Literature DB >> 33207393

Associations between malnutrition and cognitive impairment in an elderly Chinese population: an analysis based on a 7-year database.

Wuhan Yu1, Weihua Yu2, Xintong Liu1, Tianchi Wan1, Chenxi Chen1, Lei Xiong1, Wenbo Zhang2, Yang Lü1.   

Abstract

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.
© 2020 Japanese Psychogeriatric Society.

Entities:  

Keywords:  cognitive impairment; malnutrition; older adults; prevention; risk factors

Mesh:

Year:  2020        PMID: 33207393     DOI: 10.1111/psyg.12631

Source DB:  PubMed          Journal:  Psychogeriatrics        ISSN: 1346-3500            Impact factor:   2.440


  3 in total

Review 1.  Progress towards the 2030 sustainable development goals: direct and indirect impacts on neurological disorders.

Authors:  Farrah J Mateen
Journal:  J Neurol       Date:  2022-05-18       Impact factor: 6.682

2.  Analysis of the Relationship among Cognitive Impairment, Nutritional Indexes and the Clinical Course among COVID-19 Patients Discharged from Hospital-Preliminary Report.

Authors:  Jakub Klimkiewicz; Daniel Pankowski; Kinga Wytrychiewicz-Pankowska; Anna Klimkiewicz; Paulina Siwik; Joanna Klimczuk; Arkadiusz Lubas
Journal:  Nutrients       Date:  2022-04-11       Impact factor: 6.706

3.  Comprehensive Geriatric Assessment: Application and correlations in a real-life cross-sectional study.

Authors:  Francesco Salis; Simona Loddo; Francesca Zanda; Maria Monica Peralta; Luca Serchisu; Antonella Mandas
Journal:  Front Med (Lausanne)       Date:  2022-09-13
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.