The longitudinal relation between loneliness and perceived stress: A structural equation modelling analysis of 10,159 individuals

Smartphone addiction, depression, distress, eustress, loneliness, and sleep deprivation in adolescents: a latent profile and network analysis approach

BACKGROUND

Previous research on adolescent smartphone addiction has tended to focus on general populations that are assumed to be homogeneous, overlooking latent profiles. Furthermore, previous research has not focused on potentially important differences in the latent profiles of adolescent smartphone addiction in networks. The present study aimed to reveal the latent profiles of smartphone addiction, depression, stress, eustress, loneliness, and sleep deprivation in adolescents, and general and latent profiles were examined in the network.

METHODS

The study group consisted of 436 (222 boys and 214 girls) adolescents, aged between 13 and 18 years. The findings of the present study were provided using Pearson correlation, ANOVA, latent profile analysis and network analysis. The data were analyzed using SPSS, JASP, and Mplus.

RESULTS

The results of the study showed solutions with three latent profiles. The non-addicted group constituted 20.87%, the addicted group covered 29.82% and the risky group included 49.31% of the study group. Although the general profile and the addicted latent group had similar characteristics, the differences in the risky and non-addicted groups contributed to the current literature by providing a further and remarkable perspective on smartphone addiction, depression, distress, eustress, loneliness, and sleep deprivation in adolescents.

CONCLUSIONS

The theoretical and practical implications of the present results will provide contributions to researchers and practitioners in understanding smartphone addiction.

Factors associated with loneliness, depression, and anxiety during the early stages of the COVID-19 pandemic

The COVID-19 pandemic was an unparalleled stressor that enhanced isolation. Loneliness has been identified as an epidemic by the US Surgeon General. This study aimed to: (1) characterize longitudinal trajectories of loneliness during the acute phase of the COVID-19 pandemic; (2) identify longitudinal mediators of the relationship of loneliness with anxiety and depression; and (3) examine how loneliness naturally clusters and identify factors associated with high loneliness. Two hundred and twenty-nine adults (78% female; mean age = 39.5 ± 13.8) completed an abbreviated version of the UCLA Loneliness Scale, Perceived Stress Scale, Emotion Regulation Questionnaire, State Anxiety Inventory, and Patient Health Questionnaire-8 longitudinally between April 2020 and 2021. Trajectory analyses demonstrated relatively stable loneliness over time, while anxiety and depression symptoms declined. Longitudinal analyses indicated that loneliness effects on anxiety and depression were both partially mediated by perceived stress, while emotion regulation capacity only mediated effects on anxiety. Three stable clusters of loneliness trajectories emerged (high, moderate, and low). The odds of moderate or high loneliness cluster membership were positively associated with higher perceived stress and negatively associated with greater cognitive reappraisal use. Our results demonstrate the important interconnections between loneliness and facets of mental health throughout the early phases of the pandemic and may inform targeted future interventions for loneliness work.

Loneliness, sleep and daily stress: Evidence of direct and indirect effects

This study investigated: i) the effects of loneliness on self-reported sleep outcomes and daily stress/hassles, ii) whether the effects of loneliness on sleep outcomes were mediated through prior-day stress/hassles and iii) if the effects of loneliness on daily stress/hassles were mediated through prior-night sleep measures. Using a 7-day diary design, this study aimed to investigate relationships between loneliness, daily sleep outcomes and daily stress/hassles. Participants (N = 174, Mage 19.95, 86.2% female) completed the UCLA Loneliness Scale once before a 7-day online diary twice per day. Measures of daily stress and hassles were completed before bed and sleep outcomes the following day. Multilevel modelling found higher levels of loneliness were associated with poorer sleep quality, greater pre-sleep arousal, morning tiredness, fewer total hours slept and higher levels of daily stress and hassles across the 7-day study. Loneliness was found also to have indirect effects on sleep quality, pre-sleep arousal and morning tiredness through prior-day daily stress and hassles. In addition, loneliness also had indirect effects on daily stress and hassles through prior night sleep measures. The current findings suggest that interventions aimed at mitigating the effects of loneliness should also incorporate components that target modifiable risk factors such as sleep and stress.

Interaction between mental disorders and social disconnectedness on mortality: a population-based cohort study

BACKGROUND

Despite the recognised importance of mental disorders and social disconnectedness for mortality, few studies have examined their co-occurrence.

AIMS

To examine the interaction between mental disorders and three distinct aspects of social disconnectedness on mortality, while taking into account sex, age and characteristics of the mental disorder.

METHOD

This cohort study included participants from the Danish National Health Survey in 2013 and 2017 who were followed until 2021. Survey data on social disconnectedness (loneliness, social isolation and low social support) were linked with register data on hospital-diagnosed mental disorders and mortality. Poisson regression was applied to estimate independent and joint associations with mortality, interaction contrasts and attributable proportions.

