Age-specific findings on lifestyle and trajectories of cognitive function from the Korean Longitudinal Study of Aging
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OBJECTIVES: Few longitudinal studies have explored age-related differences in the relationship between lifestyle factors and cognitive decline. This study investigated lifestyle factors at baseline that slow the longitudinal rate of cognitive decline in young-old (55-64 years), middle-old (65-74 years), and old-old (75+ years) individuals. METHODS: We conducted an 11-year follow-up that included 6,189 older adults from the Korean Longitudinal Study of Aging, which is a cohort study of community-dwelling older Koreans. Lifestyle factors, including physical activity, social activity (SA), smoking, and alcohol consumption were assessed at baseline. Cognitive function was measured at 2-year intervals over 11 years. Latent growth modeling and multi-group analysis were performed. RESULTS: The influence of lifestyle factors on the rate of cognitive decline differed by age. Smoking at baseline (-0.05; 95% confidence interval [CI], -0.11 to -0.00, per study wave) accelerated cognitive decline in young-old individuals, whereas frequent participation in SA at baseline (0.02; 95% CI, 0.01 to 0.03, per study wave) decelerated cognitive decline in middle-old individuals. None of the lifestyle factors in this study decelerated cognitive decline in old-old individuals. CONCLUSIONS: Cognitive strategies based on modifiable lifestyle factors such as smoking cessation in young-old individuals and frequent SA participation in middle-old age individuals may have great potential for preventing cognitive decline. Because the influence of lifestyle factors varied by age group, age-specific approaches are recommended to promote cognitive health.
Abstract
OBJECTIVES: Few longitudinal studies have explored age-related differences in the relationship between lifestyle factors and cognitive decline. This study investigated lifestyle factors at baseline that slow the longitudinal rate of cognitive decline in young-old (55-64 years), middle-old (65-74 years), and old-old (75+ years) individuals. METHODS: We conducted an 11-year follow-up that included 6,189 older adults from the Korean Longitudinal Study of Aging, which is a cohort study of community-dwelling older Koreans. Lifestyle factors, including physical activity, social activity (SA), smoking, and alcohol consumption were assessed at baseline. Cognitive function was measured at 2-year intervals over 11 years. Latent growth modeling and multi-group analysis were performed. RESULTS: The influence of lifestyle factors on the rate of cognitive decline differed by age. Smoking at baseline (-0.05; 95% confidence interval [CI], -0.11 to -0.00, per study wave) accelerated cognitive decline in young-old individuals, whereas frequent participation in SA at baseline (0.02; 95% CI, 0.01 to 0.03, per study wave) decelerated cognitive decline in middle-old individuals. None of the lifestyle factors in this study decelerated cognitive decline in old-old individuals. CONCLUSIONS: Cognitive strategies based on modifiable lifestyle factors such as smoking cessation in young-old individuals and frequent SA participation in middle-old age individuals may have great potential for preventing cognitive decline. Because the influence of lifestyle factors varied by age group, age-specific approaches are recommended to promote cognitive health.
참고문헌 (40)
- Clouston SA, "The dynamic relationship between physical function and cognition in longitudinal aging cohorts", Epidemiol Rev, 35, pp.33~50 (2013)
- 임승주, "고령자의 라이프스타일이 인지저하에 미치는 융합적 요인", 한국융합학회논문지, 11(8), pp.229~236 (2020), 한국융합학회[DOI]
- Cohrdes C, "How you live is how you feel? Positive associations between different lifestyle factors, cognitive functioning, and health-related quality of life across adulthood", Qual Life Res, 27, pp.3281~3292 (2018)
- Dause TJ, "Aging gracefully : social engagement joins exercise and enrichment as a key lifestyle factor in resistance to age-related cognitive decline", Neural Regen Res, 14, pp.39~42 (2019)
- Yu J, "Super-cognition in aging : cognitive profiles and associated lifestyle factors", Appl Neuropsychol Adult, 27, pp.497~503 (2020)
- Liu T, "Does lifestyle matter? Individual lifestyle factors and their additive effects associated with cognitive function in older men and women", Aging Ment Health, 24, pp.405~412 (2020)
- Hamer M, "Physical activity and trajectories in cognitive function : English Longitudinal Study of Ageing", J Epidemiol Community Health, 72, pp.477~483 (2018)
- Min JW, "A longitudinal study of cognitive trajectories and its factors for Koreans aged 60 and over : a latent growth mixture model", Int J Geriatr Psychiatry, 33, pp.755~762 (2018)
- Blondell SJ, "Does physical activity prevent cognitive decline and dementia? : A systematic review and meta-analysis of longitudinal studies", BMC Public Health, 14, pp.510~ (2014)
- Sofi F, "Physical activity and risk of cognitive decline : a meta-analysis of prospective studies", J Intern Med, 269, pp.107~117 (2011)
