Question

EPIDEMIOLOGY

5 c) Suppose that an investigator is concerned with adverse pregnancy outcomes including gestation diabetes,pre- eclampsia and pre-term labor. The study involved 8032 women who provided demographic and clinical data in the study sample,22 (2.7%) women developed pre-eclampsia ,35(4.2%) develop gestational diabetes and 40 (4.8%) develop pre-term labor.Suppose we wish to assess whether there are differences in each of these adverse pregnancy outcomes by race/ethnicity,adjusted for maternal age .Three separate logistic regression analyses were conducted relating each outcome,considered separately,to the three dummy or indicators variables reflecting mothers race and mothers`s age in years.The results are below.

Outcome Pre-eclampsia	Regression coefficient	Chi-square	p-value	Odds ratio (95% CI)
Intercept	-3.066	4.518	0.0335
Black race	2.191	12.640	0.0004	8.948 (2.673,29.949)
Hispanic race	-0.1053	0.0325	0.8570	0.9 ( 0.286,2.829)
Other race	0.0586	0.0021	0.9046	1.060(0.104,3.698)
Mother`s age	-0.0252	0.3574	0.5500	0.975(0.898,1.059)

Outcome Pre-eclampsia	Regression coefficient	Chi-square	p-value	Odds ratio (95% CI)
Intercept	-5.823	22.968	0.0001
Black race	1.621	6.660	0.0099	5.056(1.477,17.312)
Hispanic race	0.581	1.766	0.1839	1.787 (0.759,4.207)
Other race	1.34	5.197	0.015	3.848 (1.299,11.395)
Mother`s age	0.071	4.314	0.0378	1.073(1.004,1.147)

Outcome Pre-eclampsia	Regression coefficient	Chi-square	p-value	Odds ratio (95% CI)
Intercept	-1.443	1.602	0.2056
Black race	-0.082	0.015	0.9039	0.921(0.2443,3.483)
Hispanic race	-1.564	9.497	0.0021	0.209 (0.77,0.566)
Other race	0.548	1.124	0.2890	1.730 (0.628,4.767)
Mother`s age	-0.037	1.198	0.2737	0.963(0.901,1.030)

Interpret the results of the three separate logistic regression analysis

Answer 1

Model 1:

We comment all the model using the significant p-value

In the first model Back race has significant contribution in the prediction of the response

If we increase 1 unit in the black race then the probability of occurring the response is increased by the 2.19%.

Model 2:

We comment the entire model using the significant p-value

In the first model Back race, other race and mothers age have significant contribution in the prediction of the response

If we increase 1 unit in the black race then the probability of occurring the response is increased by the 1.62%.

If we increase 1 unit in the other race then the probability of occurring the response is increased by the 1.34%.

If we increase 1 unit in the mother age then the probability of occurring the response is increased by the 0.071%.

Model 3:

We comment all the model using the significant p-value

In the first model Back race has significant contribution in the prediction of the response

If we increase 1 unit in the black race then the probability of occurring the response is decreses by the 0.08%.

Thanks