Can Online Communication Prevent Depression Among Older People? A Longitudinal Analysis

Internet use patterns and their relationship with frailty in older Japanese adults

BACKGROUND

Internet use is increasing among older adults worldwide, raising interest in its potential empowering effects on healthy aging. However, the relationship between internet use and frailty among older adults remains underexplored.

METHODS

We conducted a postal survey between February and March 2021 in Osaka, Japan. The survey included 1,288 respondents aged ≥ 65 years, yielding a response rate of 71.6%. Internet use patterns were divided based on the frequencies of 8 internet use activities using a k-means cluster analysis. Frailty was assessed using the Japanese Kihon Checklist with a cut-off score of ≥ 8 defining a frail status. Covariates included age, sex, living alone, economic status, work, multimorbidity, smoking, and physical activity. We employed logistic regression models to investigate the associations. Stratified analyses were also conducted by sex and age (65-74 years, ≥ 75 years).

RESULTS

After excluding individuals with incomplete data on internet use or long-term care users or living a nursing home, we analyzed 908 participants (45.42% female, average age 73.74 years, 25.37% frail). The K-means cluster analysis identified three internet use patterns: "less use" (n = 478), "social use" (n = 261), and "functional use" (n = 169). Logistic regressions with less use as a reference showed a negative relationship between social use and frailty (adjusted OR, 0.54; 95% CI, 0.35-0.84). The stratified analysis revealed significant relationships between social use and frailty only in males aged 65-74 years and females ≥ 75 years. A relationship was not observed between functional use and frailty.

CONCLUSIONS

We confirmed the segmentation of internet use patterns and its associations with frailty in older populations, noting age-sex differences. The heterogeneity in the association between internet use and frailty provides evidence for the incorporation of digital technology into health care for older adults, highlighting its role in enhancing social interaction. These findings are cross-sectional, which limits causal inference. Further longitudinal study is needed.

Challenges faced by older adults caring for their parents and their relationship with depressive status: Examining internet use as a moderator

Amid accelerating population ageing, China has witnessed a growing number of caregivers aged 60 and over. Older adults caring for their parents may represent a notable family caregiving paradigm in the longevity era, yet their unique challenges and associated health impacts deserve more attention. Using two waves of data from the China Longitudinal Aging Social Survey (CLASS) in 2018 and 2020, this study explored caregiving challenges among older adults caring for their parents, analyzed associations between these challenges and depressive status, and finally examined the moderating role of internet use. Results showed that more than half of older caregivers experienced challenges such as physical strain, long distance and lack of time. Multivariate analyses demonstrated that caregiving challenges, especially physical strain, significantly exacerbated depressive status among older adults. Notably, internet use emerged as a significant moderator post-COVID-19 pandemic. This study calls for expanded research on this vulnerable yet crucial caregiving groups and highlights the urgency and accuracy of targeted policy interventions to address challenge-specific needs.

Internet Use and Depressive Symptoms among Older Adults in the U.S.: Unraveling the Differences by Gender

The daily Internet use among older adults has increased. This study examines how Internet usage affects depressive symptoms among older adults, focusing on gender differences. Using data from the 2015 National Health and Aging Trends Study (N = 6380), weighted multinomial logistic regression analysis was conducted. Men tended to access the Internet more for instrumental purposes and health-related matters compared to women. Conversely, women used social networking sites (SNSs) more frequently. Men were more inclined to use the Internet for personal tasks and health concerns than women. SNS use was positively associated with mild and major depression in men, while email or texting was negatively linked to their major depression. Internet use for health matters was negatively associated with major depression in women. The discussion emphasizes potential service and policy innovations aimed at leveraging digital technology to improve the mental health of older individuals, considering gender differences.

Association Between Visual Impairment and Daily Internet Use Among Older Japanese Individuals: Cross-Sectional Questionnaire Study

Background

Older adults might not use computers due to psychological barriers, environmental barriers such as not owning a computer or lack of internet access, and health-related barriers such as difficulties with fine motor skills, low cognitive function, or low vision. Given the health benefits of internet use among older adults, inadequate use of the internet is an urgent public health issue in many countries.

Objective

We aimed to determine whether visual impairment is associated with internet use in a population-based sample of older adults.

Methods

This cross-sectional study sourced data for the year 2016 from the Japan Gerontological Evaluation Study. It included functionally independent community-dwelling individuals aged ≥65 years (N=19,452) in Japan. The respondents reported their visual status by answering the question, "Is your eyesight (without or with usual glasses or corrective lenses) excellent, very good, good, fair, or poor?" We defined "internet user" as a person who uses the internet "almost daily." We used multivariate logistic regression with multiple imputations to analyze visual status, daily internet use, and any correlations between them.

Results

We observed that 23.6% (4599/19,452) of respondents used the internet almost daily. Respondents with good visual status notably tended to use the internet more frequently than those with poor visual status. Specifically, 13% and 31% of respondents with poor and excellent vision, respectively, used the internet almost daily. In contrast, 66% and 45% of respondents with poor and excellent vision, respectively, did not use the internet. Even after adjusting for several covariates (age, sex, equivalized income, years of education, marital status, depression, history of systemic comorbidities, frequency of meeting friends, and total social participation score), significant associations persisted between visual status and daily internet usage. The odds ratios (ORs) tended to increase as visual status improved (P for trend <.001). The adjusted ORs for individuals with excellent and very good visual status who used the internet almost daily were 1.38 (95% CI 1.22-1.56) and 1.25 (95% CI 1.15-1.36), respectively. Conversely, the adjusted OR for those with fair or poor visual status was 0.73 (95% CI 0.62-0.86).

Conclusions

In this study, we reaffirmed what several previous studies have pointed out using a very large dataset; visual impairment negatively impacted daily internet use by older adults. This highlights the need to address visual impairments to promote web use as health care services become more easily accessed on the web.

The association between living alone and depressive symptoms in older adults population: evidence from the China Health and Retirement Longitudinal Study

Objective

The goal of this research was to reveal the association between living alone and depressive symptoms in older adults. It also aims to explore the mediating role of social activity and adult children's relationship satisfaction. Ultimately, the study seeks to add to the body of knowledge for lowering the risk of depression among older people and promoting positive aging.

Methods

Based on information from the 2020 China Health and Retirement Longitudinal Study, the ordinary least square (OLS) regression model and propensity score matching (PSM) were used to investigate the association between living alone and depressive symptoms in older adults and to explore possible heterogeneity in different groups. Utilizing the SPSS PROCESS macro application, the mediation model was constructed. The significance of the mediation effect was investigated using the Bootstrap technique.

Results

The average level of depressive symptoms of older people living alone (10.55 ± 6.962) was higher than that of older people who do not live alone (8.80 ± 6.363). The baseline regression analysis revealed a significant connection between living alone and the depressive symptoms of older people (β = 0.842, p < 0.001). The association between living alone and the level of depressive symptoms was significantly higher in those aged 60-74 years (β = 1.698, p < 0.001) than in those aged 75 and older (β = 0.953, p < 0.05). The association between living alone and depressive symptoms was significantly higher in rural older adults (β = 1.512, p < 0.001) than in urban older adults (β = 1.141, p < 0.001). Between living alone and the level of depressive symptoms experienced by older people, there was a substantial mediation impact on social engagement and adult children's relationship satisfaction, which contributed to 2.91 and 13.62% of the overall effect.

