Skip to main content
. 2013 Jan 9;88(1):48–53. doi: 10.4269/ajtmh.2012.12-0371

Table 2.

Univariate analysis with 2 × 2 tables of infections associated with low WZS and LBW, coastal, Kenya*

Infection Low WZS LBW
OR 95% CI OR 95% CI
No infection versus
 Any type of infection 0.54 0.33–0.92 0.24 0.13–0.42
 HIV 0.81 0.75–1.12 0.76 0.62–1.22
 Malaria 0.56 0.2–1.12 0.46 0.23–0.94
 Filariasis 0.43 0.23–0.78 0.28 0.12–0.62
 Schistosomiasis 0.67 0.37–1.23 0.47 0.22–0.99
 Trichuriasis 0.61 0.25–1.55 0.79 0.79–2.21
 Hookworm 0.44 0.23–0.81 0.33 0.14–0.72
 Single or multiple helminths 0.55 0.30–0.93 0.34 0.16–0.70
 Coinfection with malaria and helminths 0.53 0.29–0.99 0.45 0.21–0.98
*

WZS = weight-z-score; LBW = low birthweight; OR = odds ratio; CI = confidence interval; HIV = human immunodeficiency virus.

P < 0.05.

P < 0.1.