title: Atherogenic index of plasma and risk of cardiovascular disease among Cameroonian postmenopausal women.
abstract: BACKGROUND
  The paucity of data regarding the relationship between atherogenic index of plasma (AIP) and risk of cardiovascular disease (CVD) in postmenopausal women living in sub-Saharan Africa prompted us to conduct this study which aimed at assessing the interplay between AIP and risk of CVD among Cameroonian postmenopausal women.
  
  
  METHODS
  This was a cross-sectional study conducted among 108 postmenopausal women in Yaoundé, Cameroon. Risk of CVD was calculated using the Framingham risk score, (FRS), and the AIP was derived as log (triglycerides/high-density lipoproteins cholesterol).
  
  
  RESULTS
  Mean age of participants equaled 56.4 ± 6.9 years. AIP values ranged from -0.40 to 0.85 with a mean of 0.21 ± 0.27. There was a positive and significant correlation between AIP and body mass index (r = 0.234; p = 0.015), systolic blood pressure (r = 0.350; p < 0.001), diastolic blood pressure (r = 0.365; p < 0.001), fasting plasma glucose (r = 0.314; p = 0.001), uric acid (r = 0.374; p < 0.001), and total cholesterol (r = 0.374; p < 0.001), but not with age (r = -0.104; p = 0.284). The FRS varied between 1.2 % and >30 % with a mean of 13.4 ± 8.7 %. In univariable model, AIP significantly influenced the risk of CVD (β = 11.94; p < 0.001; R(2) = 0.136). But in the multivariable model, after adjusting for confounders, AIP did not impact the risk of CVD anymore (adjusted β = 1.98; p = 0.487; R(2) = 0.486).
  
  
  CONCLUSIONS
  AIP may not be an independent factor impacting the risk of CVD among Cameroonian postmenopausal women. More studies are needed to better elucidate the interaction between AIP and risk of CVD in our setting.
authors.affiliation: Department of Public Health, Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, PO Box 1364, Yaoundé, Cameroon. jobertrichie_nansseu@yahoo.fr.|Sickle Cell Disease Unit, Mother and Child Centre, Chantal Biya Foundation, Yaoundé, Cameroon. jobertrichie_nansseu@yahoo.fr.
authors.forename: Jobert Richie N
authors.initials: JR
authors.lastname: Nansseu
authors.affiliation: School of Health Sciences, Catholic University of Central Africa, Yaoundé, Cameroon. movicky@yahoo.fr.|Laboratory of Biochemistry, Yaoundé University Teaching Hospital, Yaoundé, Cameroon. movicky@yahoo.fr.|Department of Physiological Sciences and Biochemistry, Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon. movicky@yahoo.fr.
authors.forename: Vicky Jocelyne Ama
authors.initials: VJ
authors.lastname: Moor
authors.affiliation: School of Health Sciences, Catholic University of Central Africa, Yaoundé, Cameroon. enouaga@yahoo.fr.
authors.forename: Murielle Elsa D
authors.initials: ME
authors.lastname: Nouaga
authors.affiliation: Department of Public Health, Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, PO Box 1364, Yaoundé, Cameroon. bertrand.zing@yahoo.fr.|Mathematical Engineering and Information System Laboratory, National Advanced School of Engineering, University of Yaoundé I, Yaoundé, Cameroon. bertrand.zing@yahoo.fr.|African Center of Excellence in Information and Communication Technologies, Yaoundé, Cameroon. bertrand.zing@yahoo.fr.
authors.forename: Bertrand
authors.initials: B
authors.lastname: Zing-Awona
authors.affiliation: School of Health Sciences, Catholic University of Central Africa, Yaoundé, Cameroon. tchanana2002@yahoo.fr.
authors.forename: Gladys
authors.initials: G
authors.lastname: Tchanana
authors.affiliation: School of Health Sciences, Catholic University of Central Africa, Yaoundé, Cameroon. ketcha_arthur@yahoo.fr.
authors.forename: Arthur
authors.initials: A
authors.lastname: Ketcha
mesh_terms: D000368:Aged; D050197:Atherosclerosis / Q000097:blood; D001786:Blood Glucose / Q000378:metabolism; D001794:Blood Pressure / Q000502:physiology; D002163:Cameroon; D002318:Cardiovascular Diseases / Q000097:blood*; D002784:Cholesterol / Q000097:blood; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D008875:Middle Aged; D017698:Postmenopause / Q000097:blood*; D012307:Risk Factors; D014527:Uric Acid / Q000097:blood
chemical_list: D001786:Blood Glucose; D014527:Uric Acid; D002784:Cholesterol