Conclusion

For older age groups, living alone is associated with higher levels of depressive symptoms. This effect is stronger in older adults aged 60-74 or rural areas. In older age groups, the association between living alone and depressive symptoms is mediated by social activity and adult children's relationship satisfaction.

Association between Internet use and depression among older adults in China: the chain-mediating role of volunteer activity participation and friend network

Background

Depression is a significant burden on individuals and society, which requires our attention and action. As the aging wave collides with digitalization, further research is needed to understand how internet use relates to depression in older adults. This study aimed to investigate whether volunteer activity participation and friend networks played a chain mediating role in this relationship from the perspective of the socioemotional selectivity theory.

Method

This study's data was derived from the 2018 China Longitudinal Aging Social Survey (CLASS), comprising 5,558 samples. The study employed the OLS model for benchmark regression and multiple robust check methods, including altering variable settings and utilizing the instrumental variable model. In addition, the generalized structural equation model (GSEM) was used to analyze the mechanism.

Result

Using the internet was significantly associated with reduced depression in older adults (coefficient = -0.9321, p < 0.001). The instrumental variable model confirmed this reduction (coefficient = -0.9200, p < 0.001). Moreover, we found that there were three indirect pathways of Internet use on depression among older adults: the mediating role of volunteer activity participation (all p-values <0.001), the mediating role of friend network (all p-values <0.001), and the chain mediating role of both factors (all p-values <0.001).

Conclusion

Based on the research findings, we suggest mobilizing tech-savvy older adults to assist others in adopting digital technology and using the internet. We also suggest that the government could assist in creating older adult-friendly communities. Social workers could collaborate with tech-savvy older adults to organize various voluntary activities, encouraging more senior citizens to participate. In addition, we recommend that the community should consider the form of activities to help older adults make friends first rather than solely focusing on voluntary activities.

Internet Use and Higher-Level Functional Capacity Decline Suppression in Japanese Older Adults With Low Education: JAGES 2016-2019 Longitudinal Study

BACKGROUND

Higher-level functional capacity (HLFC) is crucial for the independent living of older adults. While internet use positively impacts the health of older adults, its effect on HLFC and how this effect varies with educational attainment remains uncertain.

OBJECTIVE

This longitudinal study aimed to investigate whether internet use could mitigate the risk of HLFC decline and if this benefit extends to older adults with lower levels of education.

METHODS

The data were sourced from the Japan Gerontological Evaluation Study (JAGES), encompassing 8050 community-dwelling adults aged 65 years and older from 2016 to 2019. The study focused on those who remained self-sufficient from 2016 to 2019, identifying participants with independent HLFC in 2016. The Tokyo Metropolitan Institute of Gerontology Index of Competence defined HLFC operationally, consisting of 3 subscales, namely instrumental activities of daily living, intellectual activity, and social role. The primary variable was the frequency of internet use in 2016; participants who reported using the internet were classified as internet users, while those who answered "No" were identified as nonusers. The study compared the effects of internet use on HLFC decline across educational levels of ≤9 years, 10-12 years, and ≥13 years using Poisson regression analysis adjusted for robust SE to calculate the risk ratio (RR) and 95% CI for HLFC decline in 2019.

RESULTS

After adjusting for demographic and health condition risk factors, internet use was significantly linked to a decreased risk of HLFC decline in older adults over 3 years, including those with lower educational levels. Internet users with ≤9 years of educational attainment experienced a suppressed decline in the total score (RR 0.57, 95% CI 0.43-0.76; P<.001); instrumental activities of daily living (RR 0.58, 95% CI 0.38-0.91; P=.02), intellectual activity (RR 0.60, 95% CI 0.41-0.89; P=.01), and social role (RR 0.74, 95% CI 0.56-0.97; P=.03) compared with nonusers. Participants with 10-12 years of education showed suppression rates of 0.78 (95% CI 0.63-0.98; P=.03), 0.59 (95% CI 0.39-0.90; P=.01), 0.91 (95% CI 0.63-1.31; P=.61), and 0.82 (95% CI 0.68-1.00; P=.05), respectively, and those with ≥13 years displayed suppression rates of 0.65 (95% CI 0.51-0.85; P=.001), 0.55 (95% CI 0.36-0.83; P=.01), 0.64 (95% CI 0.37-1.10; P=.11), and 0.83 (95% CI 0.64-1.08; P=.17), respectively.

CONCLUSIONS

These findings indicate that internet use supports the maintenance of HLFC independence in older adults with higher education and those with lower educational levels. Encouraging internet use among older adults with lower levels of education through future policies could help narrow functional health disparities associated with educational attainment.

Diversity of purposes of use, time spent online, and depression among older Chinese Internet users

Objectives: Previous studies on the associations between Internet use and older people's depression have mostly focused on single types of online activities, especially online social engagement. The current study investigated the diversity of purposes of Internet use and its interaction with the time spent online in shaping older Chinese Internet users' depression.

Method: A sample of 974 Internet users aged 60 and above was adopted from the 2020 China Family Panel Studies wave. We adopted a latent class analysis (LCA) to explore the diverse purposes of internet usage.

Results: The participants were classified into three distinct types: socializers, basic users, and maximizers. Basic users and maximizers use the Internet for various purposes, despite different intensities; socializers use the Internet only to keep connected with families and friends. Compared with basic users and maximizers, a longer time spent online among socializers was significantly associated with a higher level of depression.

Conclusion: This study calls for a closer examination of online profiles among older Internet users; more attention should be paid to the potential harms of excessive Internet use for social reasons only among older adults. Practitioners should enhance older Internet users' digital literacy to maximize the wide-range benefits of Internet use and reduce potential health inequality.

The relationship between social media use and psychosocial outcomes in older adults: A systematic review

OBJECTIVES

Social isolation and loneliness are prevalent in older adults and are detrimental to physical and mental health. Social media use has been shown to be effective in maintaining social connections and improving older adults' psychosocial outcomes. This study aimed to systematically review and synthesize current research on this topic.

DESIGN

Searches were conducted in November 2021 (and updated in October 2023) in PsycINFO, PubMed, and CINAHL. Inclusion criteria: (1) participants ≥ 65 years (mean, median, or minimum age) and (2) reported impact of social media use on psychosocial outcomes (including loneliness, depression, anxiety, social connectedness, wellbeing, life satisfaction, and quality of life). Quality appraisal tools were utilized, and results were synthesized using narrative synthesis.

RESULTS

Sixty-four papers met inclusion criteria, including cross-sectional (n = 38), observational longitudinal (n = 6), interventional (n = 9), mixed-methods (n = 4), and qualitative (n = 7) studies. Participant numbers ranged from 6 to 16,925. While associations between social media use and positive psychosocial outcomes were generally reported in cross-sectional studies, the impact of social media use over time from longitudinal studies was mixed and inconclusive.

CONCLUSIONS

While social media use is associated with positive psychosocial outcomes, casual conclusions cannot be drawn. Few longitudinal and randomized controlled trial studies existed, and these reported mixed findings. Large variations in study methodology including participants, measurement of social media use, and outcome measures contributed to the inconsistencies of findings. Addressing this heterogeneity through standardized approaches and more rigorous research may enhance understanding.

