ObjectiveThe tracking of one’s own physical activity with mobile devices is a way of monitoring and motivating oneself to remain healthy. Older adults’ general use of mobile devices for physical activity tracking has not yet been examined systematically. The study aimed to describe the use of physical activity trackers, smartwatches and smartphones, or tablets for tracking physical activity and to examine the reasons for the use of these technologies.MethodsParticipants aged ≥50 years (N = 1013) living in Switzerland were interviewed in a telephone survey. To address the research questions, we calculated descriptive frequency distributions, tested for differences between groups, and performed logistic regression analyses.ResultsDescriptive and multivariate analyses showed that (a) 20.5% of participants used mobile devices for physical activity tracking; (b) men, younger individuals, those with a strong interest in new technology, and those who frequently exercised had a higher likelihood of using mobile devices for physical activity tracking; and (c) participants more often agreed with reasons for use relating to tracking physical activity and motivating oneself to remain healthy than they did with reasons relating to social factors.ConclusionsThe study presented representative data about the actual use of mobile tracking technology in persons over 50 years of age. Today, mainly active and younger elderly (mostly men) with a high interest in technology are using tracking technologies. Results indicate a need for further studies on motivational and usability aspects regarding the use of mobile health tracking devices by older adults.

Background and Objectives A good person–environment-fit has positive effects on well-being in old age. As digital technologies are an integral part of older adults’ environments, we predicted that the use of information and communication technologies (ICT) is associated with subjective well-being among the oldest-old. Specifically, we compared different user groups of ICT devices (nonusers, users of nonweb-connected ICT, users of web-connected ICT) and analyzed the relations among ICT use and three domains of subjective well-being (loneliness, anomie, autonomy). Research Design and Methods We performed a quantitative data analysis using data from the first representative state-wide survey study in North-Rhine Westphalia, Germany on quality of life and well-being of the oldest-old (n = 1,698; age range: 80–103; 9% long-term care). Multiple regression analyses were applied. Results The findings revealed that 25.9% of all individuals aged 80 years and older reported using web-connected ICT, in contrast to 38.5% who do not use ICT at all. Individuals who used web-connected ICT reported lower levels of loneliness and anomie, and higher levels of autonomy. These differences remain significant when controlling for indicators of social inclusion and individual characteristics. Discussion and Implications This study investigated an underexplored group in terms of ICT use, shedding light on the relationship between ICT use and subjective well-being. The oldest-old generally use ICT in their everyday life but an age-related digital divide still exists. To avoid negative consequences of nonuse digital infrastructures and technology training for older adults need to be established.

BackgroundPoor physical activity is one of the major health care problems in Western civilizations. Various digital gadgets aiming to increase physical activity, such as activity trackers or fitness apps, have been introduced over recent years. The newest products are serious games that incorporate real-life physical activity into their game concept. Recent studies have shown that such games increase the physical activity of their users over the short term.ObjectiveIn this study, we investigated the motivational effects of the digital game “Pokémon Go” leading to continued use or abandonment of the game. The aim of the study was to determine aspects that motivate individuals to play augmented reality exergames and how this motivation can be used to strengthen the initial interest in physical activity.MethodsA total of 199 participants completed an open self-selected Web-based survey. On the basis of their self-indicated assignment to one of three predefined user groups (active, former, and nonuser of Pokémon Go), participants answered various questions regarding game experience, physical activity, motivation, and personality as measured by the Big Five Inventory.ResultsIn total, 81 active, 56 former, and 62 nonusers of Pokémon Go were recruited. When asked about the times they perform physical activity, active users stated that they were less physically active in general than former and nonusers. However, based on a subjective rating, active users were more motivated to be physically active due to playing Pokémon Go. Motivational aspects differed for active and former users, whereas fan status was the same within both groups. Active users are more motivated by features directly related to Pokémon, such as catching all possible Pokémon and reaching higher levels, whereas former users stress the importance of general game quality, such as better augmented reality and more challenges in the game. Personality did not affect whether a person started to play Pokémon Go nor their abandonment of the game.ConclusionsThe results show various motivating elements that should be incorporated into augmented reality exergames based on the game Pokémon Go. We identified different user types for whom different features of the game contribute to maintained motivation or abandonment. Our results show aspects that augmented reality exergame designers should keep in mind to encourage individuals to start playing their game and facilitate long-term user engagement, resulting in a greater interest in physical activity.

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This study examines technology adoption among oldest-old cohorts (80+) in private homes and long-term care facilities and analyzes relationships between individual characteristics, the living environment, and different kinds of assistive technologies (AT) and information and communication technologies (ICT). The data analysis is based on a representative survey of the oldest-old group’s quality of life and well-being in North Rhine-Westphalia, Germany ( N = 1,863; age range: 80–103; 12.7% long-term care). Descriptive and multiple binary logistic regression analyses were conducted. Fewer than 3% of people in long-term care used internet-connected ICT devices. AT and ICT device adoption is associated with the living environment and individual characteristics (e.g., functional health, chronological age, education, and technology interest), and different patterns of ICT and AT use can be observed. These results indicate that individual characteristics and the living environment are both decisive in the use of technology among the oldest-old group.