Table 3. Logistic Regression Models for Identifying Potential Barriers Related to Nutritional Status a.
| Variable | B | SE (B) | OR | 95% CI | P Value |
|---|---|---|---|---|---|
| Medical barriers | |||||
| Poor appetite | |||||
| MIS | 0.262 | 0.119 | 1.30 | 1.02-1.64 | 0.02 |
| BCM | -0.084 | 0.030 | 0.92 | 0.86-0.97 | 0.005 |
| Difficulty chewing | |||||
| SGA | 0.151 | 0.044 | 1.16 | 1.06-1.26 | 0.001 |
| Depression | |||||
| MIS | 0.193 | 0.047 | 1.21 | 1.10-1.33 | < 0.001 |
| Behavioral barriers | |||||
| Poor general nutrition Knowledge | |||||
| SGA | 0.268 | 0.112 | 1.30 | 1.05-1.62 | 0.01 |
| BFMI | 0.145 | 0.073 | 1.15 | 1.001-1.33 | 0.04 |
| Poor protein nutrition Knowledge | |||||
| BFMI | 0.242 | 0.108 | 1.27 | 1.03-1.57 | 0.02 |
| Poor potassium nutrition Knowledge | |||||
| SGA | 0.639 | 0.204 | 1.89 | 1.27-2.88 | 0.002 |
| Socioeconomic barriers | |||||
| Need help for shopping | |||||
| SGA | 0.15 | 0.038 | 1.16 | 1.07-1.25 | < 0.001 |
| BFMI | 0.134 | 0.047 | 1.14 | 1.04-1.25 | 0.005 |
| Need help for cooking | |||||
| MIS | 0.147 | 0.043 | 1.15 | 1.06-1.26 | 0.001 |
| BCM | -0.119 | 0.026 | 0.88 | 0.84-0.93 | < 0.001 |
aabbreviations: SE, standard error; OR, odds ratio.