Research Article
Financial Strain Is Associated with Malnutrition Risk in Community-Dwelling Older Women
Table 1
Distribution of sociodemographic variables by malnutrition risk status (modified MNA-SF < 11) in WHAS I and II (
).
| Variable | Modified MNA-SF < 11, b | Modified MNA-SF 11–14, b | valuea |
| Age (SD) | 74.9 (2.8) | 74.0 (2.8) | 0.004 | Race (%) | | | | White | 67 (68) | 454 (78) | 0.022 | Black | 32 (32) | 126 (22) | Marital status (%) | | | | Married | 16 (16) | 192 (33) | 0.003 | Widowed | 66 (67) | 290 (50) | Separated/divorced | 12 (12) | 54 (9) | Never married | 5 (5) | 43 (7) | Education Years (SD) | 10.2 (3.7) | 11.7 (5.9) | <0.001 | Income (%) | | | | $25,000≤ | 17 (17) | 165 (28) | <0.001 | $10,000–24,999 | 25 (25) | 214 (37) | $6,000–9,999 | 22 (22) | 138 (24) | <$6,000 | 35 (35) | 63 (11) | Lack income for food (%) | | | | Never | 69 (70) | 505 (87) | <0.001 | Once in a while | 19 (19) | 56 (10) | Fairly/very often | 11 (11) | 19 (3) | Finances at month end (%) | | | | Some money left | 45 (45) | 386 (67) | <0.001 | Just enough | 36 (36) | 166 (29) | Not enough to make ends meet | 18 (18) | 28 (5) |
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at-test for continuous data or Pearson Chi square test of independence for categorical data.
bPercentages may not sum to 100 due to rounding.
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