Education Exerts Different Effects on Cognition in Individuals with Subjective Cognitive Decline and Cognitive Impairment: A Population-Based Study

Chen, Guanqun; Zhao, Mingyan; Yang, Kun; Hua, Lin; Han, Chong; Wang, Xiaoni; Han, Ying

doi:10.3233/jad-201170

Cited by 14 publications

(12 citation statements)

References 38 publications

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“…Besides, the higher the level of education, the higher the probability of normal cognitive function. A recent study found that higher educational attainment may delay cognitive decline (20), which was also supported by our study, High levels of education broaden the brain's information base, which in uences cognitive performance (21). Such observation suggests that more attention should be paid to the elderly depressed persons.…”

Section: Discussionsupporting

confidence: 87%

Association between daily activities and cognitive impairment among elderly adults with depression: A nomogram prediction model

Huang,

2023

Preprint

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Objective: We aim to use the Chinese Longitudinal Healthy Longevity Survey (CLHLS) to develop and validate a targeted model for predicting the risk of cognitive impairment in elderly adults with depression. Methods: 3658 and 1569 patients from CLHLS were enrolled in the training and validation cohort, respectively. Cognitive function was tested by the Chinese version of the Mini-Mental State Examination (MMSE). Forward stepwise multivariable logistic regression analysis was performed to identify independent risk factors for cognitive impairment in elderly adults with depression, and a visible nomogram was conducted. The evaluation of nomogram’s performance was measured by the area under curve (AUC), calibration curve and decision curve analysis (DCA). Results: In the final prediction model for cognitive impairment risk, seven essential factors were selected: age, education, frequency of reading newspaper, frequency of watching TV, ability to shop independently, ability to dress independently, and ability to cook. The model performed well, with AUCs of 0.857 and 0.831 in the training and validation cohorts, respectively. Based on the above-mentioned analytical results, a nomogram was created. The calibration curve indicated that the nomogram was well-calibrated. The DCA demonstrated the nomogram's clinical utility. Conclusion: A model for predicting the risk of cognitive impairment in elderly adults with depression was successfully developed.

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Section: Discussionsupporting

confidence: 87%

Association between daily activities and cognitive impairment among elderly adults with depression: A nomogram prediction model

Huang,

2023

Preprint

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“…Specifically, education level was not associated with latent class membership. Prior studies have reported that high educational attainment is closely related to cognitive decline in individuals with subjective cognitive decline 55 56. Based on the differences in our findings compared with prior studies, we posit that education level may not affect the distinct symptoms but may have an association with the prevalence of subjective cognitive decline.…”

Section: Discussioncontrasting

confidence: 72%

Symptom profiles and their influencing factors among people with subjective cognitive decline: a secondary analysis of cross-sectional data from the 2019 Korea Community Health Survey using latent class analysis

Seong,

Park

2023

BMJ Open

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ObjectiveSubjective cognitive decline, self-perceived cognitive deterioration without objective impairment, is becoming a vital health indicator, especially due to its intermediate stage between normal function and mild cognitive impairment. Cognitive decline often coexists with various symptoms that may interact with each other, serve as prognostic indicators and influence the progression of cognitive decline. This study aims to identify symptom clusters among individuals with subjective cognitive decline, using latent class analysis, and to identify factors affecting these symptom clusters, offering insights into understanding and potentially preventing cognitive decline progression.Design and settingA secondary data analysis of the nationally representative cross-sectional data obtained from the 2019 Korea Community Health Survey.OutcomesWe performed latent class analysis using six symptoms (pain, sleep deprivation, depression, fatigue, restlessness and apathy) to determine the distinct symptom clusters. After selecting the best latent class model, we identified factors influencing those symptom clusters using multinomial logistic regression analyses.ResultsWe found that a three-latent-class model best fitted the data: a low symptom-burden group (39.9%), a moderate symptom-burden group (44.8%) and a high symptom-burden group (15.3%). Male gender, higher age, higher perceived health status and lower perceived stress status, were strongly associated with lesser odds of being in the moderate (OR: 0.37 (95% CI: 0.33 to 0.41)) to OR: 2.20 (95% CI: 2.03 to 2.39)) and high symptom-burden groups (OR: 0.18 (95% CI: 0.15 to 0.21)) to OR: 8.53 (95% CI: 7.68 to 9.49)) as compared with being in the low symptom-burden group.ConclusionFindings may contribute to improving clinical practitioners’ understanding of the unique symptom patterns experienced by people with subjective cognitive decline and their influencing factors. Furthermore, we recommend that formal caregivers screen and manage prevalent symptoms considering the factors affecting the symptoms of people with subjective cognitive decline in clinical practice.

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“…People with low levels of education also demonstrated low cognitive scores. Given the effects of education on cognitive impairment [ 41 , 42 ], better cognitive function could be achieved through marked improvements in educational attainment.…”

Section: Discussionmentioning

confidence: 99%

Association between previous cataract surgery and cognition among middle-aged and older Chinese: the China health and retirement longitudinal study (CHARLS)

et al. 2023

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Background Cataract is the primary cause of blindness globally, and surgery offers the only method by which to remove cataracts. We aimed to examine whether previous cataract surgery is associated with cognitive function. Methods Our study included 13,824 participants. Data from the baseline of the China Health and Retirement Longitudinal Study (CHARLS) were used. The participants were categorized into two groups: with and without previous cataract surgery. Weighted multiple linear regression was used to obtain the β and 95% confidence intervals (CI). Results The participants who had previous cataract surgery (n = 261) scored lower in cognition, including both memory and mental state, than those without previous cataract surgery. After adjusting for socioeconomic factors and metabolic measures, a negative association was evident between previous cataract surgery and cognition (β = −0.647, 95% CI: −1.244, − 0.049). Furthermore, the participants who were older and female demonstrated a decline in cognition, while living in cities and having higher levels education were associated with higher cognition. Conclusions Better cognitive function was associated with less previous cataract surgery or cataract occurrence. This suggests that a period of vision loss due to cataract leads to cognitive decline, however further studies are need to dissect the impact of vision loss and cataract surgery on cognitive decline.

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Education Exerts Different Effects on Cognition in Individuals with Subjective Cognitive Decline and Cognitive Impairment: A Population-Based Study

Cited by 14 publications

References 38 publications

Association between daily activities and cognitive impairment among elderly adults with depression: A nomogram prediction model

Association between daily activities and cognitive impairment among elderly adults with depression: A nomogram prediction model

Symptom profiles and their influencing factors among people with subjective cognitive decline: a secondary analysis of cross-sectional data from the 2019 Korea Community Health Survey using latent class analysis

Association between previous cataract surgery and cognition among middle-aged and older Chinese: the China health and retirement longitudinal study (CHARLS)

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