Abstract
Cognitive impairment is a medical condition commonly found in elderly populations, which can be due to vascular risk factors in patients. There remains limited data on risk factors for cognitive impairment among coastal region populations. This study aimed to investigate risk factors for cognitive impairment in the adult population of Maringkik Island, West Nusa Tenggara Province, Indonesia. Data collected were age, sex, education level, hypertension, antihypertensive treatment, diabetes mellitus, cigarette smoking, and body mass index status. A total of 114 participants were recruited using a consecutive sampling method. The participants’ cognitive function assessment used the Mini-Cog instrument. The cognitive impairment frequency in the island’s adult population was approximately 48.2%. The final model of multiple regression analysis showed that hypertension (OR: 2.3; 95%CI: 1.0 – 5.0; p-value: 0.045) was a characteristic associated with the cognitive impairment frequency. Thus, the high frequency of cognitive impairment and hypertension frequency as primary risk factors for cognitive impairment in the island’s adult population implies the need to develop strategies for detecting and managing hypertension and hypertension-related cognitive impairment in the population by local health authorities.
References
1. Ruano L, Araújo N, Branco M, et al. Prevalence and causes of cognitive impairment and dementia in a population-based cohort from Northern Portugal. Am J Alzheimers Dis Other Demen. 2019; 34 (1): 49-56. DOI: 10.1177/1533317518813550.
2. Lu Y, Liu C, Yu D, et al. Prevalence of mild cognitive impairment in community-dwelling Chinese populations aged over 55 years: A meta-analysis and systematic review. BMC Geriatr. 2021; 21 (1): 10. DOI: 10.1186/s12877-020-01948-3.
3. Knopman DS, Beiser A, Machulda MM, et al. Spectrum of cognition short of dementia: Framingham Heart Study and Mayo Clinic Study of Aging. Neurology. 2015; 85 (19): 1712-1721. DOI: 10.1212/WNL.0000000000002100.
4. Cipriani G, Danti S, Picchi L, et al. Daily functioning and dementia. Dement Neuropsychol. 2020; 14 (2): 93-102. DOI: 10.1590/1980-57642020dn14-020001.
5. Cheng YW, Chiu MJ, Chen YF, et al. The contribution of vascular risk factors in neurodegenerative disorders: From mild cognitive impairment to Alzheimer’s disease. Alzheimers Res Ther. 2020; 12 (1): 91. DOI: 10.1186/s13195-020-00658-7.
6. Ganguli M, Fu B, Snitz BE, et al. Vascular risk factors and cognitive decline in a population sample. Alzheimer Dis Assoc Disord. 2014; 28 (1): 9-15.DOI: 10.1097/WAD.0000000000000004.
7. Shi L, Tao L, Chen N, et al. Relationship between socioeconomic status and cognitive ability among Chinese older adults: The moderating role ofsocial support. Int J Equity Health. 2023; 22 (1): 70. DOI: 10.1186/s12939-023-01887-6.
8. Zhang Z, Zhao Y, Bian Y. A role of socioeconomic status in cognitive impairment among older adults in Macau: A decomposition approach. Front Aging Neurosci. 2022; 14: 804307. DOI: 10.3389/fnagi.2022.804307
9. Barnett JH, Lewis L, Blackwell AD, et al. Early intervention in Alzheimer’s disease: A health economic study of the effects of diagnostic timing. BMC Neurol. 2014; 14: 101. DOI: 10.1186/1471-2377-14-101.
10. Sabbagh MN, Boada M, Borson S, et al. Rationale for early diagnosis of mild cognitive impairment (MCI) supported by emerging digital technologies. J Prev Alzheimers Dis. 2020; 7 (3): 158-164. DOI: 10.14283/jpad.2020.19.
11. Xiao-Dong Z, Shao-Zhao Z, Xun H, et al. Association of residential proximity to the coast with incident myocardial infarction: A prospective cohort study. Front Cardiovasc Med. 2022; 9: 752964. DOI: 10.3389/fcvm.2022.752964.
12. Chen X, Wei W, Zou S, et al. Trends in the prevalence of hypertension in island and coastal areas of China: A systematic review with meta-analysis. Am J Hypertens. 2014; 27 (12): 1503-1510. DOI: 10.1093/ajh/hpu026.
13. McElligott K, McElligott J, Rivell G, et al. Assessment of cardiovascular disease risk factors in the coastal region of South Carolina. Ethn Dis. 2014; 24 (2): 155-161.
