Sitting Time and Its Interaction With Physical Activity in Relation to All-Cause and Heart Disease Mortality in U.S. Adults With Diabetes.

OBJECTIVE: To evaluate whether associations between sitting time and all-cause and heart disease mortality are modified by physical activity in adults with diabetes. RESEARCH DESIGN AND METHODS: Data came from 6,335 U.S. adults with diabetes from National Health and Nutrition Examination Survey 2007-2018 (baseline), with mortality follow-up through 2019. Sitting time and moderate to vigorous physical activity (MVPA) were self-reported. Cox models were adjusted for sociodemographics, lifestyle factors, and medical conditions. RESULTS: Over a median follow-up of 5.9 years, 1,278 all-cause and 354 heart disease deaths were documented (mean age, 59.6 years; 48.3% female). Longer sitting time was associated with greater all-cause and heart disease mortality risk in inactive (MVPA <10 min/week) or insufficiently active (MVPA 10 to <150 min/week) adults with diabetes, but not in active adults (MVPA ≥150 min/week) (all-cause mortality: P = 0.003 for interaction; heart disease mortality: P = 0.008 for interaction). CONCLUSIONS: In adults with diabetes, meeting guideline-recommended physical activity may offset the elevated all-cause and heart disease mortality risk associated with excessive sitting time.

Determinants of Diabetes Awareness Among Hispanic/Latino Adults in the U.S., 2005-2018.

OBJECTIVE: Despite improvements in screening, Hispanics/Latinos bear a disproportionate burden of undiagnosed diabetes in the U.S. Identifying who is at risk within this large and diverse population is important for targeting interventions. In this study, we sought to characterize risk factors for undiagnosed diabetes among Hispanics/Latinos. We also investigated determinants among insured adults to explore barriers for those with access to care. RESEARCH DESIGN AND METHODS: We used data from 1,883 Hispanic/Latino adults aged ≥20 years from the National Health and Nutrition Examination Surveys (2005-2018). Sequential multivariable logistic regression models were used to examine a range of social, health care, and individual-level determinants of undiagnosed diabetes (defined as having elevated fasting plasma glucose ≥126 mg/dL or HbA1c ≥6.5% (48 mmol/mol) in participants self-reporting as not having diabetes) in the overall sample and among those with health insurance (n = 1,401). RESULTS: Younger age (20-44 years), male sex, and having immigrated (compared with being U.S. born), but not socioeconomic factors, were significantly associated with a higher odds of undiagnosed diabetes compared with being diagnosed. These estimates were attenuated after adjusting for health care utilization variables. In fully adjusted models, having no health care visits in the past year, reporting no family history of diabetes, and having better self-reported health were the predominant risk factors for undiagnosed diabetes in the overall sample and among insured Hispanic/Latino adults. CONCLUSIONS: Our findings highlight the importance of reaching younger, male, and immigrant Hispanic/Latino adults and addressing barriers to health care utilization, even among insured adults, to improve diabetes awareness.

Longitudinal Associations of Food Security with Health and Dietary Factors among Food FARMacy Participants during COVID-19 in New York City.

In cross-sectional studies, food insecurity is associated with adverse health and dietary outcomes. Whether self-reported health and dietary outcomes change in response to improvements in food security has not been examined. We sought to examine how increases in food security are related to changes in health and dietary factors. In this longitudinal, observational study, we included adult participants in a clinical-community emergency food assistance program in New York City from July 2020 to November 2021. Program staff measured food security with a validated six-item measure at program enrollment and six-month re-enrollment. Participants self-reported health and dietary factors (vegetable, fruit, juice, and sugar-sweetened beverage (SSB) consumption frequency). We used multivariable regression to examine associations between change in food security with change in health and dietary factors over six months. Among 310 participants, the mean food security score improved by 1.7 ± 2.3 points over six months. In unadjusted models, each point improvement in food security was associated with increased vegetable (ß = 0.10 times; 95% CI: 0.05-0.15); fruit (ß = 0.08 times; 95% CI: 0.03-0.14); and juice (ß = 0.10 times; 95% CI: 0.05-0.15) consumption. In adjusted models, results remained significant for vegetable and fruit consumption, but not juice. Change in food security was not associated with change in health or SSB outcomes. In this cohort during COVID-19, improved food security was associated with improved vegetable and fruit consumption. Randomized trials that examine the effectiveness of clinical-community partnerships focused on improving food security and nutrition are warranted.

