Mobile use of the Internet using smartphones or tablets by Swiss people over 65 years

Mobile phone use before and during the COVID-19 pandemic – a panel study of older adults in seven countries

The aim of this study was to investigate the changes in older adults’ mobile phone use from before to during the COVID-19 pandemic. The media displacement and digital divide approaches served as the theoretical frameworks of the study. The data were drawn from the 2018 and 2020 waves of the Aging + Communication + Technology cross-national longitudinal panel study. The sample consisted of older Internet users, aged 62 to 96 (in 2018), from Austria, Canada, Finland, Israel, the Netherlands, Romania, and Spain, who participated in both waves (N = 4,398). Latent class analysis and latent transition analysis with multinomial regression models were the main methods applied to the data. With regard to the findings, three mobile phone function use profiles—Narrow Use, Medium Use, and Broad Use—were identified from the data. Lower age, being married, higher income, and place of residence (in 2018) predicted belonging to the three profiles, while country differences in the prevalence of the profiles were substantial. Between 2018 and 2020, transition from one profile to another was relatively rare but typically toward the “Broad Use” category. Profile transitions were most common in Romania, while stability was highest in Finland, Israel, and Canada. In addition, gender, age, marital status, and place of residence predicted the likelihood of changing from one profile to another between 2018 and 2020. The results suggest that older adults’ mobile phone function use is relatively stable over a two-year time span. While new mobile phone functions are adopted, they seem to augment the spectrum of mobile usage rather than displace older similar functionalities. In addition, demographic, socioeconomic, and country-level digital divides, although slightly modified over time, remain significant among older adults.

Social and satisfied? Social uses of mobile phone and subjective wellbeing in later life

The current study examined the associations between socio-demographic background and engagement in social uses of mobile phone, and between the engagement in these uses and life satisfaction and health satisfaction in later life through the lens of digital divide and uses and gratifications theories. The data, collected from the retired Internet users (62 and older) residing in seven countries (N = 5713), were analyzed using logistic and linear regression models. The results show that education and age predicted the engagement in social uses in the most consistent way. A number of social uses positively related to both life and health satisfaction. Of the particular uses, e-mailing and instant messaging were positively associated with life and health satisfaction. The results imply that socio-demographic background predicts the engagement in social uses of mobile phone in later life, that the engagement in such uses plays an overall significant role in wellbeing in later life, and that some particular uses play a greater role than others in this regard.

Digital transformation of everyday lives of older Swiss adults: use of and attitudes toward current and future digital services

Digital (consumer) services, such as ticket machines, self-checkout, and online reservations, have become increasingly important in modern society. Studies on adoption of these services and openness to using future public digital services (e.g., online voting, online taxes, electronic patient records) have mostly focused on younger adults or nonrepresentative samples among older adults. Therefore, two important questions remain that can best be addressed with representative sampling: To what extent do older adults use or are willing to use current and future digital services in their everyday lives? How do older adults evaluate the ease of use of these services?. The study included data on use of current and future digital services among a large Swiss sample of 1149 people age 65 years and older (mean age: 74.1 years, SD: 6.69). Descriptive and multivariate analyses showed that (a) established services such as cash machines were used more often than new services, such as self-checkout apps or machines. (b) Perceived ease of use is related to age, socioeconomic status, health, and interest in technology. (c) Only 8.9% had an overall positive attitude toward these digital services, and this attitude was predicted by age, gender, socioeconomic status, and interest in technology. (d) Participants were more often open to filing taxes online than voting online, and openness was predicted by age, income, and interest in technology. Today, mainly older adults with a high interest in technology use digital services. Nevertheless, potential for greater use is evident.

Chronic Heart Failure Patients’ Attitudes towards Digital Device Data for Self-Documentation and Research in Germany: A Cross-Sectional Survey Study (Preprint)

Background

In recent years, the use of digital mobile measurement devices (DMMDs) for self-documentation in cardiovascular care in Western industrialized health care systems has increased. For patients with chronic heart failure (cHF), digital self-documentation plays an increasingly important role in self-management. Data from DMMDs can also be integrated into telemonitoring programs or data-intensive medical research to collect and evaluate patient-reported outcome measures through data sharing. However, the implementation of data-intensive devices and data sharing poses several challenges for doctors and patients as well as for the ethical governance of data-driven medical research.

Objective

This study aims to explore the potential and challenges of digital device data in cardiology research from patients’ perspectives. Leading research questions of the study concerned the attitudes of patients with cHF toward health-related data collected in the use of digital devices for self-documentation as well as sharing these data and consenting to data sharing for research purposes.

Methods

A cross-sectional survey of patients of a research in cardiology was conducted at a German university medical center (N=159) in 2020 (March to July). Eligible participants were German-speaking adult patients with cHF at that center. A pen-and-pencil questionnaire was sent by mail.

