Tuning and modeling cheese flavor.

Flavor is a major sensory attribute affecting consumers' preference for cheese products. Differences in cheesemaking change the cheese microenvironment, thereby affecting cheese flavor profiles. A framework for tuning cheese flavor is proposed in this study, which depicts the full picture of flavor development and modulation, from manufacturing and ripening factors through the main biochemical pathways to flavor compounds and flavor notes. Taking semi-hard and hard cheeses as examples, this review describes how cheese flavor profiles are affected by milk type and applied treatment, fat and salt content, microbiota composition and microbial interactions, ripening time, temperature, and environmental humidity, together with packaging method and material. Moreover, these factors are linked to flavor profiles through their effects on proteolysis, the further catabolism of amino acids, and lipolysis. Acids, alcohols, ketones, esters, aldehydes, lactones, and sulfur compounds are key volatiles, which elicit fruity, sweet, rancid, green, creamy, pungent, alcoholic, nutty, fatty, and sweaty flavor notes, contributing to the overall flavor profiles. Additionally, this review demonstrates how data-driven modeling techniques can link these influencing factors to resulting flavor profiles. This is done by providing a comprehensive review on the (i) identification of key factors and flavor compounds, (ii) discrimination of cheeses, and (iii) prediction of flavor notes. Overall, this review provides knowledge tools for cheese flavor modulation and sheds light on using data-driven modeling techniques to aid cheese flavor analysis and flavor prediction.

Racial and Ethnic Differences Among Active-Duty Service Members in Use of Mental Health Care and Perceived Mental Health Stigma: Results From the 2018 Health Related Behaviors Survey.

INTRODUCTION: The prevalence of mental health disorders is rising among US service members; however, research is limited on their use of mental health care. The objective of our study was to determine whether racial and ethnic disparities exist in the use of mental health care and perceived mental health stigma among active-duty service members. METHODS: We obtained data from a sample of 17,166 active-duty service members who participated in the 2018 Department of Defense Health Related Behavior Survey (HRBS). Racial and ethnic groups included Black, Hispanic, White, and other. Yes-no questions about use of mental health care and perceived mental health stigma were our outcome variables. We used multiple logistic regression to assess racial and ethnic differences in mental health care use and perceived mental health stigma by service members. Significance was set at P <.05. RESULTS: In 2018, approximately 25.5% of service members self-reported using mental health services, and 34.2% self-reported perceived mental health stigma. Hispanic service members (AOR = 0.78) and service members in the "other" racial and ethnic group (AOR = 0.81) were less likely than their White counterparts to have used mental health care. Black (AOR = 0.68) and Hispanic (AOR = 0.86) service members were less likely than their White counterparts to self-report perceived mental health stigma. CONCLUSION: The 2018 HRBS showed racial and ethnic differences in mental health care use and perceived stigma among US active-duty service members. Perceived stigma was a barrier to use of mental health care among service members with a mental health condition. Culture-sensitive programs customized for different racial and ethnic groups are needed to promote mental health care and reduce perceptions of stigma associated with its use.

Diabetes Self-management Education and Support Completion Before and During the COVID-19 Pandemic: Results From Local Health Departments in North Carolina.

OBJECTIVE: To assess diabetes self-management education and support (DSMES) completion rate and explore the differences in DSMES completion by different delivery models. METHODS: We conducted a retrospective analysis of 2017-2021 DSMES data at 2 local health departments (LHDs) in Eastern North Carolina. We evaluated DSMES completion by 2 delivery models. RESULTS: From 2017 to 2021, the overall DSMES completion rate was 15.3%. The delivery model of two 4-hour sessions was associated with a higher completion rate than the delivery model of four 2-hour sessions ( P < .05). Patients with less than a high school education and without health insurance were less likely to have completed their DSMES training ( P < .05). CONCLUSION: The DSMES completion rate at LHDs in North Carolina is very low. A delivery model consisting of 10 hours of education delivered in fewer sessions may contribute to a higher DSMES completion rate, but more research is needed. Targeted programs are needed to engage patients and improve DSMES completion.

