Research Article

Factors Associated with Malaria Preventive Measures among Pregnant Women in Guinea

Table 2

Association of preventive measures and sociodemographic and obstetrical characteristics.

FactorsMalaria preventive measures value
FullPartial

Age (years)0.028
14-1811.2%(8.64%, 14.1%)15.6%(13.9%, 17.4%)
19-3583.1%(79.6%, 86.1%)79.8%(77.8%, 81.7%)
36-455.77%(3.96%, 8.09%)4.62%(3.67%, 5.72%)
Matrimonial status<0.001
Single8.75%(6.50%, 11.5%)18.4%(16.6%, 20.3%)
Married91.2%(88.5%, 93.5%)81.6%(79.7%, 83.4%)
Gestational age (weeks)0.128
Normal74.9%(71.0%, 78.5%)71.4%(69.2%, 73.5%)
Preterm25.1%(21.5%, 29.0%)28.6%(26.5%, 30.8%)
The duration of stay<0.001
<6 months5.21%(3.49%, 7.45%)12.0%(10.5%, 13.6%)
≥6 months94.8%(92.6%, 96.5%)88.0%(86.4%, 89.5%)
Residence<0.001
Urban92.7%(90.2%, 94.8%)79.3%(77.3%, 81.2%)
Rural7.26%(5.22%, 9.79%)20.7%(18.8%, 22.7%)
Source of drinking water<0.001
Tap41.5%(37.3%, 45.8%)34.9%(32.6%, 37.2%)
Well2.98%(1.71%, 4.79%)0.76%(0.41%, 1.30%)
Drilling46.4%(42.1%, 50.7%)51.6%(49.2%, 54.0%)
Rainwater9.12%(6.83%, 11.9%)12.7%(11.2%, 14.4%)
Element of comfort<0.001
Air conditioner11.4%(8.80%, 14.4%)3.57%(2.74%, 4.56%)
Fan56.2%(51.9%, 60.5%)38.7%(36.4%, 41.0%)
None32.4%(28.5%, 36.5%)57.7%(55.4%, 60.1%)
Levels of education<0.001
No formal education18.1%(14.9%, 21.6%)9.47%(8.12%, 11.0%)
Primary school37.8%(33.7%, 42.1%)50.6%(48.2%, 53.0%)
Secondary school11.9%(9.30%, 15.0%)14.4%(12.7%, 16.1%)
University32.2%(28.3%, 36.4%)25.6%(23.5%, 27.7%)
Parturient’s occupation0.085
Housewife52.7%(48.4%, 57.0%)57.9%(55.5%, 60.3%)
Freelance33.3%(29.4%, 37.5%)30.5%(28.3%, 32.8%)
Civil servant14.0%[(11.1%, 17.2%)11.6%(10.1%, 13.2%)
Head of the household occupation<0.001
Civil servant25.3%(21.7%, 29.2%)26.7%(24.6%, 28.8%)
Farmer11.7%(9.13%, 14.8%)20.4%(18.5%, 22.4%)
Freelance59.8%(55.5%, 64.0%)49.1%(46.7%, 51.5%)
Unemployed3.17%(1.85%, 5.02%)3.86%(3.00%, 4.88%)
Couple regimen<0.001
Monogamous66.1%(61.9%, 70.1%)53.8%(51.4%, 56.2%)
Polygamous25.0%(21.3%, 28.8%)27.5%(25.4%, 29.7%)
Single8.94%(6.66%, 11.7%)18.7%(16.9%, 20.6%)
Stagnant water0.057
No60.5%(56.2%, 64.7%)65.2%(62.9%, 67.4%)
Yes39.5%(35.3%, 43.8%)34.8%(32.6%, 37.1%)
Rubbish<0.001
Yes30.4%(26.5%, 34.4%)39.9%(37.6%, 42.3%)
No69.6%(65.6%, 73.5%)60.1%(57.7%, 62.4%)
Means of transportation<0.001
Personal car19.7%(16.5%, 23.4%)18.6%(16.8%, 20.5%)
Walking25.1%(21.5%, 29.0%)37.9%(35.6%, 40.2%)
Taxi55.1%(50.8%, 59.4%)43.5%(41.2%, 45.9%)
Distance home-health centre (5 km radius)0.004
Yes74.7%(70.8%, 78.3%)80.5%(78.6%, 82.4%)
No25.3%(21.7%, 29.2%)19.5%(17.6%, 21.4%)
ANC<0.001
Adequate45.4%(41.2%, 49.8%)75.2%(73.1%, 77.2%)
Inadequate54.6%(50.2%, 58.8%)24.8%(22.8%, 26.9%)
Gravidity0.062
Primigravid33.7%(29.7%, 37.9%)37.5%(35.2%, 39.9%)
Paucigravid42.6%(38.4%, 47.0%)37.0%(34.7%, 39.3%)
Multigravid23.6%(20.1%, 27.5%)25.5%(23.4%, 27.6%)
Parity0.095
Primiparous0.74%(0.20%, 1.90%)0.47%(0.20%, 0.92%)
Pauciparous67.4%(63.3%, 71.4%)63.0%(60.7%, 65.3%)
Multiparous31.8%(27.9%, 36.0%)36.5%(34.2%, 38.9%)
Other antimalarial drugs<0.001
Yes22.3%(18.9%, 26.1%)31.3%(29.1%, 33.6%)
No77.7%(73.9%, 81.1%)68.7%(66.4%, 70.9%)
Traditional medicine<0.001
Yes22.2%(18.7%, 25.9%)33.3%(31.0%, 35.5%)
No77.8%(74.1%, 81.3%)66.7%(64.5%, 69.0%)