Association of Sugar-Sweetened Beverage Consumption with Prediabetes and Glucose Metabolism Markers in Hispanic/Latino Adults in the United States: Results from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).

BACKGROUND: Both the incidence of diabetes mellitus and consumption of sugar-sweetened beverages are high in the Hispanic/Latino population in the United States. The associations between consumption of sugar-sweetened beverages, artificially sweetened beverages, and 100% fruit juice with prediabetes and glucose metabolism markers in the diverse Hispanic/Latino population in the United States are unknown. OBJECTIVES: The objective of this study was to examine the cross-sectional associations between consumption of sugar-sweetened beverages, artificially sweetened beverages, and 100% fruit juice with prediabetes and glucose metabolism markers such as fasting glucose and insulin, 2-h oral-glucose-tolerance test, HOMA-IR, HOMA index for ß-cell function (HOMA-B), and glycated hemoglobin (HbA1c) among US Hispanic/Latino adults. METHODS: Using baseline data from the Hispanic Community Health Study/Study of Latinos (2008-2011), beverage consumption was ascertained using two 24-h dietary recalls and a food propensity questionnaire. Diabetes/prediabetes status was defined by self-report, antihyperglycemic medication use, and American Diabetes Association laboratory criteria. Among 9965 individuals without diabetes (5194 normoglycemia, 4771 prediabetes) aged 18-74 y, the associations of beverage consumption with prediabetes and glucose metabolism markers were analyzed using logistic and linear regressions, respectively, accounting for complex survey design. RESULTS: Compared with individuals who consumed <1 serving/d (<240 mL/d) of sugar-sweetened beverages, individuals who consumed >2 servings/d (>480 mL/d) had 1.3 times greater odds of having prediabetes (95% CI: 1.06, 1.61) and higher glucose metabolism markers including fasting glucose, fasting insulin, HOMA-IR, and HbA1c. Consumption of artificially sweetened beverages showed an inverse association with ß-cell function (HOMA-B). Intake of 100% fruit juice was not significantly associated with prediabetes nor with glucose metabolism markers. CONCLUSIONS: Among US Hispanic/Latino adults, higher sugar-sweetened beverage consumption was associated with increased odds of prediabetes and higher glucose metabolism markers. Public health initiatives to decrease sugar-sweetened beverage consumption could potentially reduce the burden of diabetes among Hispanics/Latinos in the United States.

Urinary phenols and parabens and diabetes among US adults, NHANES 2005-2014.

BACKGROUND AND AIMS: Phenols and parabens are ubiquitous and have been associated with markers of cardiovascular health. However, the literature lacks population-based studies examining the link between these endocrine disruptors and diabetes. We examined the association between paraben/phenol concentrations and diabetes among a nationally representative sample of US adults. METHODS AND RESULTS: We utilized data from the 2005-2014 National Health and Nutrition Examination Surveys (N = 8498). Total urinary concentrations of BPA, triclosan, BP-3, and propyl, butyl, ethyl, and methyl parabens were measured from urine specimens collected during the examination session. Diabetes status was based on self-report of a previous diagnosis or HbA1c≥6.5%. We used logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CI) associated with the difference in log-transformed values of the 75th and 25th percentiles for each phenol/paraben, adjusting for potential confounders. The adjusted ORs (95% CI) of diabetes comparing the 75th to 25th percentiles of each paraben/phenol were 1.09 (0.96-1.23) for BPA, 0.84 (0.72-0.98) for triclosan, 0.69 (0.61-0.79) for BP-3, 0.71 (0.61-0.83) for propyl paraben, 0.66 (0.54-0.80) for butyl paraben, 0.60 (0.51-0.71) for ethyl paraben, and 0.79 (0.68-0.91) for methyl paraben. CONCLUSIONS: Higher concentrations of triclosan, BP-3, and propyl, butyl, ethyl, and methyl parabens were associated with lower odds of diabetes. These findings warrant further investigation into the potential mechanism behind the observed associations and the temporal direction of the associations, given that we cannot rule out reverse causation. Future studies of these endocrine disruptors may improve the understanding of their relationship with diabetes.

