Hepatitis B virus (HBV) causes acute and chronic infection of the liver leading to substantial morbidity and mortality. In the United States, since 1996, a total of 29 outbreaks of HBV infection in one or multiple long-term-care (LTC) facilities, including nursing homes and assisted-living facilities, were reported to CDC; of these, 25 involved adults with diabetes receiving assisted blood glucose monitoring. These outbreaks prompted the Hepatitis Vaccines Work Group of the Advisory Committee on Immunization Practices (ACIP) to evaluate the risk for HBV infection among all adults with diagnosed diabetes. The Work Group reviewed HBV infection-related morbidity and mortality and the effectiveness of implementing infection prevention and control measures. The strength of scientific evidence regarding protection was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) methodology,* and safety, values, and cost-effectiveness were incorporated into a recommendation using the GRADE system. Based on the Work Group findings, on October 25, 2011, ACIP recommended that all previously unvaccinated adults aged 19 through 59 years with diabetes mellitus (type 1 and type 2) be vaccinated against hepatitis B as soon as possible after a diagnosis of diabetes is made (recommendation category A). Data on the risk for hepatitis B among adults aged ≥60 years are less robust. Therefore, ACIP recommended that unvaccinated adults aged ≥60 years with diabetes may be vaccinated at the discretion of the treating clinician after assessing their risk and the likelihood of an adequate immune response to vaccination (recommendation category B). This report summarizes these recommendations and provides the rationale used by ACIP to inform their decision making.

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 diametertoheight ratio (SADHtR, estimates visceral adiposity); waist circumferencetoheight ratio (WHtR, estimates abdominal adiposity); and BMI, using linear and multinomial logistic regression. RESULTS: Standardized 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 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.

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.

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.

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-R(2) 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.

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/height(2)) 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<0.001). 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/m(2) 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.

The May 2017 article by Radholm et al. on predicting cardiovascular events among diabetic adults in the CARDIPP Study [1] adds to growing evidence that the sagittal abdominal diameter (SAD, or “abdominal height”) measured by sliding-beam caliper can improve upon the waist circumference or body mass index as a marker of cardiometabolic risk. In their Discussion section, the authors described limitations to anthropometry, including the viewpoint that “the risk of inaccuracy is greater with a caliper than a tape measure”. The nutrition review article they cited for this opinion, however, was commenting about calipers that are complex instruments, notably the spring-loaded calipers which are used to measure skinfolds [2]. The review referenced five earlier reports on problems with skinfold calipers, but provided no adverse information on sliding-beam calipers, as are used for SAD measurement, which are customarily of very simple design. | I agree with the Swedish authors that anthropometry may be limited by the indistinct points at which measurements are made. Their SAD measurement was made at the highest point of the abdomen, a location that differs from the protocol they cited from the US National Health and Nutrition Examination Survey (NHANES) [3]. If they had measured the SAD at the midpoint between the iliac crests, it would have corresponded with their citation. According to studies that compared alternative sites for SAD measurement, the NHANES protocol for SAD is likely to result in a stronger correlation with cardiometabolic risk factors [4,5]. | Despite my minor criticisms above, the Swedish report on SAD as a predictor of cardiovascular events remains a worthwhile contribution. However, the clinical advantages of measuring the SAD might be even greater than the authors implied. If they have another opportunity to follow-up the CARDIPP Study participants they might consider evaluating also the SAD/height ratio (SADHtR) as possibly a stronger indicator of cardiometabolic risk factors than the SAD without correction for height [6].

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.

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.

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.

In their longitudinal study of metabolically healthy workers, Chang and colleagues (1) showed that higher BMI categories were associated with an increased incidence of CKD. They interpreted this finding as an adverse consequence of adiposity. However, their description of participant subgroups suggests that the association reported between elevated BMI and incident CKD was driven by relationships found primarily among older adults, men, and persons who exercise frequently. These are subgroups in which BMI status might reflect variations in the preservation or formation of muscle mass rather than the accumulation of adipose tissue. Greater muscle mass leads to increased production of creatinine, which in turn is associated with a reduced estimated glomerular filtration rate (GFR) (2) consistent with the final row of Table 1 of the article. Reduction of the estimated GFR to less than 60 mL/min/1.73 m2 was the quantitative threshold for identifying incident events of CKD. | Our curiosity leads to testable hypotheses. We suggest that Chang and colleagues use their Kangbuk Samsung Health Study to assess whether the decline in the estimated GFR might be associated more strongly with baseline lean mass rather than adipose tissue. As the authors recently reported (3), their healthy-worker cohort also provided measurements of bioelectric impedance and waist circumference. Thus, baseline values can be calculated for the percentage of fat and fat-free mass and the waist–height ratio. | Controversies exist about how to interpret BMI (4, 5). To clarify how it contributes to the decline in the estimated GFR, the authors could consider which tissue components or anatomical distributions of body mass best predict the described outcome.