Health Literacy Among Adults With Multiple Chronic Health Conditions.

Low health literacy (HL) is associated with poorer health outcomes. We examined HL among adults with multiple chronic conditions (CCs), using 2016 Behavioral Risk Factor Surveillance System data. Health literacy was measured by 3 subjective questions about difficulty with the following tasks: (1) obtaining health information or advice; (2) understanding spoken health information; and (3) understanding written health information. We estimated the prevalence of low HL (difficulty with ≥1 HL tasks) and used multiple logistic regression analysis to examine associations between HL and number of CCs. The prevalence of low HL was 13.8% overall and increased with the number of CCs from 10.6% among those with no CC to 24.7% among those with 3 or more CCs, with the latter having more than twice the adjusted odds of low HL compared with the former (adjusted odds ratio = 2.65; 95% confidence interval, 2.36-2.97). Efforts to improve HL in this population are needed.

Willingness to Get a COVID-19 Vaccine and Reasons for Hesitancy Among Medicare Beneficiaries: Results From a National Survey.

OBJECTIVES: To assess (1) the willingness to get a COVID-19 vaccine among Medicare beneficiaries, (2) the associated factors, and (3) the reasons for vaccine hesitancy. METHODS: Data were taken from the Medicare Current Beneficiary Survey (MCBS) 2020 Fall COVID-19 Supplement, conducted October-November 2020. Willingness to get a COVID-19 vaccine was measured by respondents' answer to whether they would get a COVID-19 vaccine when available. We classified responses of "definitely" and "probably" as "willing to get," and responses "probably not," "definitely not," and "not sure" as "vaccine hesitancy." Reasons for vaccine hesitancy were assessed by a series of yes/no questions focusing on 10 potential reasons. The analytical sample included 6715 adults 65 years and older. We conducted a logistic regression model to assess demographic factors and other factors associated with the willingness to get a COVID-19 vaccine. All analyses were conducted in Stata 14 and accounted for the complex survey design of MCBS. RESULTS: Overall, 61.0% (95% confidence interval [CI], 59.1-63.0) of Medicare beneficiaries would be willing to get a vaccine when available. Among those who were hesitant, more than 40% reported that mistrust of the government and side effects as the main reasons. Logistic regression model results showed that non-Hispanic Blacks (adjusted odds ratio [AOR] = 0.33; 95% CI, 0.24-0.44) and Hispanics (AOR = 0.60; 95% CI, 0.47-0.77) were less willing to get a vaccine than non-Hispanic Whites; beneficiaries with an income of less than $25 000 (AOR = 0.71; 95% CI, 0.62-0.81) were less willing to get the vaccine than those with an income of $25 000 or more; those who did not think that the COVID-19 virus was more contagious (AOR = 0.53; 95% CI, 0.41-0.69) or more deadly (AOR = 0.51; 95% CI, 0.41-0.65) were also less willing to get the vaccine than those who thought that the virus was more contagious or more deadly than the influenza virus. CONCLUSIONS: The 2020 MCBS survey data showed that close to 40% of Medicare beneficiaries were hesitant about getting a COVID-19 vaccine, and the hesitancy was greater in racial/ethnic minorities. Medicare beneficiaries were concerned about the safety of the vaccine, and some appeared to be misinformed. Evidence-based educational and policy-level interventions need to be implemented to further promote COVID-19 vaccination.

Trends and Rural-Urban Differences in Participation in Diabetes Self-management Education Among Adults in North Carolina: 2012-2017.

