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Background: The weight-adjusted waist index (WWI) is a new measure of obesity, and this study aimed to determine the association between the WWI and stroke.
Methods: Using the National Health and Nutrition Examination Survey (NHANES) 2011-2020 dataset, cross-sectional data from 23,389 participants were analysed. The correlation between the WWI and stroke was investigated through multivariate logistic regression and smoothing curve fitting. Subgroup analysis and interaction tests were also carried out.
Results: The research involved 23,389 participants, of whom 893 (3.82%) had a stroke. The fully adjusted model revealed a positive correlation between the WWI and stroke [1.25 (1.05, 1.48)]. Individuals who were in the highest quartile of WWI exhibited a 62% higher likelihood of experiencing a stroke than those in the lowest quartile [1.62 (1.06, 2.48)]. Subgroup analysis and interaction tests revealed that this positive correlation was similar in different population settings (all P for interaction > 0.05).
Conclusion: A higher WWI was associated with a higher prevalence of stroke. The results of this study underscore the value of the WWI in stroke prevention and management.
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http://dx.doi.org/10.1186/s12889-023-16621-8 | DOI Listing |
J Stroke Cerebrovasc Dis
October 2025
Department of Neurology, Xiangya Hospital, Central South University, Jiangxi (National Regional Center for Neurological Diseases) No, 266 Fenghe North Avenue, Honggutan District, Nanchang, Jiangxi 330038, China; Department of Neurology, Jiangxi Provincial People's Hospital, The First Affiliated Hosp
Background: Insulin resistance (IR) is closely associated with stroke risk. The triglyceride glucose-weight-adjusted waist index (TyG-WWI) is a novel biomarker for IR estimation. However, the relationship between the TyG-WWI index and stroke risk in the general population remains unexplored.
View Article and Find Full Text PDFBMC Public Health
August 2025
Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No. 1 Shuaifuyuan, Dongcheng District, Bei
Background: The waist circumference (WC), waist-to-height ratio (WHtR), waist divided by height(WHT.5R), and weight-adjusted waist index (WWI) are four anthropometric indices evaluating obesity, but the association with cardiovascular diseases in diabetic population remain unclear.
Methods: We extracted data from the National Health and Nutrition Examination Survey (NHANES1999-2016),and 7000 patients with diabetes were eligible.
Popul Health Metr
August 2025
International UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.
Introduction: Dyslipidemia as a modifiable risk factor for chronic non-communicable diseases has become a worldwide concern. We aim to explore different anthropometric measures as predictors of dyslipidemia using various machine learning methods.
Method: From the baseline of the Mashhad Stroke and Heart Atherosclerotic Disorder (MASHAD) study, a total of 9,640 participants were included in the analysis.
Geroscience
August 2025
Institute of Clinical Medicine, Department of Medicine, University of Eastern Finland, Kuopio, Finland.
The weight-adjusted waist index (WWI) is a novel anthropometric measure designed to better reflect central obesity than traditional indices such as body mass index and waist circumference (WC). This study examined the prospective association between WWI and cardiometabolic multimorbidity (CMM) and evaluated its predictive utility. We included 3,348 participants (mean age 63 years; 45.
View Article and Find Full Text PDFFront Nutr
July 2025
Department of Hospital Infection Prevention and Control, Hunan University of Medicine General Hospital, Huaihua, Hunan, China.
Objective: This study aimed to examine the association between the weight-adjusted waist circumference index (WWI) and the risk of depression in U.S. adults, as well as the potential mediating roles of chronic diseases (hypertension, diabetes, stroke, and coronary heart disease) in this relationship.
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