Why Are Diabetes Medications So Expensive and What Can Be Done to Control Their Cost?

PURPOSE OF REVIEW: The purposes of this study were to describe how medication prices are established, to explain why antihyperglycemic medications have become so expensive, to show trends in expenditures for antihyperglycemic medications, and to highlight strategies to control expenditures in the USA. RECENT FINDINGS: In the U.S., pharmaceutical manufacturers set the prices for new products. Between 2002 and 2012, expenditures for antihyperglycemic medications increased from $10 billion to $22 billion. This increase was primarily driven by expenditures for insulin which increased sixfold. The increase in insulin expenditures may be attributed to several factors: the shift from inexpensive beef and pork insulins to more expensive genetically engineered human insulins and insulin analogs, dramatic price increases for the available insulins, physician prescribing practices, policies that limit payers' abilities to negotiate prices, and nontransparent negotiation of rebates and discounts. The costs of antihyperglycemic medications, especially insulin, have become a barrier to diabetes treatment. While clinical interventions to shift physician prescribing practices towards lower cost drugs may provide some relief, we will ultimately need policy interventions such as more stringent requirements for patent exclusivity, greater transparency in medication pricing, greater opportunities for price negotiation, and outcomes-based pricing models to control the costs of antihyperglycemic medications.

HEMOGLOBIN A1C, BLOOD PRESSURE, AND LDL-CHOLESTEROL CONTROL AMONG HISPANIC/LATINO ADULTS WITH DIABETES: RESULTS FROM THE HISPANIC COMMUNITY HEALTH STUDY/STUDY OF LATINOS (HCHS/SOL).

OBJECTIVE: To determine the prevalence of Hispanic/Latino adults with diabetes who meet target hemoglobin A1c, blood pressure (BP), and low-density-lipoprotein cholesterol (LDL-C) recommendations, and angiotensin-converting enzyme (ACE) inhibitors/angiotensin receptor blocker (ARB) and statin medication use by heritage and sociodemographic and diabetes-related characteristics. METHODS: Data were cross-sectional, collected between 2008 and 2011, and included adults age 18 to 74 years who reported a physician diagnosis of diabetes in the Hispanic Community Health Study/Study of Latinos (N = 2,148). Chi-square tests compared the prevalence of hemoglobin A1c, BP, and LDL-C targets and ACE/ARB and statin use across participant characteristics. Predictive margins regression was used to determine the prevalence adjusted for sociodemographic characteristics. RESULTS: The overall prevalence of A1c <7.0% (53 mmol/mol), BP <130/80 mm Hg, and LDL-C <100 mg/dL was 43.0, 48.7, and 36.6%, respectively, with 8.4% meeting all three targets. Younger adults aged 18 to 39 years with diabetes were less likely to have A1c <7.0% (53 mmol/mol) or LDL-C <100 mg/dL compared to those aged 65 to 74 years; younger adults were more likely to have BP <130/80 mm Hg (P<.05 for all). Individuals of Mexican heritage were significantly less likely to have A1c <7.0% (53 mmol/mol) compared to those with Cuban heritage, but they were more likely to have BP <130/80 mm Hg compared to those with Dominican, Cuban, or Puerto Rican heritage (P<.05 for all); there was no difference in LDL-C by heritage. Overall, 38.2% of adults with diabetes were taking a statin, and 50.5% were taking ACE/ARB medications. CONCLUSION: Hemoglobin A1c, BP, and LDL-C control are suboptimal among Hispanic/Latinos with diabetes living in the U.S. With 8.4% meeting all three recommendations, substantial opportunity exists to improve diabetes control in this population. ABBREVIATIONS: A1c = hemoglobin A1c; ABC = hemoglobin A1c, blood pressure, low-density-lipoprotein cholesterol; ACE = angiotensin-converting enzyme; ADA = American Diabetes Association; ARB = angiotensin receptor blocker; BMI = body mass index; BP = blood pressure; CHD = coronary heart disease; CVD = cardiovascular disease; HCHS/SOL = Hispanic Community Health Study/Study of Latinos; LDL-C = low-density-lipoprotein cholesterol; NHANES = National Health and Nutrition Examination Survey; PAD = peripheral artery disease.

