scholarly journals Age and Attitudes Towards an Internet-Mediated, Pedometer-Based Physical Activity Intervention for Chronic Obstructive Pulmonary Disease: Secondary Analysis

JMIR Aging ◽  
10.2196/19527 ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. e19527
Author(s):  
Stephanie A Robinson ◽  
Emily S Wan ◽  
Stephanie L Shimada ◽  
Caroline R Richardson ◽  
Marilyn L Moy
Keyword(s):  
Physical Activity ◽  
Chronic Obstructive Pulmonary Disease ◽  
Physical Activity Intervention ◽  
Secondary Analysis ◽  
Chronic Obstructive ◽  
Obstructive Pulmonary Disease ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

Background Chronic obstructive pulmonary disease (COPD) is prevalent among older adults. Promoting physical activity and increasing exercise capacity are recommended for all individuals with COPD. Pulmonary rehabilitation is the standard of care to improve exercise capacity, although there are barriers that hinder accessibility. Technology has the potential to overcome some of these barriers, but it is unclear how aging adults with a chronic disease like COPD perceive technology-based platforms to support their disease self-management. Objective Guided by the unified theory of acceptance and use of technology, the current retrospective secondary analysis explores if age moderates multiple factors that influence an individual with COPD’s openness toward an internet-mediated, pedometer-based physical activity intervention. Methods As part of an efficacy study, participants with COPD (N=59) were randomly assigned to use an internet-mediated, pedometer-based physical activity intervention for 12 weeks. At completion, they were asked about their experience with the intervention using a survey, including their performance expectancy and effort expectancy, facilitating conditions (ie, internet use frequency and ability), and use of the intervention technology. Logistic regression and general linear modeling examined the associations between age and these factors. Results Participants ranged in age from 49 to 89 years (mean 68.66, SD 8.93). Disease severity was measured by forced expiratory volume in the first second percent predicted (mean 60.01, SD 20.86). Nearly all participants (54/59) believed the intervention was useful. Regarding effort expectancy, increasing age was associated with reporting that it was easy to find the time to engage in the intervention. Regarding facilitating conditions, approximately half of the participants believed the automated step count goals were too high (23/59) and many did not feel comfortable reaching their goals (22/59). The probability of these perceptions increased with age, even after accounting for disease severity. Age was not associated with other facilitating conditions or use of the technology. Conclusions Age does not influence performance expectancy or use of technology with an internet-mediated, pedometer-based physical activity intervention. Age is associated with certain expectations of effort and facilitating conditions. Consideration of age of the user is needed when personalizing step count goals and time needed to log in to the website. Trial Registration ClinicalTrials.gov NCT01772082; https://clinicaltrials.gov/ct2/show/NCT01772082

scholarly journals Age and Attitudes Towards an Internet-Mediated, Pedometer-Based Physical Activity Intervention for Chronic Obstructive Pulmonary Disease: Secondary Analysis (Preprint)

2020 ◽  
Author(s):  
Stephanie A. Robinson ◽  
Emily S. Wan ◽  
Stephanie L. Shimada ◽  
Caroline R. Richardson ◽  
Marilyn L. Moy
Keyword(s):  
Physical Activity ◽  
Chronic Obstructive Pulmonary Disease ◽  
Physical Activity Intervention ◽  
Secondary Analysis ◽  
Chronic Obstructive ◽  
Obstructive Pulmonary Disease ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

