Predictors of problems reported on the EQ-5D-3L dimensions among people with impaired vision in northern Portugal

Table 2 Summary of the logistic regression models for each dimension with significant predictors. In all models the reference category was “no problems”

Dimension	Predictor	Category	Odds Ratio	95% CI	p-value
Mobility*
“moderate” or	Sex	Females	1.77	1.10–2.83	0.018
“extreme”	Visual ability	–	0.37	0.31–0.44	< 0.001
Self-care*
“moderate” or “extreme”	Visual ability	–	0.37	0.30–0.46	< 0.001
Usual activities
“moderate”	Comorbidities	No comorbidities	2.29	1.38–3.79	< 0.001
	Visual ability		0.33	0.27–0.40	0.001
“extreme”	Comorbidities	No comorbidities	2.29	1.38–3.79	0.001
	Visual ability		0.23	0.14–0.38	< 0.001
Pain/discomfort
“moderate”	Age-Category	65 or less years	1.56	1.08–2.30	0.013
	Sex	Females	1.99	1.37–2.87	< 0.001
	Acuity	–	0.55	0.35–0.87	0.025
	Visual ability	–	0.62	0.55–0.69	0.001
“extreme”	Age-Category	65 or less years	1.56	1.08–2.30	0.013
	Sex	Females	1.99	1.37–2.87	< 0.001
	Acuity	–	0.55	0.35–0.87	0.025
	Visual ability	–	0.62	0.55–0.69	0.001
Anxiety/depression
“moderate”	Visual ability	–	0.50	0.47–0.56	< 0.001
“extreme”	Sex	Females	2.68	1.65–4.37	< 0.001
	Visual ability	–	0.50	0.47–0.56	< 0.001

*Owing to small number of responses with ‘‘extreme problems”, respondents with “moderate” and “extreme’’ were combined to calculate odds ratio for ‘‘problems’’. When the proportional odds assumption for scores was valid the odds ratio is the same for moderate and extreme responses as is, for example, the case for all predictors in Pain/Discomfort. See Additional file 1: S2 and S3 for further clarifications

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