Gender Discrepancies in Predictors for Newly Onset Cardiovascular Events and Metabolic Syndrome in Elderly Patients from Rural China

Overview

Journal Front Cardiovasc Med

Specialty Cardiology & Vascular Diseases

Date 2022 Dec 12

PMID 36505366

Authors

Shasha Yu

Xiaofan Guo

Guangxiao Li

Hongmei Yang

Liqiang Zheng

Yingxian Sun

Affiliations

Soon will be listed here.

Abstract

Objective: The study aimed to estimate the possible predictors of cardiovascular events (CVEs) in elderly patients with metabolic syndrome (MetS) from rural China. Moreover, we also attempted to find the potential risk factors for newly diagnosed MetS.

Methods: The Northeast China Rural Cardiovascular Health Study (NCRCHS) is a community-based prospective cohort study carried out in rural areas of northeast China. Approximately 1,059 elderly patients with MetS but no cardiovascular diseases and 1,565 elderly patients without MetS at baseline were enrolled in this study. They underwent a physical examination, completed a questionnaire in 2012-2013, and were followed up during 2015-2017. Cox proportional hazard analysis was conducted to assess the possible predictors of newly developed CVEs, and multivariate analysis was used to estimate the risk factors of newly diagnosed MetS.

Results: The common predictors of newly developed CVEs in both men and women were family history of stroke (HR [hazard ratios] : 1.696; HR : 2.504) and soybean consumption (HR : 0.253; HR : 0.130). Moreover, minority race (HR: 0.109), systolic blood pressure (SBP) (HR: 1.021), current drinking habits (HR: 2.551), family history of hypertension (HR: 2.297), LDL-C (HR: 1.669), 5,000-20,000 CNY/year annual income (HR: 0.290), and strenuous physical activity (HR: 0.397) were predictors of CVEs only in male elderly patients. For newly diagnosed MetS, body mass index (OR : 1.212; OR : 1.207) and fasting blood glucose (OR : 1.305; OR : 1.217) were common risk factors in both genders, whereas age (OR:0.958) was a protective factor in men and > 9-h/day sleep duration (OR:0.212) was a protective factor in women. In addition, SBP (OR:1.014) ≥4 times/day, bean consumption (OR:1.955), and uric acid (OR:1.005) increased the risk of MetS in men but not in women.

Conclusion: Our study identified many effective predictors of CVEs in rural elderly patients with MetS and confirmed the presence of a gender-based discrepancy. Moreover, we also identified additional risk factors, along with the traditional ones, for newly diagnosed MetS in rural elderly patients.

Citing Articles

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References

Farias D, Tibana R, Teixeira T, Vieira D, Tarja V, Nascimento D . Elderly women with metabolic syndrome present higher cardiovascular risk and lower relative muscle strength. Einstein (Sao Paulo). 2013; 11(2):174-9. PMC: 4872890. DOI: 10.1590/s1679-45082013000200007. View

Smiley A, King D, Bidulescu A . The Association between Sleep Duration and Metabolic Syndrome: The NHANES 2013/2014. Nutrients. 2019; 11(11). PMC: 6893635. DOI: 10.3390/nu11112582. View

van Hasselt T, Pickles O, Midgley-Hunt A, Jiang C, Zhang W, Cheng K . Effects of tea consumption on renal function in a metropolitan Chinese population: the Guangzhou biobank cohort study. J Ren Nutr. 2013; 24(1):26-31. DOI: 10.1053/j.jrn.2013.08.006. View

Moran A, Forouzanfar M, Roth G, Mensah G, Ezzati M, Murray C . Temporal trends in ischemic heart disease mortality in 21 world regions, 1980 to 2010: the Global Burden of Disease 2010 study. Circulation. 2014; 129(14):1483-92. PMC: 4181359. DOI: 10.1161/CIRCULATIONAHA.113.004042. View

Sun Z, Zheng L, Detrano R, Zhang X, Xu C, Li J . Incidence and predictors of hypertension among rural Chinese adults: results from Liaoning province. Ann Fam Med. 2010; 8(1):19-24. PMC: 2807383. DOI: 10.1370/afm.1018. View

Orces C, Lopez Gavilanez E . The prevalence of metabolic syndrome among older adults in Ecuador: Results of the SABE survey. Diabetes Metab Syndr. 2017; 11 Suppl 2:S555-S560. DOI: 10.1016/j.dsx.2017.04.004. View