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 10308 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 10308 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.

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 20012006 National Health and Nutrition Examination Surveys, we computed a Subsidy Score representing the percentage of total energy intake from subsidized commodities. We examined the scores 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 1864 years. RESULTS: Median Subsidy Score was 567% (interquartile range 472654%). 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 5564 years, individuals aged 1824 years had a 50% higher probability of having a high score (P<00001). Individuals reporting less than high-school education had 21% higher probability of having a high score than individuals reporting college completion or higher (P=0003); 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=002). CONCLUSIONS: Over 50% of energy in US diets is derived from federally subsidized commodities.

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/height2) with SAD/height ratio (SADHtR) or waist circumference/height ratio (WHtR) have not previously been tested in nationally representative populations. METHODS: Non-pregnant adults without diagnosed diabetes (ages 20-64 years; n=3,071) provided conventional anthropometry and supine sagittal abdominal diameter (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 five cardiometabolic disorders: Dysglycemia (glycated hemoglobin ≥5.7%), HyperNonHDLc (non-HDL-cholesterol ≥4.14 mmol/L or taking anticholesteremic medications), Hypertension (SBP ≥140 or DBP ≥90 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 excepting 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 [1.71-4.51], Hypertension by aOR 2.51 [1.22-5.15], HyperALT by aOR 2.89 [1.56-5.37], and HyperGGT by aOR 5.43 [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<0.001) for identifying HyperNonHDLc and HyperGGT. CONCLUSIONS: Among nonelderly adults SADHtR or WHtR recognized cardiometabolic disorders better than did the BMI.

Sagittal abdominal diameter (SAD; 'abdominal height' measured in supine position) may improve upon conventional anthropometry for predicting incident cardiometabolic diseases. However, the SAD is used infrequently by practitioners and epidemiologists. A representative survey of Finnish adults in 2000-2001 collected body measurements including SAD (by sliding-beam calliper) using standardized protocols. Sampled non-pregnant adults (ages 30+ years; 79% participation) provided 6123 SAD measurements from 80 health centre districts. Through stratified, complex survey design, these data represented 2.86 million adults at ages 30+ years. SAD ranged from 13.5 to 38.0cm, with a population mean (standard error) of 21.7 (0.05) cm and median (interquartile range) of 21.0 (19.1-23.4). Median SAD was higher at ages 50+ years compared with ages 30-49 both for men (22.4 [20.5-24.6] vs. 20.8 [19.3-22.7]) and women (21.7 [19.6-23.9] vs. 19.4 [17.8-21.4]). The SAD/height ratio was similar (0.118) for both sexes at 30-39 years, rising more steeply with age for women than men. Attaining only a basic education, compared with a high level, was associated with increased mean (95% confidence interval) SADs for men (22.6 [22.3-22.8] vs. 22.0 [21.7-22.2]) and women (21.8 [21.5-22.0] vs. 20.6 [20.4-20.8]). Finland's early experience with nationally representative SAD measurements provides normative reference values and physiological insights useful for investigations of cardiometabolic risk.

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 and 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 $2790 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.

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/m2) 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.

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.

OBJECTIVE: The study objective was to evaluate the cost-effectiveness of alternative fasting plasma glucose (FPG) thresholds to identify adults at high risk for type 2 diabetes for diabetes preventive intervention. RESEARCH DESIGN AND METHODS: We used a validated simulation model to examine the change in lifetime quality-adjusted life years (QALYs) and medical costs when the FPG threshold was progressively lowered in 5-mg/dL decrements from 120 to 90 mg/dL. The study sample includes nondiabetic adults aged ≥45 years in the United States using 2006-2010 data from the National Health and Nutrition Examination Survey. High-risk individuals were assumed to receive a lifestyle intervention, as that used in the Diabetes Prevention Program. We calculated cost per QALY by dividing the incremental cost by incremental QALY when lowering the threshold to the next consecutive level. Medical costs were assessed from a health care system perspective. We conducted univariate and probabilistic sensitivity analyses to assess the robustness of the results using different simulation scenarios and parameters. RESULTS: Progressively lowering the FPG threshold would monotonically increase QALYs, cost, and cost per QALY. Reducing (in 5-mg/dL decrements) the threshold from 120 to 90 mg/dL cost $30,100, $32,900, $42,300, $60,700, $81,800, and $115,800 per QALY gained, respectively. The costs per QALY gained were lower for all thresholds under a lower-cost and less-effective intervention scenario. CONCLUSIONS: Lowering the FPG threshold leads to a greater health benefit of diabetes prevention but reduces the cost-effectiveness. Using the conventional benchmark of $50,000 per QALY, a threshold of 105 mg/dL or higher would be cost effective. A lower threshold could be selected if the intervention cost could be lowered.

