Are adult body circumferences associated with height? Relevance to normative ranges and circumferential indexes

[Visceral adiposity index (VAI) and dysfunctional adiposity index (DAI). Relationship with obesity parameters]

INTRODUCTION

Obesity is a global pandemic with a growing impact on morbidity and mortality. We assessed the associative strength of the Visceral Adiposity Index (VAI) and Dysfunctional Adiposity Index (DAI) in obesity and associated risk using different methods.

MATERIAL AND METHODS

Cross-sectional study in 418 343 workers from different autonomous communities in Spain, estimating prevalence of obesity with: waist circumference, waist/height index, BMI, CUN-BAE, ECORE-BF, RFM, PALAFOLLS, IMG, METS-VF calculated according to their specific formulas. Descriptive analysis of categorical variables and associative strength of VAI and DAI for obesity was performed with ROC curves considering high risk when the AUC value.0.8 and moderate with AUC.0.7 and.0.8. SPSS 27.0 was used, considering statistical significance p.0.05.

RESULTS

The prevalence of obesity varied according to the method used, being high with Palafolls (72.92% in women and 86.98% in men) and low with METS-VF (1.31% in women and 8.54% in men). The mean values of VAI and DAI are always higher in men. The AUC of the ROC curve for VAI was high with METS-VF: in women 0.836 (95%CI 0.829-0.843), in men 0.848 (95%CI 0.845-0.850) and with waist circumference in men: 0.819 (95%CI 0.816-0.822). DAI was high for METS-FV in women: 0.809 (95%CI 0.801-0.817).

CONCLUSIONS

The prevalence of obesity and related risk differs according to the assessment method used. VAI shows high strength of association with obesity and fat mass for METS-VF in both sexes and with waist circumference in men; DAI for METS-VF in women.

Your height affects your health: genetic determinants and health-related outcomes in Taiwan

BACKGROUND

Height is an important anthropometric measurement and is associated with many health-related outcomes. Genome-wide association studies (GWASs) have identified hundreds of genetic loci associated with height, mainly in individuals of European ancestry.

METHODS

We performed genome-wide association analyses and replicated previously reported GWAS-determined single nucleotide polymorphisms (SNPs) in the Taiwanese Han population (Taiwan Biobank; n = 67,452). A genetic instrument composed of 251 SNPs was selected from our GWAS, based on height and replication results as the best-fit polygenic risk score (PRS), in accordance with the clumping and p-value threshold method. We also examined the association between genetically determined height (PRS₂₅₁) and measured height (phenotype). We performed observational (phenotype) and genetic PRS₂₅₁ association analyses of height and health-related outcomes.

RESULTS

GWAS identified 6843 SNPs in 89 genomic regions with genome-wide significance, including 18 novel loci. These were the most strongly associated genetic loci (EFEMP1, DIS3L2, ZBTB38, LCORL, HMGA1, CS, and GDF5) previously reported to play a role in height. There was a positive association between PRS₂₅₁ and measured height (p < 0.001). Of the 14 traits and 49 diseases analyzed, we observed significant associations of measured and genetically determined height with only eight traits (p < 0.05/[14 + 49]). Height was positively associated with body weight, waist circumference, and hip circumference but negatively associated with body mass index, waist-hip ratio, body fat, total cholesterol, and low-density lipoprotein cholesterol (p < 0.05/[14 + 49]).

CONCLUSIONS

This study contributes to the understanding of the genetic features of height and health-related outcomes in individuals of Han Chinese ancestry in Taiwan.

An Anthropometric Risk Index Based on Combining Height, Weight, Waist, and Hip Measurements

Body mass index (BMI) can be considered an application of a power law model to express body weight independently of height. Based on the same power law principle, we previously introduced a body shape index (ABSI) to be independent of BMI and height. Here, we develop a new hip index (HI) whose normalized value is independent of height, BMI, and ABSI. Similar to BMI, HI demonstrates a U-shaped relationship to mortality in the Third National Health and Nutrition Examination Survey (NHANES III) population. We further develop a new anthropometric risk index (ARI) by adding log hazard ratios from separate nonlinear regressions of the four indicators, height, BMI, ABSI, and HI, against NHANES III mortality hazard. ARI far outperforms any of the individual indicators as a linear mortality predictor in NHANES III. The superior performance of ARI also holds for predicting mortality hazard in the independent Atherosclerosis Risk in Communities (ARIC) cohort. Thus, HI, along with BMI and ABSI, can capture the risk profile associated with body size and shape. These can be combined in a risk indicator that utilizes complementary information from height, weight, and waist and hip circumference. The combined ARI is promising for further research and clinical applications.

