Information and Communication Technology Use for Alleviation of Disability Onset in Socially Isolated Older Adults: A Longitudinal Cohort Study.

INTRODUCTION: Delaying the onset of disability is important for maintaining independence and quality of life in community-dwelling older adults. Given that social isolation is a significant risk factor for disability, effective means associated with social isolation are needed to alleviate disability. Although information and communication technology (ICT) may be a reasonable measure considering the recent social contexts due to the coronavirus disease 2019 pandemic, further insights are required. This study aimed to investigate whether ICT use can alleviate the onset of disability in community-dwelling older adults with and without social isolation. METHODS: This longitudinal cohort study on 4,346 community-dwelling independent Japanese older adults (mean age, 73.5 ± 5.3 years) was conducted between 2017 and 2018. Participants were classified into four groups based on social isolation (the condition where two or more of the following measures were met: domestic isolation, less social contact, and social disengagement) and ICT users (those who had recently used a computer or a smartphone) and followed up to assess disability incidence for 24 months after baseline assessments. Cox proportional-hazards regression models were used to identify the effect of social isolation and ICT use on the risk of disability onset by adjusting for age, sex, education history, number of medications, eye disease, level of annual income, Mini-Mental State Examination, Geriatric Depression Scale 15, and gait speed. RESULTS: The group comprised nonsocial isolation and ICT users (44.7%), social isolation and ICT users (5.4%), nonsocial isolation and ICT nonusers (41.7%), and social isolation and ICT nonusers (8.2%). At the follow-up, 2.2%, 2.4%, 5.5%, and 12.4% of the participants in the above order developed disability (p < 0.01). Cox regression models revealed a significantly higher risk of disability onset in the social isolation and ICT nonusers group than in the social isolation and ICT users group (HR = 2.939; 95% confidence interval (CI) 1.029-8.397; p = 0.044). In the subgroup analysis stratified by social isolation, ICT use significantly reduced the risk of disability onset in the socially isolated group (HR = 0.320; 95% CI 0.109-0.943; p = 0.039), although the same association was not observed in the nonsocially isolated group (HR = 0.845; 95% CI 0.565-1.264; p = 0.411). CONCLUSION: ICT use can alleviate the onset of disability in socially isolated older adults in a community setting. Considering ICT-applied methods for alleviating disability is beneficial for older adults in social isolation.

Association between COVID-19 emergency declarations and physical activity among community-dwelling older adults enrolled in a physical activity measurement program: Evidence from a retrospective observational study using the regression discontinuity design.

BACKGROUND: The current study examines the negative impact of the coronavirus disease 2019 (COVID-19) emergency declarations on physical activity among the community-dwelling older adults, the participants of a physical activity measurement program, in Japan. METHODS: This retrospective observational study included 1,773 community-dwelling older adults (aged 74.6 ± 6.3 years, 53.9% women) who had participated in the physical activity measurement project from February 2020 to July 2021. We measured physical activity using a tri-axial accelerometer during 547 consecutive days. Three emergency declarations, requesting people to avoid going outside, occurred during the observational period. We multiply-imputed missing values for daily physical activity, such as steps, light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) for several patterns of datasets according to the maximum missing rates on a person level. We mainly report the results based on less than 50% of the maximum missing rate (n = 1,056). Other results are reported in the supplemental file. Changes in physical activity before and after the start of each emergency declaration were examined by the regression discontinuity design (RDD) within 14-, 28-, and 56-day bandwidths. RESULTS: For all the participants in the multiply-imputed data with the 14-day bandwidth, steps (coefficients [[Formula: see text]][Formula: see text] 964.3 steps), LPA ([Formula: see text] 5.5 min), and MVPA ([Formula: see text] 4.9 min) increased after the first emergency declaration. However, the effects were attenuated as the RDD bandwidths were widened. No consistent negative impact was observed after the second and third declarations. After the second declaration, steps ([Formula: see text]-609.7 steps), LPA ([Formula: see text]-4.6 min), and MVPA ([Formula: see text]-2.8 min) decreased with the 14-day bandwidth. On the other hand, steps ([Formula: see text] 143.8 steps) and MVPA ([Formula: see text] 1.3 min) increased with the 56-day bandwidth. For the third declaration, LPA consistently decreased with all the bandwidths ([Formula: see text]-2.1, -3.0, -0.8 min for the 14, 28, 56-day bandwidth), whereas steps ([Formula: see text]-529 steps) and MVPA ([Formula: see text]-2.6 min) decreased only with the 28-day bandwidth. CONCLUSIONS: For the community-dwelling older adults who regularly self-monitor their physical activity, the current study concludes that there is no evidence of consistently negative impacts of the emergency declarations by the COVID-19 pandemic.

