1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Insulin resistance, C-reactive protein, diastolic to systolic blood pressure ratio and epicardial fat are related to sedentary time, and inversely related to physical activity in school-aged children

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Physical activity (PA) is beneficial for the overall health. Objectives are: (1) To compare metabolic (MRM) and cardiovascular-risk-markers (CRM) in children according to their PA-level; (2) to explore the associations of MRM and CRM with PA and sedentary time (ST); and (3) to identify the associations between MRM and CRM in less (LA) and more active (MA) children.

          Methods

          A total of 238 apparently healthy school-aged children were enrolled (132 boys/106 girls; 9.1 ± 1.8 years) and body mass index standard deviation score (BMI SDS) and blood pressure were assessed. Fasting venous blood sampling was performed to assess insulin resistance (HOMA-IR) and high-sensitivity-C-reactive protein (hsCRP). Epicardial fat, interventricular septal and left ventricular posterior wall thicknesses were assessed by high-resolution ultrasonography. PA and ST were assessed by enKid-questionnaire. Children were classified based on enKid-score as being LA and MA (below and above 50th percentile for PA).

          Results

          MA-children had lower values for: BMI SDS, diastolic-to-systolic blood pressure ratio, HOMA-IR and hsCRP (7.02 to 61.5% lower, p = 0.040 to p < 0.0001) compared to LA-children. MRM and CRM were positively associated with ST ( p = 0.003 to p < 0.001), and negatively associated with PA ( p = 0.044 to p < 0.001). Finally, MRM were positively associated with CRM ( p = 0.008 to p < 0.0001). Interestingly, the latter associations were observed in LA-children but were not present in MA-children.

          Conclusion

          More PA is associated with better cardio-metabolic profile in school-aged children. PA seems to modulate the associations between MRM and CRM, thus reinforcing the idea that fostering PA in children may lower the risk for development of a cardio-metabolic disease.

          Related collections

          Most cited references44

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Sedentary Behavior Research Network (SBRN) – Terminology Consensus Project process and outcome

          Background The prominence of sedentary behavior research in health science has grown rapidly. With this growth there is increasing urgency for clear, common and accepted terminology and definitions. Such standardization is difficult to achieve, especially across multi-disciplinary researchers, practitioners, and industries. The Sedentary Behavior Research Network (SBRN) undertook a Terminology Consensus Project to address this need. Method First, a literature review was completed to identify key terms in sedentary behavior research. These key terms were then reviewed and modified by a Steering Committee formed by SBRN. Next, SBRN members were invited to contribute to this project and interested participants reviewed and provided feedback on the proposed list of terms and draft definitions through an online survey. Finally, a conceptual model and consensus definitions (including caveats and examples for all age groups and functional abilities) were finalized based on the feedback received from the 87 SBRN member participants who responded to the original invitation and survey. Results Consensus definitions for the terms physical inactivity, stationary behavior, sedentary behavior, standing, screen time, non-screen-based sedentary time, sitting, reclining, lying, sedentary behavior pattern, as well as how the terms bouts, breaks, and interruptions should be used in this context are provided. Conclusion It is hoped that the definitions resulting from this comprehensive, transparent, and broad-based participatory process will result in standardized terminology that is widely supported and adopted, thereby advancing future research, interventions, policies, and practices related to sedentary behaviors. Electronic supplementary material The online version of this article (doi:10.1186/s12966-017-0525-8) contains supplementary material, which is available to authorized users.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The current state of physical activity assessment tools.

            Physical activity (PA) is a behavior that involves bodily movements resulting in energy expenditure. When assessing PA, the goal is to identify the frequency, duration, intensity, and types of behaviors performed during a period of time. Self-report measures of PA include administration of questionnaires and completion of detailed diaries and/or brief logs. Direct measures include motion sensors such as accelerometers, pedometers, heart-rate monitors, and multiple-sensor devices. The PA assessment period can range from a few hours to a lifetime depending on the tools used. Considerations when selecting a PA tool should include the literacy requirements of a tool, the purpose for assessing PA, the recall or time period to measure, the validity evidence of an assessment tool for the populations measured, and the generalizability of the results to diverse populations.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              What causes the insulin resistance underlying obesity?

