Research Article

COVID-19 and Obesity: An Epidemiologic Analysis of the Brazilian Data

Table 1

Overview of the COVID-19-infected patients divided by sex, age group, and preexisting disease.

AliveDeathUnknown
n%% valid casesn%% valid casesn%% valid cases

Sex
 Female3472944.6744.682574541.6441.651883743.6843.7
 Male4300155.3155.323606458.3358.352427256.2856.3
 Missing values160.02200.03160.04

Age
 <605005764.3964.891613526.126.152427056.2856.67
 ≥602708034.8335.114555673.6873.851855943.0443.33
 Missing values6090.781380.222960.69

Obesity
 No2129327.3988.992062333.3590.191226628.4488.51
 Yes26343.3911.0122443.639.8115923.6911.49
 Missing values5381969.223896263.022926767.87

Cardiovascular disease
 No1234315.8837.421023016.5530.1673215.6135.32
 Yes2064226.5562.582375738.4269.91232728.5864.68
 Missing values4476157.572784245.032406655.81

Diabetes
 No1494919.2349.381275420.6340.17815618.9146.16
 Yes1532619.7150.621900030.7359.83951422.0653.84
 Missing values4747161.063007548.642545559.03

Asthma
 No2217328.5290.582205035.6694.871290129.9292.07
 Yes23052.969.4211921.935.1311112.587.93
 Missing values5326868.523858762.412911367.51

Pneumopathy
 No2252428.9792.282092533.8487.131282129.7391.4
 Yes18842.427.723090512.8712062.88.6
 Missing values5333868.613781461.162909867.47

Chronic neurological disease
 No2267029.1692.712079533.6385.681286729.8491.27
 Yes17822.297.2934765.6214.3212312.858.73
 Missing values5329468.553755860.742902767.31

Chronic kidney disease
 No2230128.6892.032039732.9984.171257029.1589.46
 Yes19302.487.9738366.215.8314813.4310.54
 Missing values5351568.833759660.812907467.42

Immunosuppression
 No2240628.8292.562134934.5390.811282029.7392.08
 Yes18002.327.4421613.59.1911022.567.92
 Missing values5354068.873831961.982920367.72

Hypertension
 Yes76949.9100847513.7110042279.8100
 Missing values7005290.15335486.293889890.2

Cancer
 Yes11551.4910021553.491007231.68100
 Missing values7659198.515967496.514240298.32