Sports Medicine and Health Science最新文献

{"title":"Adherence to 24-hour movement guidelines and their association with depressive symptoms in adolescents: Evidence from Bangladesh","authors":"Asaduzzaman Khan ,&nbsp;Kazi Rumana Ahmed ,&nbsp;Eun-Young Lee","doi":"10.1016/j.smhs.2023.10.003","DOIUrl":"10.1016/j.smhs.2023.10.003","url":null,"abstract":"<div><p>Healthy movement behaviours are associated with various physical and mental wellbeing; however, little is known about such associations in low- and middle-income countries. The aim of this study was to examine adherence to 24-hour (h) movement guidelines and their relationship with depressive symptoms in adolescents. Data were from 312 Bangladeshi adolescents aged 13–17 years (42% female). Meeting the guidelines was defined as: energy expenditure for physical activity (PA) ​≥ ​1 680 Metabolic Equivalent of Task (MET)-min/week, ≤ 2 ​h/day of recreational screen time (ST), and 8–10 ​h/night of sleep. Depressive symptoms were assessed using the 10-item Center for Epidemiological Studies Depression Scale (CESD-10) with a score of 10 or more indicating high depressive symptoms. Percentage of adolescents meeting the three recommendations was 2.2%, with 17.6% meeting two, and 31.2% meeting one recommendation. Generalized estimating equations showed that odds of having high depressive symptoms was a third (odds ratio [<em>OR</em>] ​= ​0.35, 95% confidence interval [<em>CI</em>], 0.19-0.57) for meeting the PA guidelines, and about a half (<em>OR =</em> 0.47, 95%<em>CI,</em> 0.18-0.87) for meeting the sleep guidelines. Odds of depressive symptoms reduced significantly for meeting PA and sleep (<em>OR =</em> 0.20, 95%<em>CI</em>, 0.09-0.59), or PA and ST (<em>OR</em> ​= ​0.24, 95%<em>CI,</em> 0.08-0.55) guidelines. About half of the adolescents did not meet any recommendations, which underscores the need for public health campaigns to promote adherence to the movement guidelines in this pediatric population. Further longitudinal research with larger sample size is recommended to explore the inter-relationships of these behaviours and their impact on health and wellbeing outcomes of adolescents in Bangladesh.</p></div>","PeriodicalId":33620,"journal":{"name":"Sports Medicine and Health Science","volume":"6 1","pages":"Pages 76-81"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666337623000756/pdfft?md5=b1e21d0dd0f5695c3f6243b779734fe1&pid=1-s2.0-S2666337623000756-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135761061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Current knowledge about pyruvate supplementation: A brief review","authors":"","doi":"10.1016/j.smhs.2024.02.007","DOIUrl":"10.1016/j.smhs.2024.02.007","url":null,"abstract":"<div><p>Pyruvate is a three-carbon ketoacid that occurs naturally in cells. It is produced through enzymatic reactions in the glycolytic pathway and plays a crucial role in energy metabolism. Despite promising early results, later well-controlled studies of physically active people have shown that pyruvate supplementation lasting more than 1 week has no ergogenic effects. However, some data suggest that ingested pyruvate may be preferentially metabolized without accumulation in the bloodstream. Pyruvate exhibits antioxidant activity and can affect the cellular redox state, and exogenous pyruvate can influence metabolism by affecting the acid-base balance of the blood. This brief review focuses on the potential effects of pyruvate as a supplement for active people. The current state of understanding suggests that studies of the effects of pyruvate supplementation should prioritize investigating the timing of pyruvate intake.