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. 2023 Nov 16;29(8):825–835. doi: 10.1177/13591053231208531

Table 1.

Descriptive statistics and intercorrelations between predictor variables.

Descriptive statistics 1 2 3 4 5 6 7 8
(1) Age M = 38.21
SD = 14.45
(2) Sex Female n = 496 (66.49%) −0.08*
Male n = 250 (33.51%)
(3) Blood donor status Not donated n = 457 (60.45%) 0.12*** −0.06
Donated n = 299 (39.55%)
(4) Bodily integrity M = 2.88 −0.09* −0.16*** −0.12**
SD = 1.79
(5) Medical mistrust M = 3.08 −0.15*** −0.11** −0.04 0.57***
SD = 1.55
(6) Ick factor M = 2.87 −0.14*** −0.14*** −0.05 0.72*** 0.68***
SD = 1.70
(7) Jinx M = 2.73 −0.22*** −0.17*** −0.01 0.59*** 0.68*** 0.70***
SD = 1.54
(8) Perceived benefits M = 5.36 0.16*** 0.18*** 0.04 −0.42*** −0.21*** −0.37*** −0.28***
SD = 1.37

The coding for the sex variable was male = 0 and female = 1. The coding for the blood donor status was not donated blood = 0 and donated blood = 1. For continuous variables, the descriptive statistics refers to the variable’s mean (M) and standard deviation (SD). For categorical variables, the descriptive statistics refer to the number and percentage of people within each category (percentages for gender do not include missing data).

*

p < 0.05. **p < 0.01. ***p < 0.001.