ArticleArchives of medical sciences. Atherosclerotic diseases2024
Exploring the link between kidney dimensions and anthropometric measurements: insights from a Saudi population study.
Article in Archives of medical sciences. Atherosclerotic diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Renal Ultrasonography Screening: A Comparison Between Male and Female Cohorts of University Students.Cureus · 2026Article
- Limitations of ultrasonic renal length in assessing renal fibrosis: complex relationships between heterogeneity and morphologic changes.Clinical and experimental nephrology · 2025Article
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Authors and funding
8 authors.
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Abstract
Introduction: Ultrasound (US) measurements of kidney dimensions are essential for correlating with height, weight, and body mass index (BMI), establishing kidney size baselines, and assessing renal health. The global rise in obesity has increased interest in the links between BMI and chronic kidney disease (CKD). This study investigates the relationship between renal dimensions (length, width, and thickness) and anthropometric measures (height, weight, and BMI) in a Saudi population. Material and methods: A cross-sectional study was conducted at two ultrasound clinics in Riyadh, Saudi Arabia, with 129 participants (73 males and 56 females) aged 18-60 years. Kidney dimensions were measured using ultrasound machines. Spearman correlation assessed relationships between kidney dimensions and age, height, weight, and BMI, while the Mann-Whitney U test investigated sex differences. Results: Significant correlations were identified between kidney dimensions and anthropometric measures. Age negatively correlated with kidney thickness for both kidneys (right: Conclusions: This study establishes significant correlations between renal dimensions and anthropometric measures in a Saudi population, highlighting the importance of considering individual characteristics in renal assessments. These findings support the development of personalized clinical guidelines for improved renal condition management.
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