Assessment of Lifestyle Practices, Medication Adherence and Cardiovascular Complications of Metabolic Syndrome in Geriatric Inpatients at Tertiary Care Hospital
Keywords:
Geriatrics, Cardiovascular Diseases, Lifestyle, Metabolic syndrome, Physical activityAbstract
Background: Metabolic syndrome is the major risk factor for cardiovascular diseases. The combination of proper education, good lifestyle practices, and medication adherence helps to improve good therapeutic effect and quality of life. And also, prevent cardiovascular complications.
Objective: To assess the lifestyle practices and cardiovascular complications of metabolic syndrome in geriatric patients. And also, to evaluate the medication adherence and barriers for non-compliance.
Methodology: This was a hospital based cross-sectional study conducted for a duration of one year. Totally, 650 of both male and female patients of age above 65 were enrolled. Ethical approval was obtained from MIMS, Mandya. The patients who are having at least three components from the diagnostic criteria of South Asians were included. Details such as demographics, lifestyle practices, occupation, physical activity, medication adherence, and cardiovascular complications were collected and subjected to statistical analysis.
Results: Among 650 patients, 344 (53%) male patients are more admitted to the hospital. There is a relationship between age, education, economic status, and area of residence with respect to metabolic syndrome. The good lifestyle practices, such as a protein and fat diet, are seen in 165 (25.6%) patients. The maximum number of patients consume 521 (80.3%) of 3 times coffee/day as a bad habit. Physical activity was seen in 216 (33.5%) patients. Medication adherence was found to be 58.9% of patients, and forgetfulness was the main barrier to non-adherence in 34 (27%) patients. Among cardiovascular complications, the majority are suffering from coronary artery diseases 104 (35%).
Conclusion: Our study concludes that male patients were more prevalent, and age, income, education, and residence also influence the development of metabolic syndrome. Lifestyle practices and medication adherence both are essential to achieving good therapeutic effect and preventing cardiovascular complications in geriatric patients.
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Elliott R. Geriatric pharmacy practice. In: Parthasarathi G, Hansen K N, Nahata M C, editors. A text book of clinical pharmacy practice. Chennai: Orient longman private limited; 2004. Pp. 190-218.
Kexin Zhang, Yujie Ma, Youhong Luo, Yixin Song and Guoji Xiong. Metabolic diseases and healthy aging: identifying environmental and behavioral risk factors and promoting public health. Frontiers in Public Health;2023. Doi: 10.3389/fpubh.2023.1253506
Xiao Xu, Huajuan Xu, Ming Li, Shuying Yan and Huilin Chen. Metabolic syndrome is associated with mortality in elderly patients with acute respiratory distress syndrome Diabetology & Metabolic Syndrome (2024) 16:191. Doi: https://doi.org/10.1186/s13098-024-01420-x.
Carolyn Mae Peterseim, Katarzyna Jabbour, and Ashwini Kamath Mulki. Metabolic Syndrome: An Updated Review on Diagnosis and Treatment for Primary Care Clinicians. Journal of Primary Care & Community Health 2024; 15: 1–11. Doi: https://doi.org/10.1177/21501319241309168.
Saurav Basu Mrunali Zode, Refaat Hassan, Arun James Thirunavukarasu and Vansh Maheshwari. Burden, determinants and treatment status of metabolic syndrome among older adults in India: a nationally representative, community- based cross- sectional survey. BMJ Public Health. 2023;1:000389. Doi:10.1136/bmjph-2023-000389.
Farhad Saeedi, Elnaz Baqeri, Ali Bidokhti, Mitra Moodi and Farshad Sharifi. Clinical utility of lipid ratios as potential predictors of metabolic syndrome among the elderly population: Birjand Longitudinal Aging Study (BLAS). BMC Geriatrics. 2023; 23:403. Doi :https://doi.org/10.1186/s12877-023-04040-8.
Nilcéia Lopes, Antonio Carlos Zanini, Antonio Casella-Filho and Antonio Carlos Palandri Chagas. Metabolic Syndrome Patient Compliance with Drug Treatment. CLINICS 2008;63(5):573-80. Doi: 10.1590/S1807-59322008000500002.
Pablo Perez-Martınez, Dimitri P. Mikhailidis, Vasilios G. Athyros and Monica Bullo et al. Lifestyle recommendations for the prevention and management of metabolic syndrome: an international panel recommendation. Nutrition Reviews 2017; 75(5):307–26. Doi: 10.1093/nutrit/nux014.
Eman A. Alefishat,Rana K. Abu Farha and Mutaz M. Al-Debei. Self-Reported Adherence among Individuals at High Risk of Metabolic Syndrome: Effect of Knowledge and Attitude. Med Princ Pract. 2017;26:157–163. DOI: 10.1159/000453037.
