Software Design of College Students' Physical Activity Energy Monitor

2013 ◽  
Vol 464 ◽  
pp. 424-428
Author(s):  
Qi Luo
Keyword(s):  
Physical Activity ◽  
College Students ◽  
Software Design ◽  
Electronic Circuit ◽  
Physiological Condition ◽  
Research Software ◽  
Movement Condition ◽  
Tracking Module ◽  
Activity Energy ◽  
Hardware Structure

The hardware structure of college students physical activity energy monitor has been designed through electronic circuit method in the previous research. Software Design of college students physical activity energy monitor by using LabVIEW is also proposed. User login module, physiological condition module, movement condition module, diet tracking module, virtual coaches module and other modules are also realized in the paper.

Hardware Design of College Students' Physical Activity Energy Monitor

2013 ◽  
Vol 440 ◽  
pp. 335-340
Author(s):  
Qi Luo ◽  
Wei Tao Zheng
Keyword(s):  
Physical Activity ◽  
College Students ◽  
Design Method ◽  
Signal Transmission ◽  
Display Module ◽  
Usb Interface ◽  
Pulse Sensor ◽  
Sensor Module ◽  
Wireless Signal ◽  
Activity Energy

The hardware structure of college students physical activity energy monitor has been designed through the design method of electronic circuit consists of microprocessor module, 3D acceleration sensor module, temperature sensor module, a pulse sensor module, the large capacity memory module, USB interface module, keyboard and LCD display module, the wireless signal transmission module, etc.

Study and Design of College Students’ Physical Activity Energy Monitor

2013 ◽  
Vol 804 ◽  
pp. 256-260 ◽  
Author(s):  
Qi Luo ◽  
Wei Tao Zheng
Keyword(s):  
Physical Activity ◽  
College Students ◽  
Physical Exercise ◽  
Physical Health ◽  
Exercise Time ◽  
High School Graduation Rates ◽  
Exercise Effect ◽  
School Graduation ◽  
Continuous Dynamic ◽  
Activity Energy

College students physique level is related to high school graduation rates, short of exercise time, do not take the factors such as physical exercise, but the most important is students didnt get into the habit of exercise in university period ,lack of interest in physical exercise, the exercise effect is poor, shortage of training facilities and other factors . The Design of college students physical activity energy monitor can provide a reliable means in monitoring physical health of college students. This instrument can make continuous, dynamic, effective monitoring for college students activities to enhance physical health , at the same time to make targeted physical health prescription and personalized fitness guidance strategy for strengthen students physical health. Status of College Student Physical Activity Energy Monitor,The Insight of the Study and The Mechanism of Accelerometer Assess Physical Activity Energy are proposed in the paper.

The Association Among Social Support, Self-Efficacy, Use of Mobile Apps, and Physical Activity: Structural Equation Models With Mediating Effects (Preprint)

2018 ◽  
Author(s):  
Taotao Wang ◽  
Mengyuan Ren ◽  
Ying Shen ◽  
Xiaorou Zhu ◽  
Xing Zhang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
College Students ◽  
Self Efficacy ◽  
Structural Equation ◽  
Mobile Apps ◽  
Mediating Effect ◽  
Activity Levels ◽  
Support Level ◽  
Physical Activity Levels

BACKGROUND Physical inactivity is a risk factor for chronic noncommunicable diseases. Insufficient physical activity has become an important public health problem worldwide. As mobile apps have rapidly developed, physical activity apps have the potential to improve the level of physical activity among populations. OBJECTIVE This study aimed to evaluate the effect of physical activity apps on levels of physical activity among college students. METHODS A Web-based questionnaire was used to survey college students in Beijing from December 27, 2017, to January 5, 2018. According to a previous survey, 43% of college students using physical activity apps and 36% of those who never used such apps achieved the physical activity recommendations. In this study, the sample size was calculated to be 500. The questionnaire consisted of 5 parts: the use of physical activity apps, sports habits, social support, self-efficacy, and social demographic information. Structural equation modeling was used to test the relationships between the use of physical activity apps, self-efficacy, social support, and level of physical activity. RESULTS Of the 1245 participants, 384 college students (30.8%) used physical activity apps (in the past month). Of these 384 students, 191 (49.7%) gained new friends via the app. College students who were using physical activity apps had a higher level of physical activity and higher scores for social support and self-efficacy (<italic>P</italic>&lt;.001) than those who did not use such apps. The use of physical activity apps significantly affected the mediating effect of physical activity level through social support (beta=.126; <italic>P</italic>&lt;.001) and self-efficacy (beta=.294; <italic>P</italic>&lt;.001). Gender played an important role in app use, self-efficacy, and physical activity in the mediation model: male users spent more time on physical activity and had higher self-efficacy scores (<italic>P</italic>&lt;.001). CONCLUSIONS This study focused on college students in Beijing and found that the use of physical activity apps is associated with higher physical activity levels among these students. This effect is mainly through the mediation effect of social support and self-efficacy, rather than the direct effect of physical activity apps. The use of physical activity apps is associated with a higher social support level and higher self-efficacy score. Furthermore, a high social support level and high self-efficacy score are associated with higher physical activity levels.

scholarly journals Formative work to design a digital learning self-assessment and feedback tool to prevent weight gain among college students

2020 ◽  
Vol 6 ◽  
pp. 205520762097945
Author(s):  
Melissa A Napolitano ◽  
Sarah Beth Lynch ◽  
Meghan N Mavredes ◽  
Benjamin D Shambon ◽  
Laurie Posey
Keyword(s):  
Physical Activity ◽  
College Students ◽  
Weight Gain ◽  
Usability Testing ◽  
Formative Research ◽  
Weight Gain Prevention ◽  
Digital Learning ◽  
High Fat ◽  
Prototype Development ◽  
Sugary Beverages

Objective While colleges have implemented brief, tailored interventions for health-risk areas such as alcohol prevention, theoretically-guided digital learning offerings for weight gain prevention have lagged behind in programming and implementation. Thus, the objective was to design and usability test a weight gain prevention digital learning platform for college students with modules targeting key nutrition and physical activity behaviors. Methods Development occurred in iterative phases: formative research, descriptive normative data collection, prototype development, and usability testing. Formative research consisted of background work and survey administration to incoming and current freshmen. Prototype development was guided by theories of behavior change and cognitive processing, and consisted of brief assessment and feedback using written text, graphs, and videos. Iterative usability testing was conducted. Results Current freshmen reported eating more quick order meals per week than incoming freshman, but fewer high-fat snacks and fewer sugary beverages. Current freshmen reported more sedentary time than incoming freshmen. Based on iterative testing results, eight behavioral targets were established: breakfast, high-fat snacks, fried foods, sugary beverages, fruit/vegetables, physical activity, pizza intake, and sedentary behavior. Initial usability testers indicated the modules were easy to understand, held their attention, and were somewhat novel. Analysis of qualitative feedback revealed themes related to content, layout, structure and suggested refinements to the modules. Conclusions A gap exists for evidence-based obesity prevention programs targeted to adolescents as they transition into adulthood. Brief, tailored digital learning interventions show promise towards addressing key behavioral nutrition and physical activity targets among students during the transition to college.

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