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Ren Y, Wang W, Zou H, Lei Y, Li Y, Li Z, Zhang X, Kong L, Yang L, Cao F, Yan W, Wang P. Association between ideal cardiovascular health and abnormal glucose metabolism in the elderly: evidence based on real-world data. BMC Geriatr 2024; 24:414. [PMID: 38730349 PMCID: PMC11084128 DOI: 10.1186/s12877-023-04632-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 12/21/2023] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Limited information is available on the effect of ideal cardiovascular health (CVH) and abnormal glucose metabolism in elderly people. We aimed to analyze the prevalence of CVH behaviors, abnormal glucose metabolism, and their correlation in 65 and older people. METHODS In this study, randomized cluster sampling, multivariate logistic regression, and mediating effects analysis were used. Recruiting was carried out between January 2020 and December 2020, and 1984 participants aged 65 years or older completed the study. RESULTS The prevalence of abnormal glucose metabolism in this group was 26.7% (n = 529), among which the prevalence of impaired fasting glucose (IFG) was 9.5% (male vs. female: 8.7% vs 10.1%, P = 0.338), and the prevalence of type 2 diabetes mellitus (T2DM) was 19.0% (male vs. female: 17.8 vs. 19.8%, P = 0.256). The ideal CVH rate (number of ideal CVH metrics ≥ 5) was only 21.0%. The risk of IFG and T2DM decreased by 23% and 20% with each increase in one ideal CVH metrics, with OR (95%CI) of 0.77(0.65-0.92) and 0.80(0.71-0.90), respectively (P -trend < 0.001). TyG fully mediated the ideal CVH and the incidence of T2DM, and its mediating effect OR (95%CI) was 0.88(0.84-0.91). CONCLUSIONS Each increase in an ideal CVH measure may effectively reduce the risk of abnormal glucose metabolism by more than 20%.
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Affiliation(s)
- Yongcheng Ren
- Affiliated Hospital of Huanghuai University, Zhumadian Central Hospital, Zhumadian, 463000, He'nan, People's Republic of China.
- Institute of Health Data Management, Huanghuai University, Zhumadian, 463000, He'nan, People's Republic of China.
- Digital Medicine Center, Pingyu People's Hospital, Zhumadian, He'nan, People's Republic of China.
- Department of Chronic Disease Prevention and Control, Center for Disease Control and Prevention, Jiyuan, 459099, He'nan, People's Republic of China.
| | - Wenwen Wang
- Institute of Health Data Management, Huanghuai University, Zhumadian, 463000, He'nan, People's Republic of China
| | - Haiyin Zou
- Institute of Health Data Management, Huanghuai University, Zhumadian, 463000, He'nan, People's Republic of China
| | - Yicun Lei
- Institute of Health Data Management, Huanghuai University, Zhumadian, 463000, He'nan, People's Republic of China
| | - Yiduo Li
- Institute of Health Data Management, Huanghuai University, Zhumadian, 463000, He'nan, People's Republic of China
| | - Zheng Li
- Institute of Health Data Management, Huanghuai University, Zhumadian, 463000, He'nan, People's Republic of China
| | - Xiaofang Zhang
- Institute of Health Data Management, Huanghuai University, Zhumadian, 463000, He'nan, People's Republic of China
| | - Lingzhen Kong
- Affiliated Hospital of Huanghuai University, Zhumadian Central Hospital, Zhumadian, 463000, He'nan, People's Republic of China.
| | - Lei Yang
- Institute of Health Data Management, Huanghuai University, Zhumadian, 463000, He'nan, People's Republic of China
| | - Fuqun Cao
- Institute of Health Data Management, Huanghuai University, Zhumadian, 463000, He'nan, People's Republic of China
| | - Wei Yan
- Affiliated Hospital of Huanghuai University, Zhumadian Central Hospital, Zhumadian, 463000, He'nan, People's Republic of China
| | - Pengfei Wang
- Affiliated Hospital of Huanghuai University, Zhumadian Central Hospital, Zhumadian, 463000, He'nan, People's Republic of China.
