Replacing the body mass index with the sagittal abdominal diameter (abdominal height).

The body mass index (BMI; weight/height2 ), providing no information about the relative size of any adipose tissue depots, may accordingly misclassify degrees of cardiometabolic risk. However, in supine persons the abdominal height above the exam table (the sagittal abdominal diameter, SAD) is associated preferentially with the accumulation of visceral fat. Since visceral fat is a marker of insulin resistance, type 2 diabetes, coronary heart disease, and hypertension, SAD could contribute to the estimation of generalized cardiometabolic risk. The SAD has been measured inexpensively by a sliding-beam caliper in small studies and in the US National Health and Nutrition Examination Survey (NHANES). Cross-sectional models found that the SAD/height ratio (SADHtR) is more strongly associated than the waist circumference/height ratio or BMI with intermediary predictors of cardiometabolic disease. Prospective studies are needed, however, to demonstrate how well SAD or SADHtR might predict major disease outcomes or all-cause mortality.

Associations between ultra- or minimally processed food intake and three adiposity indicators among US adults: NHANES 2011 to 2016.

OBJECTIVE: Ultraprocessed food (UPF) intake is associated with BMI, but effects on regional adipose depots or related to minimally processed food (MPF) intake are unknown. METHODS: Data included 12,297 adults in the National Health and Nutrition Examination Survey (NHANES), 2011 to 2016. This study analyzed associations between usual percentage of kilocalories from UPFs and MPFs and three adiposity indicators: supine sagittal abdominal diameter to height ratio (SADHtR, estimates visceral adiposity); waist circumference to height ratio (WHtR, estimates abdominal adiposity); and BMI, using linear and multinomial logistic regression. RESULTS: Standardized ß coefficients per 10% increase in UPF intake were 0.0926, 0.0846, and 0.0791 for SADHtR, WHtR, and BMI, respectively (all p < 0.001; p > 0.26 for pairwise differences). For MPF intake, the ß coefficients were -0.0901, -0.0806, and -0.0688 (all p < 0.001; p > 0.18 pairwise). Adjusted odds ratios (95% CI) for adiposity tertile 3 versus tertile 1 (comparing UPF intake quartiles 2, 3, and 4 to quartile 1) were 1.33 (1.22-1.45), 1.67 (1.43-1.95), and 2.24 (1.76-2.86), respectively, for SADHtR; 1.31 (1.19-1.44), 1.62 (1.37-1.91), and 2.13 (1.63-2.78), respectively, for WHtR; and 1.27 (1.16-1.39), 1.53 (1.31-1.79), and 1.96 (1.53-2.51), respectively, for BMI. MPF intake showed inverse associations with similar trends in association strength. CONCLUSIONS: Among US adults, abdominal and visceral adiposity indictors were positively associated with UPFs and inversely associated with MPFs.

Prevalence of Diabetes by Race and Ethnicity in the United States, 2011-2016.