A behavioral weight-loss intervention in persons with serious mental illness.

BACKGROUND: Overweight and obesity are epidemic among persons with serious mental illness, yet weight-loss trials systematically exclude this vulnerable population. Lifestyle interventions require adaptation in this group because psychiatric symptoms and cognitive impairment are highly prevalent. Our objective was to determine the effectiveness of an 18-month tailored behavioral weight-loss intervention in adults with serious mental illness. METHODS: We recruited overweight or obese adults from 10 community psychiatric rehabilitation outpatient programs and randomly assigned them to an intervention or a control group. Participants in the intervention group received tailored group and individual weight-management sessions and group exercise sessions. Weight change was assessed at 6, 12, and 18 months. RESULTS: Of 291 participants who underwent randomization, 58.1% had schizophrenia or a schizoaffective disorder, 22.0% had bipolar disorder, and 12.0% had major depression. At baseline, the mean body-mass index (the weight in kilograms divided by the square of the height in meters) was 36.3, and the mean weight was 102.7 kg (225.9 lb). Data on weight at 18 months were obtained from 279 participants. Weight loss in the intervention group increased progressively over the 18-month study period and differed significantly from the control group at each follow-up visit. At 18 months, the mean between-group difference in weight (change in intervention group minus change in control group) was -3.2 kg (-7.0 lb, P=0.002); 37.8% of the participants in the intervention group lost 5% or more of their initial weight, as compared with 22.7% of those in the control group (P=0.009). There were no significant between-group differences in adverse events. CONCLUSIONS: A behavioral weight-loss intervention significantly reduced weight over a period of 18 months in overweight and obese adults with serious mental illness. Given the epidemic of obesity and weight-related disease among persons with serious mental illness, our findings support implementation of targeted behavioral weight-loss interventions in this high-risk population. (Funded by the National Institute of Mental Health; ACHIEVE ClinicalTrials.gov number, NCT00902694.).

Leukocyte telomere length and diabetes status, duration, and control: the 1999-2002 National Health and Nutrition Examination Survey.

BACKGROUND: Studies investigating the association between telomere length and diabetes have been inconsistent, and there are few data available investigating the associations of telomere length with diabetes duration and control. We evaluated the relationship of leukocyte telomere length with diabetes, and the relationship of leukocyte telomere length with diabetes duration and poor glucose control among people with diabetes. METHODS: We used data from the 1999-2002 National Health and Nutrition Examination Survey, a representative sample of the US civilian non-institutionalized population. In 3921 participants, leukocyte telomere length was measured and diabetes status was determined based on a previous diagnosis, hemoglobin A1c ≥ 6.5 %, or fasting glucose ≥ 126 mg/dL. RESULTS: The odds ratios (95 % confidence intervals) of diabetes associated with the first, second, and third quartile of leukocyte telomere length, compared to the highest quartile, was 2.09 (1.46-2.98), 1.74 (1.30-2.31), and 1.08 (0.76-1.54), respectively (p-trend < 0.01), in unadjusted models and 0.74 (0.48-1.14), 0.91 (0.61-1.34), and 0.87 (0.59-1.29), respectively (p-trend = 0.20), in multivariable adjusted models. Among participants with diabetes, unadjusted and adjusted leukocyte telomere length was not associated with diabetes duration or glucose control based on an hemoglobin A1c < 7 or < 8 % (all p > 0.05). CONCLUSIONS: In this study of the US general population, leukocyte telomere length was not associated with diabetes status, diabetes duration, or diabetes control.

Prevalence of and Trends in Diabetes Among Adults in the United States, 1988-2012.

