IBOV 172,060.43 ▲ 0.42% IPC MEX 72,006.05 ▲ 0.16% MERVAL 2,848,945 — — USD/BRL5.59▲ 0.06% USD/MXN18.58▼ 0.11% USD/CLP982.08▼ 0.22% USD/COP3,279▼ 0.87% USD/PEN3.41▼ 0.02% USD/ARS1,544▼ 0.03% USD/UYU40.52▲ 3.32% USD/PYG6,174▲ 1.84% USD/BOB11.63▲ 1.12% USD/DOP60.48▲ 0.05% USD/CRC446.01▲ 1.66% USD/GTQ7.64▲ 3.16% USD/HNL26.90▲ 3.29% USD/NIO36.62▲ 2.73% USD/VES902.19▼ 0.13% USD/PAB1.00— 0.00% USD/BZD2.00— 0.00% USD/JMD157.49▲ 2.41% USD/TTD6.72▲ 2.22% EUR/BRL6.19▼ 0.60% BRENT 92.70 ▼ 0.06% WTI 86.31 ▼ 0.25% IRON ORE 161.91 — — COPPER 6.22 ▼ 0.87% GOLD 3,941 ▼ 1.48% SILVER 51.06 ▼ 1.58% SOY 1,225 ▼ 0.31% CORN 446.75 ▼ 0.28% WHEAT 598.00 ▼ 0.25% COFFEE 267.45 ▼ 0.58% SUGAR 18.22 ▼ 1.41% ORANGE JUICE 146.60 ▼ 0.10% COTTON 82.64 ▲ 5.25% COCOA 4,923 ▲ 3.82% BEEF 218.98 ▼ 0.10% CATTLE 332.63 ▲ 0.69% LITHIUM 61.07 ▲ 1.82% PETR4 43.55 ▼ 3.11% VALE3 64.43 ▼ 0.57% ITUB4 41.72 ▲ 1.26% BBDC4 14.33 ▼ 1.44% ABEV3 15.85 ▲ 0.38% BBAS3 16.89 ▼ 1.23% B3SA3 14.80 ▲ 2.21% WEGE3 51.61 ▲ 1.30% PRIO3 61.47 ▲ 2.42% SUZB3 53.80 ▼ 1.21% RENT3 30.24 ▲ 1.51% AZZA3 15.37 ▲ 4.34% CSAN3 3.03 ▲ 13.06% RAIZ4 0.30 ▼ 98.60% PCAR3 2.54 ▼ 0.78% GMAT3 4.08 ▲ 7.09% PSSA3 45.98 ▼ 1.48% CVCB3 0.86 — 0.00% POSI3 3.32 ▲ 5.40% SLCE3 17.05 ▼ 0.23% NATU3 5.62 ▲ 1.26% BRKM5 2.92 — 0.00% RANI3 8.39 ▼ 0.71% CSNA3 4.52 ▲ 3.20% IBOV 172,060.43 ▲ 0.42% IPC MEX 72,006.05 ▲ 0.16% MERVAL 2,848,945 — — USD/BRL 5.58 ▼ 0.01% USD/MXN 18.58 ▼ 0.11% USD/CLP 982.08 ▼ 0.22% USD/COP 3,288 ▼ 0.57% USD/PEN 3.41 ▼ 0.02% USD/ARS 1,544 ▼ 0.03% USD/UYU 40.52 ▲ 3.32% USD/PYG 6,174 ▲ 3.14% USD/BOB 11.63 ▲ 1.12% USD/DOP 60.48 ▲ 0.13% USD/CRC 446.01 ▲ 1.79% USD/GTQ 7.64 ▲ 3.16% USD/HNL 26.90 ▲ 3.29% USD/NIO 36.62 ▲ 2.73% USD/VES 902.19 ▼ 0.13% USD/PAB 1.00 — 0.00% USD/BZD 2.00 — 0.00% USD/JMD 157.49 ▲ 2.41% USD/TTD 6.72 ▲ 2.22% EUR/BRL 6.19 ▼ 0.62% BRENT 92.70 ▼ 0.06% WTI 86.31 ▼ 0.25% IRON ORE 161.91 — — COPPER 6.22 ▼ 0.87% GOLD 3,941 ▼ 1.48% SILVER 51.06 ▼ 1.58% SOY 1,225 ▼ 0.31% CORN 446.75 ▼ 0.28% WHEAT 598.00 ▼ 0.25% COFFEE 267.45 ▼ 0.58% SUGAR 18.22 ▼ 1.41% ORANGE JUICE 146.60 ▼ 0.10% COTTON 82.64 ▲ 5.25% COCOA 4,923 ▲ 3.82% BEEF 218.98 ▼ 0.10% CATTLE 332.63 ▲ 0.69% LITHIUM 61.07 ▲ 1.82% PETR4 43.55 ▼ 3.11% VALE3 64.43 ▼ 0.57% ITUB4 41.72 ▲ 1.26% BBDC4 14.33 ▼ 1.44% ABEV3 15.85 ▲ 0.38% BBAS3 16.89 ▼ 1.23% B3SA3 14.80 ▲ 2.21% WEGE3 51.61 ▲ 1.30% PRIO3 61.47 ▲ 2.42% SUZB3 53.80 ▼ 1.21% RENT3 30.24 ▲ 1.51% AZZA3 15.37 ▲ 4.34% CSAN3 3.03 ▲ 13.06% RAIZ4 0.30 ▼ 98.60% PCAR3 2.54 ▼ 0.78% GMAT3 4.08 ▲ 7.09% PSSA3 45.98 ▼ 1.48% CVCB3 0.86 — 0.00% POSI3 3.32 ▲ 5.40% SLCE3 17.05 ▼ 0.23% NATU3 5.62 ▲ 1.26% BRKM5 2.92 — 0.00% RANI3 8.39 ▼ 0.71% CSNA3 4.52 ▲ 3.20%
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Thursday, November 12, 2026

