Environment driven changes in type 2 diabetes, overweight and obesity in an isolated Mixe community in the Valley of Oaxaca, southern Mexico.

BACKGROUND: This study focused on type 2 diabetes mellitus (T2DM) in a group of adult Mixe, an Indigenous population from Oaxaca, Mexico. Mixe comprised an estimated 9.4% (n ≅ 90 000) of the Indigenous population in Oaxaca. Mexico. OBJECTIVE: This study focused on a group of adult Mixe, an Indigenous population from Oaxaca, Mexico. To compare the prevalence of T2DM, overweight (OW), obesity (OB), and hypertension (HTN) between 2007 and 2017 for a small, isolated Mixe community in the Valley of Oaxaca, Mexico. We test whether or not environmental changes have affected T2DM prevalence. METHODS AND MATERIALS: Demographic and medical record data were collected in the community in 2007 and 2017 from the medical clinic and the mayor's office. T2DM was medically diagnosed among adults (>34 years old), in 2007 (n = 730) and in 2017 (n = 829). RESULTS: T2DM crude prevalence increased from 6.7% to 12.1% (p < .001) from 2007 to 2017. The mean age of the sample analyzed was 60.6 (SD = 9.7). Age-adjusted T2DM prevalence increased from 6.7% to 10.8% (p < .002). T2DM was 5.7%-5.5% among males (p < .53) and 7.1%-13.6% among females (p < .001). Sex-specific OW and OB simulation studies indicate females had 7% less OW in 2007, and males were unchanged compared with 2017. OB among males and females was significantly higher in 2017 compared with 2007 (increased by 15.2% and 8.3%, males and females, respectively). Sexes combined OW + OB increased 12.7% among males but was unchanged in females (-0.5%). In the sexes combined analysis, OW prevalence increased 12.7% to 27.1% (p < .001) and OB prevalence increased 10.7%-27.9% (p < .001) from 2007 to 2017. HTN did not change significantly from 2007 to 2017 (15.4% and 14.6%, respectively) (p = .63) in adults. Among T2DM individuals, the frequency of HTN was not significantly different in 2007 and 2017 (57.1% and 37%, respectively) (p = .65). Transition to a Western diet consisting of high-carbohydrate foods occurred at the same time as increased T2DM from 2007 to 2017, with a higher prevalence of T2DM noted among females in 2017. CONCLUSIONS: An increased prevalence of T2DM, OW, and OB but not HTN was observed in the Mixe community from 2007 to 2017 and was associated with the adoption of a high-carbohydrate Western diet.

Cadmium exposure is associated with chronic kidney disease in a superfund site lead smelter community in Dallas, Texas.

Background: The study was conducted in a Dallas lead smelter community following an Environmental Protection Agency (EPA) Superfund Cleanup project. Lead smelters operated in the Dallas community since the mid-1930s.Aim: To test the hypothesis that cadmium (Cd) exposure is associated with chronic kidney disease (CKD) ≥ stage 3.Subjects and methods: Subjects were African American residents aged ≥19 to ≤ 89 years (n=835). CKD ≥ stage 3 was predicted by blood Cd concentration with covariates.Results: In logistic regression analysis, CKD ≥ stage 3 was predicted by age ≥ 50 years (OR = 4.41, p < 0.0001), Cd level (OR = 1.89, p < .05), hypertension (OR = 3.15, p < 0.03), decades living in the community (OR = 1.34, p < 0.003) and T2DM (OR = 2.51, p < 0.01). Meta-analysis of 11 studies of Cd and CKD ≥ stage 3 yielded an ORRANDOM of 1.40 (p < 0.0001). Chronic environmental Cd exposure is associated with CKD ≥ stage 3 in a Dallas lead smelter community controlling covariates.Conclusion: Public health implications include screening for heavy metals including Cd, cleanup efforts to remove Cd from the environment and treating CKD with newer renal-sparing medications (e.g., SGLT-2 inhibitors, GLP-1s).

Short-term fetal nutritional stress and long-term health: Child height.

