Table 2.
Demographic and socio-economic characteristics of participants and average scores of reproductive health literacy
| Total n (%) | High school student n (%) | Score Mean ± SD | F/t (P) | College student n (%) | Score Mean ± SD | F/t (P) | |
|---|---|---|---|---|---|---|---|
| Gender | 1587 | 960 | 10.661 (0.001)a | 627 | 6.122 (0.013)a | ||
| Male | 791 (49.8) | 479 (49.9) | 59.87 ± 16.21 | 312 (49.8) | 58.30 ± 18.83 | ||
| Female | 796 (50.2) | 481 (50.1) | 63.15 ± 13.72 | 315 (50.2) | 62.46 ± 14.80 | ||
| Age | 1564 | 942 | 0.022 (0.883) | 622 | 1.982 (1.139) | ||
| 16 ~ 18 | 945 (60.4) | 932 (98.9) | 61.53 ± 15.14 | 13 (2.1) | 62.10 ± 10.61 | ||
| 19 ~ 21 | 540 (34.5) | 10 (1.1) | 62.23 ± 8.04 | 530 (85.2) | 60.84 ± 17.20 | ||
| 22 and above | 79 (5.1) | – | – | 79 (12.7) | 56.84 ± 16.07 | ||
| Place of household registration | 1576 | 958 | 0.308 (0.579) | 618 | 1.637 (0.201) | ||
| Shanghai | 1124 (71.3) | 859 (89.7) | 61.48 ± 15.17 | 265 (42.9) | 59.44 ± 15.92 | ||
| Other provinces | 452 (28.7) | 99 (10.3) | 62.36 ± 13.99 | 353 (57.1) | 61.22 ± 17.97 | ||
| Living area before age of 7 | 1575 | 952 | 1.825 (0.141) | 623 | 1.475 (0.220) | ||
| Big cities | 916 (58.2) | 667 (70.1) | 62.31 ± 17.94 | 249 (40.0) | 59.19 ± 17.89 | ||
| Medium and small cities | 338 (21.5) | 119 (12.5) | 60.17 ± 16.17 | 219 (35.2) | 62.04 ± 17.06 | ||
| Towns and outskirts | 255 (16.2) | 156 (16.4) | 59.55 ± 14.49 | 99 (15.9) | 61.34 ± 14.61 | ||
| Countryside | 66 (4.2) | 10 (1.1) | 61.19 ± 15.88 | 56 (9.0) | 58.28 ± 17.16 | ||
| Living area during junior and high school age | 1572 | 951 | 2.324 (0.074) | 621 | 4.268 (0.005) | ||
| Big cities | 962 (60.6) | 701 (73.7) | 62.32 ± 14.97 | 261 (42.0) | 60.70 ± 17.03 | ||
| Medium and small cities | 370 (23.3) | 122 (12.8) | 59.39 ± 15.48 | 248 (39.9) | 61.25 ± 16.93 | ||
| Towns and outskirts | 212 (13.4) | 123 (12.9) | 59.43 ± 15.13 | 89 (14.3) | 60.76 ± 15.60 | ||
| Countryside | 28 (1.8) | 5 (0.5) | 64.31 ± 13.25 | 23 (3.7) | 48.13 ± 20.77 | ||
| Family monthly income per capita (in RMB) | 1556 | 951 | 0.443 (0.777) | 605 | 5.515 (0.272) a | ||
| < 1500 | 40 (2.6) | 10 (1.1) | 57.77 ± 15.21 | 30 (5.0) | 59.97 ± 13.29 | ||
| 1500 ~ 4500 | 299 (19.2) | 184 (19.3) | 61.06 ± 15.08 | 115 (19.0) | 62.83 ± 16.20 | ||
| 4500 ~ 7500 | 544 (35.0) | 335 (35.2) | 61.40 ± 14.80 | 209 (34.5) | 60.51 ± 15.19 | ||
| 7500 ~ 12,500 | 438 (28.1) | 281 (29.5) | 62.17 ± 14.66 | 157 (26.0) | 59.27 ± 17.71 | ||
| > 12,500 | 235 (15.1) | 141 (14.8) | 62.43 ± 15.58 | 94 (15.5) | 60.42 ± 19.84 | ||
| Family socio-economic status* | 1582 | 958 | 2.455 (0.117) | 624 | 0.412 (0.512) | ||
| High (Green score > Median) | 786 (49.7) | 473 (49.4) | 62.34 ± 14.57 | 313 (50.2) | 60.90 ± 17.20 | ||
| Low (Green score ≤ Median) | 796 (50.3) | 485 (50.6) | 60.81 ± 15.48 | 311(49.8) | 60.02 ± 16.92 |
aNon-parametric tests (Mann–Whitney U test or Kruskal–Wallis test). *Family socio-economic status was determined by Green score [23], which was calculated based on maternal and paternal occupation and education. Green score = (paternal education × 0.7 + paternal occupation × 0.4 + maternal education × 0.7 + maternal occupation × 0.4)/2