Body shape index versus body mass index as correlates of health risk in young healthy sedentary men

Recently a new simply calculated index of body composition -a body shape index (ABSI) has been introduced as an index more reliable than BMI of association between body composition and all-cause mortality. However, until now associations between ABSI and metabolic risk factors have not been evaluated. A total of 114 male university students not engaged in any planned physical activity participated in the present study. Anthropometric measurements (weight, height, waist circumference) were recorded. Body mass index (BMI) was calculated from weight and height, body shape index (ABSI) was calculated from waist circumference, weight, height and BMI. Blood was withdrawn after an overnight fast from the antecubital vein. Triacylglycerols, total cholesterol and HDL-cholesterol levels in plasma were determined using colorimetric methods and Randox commercial kits. Plasma LDL-cholesterol concentrations were calculated according to the Friedewald formula. Circulating insulin was assayed using a standard radioimmunological method with monoclonal antibodies against insulin and BioSource commercial kits. BMI was slightly, but significantly correlated only with circulating TG (r=0.330, p < 0.001) In contrast, ABSI was slightly, but significantly correlated with plasma levels of insulin (r=0.360, p<0.001), TC (r=0.270, p<0.002), LDL-C and non-HDL-C (r=0.300, p<0.001). In participants at the upper quartile of BMI circulating TG was higher (by 50%, p<0.05) than in their counterparts at the lower BMI quartile. Subjects representing the upper quartile of ABSI were characterized by higher plasma levels of insulin, TC, LDL-C and non-HDL in comparison with subjects at the lower ABSI quartile. (by 92 %, 11. %, 29 % and 21 % respectively, p<0.001). ABSI, a new simply calculated index of body fat seems to more accurately depict the variability in circulating insulin and lipoproteins than BMI at least in young, healthy male subjects.

Adult fat content: reinterpreting and modelling the Benn Index and related sex differences

BACKGROUND

In women, the height exponent, p, of the Benn Index, (body mass)/height(p), is typically lower than in men, body masses are more weakly correlated with height and fat masses tend to be higher. In both sexes fat masses correlate only weakly with height. Changes in fat mass are typically accompanied by changes in fat-free mass.

AIMS

To integrate these facts, together with other published findings relating to fat content and to explain why p is lower in women.

METHODS

Data and statistics are taken from the literature. The differences in p are explored by Monte Carlo and algebraic modelling. Mean transverse areas of the body (MTAs), calculated as (body mass)/height, are related to height.

RESULTS AND CONCLUSIONS

The body can be modelled as consisting of a component, M1, varying roughly with the cube of height and another, M2, varying little with height. The low correlation between total body mass and height is due both to M2 and to data scatter. The low p values in women relate especially to M2. Relationships amongst height, fatness, MTAs and girths of body parts generally conform to this interpretation. Questions are raised as to how health risks are best related to fat mass.

Physical activity in daily life is associated with lower adiposity values than doing weekly sports in Lc65+ cohort at baseline

Background

Overweight and obesity prevalence is the highest at age 65–75 years in Lausanne (compared with younger classes). We aimed to describe 1) eating habits, daily physical activity (PA), and sports frequency in community-dwelling adults aged 65–70, 2) the links of these behaviors with socio-economic factors, and 3) with adiposity.

Methods

Cross-sectional analysis of Lc65+ cohort at baseline, including 1260 adults from the general population of Lausanne aged 65–70 years. Eating habits (8 items from MNA) and PA (sports frequency and daily PA: walking and using stairs) were assessed by questionnaires. Body mass index (BMI), supra-iliac (SISF), triceps skin-folds (TSF), waist circumference (WC), and WHR were measured.

Results

Prevalence of overweight (BMI 25.0-29.9 kg/m²), obesity (BMI ≥30.0 kg/m²), and abdominal obesity was 53%, 24%, and 45% in men; 35%, 23%, and 45% in women.

Intake of fruits or vegetables (FV) ≥ twice/day was negatively associated with male sex (prevalence 81% versus 90%, chi-square P < 0.001). The proportion avoiding stairs in daily life was higher among women (25%) than among men (20%, chi-square P = 0.003).

In multivariate analyses among both sexes, eating FV, using stairs in daily life (“stairs”), and doing sports ≥ once/week were significantly negatively associated with financial difficulties (stairs: OR = 0.54, 95% CI = 0.40-0.72) and positively with educational level (stairs: OR = 1.68, 95% CI = 1.17-2.43 for high school).