Racial and Ethnic Disparities in Glycemic Control Among Insured US Adults.

Importance: Poor access to care and lack of health insurance are important contributors to disparities in glycemic control. However expanding health insurance coverage may not be enough to fully address the high burden of poor glycemic control for some groups. Objective: To characterize racial and ethnic disparities in glycemic control among adults with private and public insurance in the US over a 15-year timeframe and to evaluate whether social, health care, and behavioral or health status factors attenuate estimates of disparities. Design, Setting, and Participants: This cross-sectional study used data from the National Health and Nutrition Examination Survey from 2003 to 2018. Participants included Hispanic or Latino, non-Hispanic Black, and non-Hispanic White adults aged 25 to 80 years with self-reported diabetes and health insurance. Data were analyzed from January 15 to August 23, 2023. Exposure: Participants self-identified as Hispanic or Latino, non-Hispanic Black, or non-Hispanic White. Main Outcomes and Measures: The main outcome, poor glycemic control, was defined as glycated hemoglobin A1c (HbA1c) of 7.0% or greater. Information about social (education, food security, and nativity), health care (insurance type, routine place for health care, insurance gap in past year, and use of diabetes medications), and behavioral or health status (years with diabetes, waist circumference, and smoking) factors were collected via questionnaires. Results: A total of 4070 individuals (weighted mean [SE] age, 61.4 [0.27] years; 1970 [weighted proportion, 49.3%] were women) were included, representing 16 337 362 US adults, including 1146 Hispanic or Latino individuals (weighted proportion, 13.2%), 1196 non-Hispanic Black individuals (weighted proportion, 15.7%), and 1728 non-Hispanic White individuals (weighted proportion, 71.1%). In models adjusted for age, sex, and survey year, Hispanic or Latino and non-Hispanic Black individuals had significantly higher odds of poor glycemic control than non-Hispanic White individuals (Hispanic or Latino: odds ratio [OR], 1.46; 95% CI, 1.16-1.83; Black: OR, 1.28; 95% CI, 1.04-1.57). There was some attenuation after adjustment for social factors, especially food security (Hispanic or Latino: OR, 1.39; 95% CI, 1.08-1.81); Black: OR, 1.39; 95% CI, 1.08-1.81). However, accounting for health care and behavioral or health status factors increased disparities, especially for Hispanic or Latino individuals (OR, 1.63; 95% CI, 1.24-2.16), with racial and ethnic disparities persisting even among those with private insurance (OR, 1.66; 95% CI, 1.10-2.52). Conclusions and Relevance: In this cross-sectional study of insured adults with diabetes in the US, disparities in poor glycemic control persisted despite adjustment for social, health care, and behavioral factors. Research is needed to identify the barriers contributing to poor control even in populations with access to care.

Household Food Security and Consumption of Sugar-Sweetened Beverages among New York City (NYC) Children: A Cross-Sectional Analysis of 2017 NYC Kids' Data.

Food insecurity is a stressor associated with adverse health outcomes, including the consumption of sugar-sweetened beverages (SSBs). Our study tests the hypothesis that other socioeconomic vulnerabilities may magnify this effect using cross-sectional data from the 2017 New York City (NYC) Kids Survey. Households providing an affirmative response to one or both food security screener questions developed by the US Department of Agriculture were coded as households with low food security. The number of sodas plus other SSBs consumed was standardized per day and categorized as 1 = none, 2 = less than one, and 3 = one or more. We tested the joint effect of low food security with chronic hardship, receipt of federal aid, and immigrant head of household on a sample of n = 2362 kids attending kindergarten and beyond using ordinal logistic regression and accounting for the complex survey design. Only having a US-born parent substantially magnified the effect of low household food security on SSB consumption (OR = 4.2, 95%CI: 2.9-6.3, p < 0.001) compared to the reference group of high household food security with an immigrant parent. The effect of low food security on SSB consumption among NYC children warrants intersectional approaches, especially to elucidate US-based SSB norms in low-food-security settings.

The Creation of a Multidomain Neighborhood Environmental Vulnerability Index Across New York City.

