Skip to main content
. Author manuscript; available in PMC: 2012 Dec 18.
Published in final edited form as: Bipolar Disord. 2012 May 21;14(6):654–663. doi: 10.1111/j.1399-5618.2012.01025.x

Table 2.

Estimated parameter coefficients explaining age of onset with 2414 patients in 180 clustersa

Parameter Coefficient estimate 95% Wald confidence interval
Coefficient significance
Lower Upper Wald Chi-square p
Demographics
 Latitude −0.040 −0.170 0.090 0.367 0.545
 Gender (female) −0.406 −1.199 0.387 1.009 0.315
Monthly insolation values
 Maximum monthly insolation −1.268 −2.304 −0.231 5.743 0.017b
 Minimum monthly insolation −0.227 −1.645 1.191 0.098 0.754
 Monthly insolation range −1.168 −2.117 −0.218 5.811 0.016b
 Cumulative insolation for year −0.085 −0.199 0.029 2.126 0.145
 Mean monthly isolation −1.017 −2.385 0.350 2.126 0.145
 Mean winter insolation −0.067 −1.405 1.270 0.010 0.921
 Mean spring insolation −1.181 −2.395 0.033 3.633 0.057
 Mean summer insolation −1.125 −2.265 0.016 3.737 0.053
 Mean fall insolation −0.844 −2.131 0.444 1.649 0.199
 Insolation range mean summer - mean winter −1.265 −2.333 −0.197 5.393 0.020b
Monthly insolation changes
 Maximum monthly insolation increase −4.724 −8.124 −1.323 7.413 0.006b
 Maximum monthly insolation decrease 0.412 −4.360 5.183 0.029 0.866
 Percent maximum monthly insolation increase −0.048 −0.099 0.002 3.560 0.059
a

GEE model estimated age of onset using a constant, each country’s median age, and the listed parameter with an exchangeable correlation structure in each cluster. There was one degree of freedom for all models.

b

Significance < 0.05%.