Table 1.
Summary of results.
| variable | men |
women |
||||
|---|---|---|---|---|---|---|
| effect of heighta | optimum (CI95)b | effect size (min–max)c | effect of heighta | optimum (CI95)b | effect size (min–max)c | |
| ever-born children | curvilinear | 1.016 (0.504, 2.242) | 11.6% (2.14–2.39) | quadratic | −0.081 (−1.163, 0.768) | 3.0% (2.29–2.35) |
| ever-born with controlsd | curvilinear | 0.630 (0.060, 2.224) | 7.3% (2.20–2.36) | quadratic | −0.139 (−0.990, 0.585) | 3.8% (2.27–2.35) |
| no. children after firstborn | no effect | 2.7% (2.47–2.54) | no effect | 1.1% (2.50–2.53) | ||
| ever had child | curvilinear | 1.265 (0.688, 2.803) | 4.5% (0.89–0.93) | quadratic | −0.388 (−1.420, 0.194) | 1.5% (0.92–0.93) |
| ever had 2nd child | positive | 2.9% (0.92–0.95) | no effect | 0.6% (0.93–0.93) | ||
| proportion surviving | no effect | curvilinear | 1.811 (0.421, 6.692) | 0.7% (0.98–0.99) | ||
| surviving children | curvilinear | 0.996 (0.506, 2.146) | 12% (2.11–2.36) | quadratic | 0.058 (−0.493, 0.601) | 3.8% (2.24–2.33) |
| has current partner | curvilinear | 1.808 (0.381, 10.951) | 2.4% (0.93–0.96) | quadratic | −0.354 (−1.297, 0.153) | 2.5% (0.86–0.88) |
| ever had partner | curvilinear | 1.188 (0.423, 3.934) | 1.1% (0.97–0.99) | curvilinear | −0.772 (−2.419, −0.204) | 1.1% (0.97–0.98) |
| age in relationship | curvilinear | −0.582 (−2.202, −0.0001) | 2.8% (26.76–27.50) | quadratic | −0.759 (−5.692, 2.399)e | 2.0% (24.55–25.05) |
| no. children with current partner given age when in relationshipf | positive | 7.4% (2.05–2.20) | positive | 6.7% (2.19–2.33) | ||
| age at first birth | curvilinear | −0.771 (−4.685, 0.175) | 1.4% (27.46–27.84) | curvilinear | −3.452 (−14.495, −1.730) | 4.8% (24.25–25.40) |
| age at last birth | no effect | 0.9% (32.31–32.60) | curvilinear | −2.705 (−10.120, −1.351) | 3.3% (29.25–30.22) | |
| time until birth child since onset relationshipf | no effect | 4.2% (3.74–3.90) | positive | 16.9% (3.04–3.55) | ||
| age at menses | positive | 5.3% (12.87–13.55) | ||||
| age at menopause | positive | 1.2% (49.36–49.95) | ||||
| reproductive spang | no effect | 0.1% (36.42–36.47) | ||||
aThe effect of height on the dependent variable. ‘Curvilinear’ indicates a nonlinear pattern with an optimum significantly different from the average height (with both the estimates of height and height2
significant), whereas ‘quadratic’ refers to a nonlinear pattern with an optimum around average height (with only height2 significant).
bConfidence interval determined through simulating the data (see text).
cOur measure of the size of the effect; smallest (minimum) and largest (maximum) predicted value within −2 and +2 standard deviations of the height range; the percentage reflects maximum/minimum.
This is not a ‘traditional’ effect size.
dControlled for education, health and income.
eThe effect of height is weak and marginally significant, which is why the optimum cannot be established very accurately.
fThis ‘effect size’ was established for the median age in the relationship (22 for women, 25 for men).
gDifference between age at menses and age at menopause.