Asia with obesity are strikingly susceptible to the presence of CVD risk factors and onset of CVD events - in part due to adiposopathic anatomic and metabolic responses to positive caloric balance. Pathogenic endocrine and immune effects of adipocyte hypertrophy and visceral fat accumulation both directly and indirectly promote among the most common metabolic diseases encountered in clinical practice - many being major cardiovascular disease (CVD) risk factors. This is especially applicable to those from South Asia - largely due to genetics, epigenetics, unhealthful nutrition, and physical inactivity.

Methods

This roundtable discussion included 4 obesity specialists engaged in the clinical management of obesity among patients of South Asian descent.

Results

Patients with obesity from South Asia have increased adipocyte size, fewer (functional) adipocytes, and increased visceral adiposity accompanied by functional endocrine and immune abnormalities. This helps explain the increased CVD risk factors and increased CVD risk among this unique population. These CVD risk factors include increased prevalence of metabolic syndrome (even at lower body mass index relative to other races), insulin resistance, type 2 diabetes mellitus, increased lipoprotein (a), and adiposopathic dyslipidemia [(i.e., elevated triglyceride levels, reduced high density lipoprotein cholesterol levels, increased low density lipoprotein (LDL) particle number, and increased prevalence of smaller and denser LDL particles].

Conclusion

The four panelists of this roundtable discussion describe their practical diagnostic processes and treatment plans for patients from South Asia, with an emphasis on a patient-centered approach to obesity in this unique population.

Determinants of cord blood adipokines and association with neonatal abdominal adipose tissue distribution

BACKGROUND

Cord blood leptin and adiponectin are adipokines known to be associated with birth weight and overall infant adiposity. However, few studies have investigated their associations with abdominal adiposity in neonates. We examined maternal factors associated with cord blood leptin and adiponectin, and the association of these adipokines with neonatal adiposity and abdominal fat distribution measured by magnetic resonance imaging (MRI) in an Asian mother-offspring cohort.

METHODS

Growing Up in Singapore Towards healthy Outcomes (GUSTO), is a prospective mother-offspring birth cohort study in Singapore. Cord blood plasma leptin and adiponectin concentrations were measured using Luminex and Enzyme-Linked Immunosorbent Assay respectively in 816 infants. A total of 271 neonates underwent MRI within the first 2-weeks after delivery. Abdominal superficial (sSAT), deep subcutaneous (dSAT), and intra-abdominal (IAT) adipose tissue compartment volumes were quantified from MRI images. Multivariable regression analyses were performed.

RESULTS

Indian or Malay ethnicity, female sex, and gestational age were positively associated with cord blood leptin and adiponectin concentrations. Maternal gestational diabetes (GDM) positively associated with cord blood leptin concentrations but inversely associated with cord blood adiponectin concentrations. Maternal pre-pregnancy body mass index (BMI) showed a positive relationship with cord blood leptin but not with adiponectin concentrations. Each SD increase in cord blood leptin was associated with higher neonatal sSAT, dSAT and IAT; differences in SD (95% CI): 0.258 (0.142, 0.374), 0.386 (0.254, 0.517) and 0.250 (0.118, 0.383), respectively. Similarly, each SD increase in cord blood adiponectin was associated with higher neonatal sSAT and dSAT; differences in SD (95% CI): 0.185 (0.096, 0.274) and 0.173 (0.067, 0.278), respectively. The association between cord blood adiponectin and neonatal adiposity was observed in neonates of obese mothers only.

CONCLUSIONS

Cord blood leptin and adiponectin concentrations were associated with ethnicity, maternal BMI and GDM, sex and gestational age. Both adipokines showed positive association with neonatal abdominal adiposity.

Metabolic syndrome in hypertensive and non-hypertensive subjects

BACKGROUND AND AIMS

Hypertension is a major risk factor of cardiovascular diseases (CVDs), which attributes to one-third of all deaths worldwide. It is also considered as a key feature of metabolic syndrome (MetS). The aim of the present study was to compare the presence of characteristic features of MetS in hypertensive and non-hypertensive males and females and find out the percentages of MetS in hypertensive and non-hypertensive adults.

