Depressive symptoms and loneliness among early adolescents: a psychometric network analysis approach

BACKGROUND

Previous studies demonstrate a high prevalence of depression and loneliness among adolescents. Although they often co-occur, the relationship between symptoms of depression and loneliness remains poorly understood. This study investigates: (a) the symptoms of depression that are connected to loneliness; (b) the role played by loneliness in the network of depression symptoms; and (c) whether the method used to measure loneliness (single-item direct or multi-item indirect) affects the relationship of loneliness with depressive symptoms.

METHODS

Participants were 496 Polish adolescents (50.8% girls) aged 11 to 13, who completed: (a) the 10-item Major Depressive Disorder subscale of the Revised Child Anxiety and Depression Scale; (b) the 11-item De Jong Gierveld Loneliness Scale (indirect loneliness), and (c) a single direct question evaluating loneliness: 'I'm lonely'. Networks were estimated using a Gaussian Graphical Model.

RESULTS

Loneliness shows a direct relationship with three affective symptoms of depression: sadness, worthlessness, and anhedonia, which mediate relationships with somatic symptoms. In contrast to previous studies, loneliness has the lowest level of centrality among all elements of the network. The method used to assess loneliness did not significantly affect the connections between loneliness and depressive symptoms.

CONCLUSIONS

Loneliness and depression overlap since they are formed by the same cognitive biases and deficits in emotion regulation but differ in the level of generality. In loneliness, they have an interpersonal context, while symptoms of depression can be intrapersonal. This helps us to understand why cognitive interventions, as compared to those which are social, are more effective in reducing loneliness.

Young people's happiness in the context of negative life events and coping strategies: a latent profile and latent class analysis

Young people have to cope with many negative life events and stress factors to maintain their happiness. Although there are studies on how they benefit from different coping strategies and their results, there is no study that profiles/groups young people according to negative life events and coping styles. From this point of view, the study aims to determine different life events classes and stress coping profiles in young people, and to examine the differences in happiness among the new groups created according to the discovered classes and profiles. Participants consisted of 1093 young people (M = 21.08) from different state universities in Turkey. Latent profile analysis (LPA) was conducted, resulting in a 3 profile solution characterizing coping strategies: Positive-oriented (26.8%), slightly positive-oriented (50%), and negative-oriented (23.2%) coping strategy profiles. Latent class analysis (LCA) was conducted, resulting in a 2 class solution characterizing negative life events: More negative (40.1%) and less negative (59.9%) life events classes. For the purpose of the study, the profiles created with the latent profile analysis and the latent class analysis were considered together and the participants were divided into 6 groups. These groups differed significantly in terms of happiness. The group with the highest level of happiness is the group with positive-oriented coping strategies and less negative life conditions (μ = 4.35, p < .001), and the group with the lowest level of happiness is the group with negative-oriented coping strategies and more negative life conditions (μ = 3.48, p < .001). However, the findings indicated that a positive-oriented coping strategy profile (the profile that scored high on positive coping strategies and low on negative coping strategies) offers the most promising route to happiness whether experienced negative life events are less or more.

Neighbourhood effects on loneliness among adolescents

BACKGROUND

Loneliness is a growing public health concern, but little is known about how place affects loneliness, especially during adolescence. This is the first study to examine the influence of neighbourhoods on loneliness in early-to-mid adolescence.

METHODS

Baseline data from the #BeeWell cohort study in Greater Manchester (England), including 36 141 adolescents (aged 12-15 years) across 1590 neighbourhoods, were linked to neighbourhood characteristics using administrative data at the level of lower super output areas and analysed using multilevel regression.

RESULTS

Neighbourhood differences explained 1.18% of the variation in loneliness. Ethnic, gender and sexual orientation inequalities in loneliness varied across neighbourhoods. Several neighbourhood characteristics predicted loneliness at the individual level, including skills deprivation among children and young people, lower population density and perceptions of the local area (feeling safe; trust in local people; feeling supported by local people; seeing neighbours as helpful; the availability of good places to spend free time). Finally, a longer distance from home to school was associated with significantly higher loneliness.

CONCLUSIONS

Neighbourhoods account for a small but significant proportion of the variation in adolescent loneliness, with some neighbourhood characteristics predicting loneliness at the individual level, and loneliness disparities for some groups differing across neighbourhoods.

Mental health and loneliness in Scottish schools: A multilevel analysis of data from the health behaviour in school-aged children study

BACKGROUND

Adolescent loneliness and poor mental health represent dual public health concerns. Yet, associations between loneliness and mental health, and critically, how these associations vary in school settings are less understood.

AIMS

Framed by social-ecological theory, we aimed to identify key predictors of adolescent mental health and examine school-level variation in the relationship between loneliness and mental health.

SAMPLE

Cross-sectional data on adolescents from the 2018 wave of the Health Behaviour in School-aged Children study (HBSC) in Scotland were used (N = 5286).

