Association between weight-adjusted waist index and cardiometabolic multimorbidity in older adults: Findings from the English Longitudinal Study of Ageing
- PMID: 40775563
- DOI: 10.1007/s11357-025-01829-w
Association between weight-adjusted waist index and cardiometabolic multimorbidity in older adults: Findings from the English Longitudinal Study of Ageing
Abstract
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; 45.1% male) from the English Longitudinal Study of Ageing who were free from hypertension, coronary heart disease, diabetes, and stroke at baseline (wave 4: 2008-2009). WWI was calculated as WC (cm) divided by the square root of body weight (kg). CMM was defined as the presence of ≥ 2 of the following conditions at wave 10 (2021-2023): hypertension, cardiovascular disease, diabetes, or stroke. Multivariable logistic regression and measures of discrimination were used to assess associations and predictive value. Over 15 years, 197 participants developed CMM. Restricted cubic spline analysis indicated a linear dose-response relationship between WWI and CMM risk (p for nonlinearity = .44). Each 1 SD increase in WWI was associated with higher odds of CMM (odds ratio, OR = 1.30; 95% CI: 1.12-1.51), persisting after adjustment for physical activity (OR = 1.28; 95% CI: 1.10-1.49). Similar associations were observed across WWI tertiles. Adding WWI to conventional risk models slightly improved discrimination (ΔC-index = 0.0065; p = .29), with a significant improvement in model fit (-2 log likelihood, p = .001). Higher WWI levels were independently and linearly associated with increased CMM risk in older adults. WWI also improved CMM risk prediction beyond conventional risk factors.
Keywords: Cardiometabolic multimorbidity; Cohort study; Visceral adiposity; Weight-adjusted waist index.
© 2025. The Author(s).
Conflict of interest statement
Declarations. Ethics approval: English Longitudinal Study of Ageing Wave 4 received ethical approval from the National Hospital for Neurology and Neurosurgery & Institute of Neurology Joint Research Ethics Committee on 12 October 2007 (07/H0716/48), and all participants provided written informed consent. Ethical approvals for the other waves in the ELSA project can be found on the website: https://www.elsa-project.ac.uk/ethical-approval . Conflict of interest: The authors declare that they have no conflicts of interest.
Similar articles
-
A paradoxical association between A Body Shape Index and cardiometabolic multimorbidity: Findings from the English longitudinal study of ageing.Nutr Metab Cardiovasc Dis. 2025 May 30:104167. doi: 10.1016/j.numecd.2025.104167. Online ahead of print. Nutr Metab Cardiovasc Dis. 2025. PMID: 40615310
-
Associations of different insulin resistance-related indices with the incidence and progression trajectory of cardiometabolic multimorbidity: a prospective cohort study from UK biobank.Cardiovasc Diabetol. 2025 Jun 18;24(1):257. doi: 10.1186/s12933-025-02819-0. Cardiovasc Diabetol. 2025. PMID: 40533754 Free PMC article.
-
The novel triglyceride‒glucose-weighted adjusted waist index as a supplementary diagnostic tool for heart failure: evidence of improved reclassification beyond traditional TyG-related indices from a cross-sectional study.Cardiovasc Diabetol. 2025 Aug 12;24(1):329. doi: 10.1186/s12933-025-02896-1. Cardiovasc Diabetol. 2025. PMID: 40797254 Free PMC article.
-
Sertindole for schizophrenia.Cochrane Database Syst Rev. 2005 Jul 20;2005(3):CD001715. doi: 10.1002/14651858.CD001715.pub2. Cochrane Database Syst Rev. 2005. PMID: 16034864 Free PMC article.
-
Effects of a gluten-reduced or gluten-free diet for the primary prevention of cardiovascular disease.Cochrane Database Syst Rev. 2022 Feb 24;2(2):CD013556. doi: 10.1002/14651858.CD013556.pub2. Cochrane Database Syst Rev. 2022. PMID: 35199850 Free PMC article.
References
-
- Tinetti ME, Fried TR, Boyd CM. Designing health care for the most common chronic condition–multimorbidity. JAMA. 2012;307:2493–4. https://doi.org/10.1001/jama.2012.5265 . - DOI - PubMed - PMC
-
- Sullivan MK, Jani BD, McConnachie A, Hanlon P, McLoone P, Nicholl BI, Carrero JJ, Nitsch D, McAllister D, Mair FS, et al. Hospitalisation events in people with chronic kidney disease as a component of multimorbidity: parallel cohort studies in research and routine care settings. BMC Med. 2021;19:278. https://doi.org/10.1186/s12916-021-02147-6 . - DOI - PubMed - PMC
-
- Fraser SD, Taal MW. Multimorbidity in people with chronic kidney disease: implications for outcomes and treatment. Curr Opin Nephrol Hypertens. 2016;25:465–72. https://doi.org/10.1097/MNH.0000000000000270 . - DOI - PubMed
-
- Zhang D, Tang X, Shen P, Si Y, Liu X, Xu Z, Wu J, Zhang J, Lu P, Lin H, et al. Multimorbidity of cardiometabolic diseases: prevalence and risk for mortality from one million Chinese adults in a longitudinal cohort study. BMJ Open. 2019;9: e024476. https://doi.org/10.1136/bmjopen-2018-024476 . - DOI - PubMed - PMC
-
- Rodrigues LP, Vissoci JRN, Franca DG, Caruzzo NM, Batista SRR, de Oliveira C, Nunes BP, Silveira EA. Multimorbidity patterns and hospitalisation occurrence in adults and older adults aged 50 years or over. Sci Rep. 2022;12: 11643. https://doi.org/10.1038/s41598-022-15723-4 . - DOI - PubMed - PMC
LinkOut - more resources
Full Text Sources