</p></div>","PeriodicalId":33620,"journal":{"name":"Sports Medicine and Health Science","volume":"6 4","pages":"Pages 295-301"},"PeriodicalIF":2.3,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666337624000271/pdfft?md5=0d9c10bf141be1bea2e33f46a6095dd4&pid=1-s2.0-S2666337624000271-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140467870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exercise and nutrition benefit skeletal muscle: From influence factor and intervention strategy to molecular mechanism","authors":"","doi":"10.1016/j.smhs.2024.02.004","DOIUrl":"10.1016/j.smhs.2024.02.004","url":null,"abstract":"<div><p>Sarcopenia is a progressive systemic skeletal muscle disease induced by various physiological and pathological factors, including aging, malnutrition, denervation, and cardiovascular diseases, manifesting as the decline of skeletal muscle mass and function. Both exercise and nutrition produce beneficial effects on skeletal muscle growth and are viewed as feasible strategies to prevent sarcopenia. Mechanisms involve regulating blood flow, oxidative stress, inflammation, apoptosis, protein synthesis and degradation, and satellite cell activation through exerkines and gut microbiomes. In this review, we summarized and discussed the latest progress and future development of the above mechanisms for providing a theoretical basis and ideas for the prevention and treatment of sarcopenia.</p></div>","PeriodicalId":33620,"journal":{"name":"Sports Medicine and Health Science","volume":"6 4","pages":"Pages 302-314"},"PeriodicalIF":2.3,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666337624000258/pdfft?md5=0386b203d729cc1c63f25d972e78b5c5&pid=1-s2.0-S2666337624000258-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140464631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Consensus statement of Chinese experts on exercise prescription (2023)","authors":"Guoping Li ,&nbsp;Zhengzhen Wang ,&nbsp;Yuefeng Hao ,&nbsp;Jinghua Qian ,&nbsp;Bo Hu ,&nbsp;Yan Wang ,&nbsp;Xijuan Luo ,&nbsp;Yu Ning ,&nbsp;Feng Lin","doi":"10.1016/j.smhs.2024.02.003","DOIUrl":"10.1016/j.smhs.2024.02.003","url":null,"abstract":"<div><p>Exercise prescriptions play a vital role in the prevention and treatment of chronic diseases. A consensus regarding exercise prescription is important for physical health. The “Consensus statement of Chinese experts on exercise prescription” (hereinafter referred to as “Expert Consensus”) divides exercise prescription into two categories: fitness exercise prescription and medical exercise prescription. Traditional Chinese fitness exercises, exercise risk, exercise prescription, and basic precautions for exercise prescription are explained.</p></div>","PeriodicalId":33620,"journal":{"name":"Sports Medicine and Health Science","volume":"6 2","pages":"Pages 200-203"},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666337624000246/pdfft?md5=15b41ab6ce1ba0cb9d1f9896194ea3db&pid=1-s2.0-S2666337624000246-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140470339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Increases in the incremental exercise mean response time across the steady state domain: Implications for exercise testing & prescription","authors":"","doi":"10.1016/j.smhs.2024.02.002","DOIUrl":"10.1016/j.smhs.2024.02.002","url":null,"abstract":"<div><p>We hypothesized that slowed oxygen uptake (<span><math><mrow><mover><mi>V</mi><mo>˙</mo></mover><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span>) kinetics for exercise transitions to higher power outputs (PO) within the steady state (SS) domain would increase the mean response time (MRT) with increasing exercise intensity during incremental exercise. Fourteen highly trained cyclists (mean ± standard deviation [<em>SD</em>]; age (39 ± 6) years [yr]; and <span><math><mrow><mover><mi>V</mi><mo>˙</mo></mover><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span> peak = (61 ± 9) mL/kg/min performed a maximal, ramp incremental cycling test and on separate days, four 6-min bouts of cycling at 30%, 45%, 65% &amp; 75% of their incremental peak PO (Wpeak). SS trial data were used to calculate the MRT and verified by