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Controlling for socio-demographic characteristics in multivariate analyses, environmental-structural support (OR, 3.96; CI, 2.52 6.22) for condom use was the most significant positive predictor of CCU among FSWs and their regular paying partners.
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Table 4 presents the associations of individual characteristics with non-adherence to ART in multivariate analyses.
11 Our study also confirms previous findings 7 9 17 that costs and benefits vary with age and comorbidity but evaluates such characteristics, and pre-operative knee function, in multivariate analyses, which has not (to our knowledge) been done previously.
Except for the laboratory parameters and indications for surgery, all of the clinical characteristics presented in Table 1 were included in multivariate analyses.
The differential effect between the two groups remained even when the patient characteristics before switching were taken into account in multivariate analyses.
In case of intercorrelations between characteristics (>0.4), only one of the two was included in multivariate analyses.
Characteristics of the individual, the trip, and the community were controlled in multivariate analyses.
In multivariate analyses adjusting for household and household head characteristics, few associations were observed, and there exist differences between the regions.
In multivariate analyses adjusted for other socioeconomic and diabetes characteristics at EDIC year 10, only erectile dysfunction was associated with LUTS (OR 2.54, 95% CI 1.53 4.20, P = 0.0002).
Light grey shading indicates features that are significant in univariate but not in multivariate analyses.
Species composition differed significantly between habitats in multivariate analyses.
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