The health of younger adults in the U.S. has important public health and economic-related implications. However, previous literature is insufficient to fully understand how the health of this group ...has changed over time. This study examined generational differences in cardiovascular risk factors of younger adults over the past 40 years.
Data were from 6 nationally representative cross-sectional National Health and Nutrition Examination Surveys (1971-2012; N = 44,670). Participants were adults age 20-49 years who self-reported sociodemographic characteristics and health conditions, and had examination/laboratory measures for hypertension, hyperlipidemia, diabetes, obesity, and chronic kidney disease. Prevalences of sociodemographic characteristics and health status were determined by study period. Logistic regression was used to determine the odds odds ratio (OR), 95% confidence interval of health conditions by study period: models adjusted only for age, sex, and race, and fully adjusted models additionally adjusted for socioeconomic characteristics, smoking, BMI, diabetes, and/or hypertension (depending on the outcome) were assessed.
Participants in 2009-2012 were significantly more likely to be obese and have diabetes compared to those in 1971-1975 (OR = 4.98, 3.57-6.97; OR = 3.49, 1.59-7.65, respectively, fully adjusted). Participants in 2009-2012 vs. 1988-1994 were significantly more likely to have had hypertension but uncontrolled hypertension was significantly less likely (OR = 0.67, 0.52-0.86, fully adjusted). There was no difference over time for high cholesterol, but uncontrolled high cholesterol was significantly less likely in 2009-2012 vs. 1988-1994 (OR = 0.80, 0.68-0.94, fully adjusted). The use of hypertensive and cholesterol medications increased while chronic kidney and cardiovascular diseases were relatively stable.
Cardiovascular risk factors of younger U.S. adults have worsened over the past 40 years, but treatment for hypertension and high cholesterol has improved. The sub-optimal and worsening health in younger adults may have a substantial impact on health care utilization and costs, and should be considered when developing health care practices.
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.
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).
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).
Dysglycemia, as measured by HbA1c, was associated with poorer executive function and processing speed.
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.
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.
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.
•BPA was not associated with diabetes in a nationally representative sample.•Triclosan, BP-3, and parabens were associated with lower odds of diabetes.•The association of parabens/phenols was similar among those with prediabetes.
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.
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.
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).
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.
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.
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.
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.
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.).
•Opioid prescriptions were higher for those with diabetes vs without diabetes.•Opioid prescriptions decreased between 2008 and 2019, regardless of diabetes status.•Complications accounted for higher ...opioid prescriptions in those with diabetes.
To determine the prevalence of opioid prescriptions among U.S. Medicare beneficiaries by diabetes status, and predictors of opioid prescription among those with diabetes.
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.
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.
Comorbidities and complications accounted for the higher odds of opioid prescriptions among those with diabetes.
IntroductionA 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 methodsCross-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.ResultsOverall, 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.ConclusionsFood 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.
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.
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 β-cell function (HOMA-B), and glycated hemoglobin (HbA1c) among US Hispanic/Latino adults.
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.
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 β-cell function (HOMA-B). Intake of 100% fruit juice was not significantly associated with prediabetes nor with glucose metabolism markers.
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.
Diabetes and depression are common comorbid conditions. Although certain health behaviors and risk factors partially explain the association of depression and diabetes, other potential mechanisms ...have yet to be elucidated. Certain neuroendocrine alterations such as activation of the hypothalamic-pituitary-adrenal (HPA) axis and sympathetic nervous system (SNS) may contribute to the association. Additionally, presence of a proinflammatory state shown in recent literature in both diabetes and depression may contribute to this as well. The objectives of this review are to summarize and review the recent evidence showing alterations of these three biological systems—HPA axis, SNS, and inflammatory cascade—in depression, diabetes, and diabetes-related risk factors.
Abstract
Context
Evidence suggests that heart rate (HR) is a prognostic factor for cardiovascular disease (CVD), for which persons with diabetes are at increased risk.
Objective
The objective of this ...article is to determine the association between HR and glycemic status in a nationally representative sample of US adults, and, among adults with diagnosed diabetes, the association between HR and hemoglobin A1c (HbA1c) level.
Design
A cross-sectional study was conducted.
Setting
The setting of this study is the National Health and Nutrition Examination Surveys, 2011 to 2016.
Participants
US general adult (age ≥ 20 years) population who had information on glycemic status based on self-report, HbA1c, and fasting plasma glucose (N = 8562).
Intervention
There was no intervention.
Main outcome measure
The main outcome measure of this study was mean HR (beats per minute).
Results
After adjustment for examination time, age, other demographic characteristics, health insurance, health behaviors, body mass index, CVD and kidney disease, and taking antihypertensive medications, mean HR was significantly higher for those with diagnosed (75 bpm), undiagnosed diabetes (75 bpm), and prediabetes (73 bpm) compared to those with normoglycemia (71 bpm, P < .05 for all); this association was robust both for men and women. Mean HR increased with increasing HbA1c level among individuals with diagnosed diabetes independent of other risk factors (HbA1c < 7.0% < 53 mmol/mol, 73 bpm vs A1c ≥ 11.0% ≥ 97mmol/mol, 79 bpm, P < .001); this association was most pronounced for women.
Conclusions
Adjusted mean HR was higher among individuals with diabetes and increased glycemia, which may reflect underlying autonomic and/or myocardial dysfunction among those with diabetes.
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