PURPOSE: This study aimed to report recent trends in self-reported diabetes self-management education (DSME) participation rates among adults in North Carolina and to compare these rates between rural and urban residents. METHODS: Data for this analysis were obtained from the NC Behavioral Risk Factor Surveillance System (BRFSS) for the years 2012, 2013, 2015, and 2017, when the survey included the diabetes module. Respondents were classified as having participated in DSME if they answered "Yes" to the question, "Have you ever taken a course or class in how to manage your diabetes yourself?" We used the Rural Urban Continuum Code to classify urban and rural residence. The study sample included 4368 adults 18 years or older with self-reported diabetes. We assessed the changes in DSME participation from 2012 to 2017. We used multiple logistic regression modeling to assess the association between rural residence and DSME participation. All analyses were conducted in Stata 14 and accounted for the survey design of the BRFSS. Statistical significance was set at P < .01. RESULTS: Overall, the DSME participation rates decreased slightly in the study period, from 55.8% in 2012 to 55.6% in 2013 to 56.5% in 2015 to 52.1% in 2017. By rural-urban residence, the rates were 52.3% versus 57.8% in 2012, 54.0% versus 56.5% in 2013, 48.8% versus 62.0% in 2015, and 46.7% versus 56.1% in 2017. The multiple logistic regression model results showed that rural residents were less likely to have participated in DSME (adjusted odds ratio = 0.78; 95% confidence interval, 0.64-0.94) than urban residents. Adults with higher income and education levels were also more likely to have participated in DSME (P < .01). CONCLUSIONS: The recent BRFSS data showed that the DSME participation rate declined slightly in North Carolina. There were persistent rural-urban disparities in DSME participation, with rural residents showing lower rates, and the gaps seemed to be widening. IMPLICATIONS FOR POLICY OR PRACTICE: Continuous efforts are needed to bring more American Diabetes Association/American Association of Diabetes Educators programs to rural communities and assist persons with diabetes to participate in DSME training to reduce the burden of diabetes. Furthermore, those in rural areas may need additional support.

Narrowing but persisting gender pay gap among employees of the US Department of Health and Human Services during 2010-2018.

BACKGROUND: The gender pay gap in the United States (US) has narrowed over the last several decades, with the female/male earnings ratio in the US increased from about 60% before the 1980s to about 79% by 2014. However, the gender pay gap among the healthcare workforce persists. The objective of this study is to estimate the gender pay gap in the US federal governmental public health workforce during 2010-2018. METHODS: We used an administrative dataset including annual pay rates and job characteristics of employees of the US Department of Health and Human Services. Employees' gender was classified based on first names. Regression analyses were used to estimate the gender pay gap using the predicted gender. RESULTS: Female employees of the DHHS earned about 13% less than men in 2010, and 9.2% less in 2018. Occupation, pay plan, and location explained more than half of the gender pay gap. Controlling for job grade further reduces the gap. The unexplained portion of the gender pay gap in 2018 was between 1.0 and 3.5%. Female employees had a slight advantage in terms of pay increase over the study period. CONCLUSIONS: While the gender pay gap has narrowed within the last two decades, the pay gap between female and male employees in the federal governmental public health workforce persists and warrants continuing attention and research. Continued efforts should be implemented to reduce the gender pay gap among the health workforce.

Rural, Suburban, and Urban Differences in Chronic Pain and Coping Among Adults in North Carolina: 2018 Behavioral Risk Factor Surveillance System.

INTRODUCTION: Our study aimed to examine the prevalence of chronic pain, its severity, its causes, and coping mechanisms that are used by North Carolina adults in rural, suburban, and urban areas. METHODS: We analyzed data from the Behavioral Risk Factor Surveillance System's first chronic pain module in 2018, representing 3,598 respondents. Self-reported chronic pain was defined as the affirmative response to the question, "Do you suffer from any type of chronic pain, that is, pain that occurs constantly or flares up often?" We computed prevalence of chronic pain and use of coping mechanisms by rural, suburban, or urban residential status. We used multiple logistic regression to assess the association between chronic pain and residential location, adjusting for demographic characteristics, employment, and health insurance. RESULTS: In 2018, an estimated 27.5% (95% confidence interval [CI], 25.6%-29.3%) of North Carolina adults experienced chronic pain. Prevalence of chronic pain in rural areas (30.9%) and suburban areas (30.8%) was significantly higher, compared with urban areas (19.6%). Compared with urban residents with chronic pain, those with chronic pain in suburban areas (adjusted odds ratio [AOR], 0.44; 95% CI, 0.26-0.76) and in rural areas (AOR, 0.39; 95% CI, 0.24-0.65) were less likely to use nonmedication therapies (eg, acupuncture, physical therapy, yoga) and were less likely to use 3 or more types of chronic pain treatment (suburban AOR, 0.47; 95% CI, 0.25-0.88; rural AOR, 0.53; 95% CI, 0.29-0.95). CONCLUSION: Our results indicate that persons living in rural and suburban areas may be more likely to have chronic pain and less likely to use nonmedication treatments than those in urban areas.

