High sedentary behavior and low light physical activity are associated with worse glucose rates in cardiometabolic diseases' subjects

• Published in: Journal of bodywork and movement therapies Vol. 40; pp. 295 - 299
• Main Authors: Gerage, Aline Mendes, Bezerra, Juciléia Barbosa, Tomicki, Camila, Coneglian, Juliana Cavestré, Souza, Paulo Vitor de, Mendes, Beatriz Garcia, Benedetti, Tania Rosane Bertoldo
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.10.2024
• Subjects: Aged; Biomarkers - blood; Blood Glucose - metabolism; Cardiometabolic Risk Factors; Cardiovascular disease; Cardiovascular Diseases - epidemiology; Cross-Sectional Studies; Exercise - physiology; Female; Humans; Male; Metabolic disease; Metabolic Diseases; Middle Aged; Physical activity; Physical Medicine and Rehabilitation; Sedentary Behavior; Sedentary time; Uric Acid - blood; Metabolic disease; Cardiovascular disease; Sedentary time; Physical activity
• ISSN: 1360-8592; 1532-9283; 1532-9283
• DOI: 10.1016/j.jbmt.2024.04.021

This study is characterized as an observational study that aimed to analyze the association between time spent in sedentary behavior (SB), light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) with biomarkers of the cardiometabolic profile in individuals with cardiovascular and/or metabolic diseases. The sample consisted of 149 participants (60.68 ± 10.94 years) of a behavior change program related to promote physical activity (PA) and healthy eating habits. Crude and adjusted multiple linear regression models were used to test the associations between SB, LPA, MVPA, and cardiometabolic biomarkers. The significance level was p ≤ 0.05. Crude analyzes showed that a higher time spent in SB was associated with higher glucose levels (β = 0.091; 95%CI 0.031 to 0.151; p < 0.001). On the other hand, a higher time spent in LPA was associated with lower glucose levels (β = −0.015; 95%CI -0.024 to −0.006; p < 0.001). Moreover, a negative association between LPA and uric acid was found (β = -0.000; 95%CI -0.001 to −0.000; p = 0.044). The other cardiometabolic variables were not significantly associated with SB nor with LPA or MVPA (p > 0.05). After adjustment for confounding variables, only the associations between glucose and time spent in SB and LPA remained significant (p = 0.001). This study verified that high time spent in SB and low time spent in LPA are associated with impaired in glucose levels in subjects with cardiometabolic diseases. Therefore, maintaining healthier lifestyle habits such as reducing sedentary time and increasing the level of PA may contribute to maintaining optimal blood glucose levels in this population.