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.

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.

Social Media Use May Not Be As Bad As Some Suggest: Implication for Older Adults

Background and Objectives

Social media use (SMU) has increased over the past decade among older adults. Cross-sectional studies report SMU is related to negative mental health outcomes (i.e., depression). Given depression is the most common mental health issue for older adults and increases the risk of morbidity and mortality, determining longitudinally whether SMU is related to increased depression is critical. This study examined the longitudinal relationship between SMU and depression.

Research Design and Methods

Data from 6 waves (2015-20) of the National Health and Aging Trends Study (NHATS) were analyzed. Participants included a nationally representative sample of U.S. older adults, aged 65 years and older (N = 7,057). We used a Random Intercept Cross-Lagged Panel Modeling (RI-CLPM) framework to examine the relationship between primary outcomes of SMU and depression symptoms.

Results

No pattern was found of SMU predicting depression symptoms, or depression symptoms predicting SMU. The major driver of SMU in each wave was SMU in the previous wave. On average, our model accounted for 3.03% of the variance in SMU. The major predictor of depression in each wave was the pre-existing depression. Our model accounted for an average of 22.81% of the variance in depressive symptoms.

Discussion and Implications

The results suggest that SMU and depressive symptoms are driven by the previous patterns of SMU and depression, respectively. We did not find any patterns of SMU and depression influencing each other. NHATS measures SMU with a binary instrument. Future longitudinal research should employ measures that account for SMU duration, type, and purpose. These findings suggest that SMU may not be related to negative health outcomes, in this case, depression, for older adults.

Internet use and life satisfaction among Chinese older adults: the mediating effects of social interaction

Internet use has been suggested to have a crucial effect on older adults' quality of life; however, few studies have investigated the underlying mechanisms in the relationship between internet use and life satisfaction among older adults. Employing multiple linear regression models and mediation analysis with 2019 Chinese Social Survey (CSS) data, this study analyzed the associations between the internet use and life satisfaction of Chinese older adults. Additionally, it explored the mediating role of social interaction, including online and offline social interactions. The results showed that internet use was positively associated with older adults' life satisfaction, and offline social interaction significantly mediated internet use. Our findings indicate that internet use could improve older adults' quality of life by promoting offline social interaction. Therefore, the government, communities, and families should create conditions for older adults to integrate into online society and participate in offline social interaction.

Barriers and facilitators of willingness to vaccinate against COVID-19: Role of prosociality, authoritarianism and conspiracy mentality. A four-wave longitudinal study

AIM

We investigated longitudinal relations between individual willingness to undergo vaccination against COVID-19 and three social factors: conspiracy mentality, prosociality, and authoritarianism.

METHOD

This longitudinal study comprised four measurement points. The first wave sample included 1130 responses and was representative of the Polish population in terms of gender, age, and place of residence. Analyses were performed using random intercept cross-lagged panel models.

RESULTS

We observed bidirectional positive cross-lagged relationships between prosociality and willingness to undergo vaccination in the first three waves of measurement. Authoritarianism and conspiracy mentality translated into a lower willingness to vaccinate between the third and fourth points of measurement when the vaccination became a near-term possibility.

CONCLUSIONS

Eliciting prosocial motivation to vaccinate can be paramount in overcoming vaccine hesitancy. Because conspiracy thinking may be a crucial barrier to willingness to be vaccinated, it is critical to focus on planning interventions and campaigns undermining conspiracy theories about COVID-19.

Mechanisms of Social Interaction and Virtual Connections as Strong Predictors of Wellbeing of Older Adults

Socially engaged older adults are less likely to decline in health and happiness and have a higher quality of life. Building upon this premise, examination was conducted on the domains of social determinants of health, specifically the social and community context per Healthy People 2030 objectives. These mechanisms of social interaction, in the form of group activities, community engagement, and virtual interactions via email or text message, were assessed using hierarchical regression analysis to find out their association with wellbeing, depression symptoms, and cognition of older adults. The data included a total of 4623 sample of older adults from the National Health and Aging Trend Study (NHATS) Round 8. The results showed that social support explained a 40.3% unique variance on wellbeing. The use of text message and email had a moderating effect on community engagement and self-reported depression level in older adults. Findings suggest that community programs, shared group activities, or technology training workshops can improve social interaction and support cognition and reduce depression in older adults. Directions for future research include examining human behaviors and perceptions and increasing technology training sessions to promote independence of older adults and increase their social connections. In addition, participant involvement in interventions would enhance the possibility of success of such endeavors.

Partner influences on ICT use variety among middle-aged and older adults: The role of need for cognition

This exploratory study examined both individual and dyadic predictors of variety of ICT use. Need for cognition is associated with engaging in a variety of intellectually stimulating practices and a prominent individual difference predictor of the types of ICTs people use. Participants were a subset of 542 heterosexual couples (N = 1084 individuals; 50% women; M age = 63.65; 83.9% Caucasian) from the Health and Retirement Study with access to the internet. Individuals high in need for cognition were more likely to use ICTs for a variety of reasons. Being married to someone high in need for cognition was associated with a greater variety of ICT ownership, ICTs for financial/transactional activities, and ICTs for miscellaneous reasons (e.g., research), although these effects were relatively small and the evidence for partner effects was relatively weak according to the distribution of p-values. Partner effects were not significant for social technology or internet-enabling ICTs; cross-partner interactions provided suggestive evidence for compensating for lower levels of individual need for cognition. Findings are discussed in relation to the relational and contextual determinants of ICT use in older adulthood.

