Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet

In this study, a scoping review method is used to review the distribution and trends in health promotion research and explore the use and contribution of eHealth technologies in health promotion in the elderly. The study includes six search databases: PubMed, CINAHL, the CochraneLibrary, EMBASE, PubPsych, and ERIC (EBSCOhost), and studies published from January 2015 to October 2019, written in English, were included and analyzed. The findings of the study reveal that the amount of literature on promoting health for the elderly has increased, and some specific types of interventions are still favored in current health promotion efforts for older adults. The most commonly used methods were found to be health promotion (n = 322), followed by screening (n = 264), primary prevention (n = 114), and finally social support (n = 72). Beyond the above interventions, eHealth technology is also used in health promotion activities to prevent the elderly from falling and to improve home safety, etc. However, although the application of eHealth technology has been applied in areas such as fall prevention, mental health promotion, and home security monitoring, it is still immature, and thus more rigorous research is needed in different areas, especially in older populations, various professions, women, and people with dementia.

Background: In recent years, robots have been considered a new tech industry that can be used to solve the shortage in human resources in the field of health care. Also, animal-assisted therapy has been used to provide assistance, companionship, and interaction among the elderly and has been shown to have a positive impact on their emotional and psychological well-being. Both pets and robots can provide dynamic communication and positive interaction patterns. However, preferences for middle-aged and older adults in this regard are not clear. Objective: This study explored the degree of acceptance of robots and pets as partners in later life and to determine the needs and preferences of elderly individuals related to companion robots. Methods: A total of 273 middle-aged and older adults aged ≥45 years and living in the community were invited to answer a structured questionnaire after watching a companion robot video. Sociodemographic data, physical health status and activities, experience with technology, eHealth literacy, and acceptance and attitude toward robots and pets were recorded and analyzed using multinomial logistic regression analysis. Results: Age, level of education, type of dwelling, occupation, retirement status, number of comorbidities, experience with pets, experience using apps, and eHealth literacy were significantly associated with acceptance of robots and pets. Middle-aged and older women preferred robots with an animal-like appearance, while men preferred robots that resembled a human adult. In terms of robot functions, participants preferred a companion robot with dancing, singing, storytelling, or news-reporting functions. Participants’ marital status and whether or not they lived alone affected their preference of functions in the companion robot. Conclusions: Findings from this study inform the development of social robots with regard to their appearance and functions to address loneliness in later life in fast-aging societies.

Background: Although previous studies have explored the effect of chronic conditions on physical disability, little is known about the levels and rates of change in physical disability after a chronic condition diagnosis in middle-aged and older adults in the Asian population. The aim of this study is to ascertain the average levels and rates of change in the development of disability after disease diagnosis, as well as to determine the influences of sociodemographic and health-related correlates in the development of disability. Methods: This is a retrospective cohort study analyzing data of nationally representative participants aged 50 and over with a chronic condition or having developed one during follow-ups based on data from the 1996–2011 Taiwan Longitudinal Study on Aging (TLSA) (n = 5131). Seven chronic conditions were examined. Covariates included age at initial diagnosis, gender, education level, number of comorbidities, and depression status. Physical disability was measured by combining self-reported ADL, IADL, and strength and mobility activities with 17 total possible points, further analyzed with multilevel modeling. Results: The results showed that (1) physical disability was highest for stroke, followed by cancer and diabetes at the time of the initial disease diagnosis. (2) The linear rate of change was highest for stroke, followed by lung disease and heart disease, indicating that these diseases led to higher steady increases in physical disability after the disease diagnosis. (3) The quadratic rate of change was highest in diabetes, followed by cancer and hypertension, indicating that these diseases had led to higher increments of physical disability in later stage disease. After controlling for sociodemographic and comorbidity, depression status accounted for 39.9–73.6% and 37.9–100% of the variances in the physical disability intercept and change over time, respectively. Conclusions: Despite the fact that a comparison across conditions was not statistically tested, an accelerated increase in physical disabilities was found as chronic conditions progressed. While stroke and cancer lead to disability immediately, conditions such as diabetes, cancer, and hypertension give rise to higher increments of physical disability in later stage disease. Mitigating depressive symptoms may be beneficial in terms of preventing disability development in this population.