Perceived Overload on Short Video Platforms and Its Influence on Mental Health Among the Elderly: A Moderated Mediation Model

Background

In the post-epidemic era, the problem of short-video app addiction among older adults has become increasingly prominent, and people have begun to pay attention to the negative emotional and psychological consequences of Perceived Overload of short-video apps. Given the growing mental health concerns of older adults, it is critical to understand the potential relationship between the Perceived Overload of short video apps for older adults and older adults' mental health.

Methods

This study applied the stress-strain-outcome (SSO) framework to explore the relationship between perceived overload of a short-video application and loneliness, mental health, and Confucianism tenets in 1300 Chinese older adults. The relationship between perceived overload and loneliness, mental health, and Confucianism tenet moderated mediation models of perceived overload and mental health were created using SPSS 26.0 and PROCESS 4.1 for SPSS.

Results

The perceived overload of a short video application for older adults directly predicted loneliness and mental health in older adults, and the Confucianism tenet moderated the mediation process between perceived overload and mental health. Perceived overload affects mental health through loneliness in older adults.

Discussion

The results of this study are of practical significance for understanding the current problem of short-video addiction among older adults. Understanding the effects of perceived overload on older adults' loneliness and mental health can help prevent loneliness and mental health problems caused by short-video addiction among older adults on the one hand, and on the other hand, it can also help to develop targeted coping strategies and create psychological intervention programs based on the Confucianism tenet of intervention ethics to improve mental health in a changing technological stress environment.

Association between internet use and self-rated health of patients living with diabetes in the community

Objective

It is not clear whether self-rated health is associated with internet use among community-dwelling patients living with diabetes. This study investigated what kind and level of use of the internet is desirable for the subjective sense of health among patients living with diabetes in the community.

Research Design and Methods

This was a cross-sectional study of patients living with diabetes aged 18 years or older who visited our clinic between April 2022 and June 2022. The final analysis included 654 subjects (mean age: 56-90 years). The objective variable was self-rated health, and the explanatory variable was purpose of internet use. We used logistic regression analysis to identify odds ratios (ORs) and 95% confidence intervals (CIs) for the association between internet use and self-rated health by purpose of internet use.

Results

Of the 654 patients living with diabetes using our clinic, 488 (64.7%) were internet users. Communication with friends/family (66.6%) was the most common use of the internet, followed by social media (54.3%) and shopping (36.7%). Logistic regression models showed that social media (OR: 1.81; 95% CI [1.02, 3.21], p = 0.04), shopping for food and other items (OR: 1.95; 95% CI [1.00, 3.77], p = 0.04), online securities and banking (OR: 2.75; 95% CI [1.02, 7.39], p = 0.04) were associated with self-rated health.

Conclusions

Using the internet for social media, shopping, and banking were found to be associated with self-rated health. Use for these purposes could help support diabetic care.

Age-gender differences in the relationships between physical and mental health

Previous studies have identified that smoking, exercise and breadth of social interaction mediate the strong associations between physical and mental health. However, these studies have been restricted to older populations, have not explored differences by gender, and have not considered online social interaction. We explore how the effects of four mediators (exercise, smoking, in-person and online social interaction) of the two-way relationships between past and future physical and mental health vary across eight age and gender groups. We use data from a representative sample of the UK population consisting of 175,779 observations on 41,995 adults from Understanding Society (UKHLS) between 2009 and 2019. Within a mediation framework, we estimate the percentage of the total effects that can be explained by the proposed mediating factors. We show that exercise, smoking, in-person and online social interaction are significant mediators of the effect of mental health on future physical health. In-person social interaction is the largest of these, accounting for 2.3% of the total effect. Smoking, in-person and online interaction are significant mediators of the effect of physical health on future mental health. Again, in-person interaction is the largest of these, accounting for 3.0% of the total effect. The percentages of the total effects mediated by each factor differ substantially by age and gender. Seeking to avoid the harmful effects of poor physical health on future mental health should focus on increasing physical activity in older men, and on increasing in-person social interaction in both men and women. Seeking to avoid the harmful effects of poor mental health on future physical health should focus on increasing physical activity and in-person social interaction in older men and women, and on reducing smoking in younger men and women.

Does online communication mitigate the association between a decrease in face-to-face communication and laughter during the COVID-19 pandemic? A cross-sectional study from JACSIS study

Laughter has a protective effect on human health. The spread of coronavirus disease 2019 (COVID-19) has changed opportunities for face-to-face communication and might decrease opportunities for laughter. This cross-sectional study aimed to investigate whether the decrease in face-to-face communication during the COVID-19 pandemic is associated with a decrease in laughter. Additionally, we investigated whether an increase in online communication mitigates this association. Data from the "Japan COVID-19 and Society Internet Survey (JACSIS)," conducted between August and September 2020, were used. Participants aged 15-79 years were included in this study. The outcome was a decrease in laughter before the onset of the COVID-19 pandemic. The explanatory variables were decreased face-to-face communication with friends and increased online communication (text message, telephone, and video contact). Causal mediation analysis was used to calculate prevalence ratios (PRs) and 95 % confidence intervals (CIs) of the controlled direct effects of increased online communication. Furthermore, the proportions eliminated (PEs) by an increase in online communication were calculated. Among the 25,482 participants, 40.4 % had decreased face-to-face communication and 21.4 % had a decreased frequency of laughter. After adjusting for confounders, a decrease in face-to-face communication was significantly associated with a decrease in laughter (PR = 1.62, 95 %CI = 1.55-1.70). PEs for decrease in laughter were 27.2 % (95 %CI = -2.0 to 56.4) for text-based communication, 36.1 % (95 %CI = 12.3-59.8) for telephone-based communication, and 28.6 % (95 %CI = 0.6-56.6) for video-based communication. Although a decrease in face-to-face communication was associated with a decrease in laughter during the COVID-19 pandemic, online communication, particularly telephone-based communication, mitigated this association.

Association between internet use and depressive symptoms among older adults: mediating role of daytime napping and moderating role of productive engagement

OBJECTIVES

This study investigated the mediating role of daytime napping in the relationship between internet use and depressive symptoms among older adults. Further the moderating effect of productive engagement was assessed on the linkage between internet use and depressive symptoms.

METHODS

We surveyed 956 Chinese community-dwelling older adults. Respondents reported their internet use for different purposes (social, informational, and instrumental use), rated their levels of depressive symptoms and of daytime napping, and reported different types of/overall productive engagement. We conducted mediation and moderation analyses to test the potential pathways of associations among those factors.

RESULTS

Daytime napping mediated the association between social and informational internet use and depressive symptoms. Family caregiving, sporting activities, and overall productive engagement each moderated the relationship between internet use and depressive symptoms.

CONCLUSION

Internet use can increase the risk of depressive symptoms in older adults by increasing daytime napping. However, the benefits of internet use can be particularly salient for those who have a low level of productive engagement. The findings have implications for policies and practices that are designed to help older adults access the internet to enhance well-being.

Internet accessibility and incident depressive symptoms in middle aged and older adults in China: A national longitudinal cohort study

BACKGROUND

With the rapid development of the Internet over the past ten years, its widespread applications and accessibility may cause dynamic changes in the association between internet use and depressive symptoms.

OBJECTIVE

We aim to explore the association between internet accessibility (including broadband connection, internet use, frequency, and devices for internet use), as well as its changes, and the risk of incident depressive symptoms for middle aged and older adults based on a cohort study.