IMPORTANCE: Previous studies have shown increasing prevalence of diabetes in the United States. New US data are available to estimate prevalence of and trends in diabetes. OBJECTIVE: To estimate the recent prevalence and update US trends in total diabetes, diagnosed diabetes, and undiagnosed diabetes using National Health and Nutrition Examination Survey (NHANES) data. DESIGN, SETTING, AND PARTICIPANTS: Cross-sectional surveys conducted between 1988-1994 and 1999-2012 of nationally representative samples of the civilian, noninstitutionalized US population; 2781 adults from 2011-2012 were used to estimate recent prevalence and an additional 23,634 adults from 1988-2010 were used to estimate trends. MAIN OUTCOMES AND MEASURES: The prevalence of diabetes was defined using a previous diagnosis of diabetes or, if diabetes was not previously diagnosed, by (1) a hemoglobin A1c level of 6.5% or greater or a fasting plasma glucose (FPG) level of 126 mg/dL or greater (hemoglobin A1c or FPG definition) or (2) additionally including 2-hour plasma glucose (2-hour PG) level of 200 mg/dL or greater (hemoglobin A1c, FPG, or 2-hour PG definition). Prediabetes was defined as a hemoglobin A1c level of 5.7% to 6.4%, an FPG level of 100 mg/dL to 125 mg/dL, or a 2-hour PG level of 140 mg/dL to 199 mg/dL. RESULTS: In the overall 2011-2012 population, the unadjusted prevalence (using the hemoglobin A1c, FPG, or 2-hour PG definitions for diabetes and prediabetes) was 14.3% (95% CI, 12.2%-16.8%) for total diabetes, 9.1% (95% CI, 7.8%-10.6%) for diagnosed diabetes, 5.2% (95% CI, 4.0%-6.9%) for undiagnosed diabetes, and 38.0% (95% CI, 34.7%-41.3%) for prediabetes; among those with diabetes, 36.4% (95% CI, 30.5%-42.7%) were undiagnosed. The unadjusted prevalence of total diabetes (using the hemoglobin A1c or FPG definition) was 12.3% (95% CI, 10.8%-14.1%); among those with diabetes, 25.2% (95% CI, 21.1%-29.8%) were undiagnosed. Compared with non-Hispanic white participants (11.3% [95% CI, 9.0%-14.1%]), the age-standardized prevalence of total diabetes (using the hemoglobin A1c, FPG, or 2-hour PG definition) was higher among non-Hispanic black participants (21.8% [95% CI, 17.7%-26.7%]; P < .001), non-Hispanic Asian participants (20.6% [95% CI, 15.0%-27.6%]; P = .007), and Hispanic participants (22.6% [95% CI, 18.4%-27.5%]; P < .001). The age-standardized percentage of cases that were undiagnosed was higher among non-Hispanic Asian participants (50.9% [95% CI, 38.3%-63.4%]; P = .004) and Hispanic participants (49.0% [95% CI, 40.8%-57.2%]; P = .02) than all other racial/ethnic groups. The age-standardized prevalence of total diabetes (using the hemoglobin A1c or FPG definition) increased from 9.8% (95% CI, 8.9%-10.6%) in 1988-1994 to 10.8% (95% CI, 9.5%-12.0%) in 2001-2002 to 12.4% (95% CI, 10.8%-14.2%) in 2011-2012 (P < .001 for trend) and increased significantly in every age group, in both sexes, in every racial/ethnic group, by all education levels, and in all poverty income ratio tertiles. CONCLUSIONS AND RELEVANCE: In 2011-2012, the estimated prevalence of diabetes was 12% to 14% among US adults, depending on the criteria used, with a higher prevalence among participants who were non-Hispanic black, non-Hispanic Asian, and Hispanic. Between 1988-1994 and 2011-2012, the prevalence of diabetes increased in the overall population and in all subgroups evaluated.

Blood glucose, blood pressure, and cholesterol testing among adults with diabetes before and during the COVID-19 pandemic, USA, 2019 vs 2021.