OBJECTIVE: This study examined the impact of in utero exposure to Ramadan, the Islamic fasting month, by trimester on height at ages 0 to 18 for a sample of children from Tehran, Iran. If exposure to Ramadan is associated with significant nutritional stress to the fetus, the fetus's adaptive responses to nutritional insufficiency could manifest as changes in height during childhood, long before any effects on aging or disease risk at older ages. METHODS: Children who were exposed and not exposed to Ramadan in utero were compared to identify any systematic difference between their parents' and households' characteristics (including height, age, education, and indicators of wealth). Also, the seasonal pattern of food consumption in Tehran was analyzed. Finally, the association of child height with prenatal exposure to Ramadan was measured, controlling for seasonality and parent and household. RESULTS: Ramadan associated fasting in the second trimester of gestation was associated with 0.091 age-adjusted SDs (ie, 0.60-0.67 cm) decrease in children's height at age 10 years or older. The negative association was largest in male children and was approximately 1 cm at age 12 years or older among male children. CONCLUSION: Maternal Ramadan fasting in the second trimester, the critical period for long bone development, was associated with decreased height. Exposure to ritual fasting is important because approximately 75% of all Muslim children are exposed to Ramadan in utero.

Statins are associated with new onset type 2 diabetes mellitus (T2DM) in Medicare patients ≥65 years.

BACKGROUND: To evaluate the association of statins and co-morbidities with new onset type 2 diabetes mellitus (T2DM) in patients 65 years and older. METHODS: This retrospective study used de-identified administrative healthcare claims and enrolment data from a Medicare Advantage Prescription Drug (MAPD) health plan offered by a large multistate healthcare company. The plan covered >2.4 million individuals, of whom >1.7 million individuals were ≥65 years. Of these, 265 554 individuals had continuous MAPD enrolment January 2008 to December 2015. The unadjusted model assessed demographic, pharmacy and T2DM co-morbidities as covariates. Significant variables (P < .05) in the unadjusted model were then included in the adjusted model. The adjusted model used Cox proportional hazards to evaluate covariate effects. Matched propensity score analysis was used to analyse the association of statins and T2DM onset. RESULTS: The cumulative rate of diagnosed T2DM onset in the study cohort was 4.82% (4314/89 390). Annualised incidence of T2DM diagnosis was 0.82%, 0.88%, 1.04% and 2.09% in 2012, 2013, 2014 and 2015, respectively. T2DM onset was associated with male sex, non-white (African American or Hispanic ethnicity), statin use, hypertension, hyperlipidaemia, heart failure, lower limb ulceration, atherosclerosis, other retinopathy, angina pectoris, poor vision and blindness and absence ischaemic heart disease (IHD). Matched propensity score analysis showed that statin use was significantly associated with T2DM onset (Odds Ratio = 1.26, 95% Confidence Interval: 1.12-1.41, P < .0001) in the adjusted model. CONCLUSIONS: Analyses indicated that statin usage was associated with new onset T2DM after adjusting for covariates.

Hepatitis A Outbreaks Associated With the Opioid Epidemic in Kentucky Counties, 2017-2018.

Objectives. To describe county-level socioeconomic profiles associated with Kentucky's 2017-2018 hepatitis A outbreak that predominately affected communities affected by the opioid epidemic.Methods. We linked county-level characteristics on socioeconomic and housing variables to counties' hepatitis A rates. Principal component analysis identified county profiles of poverty, education, disability, income inequality, grandparent responsibility, residential instability, and marital status. We used Poisson regression to estimate adjusted relative risks (RRs) and 95% confidence intervals (CIs).Results. Counties with scores reflecting an extremely disadvantaged profile (RR = 1.21; 95% CI = 0.99, 1.48) and greater percentage of nonmarried men, residential instability, and income inequality (RR = 1.15; 95% CI = 0.94, 1.41) had higher hepatitis A rates. Counties with scores reflecting more married adults, residential stability, and lower income inequality despite disability, poverty, and low education (RR = 0.77; 95% CI = 0.59, 1.00) had lower hepatitis A rates. Counties with a higher percentage of workers in the manufacturing industry had slightly lower rates (RR = 0.97; 95% CI = 0.94, 1.00).Conclusions. As expected, impoverished counties had higher hepatitis A rates. Evaluation across the socioeconomic patterns highlighted community-level factors (e.g., residential instability, income inequality, and social structures) that can be collected to augment hepatitis A data surveillance and used to identify higher-risk communities for targeted immunizations.