Covid-19 Brazil

Four health issues cause 64% of Covid-19 hospitalizations, U.S. study finds

By · · 2 min read

RIO DE JANEIRO, BRAZIL – A model developed by researchers at Tufts University in the United States with adults hospitalized for covid-19 has identified the most likely causes of hospitalization.

Four health issues cause 64% of covid-19 hospitalizations, study finds
Four health issues cause 64% of covid-19 hospitalizations, study finds.
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According to the study, the main factors that increase the risk of hospitalization are obesity, hypertension, diabetes, and heart failure.

The study was published on Thursday, February 25th, in the Journal of the American Heart Association, and is based on a mathematical simulation to estimate the proportion of covid-19 hospitalizations in the US that could have been prevented if these risk factors were not present.

Combined, the absence of these conditions in the US population would have reduced covid-19 hospitalizations by 64%. Obesity is the most relevant factor, with 30% of hospitalizations attributed to the risk element.

According to the Tufts model, which uses data from several other studies previously conducted on the disease, a 10% reduction in the prevalence of these risk factors would have reduced all coronavirus-related hospitalizations by 11%.

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A total of 906,849 hospitalizations in the United States through November 2020 were analyzed. In epidemiological terms, the attributable proportion represents the percentage of Covid-19 hospitalizations that could have been prevented in the absence of the four conditions.

The model also took age into consideration. For instance, about 8% of covid-19 hospitalizations among adults under 50 were due to diabetes. That percentage jumps to 29% for those aged 65 and older. Obesity had a similarly negative impact on hospitalizations among all ages.

“Medical providers should educate patients who may be at risk for severe Covid-19 and consider promoting preventive lifestyle measures, such as improved dietary quality and physical activity, to improve overall cardiometabolic health,” said Meghan O’Hearn, one of the study’s authors.

This article was produced by The Rio Times’ automated AI newsroom. Editorial responsibility: Matthias Camenzind, Publisher and Editor-in-Chief. The Rio Times also runs Ask Rio Times, which answers from 100,000+ of our own articles, the daily Latin America Power Map, and prediction-market odds on elections and markets.. How we use AI · Report an error

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