METHODS

8772 participants with three repeat waves of follow-up (average 6.04 years) were included. Cox proportional hazards regressions were used to explore risk effects. Hazard ratios (HRs) and 95 % Confidence Intervals [CI] were presented.

RESULTS

Incidence density for depressive symptoms was 53.89 for every 1000 person-years. The rate of internet usage by middle aged and older adults in China increased evidently from 2012 to 2018 (16.39 % vs 77.41 %). Broadband internet connection (BIC) (HR = 0.80, 95%CI: 0.71, 0.90) and moderate frequency of internet use (IU) (HR = 0.30, 95%CI: 0.10, 0.92) were associated with decreased risk of depressive symptoms. Participants who changed from no internet accessibility to internet accessibility were associated with a lower risk of depressive symptoms (BIC: HR = 0.46, 95%CI: 0.41, 0.51; IU: HR = 0.42, 95%CI: 0.34, 0.51). Using large screen devices (HR = 0.64, 95%CI: 0.45, 0.91) for internet access, instead of phones, was associated with lower risk of depressive symptoms.

CONCLUSIONS

Older adults should be encouraged to use the Internet; online time, frequency, and devices for internet use should be considered simultaneously.

Mediating effect of depressive symptoms on the relationship between digital literacy and cognitive function in older adults

Introduction

Although several studies have examined the individual relationships among digital literacy, cognitive function, and depressive symptoms, few have integrated all three factors into a single model. This study aimed to address this gap by investigating the mediating effect of depressive symptoms on the relationship between digital literacy and cognition. In doing so, we hoped to contribute to a more comprehensive understanding of the complex interplay among these variables and their implications for mental health and well-being.

Methods

Participants were 7,988 older adults (65 years or older) who participated in the Living Profiles of Older People Survey 2020. The main type of exposure was digital literacy (communication, information, media, and online transaction literacy). The main outcomes were depressive symptoms measured using the Short Geriatric Depression Scale of Korean version and cognitive function measured using the Mini-Mental State Examination score. Multiple linear regression and mediation analyses were also performed.

Results

After adjusting for covariates, our analysis found a significant association between digital literacy and both depressive symptoms and cognitive function (β of four types of digital literacy and depressive symptoms = -0.123, -0.172, -0.702, and - 0.639, respectively; β of four types of digital literacy and cognitive function = 2.102, 2.217, 1.711, and 1.436, respectively). Moreover, our study showed that depressive symptoms play a mediating role in the relationship between media and online transaction literacy and cognitive function (95% CI of indirect effects = 0.0647-0.1212 and 0.0639-0.1277, respectively), implying an indirect pathway (digital literacy, depressive symptoms, and cognitive function).

Discussion

This study sheds light on the relationship between digital literacy, depressive symptoms, and cognitive function in older adults. We found that depressive symptoms mediated the association between specific aspects of digital literacy (online transaction and media literacy) and cognitive function. Our results indicate that community-based digital literacy programs could be effective in reducing depression and preserving or improving cognitive function in older adults.

Information Cocoons on Short Video Platforms and Its Influence on Depression Among the Elderly: A Moderated Mediation Model

Background

As the elderly increasingly engage with new media, particularly short video platforms, concerns are arising about the formation of "information cocoons" that limit exposure to diverse perspectives. While the impact of these cocoons on society has been investigated, their effects on the mental well-being of the elderly remain understudied. Given the prevalence of depression among the elderly, it is crucial to understand the potential link between information cocoons and depression among older adults.

Methods

The study examined the relationships between information cocoons and depression, loneliness, and family emotional support among 400 Chinese elderly people. The statistical software package SPSS was used to establish a moderated mediation model between information cocoons and depression.

Results

Information cocoons directly predicted depression among the elderly participants. Family emotional support moderated the first half and the second half of the mediation process, whereby information cocoons affected the depression of the elderly through loneliness. Specifically, in the first half of the mediation process, when the level of information cocoons was lower, the role of family emotional support was more prominent. In the second half of the process, when the level of family emotional support was higher, such support played a more protective role in the impact of loneliness on depression.

Discussion

The findings of this study have practical implications for addressing depression among the elderly population. Understanding the influence of information cocoons on depression can inform interventions aimed at promoting diverse information access and reducing social isolation. These results will contribute to the development of targeted strategies to improve the mental well-being of older adults in the context of evolving media landscapes.

Do the various leisure forms have equal effects on mental health? A longitudinal analysis of self-selected leisure activities

The deteriorating trends of unbalanced income, progressive age-related health problems, and loss of traditional ties necessitate ever-flexible interventions that are helpful to overcome a decline in Chinese adults' mental health. This study aimed to test whether engagement in different domains of leisure is associated with a composite index of mental health, both concurrently and subsequently. Longitudinal data including 10,968 participants (females = 5,804) with a mean age of 46.01 years in the Chinese General Social Survey (CGSS) were analyzed using generalized estimating equations with a logit link. The results showed that face-to-face experiences, such as sports with all ORs of < 1 at the significance level of α = 0.01 and meeting with all ORs of < 1 at the significance level of α = 0.01 except daily in-person meeting frequency, are important for protecting mental health owing to the increasing social support by building close ties. The results also indicate that online leisure with all ORs < 1 at the significance level of α = 0.01 has positive effects on lowering the odds of depression. In addition, receptive cognitive leisure, such as watching television or movies with all ORs < 1 at the significance level of α = 0.05 level, was not consistently associated with depression. However, active cognitive leisure, such as reading with all ORs of < 1 at a significance level of α = 0.01, was associated with lower odds of depression.

The impact of COVID-19 related adversity on the course of mental health during the pandemic and the role of protective factors: a longitudinal study among older adults in The Netherlands

PURPOSE

Many studies report about risk factors associated with adverse changes in mental health during the COVID-19 pandemic while few studies report about protective and buffering factors, especially in older adults. We present an observational study to assess protective and buffering factors against COVID-19 related adverse mental health changes in older adults.

METHODS

899 older adults (55 +) in the Netherlands were followed from 2018/19 to two pandemic time points (June-October 2020 and March-August 2021). Questionnaires included exposure to pandemic-related adversities ("COVID-19 exposure"), depressive and anxiety symptoms, loneliness, and pre-pandemic functioning. Linear regression analyses estimated main effects of COVID-19 exposure and protective factors on mental health changes; interaction effects were tested to identify buffering factors.

RESULTS

Compared to pre-pandemic, anxiety symptoms, depression symptoms and loneliness increased. A higher score on the COVID-19 adversity index was associated with stronger negative mental health changes. Main effects: internet use and high mastery decreased depressive symptoms; a larger network decreased anxiety symptoms; female gender, larger network size and praying decreased loneliness. COVID-19 vaccination buffered against COVID-19 exposure-induced anxiety and loneliness, a partner buffered against COVID-19 exposure induced loneliness.

CONCLUSION

Exposure to COVID-19 adversity had a cumulative negative impact on mental health. Improving coping, finding meaning, stimulating existing religious and spiritual resources, network interventions and stimulating internet use may enable older adults to maintain mental health during events with large societal impact, yet these factors appear protective regardless of exposure to specific adversities. COVID-19 vaccination had a positive effect on mental health.

The correlation analysis of WeChat usage and depression among the middle-aged and elderly in China: the mediating role of social participation

BACKGROUND

We aimed to explore the association between WeChat usage and depression in the Chinese middle-aged and elderly and the role of social participation.