BACKGROUND Chronic obstructive pulmonary disease (COPD) is prevalent among older adults. Promoting physical activity and increasing exercise capacity are recommended for all individuals with COPD. Pulmonary rehabilitation is the standard of care to improve exercise capacity, although there are barriers that hinder accessibility. Technology has the potential to overcome some of these barriers, but it is unclear how aging adults with a chronic disease like COPD perceive technology-based platforms to support their disease self-management. OBJECTIVE Guided by the unified theory of acceptance and use of technology, the current retrospective secondary analysis explores if age moderates multiple factors that influence an individual with COPD’s openness toward an internet-mediated, pedometer-based physical activity intervention. METHODS As part of an efficacy study, participants with COPD (N=59) were randomly assigned to use an internet-mediated, pedometer-based physical activity intervention for 12 weeks. At completion, they were asked about their experience with the intervention using a survey, including their performance expectancy and effort expectancy, facilitating conditions (ie, internet use frequency and ability), and use of the intervention technology. Logistic regression and general linear modeling examined the associations between age and these factors. RESULTS Participants ranged in age from 49 to 89 years (mean 68.66, SD 8.93). Disease severity was measured by forced expiratory volume in the first second percent predicted (mean 60.01, SD 20.86). Nearly all participants (54/59) believed the intervention was useful. Regarding effort expectancy, increasing age was associated with reporting that it was easy to find the time to engage in the intervention. Regarding facilitating conditions, approximately half of the participants believed the automated step count goals were too high (23/59) and many did not feel comfortable reaching their goals (22/59). The probability of these perceptions increased with age, even after accounting for disease severity. Age was not associated with other facilitating conditions or use of the technology. CONCLUSIONS Age does not influence performance expectancy or use of technology with an internet-mediated, pedometer-based physical activity intervention. Age is associated with certain expectations of effort and facilitating conditions. Consideration of age of the user is needed when personalizing step count goals and time needed to log in to the website. CLINICALTRIAL ClinicalTrials.gov NCT01772082; https://clinicaltrials.gov/ct2/show/NCT01772082

scholarly journals Determinants of Fitness App Usage and Moderating Impacts of Education-, Motivation-, and Gamification-Related App Features on Physical Activity Intentions: Cross-sectional Survey Study (Preprint)

2020 ◽  
Author(s):  
Yanxiang Yang ◽  
Joerg Koenigstorfer
Keyword(s):  
Physical Activity ◽  
Behavioral Intention ◽  
Unified Theory ◽  
Physically Active ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
And Gender ◽  
Facilitating Conditions ◽  
Behavioral Intention To Use

BACKGROUND Smartphone fitness apps are considered promising tools for promoting physical activity and health. However, it is unclear which user-perceived factors and app features encourage users to download apps with the intention of being physically active. OBJECTIVE Building on the second version of the Unified Theory of Acceptance and Use of Technology, this study aims to examine the association of the seven determinants of the second version of the Unified Theory of Acceptance and Use of Technology with the app usage intentions of the individuals and their behavioral intentions of being physically active as well as the moderating effects of different smartphone fitness app features (ie, education, motivation, and gamification related) and individual differences (ie, age, gender, and experience) on these intentions. METHODS Data from 839 US residents who reported having used at least one smartphone fitness app were collected via a web-based survey. A confirmatory factor analysis was performed, and path modeling was used to test the hypotheses and explore the influence of moderators on structural relationships. RESULTS The determinants explain 76% of the variance in the behavioral intention to use fitness apps. Habit (<i>β</i>=.42; <i>P</i>&lt;.001), performance expectancy (<i>β</i>=.36; <i>P</i>&lt;.001), facilitating conditions (<i>β</i>=.15; <i>P</i>&lt;.001), price value (<i>β</i>=.13; <i>P</i>&lt;.001), and effort expectancy (<i>β</i>=.09; <i>P</i>=.04) were positively related to behavioral intention to use fitness apps, whereas social influence and hedonic motivation were nonsignificant predictors. Behavioral intentions to use fitness apps were positively related to intentions of being physically active (<i>β</i>=.12; <i>P</i>&lt;.001; <i>R<sup>2</sup></i>=0.02). Education-related app features moderated the association between performance expectancy and habit and app usage intentions; motivation-related features moderated the association of performance expectancy, facilitating conditions, and habit with usage intentions; and gamification-related features moderated the association between hedonic motivation and usage intentions. Age moderated the association between effort expectancy and usage intentions, and gender moderated the association between performance expectancy and habit and usage intentions. User experience was a nonsignificant moderator. Follow-up tests were used to describe the nature of significant interaction effects. CONCLUSIONS This study identifies the drivers of the use of fitness apps. Smartphone app features should be designed to increase the likelihood of app usage, and hence physical activity, by supporting users in achieving their goals and facilitating habit formation. Target group–specific preferences for education-, motivation-, and gamification-related app features, as well as age and gender differences, should be considered. Performance expectancy had a high predictive power for intended usage for male (vs female) users who appreciated motivation-related features. Thus, apps targeting these user groups should focus on goal achievement–related features (eg, goal setting and monitoring). Future research could examine the mechanisms of these moderation effects and their long-term influence on physical activity.

scholarly journals Determinants of Fitness App Usage and Moderating Impacts of Education-, Motivation-, and Gamification-Related App Features on Physical Activity Intentions: Cross-sectional Survey Study

