Dergiler / Turkish Journal of Gastroenterology / 2021 / Cilt: 32 - Sayı: 5

Systolic Blood Pressure Mediates Body Mass Index and Non-alcoholic Fatty Liver Disease: A Population-Based Study

Sayfa
458–465
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

SBP mediates a positive association between BMI and NAFLD among individuals younger than 50 years, especially among females

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Background: Background/Aims: Non-alcoholic fatty liver disease (NAFLD) is one of the most common chronic liver diseases.
📊
Temel Bulgular & Veri:Methods: A total of 21 072 participants were enrolled.
💡
Sonuç & Katkı:SBP mediates a positive association between BMI and NAFLD among individuals younger than 50 years, especially among females
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Özet

Background: Background/Aims: Non-alcoholic fatty liver disease (NAFLD) is one of the most common chronic liver diseases. Systolic blood pressure (SBP) and body mass index (BMI) are associated with NAFLD. We aimed to evaluate the mediating effect of SBP in the association between BMI and NAFLD. Methods: A total of 21 072 participants were enrolled. Multivariate logistic regression and linear regression models were used to describe the association between BMI, SBP, and NAFLD. The impact of SBP on the association between BMI and NAFLD was determined through mediation analysis. Results: BMI was positively associated with incident NAFLD overall (odds ratio (OR) = 1.171, 95% CI (1.153-1.189)) and in the female (OR = 1.189, 95% CI (1.157-1.222)) and male groups (OR = 1.162, 95% CI (1.141-1.184)) (P < .001). SBP also showed positive effects in the general, female, and male groups (P < .001). The effect of BMI on SBP also indicated similar positive results in the general (β = 0.913, 95% CI (0.799-1.026)), female (β = 0.956, 95% CI (0.760-1.151)), and male (β = 0.867, 95% CI (0.727-1.006)) groups (P < .001). Mediation analysis showed that SBP contributed to 14.23% of the relationship between BMI and NAFLD in the general group and 31.07 and 22.67% of the relationship in the female and male groups of individuals younger than 50 years old, respectively. The mediation effect appeared higher among females than among males, especially in participants younger than 50 years. Conclusion: SBP and BMI contribute to the development of NAFLD. SBP mediates a positive association between BMI and NAFLD among individuals younger than 50 years, especially among females

🔖

Bu Makaleye Atıf Yap

ZHANG, Q., CHEN, S., WU, S., GUAN, X., XING, J. (2021). Systolic Blood Pressure Mediates Body Mass Index and Non-alcoholic Fatty Liver Disease: A Population-Based Study. Turkish Journal of Gastroenterology, Cilt: 32 - Sayı: 5, 458–465. https://ajindex.com/articles/408619

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (1)

  1. Sanyal AJ, Brunt EM, Kleiner DE, et al. Endpoints and clinical trial design for nonalcoholic steatohepatitis. Hepatology. 2011;54(1):344- 353. [CrossRef] 2. Chalasani N, Younossi Z, Lavine JE, et al. The diagnosis and management of nonalcoholic fatty liver disease: practice guidance from the American Association for the Study of Liver Diseases. Hepatology. 2018;67(1):328-357. [CrossRef] 3. Vernon G, Baranova A, Younossi ZM. Systematic review: the epidemiology and natural history of non-alcoholic fatty liver disease and non-alcoholic steatohepatitis in adults. Aliment Pharmacol Ther. 2011;34(3):274-285. [CrossRef] 4. Fan JG. Epidemiology of alcoholic and non-alcoholic fatty liver disease in China. Chin J Gastroenterol Hepatol. 2013;28(suppl 1):11- 17. [CrossRef] 5. Lee SW, et al. Risk factors and metabolic abnormality of patients with non-alcoholic fatty liver disease: Either non-obese or obese Chinese population. Hepatobiiary Pancreat Dis Int HBPD INT. 2018;17:45-48. [CrossRef] 6. Barrios V, Escobar C, Calderón A. Clinical profile and management of patients with hypertension and chronic ischemic heart disease according to BMI. Obesity (Silver Spring) 2010;18(10): 2017-2022. [CrossRef] 7. Hamaguchi M, Kojima T, Takeda N, et al. The metabolic syndrome as a predictor of nonalcoholic fatty liver disease. Ann Intern Med. 2005;143(10):722-728. [CrossRef] 8. Wang L, Cui L, Wang Y, et al. Resting heart rate and the risk of developing impaired fasting glucose and diabetes: the Kailuan prospective study. Int J Epidemiol. 2015;44(2):689-699. [CrossRef] 9. Jin C, Chen S, Vaidya A, et al. Longitudinal change in fasting blood glucose and myocardial infarction risk in a population Without diabetes. Diabetes Care. 2017;40(11):1565-1572. [CrossRef] 10. Zhu J, Wu SL, Wang YX, et al. The risk predictive value of high sensitivity C-reactive protein level for new hemorrhagic stroke events. Zhonghua Nei Ke Za Zhi. 2010;49(6):469-472. 11. Chen S, Li W, Jin C et al. Resting heart rate trajectory pattern predicts arterial stiffness in a community-based Chinese cohort. Arterioscler Thromb Vasc Biol. 2017;37(2):359-364. [CrossRef] 12. Huang S, Li J, Shearer GC, et al. Longitudinal study of alcohol consumption and HDL concentrations: a community-based study. Am J Clin Nutr. 2017;105(4);905-912. [CrossRef] 13. Li J, Huang Z, Hou J, et al. Sleep and CKD in Chinese adults: a cross-sectional study. Clin J Am Soc Nephrol.2017:12:885-892. [CrossRef] 14. Saadeh S, Younossi ZM, Remer EM,