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Chronic Kidney Disease Modifies The Relationship Between Body Fat Distribution and Blood Pressure: A Cross-Sectional Analysis.
George, Cindy; Matsha, Tandi E; Davidson, Florence E; Goedecke, Julia H; Erasmus, Rajiv T; Kengne, Andre P.
Affiliation
  • George C; Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa.
  • Matsha TE; SAMRC/CPUT/Cardiometabolic Health Research Unit, Department of Biomedical Sciences, Faculty of Health and Wellness Science, Cape Peninsula University of Technology, Cape Town, South Africa.
  • Davidson FE; SAMRC/CPUT/Cardiometabolic Health Research Unit, Department of Biomedical Sciences, Faculty of Health and Wellness Science, Cape Peninsula University of Technology, Cape Town, South Africa.
  • Goedecke JH; Department of Medical Imaging and Therapeutic Sciences, Faculty of Health and Wellness Science, Cape Peninsula University of Technology, Cape Town, South Africa.
  • Erasmus RT; Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa.
  • Kengne AP; Department of Human Biology, University of Cape Town, Cape Town, South Africa.
Int J Nephrol Renovasc Dis ; 13: 107-118, 2020.
Article in En | MEDLINE | ID: mdl-32494185
ABSTRACT

INTRODUCTION:

Measures of adiposity are related to cardiovascular disease risk, but this relationship is inconsistent in disease states, such as chronic kidney disease (CKD). This study investigated the relationship between adiposity and blood pressure (BP) by CKD status. MATERIALS AND

METHODS:

South Africans of mixed-ancestry (n=1,621) were included. Estimated glomerular filtration rate (eGFR) was based on the modification of diet in renal disease (MDRD) equation, and CKD defined as eGFR <60mL/min/1.73m2. Body fat distribution was assessed using anthropometry [body mass index (BMI) and waist circumference (WC)] and dual-energy x-ray absorptiometry (DXA) (n=152). Pulse pressure (PP) and mean arterial pressure (MAP) were calculated from systolic blood pressure (SBP) and diastolic blood pressure (DBP).

RESULTS:

In participants without CKD, anthropometric and DXA-derived measures positively correlated with SBP, DBP, MAP and PP (p<0.02 for all), except for leg fat mass (LFM), which was not associated with BP indices (p>0.100 for all). Contrary, in prevalent CKD (6%, n=96), only BMI was inversely associated with PP (p=0.0349). In multivariable analysis, only BMI and WC remained independently associated with SBP, DBP and MAP in the overall sample. Notably, the association between BMI, WC and LFM with SBP and PP, differed by CKD status (interaction p<0.100 for all), such that only BMI and WC were associated with SBP in those without CKD and inversely associated with PP in those with CKD. LFM was inversely associated with SBP and PP in those with CKD.

CONCLUSION:

In people without CKD, BP generally increases with increasing measures of adiposity. However, excess body fat has a seemingly protective or neutral effect on BP in people with CKD.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prevalence_studies / Risk_factors_studies Language: En Journal: Int J Nephrol Renovasc Dis Year: 2020 Document type: Article Affiliation country: South Africa

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prevalence_studies / Risk_factors_studies Language: En Journal: Int J Nephrol Renovasc Dis Year: 2020 Document type: Article Affiliation country: South Africa