INTRODUCTION: Regular blood glucose/A1c, blood pressure (BP), and cholesterol (ABC) testing is important for diabetes management. It is unknown whether pandemic-related disruptions in medical care were negatively associated with ABC testing among US adults with diagnosed diabetes. RESEARCH DESIGN AND METHODS: A cross-sectional analysis was conducted among adults ≥18 years with diagnosed diabetes who participated in the 2019 or 2021 National Health Interview Survey (n=3355 and n=3127, respectively). Adults with diabetes self-reported sociodemographic and diabetes-related characteristics, ABC testing in the past year, and delays or not getting medical care due to the pandemic (2021 only). Descriptive statistics were used to determine differences in ABC testing in 2019 vs 2021. Logistic regression models were used to assess the association between delays or not getting medical care due to the pandemic and ABC testing, adjusting for sociodemographic characteristics, diabetes duration, and diabetes medication use. RESULTS: Overall, the prevalence of having a blood glucose/A1c or a BP test in the past year was high (>90%) but it was significantly lower in 2021 compared with 2019 (A1c: 94.2% vs 96.8%, p<0.001; BP: 96.8% vs 98.4%, p=0.002, respectively). Cholesterol testing remained stable (93.0% in 2021 vs 94.5% in 2019, p=0.053). In logistic regression analysis, after full adjustment, adults who reported delaying or not getting medical care when needed due to the pandemic were 50% less likely to get an ABC test in the past year compared with those who promptly received medical care (A1c: adjusted OR (aOR)=0.44, 95% CI 0.29-0.68; BP: aOR=0.48, 95% CI 0.27-0.85; cholesterol: aOR=0.48, 95% CI 0.31-0.75). CONCLUSIONS: Disruptions in medical care during the pandemic were associated with a decrease in ABC testing. Future research is needed to assess whether blood glucose/A1c and BP testing returns to prepandemic levels and if reductions in these tests result in excess diabetes-related complications.

Opioid prescription and diabetes among Medicare beneficiaries.

AIMS: To determine the prevalence of opioid prescriptions among U.S. Medicare beneficiaries by diabetes status, and predictors of opioid prescription among those with diabetes. METHODS: This retrospective study used claims data from the Centers for Medicare and Medicaid Services among beneficiaries age ≥ 65 years who were continuously enrolled in Part A, Part B, and Part D Medicare between 2017 and 2019 (N = 709,374). Logistic regression was used to determine the odds of opioid prescription among those with vs without diabetes; and, among those with diabetes, significant predictors of opioid prescription. RESULTS: Overall, the prevalence of any opioid prescription was 30.8 % among persons with diabetes and 24.2 % in those without diabetes (p < 0.001); chronic use was 8.0 % and 7.4 %, respectively (p < 0.001). Those with diabetes had a 45 % higher odds of having an opioid prescription compared to those without diabetes after adjusting for sociodemographic characteristics (OR = 1.45, 1.44-1.47). After adjustment for comorbidities/complications, the association reversed (OR = 0.83, 0.82-0.84). Persons with diabetes who had hypertension, obesity, CVD, neuropathy, amputation, liver disease, COPD, cancer, osteoporosis, depression, or alcohol/drug abuse had a 20 %-140 % higher odds of opioid prescription compared to those without these conditions. CONCLUSIONS: Comorbidities and complications accounted for the higher odds of opioid prescriptions among those with diabetes.

Food insecurity, diet quality, and suboptimal diabetes management among US adults with diabetes.

INTRODUCTION: A healthy diet is recommended to support diabetes management, including HbA1c, blood pressure, and cholesterol (ABC) control, but food insecurity is a barrier to consuming a healthy diet. We determined the prevalence of food insecurity and diet quality among US adults with diabetes and the associations with ABC management. RESEARCH DESIGN AND METHODS: Cross-sectional analyses were conducted among 2075 adults ≥20 years with diagnosed diabetes who participated in the 2013-2018 National Health and Nutrition Examination Surveys. Food insecurity was assessed using a standard questionnaire and diet quality was assessed using quartiles of the 2015 Healthy Eating Index. Adjusted ORs (aOR, 95% CI) were calculated from logistic regression models to determine the association between household food insecurity/diet quality and the ABCs while controlling for sociodemographic characteristics, healthcare utilization, smoking, medication for diabetes, blood pressure, or cholesterol, and body mass index. RESULTS: Overall, 17.6% of adults had food insecurity/low diet quality; 14.2% had food insecurity/high diet quality; 33.1% had food security/low diet quality; and 35.2% had food security/high diet quality. Compared with adults with food security/high diet quality, those with food insecurity/low diet quality were significantly more likely to have HbA1c ≥7.0% (aOR=1.85, 95% CI 1.23 to 2.80) and HbA1c ≥8.0% (aOR=1.79, 95% CI 1.04 to 3.08); food insecurity/high diet quality was significantly associated with elevated HbA1c; and food security/low diet quality with elevated A1c. CONCLUSIONS: Food insecurity, regardless of diet quality, was significantly associated with elevated A1c. For people with food insecurity, providing resources to reduce food insecurity could strengthen the overall approach to optimal diabetes management.