Compared to previous studies commonly using a single summary score, we aimed to construct a multidomain neighborhood environmental vulnerability index (NEVI) to characterize the magnitude and variability of area-level factors with the potential to modify the association between environmental pollutants and health effects. Using the Toxicological Prioritization Index framework and data from the 2015-2019 U.S. Census American Community Survey and the 2020 CDC PLACES Project, we quantified census tract-level vulnerability overall and in 4 primary domains (demographic, economic, residential, and health status), 24 subdomains, and 54 distinct area-level features for New York City (NYC). Overall and domain-specific indices were calculated by summing standardized feature values within the subdomains and then aggregating and weighting based on the number of features within each subdomain within equally-weighted primary domains. In citywide comparisons, NEVI was correlated with multiple existing indices, including the Neighborhood Deprivation Index (r = 0.91) and Social Vulnerability Index (r = 0.87) but provided additional information on features contributing to vulnerability. Vulnerability varied spatially across NYC, and hierarchical cluster analysis using subdomain scores revealed six patterns of vulnerability across domains: 1) low in all, 2) primarily low except residential, 3) medium in all, 4) high demographic, economic, and residential 5) high economic, residential, and health status, and 6) high demographic, economic and health status. Created using methods that offer flexibility for theory-based construction, NEVI provided detailed vulnerability metrics across domains that can inform targeted research and public health interventions aimed at reducing the health impacts from environmental exposures across urban centers.

What Were the Information Voids? A Qualitative Analysis of Questions Asked by Dear Pandemic Readers between August 2020-August 2021.

In the current infodemic, how individuals receive information (channel), who it is coming from (source), and how it is framed can have an important effect on COVID-19 related mitigation behaviors. In light of these challenges presented by the infodemic, Dear Pandemic (DP) was created to directly address persistent questions related to COVID-19 and other health topics in the online environment. This is a qualitative analysis of 3806 questions that were submitted by DP readers to a question box on the Dear Pandemic website between August 30, 2020 and August 29, 2021. Analyses resulted in four themes: the need for clarification of other sources; lack of trust in information; recognition of possible misinformation; and questions on personal decision-making. Each theme reflects an unmet informational need of Dear Pandemic readers, which may be reflective of the broader informational gaps in our science communication efforts.This study highlights the role of an ad hoc risk communication platform in the current environment and uses questions submitted to the Dear Pandemic question box to identify informational needs of DP readers over the course of the COVID-19 pandemic. These findings may help clarify how organizations addressing health misinformation in the digital space can contribute to timely, responsive science communication and improve future communication efforts.

Residence in Hispanic/Latino Immigrant Neighborhoods, Away-From-Home Food Consumption, and Diet Quality: The Hispanic Community Health Study/Study of Latinos.

BACKGROUND: Hispanics/Latinos are disproportionately burdened by nutrition-related diseases but immigrants appear healthier than their US-born counterparts. Neighborhoods characterized by high Hispanic/Latino immigrant segregation may provide environments to support healthier diets. OBJECTIVE: To examine whether or not Hispanic/Latino immigrant segregation is associated with frequency of away-from-home food consumption and diet quality in a large, diverse sample of Hispanic/Latino adults. DESIGN: Cross-sectional baseline data from the Hispanic Community Health Study/Study of Latinos were analyzed (2008-2011). Residential addresses were geocoded and linked to census tract-level 2008-2012 American Community Survey data. Hispanic/Latino immigrant segregation was characterized using the local Getis-Ord Gi∗ statistic, a spatial clustering measure that quantifies the extent to which demographically similar neighborhoods group together. PARTICIPANTS/SETTING: Participants were 15,661 adults in the Hispanic Community Health Study/Study of Latinos, a population-based study of Hispanic/Latinos aged 18 to 74 years from 4 US regions (Bronx, NY; Chicago, IL; Miami, FL; and San Diego, CA). MAIN OUTCOME MEASURES: Away-from-home food consumption was assessed using a modified dietary behavior questionnaire. Diet quality was assessed using the Alternate Healthy Eating Index 2010 (range = 0 to 110) from two 24-hour recalls. STATISTICAL ANALYSIS: Multilevel linear and logistic regression with multilevel weights were used to estimate associations between Hispanic/Latino immigrant segregation (low, medium, or high) with Alternate Healthy Eating Index 2010 score, and away-from-home food consumption (≥3 vs <3 times/week) in separate models, respectively. The mediating role of neighborhood poverty and whether or not associations differed by nativity were also assessed. RESULTS: Higher levels of segregation were associated with higher adjusted mean Alternate Healthy Eating Index 2010 scores; estimates were further magnified after accounting for neighborhood poverty (low segregation: reference category; medium segregation: ß = 2.43, 95% CI 1.10 to 3.77; and high segregation: ß = 1.63, 95% CI .43 to 2.82). Associations were strongest among the foreign-born compared with the US-born. There was no association between segregation and away-from-home food consumption. CONCLUSIONS: These results highlight the potential role of Hispanic/Latino immigrant neighborhoods in supporting healthy diets among residents, especially immigrants.