Thinness, overweight, and obesity in indigenous school children and youth in Mexico.

Background: The prevalence of overweight (OWT) and obesity (OB), defined by the body mass index (BMI, kg/m2) among children and youth has increased worldwide in the last 30-40 years.Aim: To evaluate the weight status, defined by the BMI, of indigenous school children and youth resident in different regions of MexicoSubjects and methods: Students 6-18 years (31,448 boys, 27,306 girls) were enrolled in bilingual schools for indigenous children and youth in Mexico in 2012. Height and weight were measured; the BMI was calculated. The BMI of each student was classified relative to International Obesity Task Force (IOTF) age- and sex-specific criteria as thin (three grades), normal, overweight (OWT) or obese (OB). The sample was divided into five geographic regions for analysis: North, Central, South-Gulf, South-Pacific, and South-Southeast. Age- and sex-specific prevalence, 95% confidence intervals, and Chi-square tests were calculated.Results: Prevalence of OWT + OB was highest in the South-Gulf, South-Pacific and South-Southeast regions and lowest in the North and Central regions, while thinness was most prevalent in the North and Central regions.Conclusion: Prevalence of severe and moderate thinness was relatively low, while the combined prevalence of OWT + OB was generally more prevalent in indigenous boys than girls. However, the prevalence of thinness, OWT + OB among indigenous children and youth was lower than in the general population of children and youth in Mexico.

Blood lead levels, pulmonary function and agility in Polish schoolchildren.

BACKGROUND: Reduced vital capacity (VC) and forced vital capacity (FVC) are associated with lead (Pb) exposure. AIM: The objective of this study is to analyse the effects of Pb on FVC and the shuttle run performance. SUBJECTS AND METHODS: Data were available for 184 male and 189 female Polish schoolchildren aged 10-15 years. Regression analysis was performed of shuttle run performance (dependent) on Pb and FVC. RESULTS: Shuttle run time increased by 1.75 (± 0.77) and 1.97 (± 0.77) seconds for each 10 µg/dL increase in Pb blood among males and females, respectively. Higher shuttle run times indicate poorer performance. Average unadjusted blood Pb level in the sample was 5.27 µg/dL (± 0.19 SE) and 3.82 µg/dL (± 0.10 SE), respectively. Path analysis was used to assess the association of Pb level with shuttle run time. Blood Pb had a significant negative effect on VC (B= -13.60 ± 3.28 [SE], p < 0.0001) and FVC (B = -13.08 ± 3.27, p < 0.0001). FVC had a small but significant effect on shuttle run time (B = -0.04 ± 0.007, p < 0.0001). Pb had a significant effect on the residual of shuttle run time among males (B = 1.59 ± 0.75, p < 0.03) and females after the effect of FVC was removed (B = 1.49 ± 0.73, p < 0.04). CONCLUSIONS: Thus, Pb had direct and indirect effects that increased shuttle run time, i.e. negatively affected performance.

The variation in preventable hospitalization in patients with type 2 diabetes in Kentucky before and after the Medicaid expansion.