10.2196/26063 ◽  
2021 ◽  
Vol 23 (7) ◽  
pp. e26063
Author(s):  
Yanxiang Yang ◽  
Joerg Koenigstorfer
Keyword(s):  
Physical Activity ◽  
Behavioral Intention ◽  
Unified Theory ◽  
Physically Active ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
And Gender ◽  
Facilitating Conditions ◽  
Behavioral Intention To Use

Background Smartphone fitness apps are considered promising tools for promoting physical activity and health. However, it is unclear which user-perceived factors and app features encourage users to download apps with the intention of being physically active. Objective Building on the second version of the Unified Theory of Acceptance and Use of Technology, this study aims to examine the association of the seven determinants of the second version of the Unified Theory of Acceptance and Use of Technology with the app usage intentions of the individuals and their behavioral intentions of being physically active as well as the moderating effects of different smartphone fitness app features (ie, education, motivation, and gamification related) and individual differences (ie, age, gender, and experience) on these intentions. Methods Data from 839 US residents who reported having used at least one smartphone fitness app were collected via a web-based survey. A confirmatory factor analysis was performed, and path modeling was used to test the hypotheses and explore the influence of moderators on structural relationships. Results The determinants explain 76% of the variance in the behavioral intention to use fitness apps. Habit (β=.42; P<.001), performance expectancy (β=.36; P<.001), facilitating conditions (β=.15; P<.001), price value (β=.13; P<.001), and effort expectancy (β=.09; P=.04) were positively related to behavioral intention to use fitness apps, whereas social influence and hedonic motivation were nonsignificant predictors. Behavioral intentions to use fitness apps were positively related to intentions of being physically active (β=.12; P<.001; R2=0.02). Education-related app features moderated the association between performance expectancy and habit and app usage intentions; motivation-related features moderated the association of performance expectancy, facilitating conditions, and habit with usage intentions; and gamification-related features moderated the association between hedonic motivation and usage intentions. Age moderated the association between effort expectancy and usage intentions, and gender moderated the association between performance expectancy and habit and usage intentions. User experience was a nonsignificant moderator. Follow-up tests were used to describe the nature of significant interaction effects. Conclusions This study identifies the drivers of the use of fitness apps. Smartphone app features should be designed to increase the likelihood of app usage, and hence physical activity, by supporting users in achieving their goals and facilitating habit formation. Target group–specific preferences for education-, motivation-, and gamification-related app features, as well as age and gender differences, should be considered. Performance expectancy had a high predictive power for intended usage for male (vs female) users who appreciated motivation-related features. Thus, apps targeting these user groups should focus on goal achievement–related features (eg, goal setting and monitoring). Future research could examine the mechanisms of these moderation effects and their long-term influence on physical activity.

Modeling the Factors that Influence Ghanaian Entrepreneurs to Adopt e-Commerce

2021 ◽  
Vol 18 (06) ◽  
Author(s):  
Frederick Pobee
Keyword(s):  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Unified Theory ◽  
Cross Sectional ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

This study investigated the factors that influence Ghanaian entrepreneurs to adopt e-commerce. Cross-sectional data was gathered from 520 entrepreneurs in the most populous and industrious regions in Ghana. The unified theory of acceptance and use of technology (UTAUT) was employed to effectively understand the unexplored phenomenon of e-commerce adoption among Ghanaian entrepreneurs. Partial Least Square-Structural Equation Modeling (PLS-SEM) was used to test the hypothesized relationships. The findings indicate that performance expectancy, effort expectancy, and social influence (SI) positively and significantly influenced the behavioral intention (BI) to adopt e-commerce. Facilitating conditions (FC) and BI had a significant positive relationship with the adoption of e-commerce.

The Moderating Effects of Gender on E-Commerce Systems Adoption Factors

2018 ◽  
Vol 9 (4) ◽  
pp. 86-104
Author(s):  
Frederick Pobee ◽  
Daniel Opoku
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Moderating Effects ◽  
Performance Expectancy ◽  
Adoption Factors ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Actual Use ◽  
Facilitating Conditions

