Rodrigo Sudatti Delevatti

Dr. Rodrigo Sudatti Delevatti

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2016 in Journal of Affective Disorders
Verified
Journal Article
Closed access
FSFELIPE BARRETO SCHUCH
FELIPE BARRETO SCHUCH
ADA.L. Dunn
A.L. Dunn
AKA.C. Kanitz
A.C. Kanitz
RDRodrigo Sudatti Delevatti
Rodrigo Sudatti Delevatti
MFM.P. Fleck
M.P. Fleck

1 April 2015 in Experimental Gerontology
Verified
Journal Article
Closed access
AKAna Carolina Kanitz
Ana Carolina Kanitz
RDRodrigo Sudatti Delevatti
Rodrigo Sudatti Delevatti
TRThais Reichert
Thais Reichert
GLGiane Veiga Liedtke
Giane Veiga Liedtke
RFRodrigo Ferrari
Rodrigo Ferrari
LKLuiz Fernando Martins Kruel
Luiz Fernando Martins Kruel

25 April 2019 in Journal of Physical Activity and Health
Verified
Journal Article
Closed access
RCRochelle Rocha Costa
Rochelle Rocha Costa
ABAdriana Cristine Koch Buttelli
Adriana Cristine Koch Buttelli
AVAlexandra Ferreira Vieira
Alexandra Ferreira Vieira
LCLeandro Coconcelli
Leandro Coconcelli
RMRafael de Lima Magalhães
Rafael de Lima Magalhães
LKLuiz Fernando Martins Kruel
Luiz Fernando Martins Kruel
Background: The aim of this study was to perform a systematic review with meta-analysis and meta-regressions evaluating the effects of isolated strength training (ST), compared with a control group, on total cholesterol (TC), triglycerides (TG), low-density (LDL), high-density lipoprotein (HDL), C-reactive protein (CRP), and adiponectin of adults.Methods: Embase, PubMed, Cochrane, and Scopus data sources were searched up to May 2017. Clinical trials that compared ST with a control group of adults older than 18 years, which evaluated blood TC, TG, LDL, HDL, CRP, or adiponectin as an outcome were included. Random effect was used and the effect size (ES) was calculated by using the standardized mean difference with a 95% confidence interval.Results: ST promotes a reduction in TC (ES: −0.399;P < .001), TG (ES: −0.204;P = .002), LDL (ES: −0.451;P < .001), and CRP (ES: −0.542;P = .01) levels. In addition, ST is associated to an increase in HDL (ES: 0.363;P < .001) and adiponectin concentrations (ES: 1.105;P = .01).Conclusion: ST promotes decreases in TC, TG, LDL, and CRP levels and increases HDL and adiponectin concentrations. Thus, progressive ST could be a potential therapeutic option for improving abnormalities in lipid and inflammatory outcomes in adults.

1 May 2018 in Journal of Science and Medicine in Sport
Verified
Journal Article
Closed access
RDRodrigo Sudatti Delevatti
Rodrigo Sudatti Delevatti
FSFELIPE BARRETO SCHUCH
FELIPE BARRETO SCHUCH
AKAna Carolina Kanitz
Ana Carolina Kanitz
Cristine Lima AlbertonCristine Lima Alberton
Cristine Lima Alberton
EMElisa Corrêa Marson
Elisa Corrêa Marson
LKLuiz Fernando M. Kruel
Luiz Fernando M. Kruel

7 June 2019 in Sports Medicine - Open
Verified
Journal Article
Open access
PDF file
RDRodrigo Sudatti Delevatti
Rodrigo Sudatti Delevatti
CBCláudia Gomes Bracht
Cláudia Gomes Bracht
SLSalime Donida Chedid Lisboa
Salime Donida Chedid Lisboa
RCRochelle Rocha Costa
Rochelle Rocha Costa
EMElisa Corrêa Marson
Elisa Corrêa Marson
LKLuiz Fernando Martins Kruel
Luiz Fernando Martins Kruel
Aerobic training (AT) improves glycemic control in patients with type 2 diabetes. However, the role of the progression of training variables remains unclear. The objective of this review was to analyze the effects of progressive AT (PAT) and non-progressive AT (NPAT) on glycated hemoglobin (HbA1c) in patients with type 2 diabetes. Data sources used were PubMed, Cochrane Central, Embase, SPORTDiscus, and LILACS. Studies that evaluated the effect of at least 12 weeks of PAT and NPAT compared to a control condition on HbA1c levels in type 2 diabetes patients were eligible for analysis. Two independent reviewers screened the search results, extracted the data, and assessed the risk of bias. Effect sizes (ESs) were calculated using the standardized mean difference in HbA1c levels between the intervention and control groups using a random-effect model. Of 5848 articles retrieved, 24 randomized clinical trials (825 participants) were included. Among the included studies, 92% reported to have performed a randomization process, 8% presented allocation concealment, 21% reported blinding of outcome assessment, and 38% reported complete outcome data. AT reduced HbA1c levels by 0.65% (ES: − 1.037; 95% confidence interval [CI]: − 1.386, − 0.688; p < 0.001). The reduction in HbA1c induced by PAT was 0.84% (ES: − 1.478; 95% CI − 2.197, − 0.759; p < 0.001), and NPAT was 0.45% (ES: − 0.920; 95% CI − 1.329, − 0.512; p < 0.001). Subgroup analysis of the different forms of progression showed a reduction in HbA1c levels of 0.94% (ES: − 1.967; 95% CI − 3.783, − 0.151; p = 0.034) with progression in volume, 0.41% (ES: − 1.277; 95% CI − 2.499, − 0.056; p = 0.040) with progression in intensity, and 1.27% (ES: − 1.422; 95% CI − 2.544, − 0.300; p = 0.013) with progression in both volume and intensity. Subgroup analysis of the different modalities of AT showed a reduction of 0.69% (ES: − 1.078; 95% CI − 1.817, − 0.340; p = 0.004) with walking and/or running and of 1.12% (ES: − 2.614; 95% CI − 4.206, − 1.022; p = 0.001) with mixed protocols while progressive training was adopted. In non-progressive protocols, a significant HbA1c reduction was only found with walking and/or running (− 0.43%; ES: − 1.292; 95% CI − 1.856, − 0.72; p < 0.001). The effect of PAT on glycemic control was greater than that of NPAT, especially when volume and intensity were progressively incremented throughout the interventions.