For all five log-transformed adiposity indicators in women, and for all indicators except SISF and TSF in men, a gradual decrease in adiposity was observed from category “no stairs, sports < once/week” (reference), to “no stairs, sports ≥ once/week”, to “stairs, sports < once/week”, and “stairs, sports ≥ once/week” (for example: WC in men, respectively: ß = −0.03, 95% CI = −0.07-0.02; ß = −0.06, 95% CI = −0.09- -0.03; ß = −0.10, 95% CI = −0.12- -0.07).

Conclusions

In this population with high overweight and obesity prevalence, eating FV and PA were strongly negatively associated with financial difficulties and positively with education. Using stairs in daily life was more strongly negatively associated with adiposity than doing sports ≥ once/week.

[Anthropometric measures of central abdominal fat and discriminant capacity for metabolic syndrome in a Spanish population]

INTRODUCTION

The metabolic syndrome (MS) carries an increased risk of cardiovascular disease and diabetes mellitus. Insulin resistance is probably the mechanism underlying the changes detected in lipid and carbohydrate metabolism in these patients, who have, as a common anthropometric feature, a predominantly increased abdominal fat distribution.

PATIENTS AND METHODS

A total of 3316 patients were studied, of whom 63.40% were female and 36.60 male, with a mean age of 42.36±14.63 years, and a body mass index (BMI) of 32.76±6.81kg/m(2). Weight, height and waist circumference (CC) were measured using standard techniques. The waist/height (ICA) was calculated using two indicators, expressed as waist in cm divided by height in m(2), and as waist divided by height, both in cm. The prevalence of metabolic syndrome in the sample was 33.70%. In order to assess the predictive ability of BMI, ICA and CC to detect the existence of MS, receiver operating curves (ROC) were constructed and the areas under the curve (AUC) calculated for each anthropometric parameter.

RESULTS

An AUC of 0.724 (95%CI: 0.706 to 0.742), P<.001, was obtained for CC, 0.709 (95%CI: 0.691 to 0.728), P<.001 for ICA with height in m(2), and 0.729 (95%CI: 0.711 to 0.747), P<.001 for ICA with height in cm, and for the BMI it was 0.680 (95%CI 0.661-0.699), P<.001.

CONCLUSIONS

Anthropometric indices that assess abdominal fat distribution have a better predictive capacity for detecting MS, compared to total adiposity indicators such as BMI.

Anthropometric differences between HIV-infected individuals prior to antiretroviral treatment and the general population from 1998-2007: the AIDS Clinical Trials Group Longitudinal Linked Randomized Trials (ALLRT) cohort and NHANES

OBJECTIVE

To assess differences in body circumferences and body mass index (BMI, kg/m(2)) between antiretroviral treatment (ART) naïve HIV-infected and HIV-uninfected persons.

METHODS

Waist, arm, and thigh circumferences and BMI were measured within the ALLRT and NHANES cohorts between 1998 and 2007. ALLRT is a prospective, longitudinal study of U.S. participants enrolled in randomized HIV treatment studies conducted by the AIDS Clinical Trials Group (ACTG). NHANES is a representative group of the US population. The cohorts were analyzed in two time periods, to account for trends towards increased adiposity. Anthropometrics were displayed in percentiles by age and sex. Multiple linear regression models examined differences between cohorts.

RESULTS

ALLRT had more males (82% versus 48%, p<0.0001), more black participants (32% versus 23%, p<0.0001), and less Hispanics (21% versus 30%, p<0.0001) than NHANES. Mean BMI was smaller in ALLRT males and females compared to NHANES by 1.6-2.4 kg/m(2) (p<0.0001). Mean waist and arm circumferences in both sexes and time periods were significantly smaller in ALLRT than in NHANES (p<0.0001). Mean thigh circumference in ALLRT was also smaller than NHANES among males (p<0.0001 in both time periods) and females (p = 0.01 in the early time period).

CONCLUSIONS

Differences in anthropometrics existed prior to ART initiation, in this large national cohort of HIV-infected individuals, compared to a representative HIV-uninfected cohort, indicating that HIV and its complications have important effects on body shape. Further longitudinal examination of anthropometrics in this HIV-infected cohort may provide additional insight into disease risk.

TRIAL REGISTRATION

NCT00001137 at www.clinicaltrials.gov.

