Ordinal logistic regression odd ratio interpretation

[microdire27]

Hello,

I am a beginner when it comes to SAS and this is my first project using SAS. I want to make sure that my interpretation of the odd ratio is accurate. I attached the output of my analysis and I also captured the effects table.

Response variable = "Age appropriate sleep duration" is the Response variable and it is binary i.e Child sleeps recommended age appropriate hours or Child did not sleep age appropriate recommended hours

Predictors :

1) ADHD Severity with two levels:

a Mild

b Moderate/Severe

Analysis was stratified based on ADHD Severity

2) Read to with 3 levels

a) 0-3 days

b) 4-6 days

c) Every day.

Analysis of Maximum Likelihood Estimates
Parameter		HrsSleep_1617	Estimate	Standard Error	t Value	Pr > |t|
Intercept		Child sleeps recommended age-appropriate hours	0.3499	0.4741	0.74	0.4687
readto_1617	0 -3 days	Child sleeps recommended age-appropriate hours	-1.1681	0.6242	-1.87	0.0753
readto_1617	4-6 days	Child sleeps recommended age-appropriate hours	-1.1306	0.8286	-1.36	0.1869
NOTE: The degrees of freedom for the t tests is 21.

Odds Ratio Estimates
Effect	HrsSleep_1617	Point Estimate	95% Confidence Limits
readto_1617     0 -3 days vs Every day	Child sleeps recommended age-appropriate hours	0.311	0.085	1.139
readto_1617     4-6 days  vs Every day	Child sleeps recommended age-appropriate hours	0.323	0.058	1.809
NOTE: The degrees of freedom in computing the confidence limits is 21.

Interpretation: 

In children diagnosed with mild ADHD  the odds of child sleeps recommended age appropriate hours in children read to 0-3 days is 0.689 less compared to children read to everyday.

Is this interpretation accurate? Thank you for the anticipated response.

[Norman21]

You haven't shown the results of the test for the proportional odds assumption, which indicates whether you have a valid model. You might like to study the annotated output given here:

https://stats.idre.ucla.edu/sas/output/ordered-logistic-regression/