Table 7: Factors associated with malnutrition among study participants in bi variable and multi variable logistic regression analysis.
|
Variables |
Categories |
Malnutrition |
COR (95% CI) |
AOR (95% CI) |
P-value |
|
|
Yes N (%) |
No N (%) |
|||||
|
Dietary diversity |
Low |
85 (73.91) |
30 (26.09) |
8.31 (4.61, 14 95) |
3.7 (1.37, 9.98) |
0.01* |
|
Moderate |
30 (25.42) |
88 (74.58) |
7.65 (3.95, 14.81) |
5.1 (1.6, 16.60) |
0.06 |
|
|
High |
20 (27.02) |
54 (72.98) |
1 |
1 |
|
|
|
Stress Level |
High |
18 (64.28) |
10 (35.72) |
3.81 (1.58, 9.17) |
3.5 (1.04, 11.58) |
0.042* |
|
Moderate |
33 (32.03) |
70 (67.97) |
4.90 (1.90, 12.58) |
3.3 (0.83, 12.69) |
0.088 |
|
|
Low |
18 (26.86) |
49 (73.14) |
1 |
1 |
|
|
|
Diarrheal disease |
Yes |
98 (79.03) |
26 (20.97) |
14.87 (8.4, 26.1) |
3.7 (1.36, 9.82) |
0.010* |
|
No |
37 (20.21) |
146 (79.79) |
1 |
1 |
|
|
|
Education Status |
Educated |
78 (75.71) |
25 (24.29) |
1 |
1 |
|
|
Uneducated |
57 (27.97) |
147 (72.03) |
8.04 (4.66, 13.86) |
3.1 (1.09, 8.20) |
0.033* |
|
|
Serum Glucose |
Low |
35 (57.37) |
26 (42.63) |
1.96 (1.11, 3.46 ) |
0.95 (0.34, 2.65) |
0.936 |
|
Normal |
100 (40.6) |
146 (59.45) |
1 |
1 |
|
|
|
Serum Iron |
Low |
56 (54.46) |
55 (49.54) |
1.50 (0.94, 2.41) |
0.90 (0.369, 2.194) |
0.816 |
|
Normal |
79 (40.41) |
117 (59.69) |
1 |
1 |
0.816 |
|
|
Total Protein |
Low |
100 (69.93) |
43 (30.07) |
8.57 (5.11, 14.37) |
7.25 (2.73, 19.28) |
< 0.001* |
|
Normal |
35 (24.47) |
129 (75.53) |
1 |
1 |
|
|
|
Total Cholesterol |
Abnormal |
25 (30.86) |
56 (69.14) |
0.47 (0.27, 0.80) |
1.35 (0.48, 3.79) |
0.569 |
|
Normal |
110 (48.67) |
116 (51.33) |
1 |
1 |
|
|
|
Albumin |
Low |
61 (57) |
46 (43) |
2.26 (1.39, 3.64) |
3.1 (1.12, 8.5) |
0.029* |
|
Normal |
74 (61.66) |
126 (38.34) |
1 |
1 |
|
|
|
Folate |
Low |
40 (59.70) |
27 (40.30) |
2.26 (1.3, 3.93) |
3.1 (1.070, 9.049) |
0.037* |
|
Normal |
95 (39.58) |
145 (60.42) |
1 |
1 |
|
|
AOR: Adjusted Odds Ratio; COR: Crud Odds Ratio; CI: Confidence Interval *Indicates statistically significant values in multivariate logistic regression analysis