Association between home health agency ownership status and discharge to community among Medicare beneficiaries.

To investigate the association of ownership status, discharge rate and length of stay (LOS) of home health care (HH) services under the prospective payment system (PPS). We used 2016-2018 Outcome Assessment and Information Set (OASIS) data sets for Medicare beneficiaries. Two outcome variables were investigated: rate of discharge from an HH agency and LOS. Our main independent variable was ownership status: for-profit (FP) versus not-for-profit (NFP). FP agencies were 4.2% (p <.01) less likely to discharge patients to the community but more likely (7.3%; p <.001) to have longer LOS (>99 days) compared to NFPs. Findings that FP agencies were less likely to discharge patients to the community and more likely to have a longer length of stay than NFP agencies have implications for quality of care initiatives by the Medicare Post-Acute Transformation Act 2014.

Diabetes Self-Care and Clinical Care Among Adults With Low Health Literacy.

OBJECTIVE: Low health literacy has been associated with unfavorable health outcomes. We examined diabetes self- and clinical care measures among adults with diabetes by 3 dimensions of health literacy. DESIGN/SETTING: Questions about health literacy were available for optional use in the 2016 Behavioral Risk Factor Surveillance System. We analyzed 2016 Behavioral Risk Factor Surveillance System data from 4 states and the District of Columbia that had included both the Health Literacy and Diabetes optional modules. PARTICIPANTS: Respondents who participated in the 2016 Behavioral Risk Factor Surveillance System in Alabama, Louisiana, Mississippi, Virginia, and Washington, District of Columbia, and completed both modules (n = 4397). MAIN OUTCOME MEASURES: Health literacy was measured by level of difficulty (easy, difficult) with 3 health literacy tasks: getting health advice or information, understanding health information delivered orally by health professionals, and understanding written health information. Diabetes care measures included physical activity, self-monitoring blood glucose, self-checking feet, hemoglobin A1c testing, professional foot examination, flu vaccination, professional eye examination, dental visits, and diabetes self-management education. RESULTS: Among those with self-reported diabetes, 5.9% found it difficult to get health advice or information, 10.7% found it difficult to understand information health professionals told them, and 12.0% found it difficult to understand written health information. Those who found it difficult to get health advice or information had 44% to 56% lower adjusted odds of A1c testing, professional foot examinations, and dental visits; those who found it difficult to understand written health information had lower odds of self-monitoring glucose and self-checking feet. Difficulty understanding both oral and written health information was associated with never having taken a diabetes self-management class. CONCLUSIONS: Our results suggest that problems with health literacy may be a barrier to good disease management among adults with diabetes and that health care providers should be attentive to the needs of patients with low health literacy, especially for diabetes-specific specialty care.

Use of oral health care services in the United States: unequal, inequitable-a cross-sectional study.

