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. 2022 May 18;19(10):6140.
doi: 10.3390/ijerph19106140.

Association between Stroke and Abdominal Obesity in the Middle-Aged and Elderly Korean Population: KNHANES Data from 2011-2019

Jong Yeon Kim  1 , Sung Min Cho  1 , Youngmin Yoo  2 , Taesic Lee  3   4 , Jong Koo Kim  3   5
Affiliations

Association between Stroke and Abdominal Obesity in the Middle-Aged and Elderly Korean Population: KNHANES Data from 2011-2019

Jong Yeon Kim et al. Int J Environ Res Public Health. .

Abstract

Obesity and overweight status are primary risk factors for stroke. A relative small number of studies has analyzed the association of abdominal obesity, a crucial indicator for insulin resistance with stroke, compared to general obesity. We aimed to reveal 31,490 records from the Korea National Health and Nutrition Examination Survey (KNHANES). Logistic regression was used to identify the association of abdominal obesity with the risk of stroke. For the multivariate model, covariates were determined based on the cardio-cerebro vascular prediction models. In the sex-specific multivariate logistic regression analysis (including age, antihypertensive drug, diabetes, current smoking, and systolic blood pressure as confounders), the elevated waist circumference (WC) in women was significantly associated with the increased risk for stroke. In case of the categorized form of WC, we discerned the non-linear relationships between WC and the stroke status. The sex-specific associations between the abdominal obesity and stroke status were shown and their relationship pattern exhibited non-linear relationships.

Keywords: KNHANES; abdominal obesity; risk factor; stroke; waist circumference.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Sex-specific prevalence of stroke according to the 2011–2019 KNHANES datasets. Prevalence was calculated using weighted Korean men (A) and women (B). Abbreviation: KNHANES, Korea National Health and Nutrition Examination Survey.
Figure 2
Figure 2
Sex-specific prevalence of abdominal obesity in stroke subjects according to 2011–2019 KNHANES datasets. Prevalence of abdominal obesity (waist circumference ≥90 cm for men and ≥85 cm for women) was calculated by weighted men and women diagnosed with stroke. Abbreviation: KNHANES, Korea National Health and Nutrition Examination Survey.
Figure 3
Figure 3
Sex-specific non-linear relationships between waist circumference and the risk for stroke. Adjusted ORs (aORs) were measured using the multivariate logistic regression including age, antihypertensive medication, diabetes, current smoking, systolic blood pressure, total cholesterol, and high-density lipoprotein cholesterol as covariates. The cut-offs of WC were determined based on quintile method (A,B) and empirical cut-offs (C), men: 75, 80, 85, 90, and 95 cm; (D), women: 70, 75, 80, 85, and 90 cm).
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References

    1. Roger V.L., Go A.S., Lloyd-Jones D.M., Adams R.J., Berry J.D., Brown T.M., Carnethon M.R., Dai S., De Simone G., Ford E.S. Heart disease and stroke statistics—2011 update: A report from the American Heart Association. Circulation. 2011;123:e18–e209. doi: 10.1161/CIR.0b013e3182009701. - DOI - PMC - PubMed
    1. Mozaffarian D., Benjamin E.J., Go A.S., Arnett D.K., Blaha M.J., Cushman M., Das S.R., de Ferranti S., Després J.-P., Fullerton H.J. Heart disease and stroke statistics—2016 update: A report from the American Heart Association. Circulation. 2015;123:e18–e209. doi: 10.1161/CIR.0000000000000350. - DOI - PMC - PubMed
    1. Ovbiagele B., Goldstein L.B., Higashida R.T., Howard V.J., Johnston S.C., Khavjou O.A., Lackland D.T., Lichtman J.H., Mohl S., Sacco R.L. Forecasting the future of stroke in the United States: A policy statement from the American Heart Association and American Stroke Association. Stroke. 2013;44:2361–2375. doi: 10.1161/STR.0b013e31829734f2. - DOI - PubMed
    1. Pearson T.A., Palaniappan L.P., Artinian N.T., Carnethon M.R., Criqui M.H., Daniels S.R., Fonarow G.C., Fortmann S.P., Franklin B.A., Galloway J.M. American Heart Association Guide for Improving Cardiovascular Health at the Community Level, 2013 update: A scientific statement for public health practitioners, healthcare providers, and health policy makers. Circulation. 2013;127:1730–1753. doi: 10.1161/CIR.0b013e31828f8a94. - DOI - PubMed
    1. Hong K.-S., Bang O.Y., Kang D.-W., Yu K.-H., Bae H.-J., Lee J.S., Heo J.H., Kwon S.U., Oh C.W., Lee B.-C. Stroke statistics in Korea: Part I. Epidemiology and risk factors: A report from the korean stroke society and clinical research center for stroke. J. Stroke. 2013;15:2. doi: 10.5853/jos.2013.15.1.2. - DOI - PMC - PubMed

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This research received no external funding.