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Table 5 Stepwise logistic regression analyses to evaluate relationships between research variables and the prevalence of IHG/DM

From: Current health status and its risk factors of the Tsarang villagers living at high altitude in the Mustang district of Nepal

Variables Crude Adjusted
OR 95% CI P value OR 95% CI P value
Age 1.1111 1.0736–1.1562 < 0.0001 1.1128 1.0631–1.1647 < 0.0001
BMI 1.0537 0.9499–1.1703 0.3220 1.2596 1.0811–1.4675 0.0031
SpO2
 ≥ 90% Ref    Ref   
 < 90% (hypoxemia) 7.9222 3.4488–19.3937 < 0.0001 3.5769 1.1983–10.6775 0.0224
Hb concentration 1.2370 1.0200–1.5150 0.0339 1.3093 0.9845–1.7412 0.0634
SBP 0.9999 0.9813–1.0182 0.9920 0.9778 0.9532–1.0030 0.0832
Marital status
 Currently Ref    Ref   
 Not currently 1.9397 0.9513–3.9548 0.0673 2.7168 1.0009–7.3741 0.0498
Sex
 Male Ref      
 Female 1.6941 0.8479–3.4699 0.1408    
WC 1.0343 0.9952–1.0761 0.0892    
DBP 0.9956 0.9667–1.0247 0.7670    
MPI poor index 1.1112 0.0753–15.2549 0.9374    
Daily income 0.9608 0.8656–1.0524 0.4145    
Education
 Less than primary school completed Ref      
 Less than secondary school completed 0.4286 0.1169–1.2598 0.1522    
 More higher education 0.4571 0.1241–1.3564 0.1885    
Primary occupation
 Employed Ref      
 Unemployed 1.7222 0.7855–4.0305 0.1888    
AIC     140.13  
  1. Univariate logistic regression analyses were conducted to the association between the prevalence of IHG/DM and each of variables by expression of OR with 95% CI (left). After conduction of a stepwise multiple logistic regression analysis using all research variables, ORs were calculated using remained confounders by a multiple logistic regression analysis (right)
  2. IHG/DM intermediate hyperglycemia and diabetes mellitus combined population, OR odds ratio, CI confidential interval, BMI body mass index, Hb hemoglobin, SBP systolic blood pressure, WC waist circumference, DBP diastolic blood pressure, MPI multidimensional poverty index, AIC Akaike’s Information Criterion, DM diabetes mellitus