No abstract available.
Motor Activity* ; Pediatric Obesity*

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

No abstract available.
Exercise ; Motor Activity ; Prescriptions*

An increase in physical activity is a key component for effective weight loss. It helps to control weight loss by using excess calories as well as boosting metabolism and lowering insulin levels. Physical activity also helps prevent many chronic diseases and improve the overall human health. The objective of this study was to assess weight loss practice using physical activity strategies among working women in Kuala Lumpur, Malaysia. A total of 639 adult Malaysian working women were screened and 120 respondents were identified based on their experience of losing at least 10% of their highest lifetime body weight, which is a criterion for successful weight-loss. Self-administered questionnaire was used to collect information from 120 successful weight loss respondents. Physical activity was measured by using International Physical Activity Questionnaire (IPAQ) short version. Results showed that 35.8% of women had low physical activity level; slightly above than one third of women (38.3%) had moderate activity level, while 25.8% women had high physical activity level.The most common physical activity monitoring strategies implemented were exercise at least 30 minutes per day (22.5%) and incorporate physical activity into daily life (21.7%). A total of 70.8% women regained weight after significant weight loss. A total of 40.0% who regained weight as compared to 25.7% of those who did not regain weight were physically inactive (p=0.138). There was no statistically significant different in daily sitting time between the two groups (p=0.627). As a conclusion, government working women in Kuala Lumpur have low to moderate physical activity levels. Majority women regained weight after significant weight loss. Common strategies to lose weight are exercise at least 30 minutes per day and incorporate physical activity into daily life. More education and promotion regarding the importance of physical activity should be done to all community members especially to the government working women.
Motor Activity ; Exercise

No abstract available.
Colon ; Female ; Humans ; Motor Activity

No abstract available.
Aged* ; Humans ; Hypertension* ; Motor Activity*

Research on 1060 people who from 20 to 74 years old live in Hanoi. 47% of them was man and 53% was woman. Result: eating and drinking habit has importance effect to the development of diabetes disease. People who eat much fat, drink much beer and eat little vegetable have higher risk of suffering diabetes to use little fat, don’t drink beer and smoke tobacco, and eat more vegetable. People who live in city eat vegetable, fruit and smoke less than suburban but they drink beer much than suburban. Body activity has close relation to the disease condition
metabolism ; Nutrition Therapy ; Motor Activity

No abstract available.
Life Style* ; Motor Activity ; Obesity

PURPOSE: The purpose of this study was to identify the relationship between physical activity and fatigue in patients with cancer. METHODS: The participants of the study were 118 patients who had been diagnosed with cancer at least more than three months before at a university hospital. Physical activity was measured by IPAQ Korean version (2006), and fatigue by the Revised Piper Fatigue Scale. The collected data were analyzed using frequency, percentage, t-test, ANOVA, Pearson correlation coefficient. RESULTS: Continuous physical activity overall in this study was on average 2,154.03+/-2,845.86 MET, and the overall degree of fatigue of the participants was 4.47+/-1.80. There were significant negative correlations between fatigue and moderate physical activity. CONCLUSION: The findings of the study suggested that moderate physical activity is effective for improving fatigue in cancer patients.
Fatigue ; Humans ; Motor Activity ; Piper

PURPOSE: The purpose of this study was to investigate factors influencing college students' health promotion lifestyle. METHODS: The subject was 606 students. Statistical analysis with SPSS used descriptive statistics, t-test, one way ANOVA, Pearson correlation and Stepwise Multiple Regression. RESULTS: The average item score for health promotion lifestyle was 2.58. The subscale showing the highest score was interpersonal relationship (3.03), which was followed by spiritual growth (2.94), stress management (2.54), nutrition (2.52), physical activity (2.16) and health responsibility (2.15). There were significant differences according to age, gender, BMI, perceived health state, religion, economic state, live together, major and health promotion lifestyle. The most powerful predictors of health promotion lifestyle were the prior related behavior (51.8%) and self-efficacy (7.7%). The combination of prior related behavior, perceived self-efficacy, activity-related affect, social support, perceived stress, commitment to a plan of action accounted for 67.9% of the variance of health promotion lifestyle. CONCLUSION: Prior related behavior was the most powerful variable of health promotion lifestyle. Therefore, health promotion programs for changing and maintaining prior related behavior and increasing self-efficacy should be developed to promote a healthy lifestyle in college students.
Health Promotion* ; Humans ; Life Style* ; Motor Activity