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Table 5 Multivariable logistic regressiona analyses of Type 2 Diabetes Mellitusb and Metabolic Syndromec in adults in San Quintin, Baja California, Mexico – 2013-2014 (n = 275)

From: Prevalence and correlates of diabetes and metabolic syndrome in a rural indigenous community in Baja California, Mexico

 

Type 2 Diabetes Mellitusb

Metabolic Syndromec

 

Full Model

Final Model

Full Model

Final Model

Characteristic

OR (95% CI)

p-value*

OR (95% CI)

p-value*

OR (95% CI)

p-value*

OR (95% CI)

p-value*

Age

1.05 (1.02, 1.08)

0.0002

1.05 (1.03, 1.07)

< 0.0001

1.06 (1.03, 1.09)

< 0.0001

1.06 (1.03, 1.08)

< 0.0001

Womend

1.25 (0.59, 2.66)

0.567

2.27 (1.23, 4.20)

0.009

2.27 (1.23, 4.14)

0.009

≥6 y of schooling (Elementary)e

0.42 (0.20, 0.88)

0.005

0.39 (0.20, 0.77)

0.007

0.59 (0.33, 1.00)

0.051

0.62 (0.37, 0.94)

0.050

Literatef

0.84 (0.38, 1.85)

0.665

1.11 (0.50, 2.42)

0.798

Born in Oaxacag

N/A

0.62 (0.31, 1.25)

0.385

Born in BCg

N/A

0.65 (0.26, 1.62)

0.644

   

GOF

0.801

  

GOF

0.323

  1. Abbreviations: y years, BC Baja California, OR odds ratio, CI confidence interval, GOF Goodness of Fit Test, -- not included in the final model
  2. aLogistic regression modeling, presenting odds ratio and 95% confidence interval
  3. bType 2 Diabetes Mellitus was defined as a glycated hemoglobin A1c ≥6.5%, according to the American Diabetes Association criteria
  4. cMetabolic Syndrome was defined following the International Diabetes Federation criteria: Ethnic-specific central obesity as waist circumference ≥ 90 cm in men and ≥ 80 cm in women for this population, plus any two of the following: elevated triglycerides ≥1.7 mmol/L; reduced HDL-cholesterol < 1.03 mmol/L in men and < 1.20 mmol/L in women; elevated blood pressure as systolic blood pressure ≥ 130 mmHg or diastolic blood pressure ≥ 85 mmHg; and previously diagnosed Type 2 Diabetes Mellitus
  5. dReference: Men
  6. eReference: <6 y of schooling (No Elementary)
  7. fReference: Illiterate
  8. gReference: Other
  9. *P values calculated by logistic regression modeling, adjusted for all other listed variables in each of the models (full and final). Significant values (p < 0.05) are shown in bold text