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Table 3 The association between TyG-BMI and ischemic stroke by multivariate logistic regression analysis

From: Estimate of prevalent ischemic stroke from triglyceride glucose-body mass index in the general population

TyG-BMI

Sensitive analysis

Mode 1 OR (95% CI)

P value

Mode 2 OR (95% CI)

P value

Mode 3 OR (95% CI)

P value

Mode 4 OR (95% CI)

P value

NSSIPL (N = 10,862)

 Continuous

  Per SD increase

1.20 (1.10–1.32)

< 0.001

1.16 (1.06–1.27)

0.002

1.20 (1.07–1.36)

0.003

1.07 (0.93–1.23)

0.324

 Categorical

  Low

1

–

1

–

1

–

1

–

  Intermediated

1.39 (1.10–1.74)

0.005

1.34 (1.07–1.69)

0.012

1.44 (1.12–1.85)

0.004

1.30 (1.01–1.68)

0.044

  High

1.72 (1.37–2.17)

< 0.001

1.58 (1.25–2.01)

< 0.001

1.89 (1.35–2.64)

< 0.001

1.48 (1.03–2.13)

0.033

NCRCHS (N = 11,097)

 Continuous

  Per SD increase

1.21 (1.07–1.36)

0.002

1.17 (1.03–1.33)

0.015

1.25 (1.06–1.48)

0.008

1.13 (0.96–1.35)

0.170

 Categorical

  Low

1

–

1

–

1

–

1

–

  Intermediated

1.22 (0.88–1.71)

0.240

1.21 (0.87–1.69)

0.262

1.37 (0.97–1.95)

0.076

1.29 (0.91–1.83)

0.152

  High

1.84 (1.32–2.56)

< 0.001

1.75 (1.25–2.45)

0.001

2.58 (1.62–4.13)

< 0.001

2.12 (1.32–3.41)

0.002

  1. Model 1: Adjusting for age, sex, education, regular exercise, current smoking, current drinking, atrial fibrillation, hypertension, coronary heart disease, LDL-C, HDL-C
  2. Model 2: Adjusting for all risk the factors in model 1 and diabetes
  3. Model 3: Adjusting for all risk the factors in model 1 and overweight or obesity
  4. Model 4: Adjusting for age, sex, education, regular exercise, current smoking, current drinking, atrial fibrillation, hypertension, coronary heart disease, overweight or obesity and dyslipidemia
  5. OR odds ratio, CI confidence interval, SD standard deviation, NSSIPL National Stroke Screening and Intervention Program in Liaoning; NCRCHS Northeast China Rural Cardiovascular Health Study