BACKGROUND: Social determinants drive disparities in dental visiting. Disparities can be measured simply by comparing outcomes between groups (inequality) but can also consider concepts of social justice or fairness (inequity). This study aimed to assess differences in dental visiting in the United States in terms of both social inequality and inequity. METHODS: Data were obtained from a cross-sectional study-the National Health and Nutrition Examination Survey (NHANES) 2015-2016, and participants were US adults aged 30+ years. The outcome of interest, use of oral health care services, was measured in terms of dental visiting in the past 12 months. Disparity was operationalized through education and income. Other characteristics included age, gender, race/ethnicity, main language, country of birth, citizenship and oral health status. To characterize existing inequality in dental service use, we examined bivariate relationships using indices of inequality: the absolute and relative concentration index (ACI and RCI), the slope index of inequality (SII) and relative index of inequality (RII) and through concentration curves (CC). Indirect standardization with a non-linear model was used to measure inequity. RESULTS: A total of 4745 US adults were included. Bivariate analysis showed a gradient by both education and income in dental visiting, with a higher proportion (> 60%) of those with lower educational attainment /lower income having not visited a dentist. The concentration curves showed pro-higher education and income inequality. All measures of absolute and relative indices were negative, indicating that from lower to higher socioeconomic position (education and income), the prevalence of no dental visiting decreased: ACI and RCI estimates were approximately 8% and 20%, while SII and RII estimates were 50% and 30%. After need-standardization, the group with the highest educational level had nearly 2.5 times- and the highest income had near three times less probability of not having a dental visit in the past 12 months than those with the lowest education and income, respectively. CONCLUSION: The findings indicate that use of oral health care is threatened by existing social inequalities and inequities, disproportionately burdening disadvantaged populations. Efforts to reduce both oral health inequalities and inequities must start with action in the social, economic and policy spheres.

Health Literacy, Self-management Activities, and Glycemic Control Among Adults With Type 2 Diabetes: A Path Analysis.

PURPOSE: This study evaluated a novel composite measure of health literacy and numeracy by assessing its predictive validity for diabetes self-care activities and glycemic control. METHODS: Patients (N = 102) with type 2 diabetes were recruited from a family medicine clinic at an academic medical center. Combined health literacy was assessed by combining the results of the Health Literacy Scale and the Subjective Numeracy Scale. Self-management activities were assessed by the Summary of Diabetes Self-Care Activities scale. Hemoglobin A1c (A1c) values were extracted from patients' medical records to assess glycemic control. Path models were used to test the predicted pathways linking health literacy and numeracy, independently and together, to self-management activities and glycemic control. RESULTS: The mean combined literacy score was 72.0 (range, 33-104); the mean health literacy score alone was 43.9 (range, 14-56); and the mean numeracy score alone was 28.1 (range, 8-48). The direct effects results showed that the combined health literacy score (B = 0.107, P < .05) and the health literacy score alone (B = 0.234, P < .05) were significantly associated with self-care activities. The health literacy score alone also had a significant direct effect on A1c (B = -0.081, P < .05). The indirect effects of the combined health literacy on glycemic control through self-care activities were not statistically significant. CONCLUSIONS: Findings from this study suggest that the combined health literacy has predictive validity for self-care activities whereas the health literacy alone has predictive validity for glycemic control. More research is needed to validate these findings. Higher patient health literacy skills were not consistently associated with higher perceived numeracy skills. Additional attention and efforts should be made to make sure patients understand medical instructions involving numerical calculations.

Tracking Trends in the Opioid Epidemic in North Carolina : Early Results from the Opioid Action Plan Metrics.

