Patterns of Internet Use, and Associations with Loneliness, amongst Middle-Aged and Older Adults during the COVID-19 Pandemic

Purposes of Internet Use and Its Impacts on Physical and Psychological Health of Korean Older Adults

Older adults engage in online activities for various purposes. An increasing number of studies are establishing connections between the purposes of internet use and their impacts on health outcomes. This study aimed to examine how the purposes of internet use affect self-rated health and depressive symptoms among Korean older adults. A nationally representative survey of community-dwelling older adults in Korea was used in the analysis (n = 5094). Instrumental internet use (using the internet to access various forms of information, services, and other resources) in Korean older adults was as common as interpersonal communication use, and the purposes of internet use were mainly for information seeking for everyday needs and engaging in various activities for enjoyment. Internet use for interpersonal communication and instrumental purposes was significantly associated with depressive symptoms and self-rated health. Internet use for instrumental purposes had a greater impact on self-rated health (β = -0.186) and depressive symptoms (β = -0.160) compared with the impacts of interpersonal communication internet use on self-rated health (β = -0.101) and depressive symptoms (β = -0.047). The findings highlighted the necessity of designing interventions that take into account the different purposes of internet use for older adults in order to maximize its benefits, paying special emphasis for information seeking online.

Longitudinal association between frequency of Internet use and incident disability among community-dwelling older people during the COVID-19 pandemic

BACKGROUND

There is limited evidence of a protective effect of Internet use for incident disability (ID) during the COVID-19 pandemic. We investigated the association between frequency of Internet use (FIU) and ID among community-dwelling older people.

METHODS

We used longitudinal data from the 2019 and 2022 surveys, including 7,913 residents aged ≥65 without disability at baseline. ID was defined as a new public long-term care insurance certification. FIU at baseline was categorized into daily, weekly, monthly, yearly, and non-users. Changes in FIU before and during the COVID-19 pandemic were categorized into continuing frequent (i.e., daily or weekly), continuing moderate (i.e., monthly or yearly), increase in frequency, from non-users to users, decrease in frequency, from users to non-users, and continuing non-users. Covariates included age, gender, education, perceived economic situation, family structure, body mass index, chronic medical conditions, dietary variety, working status, walking time, and cognitive functioning. Multivariable Poisson regression models were used to estimate adjusted cumulative incidence ratio (aCIR) and 95% confidence interval (CI) for ID.

RESULTS

During the 3-year follow-up, 132 of 4,453 people aged 65-74, 595 of 3,460 people aged ≥75, 287 of 3,660 men, and 440 of 4,253 women developed ID. For FIU at baseline, among people aged ≥75 or men, there was a dose-response relationship between more frequent Internet use at baseline and a lower risk of ID (P-trend was 0.005 in people aged ≥75, and <0.001 in men). Compared to non-users, daily users had a significantly lower risk of ID [aCIR (95% CI) = 0.69 (0.53-0.90) in people aged ≥75, and 0.49 (0.34-0.70) in men]. For changes in FIU, "continuing frequent" and "from non-users to users" had a lower risk of ID than continuing non-users. After stratified analyses, "continuing frequent" remained a significant association in people aged ≥75 or in men, while "from non-users to users" had a significant association in those with daily walking time <30 minutes.

CONCLUSIONS

Although FIU may act as a marker of disability, or indicate individual adaptability, our findings suggest that Internet use may be a potential preventive measure against ID in community-dwelling older people when social distancing is required.

The Impact of the COVID-19 Pandemic on Loneliness Among University Students: A Cross-Sectional Study in Jordan

INTRODUCTION

Loneliness is characterized by a sense of melancholy, emptiness, and despair, as well as a higher risk of both psychological and physical problems. Numerous post-coronavirus disease 2019 (COVID-19) sequela, both physically and mentally, have been caused by the global COVID-19 pandemic that has affected many people. Memory issues and loneliness were found to be uniquely correlated. The purpose of this study was to evaluate how the COVID-19 epidemic affected the levels of loneliness among Jordanian university students.

METHODS

This is a cross-sectional questionnaire-based study. Google Forms were used for data collection, utilizing a three-item loneliness scale developed by the University of California, Los Angeles (UCLA), United States, which accounts for the following items: (1) how often does the participant feel about lacking companionship, (2) how often does the participant feel being left out, and (3) how often does the participant feel isolated from others. Each item was marked for three frequency levels of experience: (1) hardly ever, (2) some of the time, and (3) often. Responses to the three loneliness questions were graded on a scale of 3-9, with scores between 3 and 5 indicating "not lonely" and scores between 6 and 9 indicating "lonely."

RESULTS

The study included 802 participating students. Specifically, 75.4% of the participants were females, 58% were aged 20-25, and 39% were 17-19. In addition, 37% were from the capital city, while 28% lived in the middle area. Seventy nine percent were from public universities, and 74% were studying in their second year. According to UCLA's three-item loneliness scale, 411 (51.2%) participants were lonely, while 391 (48.8%) participants were not feeling lonely. According to direct question answers, 576 (71.8%) participants were lonely, and 226 (28.2%) were not lonely.