mono-exponential and linear curve fitting. When the ramp protocol attained the value from SS, the PO, in Watts (W), was converted to time (min) based on the ramp function W to quantify the incremental MRT (iMRT). Slope analyses for the <span><math><mrow><mover><mi>V</mi><mo>˙</mo></mover><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span> responses of the SS versus incremental exercise data below the gas exchange threshold (GET) revealed a significant difference (<em>p</em> = 0.003; [0.437 ± 0.08] vs. [0.382 ± 0.05] L⋅min⁻¹). There was a significant difference between the 45% Wpeak steady state <span><math><mrow><mover><mi>V</mi><mo>˙</mo></mover><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span> (ss <span><math><mrow><mover><mi>V</mi><mo>˙</mo></mover><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span>) ([3.08 ± 0.30] L⋅min⁻¹, respectively), and 30% Wpeak ss <span><math><mrow><mover><mi>V</mi><mo>˙</mo></mover><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span> (2.26 ± 0.24) (<em>p</em> &lt; 0.0001; [3.61 ± 0.80] vs. [2.20 ± 0.39] L⋅min⁻¹) and between the iMRT for 45% and 30% Wpeak ss <span><math><mrow><mover><mi>V</mi><mo>˙</mo></mover><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span> values ([50.58 ± 36.85] s vs. [32.20 ± 43.28] s). These data indicate there is no single iMRT, which is consistent with slowed <span><math><mrow><mover><mi>V</mi><mo>˙</mo></mover><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span> kinetics and an increasing <span><math><mrow><mover><mi>V</mi><mo>˙</mo></mover><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span> deficit for higher exercise intensities within the SS domain.</p></div>","PeriodicalId":33620,"journal":{"name":"Sports Medicine and Health Science","volume":"6 4","pages":"Pages 315-323"},"PeriodicalIF":2.3,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666337624000234/pdfft?md5=1d26c912f1aa34fef67f96affc761834&pid=1-s2.0-S2666337624000234-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139965723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of key genes and signaling pathways based on transcriptomic studies of aerobic and resistance training interventions in sarcopenia in SAMP8 mice","authors":"","doi":"10.1016/j.smhs.2024.01.005","DOIUrl":"10.1016/j.smhs.2024.01.005","url":null,"abstract":"<div><p>We examined the effects of resistance and aerobic exercise on the gene expression and biometabolic processes of aging skeletal muscle in senescence-accelerated mouse/prone 8 mice, a model of sarcopenia, and compared them with senescence-accelerated mouse/resistant 1 mice acting as controls. We found that exercise improved muscle strength, endurance, fiber size, also modulated genes and pathways related to synaptic transmission, potassium transport, JAK-STAT signaling, and PI3K-Akt signaling. Our results suggested that BDNF, JAK2, RhoC, Myh6, Stat5a, Tnnc1, and other genes may mediate the beneficial effects of exercise on sarcopenia through these pathways.</p></div>","PeriodicalId":33620,"journal":{"name":"Sports Medicine and Health Science","volume":"6 4","pages":"Pages 358-369"},"PeriodicalIF":2.3,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666337624000052/pdfft?md5=ec37338ced7fd606f19be45c3bdc656e&pid=1-s2.0-S2666337624000052-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139892629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characterizing objective and self-report habitual physical activity and sedentary time in outpatients with an acquired brain injury","authors":"","doi":"10.1016/j.smhs.2024.02.001","DOIUrl":"10.1016/j.smhs.2024.02.001","url":null,"abstract":"<div><p>Outpatients with an acquired brain injury (ABI) experience physical, mental, and social deficits. ABI can be classified into two subgroups based on mechanism of injury: mild traumatic brain injury (mTBI; e.g., concussion) and other ABI (e.g., stroke, brain