BACKGROUND Deaths from unintentional opioid overdose have increased markedly over the last decade in North Carolina. In 2017 the state created a North Carolina Opioid Action Plan, which laid out a multisectoral response to the crisis that included the medical community, law enforcement, emergency medical services, and treatment professionals. It also created a website providing county-level data associated with the crisis. Using this publicly available data, we examine trends and associations between opioid-related mortality and strategies to reduce opioid prescriptions, reduce fatality of overdose, and improve treatment and recovery.METHOD We examine yearly trends from 2010-2017 for statewide unintentional opioid-related death rates, prescription of opioid pills, buprenorphine prescription rates, naloxone administrations, and number of Certified Peer Support Specialists. We compare recent opioid-related death rates for 2015-2017 with an earlier period (2010-2012) at the county level, and examine the association between death rates and rates of the supply, treatment, and recovery metrics.RESULTS Trends for all metrics increased from 2010-2017, although the number of opioid pills per capita has declined since 2015. Between 2010 and 2017, 84 of the state's 100 counties experienced an increase in opioid-related mortality. County-level mortality was positively associated with opioid prescription rate (r = +0.12, P = 0.24) and with naloxone administrations (r = +0.20, P = 0.05). Prescription of buprenorphine was associated with a reduction in opioid mortality (r = -0.27, P = 0.01). The effect of Certified Peer Support Specialists was not discernable.LIMITATIONS Data are available for only eight years and aggregated at the county level. Mortality data are based on death certificates using ICD-10 codes from the North Carolina State Center for Health Statistics, Vital Statistics, which may not capture all opioid-related fatalities. Drug-related deaths may involve multiple non-opioid substances; in addition, determining the intent of the deceased individual may be difficult (suicide versus unintentional). Naloxone administration data only includes data from emergency medical services, not community-administered naloxone, because that data was only available for 2013 and later and is based only on self-reports.CONCLUSIONS The potential efficacy of buprenorphine is promising and should be further explored. All interventions should be monitored.

Self-reported Health Literacy Among North Carolina Adults and Associations with Health Status and Chronic Health Conditions.

BACKGROUND Low health literacy is a recognized contributor to health disparities. Significant proportions of the adult population, especially the underserved, have low health literacy. The purpose of this study was to examine health literacy and its associations with health status and chronic health conditions among North Carolina adults.METHODS The 2016 North Carolina Behavioral Risk Factor Surveillance System included health literacy questions that focused on accessing and understanding health information. Using these self-reported data, we estimated the prevalence of low health literacy and assessed its associations with general health status and chronic health conditions after adjusting for sociodemographic characteristics and health care access.RESULTS Overall, 4.8% of adults reported having difficulty getting health information or advice, 7.5% understanding oral information from health professionals, and 8.3% understanding written health information; 14.8% reported having difficulty with at least one of these tasks. The adjusted odds of low health literacy were moderately higher for those who had been diagnosed with the following conditions compared to those not diagnosed: heart attack, coronary heart disease, or stroke (AOR = 1.81, 95% CI=1.33, 2.47); COPD (AOR = 1.67, 95% CI = 1.19, 2.34); arthritis (AOR = 1.68, 95% CI = 1.32, 2.15); depression (AOR = 1.95, 95% CI=1.52, 2.50); and kidney disease (AOR = 1.62, 95% CI = 1.02, 2.60).LIMITATIONS All data were self-reported.CONCLUSIONS A notable segment of the North Carolina adult population has low health literacy, and those who do are particularly vulnerable to adverse health status. Targeted efforts are needed to identify strategies to improve health literacy and decrease health disparities.

Health Care Access and Receipt of Clinical Diabetes Preventive Care for Working-Age Adults With Diabetes in States With and Without Medicaid Expansion: Results from the 2013 and 2015 BRFSS.

OBJECTIVE: This study aimed to assess whether the recent Medicaid expansion, as a natural experiment, was associated with better access to care and, as a consequence, better receipt of clinical diabetes care services. METHODS: Data were from the Behavioral Risk Factor Surveillance System (BRFSS). The analytical sample included 20 708 working-age adults with diabetes aged 18 to 64 years from 22 states. The outcome variables included 4 measures of access to care and 4 measures of receipt of clinical diabetes care services. A difference-in-difference logistic regression model was used to compare changes in outcomes between respondents in Medicaid expansion and nonexpansion states. Data from the 2013 survey provided pre-Medicaid expansion information, and data from the 2015 survey provided postexpansion information. Analyses were conducted using Stata 13 using survey commands to account for the complex survey design of BRFSS. RESULTS: A significant increase was observed in health insurance coverage for people with diabetes from 2013 to 2015 (P < .05) in both Medicaid expansion and nonexpansion states, with a larger increase in the Medicaid expansion states. The Time by Medicaid expansion interaction term was significant for 2 measures of access to care: health insurance coverage (adjusted odds ratio [AOR] = 1.43, 95% confidence interval: 1.04-1.96) and having an annual checkup (AOR = 1.30, 95% confidence interval: 1.00-1.71). Respondents in expansion states were more likely to have a personal doctor and more likely to be able to afford a physician visit than those in nonexpansion states. The Time by Medicaid expansion was close to significance for one of the measures of clinical diabetes care: getting flu shots (AOR = 1.20, P = .08). CONCLUSIONS: Medicaid expansion did improve health care access but no significant improvement was found for receipt of clinical diabetes care for people with diabetes. Resources provided through Medicaid are vital for diabetes control and management.

