Effects of Acute Stretching on Cognitive Function and Mood States of Physically Inactive Young Adults

Comparative Effectiveness of Active Recovery and Static Stretching During Post-Exercise Recovery in Elite Youth Basketball

Purpose: To compare the effectiveness of active recovery (AR) versus static stretching (SS) during post-exercise recovery in basketball. Methods: Using a counterbalanced crossover design, 17 elite youth male players completed two 90-min training sessions, followed by either AR or SS. Differences in jump height (CMJ), heart rate variability (Ln-rMSSD), muscle soreness (VAS), perceived recovery (TQR) and hormonal biomarkers (cortisol, testosterone, testosterone:cortisol ratio) between interventions were assessed at pre-session, post-session (except hormonal biomarkers), post-recovery and 24 h post-session. Differences in Ln-rMSSD were additionally assessed upon awakening on training day, and the following morning. Results: No significant differences were found between interventions at corresponding time points (p > .05). However, the within-intervention time course of recovery differed, as CMJ values were lower at post-recovery, compared with all other time points, in SS only (p < .05, effect size [ES] moderate-to-very large). Additionally, Ln-rMSSD values failed to return to baseline at post-recovery in AR only (p < .05, ES large-to-very large). Similarly, TQR scores were impaired at post-session and post-recovery in AR only (p < .05, ES moderate-to-large). No differences were reported for the remaining variables (p > .05). Conclusion: Differences between AR and SS were probably due to short-term phenomena, indicating that neither strategy was likely superior for improving recovery in the longer term. Overall, neither strategy seemed to significantly improve post-exercise recovery.

Physical fitness is related to concentration performance in adolescents

The aim of this study was to test the relationship between physical fitness and attention in a sample of adolescents. The hypothesis was that the overall fitness as well as its single components (speed, endurance, strength, coordination, and flexibility) would be positively related to participants' performance in a test of attention. Participants were adolescent students (N = 140) aged 15 to 18 years. Physical fitness was measured with the German Motor Test. Attention was assessed with the d2-Test of Attention. Overall, physical fitness explained 26% of the variance in the attentional test performance. Endurance, strength, coordination, and flexibility were all positively linked to participants' attention, whereas speed was unrelated to attention. Endurance and flexibility better predicted how fast participants processed the test items, while strength and coordination better predicted the accuracy with which the participants detected the targets. Better physical fitness seems to be an advantage for adolescents' cognitive performance.

How active coping influences school-aged children's rapid automatized naming: A chain mediation model involving subjective vitality and aerobic fitness

Rapid automatized naming (RAN) has been proven to be important for students' academic performance, but it remains unclear whether and how dealing with stressors (e.g., active coping) is associated with children's development of RAN. To examine this question, this research views the growth of RAN as a cross-stressor adaptation process and proposes that school-aged children may build up adapted and modified stress response systems through active coping in dealing with stressors and cognitive tasks. Based on the broaden-and-build theory and the mind-body unity theory, we explored the impact of active coping on RAN and hypothesized that subjective vitality and aerobic fitness chain mediated the relationship between active coping and RAN. We used two Likert-like scales to measure active coping and subjective vitality, used a number-reading task to measure RAN, and used the progressive aerobic cardiovascular endurance run (PACER) test to measure aerobic fitness. We recruited 303 elementary students in grades 3-5 in China. Results showed that both subjective vitality and aerobic fitness mediated the impact of active coping on time for RAN. Further, the chain indirect effect of active coping→subjective vitality→aerobic fitness→time for RAN was significant, but the reversed chain mediation was not significant. General resources (e.g., subjective vitality) have been shown to be relatively more important than simple physical resources (e.g., aerobic fitness) for RAN. These preliminary findings may contribute to both the cross-stressor-adaptation and active coping literature and have potential implications for improving RAN in school-aged children.

Does Multicomponent Training Improve Cognitive Function in Older Adults Without Cognitive Impairment? A Systematic Review and Meta-analysis of Randomized Controlled Trials

OBJECTIVES

To carry out a systematic review and meta-analysis to verify the effects of multicomponent training on the cognitive function of older adults without cognitive impairment.

DESIGN

Systematic review and meta-analysis.

SETTING AND PARTICIPANTS

Adults aged 60 years and older.

METHODS

The searches were accomplished through MEDLINE (via PubMed), EMBASE, Cochrane Library, Web of Science, SCOPUS, LILACS, and Google Scholar databases. We performed the searches up to November 18, 2022. The study included only randomized controlled trials and older adults without any cognitive impairment (dementia, Alzheimer's, mild cognitive impairment, neurologic diseases). Risk of Bias 2 tool and PEDro scale was performed.

RESULTS

Ten randomized controlled trials were included in the systematic review, of which 6 (involving 166 participants) were compiled in the meta-analysis of random effects models. The Mini-Mental State Examination and Montreal Cognitive Assessment were used to assess global cognitive function. The Trail-Making Test (TMT) (A and B domains) was performed by 4 studies. Compared with the control group, multicomponent training increases the global cognitive function (standardized mean difference = 0.58, 95% CI: 0.34-0.81, I² = 11%; P < .001). Regarding TMT-A and TMT-B, multicomponent training decreases the time performed in the tests (TMT-A: mean difference = -6.70, 95% CI: -10.19 to -3.21; I² = 51%; P = .0002) (TMT-B: mean difference = -8.80, 95% CI: -17.59 to -0.01; I² = 69%; P = .05). The PEDro scale for the studies in our review ranged from 7 to 8 (mean = 7.4 ± 0.5), meaning good methodologic quality, and most studies were judged as at least low in terms of risk of bias.

CONCLUSION AND IMPLICATIONS

Multicomponent training improves cognitive function in older adults without cognitive impairment. Therefore, a possible protective effect of multicomponent training for cognitive function in older adults is suggested.