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Table 4 Odds ratio of malarial infection for each cooking practices for the combined dataset, exploratory and sub-analysis

From: Cooking outdoors or with cleaner fuels does not increase malarial risk in children under 5 years: a cross-sectional study of 17 sub-Saharan African countries

Analysis

Outcome

Analysis 1

Biomass vs cleaner cooking

Analysis 2

Wood vs charcoal cooking

Analysis 3

Cooking location

Cooking fuel

AOR [95% CI]

p value

N

Cooking fuel

AOR [95% CI]

p value

N

Type of cooking location

AOR [95% CI]

p value

N

 Combined dataset*

RDT

Cleaner

Ref.

  

Charcoal

Ref.

  

Indoor

Ref.

  

Biomass

1.57 [1.30–1.91]

< 0.001

43,759

Wood

1.77 [1.54–2.04]

< 0.001

73,072

In a separate building

0.74 [0.66–0.83]

< 0.001

23,754

Outdoor

0.94 [0.83–1.05]

0.26

Microscopy

Cleaner

Ref.

  

Charcoal

Ref.

  

Indoor

Ref.

  

Biomass

1.58 [1.23–2.04]

< 0.001

30,007

Wood

1.21 [1.08–1.37]

0.001

46,206

In a separate building

0.75 [0.67–0.84]

< 0.001

21,383

Outdoor

0.97 [0.86–1.09]

0.58

Sub-analysis

 Rural areas

RDT

Cleaner

Ref.

  

Charcoal

Ref.

  

Indoor

Ref.

  

Biomass

1.41 [1.02–1.95]

0.04

31,100

Wood

1.43 [1.21–1.70]

< 0.001

54,473

In a separate building

0.70 [0.62–0.80]

< 0.001

16,988

Outdoor

0.91 [0.79–1.04]

0.17

Microscopy

Cleaner

Ref.

  

Charcoal

Ref.

  

Indoor

Ref.

  

Biomass

2.10 [1.34–3.32]

0.001

20,290

Wood

1.09 [0.91–1.30]

0.36

34,693

In a separate building

0.73 [0.64–0.84]

< 0.001

15,193

Outdoor

0.92 [0.80–1.07]

0.28

 Urban areas

RDT

Cleaner

Ref.

  

Charcoal

Ref.

  

Indoor

Ref.

  

Biomass

1.58 [1.24–2.03]

< 0.001

12,659

Wood

2.23 [1.79–2.78]

< 0.001

18,599

In a separate building

0.96 [0.78–1.19]

0.72

6766

Outdoor

0.99 [0.81–1.21]

0.90

Microscopy

Cleaner

Ref.

  

Charcoal

Ref.

  

Indoor

Ref.

  

Biomass

1.30 [0.96–1.76]

0.09

9717

Wood

1.40 [1.20–1.64]

< 0.001

11,513

In a separate building

0.86 [0.69–1.07]

0.17

6190

Outdoor

1.08 [0.90–1.31]

0.40

 Mesoendemic areas

RDT

Cleaner

Ref.

  

Charcoal

Ref.

  

Indoor

Ref.

  

Biomass

1.58 [1.28–1.95]

< 0.001

35,167

Wood

1.77 [1.49–2.09]

< 0.001

57,814

In a separate building

0.73 [0.65–0.82]

< 0.001

20,349

Outdoor

0.92 [0.81–1.05]

0.22

Microscopy

Cleaner

Ref.

  

Charcoal

Ref.

  

Indoor

Ref.

  

Biomass

1.59 [1.21–2.08]

0.001

23,519

Wood

1.26 [1.10–1.44]

0.001

35,898

In a separate building

0.73 [0.65–0.83]

< 0.001

18,209

Outdoor

0.94 [0.83–1.08]

0.37

 Wood only

RDT

        

Indoor

Ref.

  
        

In a separate building

0.75 [0.67–0.85]

< 0.001

19,406

        

Outdoor

0.90 [0.79–1.02]

0.10

Microscopy

        

Indoor

Ref.

  
        

In a separate building

0.77 [0.67–0.87]

< 0.001

17,244

        

Outdoor

0.94 [0.82–1.08]

0.36

Exploratory analysis

 Controlling for household mosquito spraying

RDT

Cleaner

Ref.

  

Charcoal

Ref.

  

Indoor

Ref.

  

Biomass

1.23 [0.94–1.61]

0.14

26,778

Wood

1.94 [1.62–2.33]

< 0.001

36,898

In a separate building

0.85 [0.73–0.99]

0.03

9951

Outdoor

0.95 [0.81–1.10]

0.47

Microscopy

Cleaner

Ref.

  

Charcoal

Ref.

  

Indoor

Ref.

  

Biomass

1.07 [0.77–1.47]

0.69

18,102

Wood

1.30 [1.13–1.49]

< 0.001

27,115

In a separate building

0.76 [0.65–0.88]

< 0.001

9676

Outdoor

0.92 [0.79–1.07]

0.29

  1. AOR Adjusted odds ratio, 95% CI 95% confidence interval, N Number of observations, RDT Rapid diagnostic test, Ref Reference group. Results in bold are statistically significant. Unadjusted results are in Additional file 3: Table S3.1
  2. *Controlled for: Child’s age, child’s gender, birth order, Child slept under slept under mosquito net last night, modified wealth index, number of household members, place of residence, malarial endemicity, season and cluster altitude
  3. Burkina Faso 2017–2018, Cameron 2018, DRC 2013–2014, Malawi 2017, Mali 2018, Nigeria 2018, Tanzania 2017 and Togo 2017 were excluded due to the household mosquito spraying variable being incomplete, high level of missing or low cell counts