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December 14, 2022Frontiers in Cardiovascular Medicine52 citationsOpen Access

Association between weight-adjusted-waist index and heart failure: Results from National Health and Nutrition Examination Survey 1999–2018

DZDaoliang ZhangWSWenrui ShiZDZhaohui Ding

Key Result

Each standard deviation increase in the weight-adjusted waist circumference index was associated with a 19.5% higher risk of prevalent heart failure (OR 1.195) in the general population.

Study Design

Type

Cross-Sectional (n=25,509)

Multicenter

Yes

Structured PICO

Is weight-adjusted waist circumference index (WWI) associated with prevalent heart failure in the general population?

P
Population
25,509 subjects from the National Health and Nutrition Examination Survey (NHANES) 1999–2018
I
Intervention
Weight-adjusted waist circumference index (WWI)
C
Comparator
Lower quartiles of WWI
O
Outcome
Prevalent heart failure (identified according to subjects' reports)hard clinical

WWI is a simple surrogate for fat mass accumulation that is significantly and linearly associated with the risk of prevalent heart failure in the general population.

Main Result

Effect estimate: OR 1.195 (95% CI 1.036-1.379)

p-value: p=0.015

Limitations

  • Cross-sectional design prevents assessing the value of WWI to predict the occurrence of HF
  • Exclusion of participants due to incomplete data could introduce bias
  • Reliance on self-reported HF and medication history, without categorizing HF subtypes
  • Conducted only in the United States, limiting generalizability to other populations
  • Potential unmeasured confounding factors due to limited data provided by NHANES

Abstract

Background Weight-adjusted waist circumference index (WWI) is a novel index positively associated with excessive fat accumulation. The current study aims to evaluate the association between WWI and the prevalent heart failure (HF), and to assess the value of WWI to improve the detection of HF in the general population. Methods A total of 25,509 subjects from National Health and Nutrition Examination Survey 1999–2018 were included into our study. WWI was calculated as WC (cm) divided by the square root of weight (kg). HF was identified according to the subjects’ reports. Results The prevalence of reported HF was 2.96%. With adjustment of demographic, anthropometric, laboratory, and medical history data, one SD increment of WWI could cast an additional 19.5% risk for prevalent HF. After separating WWI into quartiles, the fourth quartile had a 1.670 times risk of prevalent HF compared to the first quartile. Furthermore, smooth curve fitting suggested that the association was linear in the entire range of WWI. Moreover, the association was robust to subgroups of age, sex, race, obesity, hypertension, and diabetes. Additionally, ROC analysis revealed a significant improvement for the detection of prevalent HF from WWI (0.890 vs. 0.894, P 0.001); And continuous net reclassification index (0.225, P 0.001) and integrated discrimination index (0.004, P 0.001) also supported the improvement from WWI. Conclusion Our data demonstrated a significant, linear, and robust association between WWI, a simple surrogate for fat mass accumulation, and the risk for prevalent HF in a representative population. Moreover, our results also suggested the potential value of WWI to refine the detection of prevalent HF in the general population.

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Cite This Study

Zhang et al. (2022) conducted a cross-sectional in Heart failure (n=25,509). Weight-adjusted waist circumference index (WWI) vs. Lower WWI was evaluated on Prevalent heart failure (OR 1.195, 95% CI 1.036-1.379, p=0.015). Each standard deviation increase in the weight-adjusted waist circumference index was associated with a 19.5% higher risk of prevalent heart failure (OR 1.195) in the general population.

synapsesocial.com/papers/6a10f1106eff2c4ed81622e1https://doi.org/10.3389/fcvm.2022.1069146
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