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. 2024 Jan 29;10:1329687. doi: 10.3389/fnut.2023.1329687

Table 3.

Logistic regression analysis to identify variables that modify the correlation between food insecurity and the prevalence of overactive bladder.

Variables (%) Fully adjusted model***
OR (95%CI) P for interaction
Food security Food insecurity
Age (years, mean ± SD) 0.002
20–34 (%) Ref 1.743 (1.365, 2.227)
35–49 (%) Ref 1.673 (1.312, 2.135)
50–64 (%) Ref 1.520 (1.288, 1.795)
≥65 (%) Ref 1.073 (0.868, 1.326)
BMI (kg/m2, mean ± SD) 0.024
<18.5 (%) Ref 1.208 (0.505, 2.891)
≥18.5 and < 25 (%) Ref 1.564 (1.170, 2.090)
≥25 and < 30 (%) Ref 1.171 (0.949, 1.445)
≥30 (%) Ref 1.712 (1.476, 1.987)
PIR (mean ± SD) 0.433
≤1.3 (%) Ref 1.470 (1.286, 1.681)
>1.3 and ≤ 3.5 (%) Ref 1.471 (1.193, 1.813)
>3.5 (%) Ref 2.090 (1.244, 3.512)
Gender 0.552
Female Ref 1.560 (1.316, 1.849)
Male Ref 1.454 (1.232, 1.715)
Race (%) 0.007
Mexican American Ref 1.132 (0.905, 1.416)
Non-Hispanic white Ref 1.610 (1.336, 1.940)
Non-Hispanic black Ref 1.666 (1.405, 1.975)
Other Hispanic Ref 1.162 (0.934, 1.446)
Other races Ref 1.709 (1.191, 2.453)
Education (%) 0.061
Less than 9th grade Ref 1.122 (0.873, 1.443)
9–11th grade Ref 1.702 (1.335, 2.169)
High school graduate Ref 1.438 (1.185, 1.745)
Some college Ref 1.589 (1.298, 1.945)
College graduate or above Ref 1.731 (1.191, 2.516)
Marital (%) 0.708
Married/Living with partner Ref 1.475 (1.246, 1.746)
Divorced/Separated/Widowed Ref 1.503 (1.253, 1.802)
Never married Ref 1.648 (1.291, 2.105)
Alcohol (%) 0.343
Never Ref 1.296 (1.003, 1.673)
Former Ref 1.439 (1.110, 1.866)
Now Ref 1.589 (1.367, 1.847)
Diabetes (%) 0.787
No Ref 1.506 (1.290, 1.758)
Pre-DM Ref 1.714 (1.186, 2.478)
Yes Ref 1.477 (1.195, 1.825)
Hypertension (%) 0.270
No Ref 1.411 (1.183, 1.684)
Yes Ref 1.621 (1.365, 1.925)
Smoking (%) 0.624
Never Ref 1.488 (1.246, 1.777)
Former Ref 1.669 (1.303, 2.139)
Now Ref 1.458 (1.211, 1.754)
CVD (%) 0.347
No Ref 1.484 (1.288, 1.710)
Yes Ref 1.701 (1.338, 2.161)
Cancer (%) 0.990
No Ref 1.516 (1.337, 1.719)
Yes Ref 1.520 (1.052, 2.195)

CI, confidence interval; OR, odds ratio. *Non-adjusted model adjusts for none. **Minimally adjusted model adjusts for age, race. ***Fully adjusted model adjusts for age, body mass index, poverty income ratio, gender, race, education, marital, alcohol, smoking, cardiovascular disease, diabetes, hypertension, cancer.