METHODS

Data were obtained from China Health and Retirement Longitudinal Study (CHARLS) of 2018. The dependent variable was depressive symptoms, measured with the 10-item Center for Epidemiologic Studies Depression Scale (CES-D-10). We used the propensity score matching (PSM) to match the WeChat users with the non-WeChat users. Correlations between WeChat usage and depressive symptoms were verified by using logistic regression and linear regression, and the mediating role of social participation was verified by using stepwise regression and KHB method.

RESULTS

Four thousand five hundred forty-five samples were ultimately matched for analysis in this study. After including all control variables, results of logistic regression showed that WeChat usage was significantly associated with a lower prevalence of depression (aOR:0.701,95% CI: 0.605-0.812). And the results of linear regression showed that WeChat usage was associated with lower levels of depression which was significant (p < 0.001). The results of the stepwise regression and the KHB method showed a mediating role of social participation in WeChat usage and depressive symptoms. Among the four types of social participation, the mediating effect of recreational activities was significant, while the mediating effects of voluntary activities, cultural activities, and other activities were not significant. Meanwhile, the effect of WeChat usage on depression and the mediating effect of social participation were heterogeneous because of differences in age and gender.

CONCLUSION

Social participation partly mediated the effect between WeChat usage and depression in middle-aged and older adults. Among the four types of social participation, only recreational activities had a mediating effect. Encouraging more active social participation and other types of social activities should be considered to improve the mental health of the middle-aged and older adults in China through social media usage.

Video call and depression among older adults during the COVID-19 pandemic in Japan: The JAGES one-year longitudinal study

Evidence of video call on preventing late-life depression during the COVID-19 pandemic is limited. We examined the associations of social contact (in-person, voice call, and video call) with incidence of depressive symptoms and evaluated whether specific factors (particularly, age and change in the frequency of in-person contact) affect these associations. We used longitudinal data from the 2019 and 2020 waves of the Japan Gerontological Evaluation Study, including 10,523 participants aged ≥65 years in 10 municipalities. Depressive symptoms were measured by the 15-item Geriatric Depression Scale (GDS-15) score ≥5 in main analysis, and GDS-15 score ≥4, 10, or continuous variable in sensitivity analyses. Social contact represented frequency changes before and during the pandemic: non-contact (reference), decreased-contact, maintained-contact, and increased-contact. We employed modified Poisson regression analysis. Compared to non-contact of video call, the association of increased-contact of video call with depressive symptoms was insignificant in main analysis (GDS-15 ≥ 5: risk ratio (RR) = 0.89, 95% confidence interval (CI): 0.79-1.01), whereas significant in sensitivity analyses (GDS-15 ≥ 4: RR = 0.89, 95% CI: 0.82-0.98; GDS-15 ≥ 10: RR = 0.71, 95% CI: 0.53-0.97; GDS-15 = continuous variable: Β = -0.17, 95% CI: -0.33 to -0.002). In-person contact was significantly associated with lower incidence of depressive symptoms (non-contact: reference; maintained-contact: RR = 0.92, 95% CI: 0.85-0.99; increased-contact: RR = 0.84, 95% CI: 0.77-0.91), whereas voice call was not. Age and change in the frequency of in-person contact did not show significant effect modifications on the associations of video call with incidence of depressive symptoms after Bonferroni correction for multiple testing. In conclusion, this study suggests that the evidence supporting video call as a way to protect against depressive symptoms among older adults during the pandemic appears weak compared to the evidence for in-person contact.

The Heterogeneous Impact of Internet Use on Older People's Mental Health: An Instrumental Variable Quantile Regression Analysis

Objectives: Whether Internet use improves older people's health is an open question. This study empirically investigated the impact of Internet use on older people's mental health with a focus on the heterogeneity among subgroups. Method: Data come from the 2018 China Health Retirement Longitudinal Study (n = 8,505). An instrumental variable quantile regression method (IVQR) combines the instrumental variable and quantile regression to resolve the endogeneity and heterogeneity generally challenged in ordinary least squares (OLS). Results: Although Internet use generally improves older people's mental health, there is enormous heterogeneity in the effects on older adults with different mental health conditions. Specifically, Internet use only has a mitigating impact on older adults with poor mental health. Those heterogeneities are also found between rural and urban residents but not between genders. Conclusion: Our findings shed light on active and healthy aging strategies. Two policy priorities include, on the one hand, the Internet user environment should be improved in parallel with Internet technology; on the other hand, multiple measurements are urgent to be developed to deal with the heterogeneity and unevenness of the impact of Internet technology on older people.

Leisure Activities and Depressive Symptoms among Older Men and Women in Mexico: Implications of Physical Health

OBJECTIVES

This study investigated whether the effects of specific types of group and individual leisure activities on depressive symptoms differ for older men and women in Mexico and whether several indicators of physical health can shape the psychological benefits of these activities.

METHODS

This study used data from two waves (2012 and 2015) of the Mexican Health and Aging Study and employed OLS regressions.

RESULTS

The association between leisure activities and depressive symptoms among older Mexicans may vary by the type of activity, gender, and physical health. Physical health issues may decrease potential psychological benefits of certain leisure activities. Yet, despite deteriorating physical health, older adults may benefit from involvement in some leisure activities.

DISCUSSION

This study highlights the diversity of experiences related to later-life mental health and emphasizes the importance of investigating psychological implications of specific types of leisure activities among older men and women with different physical health concerns.

Internet use and depression among Chinese older adults: The mediating effect of interpersonal relationship

The number of elderly Internet users has increased significantly in the past few years, and the Internet has greatly changed the way that older adults access information and communicate. Generally, those who regularly use the Internet may expand their range of interpersonal interactions, which has positive effects on their health. Depression is the leading cause of ill health, and is closely related to people's mental health. We sought to investigate whether internet use help reduce depression level among older adults. Using data from the 2020 China Family Panel Studies (CFPS), a total of 4,714 respondents were included to explore the effects of Internet use on the elderly's depression levels in China, along with the mediating role of interpersonal relationship in the above relationship. Regression results indicated that Internet use significantly reduced depression levels among the elderly. Further analysis showed that different Internet usage had different effects on depression among the elderly. Wechat chatting, video browsing, and online shopping were positively correlated with lower levels of depression. However, playing online games and online learning did not predict reduced levels of depression. Moreover, interpersonal relationship mediated the relationship between Internet use and depression levels. Internet use was associated with a higher level of interpersonal relationship, which in turn reduced depression levels in older adults. Regarding gender and regional differences, the coefficient of Internet use for urban older adults was significantly negative at 0.001 level, while it was not significant for rural older adults. A mediating effect of interpersonal relationship between Internet use and depression levels was only found for male elderly. To reduce the level of depression and promote mental health in the course of aging, Internet use and the improvement of interpersonal relationships merit special attention.

A four-level meta-analytic review of the relationship between social media and well-being: a fresh perspective in the context of COVID-19

Social media, one of the most pervasive forms of technology, has been widely studied in relation to the mental health and well-being of individuals. However, the current literature on social media and well-being has provided mixed and inconclusive findings, thus creating a polarizing view of social media. These mixed findings continue to extend into the pandemic, with researchers debating over the effects of social media in the new norms of social isolation. In light of these inconclusive findings, the aim of our meta-analysis was to synthesize previous research data in order to have a holistic understanding of the association between social media and well-being, particularly in the present context of COVID-19. The current meta-analysis systematically investigated 155 effect sizes from 42 samples drawn from 38 studies published during the COVID-19 pandemic (N = 43,387) and examined the potential moderators in the relationship between social media and well-being, such as the different operationalizations of social media usage and demographics. Overall, our study found that the relationship between social media usage and well-being was not significant in the context of COVID-19. Additionally, the impact of various moderators on the relationship between social media and well-being was found to vary. We discuss the various theoretical, methodological and practical implications of these findings and highlight areas where further research is necessary to shed light on the complex and nuanced relationship between social media and well-being.