BACKGROUND: In the context of increasing obesity prevalence, the relationship between large visceral adipose tissue (VAT) volumes and type 2 diabetes mellitus (T2DM) is unclear. In a clinical sample of severely obese women (mean body mass index [BMI], 46 kg/m(2)) with fasting normoglycemia (n = 40) or dysglycemia (impaired fasting glucose + diabetes; n = 20), we sought to determine the usefulness of anthropometric correlates of VAT and associations with dysglycemia. METHODS: VAT volume was estimated using multi-slice computer tomography; anthropometric surrogates included sagittal abdominal diameter (SAD), waist circumference (WC) and BMI. Insulin sensitivity (Si), and beta-cell dysfunction, measured by insulin secretion (AIRg) and the disposition index (DI), were determined by frequently sampled intravenous glucose tolerance test. RESULTS: Compared to fasting normoglycemic women, individuals with dysglycemia had greater VAT (P < 0.001) and SAD (P = 0.04), but BMI, total adiposity and Si were similar. VAT was inversely associated with AIRg and DI after controlling for ancestry, Si, and total adiposity (standardized beta, -0.32 and -0.34, both P < 0.05). In addition, SAD (beta = 0.41, P = 0.02) was found to be a better estimate of VAT volume than WC (beta = 0.32, P = 0.08) after controlling for covariates. Receiver operating characteristic analysis showed that VAT volume, followed by SAD, outperformed WC and BMI in identifying dysglycemic participants. CONCLUSIONS: Increasing VAT is associated with beta-cell dysfunction and dysglycemia in very obese women. In the presence of severe obesity, SAD is a simple surrogate of VAT, and an indicator of glucose dysregulation.

OBJECTIVE: To describe the burden of dysglycemia-abnormal glucose metabolism indicative of diabetes or high risk for diabetes-among U.S. women of childbearing age, focusing on differences by race/ethnicity. RESEARCH DESIGN AND METHODS: Using U.S. National Health and Nutrition Examination Survey data (1999-2008), we calculated the burden of dysglycemia (i.e., prediabetes or diabetes from measures of fasting glucose, A1C, and self-report) in nonpregnant women of childbearing age (15-49 years) by race/ethnicity status. We estimated prevalence risk ratios (PRRs) for dysglycemia in subpopulations stratified by BMI (measured as kilograms divided by the square of height in meters), using predicted marginal estimates and adjusting for age, waist circumference, C-reactive protein, and socioeconomic factors. RESULTS: Based on data from 7,162 nonpregnant women, representing >59,000,000 women nationwide, 19% (95% CI 17.2-20.9) had some level of dysglycemia, with higher crude prevalence among non-Hispanic blacks and Mexican Americans vs. non-Hispanic whites (26.3% [95% CI 22.3-30.8] and 23.8% [19.5-28.7] vs. 16.8% [14.4-19.6], respectively). In women with BMI <25 kg/m2, dysglycemia prevalence was roughly twice as high in both non-Hispanic blacks and Mexican Americans vs. non-Hispanic whites. This relative increase persisted in adjusted models (PRRadj 1.86 [1.16-2.98] and 2.23 [1.38-3.60] for non-Hispanic blacks and Mexican Americans, respectively). For women with BMI 25-29.99 kg/m2, only non-Hispanic blacks showed increased prevalence vs. non-Hispanic whites (PRRadj 1.55 [1.03-2.34] and 1.28 [0.73-2.26] for non-Hispanic blacks and Mexican Americans, respectively). In women with BMI >30 kg/m2, there was no significant increase in prevalence of dysglycemia by race/ethnicity category. CONCLUSIONS: Our findings show that dysglycemia affects a significant portion of U.S. women of childbearing age and that disparities by race/ethnicity are most prominent in the nonoverweight/nonobese.

