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  1. Syed Lamsah Syed Chear, Mohd Imran Mohd, Sareena Hanim Hamzah
    MyJurnal
    Excellence in institutions of higher learning (IHL) very often focused to academic performance while the development of student personalities is marginal. The objective of this study was to explore factors that drive student engagement in physical activity and the impact of the involvement towards academic performance and personality growth. The respondent consists of 61 diploma students from various field of studies at a private university. All of them are taking a compulsory course namely MPU2412 Sports for 14 weeks between January until May 2016. A questionnaire were used to collect data from the students at the last week of the semester. The six dimensions assessed are (i) self-expression, (ii) the role of parents, family members and schools, (iii) interests, (iv) the influence of environment and facilities provided, (v) involvement in clubs and associations activities, (vi) knowledge, and (vii) internal motivation. The data is then analysed using the Statistical Package for Social Science (SPSS) version 22. The research findings reveal that there is a small value of Pearson’s R to indicate the linear relationship between student academic performance and their engagement on physical activities which are cycling (.258), competing (.181), exercising (.176) and jogging (.001). The irregular activities in sports negatively impact the learning process. The researcher suggest the negative value for plays sport (-.135) is due to the consequences of unplanned activities as compared to competing which normally received strict supervision, training, guidance and monitoring from the university. The findings also shows that most of the students are realized that physical activities might plays important roles and contribute for the development of their cognitive ability thus might affect their academic performance. However, lack of internal motivation among themselves become the limiting factor for them to actively engage in physical activities. The researcher strongly suggest for the institution to develop better sport and exercise facilities and organized more well planned physical activity program for students with the ultimate aim to improve students’ personality and their academic performance.
  2. Jadeera Phaik Geok Cheong, Sareena Hanim Hamzah, Mohamad Shariff A. Hamid, Nur Syamsina Ahmad
    Sains Malaysiana, 2018;47:123-129.
    Menstrual irregularity and disordered eating were previously identified as risk factors for low bone mineral density
    (BMD) in female athletes. Therefore, an investigation for more potential factors that could be associated with low BMD
    among Malaysian female athletes is required. The aim of this study was to assess the association of BMD with energy
    availability, body weight, body fat, estrogen level and bone loading status in female athletes and to what extent those
    factors predict BMD. Energy intake and expenditure, body weight, Bone Physical Activity Questionnaire (BPAQ) score
    and estrogen level were determined from 85 female athletes aged 18-30 years in this cross-sectional study. Bone mineral
    density was measured by using an ultrasound bone densitometry device at the calcaneus bone. The female athletes’ body
    weight and fat percentage were 56±9 kg and 27±6%, respectively and they were all eumenorrheic. Fifty three percent
    of them had low BMD (z- score < 0). Their mean energy intake (1291±33 kcal/day) was lower than energy expenditure
    (1807±34 kcal/day) which resulted in a low energy availability (29±1 kcal/day/kg FFM). BMD was positively associated
    with BPAQ score (r=0.4, p=0.000) and body weight (r=0.3, p=0.005) but negatively associated with energy expenditure
    (r=-0.4, p=0.000). There was no association of BMD with energy intake, energy availability, body fat percentage and
    estrogen level. In conclusion, BMD was associated with energy expenditure, body weight and BPAQ score among female
    athletes. Regression analysis showed that energy expenditure and BPAQ score were the main factors to predict BMD.
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