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Table 2 Logistic regression model comparing the influence of various clinical features on the likelihood of having any skin tags versus none, in patients with morbid obesity

From: Cross-sectional study of the association between skin tags and vascular risk factors in a bariatric clinic-based cohort of Irish adults with morbid obesity

VariableBeta (logit)S.E.Exp (Beta)95% CIp-value
Sex2.0331.0607.636[0.957, 60.939]0.055
Age0.050.0271.051[0.997, 1.109]0.067
Diabetes status1.5150.7914.55[0.966, 21.439]0.055
Diabetes statusa1.3570.8083.883[0.797, 18.906]0.093
Hypertension status1.7070.7905.511[1.171, 25.929]0.031#
Hypertension statusa1.3160.8223.728[0.745, 18.666]0.109
SBP0.0730.0261.075[1.022, 1.132]0.005#
SBPa0.0640.0261.066[1.013, 1.122]0.014#
HbA1c0.1070.051.113[1.01, 1.227]0.031#
HbA1ca0.0820.0481.086[0.988, 1.194]0.089
THDLR0.3760.3381.457[0.752, 2.824]0.265
THDLRa0.2710.3131.311[0.71, 2.418]0.387
  1. Beta is the logit or estimated log odds of having any skin tags for every one unit rise in the variable measure
  2. Exp (B) is the exponential of Beta. (So for example for every mmHg rise in systolic blood pressure, there is a 7.5% increased likelihood of having skin tags)
  3. S.E standard error for Beta, CI confidence interval, SBP systolic blood pressure, THDLR triglyceride: HDL-cholesterol ratio
  4. aAdjusted for age and sex
  5. #p-value < 0.05