AIM: This study aimed to analyze the extent of major noncommunicable diseases and their common risk factors in Burkina Faso. MATERIALS AND METHODS: It was an analysis based on secondary data from the 2013 national STEPS survey in Burkina Faso. The analysis conducted in 2018 concerned behavioral risk factors and metabolic factors. A multiple regression model was used to determine the independent factors associated with these diseases. RESULTS: The independent variables associated with behavioral risk factors were 1) young age(OR=0, 4423; p< 0,001) and males(OR=0,0030 ; p< 0,001) for smoking, 2) older age (OR= 2,01 ; p= 0,0066 and OR=2,18 ; p< 0,001) and males(OR=2,18 ; p< 0,001) for drinking and harmful use of alcohol, and 3) young age(OR=0,34 ; p< 0,001) and the urban environment(OR=1,57 ; p= 0,0236) for physical inactivity. The independent variables associated with metabolic risk factors were 1) young age (OR=1,33 ; p= 0,0295) and urban (OR=0,31 ; p<0,001) for overweight, 2) female(OR=2,55 ; p= 0,0010) and urban(OR= 0,13; p< 0,001) for obesity, and 3) advanced age(OR=2,49 ; p< 0,001and OR= 2,12 ; p= 0,0115), and urban setting(OR=0,47 ; p< 0,001 and OR= 0,49 ;p= 0,0320) for high blood pressure and diabetes. CONCLUSION: In Burkina Faso, prevention and health promotion actions to reduce these risk factors need to be stepped up with a multi-sectoral approach. Le comitée de rédaction se réserve le droit de revoyer aux auteurs avant toute soumission à l'avis des lecteurs les manuscrits qui ne seraient pas conformes à ces modalités de présentation. En outre il leur conseille de sonserver un examplaire du manuscrit, des figures et des tableaux.
AIM: This study aimed to analyze the extent of major noncommunicable diseases and their common risk factors in Burkina Faso. MATERIALS AND METHODS: It was an analysis based on secondary data from the 2013 national STEPS survey in Burkina Faso. The analysis conducted in 2018 concerned behavioral risk factors and metabolic factors. A multiple regression model was used to determine the independent factors associated with these diseases. RESULTS: The independent variables associated with behavioral risk factors were 1) young age(OR=0, 4423; p< 0,001) and males(OR=0,0030 ; p< 0,001) for smoking, 2) older age (OR= 2,01 ; p= 0,0066 and OR=2,18 ; p< 0,001) and males(OR=2,18 ; p< 0,001) for drinking and harmful use of alcohol, and 3) young age(OR=0,34 ; p< 0,001) and the urban environment(OR=1,57 ; p= 0,0236) for physical inactivity. The independent variables associated with metabolic risk factors were 1) young age (OR=1,33 ; p= 0,0295) and urban (OR=0,31 ; p<0,001) for overweight, 2) female(OR=2,55 ; p= 0,0010) and urban(OR= 0,13; p< 0,001) for obesity, and 3) advanced age(OR=2,49 ; p< 0,001and OR= 2,12 ; p= 0,0115), and urban setting(OR=0,47 ; p< 0,001 and OR= 0,49 ;p= 0,0320) for high blood pressure and diabetes. CONCLUSION: In Burkina Faso, prevention and health promotion actions to reduce these risk factors need to be stepped up with a multi-sectoral approach. Le comitée de rédaction se réserve le droit de revoyer aux auteurs avant toute soumission à l'avis des lecteurs les manuscrits qui ne seraient pas conformes à ces modalités de présentation. En outre il leur conseille de sonserver un examplaire du manuscrit, des figures et des tableaux.
Entities:
Keywords:
STEPS survey; enquête STEPS; facteurs de risque; maladies non transmissibles; noncommunicable diseases; risk factors
Authors: Aimé C Mwana-Wabene; Samuel M Lwamushi; Christian M Eboma; Pacifique M-B Lyabayungu; Bonfils Cheruga; Hermès Karemere; Albert T Mwembo; Ghislain B Balaluka; Faustin C Mukalenge Journal: Afr J Prim Health Care Fam Med Date: 2022-09-29