19 April 2022: Clinical Research
Factors Associated with Non-Adherence for Prescribed Treatment in 201 Patients with Multidrug-Resistant and Rifampicin-Resistant Tuberculosis in Anhui Province, China
Qing-Qing Zhu 1BCDE* , Jie Wang 23BCDE* , Napoleon Bellua Sam 4F , Jie Luo 5F , Jie Liu 1A* , Hai-Feng Pan 23A*DOI: 10.12659/MSM.935334
Med Sci Monit 2022; 28:e935334
Table 2 Univariate analysis of the risk factors for non-adherence to multidrug-resistant tuberculosis and rifampicin-resistant tuberculosis treatment.
| Variables | Adherence (number [composition ratio%]) | χ2 | P value | |
|---|---|---|---|---|
| Adherence | Non-adherence | |||
| 0.007 | 0.934 | |||
| Male | 108 (72.5) | 41 (27.5) | ||
| Female | 38 (73.1) | 14 (26.9) | ||
| 0.004 | 0.998 | |||
| 15–39 | 40 (72.7) | 15 (27.3) | ||
| 40–59 | 63 (72.4) | 24 (27.6) | ||
| 60 or above | 43 (72.9) | 16 (27.1) | ||
| 2.357 | 0.308 | |||
| South of Ahhui | 55 (71.4) | 22 (28.6) | ||
| Center of Anhui | 28 (65.1) | 15 (34.9) | ||
| North of Anhui | 63 (77.8) | 18 (22.2) | ||
| 4.693 | 0.096 | |||
| Underweight | 23 (60.5) | 15 (39.5) | ||
| Normal | 97 (77.6) | 28 (22.4) | ||
| Obese | 26 (68.4) | 12 (31.6) | ||
| 4.984 | 0.083 | |||
| Unmarried | 24 (88.9) | 3 (11.1) | ||
| Married | 103 (71.5) | 41 (28.5) | ||
| Divorced or widowed | 19 (63.3) | 11 (36.7) | ||
| 12.898 | 0.002 | |||
| Primary and below | 34 (57.6) | 25 (42.4) | ||
| Middle and high | 86 (75.4) | 28 (24.6) | ||
| Junior college and above | 26 (92.9) | 2 (7.1) | ||
| 11.220 | 0.004 | |||
| City | 77 (83.7) | 15 (16.3) | ||
| County | 19 (57.6) | 14 (42.4) | ||
| Countryside | 50 (65.8) | 26 (34.2) | ||
| 18.401 | ||||
| 316 and below | 43 (55.8) | 34 (44.2) | ||
| 316–790 | 67 (80.7) | 16 (19.3) | ||
| Over 790 | 36 (87.8) | 5 (12.2) | ||
| 2.158 | 0.142 | |||
| Yes | 45 (66.2) | 23 (33.8) | ||
| No | 101 (75.9) | 32 (24.1) | ||
| 1.283 | 0.257 | |||
| Yes | 29 (65.9) | 15 (34.1) | ||
| No | 117 (74.5) | 40 (25.5) | ||
| 0.001 | 0.972 | |||
| Yes | 58 (72.5) | 22 (27.5) | ||
| No | 88 (72.7) | 33 (27.3) | ||
| 0.583 | 0.445 | |||
| Yes | 48 (76.2) | 15 (23.8) | ||
| No | 98 (71.0) | 40 (29.0) | ||
| 1.968 | 0.161 | |||
| Yes | 20 (62.5) | 12 (37.5) | ||
| No | 126 (74.6) | 43 (25.4) | ||
| 7.174 | 0.007 | |||
| Yes | 29 (58.0) | 21 (42.0) | ||
| No | 117 (77.5) | 34 (22.5) | ||
| 0.945 | 0.331 | |||
| Good | 27 (79.4) | 7 (20.6) | ||
| Not good | 119 (71.3) | 48 (28.7) | ||
| 1.710 | 0.191 | |||
| Yes | 89 (69.5) | 39 (30.5) | ||
| No | 57 (78.1) | 16 (21.9) | ||
| 80.089 | ||||
| Yes | 13 (25.0) | 39 (75.0) | ||
| No | 133 (89.3) | 16 (10.7) | ||
| 18.049 | ||||
| 0 | 17 (89.5) | 2 (10.5) | ||
| 1 | 58 (87.9) | 8 (12.1) | ||
| 2 | 33 (61.1) | 21 (38.9) | ||
| Over 2 | 38 (61.3) | 24 (38.7) | ||