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. 2016 Mar 2;94(3):650–658. doi: 10.4269/ajtmh.15-0554

Table 3.

Association between household-level indicators of SEP and the HBR in 100 households in Nagongera, Uganda

Characteristic HBR* Crude IRR (95% CI) P Adjusted IRR (95% CI) P
Wealth index
 Wealth Index I
  Poorest tertile 41.5 (1,136) 1 1
  Middle tertile 34.4 (1,132) 0.86 (0.65–1.13) 0.27 0.88 (0.68–1.14) 0.34
  Highest tertile 28.8 (1,110) 0.71 (0.54–0.93) 0.01 0.75 (0.56–1.02) 0.06
  Continuous score 0.87 (0.77–0.99) 0.03 0.92 (0.81–1.05) 0.22
 Wealth Index II
  Poorest tertile 40.8 (1,124) 1 1
  Middle tertile 35.8 (1,173) 0.90 (0.68–1.18) 0.44 0.93 (0.72–1.20) 0.58
  Highest tertile 27.9 (1,081) 0.69 (0.52–0.91) 0.008 0.67 (0.49–0.92) 0.01
  Continuous score 0.79 (0.71–0.89) < 0.001 0.80 (0.69–0.91) 0.001
Income
 Total income from agriculture in past 12 months (UGX)
  < 100,000 37.0 (1,291) 1 1
  100,000 to < 300,000 29.3 (1,142) 0.80 (0.61–1.04) 0.10 0.77 (0.59–1.01) 0.06
  ≥ 300,000 40.0 (910) 1.05 (0.79–1.40) 0.72 1.16 (0.86–1.58) 0.34
 Remittances received in the past 12 months
  No 37.0 (2,872) 1 1 1
  Yes 23.0 (506) 0.63 (0.46–0.86) 0.004 0.67 (0.47–0.96) 0.03
Occupation
 Primary occupation of the household head
  Agriculture, unskilled, or cannot work 35.3 (2,431) 1 1 1
  Skilled 34.1 (947) 0.95 (0.74–1.24) 0.72 0.98 (0.71–1.34) 0.89
 Main source of household income
  Agriculture or unskilled 36.8 (2,690) 1 1
  Skilled 30.0 (544) 0.82 (0.60–1.13) 0.23 0.83 (0.57–1.23) 0.36
  Remittances or other 19.2 (144) 0.53 (0.30–0.95) 0.03 0.80 (0.42–1.50) 0.48

CI = confidence interval; HBR = human biting rate; IRR = incidence rate ratio; SEP = socioeconomic position; UGX = Ugandan shilling.

*

HBR: total female Anopheles/total collection nights. Total collection nights are shown in brackets.

IRR adjusted for categorical Wealth Index I and all other SEP indicators, excluding all other wealth index variables. IRRs for the categorical Wealth Index II and continuous Wealth Indices I and II variables were adjusted for all other indicators of SEP, excluding all other wealth index variables.

Standardized wealth index scores were created by subtracting mean index scores and dividing by the standard deviation.