De Backer G, Ambrosioni E, Borch-Johnsen K, Brotons C, Cifkova R, Dallongeville J . European guidelines on cardiovascular disease prevention in clinical practice: third joint task force of European and other societies on cardiovascular disease prevention in clinical practice (constituted by representatives of eight societies and by.... Eur J Cardiovasc Prev Rehabil. 2003; 10(4):S1-S10. DOI: 10.1097/01.hjr.0000087913.96265.e2. View

Houti L, Hamani-Medjaoui I, Lardjam-Hetraf S, Ouhaibi-Djellouli H, Chougrani S, Goumidi L . Prevalence of Metabolic Syndrome and its Related Risk Factors in the City of Oran, Algeria: the ISOR Study. Ethn Dis. 2016; 26(1):99-106. PMC: 4738862. DOI: 10.18865/ed.26.1.99. View

Wang F, Ye P, Hu D, Min Y, Zhao S, Wang Y . Lipid-lowering therapy and lipid goal attainment in patients with metabolic syndrome in China: subgroup analysis of the Dyslipidemia International Study-China (DYSIS-China). Atherosclerosis. 2014; 237(1):99-105. DOI: 10.1016/j.atherosclerosis.2014.08.023. View

10.

Liu L, Zhang T, Zhang Y, Liu T, Zhang H, Chen F . Metabolic syndrome and risk for ED: a meta-analysis. Int J Impot Res. 2014; 26(5):196-200. DOI: 10.1038/ijir.2014.3. View

11.

Lu J, Wang L, Li M, Xu Y, Jiang Y, Wang W . Metabolic Syndrome Among Adults in China: The 2010 China Noncommunicable Disease Surveillance. J Clin Endocrinol Metab. 2016; 102(2):507-515. DOI: 10.1210/jc.2016-2477. View

12.

Harrity T, Farrelly D, Tieman A, Chu C, Kunselman L, Gu L . Muraglitazar, a novel dual (alpha/gamma) peroxisome proliferator-activated receptor activator, improves diabetes and other metabolic abnormalities and preserves beta-cell function in db/db mice. Diabetes. 2005; 55(1):240-8. View

13.

Roever L, Resende E, Diniz A, Penha-Silva N, OConnell J, Gomes P . Metabolic syndrome and risk of stroke: Protocol for an update systematic review and meta-analysis. Medicine (Baltimore). 2018; 97(15):e9862. PMC: 5908602. DOI: 10.1097/MD.0000000000009862. View

14.

Lan Y, Mai Z, Zhou S, Liu Y, Li S, Zhao Z . Prevalence of metabolic syndrome in China: An up-dated cross-sectional study. PLoS One. 2018; 13(4):e0196012. PMC: 5906019. DOI: 10.1371/journal.pone.0196012. View

15.

Cai H, Huang J, Xu G, Yang Z, Liu M, Mi Y . Prevalence and determinants of metabolic syndrome among women in Chinese rural areas. PLoS One. 2012; 7(5):e36936. PMC: 3349636. DOI: 10.1371/journal.pone.0036936. View

16.

Esposito K, Chiodini P, Colao A, Lenzi A, Giugliano D . Metabolic syndrome and risk of cancer: a systematic review and meta-analysis. Diabetes Care. 2012; 35(11):2402-11. PMC: 3476894. DOI: 10.2337/dc12-0336. View

17.

Orkaby A, Forman D . Physical activity and CVD in older adults: an expert's perspective. Expert Rev Cardiovasc Ther. 2017; 16(1):1-10. DOI: 10.1080/14779072.2018.1419062. View

18.

Zhao Y, Yan H, Yang R, Li Q, Dang S, Wang Y . Prevalence and determinants of metabolic syndrome among adults in a rural area of Northwest China. PLoS One. 2014; 9(3):e91578. PMC: 3948893. DOI: 10.1371/journal.pone.0091578. View

19.

Alberti K, Eckel R, Grundy S, Zimmet P, Cleeman J, Donato K . Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation;.... Circulation. 2009; 120(16):1640-5. DOI: 10.1161/CIRCULATIONAHA.109.192644. View

20.

Tu W, Zeng X, Liu Q . Aging tsunami coming: the main finding from China's seventh national population census. Aging Clin Exp Res. 2021; 34(5):1159-1163. DOI: 10.1007/s40520-021-02017-4. View