The relationship between multimorbidity and cognitive function in older Chinese adults: based on propensity score matching

ObjectiveThe goal of this study was to further validate the effect of multimorbidity on cognitive performance in older adults after controlling for confounders using propensity score matching (PSM).MethodsA cross-sectional survey of older adult people aged 60 years or older selected by convenience s...

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Egile Nagusiak: Yumeng Zhang (Egilea), Xiaoli Yuan (Egilea), Zhixia Jiang (Egilea), Rujun Hu (Egilea), Heting Liang (Egilea), Qingyun Mao (Egilea), Yan Xiong (Egilea), Jiabi Zhang (Egilea), Mi Liu (Egilea)
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Argitaratua: Frontiers Media S.A., 2024-09-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Yumeng Zhang  |e author 
700 1 0 |a Yumeng Zhang  |e author 
700 1 0 |a Xiaoli Yuan  |e author 
700 1 0 |a Zhixia Jiang  |e author 
700 1 0 |a Rujun Hu  |e author 
700 1 0 |a Heting Liang  |e author 
700 1 0 |a Qingyun Mao  |e author 
700 1 0 |a Yan Xiong  |e author 
700 1 0 |a Jiabi Zhang  |e author 
700 1 0 |a Mi Liu  |e author 
245 0 0 |a The relationship between multimorbidity and cognitive function in older Chinese adults: based on propensity score matching 
260 |b Frontiers Media S.A.,   |c 2024-09-01T00:00:00Z. 
500 |a 2296-2565 
500 |a 10.3389/fpubh.2024.1422000 
520 |a ObjectiveThe goal of this study was to further validate the effect of multimorbidity on cognitive performance in older adults after controlling for confounders using propensity score matching (PSM).MethodsA cross-sectional survey of older adult people aged 60 years or older selected by convenience sampling was conducted in seven medical institutions, three communities, and five nursing homes in Zunyi City, Guizhou Province. The data collected included general information, health-related information, and Mini-Mental State Examination (MMSE) scores. Variables were controlled for confounders by PSM to analyze differences in cognitive ability between multimorbidity and nonmultimorbidity older adults. Logistic regression and multivariate-adjusted restricted cubic spline (RCS) curves for matched samples were used to assess the relationship between multimorbidity and cognitive decline.ResultsA total of 14,175 respondents were enrolled, and the mean age of the participants included in this study was 71.26 ± 7.1 years, including 7,170 (50. 58%) of the participants were males, 7,005 (49.42%) were females, and 5,482 participants (38.67%) were screened for cognitive decline. After PSM, logistic regression analysis revealed that multimorbidity was a risk factor for cognitive decline (OR = 1.392, 95% CI = 1.271-1.525, p < 0.001). The RCS show that the risk of cognitive decline is always greater in older adults with multimorbidity than in older adults without multimorbidity at the same age. Age, sex, marital status, educational level, monthly income, drinking status, participation in social activities, and exercise were influential factors for cognitive decline in older adults (p < 0.05). The incidence of cognitive decline in older adults with multimorbidity was also greater than that in older adults with one chronic disease (p < 0.001).ConclusionThe risk of cognitive decline in older adults with multimorbidity is greater than that in older adults without multimorbidity; therefore, the government should strengthen the prevention and treatment of multimorbidity in older adults to further protect their cognitive abilities. 
546 |a EN 
690 |a cognitive 
690 |a multimorbidity 
690 |a older adults 
690 |a cognitive decline 
690 |a propensity score matching 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Frontiers in Public Health, Vol 12 (2024) 
787 0 |n https://www.frontiersin.org/articles/10.3389/fpubh.2024.1422000/full 
787 0 |n https://doaj.org/toc/2296-2565 
856 4 1 |u https://doaj.org/article/edebcba9ba4d4119b7267e5be1d49fd5  |z Connect to this object online.