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Table 2 Donor and donation characteristics concerning fainting reactions

From: Machine learning-based prediction of fainting during blood donations using donor properties and weather data as features

 

All donations 228 846 (100%)

Donations without fainting 227,131 (99.25%)

Donations with fainting 1715 (0.75%)

Female

89,783 (39.2%)

88 876 (39.1%)

907 (52.9%)

Age (years)

40 ± 13

40 ± 13

26 ± 8

Height (cm)

174 ± 9

174 ± 9

172 ± 11

Weight (kg)

79 ± 16

79 ± 16

69 ± 16

BMI (kg/m2)

26 ± 4

26 ± 4

23 ± 3

Blood pressure (mmHg)

140/85

140/85

135/82

Body temperature (°C)

36.6 ± 0.4

36.6 ± 0.4

36.8 ± 0.4

Ambient temperature (°C)

12.6 ± 8.9

12.6 ± 8.9

12.4 ± 9.0

Dew point (°C)

6.4 ± 6.8

6.4 ± 6.8

6.4 ± 7.0

Humidity (%)

69 ± 17

69 ± 17

70 ± 17

Wind speed (km/h)

14 ± 9

14 ± 9

14 ± 9

Atmospheric pressure data (hPa)

1018 ± 8

1018 ± 8

1018 ± 9

Sunshine data (%)

48 ± 45

48 ± 45

48 ± 45

Blood group

 0

97 095 (42.4%)

96 368 (42.4%)

727 (42.5%)

 A

93 878 (41.0%)

93 211 (41.0%)

667 (38.9%)

 B

26 761 (11.7%)

26 540 (11.7%)

221 (12.9%)

 AB

10 803 (4.7%)

10 710 (4.7%)

93 (5.4%)

 No (valid) data

309 (0.1%)

302 (0.1%)

7 (0.4%)

Donation history

 First time

27 208 (11.9%)

26 129 (11.5%)

636 (37.1%)

 Repeat

201 592 (88.1%)

200 956 (88.5%)

1079 (62.9)

 No (valid) data donation

46 (0.0%)

46 (0.0%)

0 (0%)