RESULTS

A total of 162 497 individuals were followed for 886 614 person-years, and 9047 individuals (5.6%) died during follow-up. Among men, interaction between mental disorders and loneliness, social isolation and low social support, respectively, accounted for 47% (95% CI: 21-74%), 24% (95% CI: -15 to 63%) and 61% (95% CI: 35-86%) of the excess mortality after adjustment for demographics, country of birth, somatic morbidity, educational level, income and wealth. In contrast, among women, no excess mortality could be attributed to interaction. No clear trends were identified according to age or characteristics of the mental disorder.

CONCLUSIONS

Mortality among men, but not women, with a co-occurring mental disorder and social disconnectedness was substantially elevated compared with what was expected. Awareness of elevated mortality rates among socially disconnected men with mental disorders could be of importance to qualify and guide prevention efforts in psychiatric services.

The relationship between loneliness and the experiences of everyday stress and stressor-related emotion

Loneliness influences how people experience and respond to stressors, which may account for its role as a risk factor for morbidity and mortality. The present study was motivated by emerging evidence that affective responses to minor daily events have long-term implications for health and well-being. Specifically, we evaluated how individual differences in loneliness relate to the frequency of everyday stressors and stressor-related negative emotions. A diverse community sample of 255 adults (age 25-65 years) completed ecological momentary assessments (EMA), during which they reported recent stressors and current negative affect (NA) five times a day for 14 days. Multilevel logistic analyses indicated that there was a quadratic association between loneliness and likelihood of reporting stressors, controlling for demographics, social isolation, depressive symptoms, and context (current activities, current location). Multilevel regression indicated that loneliness was unrelated to the concurrent effect of stressors on NA but significantly larger lagged stressor effects were observed among individuals in the low and high ranges of loneliness. These findings suggest that individuals with high levels of loneliness are more likely to experience everyday stressors and have prolonged emotional responses following stressors.

Negative Social Exchanges During the Pandemic, Loneliness, and the Mediating Role of Stress and Feeling Misunderstood Among People at High-Risk for COVID-19 Related Complications

The goal of this study was to investigate the links between social interactions and mental health for people who are high-risk for COVID-19 complications. Specifically, we tested the relationships between negative social exchanges during the pandemic and loneliness through two mediators: stress and feeling misunderstood about one's health status. Data were collected via Amazon's MTurk from participants (N = 271) who self-identified as being high-risk for COVID-19. The results from our model showed both a direct association between negative social interactions and loneliness, and an indirect link between these variables through stress. Overall, these results highlight the importance of understanding social interactions for people who are at high-risk for COVID-19 and their mental well-being. The results and implications are discussed.

Loneliness Among Older Indian Workers: Findings From the Longitudinal Ageing Study in India

The number of adults aged 60 years and over who work is growing. However, there has been relatively limited research assessing the determinants of wellbeing in this cohort. Given the known relationship between loneliness and socioeconomic disadvantage, the present analysis assessed the role of working conditions and food security on loneliness among employed Indians aged 60 years and over (N = 9035), using data from wave 1 of the Longitudinal Ageing Study in India. Just over 11% of participants reported being lonely most or all of the time. Food insecurity and work that involved exposure to unpleasant conditions was associated with increased loneliness, while work requiring more mental effort was associated with lower loneliness. Policies that ensure skills training to support job transitions for older adults working in unpleasant conditions, and greater food security in later life are important to ensure wellbeing in this group.

Lonely and scrolling during the COVID-19 pandemic: understanding the problematic social media use and mental health link among university students

Introduction

Undergraduate university students experienced many academic and non-academic stressors during the first year of the coronavirus (COVID-19) pandemic, putting them at a greater risk of negative mental health outcomes. Reports worldwide have shown high incidences of depressive, anxiety, and stress scores among university students at the beginning of the pandemic. Emerging evidence also suggests that to cope with the stress and loneliness of the pandemic, many youth and young adults increased the amount of time they spent on social media platforms.

Methods

Undergraduate students participated in an online study aimed to understand the link between time spent on social media, coping through the use of social media and problematic social media use (PSMU) with mental health symptoms, such as stress, depression, anxiety, and loneliness, during the COVID-19 pandemic.

Results

While time spent on social media was only weakly associated with stress, depression, anxiety and loneliness scores, PSMU more strongly mapped onto these outcomes. Additionally, students who were coping highly using social media displayed elevated stress, depression, anxiety and loneliness levels in comparison to those reporting low levels of coping with social media. Finally, students who reported high levels of coping using social media displayed higher PSMU scores, with this relationship appearing more pronounced in students who had higher levels of loneliness.

Conclusion

These data support evidence that it is not necessarily time spent on social media but rather PSMU that is relevant for mental health symptoms, and that PSMU is exacerbated by loneliness. Moreover, the current results highlight the effects of maladaptive coping on mental health symptoms and PSMU among university students during the COVID-19 pandemic.