CONCLUSION

The study concluded that the frequency of loneliness was high among Jordanian university students. However, both genders experienced equal levels of loneliness, while younger participants felt more lonely than older ones.

Relationship between Internet Use and Negative Affect

While positive emotions like happiness and life satisfaction have received great attention, how to eliminate negative affect is largely neglected. This study contributes to the literature by examining the relationship between Internet use and people's negative affect. Unlike previous studies that consider only one indicator, we capture negative affect from different dimensions by considering loneliness, sadness, and life hardship. We employ an endogenous ordered probit model to address the selection bias of Internet use and analyze the 20,107 individual-level samples sourced from the 2020 China Family Panel Studies survey. The results show that Internet use significantly reduces people's loneliness, sadness, and life hardship. We also find that studying online and watching short videos would increase people's loneliness feeling and shopping online deepens people's life hardship. In contrast, using WeChat significantly reduces sadness and life hardship. Our findings confirm that guiding people to use the Internet appropriately is necessary to reduce negative affect and improve the quality of their life.

Social Isolation in Community-Dwelling Older Adults During COVID-19: Understanding the Role of Resilience

The COVID-19 pandemic increased social isolation for many older adults, causing concern for their health and well-being. To enhance understanding of how community-dwelling older adults were impacted by prolonged social isolation during COVID-19, a qualitative descriptive study was conducted to: (1) explore the self-reported factors supporting their resilience during COVID-19 related social isolation, and (2) to help understand the intentional and unintentional outcomes of the government mandated health measures. A total of 19 community dwelling older adults were sampled. Factors that supported older adults' resilience during COVID-19 included maintaining positivity, drawing on historical experiences of resilience and finding opportunities to connect with their community. However, collective safety came with losses: such as time, freedom, opportunity, engagement, and initiative. The findings provide insight on contributing factors to resilience against social isolation in older adults and suggest the value of collective, community-based approaches to build resilience across variable contexts in this population.

Verification of the Effectiveness of a Communication Application in Improving Social Connectedness and Physical Health among Unacquainted Older Men: A Mixed-Methods Pilot Study

This study aimed to verify the effectiveness of an application (app) in establishing social connectedness among unacquainted older men, as well as improving their physical health. The nine participants were men aged 65 and older in the subarctic zone of Hokkaido, Japan. A mix of quantitative and qualitative methods were adopted as the study design. A questionnaire survey was completed before and after the intervention, and a semi-structured interview was conducted after the intervention. An app-installed smartphone was loaned to the participants, which allowed them to share pictures, voice recordings, and their step count. Quantitative data were analyzed using descriptive statistics and the Wilcoxon signed-rank test, and qualitative data were analyzed using qualitative descriptive analysis to generate categories. The average age of the participants was 77.7 years. The relationship between participants who were interacting for the first time through the app advanced as their understanding of each other's personalities deepened. The average step count during the third and fourth months was significantly higher than in the first two months. By using the app, older men were able to build relationships with one another. In addition, visualizing the number of steps on the app was effective in improving the number of steps.

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.

Shared Destiny in the Digital Era: Sensation Seeking, Loneliness, and Excessive Internet Use among Middle-Aged and Older Adults in Mainland China

With digital infrastructures becoming the foundation of modern life and a shared lifestyle, the internet has become a popular leisure tool for middle-aged and elderly individuals. However, inappropriate use of the internet can jeopardize their health and quality of life, and excessive internet use by middle-aged and older adults is a cause for concern. This study found that middle-aged and older adults are vulnerable to excessive internet use. One predictor of excessive use is loneliness, but its effect is relatively limited. It is a mediating variable rather than the essential cause of excessive internet use by middle-aged and older adults. The effect of sensation seeking is a strong predictor of middle-aged and older adults' excessive internet use, which means they have a strong desire to use the internet to satisfy their emotional needs, thus, resulting in excessive internet use. The social nature of digital infrastructure in a relational framework and the impact of the internet on different populations are likely more complex than we imagine and have the potential to cause many unintended effects.

Examining Differences, Relationships, and Predictors for Loneliness in an Adult Population: The Roles of Personal Characteristics, Place of Residence, Leisure Activities, Mental Health, and Social Outcomes

Loneliness is associated with poor mental and social outcomes globally. The literature suggests an association between loneliness and personal characteristics, place of residence, and leisure activities. However, the current literature has produced inconsistent findings and has focused largely on older adults. This study is one of the first to examine the differences, relationships, and predictors of loneliness in an adult population, and the roles of personal characteristics, place of residence, leisure activities, mental health, and social outcomes. A cross-sectional online survey was undertaken. A sample of 155 adults responded, with a mean age of 34.5 years (SD = 13.2), and with 54.1% identifying as female. An analysis revealed experiences of loneliness across the sample. In addition, age was moderately associated with loneliness, while psychological distress, depressive symptoms, and social networks were significantly associated with loneliness. Depressive symptoms were a positive predictor for loneliness, and social networks were a negative predictor for loneliness. This study has confirmed findings from previous research and provided new information on loneliness, which can guide future research and interventions to prevent or support people who suffer from loneliness.