BACKGROUND: Hospitalizations are more resource intensive and expensive than outpatient care. Therefore, type 2 diabetes-related preventable hospitalization are a major topic of research efficiency in the healthcare system. OBJECTIVES: Analyze county level variation in type 2 diabetes-related preventable hospitalization rates in Kentucky before the Medicaid expansion (2010-2013) and after the Medicaid expansion (2014-2017). DESIGN: Geographic mapping and cluster analysis. SETTING: Data for a state of the United States of America. METHODS: We used the KID data to generate geographic mapping for type 2 diabetes-related preventable hospitalizations to visualize rates. We included all Kentucky discharges of age 18 years and older with the ICD9/10 principal diagnosis code for type 2 diabetes. Then, we conducted cluster analysis techniques to compare county-level variation in type 2 diabetes-related preventable hospitalization rates across Kentucky counties pre- and post-Medicaid expansion. MAIN OUTCOME AND MEASURES: County type 2 diabetes-related preventable hospitalization pre- and post-Medicaid expansion. RESULTS: From 2010-2017, type 2 diabetes-related preventable hospitalization discharge rates reduced significantly in the period of the post-Medicaid expansion (P=.001). The spatial statistics analysis revealed a significant spatial clustering of counties with similar rates of type 2 diabetes-related preventable hospitalization in the south, east, and southeastern Kentucky pre- and post-Medicaid expansion (positive z-score and positive Moran's Index value (P>.05). Also, there was a significant clustering of counties with low type 2 diabetes-related preventable hospitalization rates in the north, west, and central regions of the state pre-Medicaid expansion and post-Medicaid expansion (positive z-score and positive Moran's Index value (P>.05). CONCLUSION: Kentucky counties in the southeast have experienced a significant clustering of highly avoidable hospitalization rates during both periods. Focusing on the vulnerable counties and the economic inequality in Kentucky could lead to efforts to lowering future type 2 diabetes-related preventable hospitalization rates. LIMITATIONS: We used de-identified data which does not provide insights into the frequency of hospitalizations per patient. An individual patient may be hospitalized several times and counted as several individuals.

COVID-19 vaccine uptake inequality among older adults: A multidimensional demographic analysis.

BACKGROUND: Age, race, ethnicity, and sex are important determinants of coronavirus disease of 2019 (COVID-19) outcomes. Older adults (65 years and older) are at the highest risk of COVID-19 morbidity and mortality. Analyzing their vaccine uptake by subclassifying demographics is rare and can assist vaccination policies. This study investigates COVID-19 dose 1 and 2 vaccine uptakes among them by race, ethnicity, and sex. METHODS: Immunization registry data were used to calculate temporal changes in older adults' COVID-19 vaccine uptake by race, ethnicity, race-sex, and ethnicity-sex in Kentucky's most populous county, Jefferson County, during the first 6 quarters of the COVID-19 vaccination program. RESULTS: By May 2022, the county's Asian residents had the highest dose 1 and 2 vaccination rates (97.0% and 80.4%), then White residents (90.0% and 80.2%). Black residents had one of the lowest COVID-19 vaccination rates (87.3% and 77.3%). The rate among Hispanic residents (82.0% and 66.4%) was considerably lower than non-Hispanic residents (90.2% and 80.1%). The rates were consistently lower in males. CONCLUSIONS: Racial, ethnic, and sex-based COVID-19 vaccine inequalities were largely maintained during the study period. Vaccine rollout practices and promotional programs should aim to boost the uptake of the COVID-19 vaccination among racial minority and male older adults.

Association between uncontrolled diabetes and periodontal disease in US adults: NHANES 2009-2014.

This study examined the relationship between uncontrolled diabetes and periodontal disease (PD) among adults in the United States. We used data from the 2009-2014 National Health and Nutrition Examination Survey (NHANES) with a sample of 6108 adults ages 30 and over. To measure PD status, we used the Centers for Disease Control and Prevention/American Academy of Periodontology's standards. To classify DM status (no DM, DM with HbA1c < 9%, diabetes with HbA1c ≥ 9%),we used self-reported Diabetes Mellitus (DM) diagnosis and laboratory report of HbA1c. Approximately 8.5% of the sample had controlled DM, and 1.7% had uncontrolled DM, for a total of 10.2% DM in the analysis. Multivariate logistic regression showed that compared to those without DM, PD was significantly increased with controlled DM (adjusted odds ratio (aOR) = 1.32, 95% confidence interval (CI) 1.01-1.73, p < 0.05) and even more with uncontrolled DM (aOR = 2.48, 95% CI 1.52-4.04, p < 0.001), after adjusting for covariates. Factors that reduced the prevalence of PD included annual dental visits, female gender, and college education. Factors that significantly increased PD prevalence were cigarette smoking, non-white race, income < 200% Federal Poverty Level, and older age (age > 50 years). In conclusion, uncontrolled DM was significantly associated with higher odds of PD among adults in the US.

