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. 2007 Mar;97(3):437–447. doi: 10.2105/AJPH.2005.065961

TABLE 2—

Domain-Specific Bivariate Relations Between Independent Variables and Presence of a Syringe Exchange Program (SEP): 96 Metropolitan Statistical Areas (MSAs), 2000

Category and Variablea Mean in MSA Odds Ratio (95% Confidence Interval) Pb
Need
No. of injection drug users per 1000 population (1993) 1.07 (0.970, 1.175) .180
    With SEP 9.24
    Without SEP 8.04
No. of AIDS cases among injection drug users per 1000 users (1993) 1.07 (1.017, 1.124) .093
    With SEP 14.73
    Without SEP 9.51
Presence of anti-OTC syringe laws 2.20 (0.946, 5.117) .067
    With SEP 0.46
    Without SEP 0.28
Resource availability
No. of drug treatment slots per 10 000 population (1992) 1.09 (0.440, 2.709) .850
    With SEP 0.78
    Without SEP 0.76
No. of hospitals per 10 000 population with specialized HIV/AIDS services (1992) 1.05 (0.930, 1.185) .433
    With SEP 14.36
    Without SEP 13.81
No. of medical and public health researchers per 10 000 population (1990) 2.13 (1.116, 4.082) .022
    With SEP 1.03
    Without SEP 0.53
No. of medical and public health teaching professionals per 10 000 population (1990) 1.36 (0.683, 2.717) .380
    With SEP 1.10
    Without SEP 0.99
Institutional opposition
No. of hard drug arrests per 10 000 population (1993) 1.04 (1.001, 1.070) .040
    With SEP 18.24
    Without SEP 12.01
No. of police employees per 10 000 population (1993) 1.03 (0.983, 1.076) .226
    With SEP 29.18
    Without SEP 26.76
Organized or potential support
No. of MSM per 1000 population (1993) 1.31 (1.100, 1.550) .002
    With SEP 11.62
    Without SEP 9.15
No. of AIDS cases among MSM per 1000 MSM (1993) 1.04 (0.986, 1.088) .162
    With SEP 17.92
    Without SEP 15.51
Presence of outreach efforts 4.54 (1.897, 10.886) .007
    With SEP 0.59
    Without SEP 0.24
Presence of ACT UP chapter 29.80 (3.775, 235.106) .001
    With SEP 0.38
    Without SEP 0.02
No. of methadone maintenance programsb per 1 million population (1989) 1.66 (1.189, 2.343) .003
    With SEP 3.10
    Without SEP 1.73
Socioeconomic and demographic factors (1990)
MSA population in 100 000s 1.09 (1.031, 1.155) .003
    With SEP 22.21
    Without SEP 11.17
Black, % 0.99 (0.945, 1.04) .788
    With SEP 11.55
    Without SEP 12.05
Black residential segregation dissimilarity index 1.02 (0.981, 1.052) .382
    With SEP 65.75
    Without SEP 63.67
Black–White median income ratio 0.14 (0.019, 1.029) .053
    With SEP 0.63
    Without SEP 0.71
Black–White unemployment ratio 0.97 (0.736, 1.277) .825
    With SEP 2.78
    Without SEP 2.85
Hispanic, % 1.02 (0.982, 1.049) .392
    With SEP 10.67
    Without SEP 8.45
Hispanic residential segregation dissimilarity index 1.05 (1.016, 1.094) .005
    With SEP 45.20
    Without SEP 38.04
Hispanic–White median income ratio 0.19 (0.033, 0.578) .067
    With SEP 0.73
    Without SEP 0.90
Hispanic–White unemployment ratio 0.97 (0.639, 1.477) .893
    With SEP 2.09
    Without SEP 2.11
Unemployment rate, % 1.12 (0.845, 1.478) .437
    With SEP 5.98
    Without SEP 5.75
Population below poverty level, % 0.96 (0.854, 1.074) .459
    With SEP 11.06
    Without SEP 11.60
Population with college education, % 1.22 (1.100, 1.361) .001
    With SEP 24.44
    Without SEP 20.08

Note. OTC=over-the-counter; MSM=men who have sex with men. Years in parentheses are the years of the data.5254

aWith SEP, n = 47; Without SEP, n = 49.

bBased on likelihood ratio test.