The purpose of this article was to investigate the moderating effects of gender on e-commerce systems adoption factors among university lecturers in Ghana. In order to achieve this purpose, the unified theory of acceptance and use of technology (UTAUT) was used as the theoretical lens for the study. Eight hypotheses were developed and tested. Data analysis was performed with a structural equation modeling (SEM) technique using SmartPLS Application. Using a survey of 223 respondents, the study showed that factors such as performance expectancy, effort expectancy, and facilitating conditions positively and significantly influenced Ghanaian lecturers' behavioral intention and ultimately the actual use of e-commerce systems. As for the moderating effects of gender, this study discovered that gender insignificantly moderated the effects of performance expectancy, effort expectancy and social influence on behavioral intention.

scholarly journals Analisis Penerimaan dan Penggunaan Aplikasi Gojek Menggunakan Model UTAUT

2020 ◽  
Vol 1 (1) ◽  
pp. 85-95
Author(s):  
Nadiyah Hidayati ◽  
Yudi Ramdhani
Keyword(s):  
Data Processing ◽  
Social Influence ◽  
Significant Influence ◽  
Behavioral Intention ◽  
Strong Relationship ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Data Processing Method ◽  
Effort Expectancy ◽  
Facilitating Conditions

Abstrak Objektif. Aplikasi Gojek merupakan aplikasi berbasis android yang menjadi pintu masuk bagi pelanggan untuk mendapatkan layanan yang disediakan PT Gojek Indonesia. Penelitian ini dilakukan untuk menganalisa faktor-faktor yang mempengaruhi penerimaan dan penggunaan aplikasi Gojek menggunakan model Unified Theory of Acceptance and Use of Technology (UTAUT) dengan 4 variabel bebas dan 1 variabel terikat yaitu ekspektasi kinerja, ekspektasi usaha, faktor sosial, kondisi-kondisi pemfasilitasi, dan niat perilaku. Penelitian ini dilakukan terhadap 100 responden pengguna aplikasi Gojek  pada SMK MVP Ars Internasional. Material and Metode. Model UTAUT digunakan untuk mengetahui tingkat keberhasilan penerimaan aplikasi Gojek agar dapat diterima oleh masyarakat. Metode pengolahan data yang digunakan adalah regresi linear berganda yang menggunakan software SPSS 22. Hasil. Dari pengolahan data tersebut didapatkan hasil bahwa variabel ekspektasi kinerja, ekspektasi usaha, faktor sosial dan kondisi-kondisi pemfasilitasi memiliki nilai korelasi sebesar 0,867 terhadap niat perilaku, artinya antara variabel independen dan dependen dalam penelitian ini memiliki hubungan yang sangat kuat, nilai R Square (R2) sebesar 75,2% sedangkan sisanya dipengaruhi variabel lain. Kesimpulan. Dengan demikian dapat disimpulkan bahwa secara simultan, variabel ekspektasi kinerja, ekspektasi usaha, faktor sosial, dan kondisi-kondisi pemfasilitasi berpengaruh secara positif dan signifikan terhadap niat perilaku aplikasi Gojek. Sedangkan secara parsial, hanya variabel ekspektasi kinerja dan faktor sosial yang memiliki pengaruh positif dan signifikan terhadap niat perilaku aplikasi Gojek. Sedangkan variabel ekspektasi usaha dan kondisi-kondisi pemfasilitasi tidak memiliki pengaruh positif dan signifikan terhadap niat perilaku dalam menggunakan aplikasi Gojek. Abstrack Objective. Gojek application is an android-based application that is the entrance for customers to get the services provided PT Gojek Indonesia. This study was conducted to analyze the factors that influence the acceptance of Gojek applications using the UTAU) method with 4 independent variables and 1 dependent variable namely Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, and Behavioral Intention. This research was conducted on 100 respondents of the Gojek application SMK MVP Ars International. Materials and Methods. The UTAUT model is used to determine the level of success in accepting Gojek applications to be accepted by the community. The data processing method used is multiple linear regression using SPSS 22 software. Results From the data processing, the results show that the variables of performance expectancy, effort expectancy, social influence, and facilitating conditions have a correlation value of 0,867 to behavioral intention, meaning between independent and dependent variables in this study has a strong relationship, the value of R Square (R2) of 75,2% while the rest is influenced by other variables. Conclusion. Thus it can be concluded that simultaneously, the variable performance expectancy, effort expectancy, social influence, and facilitating conditions positively and significantly affect the behavioral intention of Gojek applications. While partially, only the performance expectancy and social influence variables that have a positive and significant influence on the behavioral intention of Gojek application. While the effort expectancy and facilitating conditions variable does not have a positive and significant influence on Behavioral Intentionin using the Gojek application.

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