aneurysm, encephalitis). Our understanding of habitual activity levels within ABI populations is limited because they are often collected using self-report measures. The purpose of this study was to, 1) describe the habitual activity levels of outpatients with ABI using objective and self-report monitoring, and 2) compare the activity levels of outpatients with mTBI vs. other ABI. Sixteen outpatients with other ABI (mean ​± ​standard deviation: [58 ​± ​13] years, 9 females) and 12 outpatients with mTBI ([48 ​± ​11] years, 9 females) wore a thigh-worn activPAL 24 ​h/day (h/day) for 7-days. Outpatients with ABI averaged (6.0 ​± ​2.3) h/day of upright time, (10.6 ​± ​2.2) h/day of sedentary time, (5.6 ​± ​2.7) h/day in prolonged sedentary bouts &gt; 1 ​h, (5 960 ​± ​3 037) steps/day, and (11 ​± ​13) minutes/day (min/day) of moderate-vigorous physical activity (MVPA). There were no differences between activPAL-derived upright, sedentary, prolonged sedentary time, and physical activity between the mTBI and other ABI groups (all, <em>p</em> ​&gt; ​0.31). Outpatients with ABI overestimated their MVPA levels (+138 ​min/week) and underestimated sedentary time (−4.3 ​h/day) compared to self-report (all, <em>p</em> ​&lt; ​0.001). Despite self-reporting high activity levels, outpatients with ABI objectively exhibit highly inactive and sedentary lifestyles. The habitual movement behaviours of our sample did not differ by mechanism of injury (i.e., mTBI versus other ABI). Targeting reductions in objectively measured sedentary time are needed to progressively improve the habitual movement behaviours of outpatients with ABI.</p></div>","PeriodicalId":33620,"journal":{"name":"Sports Medicine and Health Science","volume":"6 4","pages":"Pages 338-343"},"PeriodicalIF":2.3,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666337624000118/pdfft?md5=8fc60af4c94327c09da32f763d567521&pid=1-s2.0-S2666337624000118-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139821903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Physiological and perceptual responses to sprint interval exercise using arm versus leg cycling ergometry","authors":"","doi":"10.1016/j.smhs.2024.01.007","DOIUrl":"10.1016/j.smhs.2024.01.007","url":null,"abstract":"&lt;div&gt;&lt;p&gt;Increases in power output and maximal oxygen consumption (&lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mover&gt;&lt;mi&gt;V&lt;/mi&gt;&lt;mo&gt;˙&lt;/mo&gt;&lt;/mover&gt;&lt;msub&gt;&lt;mi&gt;O&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;max) occur in response to sprint interval exercise (SIE), but common use of “all-out” intensities presents a barrier for many adults. Furthermore, lower-body SIE is not feasible for all adults. We compared physiological and perceptual responses to supramaximal, but “non-all-out” SIE between leg and arm cycling exercise. Twenty-four active adults (mean ​± ​&lt;em&gt;SD&lt;/em&gt; age: [25 ​± ​7] y; cycling &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mover&gt;&lt;mi&gt;V&lt;/mi&gt;&lt;mo&gt;˙&lt;/mo&gt;&lt;/mover&gt;&lt;msub&gt;&lt;mi&gt;O&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;max: [39 ​± ​7] mL·kg&lt;sup&gt;−1&lt;/sup&gt;·min&lt;sup&gt;−1&lt;/sup&gt;) performed incremental exercise using leg (LCE) and arm cycle ergometry (ACE) to determine &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mover&gt;&lt;mi&gt;V&lt;/mi&gt;&lt;mo&gt;˙&lt;/mo&gt;&lt;/mover&gt;&lt;msub&gt;&lt;mi&gt;O&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;max and maximal work capacity (Wmax). Subsequently, they performed four 20 ​s bouts of SIE at 130% Wmax on the LCE or ACE at cadence ​= ​120–130 ​rev/min, with 2 ​min recovery between intervals. Gas exchange data, heart rate (HR), blood lactate concentration (BLa), rating of perceived exertion (RPE), and affective valence were acquired. Data showed significantly lower (&lt;em&gt;p&lt;/em&gt; ​&lt; ​0.001) absolute mean ([1.24 ​± ​0.31] L·min&lt;sup&gt;−1&lt;/sup&gt; vs. [1.59 ​± ​0.34] L·min&lt;sup&gt;−1&lt;/sup&gt;; &lt;em&gt;d&lt;/em&gt; ​= ​1.08) and peak &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mover&gt;&lt;mi&gt;V&lt;/mi&gt;&lt;mo&gt;˙&lt;/mo&gt;&lt;/mover&gt;&lt;msub&gt;&lt;mi&gt;O&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; ([1.79 ​± ​0.48] L·min&lt;sup&gt;−1&lt;/sup&gt; vs. [2.10 ​± ​0.44] L·min&lt;sup&gt;−1&lt;/sup&gt;; &lt;em&gt;d&lt;/em&gt; ​= ​0.70) with ACE versus LCE. However, ACE elicited significantly higher (&lt;em&gt;p&lt;/em&gt; ​&lt; ​0.001) relative mean ([62% ​± ​9%] &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mover&gt;&lt;mi&gt;V&lt;/mi&gt;&lt;mo&gt;˙&lt;/mo&gt;&lt;/mover&gt;&lt;msub&gt;&lt;mi&gt;O&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;max vs. [57% ​± ​7%] &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mover&gt;&lt;mi&gt;V&lt;/mi&gt;&lt;mo&gt;˙&lt;/mo&gt;&lt;/mover&gt;&lt;msub&gt;&lt;mi&gt;O&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;max, &lt;em&gt;d&lt;/em&gt; ​= ​0.63) and peak &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mover&gt;&lt;mi&gt;V&lt;/mi&gt;&lt;mo&gt;˙&lt;/mo&gt;&lt;/mover&gt;&lt;msub&gt;&lt;mi&gt;O&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; ([88% ​± ​10%] &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mover&gt;&lt;mi&gt;V&lt;/mi&gt;&lt;mo&gt;˙&lt;/mo&gt;&lt;/mover&gt;&lt;msub&gt;&lt;mi&gt;O&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;max vs. [75% ​± ​10%] &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mover&gt;&lt;mi&gt;V&lt;/mi&gt;&lt;mo&gt;˙&lt;/mo&gt;&lt;/mover&gt;&lt;msub&gt;&lt;mi&gt;O&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;max, &lt;em&gt;d&lt;/em&gt; ​= ​1.33). Post-exercise BLa was significantly higher ([7.0 ​± ​1.7] mM vs. [5.7 ​± ​1.5] mM, &lt;em&gt;p&lt;/em&gt; ​= ​0.024, &lt;em&gt;d&lt;/em&gt; ​= ​0.83) for LCE versus ACE. There was no significant effect of modality on RPE or affective valence (&lt;em&gt;p&lt;/em&gt; ​&gt; ​0.42), and lowest affective valence recorded (2.0 ​± ​1.8) was considered “good to fairly good”. Data show that non “all-out” ACE elicits lower absolute but higher relative HR and &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mover&gt;&lt;mi&gt;V&lt;/mi&gt;&lt;mo&gt;˙&lt;/mo&gt;&lt;/mover&gt;&lt;msub&gt;&lt;mi&gt;O&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; compared to LCE. Less aversive perceptual responses ","PeriodicalId":33620,"journal":{"name":"Sports Medicine and Health Science","volume":"6 4","pages":"Pages 385-393"},"PeriodicalIF":2.3,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666337624000076/pdfft?md5=1d694dda2fc9b3acc330f2ed41161f3f&pid=1-s2.0-S2666337624000076-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139830884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The association of physical activity duration and intensity on emotional intelligence in 10–13 year-old Children","authors":"","doi":"10.1016/j.smhs.2024.01.009","DOIUrl":"10.1016/j.smhs.2024.01.009","url":null,"abstract":"<div><p>Previous studies have shown that Physical Activity (PA) has a positive association with emotional health and intelligence in adolescents but none have focused on the relationship of PA duration and intensity on Emotional Intelligence (EI). The purpose of this study was to cross-sectionally assess the association of PA measures on overall EI and its domains in a cohort of 2 029 adolescents aged 10–13 years of age in the National Longitudinal Survey for Children and Youth (NLSCY) from Canada. Multivariable linear regression analysis of EI was adjusted for age, sex, annual household income, and health status. One-way analysis of variance (ANOVA) was used to relate PA duration measured in minutes, frequency, and intensity categories with continuous GEI scores and also the corresponding scores for domains of GEI. The mean GEI scores were (28.3 ​± ​6.6) for 0–30 ​minute (min) PA duration, (30.0 ​± ​6.5) for 30 to ​&lt; ​60 ​min, (30.8 ​± ​6.7) for 60–120 ​min, and (30.1 ​± ​6.5) for ≥ 121 ​min. There was a statistically significant linear trend across PA duration categories, <em>p</em> ​= ​0.000 4. Post-hoc pairwise comparison revealed that compared to the referent category (&lt; 30 ​min ​PA category) was statistically significantly lower GEI than each of the other two PA categories (30–59 ​min; and 60–120 ​min), both <em>p</em>-values &lt; 0.01. Meeting World Health Organization (WHO) guidelines for duration and vigorous intensity were positively associated with the higher overall EI and its domains except for Stress Management.</p></div>","PeriodicalId":33620,"journal":{"name":"Sports Medicine and Health Science","volume":"6 4","pages":"Pages 331-337"},"PeriodicalIF":2.3,"publicationDate":"2024-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266633762400009X/pdfft?md5=116fe82b9099f159a024a65c2c6baddb&pid=1-s2.0-S266633762400009X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139813670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aerobic interval training preconditioning protocols inhibit isoproterenol-induced pathological cardiac remodeling in rats: Implications on oxidative balance, autophagy, and apoptosis","authors":"","doi":"10.1016/j.smhs.2024.01.010","DOIUrl":"10.1016/j.smhs.2024.01.010","url":null,"abstract":"<div><p>This study aimed to investigate the potential cardioprotective effects of moderate and high-intensity aerobic interval training (MIIT and HIIT) preconditioning. The focus was on histological changes, pro-oxidant-antioxidant balance, autophagy initiation, and apoptosis in myocardial tissue incited by isoproterenol-induced pathological cardiac remodeling (ISO-induced PCR). Male Wistar rats were randomly divided into control (<em>n</em> ​= ​6), ISO (<em>n</em> ​= ​8), MIIT (<em>n</em> ​= ​4), HIIT (<em>n</em> ​= ​4), MIIT ​+ ​ISO (<em>n</em> ​= ​8), and HIIT ​+ ​ISO (<em>n</em> ​= ​8) groups. The MIIT and HIIT protocols were administered for 10 weeks, followed by the induction of cardiac remodeling using subcutaneous injection of ISO (100 ​mg/kg for two consecutive days). Alterations in heart rate (HR), mean arterial pressure (MAP), rate pressure product (RPP), myocardial oxygen consumption (M<span><math><mrow><mover><mi>V</mi><mo>˙</mo></mover></mrow></math></span>O₂), cardiac hypertrophy, histopathological changes, pro-oxidant-antioxidant balance, autophagy biomarkers (Beclin-1, Atg7, p62, LC3 I/II), and apoptotic cell distribution were measured. The findings revealed that the MIIT ​+ ​ISO and HIIT ​+ ​ISO groups demonstrated diminished myocardial damage, hemorrhage, immune cell infiltration, edema, necrosis, and apoptosis compared to ISO-induced rats. MIIT and HIIT preconditioning mitigated HR, enhanced MAP, and preserved M<span><math><mrow><mover><mi>V</mi><mo>˙</mo></mover></mrow></math></span>O₂ and RPP. The pro-oxidant-antioxidant balance was sustained in both MIIT ​+ ​ISO and HIIT ​+ ​ISO groups, with MIIT primarily inhibiting pro-apoptotic autophagy progression through maintaining pro-oxidant-antioxidant balance, and HIIT promoting pro-survival autophagy. The results demonstrated the beneficial effects of both MIIT and HIIT as AITs preconditioning in ameliorating ISO-induced PCR by improving exercise capacity, hemodynamic parameters, and histopathological changes. Some of these protective effects can be attributed to the modulation of cardiac apoptosis, autophagy, and oxidative stress.</p></div>","PeriodicalId":33620,"journal":{"name":"Sports Medicine and Health Science","volume":"6 4","pages":"Pages 344-357"},"PeriodicalIF":2.3,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666337624000106/pdfft?md5=ab7acf9bc48a176885639c1f988830e1&pid=1-s2.0-S2666337624000106-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139889947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}