Table 3.
|
Cox-binomial model |
GEE method |
|||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
District | n Cox | p Cox | n logit | p logit | p Total | %Diff | p <0.05 | ||||
Belgaum |
199 |
0.069 |
0.295 |
<0.001 |
397 |
0.366 |
0.775 |
<0.001 |
<0.001 |
−0.5 |
NO |
Bellary |
234 |
0.090 |
0.274 |
<0.001 |
398 |
0.183 |
0.760 |
<0.001 |
<0.001 |
−2.7 |
NO |
Chennai |
265 |
0.073 |
0.446 |
<0.001 |
349 |
0.143 |
0.413 |
<0.001 |
<0.001 |
13.6 |
YES |
Chitoor |
360 |
0.012 |
0.107 |
<0.001 |
395 |
0.026 |
0.230 |
<0.001 |
<0.001 |
7.7 |
YES |
Coimbatore |
306 |
0.006 |
0.144 |
<0.001 |
325 |
0.020 |
0.117 |
<0.001 |
<0.001 |
12.2 |
YES |
Dharmapuri |
306 |
0.020 |
0.262 |
<0.001 |
387 |
0.049 |
0.657 |
<0.001 |
<0.001 |
16.5 |
YES |
East Godavari |
303 |
0.067 |
0.314 |
<0.001 |
392 |
0.149 |
0.518 |
<0.001 |
<0.001 |
4.5 |
NO |
Guntur |
324 |
0.012 |
0.345 |
<0.001 |
386 |
0.068 |
0.532 |
<0.001 |
<0.001 |
21.9 |
YES |
Madurai |
269 |
0.044 |
0.263 |
<0.001 |
319 |
0.097 |
0.304 |
<0.001 |
<0.001 |
12.1 |
YES |
Mumbai BB |
156 |
0.069 |
0.112 |
0.578 |
379 |
0.576 |
0.629 |
0.369 |
0.573 |
−0.9 |
NO |
Mumbai NBB |
144 |
0.064 |
0.072 |
0.983 |
354 |
0.557 |
0.711 |
0.011 |
0.041 |
−0.8 |
NO |
Mysore |
328 |
0.031 |
0.191 |
<0.001 |
420 |
0.120 |
0.377 |
<0.001 |
<0.001 |
8.7 |
YES |
Prakasam |
374 |
0.003 |
0.123 |
<0.001 |
402 |
0.026 |
0.204 |
<0.001 |
<0.001 |
10.1 |
YES |
Pune BB |
74 |
0.202 |
0.261 |
0.884 |
399 |
0.769 |
0.942 |
<0.001 |
<0.001 |
−3.9 |
YES |
Pune NBB |
60 |
0.112 |
0.130 |
0.054 |
251 |
0.689 |
0.870 |
<0.001 |
<0.001 |
0.0 |
NO |
Salem |
249 |
0.035 |
0.313 |
<0.001 |
319 |
0.106 |
0.364 |
<0.001 |
<0.001 |
13.9 |
YES |
Shimoga |
192 |
0.059 |
0.225 |
<0.001 |
338 |
0.158 |
0.641 |
<0.001 |
<0.001 |
2.9 |
NO |
Thane BB |
54 |
0.337 |
0.500 |
0.752 |
397 |
0.847 |
0.913 |
0.082 |
0.209 |
−5.6 |
YES |
Thane NBB |
64 |
0.241 |
0.311 |
0.662 |
377 |
0.735 |
0.894 |
<0.001 |
<0.001 |
−3.5 |
NO |
Visakhapatnam |
350 |
0.042 |
0.386 |
<0.001 |
405 |
0.043 |
0.500 |
<0.001 |
<0.001 |
18.8 |
YES |
Yevatmal | 57 | 0.131 | 0.435 | <0.001 | 148 | 0.328 | 0.800 | <0.001 | <0.001 | 0.6 | NO |
TOTAL 4668 7140.
Columns 2 and 6: Number of FSWs contributing the Cox (nCox) and binomial (nlogit) regressions. Columns 3 and 4: mean rate of condom acquisition during career before 1-1-2004 () and after 1-1-2004 (). Columns 7 and 8: Mean probability of condom use at beginning of career before 1-1-2004 () and after 1-1-2004 (). Columns 5, 9 and 10: p-values of the likelihood-ratio test of no difference pre- and post-intervention in condom acquisition (pCox), condom use at beginning of career (plogit) and combined tests (pTotal). Columns 11 and 12: Estimate of the difference between the average yearly slopes of consistent condom use before and after 1-1-2004 with the GEE approach with a p-value for the test that this difference is significantly different from 0. “BB” stands for “brothel-based” and “NBB” stands for “Non brothel-based”.