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. 2024 Dec 19;12(24):2558. doi: 10.3390/healthcare12242558

Table 4.

The relationship between demographic factors and incorrect perception using univariate and multivariable ordinal logistic regression.

Predictors Univariate Analysis Multivariable Analysis
COR COR 95% Confidence Interval p-Value AOR AOR 95% Confidence Interval p-Value
Lower Higher Lower Higher
Age:
26–35–≤25 0.781 0.537 1.13 0.193 0.826 0.538 1.27 0.381
36–50–≤25 0.834 0.537 1.29 0.419 0.769 0.438 1.34 0.357
>50–≤25 0.549 0.243 1.24 0.15 0.577 0.233 1.43 0.235
Gender:
Female—Male 1.67 1.22 2.29 0.001 * 1.655 1.204 2.28 0.002 *
Marital:
Married—Single 0.895 0.663 1.21 0.468 1.069 0.706 1.62 0.751
Education:
Less than Bachelor—Non-Educated 1.61 0.28 9.33 0.591 1.649 0.281 9.7 0.579
Bachelor—Non-Educated 1.49 0.263 8.47 0.65 1.455 0.252 8.41 0.673
Postgraduate—Non-Educated 1 0.158 6.31 1 1.077 0.168 6.89 0.938
Socioeconomic:
Average—Below Average 1.18 0.638 2.21 0.593 1.249 0.669 2.34 0.486
Above Average—Below Average 1.25 0.638 2.44 0.52 1.403 0.713 2.77 0.328

* Significant, COR = Crude Odd Ratio, AOR = Adjusted Odd Ratio (N = 209).