Risk Factors for Various Cognitive Function Decline Trajectories in Adults Over 40 Years of Age: A Retrospective Cohort Study
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Objective The aims of our study were to identify distinct trajectories of cognitive function using the group-based trajectory model. We also investigate which demographic factors act as risk factors for cognitive decline in each group.Methods The data from the Seoul National University Hospital Healthcare System Gangnam Center, from 2005 to 2019. The number of study subjects was 637. We used a group-based model to identify cognitive function trajectories. Multinomial logistic regression was employed to define risk factors for cognitive function decline.Results The cognitive function trajectories among adults over 40 years of age were heterogeneous. We identified four trajectories: high (27.3%), medium (41.0%), low (22.7%), and rapid decline (9.1%). Older age, male, low educational level, bad dietary habits, diabetes mellitus, technical worker, and lower income increased the likelihood of a cognitive function decline.Conclusion A younger age, a higher educational level, professional worker, good dietary habits, no diabetes mellitus, and no obesity improved cognitive function. A combination of these factors can improve “cognitive reserve” and delay cognitive decline. Interventions to prevent cognitive decline are needed after identification of high-risk groups for cognitive decline.
Abstract
Objective The aims of our study were to identify distinct trajectories of cognitive function using the group-based trajectory model. We also investigate which demographic factors act as risk factors for cognitive decline in each group.Methods The data from the Seoul National University Hospital Healthcare System Gangnam Center, from 2005 to 2019. The number of study subjects was 637. We used a group-based model to identify cognitive function trajectories. Multinomial logistic regression was employed to define risk factors for cognitive function decline.Results The cognitive function trajectories among adults over 40 years of age were heterogeneous. We identified four trajectories: high (27.3%), medium (41.0%), low (22.7%), and rapid decline (9.1%). Older age, male, low educational level, bad dietary habits, diabetes mellitus, technical worker, and lower income increased the likelihood of a cognitive function decline.Conclusion A younger age, a higher educational level, professional worker, good dietary habits, no diabetes mellitus, and no obesity improved cognitive function. A combination of these factors can improve “cognitive reserve” and delay cognitive decline. Interventions to prevent cognitive decline are needed after identification of high-risk groups for cognitive decline.
참고문헌 (49)
- Sung KW, "Degree of cognitive function, self-esteem and depression of the elderly by aging", J Nurs Acad Soc, 27, pp.36~48 (1997)
- 김정옥, "도예활동이 노인의 우울정서와 생활만족도에 미치는 효과", 가정과삶의질연구, 25(6), pp.95~110 (2007), 가정과삶의질학회
- Prince M, "The global prevalence of dementia : a systematic review and metaanalysis", Alzheimers Dement, 9, pp.63~75 (2013)
- The state of the art of dementia research : new frontiers, "Patterson C", Alzheimer’s Disease International, ~ (2018)
- World Alzheimer Report 2010: the global economic impact of dementia, "Wimo A", Alzheimer’s Disease International, ~ (2010)
- Herzog AR, "Measures of cognitive functioning in the AHEAD study", J Gerontol B Psychol Sci Soc Sci, 52B, pp.37~48 (1997)
- Håkansson K, "Association between mid-life marital status and cognitive function in later life : population based cohort study", BMJ, 339, pp.b2462~ (2009)
- Christensen H, "Age is no kinder to the better educated : absence of an association investigated using latent growth techniques in a community sample", Psychol Med, 31, pp.15~28 (2001)
- Liang J, "Socioeconomic gradient in old age mortality in Wuhan, China", J Gerontol B Psychol Sci Soc Sci, 55, pp.S222~S233 (2000)
- Zelinski EM, "Do medical conditions affect cognition in older adults?", Health Psychol, 17, pp.504~512 (1998)
- Spiro A 3rd, "Integrating health into cognitive aging : toward a preventive cognitive neuroscience of aging", J Gerontol B Psychol Sci Soc Sci, 66B(Suppl 1), pp.i17~i25 (2011)
- Anstey KJ, "Smoking as a risk factor for dementia and cognitive decline : a meta-analysis of prospective studies", Am J Epidemiol, 166, pp.367~378 (2007)
- Lyu J, "Alcohol consumption and cognitive impairment among Korean older adults : does gender matter?", Int Psychogeriatr, 26, pp.335~340 (2014)
