ArticleMedical science monitor : international medical journal of experimental and clinical research2012
How well do anthropometric indices correlate with cardiovascular risk factors? A cross-sectional study in Croati.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Urban-rural differences in the association between blood lipids and characteristics of the built environment: a systematic review and meta-analysis.BMJ global health · 2019Article
- Restless legs syndrome and hypertension in Chinese pregnant women.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2015Article
- The association of Restless Legs Syndrome with hypertension and cardiovascular disease.Medical science monitor : international medical journal of experimental and clinical research · 2014Review
- Anthropometric risk factors and predictors of hypertension among Saudi adult population - a national survey.Journal of epidemiology and global health · 2013Article
- Diversity of metabolic syndrome criteria in association with cardiovascular diseases--a family medicine-based investigation.Medical science monitor : international medical journal of experimental and clinical research · 2013Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUsefulness of anthropometric indices (AI) as predictors of CV risk is unclear and remains controversial. MATERIAL/
methodsTo evaluate the correlation between AI and CV risk factors in the Croatian adult population and to observe possible differences between coastal and inland regions and urban and rural settlements. CRISIC-fm (ISRCTN31857696) is a prospective, randomized cohort study conducted in GP (general practitioner) practices in Croatia. Between May and July 2008, 59 GPs each recruited 55 participants aged ≥ 40 years, who visited a practice for any reason. Height, weight, waist and hip circumference and blood pressure were measured. Blood samples were analyzed in accredited laboratories.
resultsOut of 2467 participants (61.9% women, 38.1% men), 36.3% were obese, with fewer in coastal than inland areas. More obese people were in rural areas. Logistic regression showed BMI was the most important predictor of hypertension, diabetes and dyslipidemia in both regions (except for diabetes in the coastal area), and for urban and rural settlements (except for diabetes in rural areas). WtHR was a significant predictor for hypertension and dyslipidemia in the coastal (but only for hypertension in the inland area), and in urban settlements (in rural only for hypertension). None of the AI showed significant correlation with total CV risk, but WC and BMI did with stroke risk. Receiver operating curve (ROC) analyses showed that WtHR was a better predictor than all other AI for hypertension and dyslipidemia.
conclusionsResults encourage the use of BMI and WtHR as important tools in predicting CV risk in GP's practice.
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