Salomón Salazar-Londoño, Valeria Pérez-Foucrier, Jonathan Patricio Baldera, Markus Aarsland, Luis Carlos Venegas-Sanabria, Miguel German Borda
{"title":"颞肌厚度预测痴呆风险个体营养指标的变化：来自24周纵向研究的见解。","authors":"Salomón Salazar-Londoño, Valeria Pérez-Foucrier, Jonathan Patricio Baldera, Markus Aarsland, Luis Carlos Venegas-Sanabria, Miguel German Borda","doi":"10.1016/j.jarlif.2025.100023","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To investigate whether temporal muscle thickness (TMT) can serve as a predictor of change in nutritional widely used biomarkers in patients at risk of dementia.</p><p><strong>Design: </strong>Longitudinal observational study.</p><p><strong>Setting: </strong>Secondary analysis from a 24-week study conducted across three centers in Norway between 2018 and 2020.</p><p><strong>Participants: </strong>Patients with mild cognitive impairment (MCI) or with two cardiometabolic disorders were included (<i>n</i> = 165).</p><p><strong>Measurements: </strong>Baseline and longitudinal statistical analysis were carried out to establish the association for outcomes (albumin, weight, C-Reactive Protein and Episodic Memory Quality) with TMT.</p><p><strong>Results: </strong>At baseline, there was a positive association between TMT and weight (Estimate=1.5157, <i>p</i> = 0.009). At follow-up, positive associations were observed between TMT and albumin levels (Estimate=0.3031, <i>P</i> = 0.048), as well as TMT and weight (Estimate=1.8954, <i>P</i> = 0.001).</p><p><strong>Conclusion: </strong>TMT is a possible accessible tool in clinical practice for monitoring health variables beyond cognitive decline in patients at risk of dementia.</p>","PeriodicalId":73537,"journal":{"name":"JAR life","volume":"14 ","pages":"100023"},"PeriodicalIF":0.0000,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12357314/pdf/","citationCount":"0","resultStr":"{\"title\":\"Temporal muscle thickness predicts change in nutritional markers in individuals at risk of dementia: Insights from a 24-week longitudinal study.\",\"authors\":\"Salomón Salazar-Londoño, Valeria Pérez-Foucrier, Jonathan Patricio Baldera, Markus Aarsland, Luis Carlos Venegas-Sanabria, Miguel German Borda\",\"doi\":\"10.1016/j.jarlif.2025.100023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>To investigate whether temporal muscle thickness (TMT) can serve as a predictor of change in nutritional widely used biomarkers in patients at risk of dementia.</p><p><strong>Design: </strong>Longitudinal observational study.</p><p><strong>Setting: </strong>Secondary analysis from a 24-week study conducted across three centers in Norway between 2018 and 2020.</p><p><strong>Participants: </strong>Patients with mild cognitive impairment (MCI) or with two cardiometabolic disorders were included (<i>n</i> = 165).</p><p><strong>Measurements: </strong>Baseline and longitudinal statistical analysis were carried out to establish the association for outcomes (albumin, weight, C-Reactive Protein and Episodic Memory Quality) with TMT.</p><p><strong>Results: </strong>At baseline, there was a positive association between TMT and weight (Estimate=1.5157, <i>p</i> = 0.009). At follow-up, positive associations were observed between TMT and albumin levels (Estimate=0.3031, <i>P</i> = 0.048), as well as TMT and weight (Estimate=1.8954, <i>P</i> = 0.001).</p><p><strong>Conclusion: </strong>TMT is a possible accessible tool in clinical practice for monitoring health variables beyond cognitive decline in patients at risk of dementia.</p>\",\"PeriodicalId\":73537,\"journal\":{\"name\":\"JAR life\",\"volume\":\"14 \",\"pages\":\"100023\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12357314/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JAR life\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.jarlif.2025.100023\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JAR life","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.jarlif.2025.100023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
Temporal muscle thickness predicts change in nutritional markers in individuals at risk of dementia: Insights from a 24-week longitudinal study.
Objectives: To investigate whether temporal muscle thickness (TMT) can serve as a predictor of change in nutritional widely used biomarkers in patients at risk of dementia.
Design: Longitudinal observational study.
Setting: Secondary analysis from a 24-week study conducted across three centers in Norway between 2018 and 2020.
Participants: Patients with mild cognitive impairment (MCI) or with two cardiometabolic disorders were included (n = 165).
Measurements: Baseline and longitudinal statistical analysis were carried out to establish the association for outcomes (albumin, weight, C-Reactive Protein and Episodic Memory Quality) with TMT.
Results: At baseline, there was a positive association between TMT and weight (Estimate=1.5157, p = 0.009). At follow-up, positive associations were observed between TMT and albumin levels (Estimate=0.3031, P = 0.048), as well as TMT and weight (Estimate=1.8954, P = 0.001).
Conclusion: TMT is a possible accessible tool in clinical practice for monitoring health variables beyond cognitive decline in patients at risk of dementia.
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