- Lytle ME, "Exercise level and cognitive decline : the MoVIES project", Alzheimer Dis Assoc Disord, 18, pp.57~64 (2004)
- Hsu HC, "Does social participation by the elderly reduce mortality and cognitive impairment?", Aging Ment Health, 11, pp.699~707 (2007)
- Jiyoung Lyu, "Gender-Specific Incidence and Predictors of Cognitive Impairment among Older Koreans: Findings from a 6-Year Prospective Cohort Study", PSYCHIATRY INVESTIGATION, 13(5), pp.473~479 (2016), 대한신경정신의학회[DOI]
- Nagin DS, "Handbook of quantitative criminology", pp.53~67 (2010), Springer
- Nagin DS, "Group-based trajectory modeling in clinical research", Annu Rev Clin Psychol, 6, pp.109~138 (2010)
- Andreescu C, "Twelve-year depressive symptom trajectories and their predictors in a community sample of older adults", Int Psychogeriatr, 20, pp.221~236 (2008)
- Chen CM, "Trajectories of depression and their relationship with health status and social service use", Arch Gerontol Geriatr, 53, pp.e118~e124 (2011)
- Liang J, "Multiple trajectories of depressive symptoms in middle and late life : racial", ethnic variations, 2011, pp.26, 761~777
- 남일성, "노인 우울증 변화 궤적과 관련 위험 요인", Korean Journal of Health Promotion, 14(3), pp.112~120 (2014), 대한임상건강증진학회[DOI]
- Rosen WG, "Verbal fluency in aging and dementia", J Clin Neuropsychol, 2, pp.135~146 (1980)
- Lee DY, "A normative study of the CERAD neuropsychological assessment battery in the Korean elderly", J Int Neuropsychol Soc, 10, pp.72~81 (2004)
- Beeri MS, "Age, gender, and education norms on the CERAD neuropsychological battery in the oldest old", Neurology, 67, pp.1006~1010 (2006)
- Jones BL, "A note on a Stata plugin for estimating groupbased trajectory models", Sociol Methods Res, 42, pp.608~613 (2013)
- Huang DY, "Association between adolescent substance use and obesity in young adulthood : a group-based dual trajectory analysis", Addict Behav, 38, pp.2653~2660 (2013)
- Akaike H, "A new look at the statistical model identification", IEEE Trans Automat Contr, 19, pp.716~723 (1974)
- Nagin DS, "Group-based modeling of development" (2009), Harvard University Press
- Schwarz G, "Estimating the dimension of a model", Ann Stat, 6, pp.461~464 (1978)
- Jones BL, "A SAS procedure based on mixture models for estimating developmental trajectories", Sociol Methods Res, 29, pp.374~393 (2001)
- 노언경, "준모수적 집단 중심 방법을 적용한 청소년기 초기의 공격성 변화에 따른 잠재계층 분류와 관련요인 검증", 조사연구, 10(3), pp.37~58 (2009), 한국조사연구학회
- Feinstein L, "Measuring the effects of education on health and civic engagement", pp.171~354 (2006), OECD
- Vemuri P, "Association of lifetime intellectual enrichment with cognitive decline in the older population", JAMA Neurol, 71, pp.1017~1024 (2014)
- Park Y, "Prevalence of diabetes and IGT in Yonchon County, South Korea", Diabetes Care, 18, pp.545~548 (1995)
- Cho NH, "Diabetes epidemiology in Korean", Korean Diabetes J, 25, pp.1~10 (2001)
- Mills KT, "The global epidemiology of hypertension", Nat Rev Nephrol, 16, pp.223~237 (2020)
- Mahfoud F, "Treatment strategies for resistant arterial hypertension", Dtsch Arztebl Int, 108, pp.725~731 (2011)
- Ozougwu JC, "The pathogenesis and pathophysiology of type 1 and type 2 diabetes mellitus", J Physiol Pathophysiol, 4, pp.46~57 (2013)
- Waldstein SR, "The relation of hypertension to cognitive function", Curr Dir Psychol Sci, 12, pp.9~12 (2003)
- Teixeira MM, "Association between diabetes and cognitive function at baseline in the Brazilian longitudinal study of adult health(ELSABrasil)", Sci Rep, 10, pp.1596~ (2020)
- Duncan BB, "Low-grade systemic inflammation and the development of type 2 diabetes : the atherosclerosis risk in communities study", Diabetes, 52, pp.1799~1805 (2003)
- De Felice FG, "Inflammation, defective insulin signaling, and mitochondrial dysfunction as common molecular denominators connecting type 2 diabetes to Alzheimer disease", Diabetes, 63, pp.2262~2272 (2014)
- 이애영, "대사증후군과 치매", 대한신경과학회지, 29(3), pp.159~164 (2011), 대한신경과학회
- Han JS, "The relationship between body energy balance and problems of obesity and its effects on health", J Appl Tour Food Beverage Manag Res, 10, pp.219~238 (1999)
- Bashir AI, "Study on the effects of fast food on the glucose and lipid profile aims to provide a platform to advocate a healthier lifestyle and better eating habits", J Pharm Biol Sci, 5, pp.175~178 (2017)
- Kurlowicz L, "The Mini-Mental State Examination(MMSE)", J Gerontol Nurs, 25, pp.8~9 (1999)
- Umberson D, "Social relationships and health : a flashpoint for health policy", J Health Soc Behav, 51(Suppl 1), pp.S54~S66 (2010)
- 류한소, "사회적 교류와 노인의 인지기능: 연령에 따른 차이", 한국인구학, 42(4), pp.65~89 (2019), 한국인구학회[DOI]
