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. 2018 Aug 30;18:199. doi: 10.1186/s12877-018-0892-2

Table 3.

Factors associated with risk of malnutrition and malnutrition after adjusted for confounders using multinomial logistic regression

Variable Risk of malnutrition, n = 485 aOR (95% CI) p value Malnutrition, n = 151 aOR (95% CI) p value
Age 1.02 (0.99,1.05) 0.268 1.06 (1.01,1.11) 0.020*
Gender (Male) 1.26(0.59,2.72) 0.533 0.95(0.33,2.68) 0.912
No of people living with 0.91 (0.85,0.97) 0.006* 0.89(0.74,1.09) 0.277
Usage of medication 0.97 (0.74,1.28) 0.827 1.47(0.82,2.66) 0.186
Alcohol consumption 1.63 (0.65,4.08) 0.281 4.06(1.17,14.07) 0.029*
Cigarette smoking 1.57 (0.75,3.29) 0.222 2.28(0.88,5.93) 0.087
Betel chewing 0.99 (0.66–1.50) 0.986 1.30(0.77,2.19) 0.304
HPT 0.99 (0.79,1.27) 0.994 1.71 (1.02,2.89) 0.044*

HPT hypertension; The reference category is well-nutrition (n = 363); Reference category for alcohol consumption, cigarette smoking, betel chewing, usage of medicine, HPT is ‘no’; Reference for Gender is female

Multinomial regression was used, with a removal probability of 0.25

Adjusted for gender and for all other variables in the model. * p < 0.05 is significant

Model Fit: R2 = 0.048 (Cox and Snell); 0.056 (Nagelkerke); 0.025 (McFadden)