METHODS

This was a cross-sectional study, involving 120 participants that included 60 hypertensives and 60 non-hypertensives (35-55 years). Data were obtained through an interviewer-administered questionnaire. Fasting blood sugar (FBS) and lipid parameters [triglyceride-(TG), high density lipoprotein (HDL)] were analyzed, and waist circumference (WC) was measured. Percentages of MetS among hypertensive and non-hypertensive groups were determined according to both modified Adult Treatment Panel III (ATP III) and new International Diabetes Federation (IDF) criteria. Results were analyzed using SPSS version 21.

RESULTS

Among the characteristic features of MetS, mean FBS and WC were significantly higher in hypertensive males compared with non-hypertensive males (P < .001 and P = .002 respectively), while mean value of TG was significantly higher (P = .005) in hypertensive females compared with non-hypertensive females. Further, the percentage of subjects in the total hypertensive group with increased FBS and increased WC was significantly higher than the non- hypertensive group. The percentage of subjects with MetS was significantly (P < .001) higher in hypertensive group (68%) compared with non-hypertensive group (20%) according to modified ATP III criteria. When compared with new IDF criteria, it was 63% and 20%, respectively.

CONCLUSION

The percentage of subjects with increased FBS, WC, and MetS was significantly higher in the hypertensive group compared with non-hypertensives group. These findings emphasize the urgent need to develop national strategies for early detection, and to take preventive measures to make people aware of the impact of metabolic syndrome.

Quality of Life and its Determinants in Patients with Diabetes Mellitus from Two Health Institutions of Sub-himalayan Region of India

BACKGROUND

Diabetes mellitus (DM) causes serious deterioration in general quality of life (QoL) mainly affecting the health-related quality of life (HRQOL). Routine assessment of QoL improves communication with the patient, helps to predict treatment response, and supports clinical decision-making. QoL can predict an individual's capacity to manage the disease and maintain long-term health and wellbeing.

AIMS

To find out the QoL and its socio-demographic, anthropometric, and clinical determinants among DM patients attending health institutions from sub-Himalayan region, catering rural population.

SETTINGS AND DESIGN

This cross-sectional study was conducted in two hospitals mostly catering rural population from 2014 to 2018. Purposive sampling technique was used.

MATERIALS AND METHODS

Socio-demographic, anthropometric, and clinical data of DM patients (N = 300) were collected. They were administeredHindi translation of QoL Instrument for Indian Diabetes Patients (QOLID) and Patient Health Questionnaire-9 (PHQ-9). All statistical analyses were carried out using Statistical Package for Social Sciences (SSPS) (Version 17.0, USA).

RESULTS

About 10% had very poor, 13% poor, 11% average, 16% good, and 50% very good QoL on QOLID. General health (GH) and treatment satisfaction (TS) were the most affected domains. Fatigue was the most common symptom (79%) reported in QOLID. Age more than 55 years, rural background, and PHQ-9 score of more than 7 were predictors of poorer QoL.

CONCLUSION

There is a need for a holistic and collaborative care of DM patients, to maintain a good HRQoL. Screening of depression, fatigue, and regular assessment of QoL should be emphasized.

Depression prevalence, its psychosocial and clinical predictors, in diabetes mellitus patients attending two health institutions of north India catering rural population

BACKGROUND

Diabetes mellitus (DM) poses a greater risk of depression and a poor quality of life (QoL). There is a limited data regarding relationship of depression to QoL in patients from rural health care settings of North India.

AIM

To know the prevalence and predictors of depression in patients of DM among various sociodemographic, clinical and QoL variables.

SETTINGS AND DESIGN

This cross-sectional study was conducted in two hospitals of North India mostly catering rural population from 2014 to 2018.