Association between gestational diabetes and 6-year incident diabetes: results from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).

OBJECTIVE: Type 2 diabetes and gestational diabetes (GDM) disproportionately affect those of Hispanic/Latino heritage. This study examined the association between GDM and prevalent and incident diabetes in a community-based study of Hispanic/Latina women living in the USA. METHODS: Participants were women aged 18-74 years in the Hispanic Community Health Study/Study of Latinos who had at least one pregnancy and had information on self-reported history of GDM at baseline (n=6389). Logistic regression was used to determine the association between GDM and prevalent (2008-2011) and incident (2014-2017) diabetes and interactions between GDM and risk factors for incident diabetes. RESULTS: At baseline, 8.7% of participants reported a history of GDM and 18.6% had prevalent diabetes. Women with Mexican heritage had the highest prevalence of GDM history (11.3%) vs women of Cuban (5.0%), Central American (4.9%), and South American (3.8%) heritage (p<0.001 for each comparison to Mexican heritage). Women with self-reported GDM were four times more likely to have prevalent diabetes compared with women without GDM, after adjusting for sociodemographic characteristics and cardiometabolic risk factors (adjusted OR (aOR)=3.94, 95% CI 2.75 to 5.64). Overall incidence of diabetes was 14.3/100 women. Women with GDM at baseline increased their odds of incident diabetes by threefold compared with women without GDM (aOR=3.25, 95% CI 2.09 to 5.05). Women with Cuban or Puerto Rican heritage and GDM had significantly higher odds of incident diabetes compared with women with Mexican heritage (aOR=2.15, 95% CI 1.17 to 3.95; aOR=1.95, 95% CI 1.07 to 3.55, respectively). CONCLUSION: Self-reported GDM was significantly associated with a threefold higher risk of incident diabetes among Hispanic/Latino women in the USA even after adjusting for several significant predictors of diabetes.

Vitamin D, Calcium, Magnesium, and Potassium Consumption and Markers of Glucose Metabolism in the Hispanic Community Health Study/Study of Latinos.

OBJECTIVE: This was a cross-sectional study associating vitamin D, calcium, magnesium, and potassium intakes with markers of glucose metabolism in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). METHODS: HCHS/SOL is a multicenter, prospective, population-based cohort study on Hispanics/Latinos aged 18-74 years in the US. For this analysis, we included 10,609 participants who were free of diabetes. Analysis of covariance was used to assess associations of a range of micronutrient intake on the Homeostatic Model Assessment of Insulin Resistance (HOMA-IR), Hemoglobin A1c (HbA1c), and 2-hour post-oral glucose tolerance test (2h-plasma glucose) separately for normoglycemic and with pre-diabetes, after controlling for important confounders. All analyses accounted for the complex sample design and sampling weights. RESULTS: HOMA-IR levels were significantly lower among adults with intakes in the highest quartile for vitamin D, magnesium, and potassium compared to the respective lowest quartiles, for those with normoglycemia and pre-diabetes, even after adjusting for confounders, such as diet quality (p < 0.05). For those with pre-diabetes, HOMA-IR levels were also significantly lower for those in the highest quartile of calcium intake. However, 2h-plasma glucose was significantly higher in those with intakes higher than quartile 1 for vitamin D and calcium among those with normoglycemia and significantly higher in quartile 3 of potassium intake for those with pre-diabetes, p < 0.05. No significant associations were found for HbA1c in either group. CONCLUSIONS: Higher consumption of vitamin D, magnesium, and potassium are associated with optimal levels of HOMA-IR among participants with normoglycemia and pre-diabetes.