COVID-19 infection and mortality among non-pregnant indigenous adults in Mexico 2020-2022: Impact of marginalisation.

Background: Indigenous individuals have higher rates of mortality and poverty in Mexico and more than half are marginalised, and COVID-19 pandemic aggravated the existing burden of health disparities. We aimed to analyse the effects of being indigenous and marginalised on coronavirus (COVID-19) infection fatality in Mexico. Methods: We identified 3 424 690 non-pregnant, COVID-19 positive adults ≥19 years in the Mexico national COVID-19 database with known date of symptom. We used demographic information, indigenous status, marginalisation status, and co-morbidities in binary logistic regression to predict mortality, adjusting for covariates, including hospitalisation, admission to the intensive care unit (ICU), and mechanical ventilation use. We also assessed the interaction between indigenous status and marginalisation. Results: Marginalisation was much higher among indigenous (53.7%) compared to non-indigenous individuals (4.8%). COVID-19 fatalities were approximately 20 years older (64.4 and 63.0 years) than survivors (44.7 and 41.2 years) among indigenous vs non-indigenous individuals, respectively. The unadjusted risk of COVID-19 fatality among indigenous individuals was nearly two-fold (odds ratio (OR) = 1.92)) compared to non-indigenous individuals (OR = 1.05). COVID-19 fatality was higher among highly marginalised individuals (upper quartile) (OR = 1.51; 95% confidence interval (CI) = 1.49-1.54). Marginalised indigenous individuals had a significantly lower likelihood of ICU admission compared to non-indigenous non-marginalised individuals. The likelihood of mechanical ventilation for indigenous individuals was 4% higher compared to non-indigenous individuals. Indigenous marginalised individuals had a significantly lower probability of mechanical ventilation compared to non-indigenous non-marginalised individuals. COVID-19 comorbidity risks of fatality significantly differed between the two groups in the Cox survival analysis. In the fully adjusted model, indigenous individuals were 4% more likely to die from COVID-19 compared to non-indigenous. Conclusions: Indigenous, marginalised individuals with COVID-19 had higher risk of hospitalisation and ICU admission than non-indigenous patients. Marginalised, indigenous individuals were less likely to receive mechanical ventilation compared to non-indigenous, but had a higher risk of COVID-19. Indigenous individuals had a 4% higher COVID-19 mortality risk COVID-19 compared to non-indigenous individuals. Improved community medical care and augmented health services in rural hospitals could mitigate barriers to health care access in indigenous, marginalised populations.

Residence in urban or rural counties in relation to opioid overdose mortality among Kentucky hospitalizations before and during the COVID-19 pandemic.

BACKGROUND: At the beginning of the opioid overdose epidemic, overdose mortality rates were higher in urban than in rural areas. We examined the association between residence in an urban or rural county and subsequent opioid overdose mortality in Kentucky, a state highly impacted by the opioid epidemic, and whether this was modified by the COVID-19 pandemic. METHODS: We captured hospitalizations in Kentucky from 2016 to 2020, involving an opioid using ICD-10-CM codes T40.0-T40.4 and T40.6. Patient's county was classified as urban or rural based on the NCHS Urban-Rural Classification Scheme. Multivariable logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) of opioid overdose mortality, adjusted for demographics, hospitalization severity, and zip code SES. We assessed effect modification by the COVID-19 pandemic. RESULTS: Overall, patients living in urban counties had 46% higher odds of opioid overdose death than patients residing in rural counties (adjusted OR=1.46; 95% CI=1.22, 1.74). Before the pandemic, patients in urban counties had 63% increased odds of opioid overdose death (adjusted OR=1.63; 95% CI=1.34, 1.97); however, during the COVID-19 pandemic, patients in urban and rural counties became more similar in regard to opioid overdose mortality (adjusted OR=0.72; 95% CI=0.45, 1.16; p-value for interaction =0.02). CONCLUSION: Before the pandemic, living in urban counties was associated with higher opioid overdose mortality among Kentucky hospitalizations; however, during the COVID-19 pandemic, opioid overdose mortality in rural areas increased, approaching rates in urban areas. COVID-19 posed social, economic, and healthcare challenges that may be contributing to worsening mortality trends affecting both urban and rural patients.