BACKGROUND: Recent insights linking insulin resistance and lipid overaccumulation suggest a novel approach for the early identification of women who may soon experience glucose dysregulation. Among women without a history of gestational diabetes, we tested the association between the lipid accumulation product (LAP) obtained in early pregnancy and glucose dysregulation or insulin resistance in the second trimester. METHODS: A total of 180 white pregnant women of French-Canadian origin were included in this study. At 11-14 weeks' gestation, fasting insulin, glucose, C-peptide concentrations, and estimated insulin resistance (HOMA-IR) were obtained. The waist circumference (WC) and fasting triglycerides (TG) were measured to calculate LAP as (WC[cm]- 58) x TG[mmol/L]. At 24-28 weeks' gestation, glucose was measured 2 hours after a 75-g oral glucose challenge and other fasting variables were repeated. RESULTS: Among the nulliparous women tested at the end of the second trimester, fasting insulin, C-peptide, insulin resistance (HOMA-IR index), fasting glucose, and 2-hour glucose progressively increased (p<=0.002) according to their first-trimester LAP tertiles. Similar results were observed in parous women except for the glucose variables. The first-trimester LAP tended to show a stronger correlation to the second-trimester HOMA-IR index (r=0.56) than fasting triglyceride levels alone (r=0.40) or waist circumference alone (r=0.44) among nulliparous women. Similar associations were observed for parous women. Adjustment for body mass index weakened these associations, especially among parous women. CONCLUSIONS: An increased value of LAP at the beginning of a pregnancy could be associated with an increased risk of insulin resistance or hyperglycemia later in gestation. (Copyright 2013, Mary Ann Liebert, Inc. 2013.)

BACKGROUND: Adiposity predicts health outcomes, but this relationship could depend on population characteristics and adiposity indicator employed. In a representative sample of 11,437 US adults (National Health and Nutrition Examination Survey, 1988-1994, ages 18-64) we estimated associations with all-cause mortality for body mass index (BMI) and four abdominal adiposity indicators (waist circumference [WC], waist-to-height ratio [WHtR], waist-to-hip ratio [WHR], and waist-to-thigh ratio [WTR]). In a fasting subsample we considered the lipid accumulation product (LAP; [WC enlargement*triglycerides]). METHODS AND FINDINGS: For each adiposity indicator we estimated linear and categorical mortality risks using sex-specific, proportional-hazards models adjusted for age, black ancestry, tobacco exposure, and socioeconomic position. There were 1,081 deaths through 2006. Using linear models we found little difference among indicators (adjusted hazard ratios [aHRs] per SD increase 1.2-1.4 for men, 1.3-1.5 for women). Using categorical models, men in adiposity midrange (quartiles 2+3; compared to quartile 1) were not at significantly increased risk (aHRs<1.1) unless assessed by WTR (aHR 1.4 [95%CI 1.0-1.9]). Women in adiposity midrange, however, tended toward elevated risk (aHRs 1.2-1.5), except for black women assessed by BMI, WC or WHtR (aHRs 0.7-0.8). Men or women in adiposity quartile 4 (compared to midrange) were generally at risk (aHRs>1.1), especially black men assessed by WTR (aHR 1.9 [1.4-2.6]) and black women by LAP (aHR 2.2 [1.4-3.5]). Quartile 4 of WC or WHtR carried no significant risk for diabetic persons (aHRs 0.7-1.1), but elevated risks for those without diabetes (aHRs>1.5). For both sexes, quartile 4 of LAP carried increased risks for tobacco-exposed persons (aHRs>1.6) but not for non-exposed (aHRs<1.0). CONCLUSIONS: Predictions of mortality risk associated with top-quartile adiposity vary with the indicator used, sex, ancestry, and other characteristics. Interpretations of adiposity should consider how variation in the physiology and expandability of regional adipose-tissue depots impacts health.

AIMS/HYPOTHESIS: Although diagnosed type 2 diabetes has increased in the past decade, little is known about accompanying changes in fasting plasma glucose (FPG), HbA(1c) and fasting serum insulin (FI) levels in the non-diabetic population. METHODS: Using population estimates from National Health and Nutrition Examination Surveys, we compared distribution of FPG, HbA(1c) and FI in non-diabetic US persons who were ≥20 years old in 1999 to 2006 with that in persons of the same age in 1988 to 1994. RESULTS: Age-, sex- and race-adjusted mean FPG levels between the two study periods did not change, but mean HbA(1c) and FI levels increased (0.10% and 4.8 pmol/l, respectively; p < 0.001 for both). The increased HbA(1c) level was driven largely by an upward shift in the lower end of the HbA(1c) distribution. In contrast, the increased FI level was driven primarily by an upward shift in the middle and higher end of FI distribution, especially among persons aged 20 to 44 years. After adjustments for BMI or waist circumference, the increase in the mean HbA(1c) level was attenuated (0.06%; p < 0.001), whereas the mean FPG level decreased by 0.1 mmol/l (p < 0.001) and the mean FI level no longer demonstrated significant change. CONCLUSIONS/INTERPRETATION: Despite little change in the distribution of FPG levels, HbA(1c) and FI levels increased in the non-diabetic population in the past decade. The increase in FI levels suggests that levels of insulin resistance were greater among US adults, especially young adults, than in the previous decade.

