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. 2024 Jan 3;14:419. doi: 10.1038/s41598-023-50542-1

Table 1.

COVID-19 IMPACT study population characteristics per chronic disease status.

Disease status known Disease status imputed (N = 512) Overall (N = 5411)
No chronic disease (N = 3383) Chronic disease (N = 1516) P value
Age [year] 53.2 [24.0, 78.0] 58.7 [24.0, 78.1]  < 0.001 55.9 [23.1, 78.0] 55.0 [23.1, 78.1]
Sex, Female 1889 (55.8%) 766 (50.5%)  < 0.001 279 (54.5%) 2934 (54.2%)
BMI [kg/m2]* 24.2 [15.6, 30.0] 28.6 [16.1, 56.7]  < 0.001 25.6 [15.6, 56.7]
Urbanicity of residential area 0.558
 < 1000 addresses/km2 1501 (44.4%) 693 (45.7%) 252 (49.2%) 2446 (45.2%)
 > 1000 addresses/km2 1801 (53.2%) 800 (52.8%) 260 (50.8%) 2861 (52.9%)
Asthma or COPD 540 (35.6%) 540 (10.0%/11.0%)
Diabetes 215 (14.2%) 215 (3.9%/4.4%)
Cardiovascular disease 532 (35.1%) 532 (9.8%/10.9%)
Obese (BMI > 30) 645 (42.5%) 645 (11.9%/13.2%)
COVID-19 before or during study 592 (17.5%) 270 (17.8%) 0.823 56 (10.9%) 918 (17.0%)
Cohort  < 0.001
AMIGO 2016 (59.6%) 1082 (71.4%) 285 (55.7%) 3383 (62.5%)
PIAMA 632 (18.7%) 140 (9.2%) 76 (14.8%) 848 (15.7%)
VGO 735 (21.7%) 294 (19.4%) 151 (29.5%) 1180 (21.8%)

Data are presented as mean [range] or n (%). P-values: Wilcoxon or chi2 test comparing known disease status groups. Disease status was imputed if baseline age, sex and urbanicity were available. *BMI = mass(kg)/(height (m))2. Percentages calculated for the overall total, and participants with known disease status (N = 5411/N = 4899).