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. 2026 Mar 6;9(2):511–516. doi: 10.31662/jmaj.2025-0467

Table 3.

Binomial Logistic Regression Analysis with Various Nutrients as Dependent Variables.

Crude Model 1 Model 2
Odds ratio 95% Confidence interval Odds ratio 95% Confidence interval Odds ratio 95% Confidence interval
Protein 1.39 0.88-2.20 1.25 0.77-2.03 0.77 0.40-1.50
Calcium 1.68 1.18-2.40 * 1.79 1.23-2.62 * 1.44 0.90-2.31
Iron 1.69 1.12-2.54 * 1.66 1.07-2.57 * 1.25 0.74-2.13
Vitamin A 1.57 1.11-2.23 * 1.49 1.03-2.16 * 1.17 0.77-1.79
Vitamin B1 1.65 1.09-2.49 * 1.87 1.20-2.93 * 1.72 0.91-3.25
Vitamin B2 1.83 1.26-2.65 * 1.98 1.32-2.96 † 1.57 0.97-2.57
Vitamin C 1.84 1.27-2.66 * 1.98 1.33-2.94 † 1.67 1.08-2.57 *

Binomial logistic regression; independent variable: SNAQ Score (0: without poor appetite, 1: with poor appetite), dependent variable: compliance status of protein, calcium, iron, vitamin A, vitamin B1, vitamin B2, vitamin C (0: sufficient, 1: insufficient).

*p < 0.05, †p < 0.001.

Model 1: sex, age, number of medical histories, number of medications, MMSE score, living alone; Model 2: Model 1 + energy intake.

MMSE: Mini-Mental State Examination; SNAQ: Simplified Nutritional Appetite Questionnaire.