TY - JOUR
T1 - Temporal muscle thickness predicts change in nutritional markers in individuals at risk of dementia
T2 - Insights from a 24-week longitudinal study
AU - Salazar-Londoño, Salomón
AU - Pérez-Foucrier, Valeria
AU - Patricio Baldera, Jonathan
AU - Aarsland, Markus
AU - Venegas-Sanabria, Luis Carlos
AU - Borda, Miguel German
N1 - Publisher Copyright:
© 2025 The Author(s)
PY - 2025/1
Y1 - 2025/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/105012972483
UR - https://www.scopus.com/inward/citedby.url?scp=105012972483&partnerID=8YFLogxK
U2 - 10.1016/j.jarlif.2025.100023
DO - 10.1016/j.jarlif.2025.100023
M3 - Research Article
AN - SCOPUS:105012972483
SN - 2534-773X
VL - 14
JO - Journal of Aging Research and Lifestyle
JF - Journal of Aging Research and Lifestyle
M1 - 100023
ER -