Predictors of Cognitive Function Decline of Elderly : Using Living Conditions and Welfare Needs of Older Korean Persons Panel Data

Park, Hyun Kyung; Song, Hyunjong

doi:10.12811/kshsm.2016.10.3.147

Cited by 8 publications

(7 citation statements)

References 11 publications

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“…Vascular risk factors such as hypertension and diabetes are estimated to be risk factors for the progression of cognitive decline and transition from mild cognitive impairment to dementia [ 6 , 21 , 26 ]. But the results of the present study showed that there was no difference in cognitive function according to diabetes and stroke, which were inconsistent with the results of previous studies [ 8 , 17 , 21 ]. Further studies are needed to investigate the degree of hypertension and duration of disease.…”

Section: Discussioncontrasting

confidence: 99%

“…Regarding drinking among lifestyle factors, ‘never-drinkers’ and ‘those who stopped drinking’ among the man participants had a lower cognitive function than the current drinkers, whereas the ‘current drinkers’ in the women group were found to have the lowest cognitive function score (22.33±5.25 points), suggesting that the effects of drinking on cognitive function may differ according to gender. The studies by Park & Song [ 8 ], Shin et al [ 23 ], and Kim & Shim [ 24 ] have reported that drinking was associated with cognitive function; however, Topiwala et al [ 25 ] reported through a systematic literature review that drinking was not associated with dementia. The results of the present study also showed that the effects of drinking on cognitive function were not clear.…”

Section: Discussionmentioning

confidence: 99%

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Factors affecting cognitive function according to gender in community-dwelling elderly individuals

Kim

Park

2017

Epidemiol Health

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OBJECTIVESThis study aimed to identify the factors affecting the cognitive function of elderly people in a community by gender.METHODSWe obtained 4,878 secondary data of people aged ≥65 years in 2016 at a dementia prevention center in Gyeyang-gu, Incheon. Data were obtained through Mini-Mental Status Examination optimized for screening dementia and a questionnaire. The data were statistically analyzed using analysis of variance, analysis of covariance, and hierarchical regression.RESULTSThere were significant differences in cognitive function according to gender, and the differences were significant even when age was controlled, but gender differences disappeared when education was controlled. Age, education, social activities, number of comorbid diseases, and alcohol drinking affected cognitive function through interaction with gender, but interaction with gender disappeared when education was controlled. Regression analysis showed that depression, cohabitant, social activities etc., had a significant impact on both men and women under controlled education and age. In men, the effect of social activities was greater than that of women, and hyperlipidemia had the effect only in women.CONCLUSIONSThe differences in gender-related cognitive functions were due to differences in gender education period. The period of education is considered to have a great influence on cognitive function in relation to the economic level, occupation, and social activity.

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Section: Discussioncontrasting

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Factors affecting cognitive function according to gender in community-dwelling elderly individuals

Kim

Park

2017

Epidemiol Health

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“…According to the results of previous studies, age, education level, and degree of depression had an effect on mild cognitive impairment [12] and subjective cognitive decline in older adults [13,14]. In addition, activity ability, diabetes, smoking, exercise, subjective health status, and social relationships affected cognitive decline [15][16][17]. Legdeur et al [18] found that smoking, high LDL, and depression were risk factors for cognitive decline in participants aged 50 to 70 years, whereas stroke and hypertension were risk factors in participants aged 70 years and older, indicating a difference by age.…”

Section: Introductionmentioning

confidence: 96%

Influencing Factors of Subjective Cognitive Impairment in Middle-Aged and Older Adults

Roh

Dan

Kim

2021

IJERPH

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The purpose of this study was to identify the factors affecting subjective cognitive impairment. We analyzed data from the 2019 Korea Community Health Survey and enrolled 68,546 middle-aged adults, aged 50 to 64 years, and 74,547 older adults, aged 65 years and older, in this study. Multiple logistic regression analysis was performed to identify factors influencing subjective cognitive impairment. Of the participants, 11,926 (17.4%) middle-aged and 21,880 (29.4%) older adults living in the community reported subjective cognitive impairment. Major factors that influenced subjective cognitive impairment in both middle-aged and older adults were gender, subjective stress, depressive symptoms, and alcohol drinking. In contrast to middle-aged adults, the marital status of older adults affected subjective cognitive impairment. Therefore, the factors affecting subjective cognitive impairment in middle-aged and older adults need to be considered for screening and management to prevent cognitive impairment and dementia. In particular, it is necessary to evaluate and manage stress and depressive symptoms from middle age to prevent subjective cognitive impairment.

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“…, 1996;Park et al, 2001;Jang et al, 2003;Crews & Campbell, 2004;Lee & Jeon, 2006;Pinto et al, 2014;Chen et al, 2015). 또한 인지기능이 양호하지 않을수록 신체기능 역시 양호하지 않았으며 젊은 노인보다는 고령 노인에서 더욱 영향력이 크다고 보고하였다 (Lytle et al, 2004;Lee & Jeon, 2006;Rockwood & Middleton, 2007;Wang, 2010;Se, 2012;Park, 2014 (Kim, Kim, & Kim, 2011;Pinto et al, 2014;Wong, Yu, Chna, & Tong, 2014). 이 는 젊은 노인보다는 고령 노인에서 더욱 영향이 커짐을 발 견하였다 (Clemons, Rankin, & McBee, 2006;Kim et al, 2011;Pinto et al, 2014;Wong et al, 2014).…”

Section: (T) 75(y)unclassified

Relationships between the sensory, cognitive and physical functions of young-old and old-old individuals

Jeon¹,

Lee²

2016

Korean Journal of Health Education and Promotion

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Objectives: This study aims to define the relationships between the sensory, cognitive and physical functions of young-old and old-old individuals. Methods: Participants were 10,451 elderly individuals aged 65 and above, raw data of a 2014 National Survey on Korean Older Persons was used. To investigate the relationships among the sensory, cognitive, and physical functions, a structural equation model was used. Results: The key analysis results are summarized as follows; 5% had poor vision function(young-old 3.5%, old-old 7.1%), 3.8% had poor auditory function(young-old 1.7%, old-old 6.7%), 33.0% had decline in cognitive function(young-old 30.9%, old-old 35.7%), 3.6% were disabled(young-old 1.6%, old-old 6.3%) and cognitive function influences physical function more greatly than does sensory function. Additionally, in the young-old groups, vision among sensory functions, attention among cognitive functions, and IADL among physical functions, turned out to be the most influential. However, in the old-old groups, auditory function among sensory functions, orientation among cognitive functions, and IADL among physical functions, turned out to be the most influential. Conclusions: This study implies that functions in the young-old and old-old individuals must be considered with all three functions-sensory, cognitive, and physical-together at the same time and that this comprehensive approach is necessary in national policy making.

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Predictors of Cognitive Function Decline of Elderly : Using Living Conditions and Welfare Needs of Older Korean Persons Panel Data

Cited by 8 publications

References 11 publications

Factors affecting cognitive function according to gender in community-dwelling elderly individuals

Factors affecting cognitive function according to gender in community-dwelling elderly individuals

Influencing Factors of Subjective Cognitive Impairment in Middle-Aged and Older Adults

Relationships between the sensory, cognitive and physical functions of young-old and old-old individuals

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