ArticleJournal of health, population, and nutrition2025
Novel anthropometric and lipid indices as predictors of chronic kidney disease: insights from a decade-long cohort study.
Article in Journal of health, population, and nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Risk association and diagnostic value of body roundness index for cardiovascular-kidney-metabolic-related outcomes: a systematic review and meta-analysis.Frontiers in endocrinology · 2026Pooled it
- Gender-Specific Predictive Utility of Twelve Anthropometric Indices for Metabolic Syndrome in Chinese Lahu Adults with Dyslipidemia.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Article
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Authors and funding
11 authors.
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No grant is acknowledged in the PubMed record.
Abstract
aimIn recent years, some studies have suggested that obesity and hyperlipidemia play a crucial role in chronic kidney disease (CKD); however, more research is needed. This study investigated the predictive role of lipid profiles and anthropometric indices in the incidence of CKD. METHODS AND MATERIALS: The study subjects were participants in the Mashhad Stroke and Heart Atherosclerotic Disorder (MASHAD), a prospective cohort study that began in 2010. Demographic information, anthropometric indices including body weight (BW), waist circumference (WC), hip circumference (HC), body mass index (BMI), waist-hip ratio (WHR), waist-height ratio (WHtR), body adiposity index (BAI), body roundness index (BRI), weight-adjusted waist index (WWI), A body shape index (ABSI), abdominal volume index (AVI), WC/height ratio, and hip/height ratio, as well as laboratory investigations (including lipid profile) were recorded. Development of CKD was determined in the follow-up visits ten years after the first visit.
resultsOut of the 6,935 patients (41% male), 3859 (55%) were diagnosed with CKD. After adjusting confounders including age, sex, marriage, job, education, and smoking, the analysis revealed that weight (RR = 1.010 (1.006-1.014), p < 0.001), HC (RR = 1.011 (1.005-1.017), p < 0.001), height (RR = 1.026 (1.018-1.034), p < 0.001), WWI (RR = 0.917 (0.869-0.967), p < 0.01), Arm/height (RR = 1.361 (1.109-1.671, p < 0.01), and demispan/ height (RR = 1.361 (1.109-1.671) p < 0.01) were independent predictors of CKD.
conclusionAnthropometric and lipid indices have the potential to identify individuals at higher risk of developing CKD. However, further research is necessary in this field.
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