Table 3.
Piecewise logistic regression primary model resultsa
Study | Sample size | Parameter estimate | s.e. | 95% CI (bootstrapped) |
---|---|---|---|---|
NHIS 1997 | ||||
BMI slope (low)b | 19,727 | −0.151 | 0.115 | (−1.235, −0.017) |
Knot 1c | 18.97 | 2.236 | (16.45, 20.30) | |
BMI slope (mid)b | 0.041 | 0.093 | (0.033, 0.049) | |
Knot 2 | 35.08 | 4.212 | (32.74, 48.91) | |
BMI slope (high)b | −0.003 | 0.019 | (−0.061, 0.016) | |
NHIS 1998 | ||||
BMI slope | 17,355 | 0.027 | 0.004 | (0.021, 0.032) |
NHIS 1999 | ||||
BMI slope (low) | 16,704 | −0.056 | 0.063 | (−0.137, 0.015) |
Knot | 20.19 | 3.219 | (18.83, 22.17) | |
BMI slope (high) | 0.030 | 0.020 | (0.025, 0.036) | |
NHIS 2000 | ||||
BMI slope | 17,298 | 0.034 | 0.003 | (0.030, 0.039) |
NHIS 2001 | ||||
BMI slope | 17,666 | 0.029 | 0.003 | (0.024, 0.033) |
NHIS 2002 | ||||
BMI slope | 16,280 | 0.031 | 0.004 | (0.025, 0.036) |
NHIS 2003 | ||||
BMI slope (low) | 16,230 | −0.102 | 0.130 | (−1.030, 0.020) |
Knot | 19.61 | 3.471 | (18.04, 21.72) | |
BMI slope (high) | 0.039 | 0.010 | (0.033, 0.044) | |
ACHS | ||||
BMI slope (low) | 3,647 | −0.157 | 0.155 | (−0.333, 0.018) |
Knot | 19.42 | 2.087 | (18.21, 22.45) | |
BMI slope (high) | 0.032 | 0.013 | (0.010, 0.052) | |
TCHSd | ||||
BMI slope | 2,397 | 0.022 | 0.009 | (0.005, 0.038) |
NHANES Ie | ||||
BMI slope | 10,113 | 0.013 | 0.012 | (−0.016, 0.032) |
WHI | ||||
BMI slope | 82,953 | 0.000 | 0.002 | (−0.004, 0.004) |
Adjusted for age, race, and smoking status;
BMI was divided into 1, 2, or 3 contiguous segments (depending on the number of knots in the model—0, 1, or 2, respectively) and will have an estimate of the linear rate of change in log odds of headache per segment: low, mid, high;
Knots were entered into the model and retained only if they contributed significantly to model fit at significance level 0.05;
100% white;
Employment status for men only and not adjusted for smoking as nearly 60% of records are missing that data.