Impact of Internet Use on Mental Health among Elderly Individuals: A Difference-in-Differences Study Based on 2016-2018 CFPS Data

The number of elderly Internet users has increased significantly in the past few years. However, the impact of Internet use on mental health remains unclear. In this study, we performed a difference-in-differences analysis using data from the 2016 and 2018 waves of the China Family Panel Studies (CFPS) to evaluate the impact of Internet usage on mental health among elderly individuals. A total of 5031 validated respondents were included to explore the relationship between Internet use and reduced levels of depression as well as improved life satisfaction among elderly individuals. The results showed that Internet use significantly reduced depression levels. Unexpectedly, Internet use was not found to improve life satisfaction. Moreover, discontinuing Internet use was not significantly associated with improvements in depression or life satisfaction. More research is needed to fully elucidate the relationship between Internet use and depression levels, as well as life satisfaction among elderly individuals.

Prosociality and endorsement of liberty: Communal and individual predictors of attitudes towards surveillance technologies

BACKGROUND

During the coronavirus disease 2019 (COVID-19) pandemic, digital tracking technologies were recognised as one of the key tools in preventing the spread of the virus and maintaining health security. However, they also raised numerous controversies because of their potential to endanger civil rights and privacy. Most studies on the acceptance of anti-COVID-19 tracking technologies did not include important social factors and did not examine the directionality between variables. We aimed to fill this gap in the present study.

METHODS

We conducted a four-wave, representative longitudinal panel survey among Polish citizens on the relationship between acceptance of anti-COVID-19 tracking technologies and prosociality, national identification, and endorsement of individual liberty. Analyses were performed using random-intercept cross-lagged panel models.

RESULTS

We observed bidirectional cross-lagged relationships between prosociality and acceptance of anti-COVID 19 tracking technologies, with a stronger path from prosociality to acceptance than the other way around. Endorsement of individual liberty predicted negative attitudes towards technologies and this relation was strengthened by perceived threat of future technological surveillance. We did not find a significant relationship between acceptance of technologies and national identification at the within-subject level.

CONCLUSIONS

This is the first study to analyse dynamic within-person relationships between communal and individual aspects and acceptance of anti-COVID-19 surveillance technologies. We conclude that prosocial attitude may lead to social acceptance of technology that, while helpful to fight with a pandemic, might also infringe on personal rights.

Internet Use and Cognitive Engagement in Older Adulthood

Internet use is increasingly ubiquitous among older adults and may buffer against declines in cognitive engagement. We examined longitudinal associations between three types of internet use (media, social, and instrumental) and two indicators of cognitive engagement (Openness to Experience and Need for Cognition) in a nationally representative sample of Dutch older adults ( N = 2,922 adults aged 65–99) assessed annually from 2008 to 2017. Preregistered analyses indicated that older adults who were more cognitively engaged used the internet more frequently, especially for instrumental purposes like search and email. Those who increased in their use of online media declined less in Need for Cognition than their peers. These associations remained constant over time even as internet use became more common. We benchmarked our findings against null associations between cognitive engagement and TV/radio use and tested associations in younger comparison samples. Findings bolster our understanding of the role that technology use plays in personality development and aging.

Dynamic relationships between different types of conspiracy theories about COVID-19 and protective behaviour: A four-wave panel study in Poland

RATIONALE

Conspiracy theories about COVID-19 pose a serious threat to public health by providing false information and undermining official health recommendations. However, existing studies rarely employed longitudinal designs, precluding the determination of the directionality between endorsement of conspiracy theories and its societal consequences. Also, relatively little research examined whether the association between protective health behaviour and the endorsement of conspiracy theories is affected by the content of a given theory.

METHODS

A four-wave longitudinal panel survey on the association between belief in a wide range of conspiracy theories about COVID-19 and protective behaviour was carried out on a representative sample of Polish citizens (T1 = 1130, T2 = 971, T3 = 818, T4 = 688). Analyses were performed using Random Intercept Cross-Lagged Panel Models.

RESULTS

The results showed a reciprocal, bidirectional association between conspiracy mentality and protective behaviour. The same effect was also observed between protective behaviour and threat of authoritarianism. We did not find evidence that specific COVID-19 related conspiracy theories directly (and differently) predict within-person changes in protective behaviour over time.

CONCLUSIONS

Our results showed that the association between various conspiracy-related variables and anti-pandemic COVID-19 variables differs at within- and between-person levels. Changes in the adherence to pro-health measures were negatively predicted by conspiracy mentality and a feeling of threat that the solutions introduced by the government may limit civil rights. Specific conspiracy beliefs were significantly related to protective behaviour only at the between-person level.