Zhang Xuehe, Yang Long, Wang Zhong, Wang Hanxiao, Nie Shiyu, Zhao Chunxiu, Kang Shengnan, Zhang Chuan, Pan Chuanliang
Department of Intensive Care Unit, The Third People's Hospital of Chengdu, Chengdu, China.
Pediatric Cardiothoracic Surgery, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Front Nutr. 2025 Jul 3;12:1571990. doi: 10.3389/fnut.2025.1571990. eCollection 2025.
The Controlling Nutritional Status (CONUT) score is used to assess nutritional status. Given that malnutrition increases the risk of cognitive impairment, this study aimed to clarify the relationship between the CONUT score and cognitive impairment in older adults.
Older adults aged 60-80 years in the National Health and Nutrition Examination Survey (NHANES) cycles were included in this study. Cognitive impairment was identified according to three different cognitive assessment methods. The degree of malnutrition was assessed by calculating the CONUT score and categorized into normal nutrition (CONUT 0-1) and malnutrition (CONUT 2-12) groups based on the score. Independent associations between the CONUT score and cognitive impairment were examined using logistic regression, while non-linear associations between the CONUT score and cognitive impairment were investigated using restricted cubic splines (RCS).
The mean participant age was 69.19 years, and approximately 1478 participants (53.6%) had cognitive impairment. According to the CONUT score, the incidence of cognitive impairment was significantly greater in the malnutrition group. According to the adjusted logistic regression analysis, the CONUT score was associated with cognitive impairment (OR: 1.133, 95% CI: 1.052, 1.221; = 0.002). Cognitive impairment was also associated with the malnutrition group (OR: 1.259, 95% CI: 1.039, 1.524; = 0.021). RCS analysis revealed L-shaped associations between the CONUT score and cognitive impairment (non-linear < 0.001).
Elevated CONUT scores are associated with an increased prevalence of cognitive impairment in older adults, potentially aiding in identifying individuals at risk of cognitive decline.
控制营养状况(CONUT)评分用于评估营养状况。鉴于营养不良会增加认知障碍的风险,本研究旨在阐明老年人CONUT评分与认知障碍之间的关系。
本研究纳入了国家健康与营养检查调查(NHANES)各周期中60 - 80岁的老年人。根据三种不同的认知评估方法确定认知障碍。通过计算CONUT评分评估营养不良程度,并根据评分分为正常营养(CONUT 0 - 1)和营养不良(CONUT 2 - 12)组。使用逻辑回归检验CONUT评分与认知障碍之间的独立关联,同时使用受限立方样条(RCS)研究CONUT评分与认知障碍之间的非线性关联。
参与者的平均年龄为69.19岁,约1478名参与者(53.6%)有认知障碍。根据CONUT评分,营养不良组认知障碍的发生率显著更高。根据调整后的逻辑回归分析,CONUT评分与认知障碍相关(OR:1.133,95%CI:1.052,1.221;P = 0.002)。认知障碍也与营养不良组相关(OR:1.259,95%CI:1.039,1.524;P = 0.021)。RCS分析显示CONUT评分与认知障碍之间呈L形关联(非线性P < 0.001)。
CONUT评分升高与老年人认知障碍患病率增加相关,可能有助于识别有认知能力下降风险的个体。