Temporal associations of emotional and social loneliness and psychosocial functioning in emerging adulthood.

Emerging adulthood is an important developmental phase often accompanied by peaks in loneliness, social anxiety, and depression. However, knowledge is lacking on how the relationships between emotional loneliness, social loneliness, social isolation, social anxiety and depression evolve over time. Gaining insight in these temporal relations is crucial for our understanding of how these problems arise and maintain each other across time. Young adults from a university sample (N = 1,357; M = 23.60 years, SD = 6.30) filled out questionnaires on emotional and social loneliness, social isolation, depressive and social anxiety symptoms at three time points within a 3-year period. Random intercept cross-lagged panel models were used to disentangle reciprocal and prospective associations of loneliness subtypes, social isolation, depressive and social anxiety symptoms across time. Results showed that on the within-person level, increases in emotional and social loneliness as well as social isolation predicted higher depression levels on later timepoints. Increases in depressive symptoms also predicted increases in subsequent social loneliness, but not in emotional loneliness. Finally, increases in depressive symptoms predicted increases in social isolation. There were no significant temporal relations between loneliness and social isolation on the one hand and social anxiety symptoms on the other hand. Social distancing imposed by COVID-19 related government restrictions may have impacted the current results. The findings suggest that emotional and social loneliness precede development of depressive symptoms, which in turn precedes development of social loneliness and social isolation, indicating a potential vicious cycle of social loneliness, social isolation and depressive symptoms in emerging adulthood. Social anxiety did not precede nor follow loneliness, depressive symptoms, or social isolation. The current study sheds more light on the temporal order of loneliness and psychopathological symptoms and hereby assists in identifying times where prevention and intervention efforts may be especially helpful to counter development of depression and loneliness.

Interventions to improve social connections: a systematic review and meta-analysis.

PURPOSE: The importance of both frequent and high-quality social connections is widely recognised. Previous reviews of interventions for promoting social connections found mixed results due to the inclusion of uncontrolled studies and merging of objective and subjective dimensions of social connections. This study aimed to compare the effectiveness of interventions designed to promote 'objective social contact' and the 'quality of social connections'; and compare the effectiveness of interventions from different theoretical orientations on these social dimensions through a systematic review and meta-analysis of controlled trials. METHODS: A systematic search of electronic databases Medline, Embase, PsycINFO and PubMed was conducted to identify randomised controlled trials of interventions for social isolation, loneliness, social participation and/or social connectedness in adults. Data were analysed using Stata V.16.0. RESULTS: Fifty-eight studies met inclusion criteria (mean age = 62 years). Overall, interventions led to significant improvements in objective social contact (Hedges' g = 0.43) and perceived quality of social connections (Hedges' g = - 0.33). Increasing access to other people was the most effective strategy for promoting objective social contact (Hedges' g = 0.67). Providing adults with skills to manage maladaptive attributional biases, fear-related avoidance of social situations, and barriers to social contact, was the most effective strategy for addressing deficits in perceived quality of social connections (Hedges' g = - 0.53). CONCLUSION: In summary, different interventions had differential effects on the frequency and quality of social relationships and associated emotional distress. Psychological interventions hold the most promise for increasing meaningful social connections and reducing distress.

Web-Based, Human-Guided, or Computer-Guided Transdiagnostic Cognitive Behavioral Therapy in University Students With Anxiety and Depression: Randomized Controlled Trial.