Dear Pandemic: A topic modeling analysis of COVID-19 information needs among readers of an online science communication campaign.

BACKGROUND: The COVID-19 pandemic was accompanied by an "infodemic"-an overwhelming excess of accurate, inaccurate, and uncertain information. The social media-based science communication campaign Dear Pandemic was established to address the COVID-19 infodemic, in part by soliciting submissions from readers to an online question box. Our study characterized the information needs of Dear Pandemic's readers by identifying themes and longitudinal trends among question box submissions. METHODS: We conducted a retrospective analysis of questions submitted from August 24, 2020, to August 24, 2021. We used Latent Dirichlet Allocation topic modeling to identify 25 topics among the submissions, then used thematic analysis to interpret the topics based on their top words and submissions. We used t-Distributed Stochastic Neighbor Embedding to visualize the relationship between topics, and we used generalized additive models to describe trends in topic prevalence over time. RESULTS: We analyzed 3839 submissions, 90% from United States-based readers. We classified the 25 topics into 6 overarching themes: 'Scientific and Medical Basis of COVID-19,' 'COVID-19 Vaccine,' 'COVID-19 Mitigation Strategies,' 'Society and Institutions,' 'Family and Personal Relationships,' and 'Navigating the COVID-19 Infodemic.' Trends in topics about viral variants, vaccination, COVID-19 mitigation strategies, and children aligned with the news cycle and reflected the anticipation of future events. Over time, vaccine-related submissions became increasingly related to those surrounding social interaction. CONCLUSIONS: Question box submissions represented distinct themes that varied in prominence over time. Dear Pandemic's readers sought information that would not only clarify novel scientific concepts, but would also be timely and practical to their personal lives. Our question box format and topic modeling approach offers science communicators a robust methodology for tracking, understanding, and responding to the information needs of online audiences.

Neighborhood environmental vulnerability and pediatric asthma morbidity in US metropolitan areas.

BACKGROUND: Research suggests demographic, economic, residential, and health-related factors influence vulnerability to environmental exposures. Greater environmental vulnerability may exacerbate environmentally related health outcomes. We developed a neighborhood environmental vulnerability index (NEVI) to operationalize environmental vulnerability on a neighborhood level. OBJECTIVE: We explored the relationship between NEVI and pediatric asthma emergency department (ED) visits (2014-19) in 3 US metropolitan areas: Los Angeles County, Calif; Fulton County, Ga; and New York City, NY. METHODS: We performed separate linear regression analyses examining the association between overall NEVI score and domain-specific NEVI scores (demographic, economic, residential, health status) with pediatric asthma ED visits (per 10,000) across each area. RESULTS: Linear regression analyses suggest that higher overall and domain-specific NEVI scores were associated with higher annual pediatric asthma ED visits. Adjusted R2 values suggest that overall NEVI scores explained at least 40% of the variance in pediatric asthma ED visits. Overall NEVI scores explained more of the variance in pediatric asthma ED visits in Fulton County. NEVI scores for the demographic, economic, and health status domains explained more of the variance in pediatric asthma ED visits in each area compared to the NEVI score for the residential domain. CONCLUSION: Greater neighborhood environmental vulnerability was associated with greater pediatric asthma ED visits in each area. The relationship differed in effect size and variance explained across the areas. Future studies can use NEVI to identify populations in need of greater resources to mitigate the severity of environmentally related outcomes, such as pediatric asthma.