              The association between obesity and insulin resistance is an area of much interest and enormous public health impact, with hundreds of articles being published in the last year focused on the possible mechanisms that underlie this association. The purpose to this review is to highlight some of the key recent literature with emphasis on emerging concepts. The specific link between visceral adipose tissue accumulation and insulin resistance continues to be discerned. Visceral adiposity is correlated with accumulation of excess lipid in liver, and results in cell autonomous impairment in insulin signaling. Visceral adipose tissue is also prone to inflammation and inflammatory cytokine production, which also contribute to impairment in insulin signaling. The expansion of visceral adipose tissue and excess lipid accumulation in liver and muscle may result from limited expandability of subcutaneous adipose tissue, due to the properties of its extracellular matrix and capacity for capillary growth. Recent studies underscore the need to better understand the mechanisms linking visceral adiposity with liver fat accumulation, the mechanisms by which ectopic fat accumulation cause insulin resistance, and the mechanisms by which the size of adipose tissue depots is determined.
                Bookmark

                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/2481915/overviewRole: Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/1044636/overviewRole: Role: Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2350796/overviewRole: Role: Role: Role:
                Role: Role: Role: Role:
                Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/1826437/overviewRole: Role: Role:
                Role: Role: Role: Role:
                Role: Role: Role: Role:
                Role: Role:
                URI : https://loop.frontiersin.org/people/1696807/overviewRole: Role: Role: Role: Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/947428/overviewRole: Role: Role: Role: Role: Role: Role: Role:
                Journal
                Front Public Health
                Front Public Health
                Front. Public Health
                Frontiers in Public Health
                Frontiers Media S.A.
                2296-2565
                20 March 2024
                2024
                : 12
                : 1339860
                Affiliations
                [1] 1Pediatric Endocrinology Research Group, Girona Institute for Biomedical Research , Girona, Spain
                [2] 2University School of Health and Sport, University of Girona , Girona, Spain
                [3] 3Maternal-Fetal Metabolic Research Group, Girona Institute for Biomedical Research , Girona, Spain
                [4] 4Research Group of Culture and Education, Institute of Educational Research, University of Girona , Girona, Spain
                [5] 5Chair of Sport and Physical Education – Centre of Olympic Studies, University of Girona , Girona, Spain
                [6] 6Pediatrics, Clinica Bofill , Girona, Spain
                [7] 7Institute of Legal Medicine of Catalonia , Girona, Spain
                [8] 8Research Group of Clinical Anatomy, Embryology and Neuroscience, Department of Medical Sciences, University of Girona , Girona, Spain
                [9] 9Department of Medical Sciences, University of Girona , Girona, Spain
                [10] 10Pediatric Endocrinology, Dr. Josep Trueta Hospital , Girona, Spain
                Author notes

                Edited by: Alexandre A. da Silva, University of Mississippi Medical Center, United States

                Reviewed by: Mircea-Catalin Fortofoiu, University of Medicine and Pharmacy of Craiova, Romania

                Zhengzheng Huang, Shenzhen Second People's Hospital, China

                *Correspondence: Abel López-Bermejo, alopezbermejo@ 123456idibgi.org

                †ORCID: Abel López-Bermejo https://orcid.org/0000-0002-5828-8911

                Article
                10.3389/fpubh.2024.1339860
                10993728
                38577274
                2487670e-4fba-47c3-ba67-be5e3f0c2450
                Copyright © 2024 Vasileva, Carreras-Badosa, Bassols, Serrano-Ferrer, Font-Lladó, López-Ros, Osiniri, Martínez-Calcerrada, San Millán, López-Bermejo and Prats-Puig.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 17 November 2023
                : 04 March 2024
                Page count
                Figures: 2, Tables: 3, Equations: 0, References: 46, Pages: 10, Words: 7233
                Funding
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by grants from the Ministry of Science and Innovation, Carlos III Health Institute, Madrid, Spain (PI20/00399 to JB and PI19/00451 to AL-B), projects co-funded by FEDER (European Fund for regional development). FV holds a fellowship from the Secretariat for Universities and Research of the Ministry of Business and Knowledge of the Government of Catalonia and the European Social Fund (2022FI_B1 00074). GC-B is an Investigator of the Sara Borrell Fund for Scientific Research from Carlos III National Institute of Health (CD19-00172). JB is an investigator of the Miguel Servet Fund from Carlos III National Institute of Health (CPII17/00013). AL-B is an investigator of the I3 Fund for Scientific Research (Ministry of Science and Innovation, Spain).
                Categories
                Public Health
                Original Research
                Custom metadata
                Children and Health

                epicardial fat,interventricular septal thickness,left ventricular posterior wall thickness,insulin resistance,c-reactive protein,physical activity,sedentary time,school-aged children

                Comments

                Comment on this article