Table 1.
Age and education level | Men
|
Women
|
||
---|---|---|---|---|
No. | Mean levels, ng/ml | No. | Mean levels, ng/ml | |
Age group, years | ||||
66–69 | 83 | 1006 ± 705 | 100 | 644 ± 449 |
70–74 | 60 | 821 ± 549 | 67 | 491 ± 251 |
75–79 | 77 | 745 ± 508 | 93 | 502 ± 374 |
≥80 | 46 | 696 ± 390 | 96 | 474 ± 381 |
Whole population | 835 ± 579 | 532 ± 385 | ||
Education | ||||
No schooling | 6 | 580 ± 244 | 15 | 513 ± 350 |
Primary with or without degree | 137 | 771 ± 546 | 209 | 523 ± 362 |
Secondary/university | 123 | 920 ± 616 | 132 | 550 ± 424 |
Number of men studied 266, women 356.
ANOVA shows a significant difference between men and women (P < 0.001) and for the four age classes in women (P = 0.03), but not for men (P = 0.06). Mean levels ± SD.