Table 2. Univariate analysis factors association with longer delay.
| Categories | Delay≥12.5days(N = 238) | P (X2test) | Delay≥31days(N = 232) | P (X2test) | Delay≥31days(N = 232) | P (X2test) |
| Age | ||||||
| 16–45 | 157(46.9) | 0.18 | 148(46.4) | 0.17 | 149(47.8) | 0.05 |
| 46–60 | 57(57.0) | 59(61.5) | 59(60.8) | |||
| >60 | 22(53.7) | 24(60.0) | 24(58.5) | |||
| Gender | ||||||
| Male | 156(48.0) | 0.17 | 156(49.8) | 0.51 | 157(50.5) | 0.45 |
| Female | 82(54.7) | 75(53.2) | 75(45.3) | |||
| Ethnic | ||||||
| Han Race | 232(50.1) | 0.37 | 227(51.4) | 0.03 | 228(52.2) | 0.02 |
| Others | 4(36.4) | 2(18.2) | 2(18.2) | |||
| Marital status | ||||||
| Single | 84(41.2) | <0.01 | 86(43.92) | 0.03 | 87(45.1) | 0.65 |
| Married | 131(56.0) | 121(54.3) | 122(55.0) | |||
| Devoiced | 14(60.9) | 15(71.4) | 14(70.0) | |||
| Windowed | 8(66.7) | 7(58.3) | 7(58.3) | |||
| Residence | ||||||
| Rural | 97(44.1) | 0.02 | 98(46.7) | 0.15 | 98(47.3) | 0.14 |
| Urban | 137(54.4) | 129(53.5) | 130(54.5) | |||
| Education | ||||||
| Primary and below | 36(56.3) | 0.25 | 37(60.7) | 0.14 | 37(60.7) | 0.15 |
| Middle school | 135(50.8) | 129(51.2) | 129(52.4) | |||
| College and above | 59(44.4) | 58(45.3) | 59(45.7) | |||
| Health insurance | ||||||
| Yes | 175(48.3) | 0.33 | 175(49.7) | 0.41 | 175(50.6) | 0.45 |
| No | 61(53.5) | 56(54.4) | 57(54.8) | |||
| District | ||||||
| SPB | 65(32.8) | <0.01 | 113(71.5) | <0.001 | 113(73.4) | <0.01 |
| JLP | 124(69.7) | 65(33.9) | 65(33.9) | |||
| YZQ | 49(49.0) | 53(50.5) | 54(51.9) | |||
| Personal income in past year | ||||||
| <2PL | 78(41.9) | 0.02 | 73(41.2) | 0.02 | 75(42.4) | <0.01 |
| 3-Feb | 6(46.2) | 5(38.5) | 6(46.2) | |||
| >3PL | 146(55.1) | 148(58.0) | 146(58.4) | |||
| Physical activities | ||||||
| No | 89(54.6) | 0.13 | 94(59.9) | <0.01 | 94(60.3) | <0.01 |
| Sometimes | 110(48.5) | 104(48.1) | 105(49.3) | |||
| Often | 32(41.0) | 29(38.7) | 29(39.2) | |||
| Smoking | ||||||
| Non-smoking | 146(49.8) | 0.29 | 139(49.6) | 0.71 | 139(50.9) | 0.62 |
| Smoking | 60(46.5) | 64(51.2) | 64(50.4) | |||
| Quit | 32(59.3) | 28(56.0) | 29(58.0) | |||
| Alcohol drinking | ||||||
| Non-drinking | 160(49.7) | 0.97 | 157(50.9) | 0.76 | 157(51.8) | 0.79 |
| Drinking | 49(49.0) | 49(51.6) | 49(50.5) | |||
| Quit | 25(51.0) | 22(47.8) | 23(50.0) | |||
| Type of patient | ||||||
| New | 224(51.4) | 0.69 | 219(52.1) | 0.89 | 220(53.5) | 0.82 |
| Retreatment | 5(45.5) | 5(50.0) | 5(50.0) | |||
| AFB smear status | ||||||
| Negative | 76(68.5) | <0.01 | 69(65.1) | <0.01 | 69(65.1) | <0.01 |
| Positive | 154(45.7) | 155(47.7) | 156(49.4) | |||
| Typical symptoms | ||||||
| Yes | 231(51.6) | <0.01 | 225(52.4) | <0.01 | 226(53.4) | <0.01 |
| No | 5(17.9) | 6(23.1) | 6(22.2) | |||
| Cough | ||||||
| Yes | 157(63.6) | <0.01 | 149(63.9) | <0.01 | 151(64.3) | <0.01 |
| No | 78(34.5) | 81(37.0) | 80(37.7) | |||
| Sputum with blood | ||||||
| Yes | 54(41.9) | 0.02 | 55(44.4) | 0.88 | 55(44.7) | 0.07 |
| No | 182(52.6) | 176(53.3) | 177(54.3) | |||
| First health facility for consultation | ||||||
| TB hospital | — | — | 16(40.0) | 0.15 | 16(41.0) | 0.17 |
| Non-TB hospital | — | 215(51.8) | 216(52.6) | |||
| Times to consult health facility before diagnosis | ||||||
| 1 | — | — | 22(39.3) | <0.01 | 22(40.7) | <0.01 |
| 2 | — | 171(49.1) | 172(50.0) | |||
| ≥3 | — | 38(74.5) | 38(73.1) | |||
| Prescribing X-rays at first consultation | ||||||
| No | — | — | 21(63.6) | 0.13 | 21(67.7) | 0.62 |
| Yes | — | 209(49.8) | 210(50.4) | |||
| Prescribing sputum test at first consultation | ||||||
| No | — | — | 163(48.8) | 0.14 | 163(49.2) | 0.085 |
| Yes | — | 68(56.7) | 69(58.5) | |||
| Access to TB health education | ||||||
| Yes | 62(40.3) | <0.01 | 59(39.1) | <0.01 | 59(40.4) | 0.02 |
| No | 170(53.5) | 168(56.0) | 169(56.3) | |||
| TB knowledge | ||||||
| Yes | 214(50.0) | 0.77 | 206(50.2) | 0.32 | 208(51.5) | 0.36 |
| No | 22(47.8) | 25(58.1) | 24(58.5) | |||
Notes:
Missing data were excluded.
“—”refers this variable was not included in the logistic model for this independent variable.
PL refers to local poverty line which is 3480 RMB Yuan per year since 2010; TB refers to tuberculosis.
AFB smear status refers to Acid-Fast Bacilli (AFB) Smear status.