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. 2022 Mar 15;226(1):138–146. doi: 10.1093/infdis/jiac097

Table 3.

Adjusted Prevalence and Mean of Infection Outcomes at Baseline and 6 Weeks After the Interventiona

Outcome Baseline
(95% CI)
6 Wk
(95% CI)
Adjusted Relative Difference, %b P Value Comparing 6 Wk to Baseline
Prevalence
Microscopy positive, n (%) 135 (19.2) 59 (8.6) <.0001
 Adjusted prevalence, all schools 19.5 (12.1–29.9) 10.0 (7.6–13.0) −48.8 <.0001
  High transmissionc 27.8 (17.5–41.2) 16.1 (12.3–20.9) −41.9 <.0001
  Lower, seasonal transmissiond 11.3 (2.8–36.5) 3.8 (1.9–7.5) −66.5 .008
PCR positive, n (%) 257 (36.5) 184 (26.9) <.0001
 Adjusted prevalence, all schools 33.9 (30.4–37.7) 25.6 (22.5–29.0) −24.5 <.0001
  High transmission 55.7 (50.4–61.7) 36.1 (31.3–41.7) −35.2 <.001
  Lower, seasonal transmission 14.0 (10.9–18) 15.7 (12.4–19.9) +12.2 .40
Anemic, n (%)e 106 (15.1) 72 (10.5) .01
 Adjusted prevalence, all schools 12.5 (10–15.7) 8.7 (6.6–11.4) −30.8 .003
  High transmission 16.1 (11.4–22.8) 12.1 (9–16.3) −36.6 .007
  Lower, seasonal transmission 10.3 (7.6–13.9) 8.0 (5.5–11.5) −22.4 .15
Mean
Hemoglobin, g/dL, mean (SD) 12.28 (1.46) 12.56 (1.36) .0002
Adjusted mean,f all schools 12.35 (12.2–12.5) 12.64 (12.5–12.8) 2.4 <.0001
 High transmission 11.9 (11.9–12.1) 12.2 (12.2–12.4) 3.1 <.0001
 Lower, seasonal transmission 12.6 (12.6–12.7) 12.8 (12.8–12.9) 1.8 .003

Abbreviations: CI, confidence interval; GEE, generalized estimating equation; PCR, polymerase chain reaction.

Log binomial GEE models for adjusted prevalence adjusted a priori for sex, age, season, and visit, including nested clustering by individual and school.

Relative difference in prevalence is the difference between prevalence at baseline and after 6 weeks divided by baseline prevalence.

High transmission schools were in Maseya and Makhuwira.

Lower, seasonal transmission schools were in Bvumbwe and Ngowe.

Defined as hemoglobin less than 11.0 g/dL. Anemia models adjusted for PCR results for Plasmodium falciparum at baseline.

Adjusted mean hemoglobin and 95% CIs estimated using linear GEE models.