Associations of dietary and lifestyle inflammation scores with sleep quality and mental health in hemodialysis patients: a multicenter cross-sectional study.

IF 4.1 2区医学 Q2 NUTRITION & DIETETICS

Nutrition & Metabolism Pub Date : 2025-07-01 DOI:10.1186/s12986-025-00958-5

Mohadeseh Soleimani Damaneh, Hossein Bavi Behbahani, Meysam Alipour, Ahmad Zare Javid, Sara Keramatzadeh, Shiva Shokri, Pardis Tofighzadeh, Fatemeh Fayazfar, Haleh Soltaniyan Dehkordi, Elahe Ghadimi, Siavash Babajafari Esfandabad, Shokouh Shayanpour

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引用次数: 0

Abstract

Background: Poor sleep quality and mental disorders are common issues among patients undergoing dialysis. Diet and lifestyle may be associated with sleep quality and mental health. The current study aimed to evaluate the associations between the Dietary and Lifestyle Inflammation Scale (DLIS) score and mental health and sleep quality among Iranian hemodialysis patients.

Methods: This multicenter cross-sectional study was conducted on 423 patients undergoing hemodialysis at eight centers in three cities. The DLIS was calculated using information from a validated 168-item semiquantitative food frequency questionnaire. Mental health was evaluated via the 21-item Depression, Anxiety, and Stress Scale (DASS-21), and the Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. Other assessments included physical activity levels, biochemical parameters, and patient dialysis data. Statistical analyses via SPSS software were conducted to identify associations.

Results: The mean ± standard deviation of age and body mass index (BMI) were 52.84 ± 14.63 years and 24.8 ± 5.11 kg/m², respectively. A total of 58.9% of the participants were men. After controlling for potential confounders, participants in the top quartile of DLIS had greater odds of having poor sleep quality (OR: 3.18; 95% CI: 1.71-5.90), depression (OR: 1.94; 95% CI: 1.06-3.54), anxiety (OR: 2.82; 95% CI: 1.51-5.27), and stress (OR: 2.15; 95% CI: 1.14-4.03) than did those in the bottom quartile.

Conclusion: Our findings revealed that increased dietary and lifestyle inflammatory potential, characterized by increased DLIS, was positively associated with increased risks of depression, anxiety, stress and poor sleep quality.

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血液透析患者饮食和生活方式炎症评分与睡眠质量和心理健康的关系：一项多中心横断面研究

背景：睡眠质量差和精神障碍是透析患者的常见问题。饮食和生活方式可能与睡眠质量和心理健康有关。本研究旨在评估伊朗血液透析患者饮食和生活方式炎症量表（DLIS）评分与心理健康和睡眠质量之间的关系。方法：对3个城市8个血液透析中心的423例血液透析患者进行多中心横断面研究。DLIS是使用经过验证的168项半定量食物频率问卷的信息来计算的。通过21项抑郁、焦虑和压力量表（DASS-21）评估心理健康状况，并使用匹兹堡睡眠质量指数（PSQI）评估睡眠质量。其他评估包括身体活动水平、生化参数和患者透析数据。通过SPSS软件进行统计分析以确定相关性。结果：年龄和体重指数（BMI）的平均值±标准差分别为52.84±14.63岁和24.8±5.11 kg/m2。总共58.9%的参与者是男性。在控制了潜在的混杂因素后，DLIS排名前四分之一的参与者睡眠质量差的几率更大(OR: 3.18；95% CI: 1.71-5.90)，抑郁(OR: 1.94；95% CI: 1.06-3.54)，焦虑(OR: 2.82；95% CI: 1.51-5.27)和应激(OR: 2.15；95% CI: 1.14-4.03)比底部四分位数的人更明显。结论：我们的研究结果表明，以DLIS增加为特征的饮食和生活方式的炎症潜力增加与抑郁、焦虑、压力和睡眠质量差的风险增加呈正相关。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nutrition & Metabolism 医学-营养学

CiteScore

8.40

自引率

0.00%

发文量

审稿时长

4-8 weeks

期刊介绍： Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.