Hispanics/Latinos With Type 2 Diabetes Have Functional and Symptomatic Pulmonary Impairment Mirroring Kidney Microangiopathy: Findings From the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)

Type 2 diabetes mellitus (DM) has been associated with lung dysfunction, but this association has not been explored in Hispanics/Latinos. The relation between diabetic nephropathy and lung function and symptoms has not been explored

Neighborhood segregation and cancer prevention guideline adherence in US Hispanic/Latino adults: Results from the HCHS/SOL

Background Adherence to the American Cancer Society (ACS) guidelines for cancer prevention is associated with a lower risk of cancer and mortality. The role of neighborhood segregation on adherence to the guidelines among Hispanic/Latino adults is relatively unexplored. Materials and methods The Hispanic Community Health Study/Study of Latinos is a community-based prospective cohort of 16,462 Hispanic/Latino adults, ages 18-74 years enrolled in 2008-2011 from the Bronx, Chicago, Miami and San Diego. Dimensions of neighborhood segregation were measured using 2010 United States’ census tracts:—evenness (the physical separation of a group), exposure (the propensity for contact between groups), and their joint effect (hypersegregation). ACS guideline adherence levels – low, moderate, high – were created from accelerometry-measured physical activity, dietary intake, alcohol intake, and body mass index. Weighted multinominal logistic regressions estimated relative risk ratios (RRR) and 95% confidence intervals (CI) for guideline adherence levels and its components. Results Hispanic/Latino adults were classified as low (13.7%), moderate (58.8%) or highly (27.5%) adherent to ACS guidelines. We found no evidence of an association between segregation and overall guideline adherence. Exposure segregation associated with lower likelihood of moderate adherence to alcohol recommendations (RRRmoderate vs. low:0.86, 95%CI:0.75-0.98) but higher likelihood for diet recommendations (RRRmoderate vs. low:1.07, 95%CI:1.01-1.14). Evenness segregation associated with lower likelihood of high adherence to the physical activity recommendations (RRRhigh vs. low:0.73, 95%CI:0.57-0.94). Hypersegregation was associated with individual guideline components. Conclusion We found evidence of a cross-sectional relationship between neighborhood segregation and ACS cancer prevention guideline components, but not with overall ACS guideline adherence

The trans-ancestral genomic architecture of glycemic traits

Glycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic health. To date, most genetic studies of glycemic traits have focused on individuals of European ancestry. Here we aggregated genome-wide association studies comprising up to 281,416 individuals without diabetes (30% non-European ancestry) for whom fasting glucose, 2-h glucose after an oral glucose challenge, glycated hemoglobin and fasting insulin data were available. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P < 5 x 10(-8)), 80% of which had no significant evidence of between-ancestry heterogeneity. Analyses restricted to individuals of European ancestry with equivalent sample size would have led to 24 fewer new loci. Compared with single-ancestry analyses, equivalent-sized trans-ancestry fine-mapping reduced the number of estimated variants in 99% credible sets by a median of 37.5%. Genomic-feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase our understanding of diabetes pathophysiology by using trans-ancestry studies for improved power and resolution. A trans-ancestry meta-analysis of GWAS of glycemic traits in up to 281,416 individuals identifies 99 novel loci, of which one quarter was found due to the multi-ancestry approach, which also improves fine-mapping of credible variant sets.Peer reviewe

Rising rural body-mass index is the main driver of the global obesity epidemic in adults

Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities(.)(1,2) This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity(3-6). Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55% of the global rise in mean BMI from 1985 to 2017-and more than 80% in some low- and middle-income regions-was due to increases in BMI in rural areas. This large contribution stems from the fact that, with the exception of women in sub-Saharan Africa, BMI is increasing at the same rate or faster in rural areas than in cities in low- and middle-income regions. These trends have in turn resulted in a closing-and in some countries reversal-of the gap in BMI between urban and rural areas in low- and middle-income countries, especially for women. In high-income and industrialized countries, we noted a persistently higher rural BMI, especially for women. There is an urgent need for an integrated approach to rural nutrition that enhances financial and physical access to healthy foods, to avoid replacing the rural undernutrition disadvantage in poor countries with a more general malnutrition disadvantage that entails excessive consumption of low-quality calories.Peer reviewe

Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants

Summary Background Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. Methods For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. Findings We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes—gaining too little height, too much weight for their height compared with children in other countries, or both—occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls. Interpretation The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks

Global Effect of Modifiable Risk Factors on Cardiovascular Disease and Mortality.

BACKGROUND: Five modifiable risk factors are associated with cardiovascular disease and death from any cause. Studies using individual-level data to evaluate the regional and sex-specific prevalence of the risk factors and their effect on these outcomes are lacking. METHODS: We pooled and harmonized individual-level data from 112 cohort studies conducted in 34 countries and 8 geographic regions participating in the Global Cardiovascular Risk Consortium. We examined associations between the risk factors (body-mass index, systolic blood pressure, non-high-density lipoprotein cholesterol, current smoking, and diabetes) and incident cardiovascular disease and death from any cause using Cox regression analyses, stratified according to geographic region, age, and sex. Population-attributable fractions were estimated for the 10-year incidence of cardiovascular disease and 10-year all-cause mortality. RESULTS: Among 1,518,028 participants (54.1% of whom were women) with a median age of 54.4 years, regional variations in the prevalence of the five modifiable risk factors were noted. Incident cardiovascular disease occurred in 80,596 participants during a median follow-up of 7.3 years (maximum, 47.3), and 177,369 participants died during a median follow-up of 8.7 years (maximum, 47.6). For all five risk factors combined, the aggregate global population-attributable fraction of the 10-year incidence of cardiovascular disease was 57.2% (95% confidence interval [CI], 52.4 to 62.1) among women and 52.6% (95% CI, 49.0 to 56.1) among men, and the corresponding values for 10-year all-cause mortality were 22.2% (95% CI, 16.8 to 27.5) and 19.1% (95% CI, 14.6 to 23.6). Harmonized individual-level data from a global cohort showed that 57.2% and 52.6% of cases of incident cardiovascular disease among women and men, respectively, and 22.2% and 19.1% of deaths from any cause among women and men, respectively, may be attributable to five modifiable risk factors. (Funded by the German Center for Cardiovascular Research (DZHK); ClinicalTrials.gov number, NCT05466825.)