METHODS

Mental health was measured as a composite variable containing items assessing nervousness, irritability, sleep difficulties and feeling low. Loneliness was measured via a single item assessing how often adolescents felt 'left out'. Multilevel models were used to identify social-ecological predictors of mental health, associations with loneliness and between-school variation.

RESULTS

Loneliness, as well as demographic, social and school factors, was found to be associated with mental health. Mental health varied across schools, with the between-school difference greater among adolescents with high levels of loneliness. Additionally, the negative effect of loneliness on mental health was stronger in schools with lower average mental health scores.

CONCLUSIONS

The findings suggest that schools can play an important role in shaping adolescent mental health. Our study uniquely identifies that school-based interventions targeting mental health may be especially necessary among lonely adolescents, and programmes aimed at tackling loneliness may be more beneficial in schools with poorer mental health.

Loneliness During the School Years: How It Affects Learning and How Schools Can Help. THE JOURNAL OF SCHOOL HEALTH 2023;93:428-435. [PMID: 36861756 DOI: 10.1111/josh.13306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0]

BACKGROUND

Substantial evidence links loneliness to poor academic outcomes and poor employment prospects. Schools have been shown to be places that mitigate or aggravate loneliness, suggesting a need to consider how schools can better support youth experiencing loneliness.

METHODS

We conducted a narrative review on loneliness in childhood and adolescence to examine the literature on how loneliness changes over the school years and how it influences learning. We also examined whether there were increases in loneliness because of the COVID-19 pandemic and associated school closures, and whether schools can be places for loneliness interventions/prevention.

FINDINGS

Studies describe how loneliness becomes more prevalent during the adolescent years and why that is the case. Loneliness is associated with poor academic outcomes and poor health behaviors that impact learning or turn students away from education. Research shows that loneliness increased during the COVID-19 pandemic. Evidence suggests that creating positive social classroom environments, where teacher and classmate support are available, is crucial in combatting youth loneliness.

CONCLUSIONS

Adaptations to the school climate can be made to meet the needs of all students, reducing loneliness. Investigation of the impacts of school-based loneliness prevention/intervention is crucial.

Hello Darkness, My Old Friend: Moderating a Random Intercept Cross-lagged Panel Model of Loneliness and Symptoms of Anxiety and Depression

The present study investigated the trait- and state-like associations between loneliness and symptoms of anxiety and depression during three years in middle to late adolescence. The moderating effect of gender and social self-efficacy was examined on the hypothesised model. The sample consisted of 1508 Norwegian upper secondary school students (61% female; mean age at T1 = 16.33; 52.9% high socioeconomic position; 70.6% Norwegian-born). We found 1) strong and positive trait- and state-like associations between loneliness and symptoms of anxiety and depression, 2) that anxiety and depressive symptoms consistently predicted later loneliness but not the other way around, 3) that gender moderated parts of the state-like associations between loneliness and symptoms of anxiety and depression, and 4) that social self-efficacy had no moderating effect on the longitudinal relationship between loneliness and anxiety and depressive symptoms. The present study might inform future research, theory development, and intervention strategies in middle to late adolescent samples.

How (Not) to Measure Loneliness: A Review of the Eight Most Commonly Used Scales

Loneliness affects well-being and has long-term negative impacts on physical and mental health, educational outcomes, and employability. Because of those current and long-term impacts, loneliness is a significant issue for which we need reliable and appropriate measurement scales. In the current paper, psychometric properties of the eight most commonly used loneliness scales are reviewed both descriptively and meta-analytically. Results suggest that for many of the scales, the psychometric properties are promising. However, for some psychometric features, especially test-retest reliability and measurement invariance, evidence is rather scarce. Most striking, however, is the fact that all of the scales included items that do not measure loneliness. Surprisingly, for many (sub)scales, this was even the case for about half of the items. Because our measures are the foundation of our research work, it is crucial to improve the way loneliness is being measured.

Measuring Loneliness in Different Age Groups: The Measurement Invariance of the UCLA Loneliness Scale

Age differences in the prevalence of loneliness have been a key focus among researchers, practitioners, and policy makers. However, the degree to which those reflect genuine differences in the experience of loneliness or the way individuals understand and respond to loneliness measures is yet to be examined. The current study explored the age measurement invariance of the 20-item Revised University of California Los Angeles, Loneliness Scale (UCLA-LSR) and its shorter forms in a U.K. sample of adults aged 18 to 99 years (M = 50.6, SD = 19.7). The fit of different structures/versions was explored through multigroup confirmatory factor analysis (CFA; N = 4,375) and local structural equation modeling (N = 19,521). Results indicated a poor and/or inconsistent structure for the 20-item UCLA-LSR and many of its shorter forms. Of the structures considered, 12 showed acceptable model fit and received age measurement invariance testing through multigroup CFA and alignment; 10 of these achieved full, partial, or approximate measurement invariance. Our findings suggest that the age measurement invariance of loneliness measures should not be assumed, and crucially, this must be explored before accurate and meaningful age comparisons can be made. Implications for measurement research, and clinical and community practice, are discussed.