PMID- 37322514 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20230619 IS - 1758-5996 (Print) IS - 1758-5996 (Electronic) IS - 1758-5996 (Linking) VI - 15 IP - 1 DP - 2023 Jun 16 TI - Associations of non-traditional cardiovascular risk factors and body mass index with metabolic syndrome in the Chinese elderly population. PG - 129 LID - 10.1186/s13098-023-01047-4 [doi] LID - 129 AB - BACKGROUND: Metabolic syndrome (MetS), a clustering of traditional cardiovascular risk factors (CVRF), is currently one of the major global public health burdens. However, associations between MetS and non-traditional CVRF represented by uric acid (UA), homocysteine (HCY) and hypersensitive C-reactive protein (HsCRP) have not been well explored in the elderly population, especially when considering body mass index (BMI). METHODS: Participants from the Shanghai Elderly Cardiovascular Health (SHECH) study cohort in 2017 were analyzed. MetS was defined using the modified American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Logistic regression models were used to assess associations of non-traditional CVRF, BMI with MetS. RESULTS: Of the 4360 participants analyzed, 2378 (54.5%) had MetS, the mean (SD) UA was 331 (86) micromol/L, and the median (IQR) HCY and HsCRP were 15 (13-18) micromol/L and 1.0 (0.5-2.1) mg/L, respectively. Participants with higher non-traditional CVRF tended to have a higher significant risk of MetS (P < 0.001), which did not changed substantially in most population subgroups (P-interaction > 0.05). BMI mediated 43.89% (95%CI: 30.38-57.40%), 37.34% (95% CI: 13.86-60.83%) and 30.99% (95%CI: 13.16-48.83%) of associations of hyperuricemia (HUA), hyperhomocysteinemia (HHCY) and high HsCRP (HHsCRP) with MetS, respectively. Abnormal non-traditional CVRF combined with overweight/obesity greatly increased MetS risk (adjusted OR(95%CI): HUA + Overweight: 5.860(4.059-8.461); 6.148(3.707-10.194); HHCY + Overweight: 3.989(3.107-5.121); HHCY + Obese: 5.746(4.064-8.123); HHsCRP + Overweight: 4.026(2.906-5.580); HHsCRP + Obese: 7.717(4.508-13.210)). CONCLUSIONS: In the Chinese elderly population, HUA, HHCY, and HHsCRP were all significantly and independently associated with MetS, supporting the potential of focusing on non-traditional CVRF interventions for preventing and controlling MetS. BMI played moderate mediating roles in associations between non-traditional CVRF and MetS, and abnormal non-traditional CVRF combined with overweight/obesity had significant synergistic effects on MetS risk, highlighting the importance of better weight management in the elderly population. CI - (c) 2023. The Author(s). FAU - You, Aijun AU - You A AD - Department of Epidemiology and Public Health, Tongji University School of Medicine, Shanghai, 200092, China. AD - Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China. AD - Changhai Clinical Research Unit, Shanghai Changhai Hospital, Naval Medical University, Shanghai, 200433, China. FAU - Li, Yaxin AU - Li Y AD - Department of Epidemiology and Public Health, Tongji University School of Medicine, Shanghai, 200092, China. AD - Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China. FAU - Shen, Chaonan AU - Shen C AD - Department of Epidemiology and Public Health, Tongji University School of Medicine, Shanghai, 200092, China. AD - Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China. AD - Institute of Integrated Traditional Chinese and Western Medicine for Cardiovascular Chronic Diseases, Tongji University School of Medicine, Shanghai, 200120, China. FAU - Fan, Huimin AU - Fan H AD - Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China. AD - Institute of Integrated Traditional Chinese and Western Medicine for Cardiovascular Chronic Diseases, Tongji University School of Medicine, Shanghai, 200120, China. FAU - He, Jia AU - He J AD - Department of Epidemiology and Public Health, Tongji University School of Medicine, Shanghai, 200092, China. AD - Department of Health Statistics, Faculty of Health Service, Naval Medical University, Shanghai, 200433, China. AD - Changhai Clinical Research Unit, Shanghai Changhai Hospital, Naval Medical University, Shanghai, 200433, China. FAU - Liu, Zhongmin AU - Liu Z AD - Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China. AD - Institute of Integrated Traditional Chinese and Western Medicine for Cardiovascular Chronic Diseases, Tongji University School of Medicine, Shanghai, 200120, China. FAU - Xue, Qian AU - Xue Q AD - Changhai Clinical Research Unit, Shanghai Changhai Hospital, Naval Medical University, Shanghai, 200433, China. chyybb@yeah.net. FAU - Zhang, Yuzhen AU - Zhang Y AD - Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China. Yzzhang-tj@tongji.edu.cn. AD - Institute of Integrated Traditional Chinese and Western Medicine for Cardiovascular Chronic Diseases, Tongji University School of Medicine, Shanghai, 200120, China. Yzzhang-tj@tongji.edu.cn. FAU - Zheng, Liang AU - Zheng L AD - Department of Epidemiology and Public Health, Tongji University School of Medicine, Shanghai, 200092, China. zhengliang@tongji.edu.cn. AD - Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China. zhengliang@tongji.edu.cn. AD - Institute of Integrated Traditional Chinese and Western Medicine for Cardiovascular Chronic Diseases, Tongji University School of Medicine, Shanghai, 200120, China. zhengliang@tongji.edu.cn. LA - eng GR - SKJP220227143/the Science and Technology Plan Project of Jiangxi Provincial Health Commission/ PT - Journal Article DEP - 20230616 PL - England TA - Diabetol Metab Syndr JT - Diabetology & metabolic syndrome JID - 101488958 PMC - PMC10273701 OTO - NOTNLM OT - Body mass index OT - Cardiovascular disease OT - Metabolic syndrome OT - Non-traditional cardiovascular risk factors OT - The elderly population COIS- The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. EDAT- 2023/06/16 01:08 MHDA- 2023/06/16 01:09 PMCR- 2023/06/16 CRDT- 2023/06/15 23:42 PHST- 2023/02/20 00:00 [received] PHST- 2023/03/29 00:00 [accepted] PHST- 2023/06/16 01:09 [medline] PHST- 2023/06/16 01:08 [pubmed] PHST- 2023/06/15 23:42 [entrez] PHST- 2023/06/16 00:00 [pmc-release] AID - 10.1186/s13098-023-01047-4 [pii] AID - 1047 [pii] AID - 10.1186/s13098-023-01047-4 [doi] PST - epublish SO - Diabetol Metab Syndr. 2023 Jun 16;15(1):129. doi: 10.1186/s13098-023-01047-4.