Importance: The prevalence of diabetes among Hispanic and Asian American subpopulations in the United States is unknown. Objective: To estimate racial/ethnic differences in the prevalence of diabetes among US adults 20 years or older by major race/ethnicity groups and selected Hispanic and non-Hispanic Asian subpopulations. Design, Setting, and Participants: National Health and Nutrition Examination Surveys, 2011-2016, cross-sectional samples representing the noninstitutionalized, civilian, US population. The sample included adults 20 years or older who had self-reported diagnosed diabetes during the interview or measurements of hemoglobin A1c (HbA1c), fasting plasma glucose (FPG), and 2-hour plasma glucose (2hPG). Exposures: Race/ethnicity groups: non-Hispanic white, non-Hispanic black, Hispanic and Hispanic subgroups (Mexican, Puerto Rican, Cuban/Dominican, Central American, and South American), non-Hispanic Asian and non-Hispanic Asian subgroups (East, South, and Southeast Asian), and non-Hispanic other. Main Outcomes and Measures: Diagnosed diabetes was based on self-reported prior diagnosis. Undiagnosed diabetes was defined as HbA1c 6.5% or greater, FPG 126 mg/dL or greater, or 2hPG 200 mg/dL or greater in participants without diagnosed diabetes. Total diabetes was defined as diagnosed or undiagnosed diabetes. Results: The study sample included 7575 US adults (mean age, 47.5 years; 52% women; 2866 [65%] non-Hispanic white, 1636 [11%] non-Hispanic black, 1952 [15%] Hispanic, 909 [6%] non-Hispanic Asian, and 212 [3%] non-Hispanic other). A total of 2266 individuals had diagnosed diabetes; 377 had undiagnosed diabetes. Weighted age- and sex-adjusted prevalence of total diabetes was 12.1% (95% CI, 11.0%-13.4%) for non-Hispanic white, 20.4% (95% CI, 18.8%-22.1%) for non-Hispanic black, 22.1% (95% CI, 19.6%-24.7%) for Hispanic, and 19.1% (95% CI, 16.0%-22.1%) for non-Hispanic Asian adults (overall P < .001). Among Hispanic adults, the prevalence of total diabetes was 24.6% (95% CI, 21.6%-27.6%) for Mexican, 21.7% (95% CI, 14.6%-28.8%) for Puerto Rican, 20.5% (95% CI, 13.7%-27.3%) for Cuban/Dominican, 19.3% (95% CI, 12.4%-26.1%) for Central American, and 12.3% (95% CI, 8.5%-16.2%) for South American subgroups (overall P < .001). Among non-Hispanic Asian adults, the prevalence of total diabetes was 14.0% (95% CI, 9.5%-18.4%) for East Asian, 23.3% (95% CI, 15.6%-30.9%) for South Asian, and 22.4% (95% CI, 15.9%-28.9%) for Southeast Asian subgroups (overall P = .02). The prevalence of undiagnosed diabetes was 3.9% (95% CI, 3.0%-4.8%) for non-Hispanic white, 5.2% (95% CI, 3.9%-6.4%) for non-Hispanic black, 7.5% (95% CI, 5.9%-9.1%) for Hispanic, and 7.5% (95% CI, 4.9%-10.0%) for non-Hispanic Asian adults (overall P < .001). Conclusions and Relevance: In this nationally representative survey of US adults from 2011 to 2016, the prevalence of diabetes and undiagnosed diabetes varied by race/ethnicity and among subgroups identified within the Hispanic and non-Hispanic Asian populations.

Alternative waist-to-height ratios associated with risk biomarkers in youth with diabetes: comparative models in the SEARCH for Diabetes in Youth Study.

BACKGROUND/OBJECTIVES: The waist-to-height ratio (WHtR) estimates cardiometabolic risk in youth without need for growth charts by sex and age. Questions remain about whether waist circumference measured per protocol of the National Health and Nutrition Examination Survey (WNHAHtR) or World Health Organization (WWHOHtR) can better predict blood pressures and lipid parameters in youth. PARTICIPANTS/METHODS: WHtR was measured under both anthropometric protocols among participants in the SEARCH Study, who were recently diagnosed with diabetes (ages 5-19 years; N = 2 773). Biomarkers were documented concurrently with baseline anthropometry and again ~7 years later (ages 10-30 years; N = 1 712). For prediction of continuous biomarker outcomes, baseline WNHAHtR or WWHOHtR entered semiparametric regression models employing restricted cubic splines. To predict binary biomarkers (high-risk group defined as the most adverse quartile) linear WNHAHtR or WWHOHtR terms entered logistic models. Model covariates included demographic characteristics, pertinent medication use, and (for prospective predictions) the follow-up time since baseline. We used measures of model fit, including the adjusted-R2 and the area under the receiver operator curves (AUC) to compare WNHAHtR and WWHOHtR. RESULTS: For the concurrent biomarkers, the proportion of variation in each outcome explained by full regression models ranged from 23 to 46%; for the prospective biomarkers, the proportions varied from 11 to 30%. Nonlinear relationships were recognized with the lipid outcomes, both at baseline and at follow-up. In full logistic models, the AUCs ranged from 0.75 (diastolic pressure) to 0.85 (systolic pressure) at baseline, and from 0.69 (triglycerides) to 0.78 (systolic pressure) at the prospective follow-up. To predict baseline elevations of the triglycerides/HDL cholesterol ratio, the AUC was 0.816 for WWHOHtR compared with 0.810 for WNHAHtR (p = 0.003), but otherwise comparisons between alternative WHtR protocols were not significantly different. CONCLUSIONS: Among youth with recently diagnosed diabetes, measurements of WHtR by either waist circumference protocol similarly helped estimate current and prospective cardiometabolic risk biomarkers.

