27 August 2021 : Clinical Research
Demographic Characteristics and Lifestyle Habits of Chinese Plasma Donors: A Multicenter Study
Pan Sun1CDEF, Wei Zhang1CDEF, Xi Du1C, Liyuan Zhu1C, Jun Xu2B, Lu Cheng2B, Xuefeng Zhou2B, Zhihui Shi2B, Yeheng Liu2B, Tiandi Xie2B, Zhijun Liao3B, Liping Jessica Qin4B, Pengfei Zhang4B, Wu Su4B, Xingfei Zhang5B, Yong Lu1C, Qiongshu Wei1BC, Bin Liu
1C, Fengjuan Liu1C, Changqing Li1AG, Shengliang Ye1ADG*, Yamei Zhang6DEF, Li Ma1ADEG
DOI: 10.12659/MSM.931471
Med Sci Monit 2021; 27:e931471
Table 1 Characteristics of plasma donors in China, 2018 to 2019 (n=15 497).
| Variable | Number of plasma donors | % | Mean±SD |
|---|---|---|---|
| Male | 4572 | 29.5 | |
| Female | 10 925 | 70.5 | |
| 44.0±10.1 | |||
| 18–25 | 0 | 0.0 | |
| 26–35 | 775 | 5.0 | |
| 36–45 | 1581 | 10.2 | |
| 46–55 | 12 165 | 78.5 | |
| 56–60 | 976 | 6.3 | |
| Men | 169.5±6.2 | ||
| 150–160 | 480 | 10.5 | |
| 161–170 | 2290 | 50.1 | |
| 171–180 | 1755 | 38.4 | |
| >180 | 47 | 1.0 | |
| Women | 157.0±4.6 | ||
| 140–150 | 1180 | 10.8 | |
| 151–160 | 7647 | 70.0 | |
| 161–170 | 2065 | 18.9 | |
| >170 | 33 | 0.3 | |
| Men | 67.0±10.4 | ||
| 50–55 | 658 | 14.4 | |
| 56–65 | 1577 | 34.5 | |
| 66–75 | 1239 | 27.1 | |
| 76–85 | 914 | 20.0 | |
| 86–95 | 155 | 3.4 | |
| >96 | 29 | 0.6 | |
| Women | 60.0±8.3 | ||
| 45–50 | 1573 | 14.4 | |
| 51–55 | 2349 | 21.5 | |
| 56–60 | 1682 | 15.4 | |
| 61–65 | 2567 | 23.5 | |
| 66–70 | 1486 | 13.6 | |
| 71–75 | 262 | 2.4 | |
| 76–80 | 262 | 2.4 | |
| >81 | 744 | 6.8 | |
| Men | 26.9±8.2 | ||
| 18.5 to <24.9 | 1861 | 40.7 | |
| 24.9–29.9 | 1929 | 42.2 | |
| ≥30 to <35 | 672 | 14.7 | |
| ≥35 | 110 | 2.5 | |
| Women | 26.2±3.7 | ||
| 18.5 to <24.9 | 4304 | 39.4 | |
| 24.9–29.9 | 4730 | 43.3 | |
| ≥30 to <35 | 1639 | 15.0 | |
| ≥35 | 252 | 2.3 | |
| Urban | 543 | 11.2 | |
| Men | 401 | 73.8 | |
| Women | 142 | 26.2 | |
| Rural | 4304 | 88.8 | |
| Men | 932 | 21.7 | |
| Women | 3372 | 78.3 | |
| Farmer | 4304 | 88.8 | |
| Men | 2186 | 40.8 | |
| Women | 2118 | 49.2 | |
| Laborer | 107 | 2.2 | |
| Men | 101 | 94.4 | |
| Women | 6 | 5.6 | |
| Business | 78 | 1.6 | |
| Men | 66 | 84.6 | |
| Women | 12 | 15.4 | |
| Service industry | 107 | 2.2 | |
| Men | 36 | 33.6 | |
| Women | 71 | 66.4 | |
| Professional | 9 | 0.2 | |
| Men | 8 | 88.9 | |
| Women | 1 | 11.1 | |
| Other | 242 | 5.0 | |
| Men | 120 | 49.6 | |
| Women | 122 | 50.4 | |
| <1 | 1659 | 10.7 | |
| 1–2 | 1596 | 10.3 | |
| 3–5 | 2944 | 19.0 | |
| >5 | 9298 | 60.0 | |
| SD – standard deviation. | |||