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Observational Study
. 2022 Jan 7;12(1):e056281.
doi: 10.1136/bmjopen-2021-056281.

Cross-sectional association between body fat percentage and arteriosclerosis assessed by Cardio-Ankle Vascular Index in a Chinese population: a retrospective observational study

Affiliations
Observational Study

Cross-sectional association between body fat percentage and arteriosclerosis assessed by Cardio-Ankle Vascular Index in a Chinese population: a retrospective observational study

Linfeng He et al. BMJ Open. .

Abstract

Objective: To evaluate arteriosclerosis using Cardio-Ankle Vascular Index (CAVI) and to explore the relation between the body fat percentage (BFP) and CAVI.

Design: A retrospective observational study.

Setting and participants: A total of 1152 patients admitted to a geriatric unit and general practice at a mega hospital in Wuhan, China, from November 2018 to November 2019 were included in this study.

Primary outcome: Association between BFP and CAVI.

Results: Multiple linear regression analysis showed that BFP was positively correlated with CAVI after correction for potential confounding variables (β=0.03; 95% CI: 0.01 to 0.05); this association persisted after BFP was treated by quartile categorical variables and the trend test was statistically significant (p for trend=0.002). Meanwhile, the generalised additive model showed a non-linear association between BFP and CAVI. When BFP<20.6%, BFP is not associated with CAVI for (β=-0.02; 95% CI: -0.06 to 0.03), but when BFP≥20.6%, there is a linear positive association between BFP and CAVI (β=0.05; 95% CI: 0.02 to 0.07). Subgroup analysis showed that there was an interaction between BFP and CAVI in the age stratification (p interaction=0.038).

Conclusion: BFP was non-linearly correlated with CAVI, with a 0.05 increase in CAVI for every 1% increase in BFP when BFP≥20.6% and a 0.03 increase in CAVI in those >65 years of age.

Keywords: Cardio-Ankle Vascular Index; arteriosclerosis; body fat percentage.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Scatterplot of age, BMI and BFP. (A) Age. (B) BMI. BFP, body fat percentage; BMI, body mass index.
Figure 2
Figure 2
Fitting curve between BFP and CAVI. A non-linear relationship between BFP and CAVI after adjusting for age, gender, BMI, SBP, hypertension, diabetes, PAD, CHD, osteoporosis, CKD, COPD, fatty liver, smoking, drinking, DBP, TC, HDL-C, TG, fasting glucose, LDL-C and diuretic use. BFP, body fat percentage; BMI, body mass index; CAVI, Cardio-Ankle Vascular Index; CHD, coronary heart disease; CKD, chronic kidney disease; COPD, chronic obstructive pulmonary disease; DBP, diastolic blood pressure; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; PAD, peripheral artery disease; SBP, systolic blood pressure; TC, total cholesterol; TG, triglycerides.

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References

    1. Roth GA, Mensah GA, Johnson CO, et al. . Global burden of cardiovascular diseases and risk factors, 1990-2019: update from the GBD 2019 study. J Am Coll Cardiol 2020;76:2982–3021. 10.1016/j.jacc.2020.11.010 - DOI - PMC - PubMed
    1. Ng M, Fleming T, Robinson M, et al. . Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the global burden of disease study 2013. Lancet 2014;384:766–81. 10.1016/S0140-6736(14)60460-8 - DOI - PMC - PubMed
    1. Pan X-F, Wang L, Pan A. Epidemiology and determinants of obesity in China. Lancet Diabetes Endocrinol 2021;9:373–92. 10.1016/S2213-8587(21)00045-0 - DOI - PubMed
    1. Lavie CJ, McAuley PA, Church TS, et al. . Obesity and cardiovascular diseases: implications regarding fitness, fatness, and severity in the obesity paradox. J Am Coll Cardiol 2014;63:1345–54. 10.1016/j.jacc.2014.01.022 - DOI - PubMed
    1. Alpert MA, Omran J, Mehra A, et al. . Impact of obesity and weight loss on cardiac performance and morphology in adults. Prog Cardiovasc Dis 2014;56:391–400. 10.1016/j.pcad.2013.09.003 - DOI - PubMed

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