Diabetes-Related Emergency Medical Service Activations in 23 States, United States 2015.

OBJECTIVE: The use of emergency medical services (EMS) for diabetes-related events is believed to be substantial but has not been quantified nationally despite the diverse acute complications associated with diabetes. We describe diabetes-related EMS activations in 2015 among people of all ages from 23 U.S. states. METHODS: We used data from 23 states that reported ≥95% of their EMS activations to the U.S. National Emergency Medical Services Information System (NEMSIS) in 2015. A diabetes-related EMS activation was defined using coded EMS provider impressions of "diabetes symptoms" and coded complaints recorded by dispatch of "diabetic problem." We described activations by type of location, urbanicity, U.S. Census Division, season, and time of day; and patient-events by age category, race/ethnicity, disposition, and treatment with glucose. Crude and age-adjusted diabetes-related EMS patient-level event rates were calculated for adults ≥18 years of age with diagnosed diabetes using the Behavioral Risk Factor Surveillance System to estimate the population denominator. RESULTS: Of 10,324,031 relevant EMS records, 241,495 (2.3%) were diabetes-related activations, which involved over 235,000 hours of service. Most activations occurred in urban or suburban environ- ments (86.4%), in the home setting (73.5%), and were slightly more frequent in the summer months. Most patients (72.6%) were ≥45 years of age and over one-half (55.4%) were transported to the emergency department. The overall age-adjusted diabetes-related EMS event rate was 33.9 per 1,000 persons with diagnosed diabetes; rates were highest in patients 18-44 years of age, males, and non-Hispanic blacks and varied by U.S. Census Division. CONCLUSIONS: Diabetes results in a substantial burden on EMS resources. Collection of more detailed diabetes complication information in NEMSIS may help facilitate EMS resource planning and prevention strategies.

Mortality associated with less intense risk-factor control among adults with diabetes in the United States.

AIMS: Determine the mortality experience among adults with diabetes in meeting and not meeting less intense control for glycated hemoglobin (HbA1c), blood pressure (BP), and cholesterol. METHODS: National Health and Nutrition Examination Survey 1999-2010 participants with self-report of diagnosed diabetes (N=3335), measured HbA1c, BP and non-HDL cholesterol were linked to the National Death Index through December 31, 2011. Proportional hazards models were used to estimate hazard ratios (HR) of meeting HbA1c<9% and BP<160/110, and non-HDL cholesterol<190mg/dL. Models used age as the time scale and adjusted for demographics (sex, race/ethnicity, education), diabetes duration, history of cardiovascular and chronic kidney disease, and treatments for elevated glucose, BP, and cholesterol. RESULTS: Over a mean 5.4 person-years of follow-up, participants meeting all less intense control had a 37% lower mortality (HR=0.63, 95% CI 0.54, 0.74) relative to those who did not meet the goals. Of approximately 306,000 deaths per year that occur among Americans with diabetes, we estimate 39,400 might have been averted by improving the care of those who have not met these less intense control goals. CONCLUSIONS: Meeting the less intense control goals is associated with 37% reduction in mortality and could lead to 39,400 fewer deaths per year.

Comparison of adiposity indicators associated with fasting-state insulinemia, triglyceridemia, and related risk biomarkers in a nationally representative, adult population.