A Posteriori dietary patterns, insulin resistance, and diabetes risk by Hispanic/Latino heritage in the HCHS/SOL cohort.

OBJECTIVE: We examined links among dietary patterns (DPs), insulin resistance (IR), and diabetes risk by heritage in the Hispanic Community Health Study/Study of Latinos. METHODS: Hispanics/Latinos of Cuban, Dominican, Mexican, Puerto Rican, Central American, and South American heritage aged 18-74 years and diabetes-free completed two 24 h dietary recalls at baseline (2008-2011) and provided 6-year follow-up data (2014-2017; n = 7774). We classified 6-year IR status [improved, unchanged (referent), worsened] using a 1-SD change in fasting insulin between visits and defined incident diabetes based on American Diabetes Association criteria. We derived heritage-specific DPs via principal factor analysis and estimated their associations with 6-year IR status (multinomial) and incident diabetes (binary) using complex survey-based logistic regression. RESULTS: Five overarching DPs based on high-loading foods were shared by two or more heritage groups: "Burger, Fries, & Soft Drinks"; "White Rice, Beans, & Red Meats"; "Fish & Whole Grains"; "Cheese & Sweets"; and "Stew & Corn". Comparing highest-to-lowest DP quintiles, the Dominican "Burger, Fries, & Soft Drinks" and Cuban "White Rice, Beans, & Red Meats" DPs were associated with worsened 6-year IR status (log-odds: 2.35, 95% CI: 1.02, 3.68, Ptrend = 0.037 and log-odds: 1.27, 95% CI: 0.49, 2.06, Ptrend = 0.009, respectively). The Puerto Rican "Burger, Fries, & Soft Drinks" and the Central American "White Rice, Beans, & Red Meats" DPs were associated with greater diabetes incidence (OR: 3.00, 95% CI:1.50, 5.99 and OR: 2.41, 95% CI: 1.05, 5.50, respectively). CONCLUSIONS: A diet characterized by higher intakes of burgers, fries, and soft drinks and another characterized by higher intakes of white rice, beans, and red meats may be adversely associated with IR and diabetes risk in some Hispanic/Latino heritage groups. Future work is needed to offer more heritage-specific dietary guidance for diabetes prevention in this population.

Food insecurity, diabetes, and perceived diabetes self-management among Latinos in California: Differences by nativity and duration of residence.

We examined associations between food security (FS) status and type 2 diabetes (T2D) prevalence and perceived T2D self-management by nativity and US duration of residence among Latinos living in California. We used the California Health Interview Survey (2012-2017) and included Latinos who lived below 200% of the federal poverty line (n = 16,254) and for our management outcome, those with T2D (n = 2284). Latinos with low FS (OR = 1.44, 95% CI 1.14-1.83) or very low FS (OR = 1.87, 95% CI 1.33-2.61) had a higher odds of T2D compared to their food-secure counterparts. When stratified by nativity/duration in the US, US-born Latinos and Latino immigrants with >10 years duration had a higher odds of T2D if they reported low FS (US-born: OR = 1.60, 95% CI 1.02-2.52; >10 yrs: OR = 1.48, 95% CI 1.12-1.97) or very low FS (US-born: OR = 2.37, 95% CI 1.45-3.86; >10 yrs: OR = 1.78, 95% CI 1.15-2.76) compared to their food-secure counterparts. There was no association among immigrants with <10 years duration. For perceived T2D self-management, those with low or very low FS had lower odds of reporting proper management (OR = 0.56, 95% CI 0.36-0.86; OR = 0.46, 95% CI 0.26-0.83) compared to their food-secure counterparts. When stratified by nativity, the US-born did not differ in their perceived self-management by FS status, while immigrants with low or very FS had lower odds of perceived self-management (OR = 0.54, 95% CI 0.34-0.86; OR = 0.36, 95% CI 0.17-0.74), compared to their food-secure counterparts. Food insecurity may be an important contributor to T2D prevalence and perceived T2D self-management for Latino immigrants.

Food Insecurity and Cardiometabolic Markers: Results From the Study of Latino Youth.

