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. 2020 Oct 15;8(11):e1418–e1426. doi: 10.1016/S2214-109X(20)30344-2

Table 2.

Frequency of non-treatment by individual and household characteristics and association with selected predictors in round one of mass drug administration among adults

Number (%) of participants (n=20 091) Not treated (%) Odds ratio (95% CI)*
Age group (years)
15 to <20 3889 (19·4%) 44·8% 1 (ref)
20 to <25 2612 (13·0%) 53·0% 1·39 (1·26–1·54)
25 to <30 2509 (12·5%) 47·4% 1·12 (1·01–1·25)
30 to <35 2243 (11·2%) 41·2% 0·87 (0·78–0·97)
35 to <45 3398 (16·9%) 33·9% 0·64 (0·58–0·70)
45 to <55 2329 (11·6%) 33·2% 0·63 (0·56–0·70)
55 to <65 1682 (8·4%) 32·9% 0·62 (0·55–0·71)
≥65 1429 (7·1%) 37·7% 0·77 (0·68–0·88)
Sex
Male 9364 (46·6%) 39·0% 1 (ref)
Female 10 727 (53·4%) 42·9% 1·14 (1·08–1·20)
Household
Socioeconomic status
Poorest 5226 (26·0%) 40·7% ..
Poor 10 451 (52·0%) 41·1% ..
Least poor 4414 (22·0%) 41·5% ..
Large size
No 12 080 (60·1%) 39·6% 1 (ref)
Yes 8011 (39·9%) 43·3% 1·13 (1·05–1·22)
Remote
No 16 580 (82·5%) 41·1% ..
Yes 3511 (17·5%) 41·0% ..
Urban or periurban location
No 14 174 (70·5%) 40·9% ..
Yes 5917 (29·5%) 41·5% ..
*

Multivariable logistic regression with robust SEs was done to account for household clustering. Odds ratios and 95% CIs are provided for the variables with the lowest Bayesian Information Criterion when all possible subsets of candidate predictors were modelled.