AIMS: We hypothesized that height-corrected abdominal size (supine sagittal abdominal diameter/height ratio [SADHtR] or waist circumference/height ratio [WHtR]) would associate more strongly than body mass index (BMI, weight/height2) with levels of fasting insulin, triglycerides, and three derived biomarkers of insulin resistance. METHODS: Anthropometry, including SAD by caliper, was collected on 4398 adults in the 2011-2014 National Health and Nutrition Examination Survey. For comparison purposes, each adiposity indicator was scaled to its population-based, sex-specific, interquartile range (IQR). For each biomarker we created four outcome groups based on equal-sized populations with ascending values. Multivariable polytomous logistic regression modeled the relationships between the adiposity indicators and each biomarker. RESULTS: Highest-group insulin was associated with a one-IQR increment of BMI (RR 4.3 [95% CI 3.9-4.9]), but more strongly with a one-IQR increment of SADHtR (RR 5.7 [5.0-6.6]). For highest-group HOMA-IR the RR for BMI (4.2 [3.7-4.6]) was less than that of SADHtR (6.0 [5.1-7.0]). Similarly, RRs for BMI were smaller than those for SADHtR applying to highest-group triglycerides (RR 1.6 vs 2.1), triglycerides/HDL-cholesterol (RR 1.9 vs 2.4) and TyG index (RR 1.7 vs 2.2) (all p < .001). The RRs for WHtR were consistently between those for SADHtR and BMI. The top 25% of insulin resistance among US adults was estimated to lie above adiposity thresholds of 0.140 for SADHtR, 0.606 for WHtR, or 29.6 kg/m2 for BMI. CONCLUSIONS: Relative abdominal size rather than relative weight may better define adiposity associated with homeostatic insulin resistance. These population-based, cross-sectional findings could improve anthropometric prediction of cardiometabolic risk.

Indicators of abdominal size relative to height associated with sex, age, socioeconomic position and ancestry among US adults.

BACKGROUND/OBJECTIVES: The supine sagittal abdominal diameter (SAD) and standing waist circumference (WC) describe abdominal size. The SAD/height ratio (SADHtR) or WC/height ratio (WHtR) may better identify cardiometabolic disorders than BMI (weight/height2), but population-based distributions of SADHtR and WHtR are not widely available. Abdominal adiposity may differ by sociodemographic characteristics. SUBJECTS/METHODS: Anthropometry, including SAD by sliding-beam caliper, was performed on 9894 non-pregnant adults ≥20 years in the US National Health and Nutrition Examination Surveys of 2011-2014. Applying survey design factors and sampling weights, we estimated nationally representative SADHtR and WHtR distributions by sex, age, educational attainment, and four ancestral groups. RESULTS: The median (10th percentile, 90th percentile) for men's SADHtR was 0.130 (0.103, 0.165) and WHtR 0.569 (0.467, 0.690). For women, median SADHtR was 0.132 (0.102, 0.175) and WHtR 0.586 (0.473, 0.738). Medians for SADHtR and WHtR increased steadily through age 79. The median BMI, however, reached maximum values at ages 40-49 (men) or 60-69 (women) and then declined. Low educational attainment, adjusted for age and ancestry, was associated with elevated SADHtR more strongly than elevated BMI. While non-Hispanic Asians had substantially lower BMI compared to all other ancestral groups (adjusted for sex, age and education), their relative reductions in SADHtR and WHtR, were less marked. CONCLUSIONS: These cross-sectional data are consistent with monotonically increasing abdominal adipose tissue through the years of adulthood but decreasing mass in non-abdominal regions beyond middle age. They suggest also that visceral adipose tissue, estimated by SADHtR, expands differentially in association with low socioeconomic position. Insofar as Asians have lower BMIs than other populations, employing abdominal indicators may attenuate the adiposity differences reported between ancestral groups. Documenting the distribution and sociodemographic features of SADHtR and WHtR supports the clinical and epidemiologic adoption of these adiposity indicators.

Association of Higher Consumption of Foods Derived From Subsidized Commodities With Adverse Cardiometabolic Risk Among US Adults.

