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      Acute Effects of High-Intensity Interval and Moderate-Intensity Continuous Exercise on GLP-1, Appetite and Energy Intake in Obese Men: A Crossover Trial

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          Abstract

          This study investigated the effect of high-intensity interval (HIIE) and moderate-intensity continuous exercise (MICE) on glucagon-like peptide 1 (GLP-1), appetite and energy intake (EI) in obese men. In a randomized crossover trial, 12 participants (28.4 ± 2.6 years, 35.5 ± 4.5 kg/m 2, 39.8 ± 2.2% body fat) performed: (I) Control (CON, no exercise); (II) MICE (20 min, 70% of maximal heart rate) and (III) HIIE (10 × 1 min at 90% of maximal heart rate with 1 min recovery). GLP-1 and appetite were assessed at: (I) PRE: pre-exercise; (II) POST: immediately post-exercise; (III) POST-1 h: 1 h post-exercise. EI was assessed after an ad libitum meal offered 1 h post-exercise and over 24 h. There was a significant time × condition interaction for GLP-1 ( p = 0.035). Higher GLP-1 levels in MICE vs. CON ( p = 0.024) and a trend for HIIE vs. CON ( p = 0.069) POST-1h was found. Hunger was reduced immediately post-HIIE compared to CON ( p < 0.01), but was not sustained POST-1 h ( p > 0.05). EI did not differ between the sessions 1 h post-exercise or over 24H ( p > 0.05). In summary, although MICE increased GLP-1 levels POST-1h and HIIE induced a transient reduction in hunger, both exercise protocols did not impact EI in obese men.

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          High-intensity interval training in patients with lifestyle-induced cardiometabolic disease: a systematic review and meta-analysis.

          Cardiorespiratory fitness (CRF) is a strong determinant of morbidity and mortality. In athletes and the general population, it is established that high-intensity interval training (HIIT) is superior to moderate-intensity continuous training (MICT) in improving CRF. This is a systematic review and meta-analysis to quantify the efficacy and safety of HIIT compared to MICT in individuals with chronic cardiometabolic lifestyle diseases. The included studies were required to have a population sample of chronic disease, where poor lifestyle is considered as a main contributor to the disease. The procedural quality of the studies was assessed by use of a modified Physiotherapy Evidence Base Database (PEDro) scale. A meta-analysis compared the mean difference (MD) of preintervention versus postintervention CRF (VO2peak) between HIIT and MICT. 10 studies with 273 patients were included in the meta-analysis. Participants had coronary artery disease, heart failure, hypertension, metabolic syndrome and obesity. There was a significantly higher increase in the VO2peak after HIIT compared to MICT (MD 3.03 mL/kg/min, 95% CI 2.00 to 4.07), equivalent to 9.1%. HIIT significantly increases CRF by almost double that of MICT in patients with lifestyle-induced chronic diseases. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
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            Effects of high-intensity interval training on cardiometabolic health: a systematic review and meta-analysis of intervention studies.

            The current review clarifies the cardiometabolic health effects of high-intensity interval training (HIIT) in adults. A systematic search (PubMed) examining HIIT and cardiometabolic health markers was completed on 15 October 2015. Sixty-five intervention studies were included for review and the methodological quality of included studies was assessed using the Downs and Black score. Studies were classified by intervention duration and body mass index classification. Outcomes with at least 5 effect sizes were synthesised using a random-effects meta-analysis of the standardised mean difference (SMD) in cardiometabolic health markers (baseline to postintervention) using Review Manager 5.3. Short-term (ST) HIIT (<12 weeks) significantly improved maximal oxygen uptake (VO2 max; SMD 0.74, 95% CI 0.36 to 1.12; p<0.001), diastolic blood pressure (DBP; SMD -0.52, 95% CI -0.89 to -0.16; p<0.01) and fasting glucose (SMD -0.35, 95% CI -0.62 to -0.09; p<0.01) in overweight/obese populations. Long-term (LT) HIIT (≥12 weeks) significantly improved waist circumference (SMD -0.20, 95% CI -0.38 to -0.01; p<0.05), % body fat (SMD -0.40, 95% CI -0.74 to -0.06; p<0.05), VO2 max (SMD 1.20, 95% CI 0.57 to 1.83; p<0.001), resting heart rate (SMD -0.33, 95% CI -0.56 to -0.09; p<0.01), systolic blood pressure (SMD -0.35, 95% CI -0.60 to -0.09; p<0.01) and DBP (SMD -0.38, 95% CI -0.65 to -0.10; p<0.01) in overweight/obese populations. HIIT demonstrated no effect on insulin, lipid profile, C reactive protein or interleukin 6 in overweight/obese populations. In normal weight populations, ST-HIIT and LT-HIIT significantly improved VO2 max, but no other significant effects were observed. Current evidence suggests that ST-HIIT and LT-HIIT can increase VO2 max and improve some cardiometabolic risk factors in overweight/obese populations.
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              Gut hormones and the regulation of energy homeostasis.

              Food intake, energy expenditure and body adiposity are homeostatically regulated. Central and peripheral signals communicate information about the current state of energy balance to key brain regions, including the hypothalamus and brainstem. Hunger and satiety represent coordinated responses to these signals, which include neural and hormonal messages from the gut. In recent years our understanding of how neural and hormonal brain-gut signalling regulates energy homeostasis has advanced considerably. Gut hormones have various physiological functions that include specifically targeting the brain to regulate appetite. New research suggests that gut hormones can be used to specifically regulate energy homeostasis in humans, and offer a target for anti-obesity drugs.
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                Author and article information

                Journal
                Nutrients
                Nutrients
                nutrients
                Nutrients
                MDPI
                2072-6643
                12 July 2018
                July 2018
                : 10
                : 7
                : 889
                Affiliations
                [1 ]Graduate Program in Physical Education, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil; victormattos_@ 123456hotmail.com (V.A.F.M.); daniel_souza86@ 123456hotmail.com (D.C.S.); victoroliveira.ufrn@ 123456hotmail.com (V.O.A.S.); ecc@ 123456ufrnet.br (E.C.C.)
                [2 ]Department of Nutrition, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil; italofreire@ 123456icloud.com
                [3 ]Graduate Program in Health Sciences, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil; rodrigobrowne@ 123456ufrn.edu.br (R.A.V.B.); alexandreserquiz@ 123456gmail.com (A.C.S.)
                [4 ]Institute of Tropical Medicine, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil; prpn1987@ 123456gmail.com
                [5 ]Health Science College of Trairi, Federal University of Rio Grande do Norte, Santa Cruz 9200-000, Brazil; cristiane_ramos@ 123456hotmail.com
                Author notes
                [* ]Correspondence: apfayh@ 123456yahoo.com.br ; Tel.: +55-84-3342-2291
                Author information
                https://orcid.org/0000-0003-4995-7922
                https://orcid.org/0000-0002-2721-1778
                https://orcid.org/0000-0002-9130-9630
                Article
                nutrients-10-00889
                10.3390/nu10070889
                6073197
                30002304
                3637745f-df46-4bf2-b658-d2a526a1f8a3
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 30 May 2018
                : 09 July 2018
                Categories
                Article

                Nutrition & Dietetics
                obesity,high intensity interval exercise,hunger,compensation,gastrointestinal hormones,energy intake,t0,t30 and t90 min,respectively

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