MATERIALS AND METHODS

Sociodemographic and clinical data of DM patients was collected. They were applied Hindi translation of QoL Instrument for Indian Diabetes Patients and Patient Health Questionnaire-9. Analyses were done by Statistical Package for Social Sciences (Version 17.0, USA).

RESULTS

Among 300 patients, 25.6% had clinical depression. Illiteracy, the affect on general, emotional/mental health and role limitation by diabetes predicted risk of depression.

CONCLUSION

Education of patients regarding self-management in DM to assure good health should be emphasised.

Maternal glycemia during pregnancy and offspring abdominal adiposity measured by MRI in the neonatal period and preschool years: The Growing Up in Singapore Towards healthy Outcomes (GUSTO) prospective mother-offspring birth cohort study

BACKGROUND

Gestational diabetes is associated with unfavorable body fat distribution in offspring. However, less is known about the effects across the range of maternal gestational glycemia on offspring abdominal adiposity (AA) in infancy and early childhood.

OBJECTIVES

This study determined the association between gestational glycemia and offspring AA measured by MRI in the neonatal period and during the preschool years.

METHODS

Participants were mother-offspring pairs from the GUSTO (Growing Up in Singapore Towards healthy Outcomes) prospective cohort study. Children who underwent MRI within 2 wk postdelivery (n = 305) and/or at preschool age, 4.5 y (n = 273), and whose mothers had a 2-h 75-g oral-glucose-tolerance test (OGTT) at 26-28 weeks of gestation were included. AA measured by adipose tissue compartment volumes-abdominal superficial (sSAT), deep subcutaneous (dSAT), and internal (IAT) adipose tissue-was quantified from MRI images.

RESULTS

Adjusting for potential confounders including maternal prepregnancy BMI, each 1-mmol/L increase in maternal fasting glucose was associated with higher SD scores for sSAT (0.66; 95% CI: 0.45, 0.86), dSAT (0.65; 95% CI: 0.44, 0.87), and IAT (0.64; 95% CI: 0.42, 0.86) in neonates. Similarly, each 1-mmol/L increase in 2-h OGTT glucose was associated with higher neonatal sSAT (0.11; 95% CI: 0.03, 0.19) and dSAT (0.09; 95% CI: 0.00, 0.17). These associations were stronger in female neonates but only persisted in girls between fasting glucose, and sSAT and dSAT at 4.5 y.

CONCLUSIONS

A positive association between maternal glycemia and neonatal AA was observed across the whole range of maternal mid-gestation glucose concentrations. These findings may lend further support to efforts toward optimizing maternal hyperglycemia during pregnancy. The study also provides suggestive evidence on sex differences in the impact of maternal glycemia, which merits further confirmation in other studies.This trial was registered at clinicaltrials.gov as NCT01174875.

Assessment of Obesity by Using Various Anthropometric Measurements among Patients with Coronary Heart Disease Residing in North India

Background

Obesity is one of the main risk factors of coronary heart disease (CHD). Although a range of anthropometric measures are available to evaluate obesity, which measure is the most precise to predict the risk of CHD is still controversial. Therefore, we assess the prevalence of obesity among patients with CHD by using various anthropometric techniques to find out the most efficient method to predict the risk of CHD. 

Methods

In this cross-sectional study, we included 300 CHD patients and 100 age and sex-matched healthy controls, aged 45-70 years. Various anthropometric measurements (waist and hip circumference, waist-hip ratio, body mass index, and body fat percentage) were taken to assess the prevalence of obesity among the selected population.

