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. 2021 Dec 5;18(23):12819. doi: 10.3390/ijerph182312819

Table 1.

Sociodemographic characterization of individuals with type 1 diabetes during the COVID-19 pandemic in Brazil.

n (%) p-Value *
Sex
 Female 406 (86.0) <0.000
 Male 66 (14.0)
Age (years old)
 18–24 161(34.1) <0.000
 25–44 269 (57.0)
 ≥45 42 (8.9)
Macro-region <0.000
 North 33 (7.0)
 Northeast 97 (20.6)
 Midwest 37 (7.8)
 Southeast 222 (47.0)
 South 83 (17.6)
City
 State capital or metropolitan region 295 (62.5) <0.000
 State inland 177 (37.5)
District <0.000
 Favela or community 10 (2.1)
 Periphery 79 (16.7)
 Middle class 260 (55.1)
 Upper class 73 (15.5)
 Rural area 20 (4.2)
 None of the alternatives 30(6.4)
Perception of size of residence <0.000
 Excellent 215 (45.6)
 Good 193 (40.9)
 Regular 57 (12.1)
 Bad 6 (1.3)
 Terrible 1 (0.2)
Presence of open area in the residence
 Yes 339 (71.8) <0.000
 No 133 (28.2)
Schooling <0.000
 Elementary School 4 (0.8)
 High School 21 (4.4)
 Technician 75 (15.9)
 Undergraduate 135 (28.6)
 Postgraduate 237 (50.2)
Family income during social isolation <0.000
 <1 MW 19 (4.0)
 ≥1 and ≤2 MW 134 (28.4)
 ≥3 and <5 MW 153 (32.4)
 ≥5 and <10 MW 103 (21.8)
 ≥10 and <20 MW 46 (9.7)
 ≥20 MW 17 (3.6)
Impact on income during social isolation
 Decreased by more than half the usual salary 94 (19.9) <0.000
 Decreased less than half the usual salary 127 (26.9)
 Family income remained in the same range 239 (50.6)
 Family income increased 6 (1.3)
 There was no family income before the pandemic 6 (1.3)
Impact on employment during social isolation
 Continued working normally 286 (60.6) <0.000
 Became unemployed 71 (15.0)
 Was temporarily removed 96 (20.3)
 No one in the house was employed 19 (4.0)
Emergency Aid
 Yes 185 (39.25) <0.000
 No 287 (60.8)

* Chi-squared. Statistical significance; MW = minimum wage.