Tooth loss and uncontrolled diabetes among US adults.

BACKGROUND: The objective of this study was to analyze the association between tooth loss and uncontrolled diabetes among US adults. METHODS: The authors used National Health and Nutrition Examination Survey data from 2011 through 2018. The sample included 16,635 participants 20 years and older who represent 187,596,215 people in the United States in a probability weighted sample. The authors used bivariate analysis and multiple regressions to analyze factors associated with edentulism and number of missing teeth. RESULTS: The multiple logistic regression model significantly predicted edentulism using diabetes status (adjusted odds ratio controlled diabetes, 1.44 [95% CI, 1.12 to 1.86]; adjusted odds ratio uncontrolled diabetes, 2.26 [95% CI, 1.33 to 3.85]), missing annual dental visits, seeing a dentist only for treatment, family income below 200% of the federal poverty guideline, being female, being 65 years or older, tobacco smoking, and no college education. After controlling for the same covariates, multiple Poisson regression analysis showed that dentate adults with controlled and uncontrolled diabetes had higher relative risk of tooth loss than those without diabetes (adjusted risk ratio controlled diabetes, 1.52 [95% CI, 1.35 to 1.71]; adjusted risk ratio uncontrolled diabetes, 1.57 [95% CI, 1.35 to 1.83]). CONCLUSIONS: US adults with uncontrolled (glycated hemoglobin ≥ 9%) and controlled diabetes (glycated hemoglobin < 9%) were more likely to be edentulous and experience tooth loss than adults without diabetes. PRACTICAL IMPLICATIONS: US health policy officials should adopt benefits policies to provide regular dental examinations to people who have diabetes, have low income (< 200% of the federal poverty guideline), or are 65 years or older to reduce tooth loss and improve their quality of life. Dentists should work with physicians to help patients control glycemic levels.

Oral health-related quality of life in US adults with type 2 diabetes.

OBJECTIVES: The objective of this study was to analyze factors associated with oral health-related quality of life (OHRQoL) between type 2 diabetes mellitus (T2DM) and nondiabetic US adults. METHODS: The study sample included 2945 participants (aged ≥20) selected from National Health and Nutrition Examination Survey (NHANES) 2003-2004 that represented 130,689,262 million persons in a probability weighted sample. Oral health outcomes were measured by the NHANES version of Oral Health Impact Profile (OHIP) for OHRQoL and summarized as additive scores (OHIP-ADD) and as prevalence of negative impacts (OHIP-SC). Multiple logistic regression models used dichotomous outcome variables OHIP-ADD and OHIP-SC. The cut-off values for poor OHRQoL were heuristically defined as OHIP-ADD ≥6 and as OHIP-SC > 0. RESULTS: Poor OHRQoL was significantly (p < 0.0001) predicted by T2DM (ORSC-controlled  = 1.43, ORSC-uncontrolled  = 1.73), obesity (ORSC  = 1.24), untreated dental caries (ORSC  = 1.79), periodontal disease (ORADD  = 1.07), evaluated unmet denture need (ORSC  = 1.72), low income (ORADD  = 1.22), smoking (ORSC-former-smoker  = 1.04, ORSC-current-smoker  = 1.99), African-American (ORSC  = 1.19), and female (ORSC  = 1.66) in both logistic regression models. In contrast, protective factors significantly (p < 0.0001) associated with poor OHRQoL were private dental insurance (ORSC  = 0.81), college education (ORSC  = 0.85), and annual dental prophylaxis (ORSC  = 0.83), after adjustment for covariates. CONCLUSIONS: This study showed that private insurance coverage and annual prophylaxis are associated with better average OHRQoL among individuals with T2DM. Improved OHRQoL may be associated with glycaemia control, decreased BMI, and smoking cessation. The highest odds for poor OHRQoL were found among US adults with T2DM with uncontrolled HbA1c, untreated dental caries, and current smoking.