AIMS: We sought to examine whether waist-to-thigh ratio (WTR) performed better than waist-to-height ratio (WHtR), waist-to-hip ratio (WHpR), waist circumference (WC), or body mass index (BMI) in relation to diabetes among US adults. METHODS: Data of 6277 men and nonpregnant women 20 years or older from the Third National Health and Nutrition Examination Survey (1988-1994) were analyzed. RESULTS: In men, AUC of WTR (0.83) was larger than that of WHtR (0.78) (P=0.003), WHpR (0.79) (P<0.001), WC (0.76) (P<0.001), and BMI (0.72) (P<0.001) for diabetes. In women, the AUC of WTR (0.80) was similar to that of WHtR (0.80) (P=0.89), WHpR (0.79) (P=0.55), and WC (0.78) (P=0.36), but larger than that of BMI (0.73) (P=0.03) for diabetes. After adjustment for potential confounders, WTR had the strongest association with diabetes in men (OR, 2.13; 95% CI, 1.57-2.88; per 1 SD increment), whereas WHpR had the strongest association with diabetes in women (OR, 1.94; 95% CI, 1.60-2.35). CONCLUSIONS: WTR performed better than other four indices in men and WTR performed similarly to WHtR, WHpR, and waist circumference, but better than BMI in women for the association with diabetes.

The prevalence of diabetes in the United States is rising. As HIV-infected people live longer, they become more susceptible to chronic diseases such as diabetes. Additionally, some antiretroviral agents have been linked to impaired glucose tolerance and increased diabetes risk. To estimate the burden and trends of diabetes among hospitalized HIV-infected persons in the United States, we used data from the 1994-2004 Nationwide Inpatient Sample, a nationally representative survey of inpatient hospitalizations. Odds ratios (OR) and 95% confidence intervals (CI) were adjusted for demographic and hospital characteristics using logistic regression. Between 1994 and 2004, the rate of hospitalizations with a diabetes code per 100 hospitalizations increased from 3.9 to 8.4 (2.2 fold) among HIV-infected persons. Among HIV-uninfected people, the corresponding rate increased from 12.8 to 17.7 (1.4 fold). Since 1998, the mean age of HIV-infected hospitalized people with a diabetes diagnosis rose from 45 to 66 years and became similar to that of HIV-uninfected people. Compared to 1994-1996, in 2002-2004 the probability of hospitalizations with diabetes increased among both HIV-infected and HIV-uninfected persons (OR, 1.92, 95% CI, 1.79-2.05 and OR, 1.38, 95% CI, 1.36-1.40, respectively). Given the increasing prevalence of diabetes in hospitalized HIV-infected persons, it will be important to monitor the trends closely in addition to the effects of different types of antiretroviral regimens, in order to optimize comprehensive long-term care of HIV-infected persons.

OBJECTIVE: Seasonal environment at birth may influence diabetes incidence in later life. We sought evidence for this effect in a large sample of diabetic youth residing in the US. RESEARCH DESIGN AND METHODS: We compared the distribution of birth months within the SEARCH for Diabetes in Youth Study with the monthly distributions in US births tabulated by race for years 1982-2005. SEARCH participants (9,737 youth with type 1 and 1,749 with type 2 diabetes) were identified by 6 collaborating US centers. RESULTS: Among type 1 diabetic youth the percentage of observed to expected births differed across the months (P = .0092; decreased in October-February, increased in March-July). Their smoothed birth-month estimates demonstrated a deficit in November-February births and an excess in April-July births (smoothed May vs January relative risk [RR]=1.06 (95% CI 1.02-1.11)). Stratifications by sex or by 3 racial groups showed similar patterns relating type 1 diabetes to month of birth. Stratification by geographic regions showed a peak-to-nadir RR of 1.10 (CI 1.04-1.16) in study regions from northern latitudes (Colorado, western Washington State, and southern Ohio) but no birth-month effect (P >0.9) in study regions from more southern locations. Among type 2 diabetic youth, associations with birth month were inconclusive. CONCLUSIONS: Spring births were associated with increased likelihood of type 1 diabetes, but possibly not in all US regions. Causal mechanisms may involve factors dependent on geographic latitude such as solar irradiance, but it is unknown whether they influence prenatal or early postnatal development.