OBJECTIVES: Hispanic/Latino youth bear a disproportionate burden of food insecurity and poor metabolic outcomes, but research linking the two in this diverse population is lacking. We evaluated whether lower household and child food security (FS) were adversely associated with a metabolic syndrome (MetS) composite variable and clinically measured cardiometabolic markers: waist circumference, fasting plasma glucose, triglycerides, high-density lipoprotein cholesterol, and systolic and diastolic blood pressure. METHODS: This cross-sectional study included 1325 Hispanic/Latino youth aged 8 to 16 years from the Hispanic Community Children's Health Study/Study of Latino Youth, a study of offspring of adults enrolled in the Hispanic Community Health Survey/Study of Latinos. Multivariable regression analyses were used to assess relationships between household FS (high, marginal, low, very low) and child FS (high, marginal, low/very low) status, separately, and our dependent variables, adjusting for participant age, sex, site, parental education, and poverty-income ratio. RESULTS: For both FS measures, youth in the lowest FS category had significantly lower high-density lipoprotein cholesterol than those with high FS (household FS: -3.17, 95% confidence interval [CI]: -5.65 to -0.70, child FS: -1.81, 95% CI: -3.54 to -0.09). Low/very low versus high child FS was associated with greater fasting plasma glucose (ß = 1.37, 95% CI: 0.08 to 2.65), triglycerides (ß = 8.68, 95% CI: 1.75 to 15.61), and MetS expected log counts (ß = 2.12, 95% CI: 0.02 to 0.45). CONCLUSIONS: Lower FS is associated with unfavorable MetS-relevant cardiometabolic markers in Hispanic/Latino youth. These findings also support the use of a child-level versus a household-level measure to capture the health implications of food insecurity in this population.

Lessons Learned From Dear Pandemic, a Social Media-Based Science Communication Project Targeting the COVID-19 Infodemic.

The World Health Organization has identified excessive COVID-19 pandemic-related information as a public health crisis, calling it an "infodemic." Social media allows misinformation to spread quickly and outcompete scientifically grounded information delivered via other methods. Dear Pandemic is an innovative, multidisciplinary, social media-based science communication project whose mission is to educate and empower individuals to successfully navigate the overwhelming amount of information circulating during the pandemic. This mission has 2 primary objectives: (1) to disseminate trustworthy, comprehensive, and timely scientific content about the pandemic to lay audiences via social media and (2) to promote media literacy and information-hygiene practices, equipping readers to better manage the COVID-19 infodemic within their own networks. The volunteer team of scientists publishes 8-16 posts per week on pandemic-relevant topics. Nearly 2 years after it launched in March 2020, the project has a combined monthly reach of more than 4 million unique views across 4 social media channels, an email newsletter, and a website. We describe the project's guiding principles, lessons learned, challenges, and opportunities. Dear Pandemic has emerged as an example of a promising new paradigm for public health communication and intervention. The contributors deliver content in ways that are personal, practical, actionable, responsive, and native to social media platforms. The project's guiding principles are a model for public health communication targeting future infodemics and can bridge the chasm between the scientific community and the practical daily decision-making needs of the general public.

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.

The role of stress responses on engagement in dietary and physical activity behaviors among Latino adults living with prediabetes.

OBJECTIVES: Latinos are at a high risk of developing type 2 diabetes (T2D). Prediabetes is a major risk factor for T2D; however, progression to T2D can be slowed with engagement in healthy behaviors. Stress can hinder engagement with health behaviors. Qualitative methods were used to understand how Latinos with prediabetes attempted to modify their diet and physical activity behaviors to slow T2D progression and how stress affected their engagement in these behaviors. DESIGN: Semi-structured interviews were conducted with 20 Latinos with prediabetes in North Carolina. Participants were asked questions about types of stress they experienced and how stress affected their health. We generated codes on stress and stress responses and used content analysis to organize codes between and within participants. RESULTS: Behaviors changed after prediabetes diagnosis. Few participants reported changing their physical activity, however, all participants attempted to change their eating patterns by changing food types consumed and reducing portion sizes. The stress participants experienced impacted their ability to self-regulate their diet. They reported overeating or appetite suppression during stressful periods. Stress also affected cognitive responses by compromising healthy decision-making and instigating negative emotional reactions. Overall, stress complicated participants' ability to properly engage in recommended behaviors by negatively impacting participants' behavioral self-regulation and cognitive processes. CONCLUSIONS: Stress affects behavioral and cognitive progresses that adversely alters primarily dietary behaviors. Tailored plans acknowledging the impact of stress and providing coping and supportive help for dealing with stress may enhance engagement in healthy behaviors for Latinos with prediabetes.