Trends and Racial/Ethnic Disparities in Diabetic Retinopathy Among Adults with Diagnosed Diabetes in North Carolina, 2000-2015.

BACKGROUND There is limited information available in North Carolina on the current burden of, and racial disparities in, diabetic retinopathy (DR), a major complication associated with diabetes mellitus (DM). This study aims to describe the overall trend of, and racial/ethnic disparities in, DR among adults with DM in North Carolina.METHODS Data were from 13 waves (2000, 2002-2010, 2012, 2013, and 2015) of the Behavioral Risk Factor Surveillance System. The study sample included 16,976 adults aged ≥ 40 years with DM in North Carolina. DR was identified by self-report by the question, "Has a doctor ever told you that diabetes has affected your eyes or that you had retinopathy?" The overall prevalence of DR was assessed during the time period, and was compared between whites and blacks. All analyses were conducted using Stata 13.0.RESULTS The prevalence of self-reported DR in North Carolina decreased from 27.2% in 2000 to 18.3% in 2015, a reduction of 33% (Trend P = .003). The age-adjusted DR prevalence in whites decreased from 21.7% to 17.6% (Trend P = .04), and in blacks from 39.4% to 20.2% (Trend P = .002). The declining rates in DR were not statistically different between whites and blacks (P = .06). Blacks were more likely to report DR (adjusted odds ratio = 1.20, 95% confidence interval, 1.03-1.40) during 2000-2015.CONCLUSION The prevalence of self-reported DR in adults with DM declined significantly in North Carolina in the past 15 years. While racial differences in some years appeared to be decreasing, the black-white disparity in DR prevalence during the entire period persisted. Focused efforts on reducing the gap are needed.

Self-Reported Cognitive Impairment Across Racial/Ethnic Groups in the United States, National Health Interview Survey, 1997-2015.

INTRODUCTION: The primary objectives of this study were 1) to examine trends of self-reported cognitive impairment among 5 major racial/ethnic groups during 1997-2015 in the United States and 2) to examine differences in the trends across these groups. METHODS: Data were from the National Health Interview Survey (NHIS). The sample consisted of 155,682 people aged 60 or older. Respondents were asked to report whether any family member was "limited in any way because of difficulty remembering or because of experiencing periods of confusion." Race/ethnicity categories were non-Hispanic white, non-Hispanic black, Native American, Hispanic, and Asian. We applied hierarchical age-period-cohort cross-classified random-effects models for the trend analysis. All analyses accounted for the complex survey design of NHIS. RESULTS: The overall rate of self-reported cognitive impairment increased from 5.7% in 1997 to 6.7% in 2015 (P for trend <.001). Among non-Hispanic white respondents, the rate increased from 5.2% in 1997 to 6.1% in 2015 (slope = 0.14, P for trend <.001). We observed no significant trend in rate of cognitive impairment in other groups. After we controlled for covariates, we found that Asian (B = 0.31), non-Hispanic black (B = 0.37), Hispanic (B = 0.25), and Native American (B = 0.87) respondents were more likely than non-Hispanic white respondents to report cognitive impairment (P <.001 for all). CONCLUSION: We found an increased rate of self-reported cognitive impairment in older adults of 5 major racial/ethnic groups from 1997 through 2015 in the United States. However, the rate of self-reported cognitive impairment was low, which may suggest underreporting. There is a need to further promote awareness of the disease among individuals, family members, and health care providers.

