Correlations between nutritional indicators and cognitive function in patients with stable schizophrenia in a hospital setting.

IF 2.9 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES PLoS ONE Pub Date : 2024-11-04 eCollection Date: 2024-01-01 DOI:10.1371/journal.pone.0312227
Binyou Wang, Yong Zhou, Han Yu, Techeng Jiang, Kezhi Liu, Jianlin Pu, Yilin Wang
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Abstract

Background and objectives: Cognitive impairment is a core feature of schizophrenia, and it is now clear that there is a link between nutritional indicators and cognitive functioning. This study aimed to investigate correlations between three nutritional indicators (prognostic nutritional index [PNI], geriatric nutritional risk index [GNRI], and controlling nutritional status score [CONUT]) and cognitive function in hospitalized patients with stable schizophrenia.

Methods: A total of 235 patients who were hospitalized with stable schizophrenia were included. Patient demographic information was collected through self-reports or electronic medical records, and cognitive function was assessed using the Montreal Cognitive Assessment in China (MoCA-C). Information on serum albumin and total cholesterol levels, lymphocyte counts, and body mass index during the stable stage of schizophrenia was collected to calculate the PNI, GNRI, and CONUT scores, according to their respective calculation criteria. Covariate-adjusted linear regression model and ordered logistic regression model were constructed to determine the relationship between nutritional indicators and cognitive function.

Results: Overall, 90.2% of the patients were under the age of 60 years, and males comprised 60% of all patients. The median scores for MoCA-C, PNI, GNRI, and CONUT in hospitalized patients with stable schizophrenia were 18 (12,23), 52.85 (50.25,55.90), 110.85 (105.80,116.21), and 3 (3,3), respectively. The results of the correlation analysis showed that only PNI was associated with MoCA-C scores (r = 0.15, P = 0.021). This relationship was further confirmed by covariate-adjusted linear regression modeling (β = 0.147, 95%CI:0.049-0.351, p = 0.01) and ordered logistic regression modeling (OR = 0.054, 95%CI:0.001-0.106, p = 0.046).

Conclusions: The findings revealed a significant correlation between PNI scores and MoCA-C scores in hospitalized patients with stable schizophrenia.

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医院环境中稳定型精神分裂症患者的营养指标与认知功能之间的相关性。
背景和目的:认知障碍是精神分裂症的一个核心特征,目前已明确营养指标与认知功能之间存在联系。本研究旨在探讨三种营养指标(预后营养指数[PNI]、老年营养风险指数[GNRI]和控制营养状况评分[CONUT])与住院稳定型精神分裂症患者认知功能之间的相关性:方法:共纳入 235 名住院的稳定期精神分裂症患者。通过自我报告或电子病历收集患者的人口统计学信息,并使用蒙特利尔认知功能评估(MoCA-C)对患者的认知功能进行评估。收集精神分裂症稳定期的血清白蛋白和总胆固醇水平、淋巴细胞计数和体重指数等信息,并根据其各自的计算标准计算 PNI、GNRI 和 CONUT 分数。建立了协变量调整线性回归模型和有序逻辑回归模型,以确定营养指标与认知功能之间的关系:总体而言,90.2%的患者年龄在 60 岁以下,男性占所有患者的 60%。住院稳定期精神分裂症患者的 MoCA-C、PNI、GNRI 和 CONUT 的中位数分别为 18(12,23)、52.85(50.25,55.90)、110.85(105.80,116.21)和 3(3,3)。相关性分析结果显示,只有 PNI 与 MoCA-C 评分相关(r = 0.15,P = 0.021)。协变量调整线性回归模型(β = 0.147,95%CI:0.049-0.351,P = 0.01)和有序逻辑回归模型(OR = 0.054,95%CI:0.001-0.106,P = 0.046)进一步证实了这种关系:研究结果表明,在住院的稳定期精神分裂症患者中,PNI评分与MoCA-C评分之间存在明显的相关性。
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来源期刊
PLoS ONE
PLoS ONE 生物-生物学
CiteScore
6.20
自引率
5.40%
发文量
14242
审稿时长
3.7 months
期刊介绍: PLOS ONE is an international, peer-reviewed, open-access, online publication. PLOS ONE welcomes reports on primary research from any scientific discipline. It provides: * Open-access—freely accessible online, authors retain copyright * Fast publication times * Peer review by expert, practicing researchers * Post-publication tools to indicate quality and impact * Community-based dialogue on articles * Worldwide media coverage
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