- Digital Medicine Center, Pingyu People's Hospital, Zhumadian, He'nan, People's Republic of China.
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Srivanichakorn W, Godsland IF, Washirasaksiri C, Phisalprapa P, Charatcharoenwitthaya P, Pramyothin P, Sitasuwan T, Preechasuk L, Elkeles R, Alberti KGMM, Johnston DG, Oliver NS. Cardiometabolic risk factors in Thai individuals with prediabetes treated in a high-risk, prevention clinic: Unexpected relationship between high-density lipoprotein cholesterol and glycemia in men. J Diabetes Investig 2019; 10:771-779. [PMID: 30387292 PMCID: PMC6497610 DOI: 10.1111/jdi.12967] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2018] [Revised: 10/02/2018] [Accepted: 10/26/2018] [Indexed: 12/18/2022] Open
Abstract
AIMS/INTRODUCTION Relationships between cardiometabolic risk and glycemia have rarely been studied in people under clinical evaluation and treatment for cardiometabolic risk and with prediabetes. We investigated relationships between glycemia and cardiometabolic risk factors in clinic participants with prediabetes. MATERIALS AND METHODS This was a cross-sectional analysis of data collected at a center in Thailand. Clinic attendees were at high risk of diabetes or cardiovascular disease, with hemoglobin A1c (HbA1c) 39-<48 mmol/mol or fasting plasma glucose (FPG) 5.6-<7.0 mmol/L. The relationships between glycemia and cardiometabolic risk factors were explored. RESULTS Of 357 participants, two or more insulin resistance-related metabolic disturbances were present in 84%; 61% took a statin and 75% an antihypertensive agent. Independently of age, sex, adiposity, medication use, possible non-alcoholic fatty liver disease and sex-glycemia interaction, neither FPG nor HbA1c were associated with variation in any other cardiometabolic risk factors. High-density lipoprotein cholesterol decreased with HbA1c in women (female-HbA1c interaction, P = 0.03) but, unexpectedly, increased with FPG in men (male-FPG interaction, P = 0.02). CONCLUSIONS Overall, in Thai people treated for high cardiometabolic risk and with prediabetes defined by FPG and/or HbA1c, neither FPG nor HbA1c were associated with other cardiometabolic risk factors. However, according to sex, high-density lipoprotein cholesterol showed the expected relationship with glycemia in women, but the reverse in men.
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Affiliation(s)
- Weerachai Srivanichakorn
- Diabetes, Endocrinology and Metabolic MedicineDepartment of MedicineImperial College LondonLondonUK
- Department of MedicineFaculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
- Siriraj Diabetes CenterFaculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
| | - Ian F Godsland
- Diabetes, Endocrinology and Metabolic MedicineDepartment of MedicineImperial College LondonLondonUK
| | - Chaiwat Washirasaksiri
- Department of MedicineFaculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
| | - Pochamana Phisalprapa
- Department of MedicineFaculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
| | | | - Pornpoj Pramyothin
- Department of MedicineFaculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
| | - Tullaya Sitasuwan
- Department of MedicineFaculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
| | - Lukana Preechasuk
- Siriraj Diabetes CenterFaculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
| | - Robert Elkeles
- Diabetes, Endocrinology and Metabolic MedicineDepartment of MedicineImperial College LondonLondonUK
| | - K George MM Alberti
- Diabetes, Endocrinology and Metabolic MedicineDepartment of MedicineImperial College LondonLondonUK
| | - Desmond G Johnston
- Diabetes, Endocrinology and Metabolic MedicineDepartment of MedicineImperial College LondonLondonUK
| | - Nick S Oliver
- Diabetes, Endocrinology and Metabolic MedicineDepartment of MedicineImperial College LondonLondonUK
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