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Table 4 Among countries with over 10% purchased nets: factors associated with a purchased net being used the previous night

From: Who buys nets? Factors associated with ownership and use of purchased mosquito nets in sub-Saharan Africa

Country/data source

Angola 2015–2016 DHS

Madagascar 2016 MIS

Malawi 2017 MIS

Mali 2015 MIS

Tanzania 2017 MIS

Uganda 2016 DHS

Zimbabwe 2015 DHS

Adjusted odds of a purchased net being used the previous night: aORa (95% CI)

 Gender of head of household (ref: male)

  Female

0.8 (0.5,1.2)

1.7 (1.0,2.9)

1.1 (0.8,1.5)

n/aa

1.14 (0.8,1.7)

1.12 (0.8,1.5)

1.1 (0.8,1.5)

 Age of head of household in years (ref: < 35)

  35–59

1.1 (0.7,1.6)

1.3 (0.8,2.1)

0.9 (0.7,1.3)

0.7 (0.1,3.6)

1.0 (0.7,1.3)

1.1 (0.9,1.5)

1.4 (1.0,2.0)

  60+

0.8 (0.3,1.7)

1.2 (0.5, 2.9)

1.4 (0.8,2.5)

1.2 (0.2,7.0)

0.9 (0.6,1.4)

1.2 (0.8,1.8)

0.7 (0.4,1.3)

 Education of head of household (ref: none)

  Primary

1.0 (0.5,2.0)

n/ac

1.2 (0.7,2.0)

n/ac

n/ac

0.7 (0.4,1.5)

1.7 (0.3,8.8)

  ≥ Secondary

1.4 (0.7,2.8)

n/ac

1.2 (0.7,2.0)

n/ac

n/ac

0.7 (0.4,1.5)

0.8 (0.2,4.5)

 Household net supply (nets/person; ref: some but not enough (< 0.5 net/person))

  Enough (0.5–1 net/person)

0.6 (0.4,1.0)

0.5 (0.3,0.9)

0.7 (0.5,1.1)

1.6 (0.7,3.8)

0.8 (0.5,1.3)

0.5 (0.4,0.8)

1.2 (0.7,2.1)

  Too many (> 1 net/person)

0.1 (0.0,0.3)

0.2 (0.1,0.8)

0.2 (0.1,0.4)

n/ab

0.2 (0.1,0.4)

0.1 (0.1,0.2)

0.7 (0.2,2.2)

 Insecticide-treatment status of nets (ref: non-ITN)

  ITN

1.2 (0.8,1.9)

1.4 (0.8,2.3)

1.7 (1.3,2.3)

1.1 (0.3,3.9)

1.2 (0.8,1.9)

2.3 (1.5,3.3)

1.0 (0.7,1.5)

 Age of the net (ref: ≤ 6 months)

  7–12 months

1.4 (0.9,2.2)

1.0 (0.5,1.9)

0.8 (0.6,1.2)

3.9 (1.0,14.8)

0.9 (0.6,1.4)

1.2 (0.9,1.6)

1.0 (0.7,1.6)

  13–24

2.0 (1.1,3.4)

0.7 (0.3,1.5)

0.7 (0.5,1.1)

3.6 (0.7,17.7)

0.9 (0.6,1.5)

0.8 (0.6,1.1)

0.8 (0.5,1.3)

  ≥ 25 months

1.0 (0.6,1.6)

0.5 (0.3,0.8)

0.7 (0.5,1.1)

1.4 (0.5,4.0)

0.8 (0.5,1.2)

0.6 (0.4,0.9)

0.6 (0.4,0.9)

 Presence of public sector net in the household (ref: no)

  Yes

0.9 (0.5,1.6)

0.8 (0.4,1.5)

1.1 (0.8,1.5)

0.6 (0.2,2.2)

0.8 (0.6,1.1)

1.0 (0.7,1.3)

0.9 (0.6,1.4)

 Presence of currently/recently pregnant woman (ref: no)

  Yes

1.5 (1.0,2.1)

1.1 (0.6,1.8)

1.0 (0.7,1.5)

0.9 (0.3,2.6)

1.5 (1.0,2.2)

0.8 (0.7,1.1)

1.3 (0.9,1.9)

 Presence of a child under 5 years old (ref: no)

  Yes

1.0 (0.7,1.4)

0.7 (0.4,1.1)

0.8 (0.6,1.2)

1.0 (0.3,3.5)

1.2 (0.9,1.7)

1.1 (0.8,1.5)

1.0 (0.7,1.5)

 Presence of a school aged child (ref: no)

  Yes

0.8 (0.5,1.2)

1.1 (0.7,1.7)

1.2 (0.9,1.6)

2.6 (0.6,10.8)

1.4 (0.9,2.2)

1.3 (1.1,1.7)

0.7 (0.5,1.0)

 Residence (ref: rural)

  Urban

1.0 (0.5,2.0)

0.7 (0.4,1.4)

1.7 (1.3,2.3)

0.8 (0.3,1.9)

1.4 (1.0,2.1)

1.3 (0.9,1.8)

1.8 (0.7,4.2)

 Wealth quintile (ref: poorest)

  Poorer

2.3 (1.1,4.9)

0.9 (0.3,2.4)

0.8 (0.3,1.8)

3.0 (1.4,6.5)

0.7 (0.4,1.3)

2.3 (0.5,10.3)

  Middle

3.6 (1.4,9.0)

1.5 (0.5,4.3)

1.3 (0.6,2.9)

0.4 (0.1,2.6)

2.4 (1.1,5.3)

0.5 (0.2,0.9)

1.8 (0.4,7.8)

  Richer

2.5 (0.9,6.4)

1.2 (0.5,3.0)

1.1 (0.5,2.2)

0.3 (0.1,2.1)

3.1 (1.7,5.9)

0.5 (0.3,0.8)

1.0 (0.2,4.7)

  Richest

1.6 (0.6,4.1)

1.2 (0.5,3.2)

1.0 (0.5,2.1)

0.3 (0.1,1.3)

2.8 (1.5,5.2)

0.5 (0.3,0.9)

1.0 (0.2,4.7)

  N of nets from private source

2641

1364

4131

1871

2634

5105

2415

  1. Italicized values are statistically significant with P < 0.05
  2. CI confidence interval, HH households, ITN insecticide-treated nets, N number, n/a not applicable, aOR adjusted odds ratio, ref reference
  3. aAdjusted for gender, age and education of head of household, household net supply, insecticide treatment status and age of nets, presence of public-sector net in the household, presence of currently/recently pregnant woman, child under 5 years old, or school aged child in the household, residence, wealth quintile and region (shown in Additional file 1: Table S3)
  4. bThe variable was dropped in the logistic regression due to small sample size or there were no observations
  5. cThere was no variable for education level of head of household in the dataset