Table 4.
Piecewise logistic regression extended model resultsa
Study | Sample size | Parameter estimate | s.e. | 95% CI (bootstrapped) |
---|---|---|---|---|
NHIS 1997 | ||||
BMI Slope (low)b | 18,480 | −0.068 | 0.093 | (−0.224, 0.046) |
Knot 1c | 20.04 | 1.794 | (17.44, 23.23) | |
BMI Slope (mid)b | 0.051 | 0.130 | (0.029, 0.125) | |
Knot 2 | 26.38 | 6.897 | (10.71, 35.82) | |
BMI Slope (high)b | 0.017 | 0.036 | (0.006, 0.030 | |
NHIS 1998 | ||||
BMI Slope | 16,132 | 0.020 | 0.004 | (0.014, 0.026) |
NHIS 1999 | ||||
BMI Slope (low) | 15,421 | −0.062 | 0.098 | (−0.898, −0.004) |
Knot | 20.19 | 5.497 | (12.30, 22.28) | |
BMI Slope (high) | 0.024 | 0.061 | (0.019, 0.032) | |
NHIS 2000 | ||||
BMI Slope | 16,205 | 0.029 | 0.003 | (0.024, 0.033) |
NHIS 2001 | ||||
BMI Slope | 16,429 | 0.023 | 0.003 | (0.018, 0.028) |
NHIS 2002 | ||||
BMI Slope | 15,077 | 0.024 | 0.004 | (0.018, 0.031) |
NHIS 2003 | ||||
BMI Slope (low) | 14,985 | −0.096 | 0.151 | (−0.809, 0.040) |
Knot | 19.57 | 2.956 | (17.73, 22.34) | |
BMI Slope (high) | 0.033 | 0.011 | (0.028, 0.039) | |
ACHS | ||||
BMI Slope (low) | 3,397 | −0.146 | 0.198 | (−0.441, 0.042) |
Knot | 19.46 | 3.139 | (17.43, 23.81) | |
BMI Slope (high) | 0.013 | 0.110 | (−0.011, 0.037) | |
TCHSd | ||||
BMI Slope | 1,624 | 0.027 | 0.011 | (0.006, 0.049) |
NHANES Ie | ||||
BMI Slope | 7,427 | −0.015 | 0.015 | (−0.048, 0.014) |
WHI | ||||
BMI Slope | 82,423 | −0.009 | 0.002 | (−0.013, −0.005) |
NHANES I, First National Health and Nutrition Examination Survey; NHIS, National Health Interview Survey; TCHS, Tecumseh Community Health Study; WHI, Women’s Health Initiative.
Adjusted for age, race, smoking status, alcohol consumption, hypertension, and SES variables;
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;
Extended models were fit with the same number of knots as the primary model;
100% whites;
Employment status for men only and not adjusted for smoking as ~60% of records are missing that data.