Research Article | Open Access
Volume 2026 - 2 | Article ID 311 | https://dx.doi.org/10.51521/IJDCR.2026.2104
Academic Editor: John Bose
1Victor
Lambongang, 2Edwin Amachree, 3Chelsea Raviro
Mazonde, 4Aminat Adebukola
Amunigun
1Department of Public Health, Liberty University.
Virginia, USA. ORCID: 0009-0004-8592-6810
2Department of Biology and Chemistry, Liberty
University, Virginia, USA.
ORCID: 0009-0008-3597-0484
3Department of Public Health, Liberty University.
Virginia, USA.
ORCID: 0009-0001-5124-7746
4Department of Family and Consumer Sciences, Alabama
A&M University. Alabama, USA.
ORCID: 0009-0000-8285-8032
Corresponding Author: Victor Lambongang, Department of Public Health, Liberty University.
Virginia, USA.
Citation: Victor
Lambongang, Edwin Amachree, Chelsea Raviro Mazonde, Aminat Adebukola Amunigun (2026)
Projected Rise of Cardiovascular Disease in US Women by 2050: A Life- Course
Analysis of Hypertension, Diabetes and Obesity Trends. Int J Diabetes Case Rep,
2(1);1-8.
Copyrights: © 2026, Victor Lambongang, et al., This is an
open-access article distributed under the terms of the Creative Commons
Attribution 4.0 International License, which permits unrestricted use,
distribution and reproduction in any medium, provided the original author and
source are credited.
Abstract:
Background:
Cardiovascular disease (CVD) remains the leading cause of morbidity and
mortality among women in the United States. Recent forecasting work suggests
that the next few decades will bring substantial growth in women’s
cardiometabolic risk factor prevalence, with downstream increases in CVD and
stroke burden.
Objective:
To synthesise the best available evidence on the projected rise of CVD in US
women by 2050 using a life-course framework, with specific focus on
hypertension, diabetes and obesity trends, and to present a transparent,
reproducible projection scaffold with embedded tables and figures aligned to
publication expectations for Scopus-indexed journals.
Methods:
A population-based projection framework was constructed using (i)
women-specific risk factor and CVD projection anchors from an American Heart
Association scientific statement forecasting women’s CVD burden through 2050,
(ii) baseline life-stage stratified prevalence estimates for women from
nationally representative NHANES 2017 to March 2020 prepandemic tables
(hypertension, diabetes, obesity), and (iii) official US Census Bureau
population estimates (2020) and national population projections (to 2050) to
translate prevalence into counts. Intermediate-year estimates (2030, 2040) were
generated via logit-scale interpolation between 2020 and 2050 anchors, and
age-group projections were generated by applying an anchored logit shift to
baseline age-stratified prevalence.
Results:
Among adult US women overall, hypertension is projected to rise from 48.6%
(2020) to 59.1% (2050), diabetes from 14.9% to 25.3%, and obesity from 43.9% to
61.2%. Total CVD and stroke prevalence is projected to increase from 10.7% to
14.4% by 2050, with increases also projected for coronary disease (6.85% to
9.12%), heart failure (2.45% to 3.95%), stroke (4.14% to 6.52%) and atrial
fibrillation (1.58% to 2.44%). Life-stage baseline prevalence in NHANES 2017 to
March 2020 already demonstrates steep risk gradients by age (for example,
women’s hypertension prevalence 16.9% at 18–39 years versus 75.0% at 60+
years), indicating that population ageing plus worsening risk factor profiles
will jointly drive absolute burden.
Conclusion:
By 2050, the projected cardiometabolic risk environment for US women is
consistent with a substantial rise in both risk factor prevalence and CVD
burden, with strong likelihood of widening absolute disparities unless
prevention and equitable access improve. A life-course prevention strategy that
prioritises early detection and sustained control of hypertension, diabetes and
obesity across reproductive, menopausal and older-age transitions is supported
by the direction and scale of these projections.
Keywords:
Cardiovascular Disease, Women’s Health, Life-Course Analysis, Hypertension,
Diabetes, Obesity, Projection Modelling.