Table 1. Distribution of study member characteristics by socioeconomic status—Ribeirão Preto Cohort Study, 1978/79 and 2004/06.
| Socioeconomic statusa | n | Calorie intake mean (s.d.) | % Fat in diet mean (s.d.) | Birthweight mean (s.d.) | Alcohol consumption in the last month % | Smoking last month % | Physical activity % low activity |
|---|---|---|---|---|---|---|---|
| Women | |||||||
| Childhood | |||||||
| Low (1.6–2.4) | 315 | 1991 (675) | 35.5 (5.2) | 3152 (465) | 49.2 | 12.1 | 60.8 |
| Medium (3.2–4.4) | 275 | 1985 (675) | 36.2 (5.5) | 3226 (498) | 58.9 | 13.5 | 59.1 |
| High (6.4–12.8) | 268 | 1773 (518) | 36.4 (5.8) | 3237 (468) | 71.6 | 14.6 | 53.4 |
| P-value for trend | <0.001 | 0.092 | 0.067 | <0.001 | 0.674 | 0.373 | |
| Adulthood | |||||||
| Low (2.1–4.4) | 379 | 1977 (691) | 36.2 (5.6) | 3120 (485) | 48.8 | 14.3 | 60.7 |
| Medium (4.7–13.7) | 343 | 1881 (659) | 36.2 (5.5) | 3225 (486) | 59.2 | 11.7 | 57.9 |
| High (13.9–20) | 256 | 1795 (483) | 36.2 (5.6) | 3322 (442) | 74.6 | 14.8 | 51.4 |
| P-value for trend | 0.002 | 0.997 | <0.001 | <0.001 | 0.456 | 0.224 | |
| Men | |||||||
| Childhood | |||||||
| Low (1.6–2.4) | 268 | 2366 (677) | 35.8 (6.0) | 3239 (533) | 71.3 | 15.7 | 39.6 |
| Medium (3.2–4.4) | 293 | 2367 (700) | 35.9 (5.6) | 3353 (527) | 74.4 | 18.1 | 43.4 |
| High (6.4–12.8) | 273 | 2334 (833) | 36.6 (5.4) | 3435 (445) | 82.4 | 26.7 | 41.0 |
| P-value for trend | 0.833 | 0.220 | <0.001 | 0.007 | 0.003 | 0.906 | |
| Adulthood | |||||||
| Low (2.1–4.4) | 302 | 2370 (720) | 35.7 (6.0) | 3250 (542) | 71.2 | 20.9 | 43.9 |
| Medium (4.7–13.7) | 288 | 2362 (696) | 36.1 (5.6) | 3360 (497) | 75.0 | 18.1 | 40.3 |
| High (13.9–20) | 344 | 2327 (797) | 36.2 (5.4) | 3414 (466) | 81.4 | 20.6 | 39.5 |
| P-value for trend | 0.736 | 0.459 | <0.001 | 0.009 | 0.635 | 0.785 | |
Abbreviation: SES, socioeconomic status.
a
SES represented as tertiles of income calculated as multiples of the minimum wage. Figures in brackets for each tertile represent the 25th percentile and 75th percentile of the range of multiples of the minimum wage.