Association of social isolation and smartphone use on cognitive functions.

BACKGROUND: The number of socially isolated older adults has increased owing to the coronavirus disease pandemic, thus leading to a decrease in cognitive functions among this group. Smartphone use is expected to be a reasonable preventive measure against cognitive decline in this social context. Thus, this study aimed to investigate the influence of social isolation and smartphone use on cognitive functions in community-dwelling older adults. METHODS: We divided 4,601 community-dwelling older adults into four groups based on their levels of social isolation and smartphone use. Then, we conducted cognitive functions tests including a word list memory task, trail-making test, and symbol digit substitution task. Social isolation was defined when participants met two or more of the following measures: domestic isolation, less social contact, and social disengagement. We used an analysis of covariance adjusted by background information to measure between-group differences in levels of cognitive functions and social isolation. A linear regression model was used to analyze the association of standardized scores of cognitive function tests with smartphone use. RESULTS: Smartphone users' scores of the symbol digit substitution task were superior compared with both non-users with social isolation and without. All cognitive functions were associated with smartphone use among non-socially and socially isolated participants. Socially isolated older adults showed an association only between trail making test- part A and smartphone use. CONCLUSIONS: Smartphone use was associated with cognitive functions (memory, attentional function, executive function, and processing speed) even in socially isolated community-dwelling older adults.

Are non-face-to-face interactions an effective strategy for maintaining mental and physical health?

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has led to social isolation measures, forcing many people to stay indoors, stop daily outdoor activities, and limit face-to-face social interactions with friends, colleagues, and family. This study aimed to identify if non-face-to-face interaction affects depressive symptoms and frailty in older adults. METHODS: We included 3834 older adults (age: 71.1 ± 6.9 [mean ± standard deviation] years; range: 60-96 years; 2153 women) from the National Center for Geriatrics and Gerontology-Study of Geriatric Syndromes. Interaction status was assessed using a self-reported questionnaire. Participants were categorized into: "both interactions" (both face-to-face and non-face-to-face interactions), "face-to-face only" (only face-to-face interactions), "non-face-to-face only" (only non-face-to-face interactions), "no interactions" (neither face-to-face nor non-face-to-face interactions) groups. Depressive symptoms and frailty were measured using the 15-item Geriatric Depression Scale and Kihon Checklist, respectively. RESULTS: Potential confounding factors-adjusted odds ratios for both, face-to-face only and non-face-to-face only groups for developing depressive symptoms were 0.39 (95%CI, 0.26-0.57; p<0.001), 0.56 (95%CI, 0.38-0.84; p=0.004), and 0.51 (95%CI, 0.27-0.96; p=0.038), respectively, and those for development of frailty were 0.44 (95%CI, 0.30-0.65; p<0.001), 0.59 (95%CI, 0.39-0.87; p=0.008), and 0.63 (95%CI, 0.34-1.15; p=0.128), respectively. CONCLUSIONS: Our findings indicate that non-face-to-face interactions are also important in preventing the deterioration of mental health, which is a concern during the COVID-19 pandemic. However, non-face-to-face interactions alone may not be sufficient to maintain physical health, and it is important to maintain opportunities for face-to-face interaction among older adults, particularly during the COVID-19 pandemic.