Internet Use as a Moderator of the Relationship between Age and Depression: Implications for Older Adults

Technology-based interventions have been suggested to prevent depression and loneliness. However, it is not yet well-established if internet use is a protective factor for older adults, allowing them to combat depression and loneliness. Addressing this neglected area of research, this paper examines whether frequent internet use moderated the relationship between depression and age. Using 2016 General Social Survey ( n = 869), a series of ordinary least squares regression models were employed. The findings revealed that older adults who frequently used the internet were more depressed than those who did not. This may imply that internet use by older individuals may not be an adequate source of social engagement and may even heighten existing levels of depression. Other interventions may need to be developed to compensate for the loss of physical contact and reduce the level of depression.

Self-reported visual impairment and depression of middle-aged and older adults: The chain-mediating effects of internet use and social participation

Background

Visual impairment (VI) is a strong predictor of depression in middle-aged and older adults. However, the underlying mechanisms and pathways have not been well characterized. The purpose of this study was to determine whether Internet use and social participation mediate the effects of self-reported VI on depression.

Methods

The study used the fourth wave of cross-sectional data from the China Health and Retirement Longitudinal Study, including 19,766 Chinese adults. Depression was assessed according to the CES-D 10 International Scale. Logistic regression models were used to examine the relationship between self-reported VI and depression. While adjusting for relevant covariates, the PROCESS macro (model nos. 6 and 91) was used to assess the chain-mediating effects of Internet use and social participation.

Results

A total of 17,433 respondents were included in this study. The CES-D 10 results showed that 7,327 middle-aged and older adults had depressive symptoms, of whom 39.5% were male and 10.2% were ≥75 years old. 32.1% of respondents self-reported VI. Regression analysis showed a positive association between VI and depression, while Internet use and social participation had a negative predictive effect on depression. In the mediation analysis, the social participation pathway contributed the most to the total effect, accounting for 52.69% of it. The proportion of Internet use is 37.72%. When these two mediators were considered together in the full model, they accounted for 9.58% of the total effect of VI on depression.

Conclusion

Internet use and social participation were important mediators that mitigated the effects of VI on depression. Combined with previous evidence, online activities such as e-health and m-health can effectively promote disease monitoring and diagnosis, and various offline social participation activities can also play a role in regulating emotions. Therefore, Internet use and social participation factors may serve as relevant entry points for the development of intervention programs that may further improve the mental health of the visually impaired.

An approach to psychosocial health among middle-aged and older people by remote sharing of photos and videos from family members not living together: A feasibility study

Background

As an approach to the psychosocial health of people in later adulthood, information and communication technology (ICT) is attracting attention. However, because there is still a disparity issue in ICT use, particularly for older people, considering age-friendly digital interventions is important. We examined the feasibility of an intervention by an age-friendly digital service, remote sharing of photos/videos from families not living together, for psychosocial health in middle-aged and older people.

Methods

This single-arm study recruited Japanese adults aged ≥ 50 years from web-pages of the social service, Mago-Channel (Chikaku Inc., Japan). Participants used this service for 3 months to receive photos/videos from the smartphones of their families not living together on a device set up on their home TVs and watched them there. Families not living together were encouraged to send photos/videos at least once a week, but no other restrictions on their lives, including their interactions, were imposed. After 3 months, the level of user satisfaction and changes in psychosocial health were assessed.

Results

Finally, 115 participants were included, and 106 completed the intervention; the dropout rate from the intervention was low (7.8%), and satisfaction with the program was high, indicating high feasibility. While depressive symptoms and loneliness did not change markedly, satisfaction with the relationship of families living together increased significantly, and social interactions improved, including those with families not living together.

Conclusions

High feasibility of this age-friendly digital intervention and its potential benefits on social relationships were shown, encouraging further trials with a confirmatory study design.

Does the Internet Bring People Closer Together or Further Apart? The Impact of Internet Usage on Interpersonal Communications

The complementarity interference (CI) model suggests that the Internet may either inhibit or facilitate interpersonal communications. This paper empirically examines the impact of Internet usage on interpersonal interactions, using a micro dataset from China to answer whether the Internet brings people closer together or further apart. The empirical results demonstrate, first, that Internet usage significantly increases both the time and frequency of people’s communications with their family and friends, rather than causing them to feel more disconnected and isolated. Holding other factors constant, for each one-standard-deviation increase in Internet usage, weekly communications with family members increases by an average of 102.150 min, while there is an average increase of 54.838 min in interactions with friends. These findings as to its positive effects are robust when using other regression models and interpersonal contact measures, as well as the instrumental variable method. Second, Internet usage also contributes to decreased loneliness; it exerts this effect primarily by improving people’s interactions with their family members. However, communications with friends do not significantly mediate such impacts. Third, the positive role of Internet usage on communications is more prominent for people with more frequent online socialization and self-presentation, better online skills, younger age, higher educational level, and who are living in urban areas. In addition, the beneficial effects of Internet usage are larger for communications with family members in the case of migrants. Therefore, in the context of the rapid development of information technology, the network infrastructure should be improved to make better use of the Internet to facilitate interpersonal communications and promote people’s wellness.

Continuous Neurophysiologic Data Accurately Predict Mood and Energy in the Elderly

The elderly have an elevated risk of clinical depression because of isolation from family and friends and a reticence to report their emotional states. The present study explored whether data from a commercial neuroscience platform could predict low mood and low energy in members of a retirement community. Neurophysiologic data were collected continuously for three weeks at 1Hz and averaged into hourly and daily measures, while mood and energy were captured with self-reports. Two neurophysiologic measures averaged over a day predicted low mood and low energy with 68% and 75% accuracy. Principal components analysis showed that neurologic variables were statistically associated with mood and energy two days in advance. Applying machine learning to hourly data classified low mood and low energy with 99% and 98% accuracy. Two-day lagged hourly neurophysiologic data predicted low mood and low energy with 98% and 96% accuracy. This study demonstrates that continuous measurement of neurophysiologic variables may be an effective way to reduce the incidence of mood disorders in vulnerable people by identifying when interventions are needed.

Social determinants of hypertension in high-income countries: A narrative literature review and future directions

Hypertension is a leading cause of cardiovascular disease and despite established strategies to lower blood pressure, the control of hypertension remains poor. This is true even in high-income countries with well-established welfare and medical systems. Among the social factors associated with hypertension (i.e., social determinants of hypertension, SDHT), individual socioeconomic status (SES), including education, income, and occupation, can be crucial for hypertension management (prevalence, awareness, treatment, and control). This article reviews the findings of recently published studies that examined the association between SES and hypertension management in high-income countries. It also discusses social prescribing, which targets social isolation and loneliness as modifiable SDHT to improve hypertension management.