Abstract 05: Associations of Objectively-measured Sedentary Time And Physical Activity with Meeting Cardiovascular Risk Factor Control Goals in U.S. Hispanic/Latino Adults with Diabetes: The Hispanic Community Health Study/Study of Latinos (hchs/sol)

Background: Cardiovascular risk factor (RF) control is a cornerstone of diabetes management. Little is known about whether objectively-measured sedentary time and physical activity are associated with meeting RF goals in individuals with diabetes. Methods: We examined cross-sectional associations of sedentary behaviors and moderate-to-vigorous physical activity (MVPA) with meeting RF goals in 1,699 adults who self-reported diagnosed diabetes from the HCHS/SOL, a population-based cohort of US Hispanics/Latinos conducted between 2008 and 2011. Sedentary time and MVPA were assessed by Actical accelerometers for 7 days. Five RF goals were defined: HbA1c 40/50 mg/dL for men/women. Results: The mean time spent in sedentary behaviors and MVPA was 12.5 hrs/day and 17.2 mins/day, respectively. Adults with diabetes meeting greater number of RF goals spent, on average, less time in sedentary behaviors, and the odds of meeting ≥ 3 RF goals, relative to meeting zero RF goal, was 3.31 (95% CI 1.27, 7.68) times by comparing the lowest and highest tertiles of sedentary time (Figure 1). Specifically, after adjustment for potentially confounding variables and MVPA, less sedentary time was associated with increased odds of meeting HbA1c (OR for the lowest vs highest tertile of sedentary time =1.81 [1.20, 2.72]; P for trend =0.005) and triglyceride (OR =2.07 [1.34, 3.20]; P for trend =0.001) goals. MVPA was not associated with meeting any RF goals (all P for trend >0.21). Associations between sedentary time and meeting RF goals were consistent among adults meeting or not meeting MVPA recommendations. Conclusions: US Hispanics/Latino adults with diabetes who spend less sedentary time were more likely to meet RF goals, particularly HbA1c and triglyceride goals, regardless of MVPA. Our findings further emphasize the importance of reducing sedentary behaviors beyond increasing exercise in individuals with diabetes

Factors associated with undiagnosed diabetes among adults with diabetes: Results from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).

AimsTo investigate sociodemographic and health factors associated with undiagnosed diabetes among adults with diabetes in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).MethodsAmong 3384 adults with self-reported diabetes or undiagnosed diabetes in the baseline HCHS/SOL, we estimated odds ratios (OR) of being undiagnosed for demographic, cultural, access to care, and health factors.ResultsAmong individuals with diabetes, 37.0% were undiagnosed. After adjustment and compared to people of Mexican heritage, people of Cuban and South American heritage had 60% (OR = 1.60, 95% CI = 1.02-2.50) and 91% (OR = 1.91, 1.16-3.14) higher odds of being undiagnosed, respectively. Individuals with a higher odds of being undiagnosed were women (OR = 1.64, 1.26-2.13), those with no health insurance (OR = 1.31, 1.00-1.71), individuals who received no healthcare in the past year (OR = 3.59, 2.49-5.16), those who were overweight (vs. normal weight) (OR = 1.60, 1.02-2.50), and those with dyslipidemia (OR = 1.38, 1.10-1.74). Individuals with lower odds of being undiagnosed were those with a family history of diabetes (OR = 0.54, 0.43-0.68), and those with hypertension (OR = 0.46, 0.36-0.58).ConclusionsVariation by Hispanic heritage group, sex, and access to medical care highlight where concentrated efforts are need to improve diabetes awareness. Our findings will inform clinical and public health practices to improve diabetes awareness among vulnerable populations

Factors associated with undiagnosed diabetes among adults with diabetes: Results from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).

AimsTo investigate sociodemographic and health factors associated with undiagnosed diabetes among adults with diabetes in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).MethodsAmong 3384 adults with self-reported diabetes or undiagnosed diabetes in the baseline HCHS/SOL, we estimated odds ratios (OR) of being undiagnosed for demographic, cultural, access to care, and health factors.ResultsAmong individuals with diabetes, 37.0% were undiagnosed. After adjustment and compared to people of Mexican heritage, people of Cuban and South American heritage had 60% (OR = 1.60, 95% CI = 1.02-2.50) and 91% (OR = 1.91, 1.16-3.14) higher odds of being undiagnosed, respectively. Individuals with a higher odds of being undiagnosed were women (OR = 1.64, 1.26-2.13), those with no health insurance (OR = 1.31, 1.00-1.71), individuals who received no healthcare in the past year (OR = 3.59, 2.49-5.16), those who were overweight (vs. normal weight) (OR = 1.60, 1.02-2.50), and those with dyslipidemia (OR = 1.38, 1.10-1.74). Individuals with lower odds of being undiagnosed were those with a family history of diabetes (OR = 0.54, 0.43-0.68), and those with hypertension (OR = 0.46, 0.36-0.58).ConclusionsVariation by Hispanic heritage group, sex, and access to medical care highlight where concentrated efforts are need to improve diabetes awareness. Our findings will inform clinical and public health practices to improve diabetes awareness among vulnerable populations