Ashley Smaje, Maryse Weston-Clark, Ranjana Raj, Mine Orlu and Daniel Davis. Factors associated with medication adherence in older patients: A systematic review. Aging Medicine 2018;1:254–266. DOI: 10.1002/agm2.12045.
Donatella Ambroseli, Fabrizio Masciulli, Enrico Romano, Giuseppina Catanzaro, Zein Mersini and Maria Chaira et. al. New Advances in Metabolic Syndrome, from Prevention to Treatment: The Role of Diet and Food. Nutrients 2023 Jan 26;15(3):640. Doi: 10.3390/nu15030640.
Johnathan D. Tune, Adam G. Goodwill, Daniel J. Sassoon, and Kieren J. Mather. Cardiovascular Consequences of Metabolic Syndrome. Transl Res 2017;183:57–70. Doi: 10.1016/j.trsl.2017.01.001.
Guarner Veronica and Rubio-Ruiz Maria Esther. Aging, Metabolic Syndrome and the Heart. Aging and disease 2012;3(3):269-79.
Kuan Zeng, Shuo Wang, Lin Zhang, Yanting Zhang4 and Jun Ma1. Gender differences in prevalence and associated factors of metabolic syndrome in first-treatment and drug-naïve schizophrenia patients. Annals of General Psychiatry 2023;2-10. Doi: https://doi.org/10.1186/s12991-023-00455-0.
Chul Young Bae, Meihua Piao, Miyoung Kim, Yoori Im and Sungkweon Kim. Biological age and lifestyle in the diagnosis of metabolic syndrome: the NHIS health screening data,2014–2015.Scientific Reports 2023;11-444.Doi: https://doi.org/10.1038/s41598-020-79256-4.
Liza A. Hoveling, Aart C. Liefbroer, Ute Bültmann and Nynke Smidt. Socioeconomic differences in metabolic syndrome development: examining the mediating role of chronic stress using the Lifelines Cohort Study. BMC Public Health 2022;22(261):1-11. Doi: https://doi.org/10.1186/s12889-022-12684-1.
Grzegorz Józef Nowicki, Barbara Ślusarska, Katarzyna Naylo, Andrzej Prystupa and Ewa Rudnicka-Drożak et al. The Relationship Between the Metabolic Syndrome and the Place of Residence in the Local Community on the Example of the Janów Lubelski District in Eastern Poland: A Population-Based Study. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2021;(14):2041–2056. Doi: https://doi.org/10.2147/DMSO.S301639.
Sufyan Bakuri Suara, Fereydoun Siassi, Mahama Saaka, Abbas Rahimiforoushani and Gity Sotoudeh. Relationship between dietary carbohydrate quality index and metabolic syndrome among type 2 diabetes mellitus subjects: a case-control study from Ghana. BMC Public Health 2021:21; 1-12. Doi: https://doi.org/10.1186/s12889-021-10593-3.
Jeffrey J. VanWormera, Jackie L. Boucher, Abbey C. Sidebottomc, Arthur Sillah and Thomas Knickelbined. Lifestyle changes and prevention of metabolic syndrome in the Heart of New Ulm Project. Preventive Medicine Reports. 2017:242–245. Doi: http://dx.doi.org/10.1016/j.pmedr.2017.03.018.
Soo Kyung Park, PhD, RN and Janet L. Larson, PhD, RN. The Relationship Between Physical Activity and Metabolic Syndrome in People with Chronic Obstructive Pulmonary Disease. J Cardiovasc Nurs 2014;29(6):499–507. Doi:10.1097/JCN.0000000000000096.
Megan Sarah Mathew, Vijayakarthikeyan M, Kavinkumar Saravanan, Angeline Grace and Angayarkanni P. Exploration of the Reasons for Poor Adherence Among Metabolic Syndrome. Cureus 2024;16(11):74753. Doi: 10.7759/cureus.74753.
Kirsi Kvarnström, Aleksi Westerholm, Marja Airaksinen and HelenaLiira. Factors Contributing to Medication Adherence in Patients with a Chronic Condition: A Scoping Review of Qualitative Research. Pharmaceutics 2021,13,1100. Doi: https://doi.org/10.3390/pharmaceutics13071100.
Motamed, N., Rabiee, B., Roozafzai, F., Zamani, F., Faraji, A. H., Maadi, M and Hemasi, G. R. (2017). Metabolic syndrome and cardiovascular risk assessment tools’ estimations of 10-year cardiovascular risk: a population-based study. Acta Cardiologica. 73(5),439–446. Doi: https://doi.org/10.1080/00015385.2017.1410335.
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