Estimates of hypertension and diabetes mellitus prevalence according to Health Vulnerability Index in Belo Horizonte, MG, Brazil

Method and process towards developing a Health Vulnerability Index (HVI) for Extreme Weather Events (EWEs) for local residents in South Africa

An increase in incidence and amplitude of extreme weather events (EWEs) linked to climate change, has resulted in greater human exposure and vulnerability to weather-related health effects. Increases in the occurrence of EWEs, including storms, flooding, extreme heat and wildfires, will impact health globally, with poor and vulnerable populations disproportionately affected. Vulnerability to EWEs, and the ability to adapt to these weather shocks, are influenced by existing physical, social and political limitations of a given region. As such, developing context-specific health vulnerability indices to inform planning and decision-making for policy makers and citizens alike, should be prioritized. The existence and development of health vulnerability indices in South Africa are limited, therefore, this study provides a foundation from which future indices can build. Mixed methods approaches including evidence and data analysis/synthesis and focus groups are used to understand the interconnections between extreme weather events and human health, including citizens' understanding of emergent vulnerabilities linked to these events. The methods employed in this study include: •A rapid evidence review (RER) including data extraction identifying health impacts and indicators.•Development of a draft health vulnerability index (HVI) framework.•Focus groups and individual interviews testing the draft HVI for citizen input and framework refinement.

Prevalence of functional dependence and chronic diseases in the community-dwelling Brazilian older adults: an analysis by dependence severity and multimorbidity pattern

BACKGROUND

Despite the advancements in knowledge about health care for older adults, essential gaps persist regarding the effects of chronic diseases as epidemiological markers of the state of functional dependence. This study aimed to identify the prevalence of moderate and severe functional dependence in Brazilian older adults and its association with chronic diseases and verify the multimorbidity patterns by dependence status.

METHODS

This cross-sectional analytical study used data from 11,177 community-dwelling Brazilian older adults from the 2013 National Health Survey conducted in Brazil. The dependent variables were moderate and severe functional dependence in basic activities of daily living (BADLs) and instrumental ADLs (IADLs). The independent variables were defined based on the questions applied to measure each morbidity in a self-reported manner and asked, "Has a doctor ever diagnosed you as having (each disease)? Multimorbidity was simultaneously considered present for older adults with ≥ 2 chronic morbidities. The association between functional dependence on BADLs and IADLs separately by severity and the independent variables was verified from crude and adjusted estimates of the point prevalence ratios and their 95% confidence intervals using the regression model Poisson with robust variance. To group diseases into patterns, exploratory factor analysis was used.

RESULTS

The prevalences of moderate and severe BADL dependence were 10.2% (95% CI, 9.6-10.7) and 4.8% (95% CI, 4.4-5.2), respectively. Moderate and severe IADL dependence prevalences were 13.8% (95% CI, 13.1-14.4) and 15.6% (95% CI, 14.9%-16.2), respectively. When changing the condition from moderate to severe dependence in BADLs, in the presence of other mental illnesses and stroke, the probability of dependence increased more than four times in the case of other mental illnesses and more than five times for stroke. There was a linear trend for dependence severity, both moderate and severe, whereas, for severe dependence on IADLs, this same factor maintained a linear trend toward an increase in probability as the number of diseases simultaneously increased.

CONCLUSIONS

Chronic diseases are associated with functional dependence, with greater emphasis on mental illnesses and stroke in severe disability, considering their acute adverse effects.

Red wine but not alcohol consumption improves cardiovascular function and oxidative stress of the hypertensive-SHR and diabetic-STZ rats

AIMS

This raised the issue of whether in vivo long-term red wine treatment can act as a modulator of these targets.

MAIN METHODS

We monitored SBP, glucose tolerance, oxidative stress, and cardiovascular function. Aortic and atrial tissues from normotensive-WKY, hypertensive-SHR, and diabetic-STZ animals, chronically exposed to red wine (3.715 ml/kg/v.o/day) or alcohol (12%) for 21-days, were used to measure contractile/relaxation responses by force transducers. Key findings: red wine, but not alcohol, prevented the increase of SBP and hyperglycemic peak. Additionally, was observed prevention of oxidative stress metabolites formation and an improvement in ROS scavenging antioxidant capacity of SHR. We also revealed that red wine intake enhances the endothelium-dependent relaxation, decreases the hypercontractile mediated by angiotensin-II in the aorta, and via β₁-adrenoceptors in the atrium.

SIGNIFICANCE

The long-term consumption of red wine can improve oxidative stress and the functionality of angiotensin-II and β₁-adrenoceptors, inspiring new pharmacologic and dietetic therapeutic approaches for the treatment of hypertension and diabetes.Abbreviation Acronyms and/or abbreviations: [Ca²⁺]_cyt = Cytosolic Ca²⁺ Concentration; ACh = Acetylcholine; ANG II = Angiotensin II; AT1 = ANG II type 1 receptor; AUC = Area Under the Curve; Ca²⁺ = Calcium; Endo + = Endothelium Intact; Fen = Phenylephrine (1 μM); GTT = Glucose Tolerance Test; ISO = Isoprenaline (isoproterenol); KHN = Krebs-Henseleit Nutrient; LA = Left Atria; LH = Lipid Hydroperoxide; NO = Nitric Oxide; RA = Right Atria; RAS = Renin-Angiotensin System; ROS = Reactive Oxygen Species; SBP = Systolic Blood Pressure; SHR = Spontaneously Hypertensive Rats; STZ = Streptozotocin; WKY = Normotensive Wistar Kyoto Rats.