. 2020 Jul 22;10:12141. doi: 10.1038/s41598-020-69208-3

Table 2.

Diabetic status adjusted to sociodemographic and economic factors, combined H. pylori infection with BMI status of the study population using univariate and multivariate logistic regression analysis.

Variable	N	Diabetic n = 93	Non-diabetic n = 112	Univariate logistic regression		Multivariate logistic regression
Variable	N	Diabetic n = 93	Non-diabetic n = 112	OR (95% CI)	p value	OR (95% CI)	p value
Age ≥ 55 years
Yes	96	59 (54.13)	50 (45.87)	0.4647 (0.2679- 0.8676)	0.0079*	0.2714 (0.112–0.6575)	0.0039*
No	109	34 (35.42)	62 (64.58)	0.4647 (0.2679- 0.8676)	0.0079*	0.2714 (0.112–0.6575)	0.0039*
Gender
Female	127	61 (48.03)	66 (51.96)	1.329 (0.7514–2.349)	0.3864	0.5411 (0.2423–1.2087)	0.1342
Male	78	32(41.02)	46 (58.97)	1.329 (0.7514–2.349)	0.3864	0.5411 (0.2423–1.2087)	0.1342
Low Income level (2,500 $/month)
Yes	110	49 (44.55)	61 (55.45)	0.9311 (0.534–1.623)	0.8882	3.2972 (1.3254–8.2022)	0.0103*
No	95	44 (46.32)	51 (53.68)	0.9311 (0.534–1.623)	0.8882	3.2972 (1.3254–8.2022)	0.0103*
*H. pylori + ve*
BMI ≥ 25 kg/m²	114	52 (45.61)	28 (24.56)	3.6893 (1.7337–7.8506)	0.0007*	3.3289 (1.4898–7.4381)	0.0034*
BMI < 25 kg/m²	91	16 (17.58)	37 (40.66)	3.6893 (1.7337–7.8506)	0.0007*	3.3289 (1.4898–7.4381)	0.0034*

N or n: number, BMI: Body mass index, (95% CI): 95% confidence intervals, OR: Odd ratio.

*Significant.