IMPORTANCE: Food subsidies are designed to enhance food availability, but whether they promote cardiometabolic health is unclear. OBJECTIVE: To investigate whether higher consumption of foods derived from subsidized food commodities is associated with adverse cardiometabolic risk among US adults. DESIGN, SETTING, AND PARTICIPANTS: Cross-sectional analysis of the National Health and Nutrition Examination Survey data from 2001 to 2006. Our final analysis was performed in January 2016. Participants were 10 308 nonpregnant adults 18 to 64 years old in the general community. EXPOSURE: From a single day of 24-hour dietary recall in the National Health and Nutrition Examination Survey, we calculated an individual-level subsidy score that estimated an individual's consumption of subsidized food commodities as a percentage of total caloric intake. MAIN OUTCOMES AND MEASURES: The main outcomes were body mass index (calculated as weight in kilograms divided by height in meters squared), abdominal adiposity, C-reactive protein level, blood pressure, non-high-density lipoprotein cholesterol level, and glycemia. RESULTS: Among 10 308 participants, the mean (SD) age was 40.2 (0.3) years, and a mean (SD) of 50.5% (0.5%) were male. Overall, 56.2% of calories consumed were from the major subsidized food commodities. United States adults in the highest quartile of the subsidy score (compared with the lowest) had increased probabilities of having a body mass index of at least 30 (prevalence ratio, 1.37; 95% CI, 1.23-1.52), a ratio of waist circumference to height of at least 0.60 (prevalence ratio, 1.41; 95% CI, 1.25-1.59), a C-reactive protein level of at least 0.32 mg/dL (prevalence ratio, 1.34; 95% CI, 1.19-1.51), an elevated non-high-density lipoprotein cholesterol level (prevalence ratio, 1.14; 95% CI, 1.05-1.25), and dysglycemia (prevalence ratio, 1.21; 95% CI, 1.04-1.40). There was no statistically significant association between the subsidy score and blood pressure. CONCLUSIONS AND RELEVANCE: Among US adults, higher consumption of calories from subsidized food commodities was associated with a greater probability of some cardiometabolic risks. Better alignment of agricultural and nutritional policies may potentially improve population health.

Comparing Two Waist-to-Height Ratio Measurements with Cardiometabolic Risk Factors among Youth with Diabetes.

BACKGROUND: Waist circumference (WC) is commonly measured by either the World Health Organization (WHO) or National Health and Nutrition Examination Survey (NHANES) protocol. OBJECTIVE: Compare the associations of WHO vs. NHANES WC-to-height ratio (WHtR) protocols with cardiometabolic risk factors (CMRFs) in a sample of youth with diabetes. METHODS: For youth (10-19 years old with type 1 [N=3082] or type 2 [N=533] diabetes) in the SEARCH for Diabetes in Youth Study, measurements were obtained of WC (by two protocols), weight, height, fasting lipids (total cholesterol, triglycerides, HDL cholesterol, Non-HDL cholesterol) and blood pressures. Associations of CMRFs with WHO and NHANES WHtR were modeled stratified by body mass index (BMI) percentiles for age/sex: lower BMI (<85th BMI percentile; N=2071) vs. higher BMI (≥85th percentile; N=1594). RESULTS: Among lower-BMI participants, both NHANES and WHO WHtR were associated (p<0.005) with all CMRFs except blood pressure. Among higher-BMI participants, both NHANES and WHO WHtR were associated (p<0.05) with all CMRFs. WHO WHtR was more strongly associated (p<0.05) than NHANES WHtR with triglycerides, non-HDL cholesterol, and systolic blood pressure in lower-BMI participants. Among high-BMI participants, WHO WHtR was more strongly associated (p<0.05) than NHANES WHtR with triglycerides and systolic blood pressure. CONCLUSION: Among youth with diabetes, WHtR calculated from either WC protocol captures cardiometabolic risk. The WHO WC protocol may be preferable to NHANES WC.

The contribution of subsidized food commodities to total energy intake among US adults.

