effect of aerobic exercise with synchronous music on functions among medical students

Conditions: Psychological Stress; Aerobic Exercise; Medical Students

Summary: researchers invite participants to volunteer to participate in this cross-sectional, interventional study. this research examines the effects of 8-week aerobic exercise of different intensities combining synchronized music on psychology, attention, and executive function among chinese college students, and also validates the reliability and validity of the chinese version of brief college student hassles scale, the perceived stress scale for medical students, brief multidimensional students'life satisfaction scale, positive thinking skills scale, attentional function index, procrastination assessment scale-student and behavioral assessment of the dysexecutive syndrome-college version, providing a research basis for aerobic exercise to improve the cognitive function and mental health level of chinese college students. participants will be invited to participate in the intervention study, in which participants will be assigned to the intervention group and control group. participation in this study will last approximately 8 weeks for a total of 24 sessions, 40 minutes each session, and participants will not be forced to participate in this study if they do not wish to. this study will include up to 134 participants who will be assigned to the intervention and control groups in a randomized manner.

the study is divided into three parts. cross sectional study design will be used for study 1 and study 2. experimental study with randomised controlled trial (rct) will be used for study 3. study-1: validity and reliability test of the questionnaire for chinese population four scales were selected: the brief multidimensional students' life satisfaction scale - college version (bmslss-c), the positive thinking skills scale (ptss), attentional function index (afi), the executive functions scale for university settings (uef). by using the brislin (1982) method, firstly, the translation of the questionnaire from english to chinese first needs to be finished. the translated version needs to be adapted to chinese culture before implementation. specifically, a bilingual person will translate all parts of the above questionnaire from english to chinese. another bilingual person will translate the translated questionnaire from chinese into english. the english versions of the two materials will be compared for equivalence, they will be reviewed and finalized by a panel of five experts with experience in sports science, sports psychology, health psychology, and physical education. then the questionnaire will be distributed through the web-based questionnaire platform. in the data processing stage, first, the reliability and validity of the three questionnaires will need to be checked, because only with the reliability and validity of the scales, the data will be of analytical value, and the results of the study can be accurately and reliably obtained. for reliability, the magnitude of cronbach's alpha coefficient, which reflects the degree of internal consistency of the questionnaire, is commonly used as a measure. a cronbach's alpha coefficient greater than 0.7, according to the general criteria, means that the scale passes the reliability test, and its internal consistency is satisfactory; when the cronbach's alpha coefficient is greater than 0.8, it means that the scale has good reliability; when the reliability of the scale is below 0.7, the scale needs to be revised at that time. however, in addition to reliability, the validity of the scale needs to be further tested. next, validity will be tested using confirmatory factor analysis (cfa) by using mplus. the cfa model will be constructed separately according to the different dimensions of each scale, the fit indicators for the overall fit measurement were cmin/df, rmr, rmsea, gfi, agfi, nfi, tli, and cfi. in addition, the convergent validity of the scale needs to be analyzed. the main indicator of convergent validity is the average variance extracted (ave), the larger the ave, the more common the measures are and the better they reflect the same type of problem. next, the stability of the translated version of questionnaires employed the test-retest method. an additional 70 participants will be recruited from the 500 participants to re-do the questionnaires after 7 days. this is to compare the stability of the test-retest for the seven questionnaires. study-2: structural equation modeling and path hypothesis validation to test the hypotheses, the full valid sample data are brought into the software amos, the path hypothesis is tested using the maximum likelihood estimation (ml) method. when using structural equation modeling for model estimation, the overall fit of the model is a test of the extent to which the theoretically constructed conceptual model matches the survey data. the analysis will be conducted using amos 23.0. study-3: exploring the possible effects of different intensity aerobic training with synchronous music. experimental intervention stage, all the selected subjects are divided into four research conditions. three groups were intervened under aerobic training with synchronous music of different intensities for 8 weeks, and another group served as a control group without intervention. three aerobic training intervention groups are divided into low-intensity group, moderate-intensity group, and high-intensity group. defining aerobic training with different intensities based on different met values. the relationship between met value and exercise intensity is as follows, less than 3mets belong to low-intensity training, 3-5.9mets belong to moderate-intensity training, greater than 7 mets belong to high-intensity training. the intensity of aerobic training during groups intervention is adjusted through treadmill test. about synchronous music, it is selected using the music tempo according to the exercise intensity as suggested. the music for fast tempo range is 140-150bpm, moderate tempo is 110-120bpm, and slow tempo is 70-80bpm. this study will select 20 pieces of music according to moderate rhythm. after the selection, the 20 songs will be scored by 10 participants using the affect grid and brunel music rating scale-3, and the highest three song tracks will be selected. to ensure that the intensity of the aerobic exercise is in line with the tempo of the music, we use a dj beat regulator to do this. when the music plays, the study design and controls for environmental factors are standardized. it is necessary to determine the mode of delivery, frequency /length of time according to the research content when designing music intervention, which is a primary problem on the music variables can be solved. the mode of delivery of music intervention is choose, and the music will be trimmed according to the exercise programme through headphones by the participant. before and after intervention, the psychological function, attention, executive function, and brain functional connectivity status of the subjects were evaluated through questionnaires, smartwatch, and functional near-infrared spectroscopy (fnirs) brain imaging technology. then analyze the possible effects of different intensities of aerobic training on the psychological state, attention, and executive function of college students based on the results, as well as the correlation with brain functional connectivity.

Eligibility criteria:
inclusion criteria: * medical students willing to participate in aerobic training * population of low questionnaire evaluation results * subjects achieved a result of 7met or more on the treadmill test using the bruce protocol * the medical students with low to moderate physical activity level. they are able to exercise, once or twice per week, but are not in the habit of doing so daily exclusion criteria: * history of major depressive disorder in the past 6 months * have a history of alcohol, drug abuse or use of psychiatric drugs * have a history of head trauma, neurological disease or other serious illness

Keywords: medical students mental health psychophysiological function attentional function executive funcion brain functional connectivity