Table 1.
Comparison the characteristics of the SMS quality evaluation population and the SMS intervention population
| SMS intervention populations(N = 171) | SMS quality evaluation population (N = 72) | χ2 | P value | |
|---|---|---|---|---|
| Age | 0.001 | 0.982 | ||
| < 50 | 52 (30.4) | 22 (30.6) | ||
| ≥ 50 | 119 (69.6) | 50 (69.4) | ||
| Gender | 0.400 | 0.527 | ||
| male | 97 (56.7) | 44 (61.1) | ||
| female | 74 (43.3) | 28 (38.9) | ||
| BMI | 0.761 a | |||
| < 18.5 | 4 (2.4) | 3 (3.7) | ||
| 18.5 ~ 24.0 | 44 (26.3) | 19 (23.2) | ||
| ≥ 24.0 | 119 (71.3) | 60 (73.2) | ||
| Distribution | 0.957 | 0.328 | ||
| urban | 133 (77.8) | 60 (83.3) | ||
| rural | 38 (22.2) | 12 (16.7) | ||
| Education | 0.412 | 0.521 | ||
| below high school | 68 (40.0) | 32 (44.4) | ||
| high school and above | 102 (60.0) | 40 (55.6) | ||
| Marital status | 0.773 a | |||
| married | 161 (94.2) | 67 (93.1) | ||
| other | 10 (5.8) | 5 (6.9) | ||
| Employment status | 2.605 | 0.106 | ||
| employed | 90 (52.6) | 46 (63.9) | ||
| non-employed | 81 (47.4) | 26 (36.1) | ||
| Smoking | 0.011 | 0.915 | ||
| yes | 44 (25.7) | 19 (26.4) | ||
| no | 127 (74.3) | 53 (73.6) | ||
| Drinking | 1.317 | 0.251 | ||
| yes | 58 (33.9) | 30 (41.7) | ||
| no | 113 (66.1) | 42 (58.3) | ||
| Hypertension | 0.262 | 0.609 | ||
| yes | 65 (39.6) | 26 (36.1) | ||
| no | 99 (60.4) | 46 (63.9) |
SMS short message service, BMI body mass index. a Fisher probabilities method