Waist circumference vs body mass index in association with cardiorespiratory fitness in healthy men and women: a cross sectional analysis of 403 subjects

Objective

Body mass index (BMI) is more commonly used than waist circumference as a measure of adiposity in clinical and research settings. The purpose of this study was to compare the associations of BMI and waist circumference with cardiorespiratory fitness.

Methods

In a cross-sectional study of 403 healthy men and women aged 50 ± 8.8 years, BMI and waist circumference were measured. Cardiorespiratory fitness was assessed from estimated maximal O₂ uptake (VO₂max), as calculated from a maximal fitness test.

Results

Mean BMI (kg/m²) was 27.8 ± 3.7 and 25.5 ± 4.6; and mean waist circumference (cm) 94.1 ± 9.7 and 84.3 ± 10.4 for men and women, respectively. Both men and women reported an average of 2.5 hours of weekly sports related physical activity, and 18% were current smokers. Correlation coefficients between both BMI and waist circumference, and VO₂max were statistically significant in men (r = −0.280 and r = −0.377, respectively, p > 0.05 for both) and in women (r = −0.514 and r = −0.491, respectively, p > 0.05 for both). In women, the contribution of BMI to the level of VO₂max in a regression model was greater, while in men waist circumference contributed more to the final model. In these models, age, hours of training per week, and weekly caloric expenditure in sport activity, significantly associated with VO₂max, while smoking did not.

Conclusion

The differences observed between the sexes in the associations of BMI and waist circumference with VO₂max support the clinical use of both obesity measures for assessment of cardiorespiratory fitness.

A new body shape index predicts mortality hazard independently of body mass index

Background

Obesity, typically quantified in terms of Body Mass Index (BMI) exceeding threshold values, is considered a leading cause of premature death worldwide. For given body size (BMI), it is recognized that risk is also affected by body shape, particularly as a marker of abdominal fat deposits. Waist circumference (WC) is used as a risk indicator supplementary to BMI, but the high correlation of WC with BMI makes it hard to isolate the added value of WC.

Methods and Findings

We considered a USA population sample of 14,105 non-pregnant adults () from the National Health and Nutrition Examination Survey (NHANES) 1999–2004 with follow-up for mortality averaging 5 yr (828 deaths). We developed A Body Shape Index (ABSI) based on WC adjusted for height and weight:

ABSI had little correlation with height, weight, or BMI. Death rates increased approximately exponentially with above average baseline ABSI (overall regression coefficient of per standard deviation of ABSI [95% confidence interval: –]), whereas elevated death rates were found for both high and low values of BMI and WC. (–) of the population mortality hazard was attributable to high ABSI, compared to (–) for BMI and (–) for WC. The association of death rate with ABSI held even when adjusted for other known risk factors including smoking, diabetes, blood pressure, and serum cholesterol. ABSI correlation with mortality hazard held across the range of age, sex, and BMI, and for both white and black ethnicities (but not for Mexican ethnicity), and was not weakened by excluding deaths from the first 3 yr of follow-up.

Conclusions

Body shape, as measured by ABSI, appears to be a substantial risk factor for premature mortality in the general population derivable from basic clinical measurements. ABSI expresses the excess risk from high WC in a convenient form that is complementary to BMI and to other known risk factors.

Overweight and obesity predict time to periodontal disease progression in men

AIMS

To examine whether overweight and obesity indicators - body mass index (BMI), waist circumference (WC), and WC-to-height ratio - predict progression of periodontal disease in men.

MATERIAL AND METHODS

Participants were 1038 medically healthy, non-Hispanic, white males in the VA Dental Longitudinal Study who were monitored with triennial oral and medical examinations between 1969 and 1996. Periodontal disease progression in an individual was defined as having two or more teeth advance to levels of alveolar bone loss ≥40%, probing pocket depth ≥5 mm, or clinical attachment loss ≥5 mm after baseline. Extended Cox regression analyses estimated hazards of experiencing periodontal disease progression events due to overweight/obesity status, controlling for age, smoking, education, diabetes, recent periodontal treatment, recent prophylaxis, and number of filled/decayed surfaces.

RESULTS

Body mass index and WC-to-height ratio were significantly associated with hazards of experiencing periodontal disease progression events regardless of periodontal disease indicator. Adjusted hazard ratios for periodontal disease progression were 41-72% higher in obese men (BMI ≥30 kg/m(2)) relative to men with both normal weight and WC-to-height ratio (≤50%).

CONCLUSION

Both overall obesity and central adiposity are associated with an increased hazards of periodontal disease progression events in men.