Validation of Scoring Tool for the Lipid Profile Interpretation in Exercise Training: SLIEX.

IF 1.5 Q4 MEDICINE, RESEARCH & EXPERIMENTAL

Malaysian Journal of Medical Sciences Pub Date : 2025-04-01 Epub Date: 2025-04-30 DOI:10.21315/mjms-11-2024-889

Hashbullah Ismail, Wahidah Tumijan, Mazlifah Omar, Sazzli Shahlan Kasim, Shamshuritawati Sharif, Noor Fatihah Ilias

{"title":"Validation of Scoring Tool for the Lipid Profile Interpretation in Exercise Training: SLIEX.","authors":"Hashbullah Ismail, Wahidah Tumijan, Mazlifah Omar, Sazzli Shahlan Kasim, Shamshuritawati Sharif, Noor Fatihah Ilias","doi":"10.21315/mjms-11-2024-889","DOIUrl":null,"url":null,"abstract":"Background: Interpreting the effects of exercise is complicated because lipid profiles contain four different markers. Thus, scoring tools are required to aid interpretation of the effects of exercise on lipid profiles. A Scoring tool for Lipid profile Interpretation in EXercise (SLIEX) was designed specifically for use by health professionals to interpret effects of exercise intervention on lipid profiles.Methods: The tool consisted of 18 scores (4 scores for changes pre- and post-intervention, and 14 scores for weightage of changes). This score provides the proportion of improvement in the lipid profile following exercise intervention. Kappa statistics (κ) were used to measure interobserver agreement, and the interclass correlation coefficient (ICC) was used to check the reliability of the scoring tool. One-way ANOVA was used to identify systematic differences between observers using the Statistical Package for the Social Sciences (SPSS) version 28 with statistical significance set at P < 0.05.Results: The summated SLIEX scores for each observer showed no systematic differences [F (2, 69) = 0.09, P = 0.991]. The summated SLIEX scores of the three observers showed significant association and excellent agreement as follows: Observers 1 and 2: ICC = 0.950, 95% confidence interval (CI), 0.889-0.978, P < 0.001; Observers 2 and 3: ICC = 0.993, 95% CI, 0.983-0.997, P = 0.000; Observers 1 and 3: ICC = 0.972, 95% CI, 0.937-0.988, P < 0.01.Conclusion: The SLIEX score is a new and reliable tool designed for health professionals to interpret the effect of exercise intervention on lipid profiles.","PeriodicalId":47388,"journal":{"name":"Malaysian Journal of Medical Sciences","volume":"32 2","pages":"64-76"},"PeriodicalIF":1.5000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12513524/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Malaysian Journal of Medical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21315/mjms-11-2024-889","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/30 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}

引用次数: 0

Abstract

Background: Interpreting the effects of exercise is complicated because lipid profiles contain four different markers. Thus, scoring tools are required to aid interpretation of the effects of exercise on lipid profiles. A Scoring tool for Lipid profile Interpretation in EXercise (SLIEX) was designed specifically for use by health professionals to interpret effects of exercise intervention on lipid profiles.

Methods: The tool consisted of 18 scores (4 scores for changes pre- and post-intervention, and 14 scores for weightage of changes). This score provides the proportion of improvement in the lipid profile following exercise intervention. Kappa statistics (κ) were used to measure interobserver agreement, and the interclass correlation coefficient (ICC) was used to check the reliability of the scoring tool. One-way ANOVA was used to identify systematic differences between observers using the Statistical Package for the Social Sciences (SPSS) version 28 with statistical significance set at P < 0.05.

Results: The summated SLIEX scores for each observer showed no systematic differences [F (2, 69) = 0.09, P = 0.991]. The summated SLIEX scores of the three observers showed significant association and excellent agreement as follows: Observers 1 and 2: ICC = 0.950, 95% confidence interval (CI), 0.889-0.978, P < 0.001; Observers 2 and 3: ICC = 0.993, 95% CI, 0.983-0.997, P = 0.000; Observers 1 and 3: ICC = 0.972, 95% CI, 0.937-0.988, P < 0.01.

Conclusion: The SLIEX score is a new and reliable tool designed for health professionals to interpret the effect of exercise intervention on lipid profiles.

查看原文本刊更多论文

运动训练中脂质谱解释评分工具的验证：SLIEX。

背景：解释运动的影响是复杂的，因为脂质谱包含四种不同的标记。因此，需要评分工具来帮助解释运动对脂质谱的影响。运动中脂质分析评分工具（SLIEX）是专门为卫生专业人员设计的，用于解释运动干预对脂质分析的影响。方法：该工具包括18分（干预前后变化4分，变化权重14分）。这个分数提供了运动干预后血脂改善的比例。采用Kappa统计量（κ）来衡量观察者间的一致性，采用类间相关系数（ICC）来检验评分工具的可靠性。使用社会科学统计软件包（SPSS）第28版，采用单因素方差分析来确定观察者之间的系统差异，统计显著性设置为P < 0.05。结果：各观察者SLIEX总分无系统差异[F (2,69) = 0.09, P = 0.991]。三个观察者的SLIEX总分显示显著相关性和极好的一致性如下：观察者1和2:ICC = 0.950, 95%可信区间（CI）， 0.889-0.978, P < 0.001；观察者2和3:ICC = 0.993, 95% CI, 0.983-0.997, P = 0.000；观察者1和观察者3:ICC = 0.972, 95% CI, 0.937 ~ 0.988, P < 0.01。结论：SLIEX评分是一种新的、可靠的工具，旨在为卫生专业人员解释运动干预对血脂的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Malaysian Journal of Medical Sciences MEDICINE, RESEARCH & EXPERIMENTAL-

CiteScore

2.70

自引率

0.00%

发文量

审稿时长

9 weeks

期刊介绍： The Malaysian Journal of Medical Sciences (MJMS) is a peer-reviewed, open-access, fully online journal that is published at least six times a year. The journal’s scope encompasses all aspects of medical sciences including biomedical, allied health, clinical and social sciences. We accept high quality papers from basic to translational research especially from low & middle income countries, as classified by the United Nations & World Bank (https://datahelpdesk.worldbank.org/knowledgebase/ articles/906519), with the aim that published research will benefit back the bottom billion population from these countries. Manuscripts submitted from developed or high income countries to MJMS must contain data and information that will benefit the socio-health and bio-medical sciences of these low and middle income countries. The MJMS editorial board consists of internationally regarded clinicians and scientists from low and middle income countries.