OBJECTIVE: The contribution of subsidized food commodities to total food consumption is unknown. We estimated the proportion of individual energy intake from food commodities receiving the largest subsidies from 1995 to 2010 (corn, soyabeans, wheat, rice, sorghum, dairy and livestock). DESIGN: Integrating information from three federal databases (MyPyramid Equivalents, Food Intakes Converted to Retail Commodities, and What We Eat in America) with data from the 2001-2006 National Health and Nutrition Examination Surveys, we computed a Subsidy Score representing the percentage of total energy intake from subsidized commodities. We examined the score's distribution and the probability of having a 'high' (≥70th percentile) v. 'low' (≤30th percentile) score, across the population and subgroups, using multivariate logistic regression. SETTING: Community-dwelling adults in the USA. SUBJECTS: Participants (n 11 811) aged 18-64 years. RESULTS: Median Subsidy Score was 56·7 % (interquartile range 47·2-65·4 %). Younger, less educated, poorer, and Mexican Americans had higher scores. After controlling for covariates, age, education and income remained independently associated with the score: compared with individuals aged 55-64 years, individuals aged 18-24 years had a 50 % higher probability of having a high score (P<0·0001). Individuals reporting less than high-school education had 21 % higher probability of having a high score than individuals reporting college completion or higher (P=0·003); individuals in the lowest tertile of income had an 11 % higher probability of having a high score compared with individuals in the highest tertile (P=0·02). CONCLUSIONS: Over 50 % of energy in US diets is derived from federally subsidized commodities.

Beyond Body Mass Index: Advantages of Abdominal Measurements for Recognizing Cardiometabolic Disorders.

BACKGROUND: The clinical recognition of cardiometabolic disorders might be enhanced by anthropometry based on the sagittal abdominal diameter (SAD; also called "abdominal height") or waist circumference rather than on weight. Direct comparisons of body mass index (BMI, weight/height(2)) with SAD/height ratio (SADHtR) or waist circumference/height ratio (WHtR) have not previously been tested in nationally representative populations. METHODS: Nonpregnant adults without diagnosed diabetes (ages 20-64 years; n = 3071) provided conventional anthropometry and supine SAD (by sliding-beam caliper) in the 2011-2012 US National Health and Nutrition Examination Survey. Population-weighted, logistic models estimated how strongly each anthropometric indicator was associated with 5 cardiometabolic disorders: Dysglycemia (glycated hemoglobin ≥5.7%), HyperNonHDLc (non-high-density-lipoprotein [HDL] cholesterol ≥4.14 mmol/L, or taking anticholesteremic medications), Hypertension (systolic blood pressure ≥140 mm Hg or diastolic blood pressure ≥90 mm Hg, or taking antihypertensive medications), HyperALT (alanine transaminase ≥p75 [75th percentile, sex-specific]), and HyperGGT (gamma-glutamyltransferase ≥p75 [sex-specific]). RESULTS: After scaling each indicator, adjusted odds ratios (aORs) tended to be highest for SADHtR and lowest for BMI when identifying each disorder except dysglycemia. When SADHtR entered models simultaneously with BMI, the aORs for BMI no longer directly identified any condition, whereas SADHtR identified persons with HyperNonHDLc by aOR 2.78 (95% confidence interval [CI], 1.71-4.51), Hypertension by aOR 2.51 (95% CI, 1.22-5.15), HyperALT by aOR 2.89 (95% CI, 1.56-5.37), and HyperGGT by aOR 5.43 (95% CI, 3.01-9.79). WHtR competed successfully against BMI with regard to Dysglycemia, HyperNonHDLc, and HyperGGT. c-Statistics of SADHtR and WHtR were higher than those of BMI (P <.001) for identifying HyperNonHDLc and HyperGGT. CONCLUSIONS: Among nonelderly adults, SADHtR or WHtR recognized cardiometabolic disorders better than did the BMI.

Change in medical spending attributable to diabetes: national data from 1987 to 2011.

OBJECTIVE: Diabetes care has changed substantially in the past 2 decades. We examined the change in medical spending and use related to diabetes between 1987 and 2011. RESEARCH DESIGN AND METHODS: Using the 1987 National Medical Expenditure Survey and the Medical Expenditure Panel Surveys in 2000-2001 and 2010-2011, we compared per person medical expenditures and uses among adults ≥ 18 years of age with or without diabetes at the three time points. Types of medical services included inpatient care, emergency room (ER) visits, outpatient visits, prescription drugs, and others. We also examined the changes in unit cost, defined by the expenditure per encounter for medical services. RESULTS: The excess medical spending attributed to diabetes was $2,588 (95% CI, $2,265 to $3,104), $4,205 ($3,746 to $4,920), and $5,378 ($5,129 to $5,688) per person, respectively, in 1987, 2000-2001, and 2010-2011. Of the $2,790 increase, prescription medication accounted for 55%; inpatient visits accounted for 24%; outpatient visits accounted for 15%; and ER visits and other medical spending accounted for 6%. The growth in prescription medication spending was due to the increase in both the volume of use and unit cost, whereas the increase in outpatient expenditure was almost entirely driven by more visits. In contrast, the increase in inpatient and ER expenditures was caused by the rise of unit costs. CONCLUSIONS: In the past 2 decades, managing diabetes has become more expensive, mostly due to the higher spending on drugs. Further studies are needed to assess the cost-effectiveness of increased spending on drugs.