Results

Average waist circumference among male and female patients was significantly higher than the controls; 94.0±13.2 vs. 86.4±4.4 (p < 0.001) and 97.8±12.1 vs. 86.9±5.3 (p < 0.001) respectively. The average waist-hip ratio among patients of both genders was significantly higher than controls 1.0±.06 vs. 0.92±.04 (p < 0.001) among males and 0.96±.07 vs. 0.88±.04 (p < 0.001) among females, respectively. The average body mass index (BMI) was not different among male patients (24.6±4.0) compared to controls (24.3±2.3); however, the frequency distribution of BMI among male patients and controls was significantly different (p < 0.05), whereas female patients had significantly higher BMI compared to controls 27.7±4.9 and 25.1±2.4, (p < 0.001). Similarly, body fat percentage and visceral fat percentage were elevated among female cases vs. female controls, but no significant difference was observed in the body fat percentage of male cases vs. controls 28.0±5.0 vs. 28.1±2.7; (p > 0.05). However, visceral fat percentage was significantly elevated among male cases vs. controls 11.6±5.7 vs. 9.6±2.6 (p < 0.05).

Conclusions

Central adiposity markers, waist circumference (WC), waist-hip ratio (WHR), and visceral fat percentage were uniformly present in patients of both sexes and are stronger predictors of risk of CHD relative to the BMI.

P wave indices, heart rate variability and anthropometry in a healthy South Asian population

Background

South Asians have a low prevalence of atrial fibrillation (AF) in comparison with White Europeans despite a higher burden of hypertension, diabetes mellitus and coronary artery disease. The reason for this disparity is unclear but may relate to electrophysiological or structural differences within the atria or variations in autonomic function. We aimed to assess these areas using a range of non-invasive cardiac investigations.

Methods

A prospective cohort study was performed on 200 South Asian and 200 Caucasian healthy volunteers aged 18–40 years. All subjects underwent electrocardiography (ECG), echocardiography and anthropometric measurements. Eighty subjects in each cohort underwent 24 hour ambulatory ECG and fifty subjects in each cohort underwent exercise testing.

Results

Compared with White Europeans, South Asians were of a smaller height with lower lean body mass and smaller left atrial size. They had reduced P wave dispersion and P wave terminal force in lead V₁. South Asians had a lower burden of supraventricular ectopy. They had a higher mean heart rate and South Asian males had lower heart rate variability, suggestive of sympathetic predominance. Exercise capacity was lower in South Asians.

Conclusions

South Asians have differences in left atrial size, P wave indices, burden of supraventricular ectopy, heart rate, heart rate variability and anthropometric measurements. These differences may relate to variations in atrial morphology, atrial electrophysiology and autonomic function and might help to explain why South Asians are less susceptible to developing AF.

Left atrial size and function in a South Asian population and their potential influence on the risk of atrial fibrillation

BACKGROUND

South Asians have a low prevalence of atrial fibrillation (AF) compared with Caucasians despite having a higher prevalence of conventional risk factors for the arrhythmia. The reason for this disparity is uncertain but may be due to ethnic differences in atrial morphology. This study examines the association between ethnicity and left atrial (LA) size and function in South Asian and Caucasian subjects using the reference technique of cardiovascular magnetic resonance imaging (MRI).

HYPOTHESIS

South Asians have smaller LA size and therefore increased LA function.

METHODS

Retrospective case-control study of 60 South Asian and 60 Caucasian patients who had undergone a clinically indicated MRI between April 2010 and October 2017 and had been found to have a structurally normal heart. LA and left ventricular (LV) volume and function were assessed and compared between the ethnicities.

RESULTS

In comparison with Caucasians, South Asians had significantly lower minimum (27.7 ± 11.1 mL vs 34.9 ± 12.3 mL, P = 0.002) and maximum LA volumes (64.7 ± 21.1 mL vs 80.9 ± 22.5 mL, P < 0.001), lower LV end-diastolic volume (P < 0.001), lower LV stroke volume (P < 0.001), and lower LV mass (P = 0.022) and these values remained significant after correcting for body surface area. Further analysis revealed that LA volume was independently associated with South Asian ethnicity. There was no difference in LA function between the ethnic groups.

CONCLUSIONS

South Asians have reduced LA volumes and a proportionally smaller heart size in comparison to Caucasians. Smaller LA size may protect against the development of AF by reducing the risk of reentrant circuit formation and atrial fibrosis development.

