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Risk analysis consists of three elements which are risk management, risk communication, and risk assessment. The risk occurs in many ways and conditions while exercising mostly in the fitness industry. Therefore, the purpose of this study aims to examine the currently available literature that focuses on risk analysis and fitness facilities in the fitness industry. A comprehensive survey of online data source (Scopus and Web of Science All Collection), as well as conference proceeding of possibly related papers, were analyzed. The search was limited to research that was published in English and had complete text access. All of these resources were gone through, using key search words and equivalents for fitness facilities, fitness centre with risk analysis, risk management, risk communication and risk assessment. 33 studies were record screened from 94 total number of records after duplicate and only a few studies were accepted for review which are eight theses was selected in qualitative synthesis and seven studies selected in the quantitative synthesis. The data were sort from the two published studies (Scopus and Web of Science). Results found that 15 dissertations and/or theses were submitted to systematic quality analysis. The findings systematically evaluate cross-sectional observation-based studies indicating risk analysis is critical for maintaining the fitness industry's surroundings safe and pristine when participating in any physical activity, particularly at a fitness facility. Analyses suggest that the assumption that risk analysis has a significant influence on the impression of being able to control future accidents.  In conclusion, applying the management of risk analysis in fitness facilities is important in the fitness industry.

Good quality of sleep is an acknowledged source of physical and mental wellbeing, happiness, and vitality. Without enough hours of restorative sleep, the individual will not be able to function, study, develop and interact even near to their true potential at a point of time. University student's lifestyle changes with the new life of studying. Sleep problems and sleep disorders severely impair university students' academic success. To date, there is limited study on the level of sleep quality among university students during the covid-19 lockdown. The purpose of this study was to determine the level of sleep quality among university students between faculty during the Covid-19 lockdown. A total of 417 respondents among Universiti Teknologi MARA (UiTM) Perlis were set up to answer the questionnaire by Pittsburgh Sleep Quality Index (PSQI). Based on the data, there was a significant difference in the level of sleep quality among UiTM Perlis Student (p = 0.001). The mean global score for all students was (6.47 ± 3.105). Faculty of Architecture Planning and Surveying had a higher mean global score (8.95 ± 2.882). Faculty of Sports Science and Recreation had a lower mean global score (3.86 ± 2.014). From the result, Faculty Architecture Planning and Surveying have poor sleep quality while Faculty of Sports Science and Recreation have good sleep quality. In conclusion, the study showed the level of sleep quality among UiTM Perlis students is slightly greater on poor sleep. This might be due to poor sleep habits like having an irregular sleep pattern and psychological issues such as stress.

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The objective of this study was to compare the muscular strength adaptation during resistance training performed through two methods of exercise order. Thirty recreationally active, resistance untrained men were recruited as research participants and were divided into three groups based on their specific tasks to be performed during six weeks training intervention; i) order A (multi-joint followed by single-joint exercises) ii) order B (single-joint followed by multi-joint exercises) and iii) control group. Bench press was performed as multijoint while chest fly was performed as single-joint exercises. 1RM value for bench press and chest fly exercises were measured pre and post training intervention as an indicator for muscular strength adaptation. Repeated measure analysis of variances (ANOVA) was conducted to determine the effects of training intervention in each groups. The percentages of 1RM score changes during the post test was compared between all groups using one way ANOVA. Results showed that both order A and order B groups improved their 1RM value for both exercises. Bench press 1RM was found to be greater in order A group. Findings of this study suggested that performing a multi-joint exercise first promote greater gain for the multijoint exercise while performing single-joint exercise first lead to no differences in single joint exercise strength gain.