Introduction: Many Malaysians does not engage in regular physical activity. The objective of this study was to determine the factors associated with the level of physical activity among non-academics staff in the Faculty of Medicine and Health Sciences (FMHS), Universiti Putra Malaysia (UPM). Methods: This was a cross-sectional study using a self-administered questionnaire consisting socio-demographic, International Physical Activity Questionnaires (short form) and Depression, Anxiety and Stress Scale (DASS) scales to measure the level of physical activity and association with psychosocial and environmental factors. Ethical approval was obtained from the Ethics Committee for Research Involving Human Subjects (JKEUPM). Data was analysed using the SPSS 20.0. A p value of ≤ 0.05 was considered as statistically significant. Results: The response rate was 84% or 120 respondents. 68 (56.7%) respondents was found to have a good level of physical activity. Majority of them were women (70 [58.3%]), aged of < 33 years old (72 [60.0 %]), Malays (113 [94.2%]), and had tertiary education (81[67.5%]). There are significant associations between socio-demographic factors [gender (p=0.013), age (p=0.025) and level of education (p=0.020)] and environmental factor (performing physical activity at gymnasium (p=0.021)) with the level of physical activity on univariate analysis. On multivariate logistic regression, lower educational level (OR 2.96, p=0.016) and performing physical activity at gymnasium/sport centres (OR 4.66, p= 0.026) were associated with engaging with physical activity. Conclusion: Majority of the respondents have a good level of physical activity. Interventions should be planned for staffs otherwise identified as not having a good level of physical activity
Physical activity

BACKGROUND: It has been suggested that engaging technology can empower individuals to be more proactive about their health and reduce their health risks. The aim of the present intervention was to study the effects of technology-aided testing and feedback on physical activity and biological age of employees in a middle-sized enterprise. METHODS: In all, 121 employees (mean age 42 ± 10 years) participated in the 12-month three-arm cluster randomized trial. The fitness measurement process (Body Age) determined the participants’ biological age in years. Physical activity was measured with the International Physical Activity Questionnaire Short Form. RESULTS: Physical activity did not change during the intervention. Biological age (better fitness) improved in all groups statistically significantly (p < 0.001), but with no interaction effects. The mean changes (years) in the groups were −2.20 for the controls, –2.83 for the group receiving their biological age and feedback, and −2.31 for the group receiving their biological age, feedback, and a training computer. CONCLUSION: Technology-aided testing with feedback does not seem to change the amount of physical activity but may enhance physical fitness measured by biological age.
Motor Activity* ; Physical Fitness

INTRODUCTION

COVID-19 is a pandemic that shut down businesses and industries worldwide. The spread of the disease changed social behavior as residents around the world were obliged to endure lockdown and quarantine measures, reducing their physical activity.

To determine the level of physical activity before and during the pandemic among physicians.

A cross-sectional study was carried out on 422 qualified physicians of the Philippine General Hospital, University of the Philippines Manila. The data was obtained from a self-administered questionnaire.

Results of the study revealed a shift of lifestyle from physically active to sedentary in 42.4-57.11% of the respondents during the pandemic. There was no change between the activity levels at work before and during COVID while there was a change in the travel and recreational activities. The results also showed that significant factors including lack of energy, fear of injury, lack of skill, resources, social influences, support seeking activities, and positive alternatives affected their activity levels.

During the pandemic, overall physical activity level decreased. Similarly, factors that motivate health workers to be physically active or sedentary during the COVID-19 pandemic can affect their physical activity levels. Based on this study, the hospital can create guidelines to ensure physical activity among its doctors, especially during a pandemic.

BACKGROUND

According to the World Health Organization, in 2016, there were more than 1.9 billion adults who were overweight. Of these, over 650 million were obese. Physical inactivity is one of the major risk factors for several non-communicable diseases. Healthcare workers who have direct contact with patients often influence their behaviors. However, health care workers who educate their patients but they themselves do not practice what they recommend, may be one of the barriers that can affect patient education and influence.

This research paper aimed to investigate the motivation to participate in physical activity among healthcare workers and to determine the association between the profile of respondents with the different types of motivation.

There was a total of 250 randomly selected respondents who were included in the study. Data were gathered through a self-administered questionnaire utilizing the International Physical Activity Questionnaire-Short Form (IPAQ-SF) and the Behavioral Regulation in Exercise Questionnaire (BREQ-2). Descriptive statistics was used to summarize sociodemographic information, physical activity levels and BREQ-2 profiles. T-test was used to analyze differences in gender while analysis of variance (ANOVA) was used for levels of physical activity and professional category.

Female healthcare professionals have a higher average in amotivation (mean=0.56) while males have a higher average in intrinsic (mean=2.82) motivation. Nurses and ancillary services have higher average amotivation scores than physicians.

Health care workers who have high classification in physical activity have the highest average scores in terms of relative autonomy index, introjected, identified, and intrinsic scores. This demonstrates a positive association between motivation from internal regulation and increased physical activity.