Conceptual framework of social determinants of hypertension

A Machine Learning Approach for Detecting Digital Behavioral Patterns of Depression Using Nonintrusive Smartphone Data (Complementary Path to Patient Health Questionnaire-9 Assessment): Prospective Observational Study

BACKGROUND

Depression is a major global cause of morbidity, an economic burden, and the greatest health challenge leading to chronic disability. Mobile monitoring of mental conditions has long been a sought-after metric to overcome the problems associated with the screening, diagnosis, and monitoring of depression and its heterogeneous presentation. The widespread availability of smartphones has made it possible to use their data to generate digital behavioral models that can be used for both clinical and remote screening and monitoring purposes. This study is novel as it adds to the field by conducting a trial using private and nonintrusive sensors that can help detect and monitor depression in a continuous, passive manner.

OBJECTIVE

This study demonstrates a novel mental behavioral profiling metric (the Mental Health Similarity Score), derived from analyzing passively monitored, private, and nonintrusive smartphone use data, to identify and track depressive behavior and its progression.

METHODS

Smartphone data sets and self-reported Patient Health Questionnaire-9 (PHQ-9) depression assessments were collected from 558 smartphone users on the Android operating system in an observational study over an average of 10.7 (SD 23.7) days. We quantified 37 digital behavioral markers from the passive smartphone data set and explored the relationship between the digital behavioral markers and depression using correlation coefficients and random forest models. We leveraged 4 supervised machine learning classification algorithms to predict depression and its severity using PHQ-9 scores as the ground truth. We also quantified an additional 3 digital markers from gyroscope sensors and explored their feasibility in improving the model's accuracy in detecting depression.

RESULTS

The PHQ-9 2-class model (none vs severe) achieved the following metrics: precision of 85% to 89%, recall of 85% to 89%, F1 of 87%, and accuracy of 87%. The PHQ-9 3-class model (none vs mild vs severe) achieved the following metrics: precision of 74% to 86%, recall of 76% to 83%, F1 of 75% to 84%, and accuracy of 78%. A significant positive Pearson correlation was found between PHQ-9 questions 2, 6, and 9 within the severely depressed users and the mental behavioral profiling metric (r=0.73). The PHQ-9 question-specific model achieved the following metrics: precision of 76% to 80%, recall of 75% to 81%, F1 of 78% to 89%, and accuracy of 78%. When a gyroscope sensor was added as a feature, the Pearson correlation among questions 2, 6, and 9 decreased from 0.73 to 0.46. The PHQ-9 2-class model+gyro features achieved the following metrics: precision of 74% to 78%, recall of 67% to 83%, F1 of 72% to 78%, and accuracy of 76%.

CONCLUSIONS

Our results demonstrate that the Mental Health Similarity Score can be used to identify and track depressive behavior and its progression with high accuracy.

Internet addiction and its association with quality of life in patients with major depressive disorder: a network perspective

Depressive disorders and internet addiction (IA) are often comorbid. The aims of this study were to examine the network structure of IA in patients with major depressive disorders (MDD) and explore the association between IA and quality of life (QoL) in this population. This was a multicenter, cross-sectional survey. IA and QoL were assessed with the Internet Addiction Test (IAT) and the World Health Organization Quality of Life-brief version, respectively. Node expected influence (EI) was used to identify central symptoms in the network model, while the flow network of QoL was generated to examine its association with IA. A total of 1,657 patients with MDD was included. "Preoccupation with the Internet," "Job performance or productivity suffer because of the Internet," and "Neglect chores to spend more time online" were central symptoms. The symptom "Form new relationships with online users" had the strongest direct positive relation with QoL, while "Spend more time online over going out with others" and "Job performance or productivity suffer because of the Internet" had the strongest direct negative relations with QoL. Neglecting work caused by IA correlated with QoL, while making friends online appropriately was related to better QoL among MDD patients. Appropriate interventions targeting the central symptoms may potentially prevent or reduce the risk of IA in MDD patients.

The Structure of Social Networks and Its Link to Higher Education Students' Socio-Emotional Loneliness During COVID-19

Lonely students typically underperform academically. According to several studies, the COVID-19 pandemic is an important risk factor for increases in loneliness, as the contact restrictions and the switch to mainly online classes potentially burden the students. The previously familiar academic environment (campus), as well as the exchange with peers and lecturers on site, were no longer made available. In our cross-sectional study, we examine factors that could potentially counteract the development of higher education student loneliness during the COVID-19 pandemic from a social network perspective. During the semester, N = 283 students from across all institutional faculties of a German comprehensive university took part in an online survey. We surveyed their social and emotional experiences of loneliness, their self-reported digital information-sharing behavior, and their current egocentric networks. Here, we distinguished between close online contacts (i.e., mainly online exchanges) and close offline contacts (i.e., mainly in-person face-to-face exchanges). In addition, we derived the interconnectedness (i.e., the densities of the egocentric networks) and heterogeneity (operationalized with the entropy) of students' contacts. To obtain the latter, we used a novel two-step method combining t-distributed stochastic neighbor embedding (t-SNE) and cluster analysis. We explored the associations of the aforementioned predictors (i.e., information-sharing behavior, number of online and offline contacts, as well as interconnectedness and heterogeneity of the close contacts network) on social and emotional loneliness separately using two hierarchical multiple linear regression models. Our results suggest that social loneliness is strongly related to digital information-sharing behavior and the network structure of close contacts. In particular, high information-sharing behavior, high number of close contacts (whether offline or online), a highly interconnected network, and a homogeneous structure of close contacts were associated with low social loneliness. Emotional loneliness, on the other hand, was mainly related to network homogeneity, in the sense that students with homogeneous close contacts networks experienced low emotional loneliness. Overall, our study highlights the central role of students' close social network on feelings of loneliness in the context of COVID-19 restrictions. Limitations and implications are discussed.

Persistence of mental health deterioration among people living alone during the COVID-19 pandemic: a periodically-repeated longitudinal study

Background

This longitudinal study aimed to investigate how psychological distress levels changed from early to middle phases of the new coronavirus (COVID-19) pandemic depending on the living arrangements of individuals.

Methods

An internet-based, longitudinal survey of 2,400 Japanese people was conducted every 5–6 weeks between February 2020 and January 2021. The presence of severe psychological distress (SPD) was measured using the Kessler’s psychological distress scale. Living arrangements were classified into two groups (ie, living alone or living with others). Mixed-effects logistic regression analysis was performed to assess whether changes in SPD status were different depending on living arrangements.

Results

Of 2,400 respondents, 446 (18.5%) lived alone. Although the proportion of SPD in both individuals living alone and those living with others increased to the same extent in the early phase of the pandemic, the distress levels decreased after the early phase of the pandemic in the group living with others, compared with the group living alone, for which SPD remained high. The odds ratio (OR) of developing SPD in interaction term with survey phases tended to be higher among those who lived alone than those who lived with others in Phase 6 (OR 1.89; 95% confidence interval [CI], 0.99–3.64) and Phase 7 (OR 1.88; 95% CI, 0.97–3.63).

Conclusion

During the COVID-19 pandemic, those living alone are persistently at a higher risk of SPD compared to those living with others. Effective countermeasures targeting those living alone, such as enhancing online communication or providing psychological therapies, are essential.