- Bae SM, "The mediating effect of physical function decline on the association between social activity and cognitive function in middle and older Korean adults : analyzing ten years of data through multivariate latent growth modeling", Front Psychol, 11, pp.2008~ (2020)
- Zhou Y, "Association between social participation and cognitive function among middle-and old-aged Chinese : a fixed-effects analysis", J Glob Health, 10, pp.020801~ (2020)
- Aartsen MJ, "Activity in older adults : cause or consequence of cognitive functioning? A longitudinal study on everyday activities and cognitive performance in older adults", J Gerontol B Psychol Sci Soc Sci, 57, pp.P153~P162 (2002)
- Brown CL, "Social activity and cognitive functioning over time : a coordinated analysis of four longitudinal studies", J Aging Res, 2012, pp.287438~ (2012)
- Liao J, "Dynamic longitudinal associations between social support and cognitive function : a prospective investigation of the directionality of associations", J Gerontol B Psychol Sci Soc Sci, 73, pp.1233~1243 (2018)
- Hagger-Johnson G, "Cigarette smoking and alcohol drinking in a representative sample of English school pupils : cross-sectional and longitudinal associations", Prev Med, 56, pp.304~308 (2013)
- Gross AL, "Alcohol consumption and domain-specific cognitive function in older adults : longitudinal data from the Johns Hopkins Precursors Study", J Gerontol B Psychol Sci Soc Sci, 66, pp.39~47 (2011)
- Sink KM, "Effect of a 24-month physical activity intervention vs health education on cognitive outcomes in sedentary older adults : the LIFE randomized trial", JAMA, 314, pp.781~790 (2015)
- Ngandu T, "A 2 year multidomain intervention of diet, exercise, cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk elderly people(FINGER) : a randomised controlled trial", Lancet, 385, pp.2255~2263 (2015)
- Barnes DE, "The Mental Activity and eXercise(MAX)trial : a randomized controlled trial to enhance cognitive function in older adults", JAMA Intern Med, 173, pp.797~804 (2013)
- Lowsky DJ, "Heterogeneity in healthy aging", J Gerontol A Biol Sci Med Sci, 69, pp.640~649 (2014)
- Zhao H, "An accelerated degeneration of white matter microstructure and networks in the nondemented old-old", Cereb Cortex, 33, pp.4688~4698 (2023)
- Neugarten BL, "Age groups in American society and the rise of the young-old", Ann Am Acad Pol Soc Sci, 415, pp.187~198 (1974)
- Livingston G, "Dementia prevention, intervention, and care : 2020 report of the Lancet Commission", Lancet, 396, pp.413~446 (2020)
- Korea Labor Institute, "User guide for 2020 Korean Longitudinal Study of Ageing", Korea Labor Institute, 1~2 (2020)
- Kang Y, "A validity study on the Korean Mini-Mental State Examination(K-MMSE)in dementia patients", J Korean Neurol Assoc, 15, pp.300~308 (1997)
- Folstein MF, ""Mini-mental state". A practical method for grading the cognitive state of patients for the clinician", J Psychiatr Res, 12, pp.189~198 (1975)
- Kim JH, "Regular physical exercise and its association with depression : a population-based study short title : exercise and depression", Psychiatry Res, 309, pp.114406~ (2022)
- Choi Y, "A change in social activity affect cognitive function in middle-aged and older Koreans : analysis of a Korean Longitudinal Study on Aging(2006-2012)", Int J Geriatr Psychiatry, 31, pp.912~919 (2016)
- Lee Y, "Examining the effects of multiple chronic conditions on cognitive decline and potential moderators among older Koreans : findings from the Korean Longitudinal Study of Ageing 2006-2016", Arch Gerontol Geriatr, 95, pp.104424~ (2021)
- Radloff LS, "The CES-D scale : a self-report depression scale for research in the general population", Appl Psychol Meas, 1, pp.385~401 (1977)
- 이현주, "중ㆍ고령자의 사회활동참여와 인지기능 - 상호관계에 대한 종단연구", 정신건강과 사회복지, 43(1), pp.138~167 (2015), 한국정신건강사회복지학회
- Hu, LT, "Cutoff criteria for fit indexes in covariance structure analysis : conventional criteria versus new alternatives", Struct Equ Modeling, 6, pp.1~55 (1999)
- Sabia S, "Impact of smoking on cognitive decline in early old age : the Whitehall II cohort study", Arch Gen Psychiatry, 69, pp.627~635 (2012)
- Evans IE, "Social isolation and cognitive function in later life : a systematic review and meta-analysis", J Alzheimers Dis, 70(s1), pp.S119~S144 (2019)
- Lee S, "Change is good for the brain : activity diversity and cognitive functioning across adulthood", J Gerontol B Psychol Sci Soc Sci, 76, pp.1036~1048 (2021)
- Bielak AA, "Two sides of the same coin? Association of variety and frequency of activity with cognition", Psychol Aging, 34, pp.457~466 (2019)
- Wu Z, "Distinct cognitive trajectories in late life and associated predictors and outcomes : a systematic review", J Alzheimers Dis Rep, 4, pp.459~478 (2020)
- Beydoun MA, "Epidemiologic studies of modifiable factors associated with cognition and dementia : systematic review and meta-analysis", BMC Public Health, 14, pp.643~ (2014)
- Yaffe K, "A prospective study of physical activity and cognitive decline in elderly women : women who walk", Arch Intern Med, 161, pp.1703~1708 (2001)
