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International Journal of
            Population Studies                                                   COVID-19 and intersectionality in Brazil




            Table 1. Study sample characteristics, bivariate analysis, and model fit, comparing target independent variables and the dependent
            variable (lack of diagnostic testing) in individuals with SARS during the COVID‑19 pandemic in Brazil, 2020 (n=179,295)
            Variables                  Distribution                          No diagnostic test
                                 n          % (95% CI)       cOR (95% CI)     p       aOR (95%CI)*      p
            Race and gender
             White males        46,263   22.80 (25.60 – 26.00)  1.0                       1.0
             White females      40,501   22.59 (22.40 – 22.78)  1.10 (1.00 – 1.20)  0.050  1.12 (0.98 – 1.28)  0.086
             Black males        40,595   22.64 (22.45 – 22.84)  2.52 (2.34 – 2.72)  <0.001  2.38 (2.13 – 2.66)  <0.001
             Black females      51,936   28.97 (28.76 – 29.18)  2.49 (2.30 – 2.69)  <0.001  2.52 (2.24 – 2.83)  <0.001
            Education
             Higher education   11,919    6.65 (6.53 – 6.76)    1.0                       1.0
             Primary school     43,696   24.37 (24.17 – 24.57)  1.38 (1.22 – 1.55)  <0.001  1.26 (1.03 – 1.53)  0.019
             Secondary school   25,022   13.96 (13.80 – 14.11)  1.14 (1.00 – 1.29)  0.052  1.16 (0.94 – 1.42)  0.166
             Not applicable     6,612     3.69 (3.60 – 3.78)  1.20 (1.01 – 1.43)  0.036  1.79 (1.37 – 2.34)  <0.001
             Unknown            92,046   51.34 (51.11 – 51.57)  1.33 (1.19 – 1.50)  <0.001  1.34 (1.11 – 1.62)  0.002
            Age (years)**
             <10                9,661     5.39 (5.28 – 5.49)    1.0
             10 – 19            4,045     2.26 (2.19 – 2.32)  1.00 (0.81 – 1.21)  0.923
             20 – 29            9,860     5.50 (5.39 – 5.60)  0.86 (0.73 – 1.01)  0.064
             30 – 39            18,728   10.45 (10.30 – 10.59)  0.91 (0.79 – 1.04)  0.168
             40 – 49            23,582   13.15 (13.00 – 13.31)  0.92 (0.81 – 1.05)  0.244
             50 – 59            28,220   15.74 (15.57 – 15.91)  1.04 (0.91 – 1.18)  0.567
             60 – 69            31,356   17.49 (17.31–17.66)  1.04 (0.92 – 1.18)  0.517
             70 – 79            28,073   15.66 (15.49 – 15.83)  1.18 (1.04 – 1.34)  0.009
             ≥80                25,770   14.37 (14.21 – 14.54)  1.18 (1.00 – 1.35)  0.008
            Region of residence
             Urban             158,515   94.97 (94.86 – 95.07)  1.0
             Rural/peri-urban   8,401     5.03 (4.93 – 5.14)  1.42 (1.28 – 1.58)  <0.001
            Chest X-ray
             Normal             8,859     7.42 (7.27 – 7.57)    1.0
             Abnormal           79,053   66.21 (65.94 – 66.48)  0.88 (0.78 – 1.01)  0.066
             None               31,484   26.37 (26.12 – 26.62)  1.49 (1.31 – 1.71)
            Risk group
             Unrecord           55,608   31.01 (30.80 – 31.23)  1.0
             Record            123,687   68.99 (68.77 – 69.20)  1.07 (1.01 – 1.13)  0.012
            Hospitalization
             Unrecord           15,431    8.61 (8.48 – 8.73)    1.0
             Record            163,864   91.39 (91.26 – 91.52)  0.45 (0.42 – 0.48)  <0.001
            ICU hospitalization
             Unrecord          104,924   69.60 (69.36 – 69.83)  1.0
             Record             45,835   30.40 (30.17 – 30.63)  0.67 (0.63 – 0.72)  <0.001
            Ventilatory support
             Unrecord           57,753   37.67 (37.43 – 37.91)  1.0
             Record             95,555   62.33 (62.08 – 62.57)  0.84 (0.78 – 0.88)  <0.001
            Note: *aOR: Odds ratio adjusted for all variables in the conceptual framework. **The cOR (crude odds ratio) for the age variable in its continuous
            numerical form was 1.004 (95% CI: 1.003 – 1.005; P<0.001). It is noteworthy that the adjusted model used the continuous numerical form of the age
            variable. SARS: Severe acute respiratory syndrome.

            Volume 9 Issue 2 (2023)                         30                        https://doi.org/10.36922/ijps.0865
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