IBOV 209,066.90 ▲ 1.38% IPSA 11,043.36 ▲ 0.17% IPC MEX 66,746.78 ▲ 1.06% MERVAL 2,828,027 ▼ 0.16% COLCAP 2,531.15 — 0.00% BVL PERÚ 60,956.11 ▼ 0.51% USD/BRL4.98▼ 0.07% USD/MXN18.27▲ 0.03% USD/CLP975.40▼ 0.15% USD/COP3,188▼ 0.18% USD/PEN3.45▲ 0.24% USD/ARS1,517▼ 0.02% USD/UYU40.18— 0.00% USD/PYG5,691— 0.00% USD/BOB11.69▼ 0.68% USD/DOP61.12▲ 0.56% USD/CRC449.86— 0.00% USD/GTQ7.64— 0.00% USD/HNL26.86— 0.00% USD/NIO36.62— 0.00% USD/VES874.61▼ 0.13% USD/PAB1.00— 0.00% USD/BZD2.00— 0.00% USD/JMD 157.28 — 0.00% USD/TTD6.77— 0.00% EUR/BRL5.58▲ 0.30% BRENT 88.88 ▼ 0.03% WTI 83.11 ▼ 0.11% IRON ORE 161.91 — — COPPER 6.61 ▲ 0.03% GOLD 4,461 ▲ 1.78% SILVER 65.59 ▲ 1.26% SOY 1,184 ▲ 3.20% CORN 480.50 ▲ 10.02% WHEAT 655.00 ▲ 3.93% COFFEE 317.25 ▼ 5.51% SUGAR 16.43 ▼ 1.79% ORANGE JUICE 138.55 ▼ 0.47% COTTON 85.03 ▲ 2.33% COCOA 5,719 ▲ 3.18% BEEF 223.60 ▼ 3.93% CATTLE 339.10 ▼ 3.16% LITHIUM 75.20 ▲ 1.47% PETR4 41.64 ▼ 0.05% VALE3 72.97 ▲ 0.83% ITUB4 38.60 ▼ 1.03% BBDC4 16.85 ▲ 0.36% ABEV3 14.89 ▼ 0.80% BBAS3 19.37 ▲ 0.47% B3SA3 14.26 ▼ 0.21% WEGE3 47.59 ▲ 0.49% PRIO3 59.14 ▼ 0.19% SUZB3 41.33 ▲ 2.35% RENT3 34.68 ▼ 0.09% AZZA3 15.89 ▼ 2.63% CSAN3 3.22 ▼ 1.83% RAIZ4 0.25 — 0.00% PCAR3 2.75 ▼ 0.36% GMAT3 3.65 ▼ 1.08% PSSA3 48.13 ▼ 0.54% CVCB3 1.33 ▼ 2.92% POSI3 3.36 ▲ 2.44% SLCE3 13.34 ▲ 0.30% NATU3 8.14 ▼ 0.73% IBOV 209,066.90 ▲ 1.38% IPSA 11,043.36 ▲ 0.17% IPC MEX 66,746.78 ▲ 1.06% MERVAL 2,828,027 ▼ 0.16% COLCAP 2,531.15 — 0.00% BVL PERÚ 60,956.11 ▼ 0.51% USD/BRL 5.16 ▲ 0.01% USD/MXN 17.06 ▼ 0.24% USD/CLP 913.98 ▲ 0.04% USD/COP 3,140 ▲ 0.03% USD/PEN 3.36 ▼ 0.66% USD/ARS 1,493 ▲ 0.10% USD/UYU 40.27 ▲ 1.24% USD/PYG 5,939 ▲ 1.68% USD/BOB 11.64 ▼ 0.76% USD/DOP 58.34 ▲ 1.25% USD/CRC 445.92 ▲ 0.89% USD/GTQ 7.62 ▲ 2.21% USD/HNL 26.79 ▲ 1.57% USD/NIO 36.62 ▲ 0.69% USD/VES 762.44 ▼ 0.13% USD/PAB 1.00 — 0.00% USD/BZD 2.00 — 0.00% USD/JMD 157.28 — 0.00% USD/TTD 6.70 ▲ 0.61% EUR/BRL 5.95 ▲ 1.01% BRENT 88.88 ▼ 0.03% WTI 83.11 ▼ 0.11% IRON ORE 161.91 — — COPPER 6.61 ▲ 0.03% GOLD 4,461 ▲ 1.78% SILVER 65.59 ▲ 1.26% SOY 1,184 ▲ 3.20% CORN 480.50 ▲ 10.02% WHEAT 655.00 ▲ 3.93% COFFEE 317.25 ▼ 5.51% SUGAR 16.43 ▼ 1.79% ORANGE JUICE 138.55 ▼ 0.47% COTTON 85.03 ▲ 2.33% COCOA 5,719 ▲ 3.18% BEEF 223.60 ▼ 3.93% CATTLE 339.10 ▼ 3.16% LITHIUM 75.20 ▲ 1.47% PETR4 41.64 ▼ 0.05% VALE3 72.97 ▲ 0.83% ITUB4 38.60 ▼ 1.03% BBDC4 16.85 ▲ 0.36% ABEV3 14.89 ▼ 0.80% BBAS3 19.37 ▲ 0.47% B3SA3 14.26 ▼ 0.21% WEGE3 47.59 ▲ 0.49% PRIO3 59.14 ▼ 0.19% SUZB3 41.33 ▲ 2.35% RENT3 34.68 ▼ 0.09% AZZA3 15.89 ▼ 2.63% CSAN3 3.22 ▼ 1.83% RAIZ4 0.25 — 0.00% PCAR3 2.75 ▼ 0.36% GMAT3 3.65 ▼ 1.08% PSSA3 48.13 ▼ 0.54% CVCB3 1.33 ▼ 2.92% POSI3 3.36 ▲ 2.44% SLCE3 13.34 ▲ 0.30% NATU3 8.14 ▼ 0.73%
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Covid-19 Brazil

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

By · February 26, 2021 · 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 newsroom system. How we use AI · Report an error · Editorial responsibility: Matthias Camenzind, Editor-in-Chief

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