14. He F, Liao Z, Li YM, et al. Prevalence and clustering of cardiovascular risk factors among resident of coastal areas in Qinzhou, Guangxi, China. J Cardiothorac Surg. 2023; 18 (1): 70. DOI: 10.1186/s13019-023-02137-0.
15. Liu L, Fan Y, Wang Z, et al. Disparity in risk factors of ischemic stroke in four coastal-area hospitals in China. Heliyon. 2024; 10 (2): e24745. DOI: 10.1016/j.heliyon.2024.e24745.
16. Solihin RS, Harahap HS, Verawati V, et al. Optimalisasi kesehatan masyarakat Pulau Maringkik demi terciptanya desa sehat. Pros Semin Nas Gelar Wicara. 2023; 1 (1): 319-324.
17. Farapti F, Fatimah AD, Astutik E, et al. Awareness of salt intake among community-dwelling elderly at coastal area: The role of public health access program. J Nutr Metab. 2020; 8793869. DOI: 10.1155/2020/8793869.
18. Gorska-Ciebiada M, Saryusz-Wolska M, Ciebiada M, et al. Mild cognitive impairment and depressive symptoms in elderly patients with diabetes: Prevalence, risk factors, and comorbidity. J Diabetes Res. 2014; 2014: 179648. DOI: 10.1155/2014/179648.
19. Li X, Dai J, Zhao S, et al. Comparison of the value of Mini-Cog and MMSE screening in the rapid identification of Chinese outpatients with mild cognitive impairment. Medicine (Baltimore). 2018; 97 (22): 1-5. DOI: 10.1097/MD.0000000000010966.
20. Limpawattana P, Manjavong M. The mini-cog, clock drawing test, and three-item recall test: Rapid cognitive screening tools with comparable performance in detecting mild NCD in older patients. Geriatrics (Basel). 2021; 6 (3): 91. DOI: 10.3390/geriatrics6030091.
21. Hay M, Barnes C, Huentelman M, et al. Hypertension and age-related cognitive impairment: Common risk factors and a role for precision aging. Curr Hypertens Rep. 2020; 22 (10): 80. DOI: 10.1007/s11906-020-01090-w.
22. Ungvari Z, Toth P, Tarantini S, et al. Hypertension-induced cognitive impairment: From pathophysiology to public health. Nat Rev Nephrol. 2021; 17 (10): 639-654. DOI: 10.1038/s41581-021-00430-6.
23. Adnaabaatar M, Kim YE, Go DS, et al. Burden of disease in coastal areas of South Korea: An assessment using health insurance claim data. Int J Environ Res Public Health. 2019; 16 (17): 3044. DOI: 10.3390/ijerph16173044.
24. Yodang Y, Nuridah N. Prevalence and risk factors of hypertension in coastal and estuarine communities. Int J of Med Rev. 2019; 6 (4): 128-134. DOI: 10.30491/ijmr.2019.100909.
25. Astutik E, Puspikawati SI, Dewi DMSK, et al. Prevalence and risk factors of high blood pressure among adults in Banyuwangi coastal communities, Indonesia. Ethiop J Health Sci. 2020; 30 (6): 941-950. DOI: 10.4314/ejhs.v30i6.12.
26. Alifariki LO, Tukatman T, Bangu B, et al. Differences of sodium consumption pattern hypertension sufferer in coastal and highland communities in Wakatobi islands. Revista Bionatura. 2021; 6 (2):1736-1740. DOI: 10.21931/RB/2021.01.02.12.
27. Touyz RM, Alves-Lopes R, Rios FJ, et al. Vascular smooth muscle contraction in hypertension. Cardiovasc Res. 2018; 114 (4): 529–539. DOI: 10.1093/cvr/cvy023.
Recommended Citation
Harahap HS , Rivarti AW , Nurhidayati N ,
et al.
Risk Factors for Cognitive Impairment in Adult Population of Coastal Area: A Cross-Sectional Study in Maringkik Island, Indonesia.
Kesmas.
2024;
19(3):
162-168
DOI: 10.21109/kesmas.v19i3.1088
Available at:
https://scholarhub.ui.ac.id/kesmas/vol19/iss3/2
Included in
Biostatistics Commons, Environmental Public Health Commons, Epidemiology Commons, Health Policy Commons, Health Services Research Commons, Nutrition Commons, Occupational Health and Industrial Hygiene Commons, Public Health Education and Promotion Commons, Women's Health Commons