Symptoms of depression, anxiety, and perceived mastery in older adults before and during the COVID-19 pandemic: Results from the Longitudinal Aging Study Amsterdam

OBJECTIVE

Governmental measures to protect older adults from COVID-19 are hypothesized to cause anxiety and depression. Previous studies are heterogeneous and showed small effects. This study aims to assess depressive and anxiety symptoms and perceived mastery just after the first wave of the COVID-19 pandemic compared to previous years in community-dwelling older adults and to identify potential risk groups according to the comprehensive geriatric assessment framework.

METHODS

Data were used from 1068 Dutch older adults (aged 55-93 at baseline in 2011-2013) participating in the Longitudinal Aging Study Amsterdam, including 4 follow-ups spanning 9 years. Depressive symptoms, anxiety symptoms and feelings of mastery were assessed with the short Center for Epidemiologic Studies Depression scale (CES-D-10), the Hospital Anxiety Depression Scale - Anxiety subscale (HADS-A) and the Pearlin Mastery Scale. Linear mixed regression was used to compare outcomes in June-August 2020 to previous years and to examine predictors to identify risk groups.

RESULTS

Slight increases in CES-D-10 (1.37, 95% Confidence interval [CI] 1.12;1.62), HADS-A (0.74, 95% CI 0.56;0.94) and mastery (1.10, 95% CI 0.88;1.31) occurred during the COVID year compared to previous years. Older adults with functional limitations or with frailty showed a smaller increase in feelings of mastery in the COVID-year.

CONCLUSION

Our results suggest limited mental health effects on older adults from the first COVID-19 wave. Older adults have perhaps better coping strategies than younger adults, or preventive measures did not have extensive consequences for the daily life of older adults. Further monitoring of depression, anxiety and perceived mastery is recommended.

The Effect of Social Media Use on Depressive Symptoms in Older Adults with Self-Reported Hearing Impairment: An Empirical Study

Older people with hearing impairment are more likely to develop depressive symptoms due to physical disability and loss of social communication. This study investigated the effects of social media on social relations, subjective aging, and depressive symptoms in these older adults based on the stimulus-organism-response (S-O-R) framework. It provides new empirical evidence to support improving the mental health and rebuilding the social relations of older people. A formal questionnaire was designed using the Wenjuanxing platform and distributed online through WeChat; 643 valid questionnaires were received from older people with self-reported hearing impairments, and SmartPLS 3.28 was used to analyze the data. The results show that (1) social media significantly impacts the social relations of older people with hearing impairment (social networks, β = 0.132, T = 3.444; social support, β = 0.129, T = 2.95; social isolation, β = 0.107, T = 2.505). (2) For these older people, social isolation has the biggest impact on their psychosocial loss (β = 0.456, T = 10.458), followed by the impact of social support (β = 0.103, T = 2.014); a hypothesis about social network size was not confirmed (β = 0.007, T = 0.182). Both social media (β = 0.096, T = 2.249) and social support (β = 0.174, T = 4.434) significantly affect the self-efficacy of hearing-impaired older people. (3) Both subjective aging (psychosocial loss, β = 0.260, T = 6.036; self-efficacy, β = 0.106, T = 3.15) and social isolation (β = 0.268, T = 6.307) significantly affect depressive symptoms in older people with hearing impairment. This study expands the theories of social media aging cognition, social support, and social networks and can provide practical contributions to the social media use and mental health of special persons 60 years and older.

The Impact of an Internet Use Promotion Programme on Communication, Internet Use, and the Extent of Social Networks among Low-Income Older Adults

We examined whether an internet use promotion intervention influences low-income older adults’ communication modes, internet use, and social networks using existing data collected for an intervention. Participants living in public senior housing facilities in the United States (n = 77) completed surveys before and after a 12-week computer and internet training. The six-item Lubben Social Network Scale (LSNS-6) was used to measure the extent of older adults’ social networks. The primary mode of communication shifted from more traditional means to internet-based communications (p < .0005 in a Fisher’s exact test). The frequency of internet use significantly increased (p < .00005 in a one-sided Sign test). Overall, the LSNS-6 score increased by 4.1 points (p < .00005 in a Welch’s t-test). The LSNS-6 score increase was significantly larger among African Americans than Whites, controlling for gender (p < .05 in negative binomial regression). Moderate (p < .005) and frequent internet users (p < .05) had higher LSNS-6 scores than rare internet users at posttest when gender and race were controlled for in linear regression. Comparatively more improvement in the extent of social networks among African Americans suggests greater benefits of such interventions for population groups of disadvantaged backgrounds. Larger social networks among moderate and frequent internet users than rare users suggest positive impacts of internet communications on social networks.

Relationship of Decrease in Frequency of Socialization to Daily Life, Social Life, and Physical Function in Community-Dwelling Adults Aged 60 and Over after the COVID-19 Pandemic

The study is cross-sectional in nature and aims to investigate the relationship of the frequency of socialization (FOS) to the daily life, social life, and physical function of community-dwelling adults aged 60 and over after the COVID-19 outbreak. A self-reported questionnaire survey was conducted on 3000 members of CO-OP Kagoshima, out of which 342 responses were received. Bivariate statistics was conducted followed by multiple logistic regression analysis. Questions with significant differences were set as independent variables, whereas the FOS was set as the dependent variable. Results indicate significant group differences between the decreased and increased/unchanged groups. After adjusting for potential covariates, multiple logistic regression analysis revealed decreases in the frequencies of cooking (OR: 0.07; 95% CI: 0.01–0.69; p = 0.02), shopping (OR: 18.76; 95% CI: 7.12–49.41; p < 0.01), and eating out (OR: 3.47; 95% CI: 1.21–9.97; p = 0.02), which were significantly associated with decreased FOS. The finding may inform policy making in identifying priorities for support in daily life for community-dwelling adults over the age of 60 undergoing social distancing.

Association between Decreased Social Participation and Depressive Symptom Onset among Community-Dwelling Older Adults: A Longitudinal Study during the COVID-19 Pandemic

OBJECTIVES

The coronavirus disease (COVID-19) pandemic has imposed restrictions on people's social behavior. However, there is limited evidence regarding the relationship between changes in social participation and depressive symptom onset among older adults during the pandemic. We examined the association between changes in social participation and the onset of depressive symptoms among community-dwelling older adults during the COVID-19 pandemic.

DESIGN

This was a longitudinal study.

SETTING

Communities in Minokamo City, a semi-urban area in Japan.

PARTICIPANTS

We recruited community-dwelling older adults aged ≥ 65 years using random sampling. Participants completed a questionnaire survey at baseline (March 2020) and follow-up (October 2020).

MEASUREMENTS

Depressive symptoms were assessed using the Two-Question Screen. Based on their social participation status in March and October 2020, participants were classified into four groups: "continued participation," "decreased participation," "increased participation," and "consistent non-participation."

RESULTS

A total of 597 older adults without depressive symptoms at baseline were analyzed (mean age = 79.8 years; 50.4% females). Depressive symptoms occurred in 20.1% of the participants during the observation period. Multivariable Poisson regression analysis showed that decreased social participation was significantly associated with the onset of the depressive symptoms, compared to continued participation, after adjusting for all covariates (incidence rate ratio = 1.59, 95% confidence interval = 1.01-2.50, p = 0.045).

CONCLUSION

Older adults with decreased social participation during the COVID-19 pandemic demonstrated a high risk of developing depressive symptoms. We recommend that resuming community activities and promoting the participation of older adults, with sufficient consideration for infection prevention, are needed to maintain mental health among older adults.