Magnesium dietary intake and physical activity in Type 2 diabetes by gender in White, African-American and Mexican American: NHANES 2011-2014.

Aims: To analyse the causal relationships of nutrition intake and physical activity on haemoglobin A1c (HbA1C) in patients diagnosed with type 2 diabetes mellitus (T2DM) stratified by gender and ethnicity. Materials and Methods: An historical cohort of patients with diagnosed T2DM (n = 2831) was extracted from the National Health and Nutrition Examination Survey (NHANES) 2011-2014 public database, including but not limited to, measurements of physical activity, nutrition, body mass index (BMI) and HbA1c. Multivariate analyses and path analyses were employed to estimate the regression coefficients and path coefficients (ρ) of causal path models of physical activity and nutrition intake on HbA1c stratified by gender and three ethnicity groups (ie non-Hispanic white, non-Hispanic black and Mexican American). Results: A significant causal path from increased physical activity to increased magnesium (Mg) intake to decreased HbA1c was found. In addition, increased physical activity significantly decreased BMI, which further decreased HbA1c. These results varied by gender and ethnicity but were directionally consistent. Physical activity decreased HbA1c through BMI for males and through Mg intake for females. Mexican American decreased HbA1c through Mg intake, while non-Hispanic black had an increased HbA1c due to its ethnicity and through increased BMI. Conclusions: The beneficial effects of physical activity on decreased HbA1c were mediated through the increased Mg intake and decreased BMI. This aligned with recent investigations of the inverse causal association of Mg intake with insulin resistance and with decreased inflammation.

Weather and COVID-19 Deaths During the Stay-at-Home Order in the United States.

OBJECTIVE: To estimate the association between weather and COVID-19 fatality rates during US stay-at-home orders. METHODS: With a county-level longitudinal design, this study analyzed COVID-19 deaths from public health departments' daily reports and considered exposure as the 18 to 22 day-period before death. Models included state-level social distancing measures, Census Bureau demographics, daily weather information, and daily air pollution. The primary measures included minimum and maximum daily temperature, precipitation, ozone concentration, PM2.5 concentrations, and U.V. light index. RESULTS: A 1 °F increase in the minimum temperature was associated with 1.9% (95% CI, 0.2% to 3.6%) increase in deaths 20 days later. An ozone concentration increase of 1 ppb (part per billion) decreased daily deaths by 2.0% (95% CI, 0.1% to 3.6%); ozone levels below 38 ppb negatively correlated with deaths. CONCLUSIONS: Increased mobility may drive the observed association of minimum daily temperature on COVID-19 deaths.

County-level demographic, social, economic, and lifestyle correlates of COVID-19 infection and death trajectories during the first wave of the pandemic in the United States.

BACKGROUND: The US COVID-19 epidemic impacted counties differently across space and time, though large-scale transmission dynamics are unclear. The study's objective was to group counties with similar trajectories of COVID-19 cases and deaths and identify county-level correlates of the distinct trajectory groups. METHODS: Daily COVID-19 cases and deaths were obtained from 3141 US counties from January through June 2020. Clusters of epidemic curve trajectories of COVID-19 cases and deaths per 100,000 people were identified with Proc Traj. We utilized polytomous logistic regression to estimate Odds Ratios for trajectory group membership in relation to county-level demographics, socioeconomic factors, school enrollment, employment and lifestyle data. RESULTS: Six COVID-19 case trajectory groups and five death trajectory groups were identified. Younger counties, counties with a greater proportion of females, Black and Hispanic populations, and greater employment in private sectors had higher odds of being in worse case and death trajectories. Percentage of counties enrolled in grades 1-8 was associated with earlier-start case trajectories. Counties with more educated adult populations had lower odds of being in worse case trajectories but were generally not associated with worse death trajectories. Counties with higher poverty rates, higher uninsured, and more living in non-family households had lower odds of being in worse case and death trajectories. Counties with higher smoking rates had higher odds of being in worse death trajectory counties. DISCUSSION: In the absence of clear guidelines and personal protection, smoking, racial and ethnic groups, younger populations, social, and economic factors were correlated with worse COVID-19 epidemics that may reflect population transmission dynamics during January-June 2020. After vaccination of high-risk individuals, communities with higher proportions of youth, communities of color, smokers, and workers in healthcare, service and goods industries can reduce viral spread by targeting vaccination programs to these populations and increasing access and education on non-pharmaceutical interventions.

