Childhood obesity has been associated with increased sodium intake. Nonetheless, evidence linking sodium intake to Body Mass Index (BMI) and Body Fat Mass Percentage (%BF) remains limited, especially in the pediatric age group. Therefore, this study aims to investigate whether there is an association between 24 h urinary sodium excretion with BMI and %BF in a sample group of children from the ARIA study. This cross-sectional analysis included 303 children aged 7 to 12 from across 20 public schools in Porto, Portugal. Weight and %BF were assessed using the Tanita™ BC-418 Segmental Body Analyzer. Children's Total Energy Intake (TEI) was estimated through a single 24 h Recall Questionnaire, and urinary sodium and potassium excretion was estimated by a 24 h urine collection. The association of %BF and BMI with 24 h sodium excretion was estimated by a binary logistic regression adjusted for sex, age, physical activity, total energy intake, parental education, and 24 h urinary excreted potassium. There was a significant positive association between higher levels of urinary sodium excretion and higher %BF values, even after adjusting for confounders. However, the same was not observed for BMI. Our findings suggest that higher sodium intake is associated with higher values of %BF among children, regardless of TEI and potassium intake.
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http://dx.doi.org/10.3390/nu16081197 | DOI Listing |
J Hypertens
January 2025
Centre for Public Health & Policy, Wolfson Institute of Population Health, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London, United Kingdom.
Objectives: To test the hypothesis that the association of formula-estimated sodium intake from spot urine with cardiovascular disease is independent of spot urinary sodium concentration.
Methods: We included 435 336 participants in the UK Biobank whose sodium intake was estimated from spot urine using INTERSALT, Kawasaki, and Tanaka formulas. Hazard ratios for cardiovascular disease (CVD) events and deaths were estimated using Cox proportional-hazard model adjusted for multiple covariates.
Am J Phys Med Rehabil
December 2024
Department of Physical Medicine and Rehabilitation, Medical College of Wisconsin, 8701 W Watertown Plank Rd, Milwaukee, WI, 53226.
Predicting discharge destination for patients at inpatient rehabilitation facilities is important as it facilitates transitions of care and can improve healthcare resource utilization. This study aims to build on previous studies investigating discharges from inpatient rehabilitation by employing machine learning models to predict discharge disposition to home versus non-home and explore related factors. Fifteen machine learning models were tested.
View Article and Find Full Text PDFJCI Insight
January 2025
Center for Precision Medicine, Department of Medicine, and.
The role played by anionic channels in diabetic kidney disease (DKD) is not known. Chloride channel accessory 1 (CLCA1) facilitates the activity of TMEM16A (Anoctamin-1), a Ca2+-dependent Cl- channel. We examined if CLCA1/TMEM16A had a role in DKD.
View Article and Find Full Text PDFCrit Care Resusc
December 2024
Department of Intensive Care, Austin Hospital, Melbourne, VIC, Australia.
Background: Severe intensive care unit-acquired hypernatraemia (ICU-AH) is a serious complication of critical illness. However, there is no detailed information on how this condition develops.
Objectives: The objective of this study was to study the prevalence, risk factors, trajectory, management, and outcome of severe ICU-AH (≥155 mmol·L).
Sheng Li Xue Bao
December 2024
Department of Physiology, Zhuhai Campus of Zunyi Medical University, Zhuhai 519040, China.
The aim of this study was to conduct experiments using laser speckle contrast imaging (LSCI) technology to investigate the effects of high salt diet on renal vascular reactivity in mice. LSCI is a technology for monitoring blood flow based on the laser speckle principle. It has been widely used to detect microcirculatory functions in tissues such as the skin and brain.
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