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Background: Screening cognitive impairment is complex and not an appliance for early screening. Gait performance is strongly associated with cognitive impairment. Objectives: We aimed to explore gait indicators that could potentially screen cognitive dysfunction. Methods: A total of 235 subjects were recruited from June 2021 to June 2022. Four gait tasks, including the walking test, the timed "Up & Go" test (TUG), foot pressure balance (FPB), and one-legged standing with eyes closed test (OLS-EC), were performed. Moreover, in the walking test, participants were instructed to walk at their usual pace for the single-gait test. For the dual-task tests, participants walked at their usual pace while counting backward from 100 by 1s. The data were analyzed by the independent sample t-test, univariate and multivariate logistic regression, a linear trend, stratified and interaction analysis, the receiver operating characteristic (ROC) curve, and Pearson's correlations. Results: Among the 235 participants, 81 (34.5%) were men and 154 (65.5%) were women. The mean age of participants was 72 ± 7.836 years. The control, MCI, mild AD, and severe AD groups had means of 71, 63, 71, and 30, respectively. After adjusting for age, sex, education, and body mass index (BMI), the dual-task toe-off-ground angle (TOA) (odds ratio (OR) = 0.911, 95% confidence interval (CI): 0.847, 0.979), single-task TOA (OR = 0.904, 95% CI: 0.841–0.971), and the timed "Up & Go" time (TUGT) (OR = 1.515, 95% CI: 1.243–1.846) were significantly associated with an increased risk of cognitive impairment. In addition, the trend test and stratified analysis results had no significant differences (all p > 0.05). The area under the roc curve (AUC) values of TOA in the dual-task and TUGT were 0.812 and 0.847, respectively. Additionally, TOA < 36.75° in the dual-task, TOA < 38.90° in the single-task, and TUGT > 9.83 seconds (s) are likely to indicate cognitive impairment. The cognitive assessment scale scores were significantly correlated with TOA (all r > 0.3, p < 0.001) and TUGT (all r > 0.2), respectively. Conclusion: TOA and TUGT scores are, in some circumstances, associated with cognitive impairment; therefore, they can be used as simple initial screenings to identify patients at risk. [ABSTRACT FROM AUTHOR]

Background: The follow-up study on neuropsychiatric changes after the lifting of coronavirus disease 2019 (COVID-19) quarantine in patients with cognitive impairment and their caregivers is still lacking, and relative information is needed to formulate more comprehensive healthcare prevention measures worldwide. Aims: To provide data on the changes in neuropsychiatric performance after the lifting of COVID-19 quarantine in patients with cognitive disorders and their caregivers. Methods: Two surveys in Chongqing, China were conducted via telephonic interview with 531 patients and their caregivers. The baseline survey was performed from February 11 to 23, 2020, and the follow-up was from October 24 to November 9, 2020. The data of neuropsychiatric symptoms (NPSs), sleep, nutrition, and chronic diseases of patients, as well as the burden of care, anxiety, and depression of caregivers were evaluated. Results: Significant alleviation of NPSs after the lifting of COVID-19 quarantine was observed in patients with mild cognitive impairment (MCI) and dementia (both P < 0.05). Compared with baseline, the prevalence for NPSs of all participants dropped from 57.94 to 38.82%. Among NPS subdomains, apathy displayed the biggest decline at follow-up by 10.72%, followed by nighttime behavior by 8.65%. Mixed effect generalized estimation equation analysis showed significant amelioration in hallucination, depression, apathy, irritability, aberrant motor behavior, and nighttime behavior (all P < 0.05), with the most prominent changes in nighttime behavior and apathy. Among the patients with unsatisfactory control of chronic disease, the medication adherence rate dropped by approximately 30% after the lifting of quarantine. More importantly, around 13% increase of care burden was observed among the caregivers at follow-up, with both depression and anxiety rising by nearly 4%. Conclusion: The prolonged quarantine may exacerbate NPS in patients with memory disorders, while the care burden and mental stability of the caregivers after the pandemic should also be concerned. [ABSTRACT FROM AUTHOR]

Aim: This study aimed to elucidate whether malnutrition is associated with cognitive impairment in an older Chinese population. Methods: A cross‐sectional study was conducted in 2365 participants aged 60 years or older from January 2013 to September 2019. Nutritional status was measured by using the Mini Nutritional Assessment Short Form (MNA‐SF). Cognitive function was assessed with the Mini‐Mental State Examination (MMSE). The relationship between malnutrition or each Mini Nutritional Assessment Short Form domain and cognitive impairment was examined with univariate and multivariate logistic regression analysis. Results: The prevalence of malnutrition, risk of malnutrition, and cognitive impairment was 5.54%, 33.45%, and 36.74%, respectively. The prevalence was higher in those 80 years and older: 7.88%, 40.75%, and 53.65%, respectively. The Mini‐Mental State Examination score was positively correlated with the Mini Nutritional Assessment Short Form score (r = 0.364, P < 0.001). After adjustment for age, gender, education, marital status, and living alone, malnutrition (odds ratio (OR) = 3.927, 95% confidence interval (CI): 2.650–5.819), anorexia (OR = 1.454, 95%CI: 1.192–1.774), weight loss (OR = 1.697, 95%CI: 1.406–2.047), impaired mobility (OR = 4.156, 95%CI: 3.311–5.218), and psychological stress (OR = 1.414, 95%CI: 1.070–1.869) were significantly associated with an increased risk of cognitive impairment. Conclusions: Our results suggest that the prevalence of malnutrition and cognitive impairment is relatively high and increases with age. Malnutrition, anorexia, weight loss, impaired mobility, and psychological stress are significantly associated with an increased risk of cognitive impairment. Therefore, clinicians should assess the nutritional and cognitive status of the elderly regularly to improve early detection and timely intervention. [ABSTRACT FROM AUTHOR]