Prevalence of unmasked and improperly masked behavior in indoor public areas during the COVID-19 pandemic: Analysis of a stratified random sample from Louisville, Kentucky.

Wearing a facial mask can limit COVID-19 transmission. Measurements of communities' mask use behavior have mostly relied on self-report. This study's objective was to devise a method to measure the prevalence of improper mask use and no mask use in indoor public areas without relying on self-report. A stratified random sample of retail trade stores (public areas) in Louisville, Kentucky, USA, was selected and targeted for observation by trained surveyors during December 14-20, 2020. The stratification allowed for investigating mask use behavior by city district, retail trade group, and public area size. The total number of visited public areas was 382 where mask use behavior of 2,080 visitors and 1,510 staff were observed. The average prevalence of mask use among observed visitors was 96%, while the average prevalence of proper use was 86%. In 48% of the public areas, at least one improperly masked visitor was observed and in 17% at least one unmasked visitor was observed. The average prevalence of proper mask use among staff was 87%, similar to the average among visitors. However, the percentage of public areas where at least one improperly masked staff was observed was 33. Significant disparities in mask use and its proper use were observed among both visitors and staff by public area size, retail trade type, and geographical area. Observing unmasked and improperly masked visitors was more common in small (less than 1500 square feet) public areas than larger ones, specifically in food and grocery stores as compared to other retail stores. Also, the majority of the observed unmasked persons were male and middle-aged.

Cadmium Is Associated with Type 2 Diabetes in a Superfund Site Lead Smelter Community in Dallas, Texas.

OBJECTIVE: To test the hypothesis that cadmium (Cd) exposure is associated with type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS: A two-phase health screening (physical examination and laboratory tests) was conducted in a lead smelter community following a Superfund Cleanup. Participants were African Americans aged >19 years to <89 years. Multiple logistic regression was used to analyze T2DM regressed on blood Cd level and covariates: body mass index (BMI), heavy metals (Ar, Cd, Hg, Pb), duration of residence, age, smoking status, and sex. RESULTS: Of 875 subjects environmentally exposed to Cd, 55 were occupationally exposed to by-products of lead smelting and 820 were community residents. In addition, 109 T2DM individuals lived in the community for an average of 21.0 years, and 766 non-T2DM individuals for 19.0 years. T2DM individuals (70.3%) were >50 years old. Blood Cd levels were higher among T2DM subjects (p < 0.006) compared to non-T2DM individuals. Logistic regression of T2DM status identified significant predictors: Cd level (OR = 1.85; 95% CI: 1.14-2.99, p < 0.01), age >50 years (OR = 3.10; 95% CI: 1.91-5.02, p < 0.0001), and BMI (OR = 1.07; CI: 1.04-1.09, 0.0001). In meta-analysis of 12 prior studies and this one, T2DM risk was OR = 1.09 (95% CI: 1.03-1.15, p < 0.004) fixed effects and 1.22 (95% CI: 1.04-1.44, p < 0.02) random effects. DISCUSSION: Chronic environmental Cd exposure was associated with T2DM in a smelter community, controlling for covariates. T2DM onset <50 years was significantly associated with Cd exposure, but >50 years was not. Meta-analysis suggests that Cd exposure is associated with a small, but significant increased risk for T2DM. Available data suggest Cd exposure is associated with an increased propensity to increased insulin resistance.