BACKGROUND: Thesedays, the physical strength of adolescents had been weakened compared to the past. The reasons are that adolescents like to enjoy watching TV or video and PC in their rooms and going to school by car even though it is near distance. Therefore, the authors were to investigate the relationship between their physical activity and the amount of maximal oxygen uptake. METHODS: The subjects of this study were 103 freshmen of the college of physical education and 115 freshmen of general college of a university. The instruments used in this study are the step-test and the questionnaire which is composed of sex, age, physical activity, inactivity, rate of perceived exertion, and sports activity. RESULTS: The quantity of the physical activity of the freshmen of the college of physical education such as daily walking distance, floors of step-up and active sorts was significantly higher than that of the freshmen of general college. The hors spent on sitting in chair is less than that of freshmen of general college. The quantity of physical inactivity such as watching TV or video and using PC of freshmen of the college of physical education was lower than that of freshmen of general college. The amount of maximal oxygen uptake(VO2max) estimated by the step-test was significantly higher in freshmen of the college of physical education than those of general college. CONCLUSION: The amount of maximal oxygen uptake of the freshmen of the college of physical education was higher than that of freshmen of general college. And VO2mas was related with physical activity, sports activity and RPE.
Adolescent ; Humans ; Motor Activity* ; Oxygen* ; Physical Education and Training* ; Sports ; Walking

A cross-sectional study was conducted to determine the physical activity levels of 400 adolescents (13 years old) in Kuantan, Pahang using the Physical Activity Questionnaire for Older Children (PAQ-C). The associations of physical activity levels with sex, ethnicity and body mass index were also determined. About one third (35.3%) of the adolescents were in the low physical activity level category, 61.5% in the moderate physical activity level and only 3.0% of the adolescents were in the high physical activity level category. More males (77.9%) were physically active than females (54.9%). Twice as many female adolescents (45.1%) were in the low physical activity level category compared to the male adolescents (22.1%). The associations between physical activity with ethnicity and body mass index were not significant. However, there was a significant interaction effect of sex and ethnicity in mean physical activity score (F = 2.36, p<0.01). Malay males had a significantly higher mean physical activity score as compared to Chinese males (t=2.13; p<0.05). Although Chinese females had a higher mean physical activity score than Malay females, the difference was not statistically significant. Conversely, there was no interaction effect of sex and BMI status in mean physical activity score. This study suggests that physical activity intervention to promote regular physical activity is needed since a high proportion of the adolescents fall within the low physical activity level category.
Physical activity ; Gender ; ethnicity ; Body Mass Index ; ethnic

The purpose of this study was to examine the relationships between peak bone mass and genetic and environmental factors. We measured whole-body bone mineral density (BMD), lumbar spine BMD, and radius BMD with dual-energy X-ray absorptiometry (DXA) and analyzed eight genetic factors: vitamin D receptor (VDR)-3', VDR-5', estrogen receptor (ER), calcitonin receptor (CTR), parathyroid hormone (PTH), osteocalcin (OC), apolipoprotein E (ApoE), and fatty acid binding protein 2 (FABP2) allelic polymorphisms using polymerase chain reaction-restriction fragment length polymorphisms (PCR-RFLPs). We also surveyed menstrual history, food intake, and history of physical activity using questionnaires. After adjusting for age, body mass index (BMI), current smoking status, current Ca intake, alcohol intake, menoxenia, and physical activity, the mean BMD in subjects with the HH/Hh genotype was significantly higher than that of subjects with the hh genotype for whole-body BMD (mean±SD, 1.20±0.10 vs. 1.18 ±0.09 g/cm2; HH/Hh vs. hh, p=0.04) and at lumbar spine BMD (mean±SD, 1.18±0.14 vs. 1.14±0.12 g/cm2; HH/Hh vs. hh, p=0.02) in OC allelic polymorphism. Furthermore, the results of multiple regression analyses taking the 8 genetic factors plus the 7 environmental factors listed above into account showed that the strongest factor contributing to BMD was BMI at any site (whole-body and lumbar BMD p<0.0001, radius BMD p=0.0029). In addition, OC polymorphism (p=0.0099), physical activity (p=0.0245), menoxenia (p=0.0384), and PTH polymorphism (p=0.0425) were independent determinants for whole-body BMD, and OC polymorphism (p=0.0137) and physical activity (p=0.0421) were independent determinants for lumbar BMD and radius BMD, respectively.
lower case pea ; Genetic ; degrees C ; Physical activity ; HH

