Development of the Habitual Activity Estimation Scale for Clinical Research: A Systematic Approach

2006 ◽  
Vol 18 (2) ◽  
pp. 193-202 ◽  
Author(s):  
John A. Hay ◽  
Brock University ◽  
John Cairney
Keyword(s):  
Physical Activity ◽  
Clinical Research ◽  
Systematic Approach ◽  
Psychometric Testing ◽  
Clinical Settings ◽  
Activity Levels ◽  
Habitual Activity ◽  
Physical Activity Levels ◽  
Pediatric Populations ◽  
Activity Estimation

An understanding of the habitual physical activity levels of children with chronic disorders is an important consideration relevant to both treatment and clinical monitoring (8). However, a feasible and useful tool for measuring the physical activity levels of children with chronic illness in clinical settings is not readily available. In this article, we review the development and initial psychometric testing (i.e., construct and reliability) of the Habitual Activity Estimation Scale (HAES), a measure developed for use in clinical research. A summary of these investigations suggests that the HAES appears both valid and reliable as a measure of activity in pediatric populations.

scholarly journals Validation of Parent Proxy Report with Pedometry on Preschool Children's Physical activity

2009 ◽  
Vol 15 (2) ◽  
pp. 65-74
Author(s):  
Bik C. CHOW ◽  
Yung Ching AU
Keyword(s):  
Physical Activity ◽  
Activity Levels ◽  
Proxy Report ◽  
Step Counts ◽  
Habitual Activity ◽  
Parent Proxy Report ◽  
Physical Activity Levels ◽  
Activity Estimation ◽  
Children’S Physical Activity ◽  
Parent Proxy

LANGUAGE NOTE | Document text in English; abstract also in Chinese. The objective of this study was to assess the validity of the Habitual Activity Estimation Scale (HAES) as parent proxy report about the physical activity levels of five- to six-years-old children. Twenty-three children were randomly selected from upper classes in a preschool in Hong Kong. The children's physical activity levels on one typical weekday and one typical weekend were obtained by having their parents completed the HAES questionnaire. And daily steps taken by children on four consecutive days including weekdays and weekend were collected by the pedometer (Yamax, SW-700). The pedometer data were used to assess its agreement with the HAES parent proxy report of the children's physical activity levels. The results showed that the step counts of children between weekdays and weekend as well as between genders were not significantly different. The result also indicated that there was no significant correlation between the HAES proxy report and the daily step counts of children on both weekdays and weekend. To conclude, the validity of HAES parent proxy report in assessing five-years-old preschool children's physical activity levels was low when compared with pedometer data. 本研究旨在評估由家長觀察兒童使用「Habitual Activity Estimation Scale (HAES)日常活動推算表」的有效度，邀請了二十三名五至六歲的幼稚圍生參與作為觀察之用，他們的父母觀察及記錄兒童於上課日和非上課日的日常活動，並以步行計記錄身體活動量來作分析。結果顯示：Habitual Activity Estimation Scale (HAES)和步行計的相關系數沒有出現顯著的相關，指出了Habitual Activity Estimation Scale (HAES)的效度不高。

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.

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