Atherogenic index of plasma and risk of cardiovascular disease among Cameroonian postmenopausal women

Lipids in Health and Disease

Research

Bertrand Zing-Awona¹  Jobert Richie N. Nansseu²  Gladys Tchanana³  Arthur Ketcha³  Murielle Elsa D. Nouaga³  Vicky Jocelyne Ama Moor⁴ 

[1] Department of Public Health, Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, PO Box 1364, Yaoundé, Cameroon;Mathematical Engineering and Information System Laboratory, National Advanced School of Engineering, University of Yaoundé I, Yaoundé, Cameroon;African Center of Excellence in Information and Communication Technologies, Yaoundé, Cameroon;Department of Public Health, Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, PO Box 1364, Yaoundé, Cameroon;Sickle Cell Disease Unit, Mother and Child Centre, Chantal Biya Foundation, Yaoundé, Cameroon;School of Health Sciences, Catholic University of Central Africa, Yaoundé, Cameroon;School of Health Sciences, Catholic University of Central Africa, Yaoundé, Cameroon;Laboratory of Biochemistry, Yaoundé University Teaching Hospital, Yaoundé, Cameroon;Department of Physiological Sciences and Biochemistry, Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon;

关键词: Atherogenic index of plasma;    Menopause;    Cardiovascular disease;    Cameroon;   

DOI  :  10.1186/s12944-016-0222-7

 received in 2015-09-02, accepted in 2016-03-04,  发布年份 2016

来源: Springer

【 摘 要 】

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.MethodsThis 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).ResultsMean 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; R2 = 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; R2 = 0.486).ConclusionAIP 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.

【 授权许可】

CC BY   
© Nansseu et al. 2016