Results

Most participants (77/105, 73.3%) approved digital documentation, as they expected the device data to help them observe their body and its functions more objectively. Digital device data were believed to provide cognitive support, both for patients’ self-assessment and doctors’ evaluation of their patients’ current health condition. Interestingly, positive attitudes toward DMMD data providing cognitive support were, in particular, voiced by older patients aged >65 years. However, approximately half of the participants (56/105, 53.3%) also reported difficulty in dealing with self-documented data that lay outside the optimal medical target range. Furthermore, our findings revealed preferences for the self-management of DMMD data disclosed for data-intensive medical research among German patients with cHF, which are best implemented with a dynamic consent model.

Conclusions

Our findings provide potentially valuable insights for introducing DMMD in cardiovascular research in the German context. They have several practical implications, such as a high divergence in attitudes among patients with cHF toward different data-receiving organizations as well as a large variance in preferences for the modes of receiving information included in the consenting procedure for data sharing for research. We suggest addressing patients’ multiple views on consenting and data sharing in institutional normative governance frameworks for data-intensive medical research.

[The potential of instant messaging for social relations of persons 65]

Hintergrund und Fragestellung

Aktuelle Daten aus der Schweiz zeigen, dass zunehmend auch ältere Personen (65+) Instant-Messaging-Dienste nutzen. Am Beispiel von WhatsApp soll untersucht werden, ob und wie sich die Nutzung von WhatsApp auf unterschiedliche Formen des sozialen Kapitals älterer Menschen auswirkt, und ob die sozioemotionale Selektivitätstheorie auch im digitalen Raum angewendet werden kann.

Untersuchungsmethoden

Es wurde eine qualitative Studie mit 30 WhatsApp-Nutzer(innen) der Altersgruppe 65+ durchgeführt. Die Befragung fußte auf der Erstellung von egozentrierten Netzwerkkarten und der Durchführung von Interviews anhand eines semistrukturierten Leitfadens.

Ergebnisse

WhatsApp wird v. a. für die Kommunikation mit nahestehenden Personen genutzt. Die Nutzung von WhatsApp vereinfacht die Beziehungspflege, erhöht die Kontakthäufigkeit und kann zur Intensivierung von Beziehungen führen. Die Nutzung von WhatsApp kann zudem das Zugehörigkeitsgefühl zu Gruppen stärken. Das Medium wird als sehr niederschwellig beschrieben und erlaubt Spontaneität.

Diskussion

Die sozioemotionale Selektivitätstheorie ist auch im digitalen Raum anwendbar. Via WhatsApp wurden tendenziell positive Inhalte mit emotional bedeutsamen Personen des Netzwerks geteilt. Die Nutzung von WhatsApp erhöht sowohl das „bonding social capital“, da Beziehungen vertieft und verstärkt werden, als auch das „maintaining social capital“, da geografische Distanzen überbrückt werden können.

Digitalization and the Social Lives of Older Adults: Protocol for a Microlongitudinal Study

BACKGROUND

Digital technologies are increasingly pervading our daily lives. Although older adults started using digital technologies later than other age groups, they are increasingly adopting these technologies, especially with the goal of communicating with others. However, less is known about how online social activities are embedded in older adults' daily lives, how they complement other (offline) social activities, and how they contribute to social connectedness and well-being.

OBJECTIVE

Data generated by this project will allow us to understand how older adults use digital communication in their daily lives to communicate with others, how this relates to well-being and social connectedness, and how communication using digital technologies differs from other types of communication depending on situational and individual characteristics.

METHODS

Microlongitudinal data were collected from 120 older adults from German-speaking regions of Switzerland to examine these questions. Data collection took place from April 2019 to October 2019. Data collection took place over different time scales, including event-based (reporting all social interactions for 21 days), daily (well-being, loneliness, and technology use every evening for 21 days), hourly (cortisol assessments 6 times per day for 3 days), and baseline (relevant interindividual characteristics, including sociodemographics, health, technology use, personality, and cognitive performance) assessments.

RESULTS

Data collection for this study was completed in November 2019. Participants reported an average of 96.35 interactions across the 21 days. Among the total 11,453 interactions, 5494 (47.97%) were face-to-face, and around 16% each were interactions by phone (1858, 16.16%), email (1858, 16.22%), and text message (1853, 16.18%). Otherwise, 246 (2.15%) of the interactions took place on social media, 96 (0.84)% were letters, and 54 (0.47%) of the interactions took place on videochat.

CONCLUSIONS

Participants used a variety of modalities in their daily communication, including digital means such as text messages, email, and video calls. Further analysis will provide more detail as to the role that communication via digital media plays in older adults' daily lives.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR1-10.2196/20306.