Prevalence of the Metabolic Syndrome and its determinants among Nepalese adults: Findings from a nationally representative cross-sectional study

Metabolic syndrome (MetS) increases the risk of cardiovascular diseases and diabetes mellitus. This study is designed to assess the prevalence and determinants of MetS among Nepalese adults from a nationally representative study. This study is based on Stepwise Approach to Surveillance (STEPS) Survey from Nepal. This survey was done among 4200 adults aged 15-69 years from 210 clusters selected proportionately across Nepal's three ecological zones (Mountain, Hill and Terai). Subsequently, using systematic sampling, twenty households per cluster and one participant per household were selected. The overall prevalence of MetS is 15% and 16% according to Adult Treatment Panel III (ATP III) and International Diabetes Federation (IDF) criteria respectively. A triad of low HDL-C, abdominal obesity and high BP was the most prevalent (8.18%), followed by abdominal obesity, low HDL-C cholesterol and high triglycerides (8%). Less than two percent of participants had all the five components of the syndrome and 19% of participants had none. The prevalence steadily rose across the age group with adults aged 45-69 years having the highest prevalence (28-30%) and comparable prevalence across two definitions of MetS. A notably high burden for females, urban, hill or Terai resident were seen among other factors.

Validity of body adiposity index in predicting body fat in Brazilians adults

OBJECTIVES

The aim of this study was to compare various methods of assessing body compositions with body adiposity index (BAI) and to identify the validity of BAI as a predictor of body fat in Brazilian adults.

METHODS

This study included 706 individuals (average age 37.3 years, SD = 12.1). Anthropometric data included percent body fat obtained by skinfold thicknesses, bioelectrical impedance analysis and DXA. Body mass index (BMI), waist/hip ratio, and BAI were calculated. The correlation between variables was assessed by Pearson's correlation coefficient, and the Bland-Altman and Kaplan Meier graphic approaches were used to verify the agreement between BAI and DXA.

RESULTS

There was a strong correlation between BAI and BMI (r = 0.84 in men and r = 0.86 in women, P < .001), waist circumference (r = 0.77 in men and r = 0.75 in women, P < .001) percent fat by skinfold thicknesses (r = 0.71 in men and r = 0.71 in women, P < .001) and by DXA (r = 0.72 in men and r = 0.78 in women, P < .001). The Bland-Altman approach showed an overestimation of BAI in males and an underestimation in women using DXA as the reference method. The agreement between BAI and DXA through the Kaplan-Meier analysis was 41%.

CONCLUSIONS

It was found that BAI does not replace other measurements of body fat, but compared with more complex methods can be an alternative for estimating the body fat in the absence of these methods.

Body Composition in Asians and Caucasians: Comparative Analyses and Influences on Cardiometabolic Outcomes

Within the last four decades Asia has witnessed major transformation in its population demographics, which gave rise to changes in food availability, food habits and lifestyle. A significant consequence of these changes has been the continuing rise in overweight and obesity across Asia. In parallel, there has been a significant rise in Asians in the incidence of the major chronic diseases, particularly in cardiometabolic disorders such as metabolic syndrome, type 2 diabetes, hypertension, and other cardiovascular diseases. Given that the majority of the evidence, to date, investigating the associations between adiposity and cardiometabolic disorder risk have been obtained from studies undertaken either in European or in North American Caucasians, in this chapter, we have reviewed differences in body fat content and distribution between East Asians, South Asians, and Caucasians. The evidence is consistent that the content and distribution of body fat are markedly different between the various ethnic groups. We found that Asians have a greater predisposition towards adiposity at higher BMI than in Caucasians. Moreover, at any given level of adiposity, Asians have a much greater predisposition to risk of cardiometabolic disorders than Caucasians. We therefore strongly endorse the need for different adiposity cutoffs in Asians as compared to the Caucasians. We have also reviewed the predictive abilities of the various body composition/adiposity measures in determining risk of cardiometabolic disorders in Asians.