Gestational Diabetes and Health Behaviors Among Women: National Health and Nutrition Examination Survey, 2007-2014.

INTRODUCTION: Women with gestational diabetes are at 7 times greater risk of developing type 2 diabetes than are women without gestational diabetes. The objectives of this study were to examine recent changes in the prevalence of gestational diabetes mellitus among women of reproductive age in the United States and assess the prevalence of factors associated with participating in healthy lifestyle behaviors. METHODS: Data were from 4 waves of the National Health and Nutrition Examination Survey (2007-2014). Gestational diabetes was identified by participants' response to whether they were ever told by a health care professional that they had diabetes during pregnancy. The health behaviors were participation in physical activity, healthy dietary patterns (intake of cholesterol, sodium, and fiber within recommended guidelines), and smoking. The analytical sample included 3,034 women aged 20 to 44 years. Multivariate logistic regression was used to assess the association between gestational diabetes and health behaviors. RESULTS: The overall prevalence of gestational diabetes was 8.9% (95% confidence interval [CI], 7.6%-10.4%) during 2007-2014. The prevalence increased from 8.4% in 2007-2008 to 10.4% in 2013-2014, an increase of 24%, but the change was not significant (P = .28). The proportions of women meeting recommended guidelines for the health behaviors did not change significantly. We found no significant difference in practicing healthy behaviors between women with gestational diabetes and women without gestational diabetes. CONCLUSION: The prevalence of gestational diabetes increased slightly in recent years, and women with the condition were generally not meeting guidelines for healthy behaviors. Coordinated interventions are needed to promote healthy lifestyle behaviors among women with gestational diabetes because they are at increased risk for diabetes.

Diabetes Preventive Care Practices in North Carolina, 2000-2015.

This analysis assessed trends in measures of diabetes preventive care overall and by race/ethnicity and socioeconomic status in the North Carolina Behavioral Risk Factor Surveillance System (2000-2015). We found increasing trends in 5 measures: diabetes self-management education (DSME), daily blood glucose self-monitoring, hemoglobin A1c tests, foot examinations, and flu shots. Non-Hispanic black and non-Hispanic white respondents showed increases in blood glucose self-monitoring, and a significant time-by-race interaction was observed for annual flu shots. Predisposing, enabling, and need factors were significantly associated with most measures. DSME was positively associated with 7 measures. Expanding access to health insurance and health care providers is key to improving diabetes management, with DSME being the gateway to optimal care.

Self-awareness of "Gum Disease" Among US Adults.

BACKGROUND: To assess the extent of self-awareness of gum disease among adults in the United States. METHODS: Data were from the 2009-2012 National Health and Nutrition Examination Survey. The outcome variable is self-awareness of gum disease. Multivariate logistic regression models were used to examine the relationship between self-awareness and clinically diagnosed periodontitis. The analytical sample included 6876 participants. RESULTS: Among those participants (30 years or older) who were classified as having periodontitis, 27% (95% confidence interval [CI], 24.4-29.8) were self-aware of the disease (positive predicted value = 25%). Of those who self-reported having gum disease, 14.1% had a diagnosis of periodontitis (sensitivity = 75%). Older adults were less likely to be aware of gum disease (P < .05). Non-Hispanic blacks (adjusted odds ratio [AOR] = 0.67; 95% CI, 0.53-0.85) were less likely to be aware of the disease than non-Hispanic whites. Adults with diabetes (AOR = 1.61; 95% CI, 1.25-2.06), or with lung disease (AOR = 1.61; 95% CI, 1.25-2.08), or current smokers (AOR = 1.72; 95% CI, 1.29-2.31) were more likely to be aware of the disease. CONCLUSION: The study showed that self-awareness of gum disease among adults was low. Our study findings suggest that there is a great need to improve oral health knowledge and awareness among the adult population in the United States.