Health-Related Correlates of Demonstrated Smartphone Expertise in Community-Dwelling Older Adults

Smartphone use in the older population is understudied, despite a growing use of technology in this age group. This study characterized the relation of demonstrated smartphone expertise to self-reported health attitudes and behaviors in 85 community-dwelling adults, mean age 77.24 (7.64) years. Self-report instruments included a demographic survey, a health attitudes measure, and a mobility checklist. Participants completed a behavioral challenge, the Smartphone Task for Older Adults (STOA). Demonstrated expertise in smartphone use (STOA-DESU), familiarity with apps, and ability to replicate functions after demonstration showed differential relations with health outcomes. DESU was positively associated with education, income, Altarum Consumer Engagement Measure (ACE), and Life Space Questionnaire (LSQ) scores and was negatively associated with age and daily medications. Additional findings replicated aspects of the well-known digital divide, and showed that those older adults with restricted mobility or diabetes had less knowledge of and more difficulties in using smartphones. Despite these problems, health-related functions must be optimized for older populations.

Older Adults-Potential Users of Technologies

Background and objective: The successful adoption of technology is becoming increasingly important to functional independence and successful ageing in place. A better understanding of technology usage amongst older people may help to direct future interventions aimed at improving their healthcare. We aimed to obtain the first data regarding technology use, including gerontechnologies, represented by fall detectors, from older adults in Lithuania. Material and methods: The research was carried out in the framework of the project Smart Gerontechnology for Healthy Ageing, which involved assessing the use of technologies and the readiness to use gerontechnologies, as represented by fall detectors. A total of 375 individuals that were more than 60 years of age were enrolled in the study. The self-reporting questionnaires were completed by geriatric in-patients, hospitalized in the geriatric department, and also by community-dwelling older adults. Results: Geriatric in-patients' use of computers and the internet was associated with age (every year of age decreased the probability of computer and internet use by 0.9-times) and a positive attitude towards new technologies-this predictor increased the use of a computer by six-times in comparison with people who did not have such an attitude. Sex and education had no influence on computer use for geriatric in-patients. For community-dwelling older adults, the use of computers and internet was associated with age, education (a university education increased the use of computers and the internet by four times), and a positive attitude towards technologies. Conclusions: Lithuanian older women in the study used computers, the internet, and cell phones equally with men. Increasing age was a strong negative predictor of technology use. A positive attitude to new technologies was a strong positive predictor of technology use. Most geriatric patients and community-dwelling older adults were ready to use technologies that permit ageing in place.

Relevance of Activity Tracking With Mobile Devices in the Relationship Between Physical Activity Levels and Satisfaction With Physical Fitness in Older Adults: Representative Survey

Background

Physical activity has been shown to positively affect many aspects of life, and the positive relationship between physical activity levels and health is well established. Recently, research on the interrelationship between physical activity levels and subjective experiences has gained attention. However, the underlying mechanisms that link physical activity levels with subjective experiences of physical fitness have not been sufficiently explained.

Objective

This study aimed to explore the role of physical activity tracking (PAT) in the relationship between physical activity levels and satisfaction with physical fitness in older adults. It is hypothesized that higher levels of physical activity are associated with a higher satisfaction with physical fitness in older adults and that this positive association is stronger for older people who use mobile devices for PAT.

Methods

As part of this study, 1013 participants aged 50 years or older and living in Switzerland were interviewed via computer-assisted telephone interviews. Bivariate and multivariate analyses were applied. The interaction effects between physical activity levels and PAT were evaluated using multiple linear regression analysis.

Results

Descriptive analyses showed that 719 participants used at least 1 mobile device and that 136 out of 719 mobile device users (18.9%) used mobile devices for PAT. In the multivariate regression analysis, frequent physical activity was found to have a positive effect on satisfaction with physical fitness (beta=.24, P<.001). A significant interaction effect between physical activity levels and PAT (beta=.30, P=.03) provides some first evidence that the positive effects of physical activity on satisfaction with physical fitness can be enhanced by PAT.

Conclusions

The results indicate the potential of PAT to enhance the physical fitness of older adults. However, the results also raise new issues in this context. Recommendations for further research and practice include the acquisition of longitudinal data, a more detailed observation of durations of use, and the development of devices for PAT considering health psychology and gerontology theories.

Willingness of Older Adults to Share Mobile Health Data with Researchers

Abstract. This study explored the use of wearable devices to track self-recorded health data and the willingness to share this data with researchers. Participants aged ≥ 50 years (n = 1,013) were interviewed in a representative telephone survey. Results indicated that 43.3% of all participants used one or more mobile devices (activity tracker, smartwatch, smartphone, or tablet), and that 27.6% used those devices for the purposes of recording health data. Additionally, 57.2% of the participants who tracked their health data were willing to share it with researchers. Income significantly contributed to predicting this willingness, whereas other independent variables were not significant predictors. This study indicates a relatively positive overall willingness to share self-recorded mobile health data with the science community.

The use of mobile devices for physical activity tracking in older adults' everyday life

OBJECTIVE

The 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.

METHODS

Participants 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.

RESULTS

Descriptive 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.

CONCLUSIONS

The 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.