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Dr. Matus-Castillo, Carlos
Nombre de publicaciĆ³n
Dr. Matus-Castillo, Carlos
Nombre completo
Matus Castillo, Carlos Alexis
Facultad
Email
cmatus@ucsc.cl
ORCID
2 results
Research Outputs
Now showing 1 - 2 of 2
- PublicationBrisk walking pace is associated with better cardiometabolic health in adults: Findings from the Chilean National Health Survey 2016ā2017(International Journal of Environmental Research and Public Health, 2023)
;Cigarroa, Igor ;Bravo-Leal, Michelle ;Petermann-Rocha, Fanny ;Parra-Soto, Solange ;Concha-Cisternas, Yeny; ;VĆ”squez-GĆ³mez, Jaime ;Zapata-Lamana, Rafael ;Parra-Rizo, MarĆa Antonia ;Ćlvarez, CristianCelis-Morales, CarlosBackground: Although the importance of walking for promoting a better cardiometabolic health is widely known (this includes both cardiovascular and metabolic/endocrine systems), there is little knowledge regarding its appropriate pace to provide adults with more cardiometabolic benefits. Aim: To analyze the associations between different walking pace categories and cardiometabolic health markers in the adult Chilean population. Methods: Cross-sectional study. A total of 5520 participants aged 15 to 90 years old from the Chilean National Health Survey (CNHS) 2016ā2017 were included. Walking pace categories (slow, average, and brisk) were collected through self-reported methods. Glycaemia, glycosylated hemoglobin (HbA1c), gamma glutamyl transferase (GGT), vitamin D2, vitamin D3, systolic and diastolic blood pressure, and lipid profile (Total, HDL, LDL, VLDL, No HDL cholesterol and triglycerides) were determined using blood sample tests and measured with the standardized methods described in the CNHS 2016ā2017. Results: People who had a brisk walking pace were associated with lower levels of glycaemia, HbA1c, GGT, systolic and diastolic blood pressure, and higher vitamin D3 levels compared with those with a slow walking pace. Moreover, people with a brisk walking pace had lower levels of VLDL cholesterol compared with those with a slow walking pace. However, after adjusting the model to include sociodemographic background, nutritional status, and lifestyle variables, the differences remained only for glycaemia, HbA1c and systolic blood pressure levels. Conclusions: A brisk walking pace was associated with better cardiometabolic health markers and lipid profile compared with a slow walking pace. - PublicationAssociation between walking pace and diabetes: Findings from the Chilean National Health Survey 2016-2017(International Journal of Environmental Research and Public Health, 2020)
; ; ; ;Cigarroa, Igor ;Espinoza-Sanhueza, MarĆa ;Lasserre-Laso, Nicole ;Diaz-Martinez, Ximena ;Martinez-Sanguinetti, MarĆa ;Leiva, Ana ;Petermann-Rocha, Fanny ;Parra-Soto, Solange ;Concha-Cisternas, Yeny ;Martorell, Miquel ;Ulloa, Natalia ;Waddell, HeatherCelis-Morales, CarlosBackground: Walking pace is a well-known indicator of physical capability, but it is also a strong predictor of type 2 diabetes (T2D). However, there is a lack of evidence on the association between walking pace and T2D, specifically, within developing countries such as Chile. Aim: To investigate the association between self-reported walking pace and T2D in the Chilean adult population. Methods: 5520 Chilean participants (aged 15 to 90 years, 52.1% women) from the Chilean National Health Survey 2016ā2017 were included in this cross-sectional study. Both walking pace (slow, average, and brisk) and diabetes data were collected through self-reported methods. Fasting blood glucose (reported in mg/dl) and glycosylated haemoglobin A (HbA1c) scores were determined via blood exams. Results: In the unadjusted model, and compared to people who reported a slow walking pace, those with average and brisk walking pace had lower blood glucose levels (Ī² = ā7.74 mg/dL (95% CI: ā11.08 to ā4.40) and Ī² = ā11.05 mg/dL (95% CI: ā14.36 to ā7.75), respectively) and lower HbA1c (Ī² = ā0.34% (95% CI: ā0.57 to ā0.11) and Ī²= ā0.72% (95% CI: ā0.94 to ā0.49)), respectively. After adjusting for sociodemographic, Body Mass Index and lifestyle factors, the association between glycaemia and HbA1c remained only for brisk walkers. Both the average and brisk walker categories had lower odds of T2D (OR: 0.59 (95% CI: 0.41 to 0.84) and (OR 0.48 (95% CI: 0.30 to 0.79), respectively). Conclusion: Brisk walkers were associated with lower blood glucose and HbA1c levels. Moreover, average to brisk walking pace also showed a lower risk for T2D.