Association of walkability with obesity in Baltimore City, Maryland.

OBJECTIVES: To investigate the association between walkability and obesity, we studied adults residing in Baltimore City, Maryland, in neighborhoods of varying racial and socioeconomic composition. METHODS: We conducted a cross-sectional study of 3493 participants from the study Healthy Aging in Neighborhoods of Diversity across the Life Span. We used the Pedestrian Environment Data Scan to measure neighborhood walkability in 34 neighborhoods of diverse racial and socioeconomic composition in which the study participants lived. Confirmatory factor analysis was used to determine walkability scores. Multilevel modeling was used to determine prevalence ratios for the association between walkability and obesity. RESULTS: Among individuals living in predominately White and high-socioeconomic status (SES) neighborhoods, residing in highly walkable neighborhoods was associated with a lower prevalence of obesity when compared with individuals living in poorly walkable neighborhoods, after adjusting for individual-level demographic variables (prevalence ratio-[PR] = 0.58; P = <.001 vs PR = 0.80; P = .004). Prevalence ratios were similar after controlling for the perception of crime, physical activity, and main mode of transportation. The association between walkability and obesity for individuals living in low-SES neighborhoods was not significant after accounting for main mode of transportation (PR = 0.85; P = .060). CONCLUSIONS: Future research is needed to determine how differences in associations by neighborhood characteristics may contribute to racial disparities in obesity.

Healthy food availability and the association with BMI in Baltimore, Maryland.

OBJECTIVE: To study the association between the availability of healthy foods and BMI by neighbourhood race and socio-economic status (SES). DESIGN: Trained staff collected demographic information, height, weight and 24 h dietary recalls between 2004 and 2008. Healthy food availability was determined in thirty-four census tracts of varying racial and SES composition using the Nutrition Environment Measures Survey-Stores in 2007. Multilevel linear regression was used to estimate associations between healthy food availability and BMI. SETTING: Baltimore City, Maryland, USA. SUBJECTS: Adults aged 30-64 years (n 2616) who participated in the Healthy Aging in Neighborhoods of Diversity across the Life Span study. RESULTS: Among individuals living in predominantly white neighbourhoods, high availability of healthy foods was associated with significantly higher BMI compared with individuals living in neighbourhoods with low availability of healthy food after adjustment for demographic variables (ß = 3.22, P = 0.001). Associations were attenuated but remained significant after controlling for dietary quality (ß = 2.81, P = 0.012). CONCLUSIONS: Contrary to expectations, there was a positive association between the availability of healthy food and higher BMI among individuals living in predominantly white neighbourhoods. This result could be due to individuals in neighbourhoods with low healthy food availability travelling outside their neighbourhood to obtain healthy food.

Associations between quality indicators of internal medicine residency training programs.

BACKGROUND: Several residency program characteristics have been suggested as measures of program quality, but associations between these measures are unknown. We set out to determine associations between these potential measures of program quality. METHODS: Survey of internal medicine residency programs that shared an online ambulatory curriculum on hospital type, faculty size, number of trainees, proportion of international medical graduate (IMG) trainees, Internal Medicine In-Training Examination (IM-ITE) scores, three-year American Board of Internal Medicine Certifying Examination (ABIM-CE) first-try pass rates, Residency Review Committee-Internal Medicine (RRC-IM) certification length, program director clinical duties, and use of pharmaceutical funding to support education. Associations assessed using Chi-square, Spearman rank correlation, univariate and multivariable linear regression. RESULTS: Fifty one of 67 programs responded (response rate 76.1%), including 29 (56.9%) community teaching and 17 (33.3%) university hospitals, with a mean of 68 trainees and 101 faculty. Forty four percent of trainees were IMGs. The average post-graduate year (PGY)-2 IM-ITE raw score was 63.1, which was 66.8 for PGY3s. Average 3-year ABIM-CE pass rate was 95.8%; average RRC-IM certification was 4.3 years. ABIM-CE results, IM-ITE results, and length of RRC-IM certification were strongly associated with each other (p<0.05). PGY3 IM-ITE scores were higher in programs with more IMGs and in programs that accepted pharmaceutical support (p<0.05). RRC-IM certification was shorter in programs with higher numbers of IMGs. In multivariable analysis, a higher proportion of IMGs was associated with 1.17 years shorter RRC accreditation. CONCLUSIONS: Associations between quality indicators are complex, but suggest that the presence of IMGs is associated with better performance on standardized tests but decreased duration of RRC-IM certification.

