27 August 2021: Clinical Research
Demographic Characteristics and Lifestyle Habits of Chinese Plasma Donors: A Multicenter Study
Pan Sun 1CDEF* , Wei Zhang 1CDEF* , Xi Du 1C , Liyuan Zhu 1C , Jun Xu 2B , Lu Cheng 2B , Xuefeng Zhou 2B , Zhihui Shi 2B , Yeheng Liu 2B , Tiandi Xie 2B , Zhijun Liao 3B , Liping Jessica Qin 4B , Pengfei Zhang 4B , Wu Su 4B , Xingfei Zhang 5B , Yong Lu 1C , Qiongshu Wei 1BC , Bin Liu 1C , Fengjuan Liu 1C , Changqing Li 1AG , Shengliang Ye 1ADG* , Yamei Zhang 6DEF* , Li Ma 1ADEG*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 | 1861 | 40.7 | |
| 24.9–29.9 | 1929 | 42.2 | |
| ≥30 to | 672 | 14.7 | |
| ≥35 | 110 | 2.5 | |
| Women | 26.2±3.7 | ||
| 18.5 to | 4304 | 39.4 | |
| 24.9–29.9 | 4730 | 43.3 | |
| ≥30 to | 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 | |
| 1659 | 10.7 | ||
| 1–2 | 1596 | 10.3 | |
| 3–5 | 2944 | 19.0 | |
| >5 | 9298 | 60.0 | |
| SD – standard deviation. | |||