Risk Factors for Developing Cardiovascular Disease in The next 10-Years in Type 2 DM
Keywords:
cardiovascular risk in the next ten years, type 2 diabetes mellitus, self-managementAbstract
This descriptive correlational study aimed to identify factors that may predict cardiovascular risk over the next decade in 144 individuals with type 2 diabetes attending internal medicine outpatient departments and diabetes clinics at two hospitals. The data collection comprised retrospective blood test results from the preceding six months, along with measurements of body weight, height, waist circumference, and blood pressure. Additionally, responses to questionnaires were gathered, addressing general information, pertinent health history, self-management behaviors for diabetes, and 10-year cardiovascular risk assessment. Descriptive statistics and logistic regression analysis were employed for data analysis
The results indicated that the mean 10-year cardiovascular risk was 17.10%, with 33.33% of patients categorized as low risk and 66.67% as high risk. Significant factors associated with elevated 10-year cardiovascular risk, as opposed to low risk (p < .05), encompassed age, systolic blood pressure, duration of diabetes, and cholesterol levels. Individuals aged over 65 years (OR = 69.71, 95%CI = 7.90–616.19, p < .05) and those with systolic blood pressure exceeding 140 mmHg (OR = 8.33, 95%CI = .78–89.52, p < .05) were significant predictors of cardiovascular risk. The model was able to account for 75% of the variance in 10-year cardiovascular risk.
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References
World Health Organization. Implementation roadmap 2023–2030 for the global action plan for the prevention and control of noncommunicable diseases. Geneva: WHO; 2023.
Tsao CW, & Vasan RS. Cohort Profile: The framingham heart study (FHS): overview of milestones in cardiovascular epidemiology. International journal of epidemiology. 2015; 44(6):1800-13. doi:10.1093/ije/dyv337
Faculty of Medicine, Ramathibodi Hospital, Mahidol University. Thai CV Risk Score.2015.
Fan W. Epidemiology in diabetes mellitus and cardiovascular disease. Cardiovascular endocrinology. 2017;6(1):8-16. doi:10.1097/XCE.0000000000000116
Lacolley P, Regnault V, & Avolio AP. Smooth muscle cell and arterial aging: basic and clinical aspects. Cardiovascular research. 2018;114(4):513-28. doi:10.1093/cvr/cvy009
Yang HH, Li FR, Chen ZK, Liu YH, Wang XL, Zhao D, et al. M. Duration of diabetes, glycemic control, and risk of heart failure among adults with diabetes: a cohort study. The Journal of clinical endocrinology and metabolism. 2023 ;108(5):1166-72. doi:10.1210/clinem/dgac642
Kalra S, Jena BN, & Yeravdekar R. Emotional and psychological needs of people with diabetes. Indian journal of endocrinology and metabolism. 2018;22(5):696-704. doi:10.4103/ijem.IJEM_579_17
American Diabetes Association Professional Practice Committee. 2. Classification and diagnosis of diabetes: standards of medical care in diabetes-2022. Diabetes Care. 2022;45(Suppl 1):S17-S38. doi:10.2337/dc22-S002
Díez-Villanueva P, Jiménez-Méndez C, Bonanad C, Núñez J, Sanchis J, Vidán MT, et al. Risk factors and cardiovascular disease in the elderly. Reviews in Cardiovascular Medicine. 2022;23(6):1–12. doi:10.31083/j.rcm2306188.
Creer TL. Self-management of chronic illness. In: Boekaerts M, Printrich PR, Zeidner M, editors. Handbook of self-regulation. San Diego, CA: Academic Press; 2000.
Eroglu N, & Sabuncu N. The effect of education given to type 2 diabetic individuals on diabetes self-management and self-efficacy: Randomized controlled trial. Primary care diabetes. 2021;15(3):451-58. doi:10.1016/j.pcd.2021.02.011
Vasuri A, Wirojratana V, Watanakijkrilert D, & Assantachai P. Effects of self-regulation program on self-management behaviors using telehealth in older adults with uncontrolled type 2 diabetes mellitus. Journal of The Royal Thai Army Nurses. 2024;25(3):82-90. (inThai).
Hsieh FY, Bloch DL, & Larsen MD. A Simple method of sample size calculation for linear and logistic regression. Statistics in Medicine.1998.
Kingkaew N, & Antadech T. Cardiovascular risk factors and 10-year cv risk scores in adults aged 30-70 years old in Amnat Charoen Province, Thailand. Asia-Pacific Journal of Science and Technology. 2019; 24 (4):1-9. (in Thai).
Hudspeth B. The burden of cardiovascular disease in patients with diabetes. The American journal of managed care. 2018; 24:S268-S72.
Boontein P, Anuritprasert B, & Saneha C. Factors related to metabolic syndrome among patients at out-patient department. Nursing Science Journal of Thailand. 2017;35(4):74-86. (in Thai).
Bunyun S. Related factors of coronary artery disease and stroke in diabetes specialty clinic in Phaisali Hospital Phaisali District Nakhon Sawan Province. Journal of Preventive Medicine Association of Thailand. 2018;6(3): 256-66. (in Thai).
Wang C, Ye D, Xie Z, Lu Y, Yang L, Zheng Z, et al. Assessment of cardiovascular risk factors and theirinteractions in the risk of coronary heart disease in patients with type 2 diabetes with different weight levels, 2013–2018. Diabetes, Metabolic Syndrome and Obesity. 2021; 14:4253–62. doi:10.2147/DMSO.S335017.
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