TY - JOUR
T1 - The importance of stroke as a risk factor of cognitive decline in community dwelling older and oldest peoples
T2 - The SONIC study
AU - Srithumsuk, Werayuth
AU - Kabayama, Mai
AU - Gondo, Yasuyuki
AU - Masui, Yukie
AU - Akagi, Yuya
AU - Klinpudtan, Nonglak
AU - Kiyoshige, Eri
AU - Godai, Kayo
AU - Sugimoto, Ken
AU - Akasaka, Hiroshi
AU - Takami, Yoichi
AU - Takeya, Yasushi
AU - Yamamoto, Koichi
AU - Ikebe, Kazunori
AU - Ogawa, Madoka
AU - Inagaki, Hiroki
AU - Ishizaki, Tatsuro
AU - Arai, Yasumichi
AU - Rakugi, Hiromi
AU - Kamide, Kei
N1 - Funding Information:
This study was supported in part by grants-in-aid from the Ministry of Education, Culture, Sports, Science, and Technology of Japan (K.K.: 19 K07888, M.K.: 19 K11138).
Publisher Copyright:
© 2020 The Author(s).
PY - 2020/1/22
Y1 - 2020/1/22
N2 - Background: Cognitive impairment is a major health concern among older and oldest people. Moreover, stroke is a relevant contributor for cognitive decline and development of dementia. The study of cognitive decline focused on stroke as the important risk factor by recruiting older and oldest is still lagging behind. Therefore, the aim of this study was to investigate the importance of stroke as a risk factor of cognitive decline during 3 years in community dwelling older and oldest people. Methods: This study was longitudinal study with a 3-year follow-up in Japan. The participants were 1333 community dwelling older and oldest people (70 years old = 675, 80 years old = 589, and 90 years old = 69). Data collected included basic data (age, sex, and history of stroke), vascular risk factors (hypertension, diabetes mellitus, dyslipidemia, atrial fibrillation, and current smoking), and social factors (educational level, frequency of going outdoors, long-term care (LTC) service used, and residential area). The Japanese version of the Montreal Cognitive Assessment (MoCA-J) was decline of ≥2 points was defined as cognitive decline. Multiple logistic regression analysis was used to investigate the association between stroke and other risk factors with cognitive decline during a 3-year follow-up. Results: The fit of the hypothesized model by multiple logistic regression showed that a history of stroke, advanced age, and greater MoCA-J score at the baseline were important risk factors, while the presence of dyslipidemia and a higher educational level were protective factors that were significantly correlated with cognitive decline during the 3-year follow-up. Conclusions: The cognitive decline after the 3-year follow-up was influenced by the history of stroke and advanced age, while greater MoCA-J score at the baseline was positively associated with subsequent 3 years cognitive decline. The protective factors were the presence of dyslipidemia and a higher educational level. Therefore, these factors are considered important and should be taken into consideration when searching for creative solutions to prevent cognitive decline after stroke in community dwelling older and oldest people.
AB - Background: Cognitive impairment is a major health concern among older and oldest people. Moreover, stroke is a relevant contributor for cognitive decline and development of dementia. The study of cognitive decline focused on stroke as the important risk factor by recruiting older and oldest is still lagging behind. Therefore, the aim of this study was to investigate the importance of stroke as a risk factor of cognitive decline during 3 years in community dwelling older and oldest people. Methods: This study was longitudinal study with a 3-year follow-up in Japan. The participants were 1333 community dwelling older and oldest people (70 years old = 675, 80 years old = 589, and 90 years old = 69). Data collected included basic data (age, sex, and history of stroke), vascular risk factors (hypertension, diabetes mellitus, dyslipidemia, atrial fibrillation, and current smoking), and social factors (educational level, frequency of going outdoors, long-term care (LTC) service used, and residential area). The Japanese version of the Montreal Cognitive Assessment (MoCA-J) was decline of ≥2 points was defined as cognitive decline. Multiple logistic regression analysis was used to investigate the association between stroke and other risk factors with cognitive decline during a 3-year follow-up. Results: The fit of the hypothesized model by multiple logistic regression showed that a history of stroke, advanced age, and greater MoCA-J score at the baseline were important risk factors, while the presence of dyslipidemia and a higher educational level were protective factors that were significantly correlated with cognitive decline during the 3-year follow-up. Conclusions: The cognitive decline after the 3-year follow-up was influenced by the history of stroke and advanced age, while greater MoCA-J score at the baseline was positively associated with subsequent 3 years cognitive decline. The protective factors were the presence of dyslipidemia and a higher educational level. Therefore, these factors are considered important and should be taken into consideration when searching for creative solutions to prevent cognitive decline after stroke in community dwelling older and oldest people.
KW - Cognitive decline
KW - Older and oldest people
KW - Stroke
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U2 - 10.1186/s12877-020-1423-5
DO - 10.1186/s12877-020-1423-5
M3 - Article
C2 - 31969126
AN - SCOPUS:85078264450
SN - 1471-2318
VL - 20
JO - BMC Geriatrics
JF - BMC Geriatrics
IS - 1
M1 - 24
ER -