BACKGROUND: Internet-based cognitive behavioral interventions (iCBTs) are efficacious treatments for depression and anxiety. However, it is unknown whether adding human guidance is feasible and beneficial within a large educational setting. OBJECTIVE: This study aims to potentially demonstrate the superiority of 2 variants of a transdiagnostic iCBT program (human-guided and computer-guided iCBT) over care as usual (CAU) in a large sample of university students and the superiority of human-guided iCBT over computer-guided iCBT. METHODS: A total of 801 students with elevated levels of anxiety, depression, or both from a large university in the Netherlands were recruited as participants and randomized to 1 of 3 conditions: human-guided iCBT, computer-guided iCBT, and CAU. The primary outcome measures were depression (Patient Health Questionnaire) and anxiety (Generalized Anxiety Disorder scale). Secondary outcomes included substance use-related problems (Alcohol Use Disorder Identification Test and Drug Abuse Screening Test-10 items). Linear mixed models were used to estimate the effects of time, treatment group, and their interactions (slopes). The primary research question was whether the 3 conditions differed in improvement over 3 time points (baseline, midtreatment, and after treatment) in terms of depression and anxiety symptoms. Results were analyzed according to the intention-to-treat principle using multiple imputation. Patients were followed exploratively from baseline to 6 and 12 months. RESULTS: In both short-term and long-term analyses, the slopes for the 3 conditions did not differ significantly in terms of depression and anxiety, although both web-based interventions were marginally more efficacious than CAU over 6 months (P values between .02 and .03). All groups showed significant improvement over time (P<.001). For the secondary outcomes, only significant improvements over time (across and not between groups) were found for drug use (P<.001). Significant differences were found in terms of adherence, indicating that participants in the human-guided condition did more sessions than those in the computer-guided condition (P=.002). CONCLUSIONS: The transdiagnostic iCBT program offers a practical, feasible, and efficacious alternative to usual care to tackle mental health problems in a large university setting. There is no indication that human guidance should be preferred over technological guidance. The potential preference of human support also depends on the scale of implementation and cost-effectiveness, which need to be addressed in future trials. TRIAL REGISTRATION: International Clinical Trials Registry Platform NL7328/NTR7544; https://trialsearch.who.int/Trial2.aspx?TrialID=NL-OMON26795.

Emotional and social loneliness and their unique links with social isolation, depression and anxiety.

BACKGROUND: Loneliness and social isolation are known to be associated with depression, general anxiety, and social anxiety. However, knowledge on the overlapping and unique features of these relationships, while differentiating between social loneliness (perceived absence of an acceptable social network) and emotional loneliness (perceived absence of close connections), is lacking. METHODS: We constructed a network analysis to examine the relationships between self-reported social loneliness, emotional loneliness, social isolation, depression, general anxiety and social anxiety in a large sample of university students (N = 7314, 67.4 % female, range 16.3-75.8 years, Mage = 23.9, SDage = 5.7). Hierarchical regression analyses were used to examine whether depression, general anxiety and social anxiety moderated the relationship between social isolation and loneliness types. As comorbidity between anxiety and depression is high, the role of anxiety as a moderator in the relationship between depression and loneliness types was also examined. RESULTS: The network analysis showed that social loneliness was most strongly explained by social isolation, whereas emotional loneliness was most strongly explained by social anxiety and depression. General anxiety was solely related to loneliness through depression. The regression analyses showed that general and social anxiety and depression did not moderate the relationship between social isolation and loneliness types. LIMITATIONS: Differences found between loneliness types may be influenced by a methodological artifact of the DJGLS. CONCLUSIONS: These findings highlight the importance of social anxiety over general anxiety in relation to loneliness. Also, it showed unique relationships for social- and emotional loneliness with psycho-social variables, which has important implications for research- and clinical settings.

COVID-19 and mental health among at-risk university students: A prospective study into risk and protective factors.

OBJECTIVE: The COVID-19 pandemic has confronted young adults with an unprecedented mental health challenge. Yet, prospective studies examining protective factors are limited. METHODS: In the present study, we focused on changes in mental health in a large sample (N = 685) of at-risk university students, which were measured before and during the pandemic. Network modeling was applied to 20 measured variables to explore intercorrelations between mental health factors, and to identify risk and protective factors. Latent change score modeling was used on a subset of variables. RESULTS: The main findings indicate that (1) mental health problems increased at group level, especially depression-anxiety and loneliness; (2) emotional support during the COVID pandemic was associated with smaller increases in loneliness and depression-anxiety; (3) COVID-related stress predicted increases in depression-anxiety; (4) loneliness acted as a bridge construct between emotional support and changes in mental health. CONCLUSION: To mitigate the impact of the COVID-19 pandemic on the mental health of young adults, is it recommended to focus on interventions that strengthen internal resources (stress-regulating abilities) and reduce loneliness.