Volume 22 Issue 1
Jan.  2024
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LI Haijing, ZHU Feng, LIU Huijuan, GUAN Rui. Predictive value of a simple model based on nutritional status indicators for cognitive impairment in elderly people undergoing physical examination in Beijing area[J]. Chinese Journal of General Practice, 2024, 22(1): 1-4. doi: 10.16766/j.cnki.issn.1674-4152.003317
Citation: LI Haijing, ZHU Feng, LIU Huijuan, GUAN Rui. Predictive value of a simple model based on nutritional status indicators for cognitive impairment in elderly people undergoing physical examination in Beijing area[J]. Chinese Journal of General Practice, 2024, 22(1): 1-4. doi: 10.16766/j.cnki.issn.1674-4152.003317
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Predictive value of a simple model based on nutritional status indicators for cognitive impairment in elderly people undergoing physical examination in Beijing area

doi: 10.16766/j.cnki.issn.1674-4152.003317

  • Model Worker Health Management Center, Beijing Rehabilitation Hospital Affiliated to Capital Medical University, Beijing 100144, China

Funds:

 2022-4-9085

  • Received Date: 2023-11-01
    Available Online: 2024-03-09
    Abstract
  •   Objective  The relationship between nutritional status and cognitive function is a research focus. This study established a simple model based on nutritional status indicators and analyzed the predictive value of cognitive function impairment in elderly people in Beijing.  Methods  From February 2022 to April 2023, 670 elderly physical examination subjects in the Health Management Center of Model Workers, Beijing Rehabilitation Hospital Affiliated to Capital Medical University were selected and divided into cognitive impairment (CI) group (MoCA < 26) and no cognitive impairment (n-CI) group by using the Montreal cognitive assessment (MoCA). The two groups were compared with the general data, the miniature nutrition assessment scale (MNA) and serum albumin (ALB) indexes, and the relationship between the nutritional status indexes and CI occurrence was analyzed.  Results  The incidence of CI in 670 subjects was 9.10% (61/670) and MoCA score was (22.78±3.15) points. Education level, MNA score [(18.47±3.57) points vs. (23.92±3.95) points] and serum ALB [(30.25±3.86) g/L vs. (38.70±4.26) g/L] in CI group were lower than those in n-CI group (P < 0.05). With the decrease of MNA score and serum ALB level, the incidence of CI was significantly increased (P < 0.05). MoCA score was significantly positively correlated with MNA score and serum ALB (P < 0.05). Lower MNA score and serum ALB were independent risk factors for CI in the elderly population (P < 0.05). The AUC of the simple model based on MNA score and serum ALB was 0.891, which was higher than that predicted by alone (P < 0.05).  Conclusion  Nutritional status is closely related to CI in the elderly. The simple model built based on MNA score and serum ALB has significant value in predicting CI occurrence in the elderly population in Beijing area.

     

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