A nutritional intervention to reduce the calorie content of meals served at psychiatric rehabilitation programs.

To assess the effectiveness of an intervention to reduce the calorie content of meals served at two psychiatric rehabilitation programs. Intervention staff assisted kitchen staff with ways to reduce calories and improve the nutritional quality of meals. Breakfast and lunch menus were collected before and after a 6-month intervention period. ESHA software was used to determine total energy and nutrient profiles of meals. Total energy of served meals significantly decreased by 28% at breakfast and 29% at lunch for site 1 (P < 0.05); total energy significantly decreased by 41% at breakfast for site 2 (P = 0.018). Total sugars significantly decreased at breakfast for both sites (P ≤ 0.001). In general, sodium levels were high before and after the intervention period. The nutrition intervention was effective in decreasing the total energy and altering the composition of macro-nutrients of meals. These results highlight an unappreciated opportunity to improve diet quality in patients attending psychiatric rehabilitation programs.

Dietary intake of adults with serious mental illness.

OBJECTIVE: Suboptimal diet may be related to the high prevalence of obesity and cardiovascular disease (CVD) in persons with serious mental illnesses, but few studies have characterized dietary intake in this population. METHODS: Participants were 102 overweight/obese adults with serious mental illnesses who were being screened for a weight loss trial in psychiatric rehabilitation centers. Direct observation of participant meals was completed using a standardized measurement form. RESULTS: CVD risk factors were common: mean body mass index was 35.7 kg/m2; 30% had diabetes. Participants consumed 100% of caloric beverages served (7.2 oz/meal) but consumption was significantly less than served for fruits (difference of 0.12 cups/meal, p=0.003) and vegetables (0.14 cups/meal, p=0.021). The majority (56%) of meat consumed was high fat. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Interventions designed to improve dietary intake of persons with serious mental illnesses are needed to improve health in this population at high risk for CVD.

Cognitive function among older adults with diabetes and prediabetes, NHANES 2011-2014.

AIMS: To determine the association between diabetes status, glycemia, and cognitive function among a national U.S. sample of older adults in the 2011-2014 National Health and Nutrition Examinations Surveys. METHODS: Among 1,552 adults age ≥ 60 years, linear and multivariable logistic regressions were used to determine the association between diabetes status (diabetes, prediabetes, normoglycemia) and cognitive function [Consortium to Establish a Registry for Alzheimer's Disease-Word Learning (CERAD W-L), Animal Fluency test, Digit Symbol Substitution Test (DSST)]. RESULTS: Overall, diabetes was associated with mild cognitive dysfunction. In age-adjusted models, adults with diabetes had significantly poorer performance on the delayed and total word recalls (CERAD W-L) compared to those with normoglycemia (5.8 vs. 6.8 words; p = 0.002 and 24.5 vs. 27.6 words; p < 0.001, respectively); the association was non-significant after adjusting for cardiovascular disease. Among all adults, cognitive function scores decreased with increasing HbA1c for all assessments, but remained significant in the fully adjusted model for the Animal Fluency and DSST [beta coefficient = -0.44;-1.11, p < 0.05, respectively]. As measured by the DSST, the proportion with cognitive impairment was significantly higher for older adults with HbA1c ≥ 8.0% (≥64 mmol/mol) vs. HbA1c < 7.0% (<53 mmol/mol) (14.6% vs. 6.3%, p = 0.04). CONCLUSIONS: Dysglycemia, as measured by HbA1c, was associated with poorer executive function and processing speed.