Improving mobile health apps usage: a quantitative study on mPower data of Parkinson's disease

Factors Affecting the Use of Social Networks and Its Effect on Anxiety and Depression among Parents and Their Children: Predictors Using ML, SEM and Extended TAM

Previous research has found support for depression and anxiety associated with social networks. However, little research has explored parents' depression and anxiety constructs as mediators that may account for children's depression and anxiety. The purpose of this paper is to test the influence of different factors on children's depression and anxiety, extending from parents' anxiety and depression in Jordan. The authors recruited 857 parents to complete relevant web survey measures with constructs and items and a model based on different research models TAM and extended with trust, analyzed using SEM, CFA with SPSS and AMOS, and ML methods, using the triangulation method to validate the results and help predict future applications. The authors found support for the structural model whereby behavioral intention to use social media influences the parent's anxiety and depression which correlate to their offspring's anxiety and depression. Behavioral intention to use social media can be enticed by enjoyment, trust, ease of use, usefulness, and social influences. This study is unique in exploring rumination in the context of the relationship between parent-child anxiety and depression due to the use of social networks.

The Role of Eco-Apps in Encouraging Pro-Environmental Behavior of Young People Studying in Poland

Nowadays, protection of the natural environment is the fundamental duty and challenge of humanity. Adverse environmental changes make it necessary to encourage behaviors that will reduce our negative impact. Due to the development of media, information reaches consumers through various channels. New media, including mobile applications, are becoming increasingly popular. Their potential impact on young consumers cannot be overestimated as young people are able to modify their attitudes, behaviors and habits more easily than older ones. The main aim of this study was to recognize the use of eco-applications as a new source of information in the field of pro-environmental behavior of young people studying in Poland. The research objectives included the identification of pro-environmental behaviors most often declared by students, verifying their recognition and use of eco-applications, and determining the features of eco-app design expected by young users. The study involved the methods of desk research, in-depth interview and computer-assisted web interviewing (CAWI). The empirical material obtained from 772 students representing Generation Z underwent quantitative and qualitative analysis, which allowed for the verification the proposed hypotheses. The respondents most often declared pro-environmental behavior in the household context. As regards eco-apps, the respondents were most likely to recognize applications promoted via traditional media. The main feature expected of eco-app design was ease of use, which does not mean that users expected the app to be in Polish, as this criterion was relatively low rated. The Mann-Whitney test and the Kruskal-Wallis test revealed relationships between such variables as gender, place of residence or income and pro-environmental behavior, the use of selected eco-apps and the expected features of eco-app design.

Understanding the effects of self-peer-platform incentives on users' physical activity in mobile fitness apps: the role of gender

Purpose

Mobile fitness apps (MFAs) are increasingly popular for people to promote physical activity (PA) and further enhance health status via behavioral change techniques (BCTs), but the phenomenon of users abandoning MFAs is still common. For improving users' PA and decreasing dropout rates of MFAs, this study intends to gain insights into the effects of major BCTs-based incentive factors on users' PA under MFAs context and the gender differences in their effects.

Design/methodology/approach

Based on self-determination theory, three major incentive factors were chosen from the perspective of self-peer-platform incentives, i.e. self-monitoring (SM), social support (SS) and platform rewards (PR). A dataset of 4,530 users from a popular mobile fitness app was collected and was analyzed using fixed effects models.

Findings

The results show that all three types of incentive factors are positively associated with users' PA. The estimated effect sizes can be ordered as: SM > PR > SS. Moreover, social support has a stronger positive impact on PA of females than males, whereas platform rewards have a weaker positive effect on PA of females than males. In addition, the results also indicate there are no significant gender differences in the effect of self-monitoring.

Originality/value

There is insufficient research on systematically examining the effects of different types of incentive factors of MFAs on users' PA in one study. This study extends the current understanding of incentive factors by simultaneously examining different incentive factors and the role of gender. The findings can also provide insightful guidance for the design of MFAs.