Cargando…

Past Sodium Intake, Contemporary Sodium Intake, and Cardiometabolic Health in Southwest Coastal Bangladesh

BACKGROUND: We compared the relationship of past and contemporary sodium (Na) intake with cardiometabolic biomarkers. METHODS AND RESULTS: A total of 1191 participants' data from a randomized controlled trial in coastal Bangladesh were analyzed. Participants provided 24‐hour urine Na (24UNa) da...

Descripción completa

Detalles Bibliográficos
Autores principales: Naser, Abu Mohd, Rahman, Mahbubur, Unicomb, Leanne, Doza, Solaiman, Selim, Shahjada, Chaity, Monjila, Luby, Stephen P., Anand, Shuchi, Staimez, Lisa, Clasen, Thomas F., Gujral, Unjali P., Gribble, Matthew O., Narayan, K. M. Venkat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7727005/
https://www.ncbi.nlm.nih.gov/pubmed/32875927
http://dx.doi.org/10.1161/JAHA.119.014978
Descripción
Sumario:BACKGROUND: We compared the relationship of past and contemporary sodium (Na) intake with cardiometabolic biomarkers. METHODS AND RESULTS: A total of 1191 participants' data from a randomized controlled trial in coastal Bangladesh were analyzed. Participants provided 24‐hour urine Na (24UNa) data for 5 monthly visits. Their fasting blood glucose, total cholesterol, triglycerides, high‐density lipoprotein, blood pressure, and 24‐hour urine protein were measured at the fifth visit. Participants' mean 24UNa over the first 4 visits was the past Na, and 24UNa of the fifth visit was the contemporary Na intake. We estimated the prevalence ratios of elevated cardiometabolic biomarkers and metabolic syndrome across 24UNa tertiles by multilevel logistic regression using participant‐, household‐, and community‐level random intercepts. Models were adjusted for age, sex, body mass index, smoking, physical activity, alcohol consumption, sleep hours, religion, and household wealth. Compared with participants in tertile 1 of past urine Na, those in tertile 3 had 1.46 (95% CI, 1.08–1.99) times higher prevalence of prediabetes or diabetes mellitus, 5.49 (95% CI, 2.73–11.01) times higher prevalence of large waist circumference, and 1.60 (95% CI, 1.04–2.46) times higher prevalence of metabolic syndrome. Compared with participants in tertile 1 of contemporary urine Na, those in tertile 3 had 1.93 (95% CI, 1.24–3.00) times higher prevalence of prediabetes or diabetes mellitus, 3.14 (95% CI, 1.45–6.83) times higher prevalence of proteinuria, and 2.23 (95% CI, 1.34–3.71) times higher prevalence of large waist circumference. CONCLUSIONS: Both past and contemporary Na intakes were associated with higher cardiometabolic disease risk.