Assessing the Health and Economic Impact of a Potential Menthol Cigarette Ban in New York City: a Modeling Study.

Menthol in cigarettes increases nicotine dependence and decreases the chances of successful smoking cessation. In New York City (NYC), nearly half of current smokers usually smoke menthol cigarettes. Female and non-Latino Black individuals were more likely to smoke menthol-flavored cigarettes compared to males and other races and ethnicities. Although the US Food and Drug Administration recently announced that it will ban menthol cigarettes, it is unclear how the policy would affect population health and health disparities in NYC. To inform potential policymaking, we used a microsimulation model of cardiovascular disease (CVD) to project the long-term health and economic impact of a potential menthol ban in NYC. Our model projected that there could be 57,232 (95% CI: 51,967-62,497) myocardial infarction (MI) cases and 52,195 (95% CI: 47,446-56,945) stroke cases per 1 million adult smokers in NYC over a 20-year period without the menthol ban policy. With the menthol ban policy, 2,862 MI cases and 1,983 stroke cases per 1 million adults could be averted over a 20-year period. The model also projected that an average of $1,836 in healthcare costs per person, or $1.62 billion among all adult smokers, could be saved over a 20-year period due to the implementation of a menthol ban policy. Results from subgroup analyses showed that women, particularly Black women, would have more reductions in adverse CVD outcomes from the potential implementation of the menthol ban policy compared to males and other racial and ethnic subgroups, which implies that the policy could reduce sex and racial and ethnic CVD disparities. Findings from our study provide policymakers with evidence to support policies that limit access to menthol cigarettes and potentially address racial and ethnic disparities in smoking-related disease burden.

All of That Causes Me Stress: An Exploration of the Sources of Stress Experienced by Latinxs Living with Prediabetes.

Latinxs immigrants in the United States experience sources of stress (i.e., stressors) that can limit their ability to engage in healthy behaviors. Stress has been linked to increased type 2 diabetes (T2D) risk in Latinxs living with prediabetes, a group disproportionately affected by T2D. The purpose of this qualitative study is to describe and contextualize the variety of stressors experienced by Latinxs immigrants diagnosed with prediabetes. Semi-structured, in-depth interviews were conducted from March to September 2018 with 20 Latinx immigrants living with prediabetes in North Carolina. We used qualitative content analysis including systematic coding and comparative matrices. The most prominent stressors were those related to health status and healthcare access, finances, interpersonal relationships with family, and loneliness. Participants also identified stressors related to documentation status and discrimination. The stressors Latinx immigrants with prediabetes experience vary, therefore studies and interventions need to specify which sources of stress they are addressing. Multilevel interventions that ameliorate the effects of stressors may facilitate preventive health behaviors among Latinxs with prediabetes.

Los inmigrantes latinxs radicados en los Estados Unidos experimentan fuentes estresantes (es decir., estresores) que pueden limitar su capacidad para participar en comportamientos saludables. El estrés es un mayor riesgo para el desarrollo de la diabetes tipo 2 (diabetes), particularmente para los latinxs que viven con prediabetes, un grupo desproporcionadamente afectados por la diabetes. El propósito de este estudio cualitativo es contextualizar la variedad de estresores que latinos diagnosticados con prediabetes experimentan. Entre marzo y septiembre del 2018 se llevaron a cabo entrevistas semiestructuradas en profundidad con 20 inmigrantes latinxs que viven con prediabetes en Carolina del Norte. Utilizamos análisis de contenido cualitativo que incluye codificación sistemática y matrices comparativas para crear temas analíticos. Los principales estresores fueron los relacionados con el estado de salud y el acceso limitado a la atención médica, las finanzas, las relaciones interpersonales con la familia y la soledad. Los participantes también expresaron dificultades para navegar en su entorno debido al estado de la documentación y la discriminación. Las intervenciones multinivel que mejoran los efectos de estresores pueden facilitar comportamientos preventivos de salud entre los latinxs con prediabetes.