Enhancing Nutritional Status and Quality of Life in Hemodialysis Patients: The Impact of Internet-Based Cognitive Behavioral Therapy

IF 0.4 4区 医学 Q4 NUTRITION & DIETETICS Current Topics in Nutraceutical Research Pub Date : 2024-02-10 DOI:10.37290/ctnr2641-452x.22:538-543
Lu Wang, Hu Yi
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Abstract

This study examined the effects of internet-based cognitive behavioral therapy on the nutritional status and scores from the Knowledge, Attitude, and Practice questionnaire in maintenance hemodialysis patients. Patients in the traditional therapy group received standard health education, whereas those in the experimental group participated in three months of this therapy. Clinical and nutritional indicators, including blood biomarkers and Knowledge, Attitude, and Practice questionnaire scores, were recorded for both groups before and after the treatment. Post-treatment, the group receiving internet-based cognitive behavioral therapy exhibited higher blood calcium levels, increased upper arm circumference, and reduced levels of potassium and phosphorus. They also showed comparatively lower scores in Nutritional Risk Screening 2000 and Malnutrition Inflammation, along with higher Visual Analog Scale scores (P < 0.05). The internet-based cognitive behavioral therapy group exhibited higher albumin and prealbumin levels, reduced transferrin, total cholesterol, creatinine, and urea levels, and modified quantitative subjective global assessment scores than the traditional therapy group (P < 0.05). They also scored higher on the Knowledge, Attitude, and Practice questionnaire (P < 0.05). These results indicate that internetbased cognitive behavioral therapy can improve the nutritional status, Knowledge, Attitude, and Practice questionnaire scores, and overall quality of life in maintenance hemodialysis patients, highlighting its potential benefit in patient outcomes.
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改善血液透析患者的营养状况和生活质量:基于互联网的认知行为疗法的影响
本研究探讨了基于互联网的认知行为疗法对维持性血液透析患者的营养状况以及知识、态度和实践问卷得分的影响。传统疗法组的患者接受了标准的健康教育,而实验组的患者则参加了为期三个月的该疗法。治疗前后记录了两组患者的临床和营养指标,包括血液生物标志物和知识、态度与实践问卷得分。治疗后,接受基于互联网的认知行为疗法组的血钙水平升高,上臂围增加,钾和磷水平降低。此外,他们在营养风险筛查 2000 和营养不良性炎症方面的得分也相对较低,视觉模拟量表得分更高(P < 0.05)。与传统疗法组相比,基于互联网的认知行为疗法组的白蛋白和前白蛋白水平更高,转铁蛋白、总胆固醇、肌酐和尿素水平降低,定量主观总体评估得分也有所改善(P < 0.05)。他们在知识、态度和实践问卷中的得分也更高(P < 0.05)。这些结果表明,基于互联网的认知行为疗法可以改善维持性血液透析患者的营养状况、知识、态度和实践问卷得分以及整体生活质量,突出了其对患者预后的潜在益处。
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来源期刊
CiteScore
1.10
自引率
0.00%
发文量
36
审稿时长
>12 weeks
期刊介绍: Current Topics in Nutraceutical Research is an international, interdisciplinary broad-based peer reviewed scientific journal for critical evaluation of research on chemistry, biology and therapeutic applications of nutraceuticals and functional foods. The major goal of this journal is to provide peer reviewed unbiased scientific data to the decision makers in the nutraceutical and food industry to help make informed choices about development of new products. To this end, the journal will publish two types of review articles. First, a review of preclinical research data coming largely from animal, cell culture and other experimental models. Such data will provide basis for future product development and/or human research initiatives. Second, a critical evaluation of current human experimental data to help market and deliver the product for medically proven use. This journal will also serve as a forum for nutritionists, internists, neurologists, psychiatrists, and all those interested in preventive medicine. The common denominator of all of the topic to be covered by the journal must include nutraceuticals and/functional food. The following is an example of some specific areas that may be of interest to the journal. i) Role of vitamins, minerals, antioxidants and phytonutrients on cardiovascular health, cancer, diabetes, ocular health, mental health, men’s health, women’s health, infant nutrition, ii) Role of herbals on human health, iii) Dietary supplements and sleep, iv) Components of diet that may have beneficial effect on human health, v) regulation of apoptosis and cell viability, vi) Isolation and characterization of bioactive components from functional foods, vii) Nutritional genomics, and viii) Nutritional proteomics.
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