Skip to main content

Table 5 Two random-intercept logistic regression models showing the associations between OHIP item missingness and age, gender, and OHRQoL levels

From: Is assessment of oral health-related quality of life burdensome? An item nonresponse analysis of the oral health impact profile

Predictor variables Data collection without supervision Data collection with supervision
Participants from the general population in Sweden Participants from the general population and the patient population in Germany, Hungary, Japan, Slovenia, Sweden
Odds ratio (95% confidence interval)
Older age 5.47 (3.19–9.39) 1.70 (1.29–2.24)
Female gender 2.66 (1.59–4.45) 1.09 (0.84–1.42)
More OHRQoL impairment 1.34 (0.82–2.18) 2.65 (2.00–3.52)
Intercept 0.00 (0.00–0.00) 0.00 (0.00–0.00)