Population distribution of the sagittal abdominal diameter (SAD) from a representative sample of US adults: comparison of SAD, waist circumference and body mass index for identifying dysglycemia.

BACKGROUND: The sagittal abdominal diameter (SAD) measured in supine position is an alternative adiposity indicator that estimates the quantity of dysfunctional adipose tissue in the visceral depot. However, supine SAD's distribution and its association with health risk at the population level are unknown. Here we describe standardized measurements of SAD, provide the first, national estimates of the SAD distribution among US adults, and test associations of SAD and other adiposity indicators with prevalent dysglycemia. METHODS AND FINDINGS: In the 2011-2012 National Health and Nutrition Examination Survey, supine SAD was measured ("abdominal height") between arms of a sliding-beam caliper at the level of the iliac crests. From 4817 non-pregnant adults (age ≥ 20; response rate 88%) we used sample weights to estimate SAD's population distribution by sex and age groups. SAD's population mean was 22.5 cm [95% confidence interval 22.2-22.8]; median was 21.9 cm [21.6-22.4]. The mean and median values of SAD were greater for men than women. For the subpopulation without diagnosed diabetes, we compared the abilities of SAD, waist circumference (WC), and body mass index (BMI, kg/m(2)) to identify prevalent dysglycemia (HbA1c ≥ 5.7%). For age-adjusted, logistic-regression models in which sex-specific quartiles of SAD were considered simultaneously with quartiles of either WC or BMI, only SAD quartiles 3 (p<0.05 vs quartile 1) and 4 (p<0.001 vs quartile 1) remained associated with increased dysglycemia. Based on continuous adiposity indicators, analyses of the area under the receiver operating characteristic curve (AUC) indicated that the dysglycemia model fit for SAD (age-adjusted) was 0.734 for men (greater than the AUC for WC, p<0.001) and 0.764 for women (greater than the AUC for WC or BMI, p<0.001). CONCLUSIONS: Measured inexpensively by bedside caliper, SAD was associated with dysglycemia independently of WC or BMI. Standardized SAD measurements may enhance assessment of dysfunctional adiposity.

Cardiometabolic risk assessments by body mass index z-score or waist-to-height ratio in a multiethnic sample of sixth-graders.

Convention defines pediatric adiposity by the body mass index z-score (BMIz) referenced to normative growth charts. Waist-to-height ratio (WHtR) does not depend on sex-and-age references. In the HEALTHY Study enrollment sample, we compared BMIz with WHtR for ability to identify adverse cardiometabolic risk. Among 5,482 sixth-grade students from 42 middle schools, we estimated explanatory variations (R (2)) and standardized beta coefficients of BMIz or WHtR for cardiometabolic risk factors: insulin resistance (HOMA-IR), lipids, blood pressures, and glucose. For each risk outcome variable, we prepared adjusted regression models for four subpopulations stratified by sex and high versus lower fatness. For HOMA-IR, R (2) attributed to BMIz or WHtR was 19%-28% among high-fatness and 8%-13% among lower-fatness students. R (2) for lipid variables was 4%-9% among high-fatness and 2%-7% among lower-fatness students. In the lower-fatness subpopulations, the standardized coefficients for total cholesterol/HDL cholesterol and triglycerides tended to be weaker for BMIz (0.13-0.20) than for WHtR (0.17-0.28). Among high-fatness students, BMIz and WHtR correlated with blood pressures for Hispanics and whites, but not black boys (systolic) or girls (systolic and diastolic). In 11-12 year olds, assessments by WHtR can provide cardiometabolic risk estimates similar to conventional BMIz without requiring reference to a normative growth chart.