Objective: To assess the validity of a questionnaire for evaluating the physical activity of young children as reported by parents. Methods: Twenty-one male 1st grade elementary school children were the study subjects. The questionnaire contained 3 questions relating to the physical activity of children and was completed by their parents. These questions were: preference for physical activity: like very much, like, don't like; physical activity compared to peers: more than, the same as, less than peers; time spent on exercise activity per day: <30 min, 30—60 min, 60 min or more. We also assessed physical activity more objectively, using a small instrument for calculating total steps, energy expenditure originating from exercise, and total energy expenditure per day. The contribution of the questionnaire items to the objective indices was evaluated by linear regression analysis. Results: Preference for physical activity was significantly associated with all the objective indices. Physical activity compared with peers had links with total energy expenditure. Time spent in activity was related to total steps and energy expenditure from exercise. Conclusion: All the questionnaire items were valid measures for evaluating the physical activity level in young children and could be applied to a large epidemiological survey.
Physical activity ; Questionnaires ; Energy Metabolism ; Child ; Minute of time

BACKGROUND AND OBJECTIVES

Physical activity (PA) and fitness level are considered key factors in public health promotion, and as such, healthcare workers (HCW) need to be physically well because they are not only responsible for themselves, but of their clients as well. Therefore, we aim to determine the PA and health-related fitness (HRF) level of HCW in a tertiary hospital, disaggregated to age, sex, work assignments, and job tenure.

A cross-sectional research design was utilized to assess HCW from the administrative, medical, nursing, and paramedical cohorts. ALPHA-FIT Test Battery was used to assess cardiorespiratory fitness, muscular strength, lower extremity power and strength, upper body muscle endurance, balance, and body composition.

Our study concurred with the results of previous studies on HCW yielding lower PA levels compared with the general population. We tested 282 participants (administrative: 97; medical: 36; nursing: 55; paramedical: 94), mean age 37.4 years, 64.54% females, 52.13% perceived average health status. Ninety percent of the HCW had PA levels below the World Health Organization’s recommended levels. The ALPHA-FIT mean score per category revealed: one-legged stance, 2.67/3; figure-of-8 run, 2.45/3; shoulder-neck mobility, 4.58/5; modified push-up, 2.05/4; hand-grip strength, 2.5/5; jump and reach, 4/4; dynamic sit-up, 2.62/3; six-minute walk test, 475.38 meters covered. There were no significant differences in PA and HRF levels across cohorts except for modified sit-ups (p < 0.001) and figure-of-8 run (p = 0.012). The results showed significant inverse correlation between balance and shoulder-neck mobility and age (p < 0.001), and modified push ups (p = 0.004). Males had significantly higher sit-up scores (p < 0.001), one-legged stance scores (p = 0.001), and faster figure-of-8 run (p = 0.011), while females had better jump and reach scores (p < 0.001).

Physical activity levels of HCW did not meet the World Health Organization’s recommended PA levels. Healthcare professionals who are expected to be aware of the benefits of PA and HRF have shown low to midfit levels of grip strength, upper extremity endurance, core strength, and cardiorespiratory endurance. Information on PA and HRF may aid in policy making on employee wellness that could highly impact health service delivery.

Small-sided recreational soccer or futsal is associated with near maximal heart rates during training and has been shown to induce favourable metabolic and cardiorespiratory adaptations. It remains unclear, however, whether regular participation in futsal among overweight/obese individuals is effective in improving body composition and metabolic health. The purpose of this study was to determine if futsal can be an alternative method of exercise to promote weight loss and improve metabolic health in overweight/obese men. Eight overweight, untrained male participants (age: 29.5 ± 3.1 years; BMI: 31.2 ± 6.6 kg/m2 ) took part in a 12-week intervention consisted of 4-a-side matches, once or twice weekly. Each game lasted for 60 minutes (4 x 10-min) with 3 minutes active rest between each game. All sessions were conducted in a warm-humid outdoor environment. Exercise heart rates, urine specific gravity and ratings of perceived exertion were recorded during each training session. Blood samples were drawn at baseline and post intervention for analysis of fasting blood glucose (FBG), triglycerides (TG), total cholesterol (TC), high density lipoprotein (HDL-C) and low density lipoprotein (LDL-C). Similarly, body composition analysis was analysed pre and post intervention. The average of percentage of exercise heart rates across the 12 weeks of training was at 77.8 ± 4% of heart rate maximum. Body weight did not change significantly following the intervention, however, an average of 4.5% reduction in body fat percentage (p=0.006) was observed. TG levels were increased following the intervention (1.9 ± 0.7 vs. 2.4 ± 1.0 mmol/L), but no changes were detected in FBG (5.5 ± 1.1 vs. 5.6 ± 0.9 mmol/L), CHOL (6.0 ± 1.1 vs. 5.9 ± 1.1 mmol/L), HDL (1.1 ± 0.2 vs. 1.0 ± 0.1 mmol/L) and LDL (4.1 ± 0.8 vs. 3.8 ± 0.9 mmol/L) levels, as well as blood pressure. In conclusion, the 4-a-side futsal intervention over a 12-week period resulted in lower body fat percentage in untrained, overweight/obese men, without significant improvements in metabolic health parameters. Due to the intermittent nature of the game, there is a potential for futsal to produce greater benefits if the intensities were maintained at higher intensities.
physical activity ; obesity ; body composition ; cardiovascular risk factors