Loneliness mediates the association between insecure attachment and mental health among university students

Attachment and negative affect on mental health and pain experience patients with Multiple Sclerosis: Mediated by coping strategies and loneliness

BACKGROUND

Multiple sclerosis and its related stressors significantly affect the mental health of people with MS. Considering the progressive and relapsing-remitting nature of the disease and somatic complaint, the Pain experience for MS patients is challenging. We examined the direct effects of Attachment and the negative affect on mental health and pain experience and the indirect effects of Attachment, negative affect, loneliness, and coping strategies on the mental health and pain experience of people with multiple sclerosis.

METHODS

Three hundred forty-five patients with MS were selected through the Iranian MS Association. Measures included the negative affect (PANAS), Adult Attachment Inventory (AAI), General Health Questionnaire (GHQ28), short-form McGill pain questionnaire (SF-mpq-2), Social and emotional loneliness scale for adults (SELSA-S), Coping Inventory for Stressful Situations(CISS-21). The present study has employed the Structural Equation Model (SEM) to investigate the direct and indirect effects of coping strategies, attachment, loneliness, and negative affect on mental health and pain experienced by individuals with MS. The fit of the model to the data was examined using the Discrepancy Function Divided by Degrees of Freedom (CMIN/DF), Normed Fit Index (NFI), TuckerLewis Index (TLI), Comparative Fit Index (CFI), and Root Mean Square Error of Approximation (RMSEA).

RESULTS

The fit indices results showed that the model's fit was good. Furthermore, findings indicate that 13 % (R2=13) of the pain experience Changes and 47 % (R2=47) of the mental health Changes are explained via study predictors. Negative affect directly affects mental health and pain experience, and Attachment directly affects mental health. Negative affect indirectly affects coping strategies. Attachment and Negative affect indirectly affect loneliness. Loneliness and coping strategies indirectly affect mental health and pain experience.

CONCLUSION

Study findings contribute to our understanding of the crucial structures that play a role in the mental health and pain experience of individuals with MS. Loneliness and coping strategies as mediating variables play essential roles in these people's mental health and pain experience. In the times ahead, it would be beneficial to prioritize addressing negative affect, attachment, coping strategies, and loneliness in the patients with MS' medical and psychological intervention.

[Old age and attachment theory, a systematic review of attachment typology, continuity, prevalence and association with psychological and health variables in older adults]

The aim of this paper is to review the research on attachment theory during old age in the last 10 years, in order to obtain: a) the prevalence of different types of attachment, b) the assessment of attachment methods, c) the relationship established between attachment and other psychosocial and health variables in the aging process. A systematic search of PsycINFO, PsycArticles, WOS, and Scopus identified 17 studies, in which attachment had been assessed in a population of 7118 older adults. The results of this research present a clear evolution and some differences, with respect to the previous systematic 2010 review. Regarding the prevalence of the different types of attachment, it is confirmed that secure attachment and avoidant attachment are more abundant in old age than in adulthood or youth people. There is no consensus on the instruments used for the evaluation, and results are presented that associate insecure attachment with depression, life satisfaction, physical illness and loneliness. The attachment construct appears as an explanatory and mediating variable, directly involved in the psychology and psychopathology of old age.

Loneliness and its associated factors among university students during late stage of COVID-19 pandemic: An online cross-sectional study

BACKGROUND

The COVID-19 pandemic resulted in a number of psychosocial and emotional catastrophes, including loneliness. The associated lockdowns, reduced social support, and insufficiently perceived interactions are expected to heighten the level of loneliness during the pandemic. However, there is a dearth of evidence regarding the level of loneliness and what correlates with loneliness among university students in Africa, particularly in Ethiopia.

OBJECTIVES

The general objective of this study was to assess the prevalence and associated factors of loneliness among university students during the COVID-19 pandemic in Ethiopia.

METHODS

A cross-sectional study was undertaken. An online data collection tool was distributed to voluntary undergraduate university students. The sampling technique used was snowball sampling. Students were requested to pass the online data collection tool to at least one of their friends to ease data collection. SPSS version 26.0 was used for data analysis. Both descriptive and inferential statistics were used to report the results. Binary logistic regression was used to identify factors associated with loneliness. A P-value less than 0.2 was used to screen variables for the multivariable analysis, and a P-value less than 0.05 was used to declare significance in the final multivariable logistic regression.

RESULT

A total of 426 study participants responded. Out of the total, 62.9% were males, and 37.1% attended fields related to health. Over three-fourths (76.5%) of the study participants encountered loneliness. Females (adjusted odds ratio (AOR): 1.75; 95% confidence interval (CI): 1.01, 3.04), non-health-related departments (AOR: 1.94; 95% CI: 1.17, 3.35), ever encountering sexual harassment (AOR: 3.32; 95% CI: 1.46, 7.53), sleeping problems (AOR: 2.13; 95% CI: 1.06, 4.30), perceived stress (AOR: 6.40; 95% CI: 1.85, 22.19) and poor social support (AOR: 3.13; 95% CI: 1.10, 8.87) were significantly associated with loneliness.

CONCLUSION AND RECOMMENDATION

A significant proportion of students were victims of loneliness during the COVID-19 pandemic. Being female, working in non-health-related fields, having sleeping problems, encountering sexual harassment, perceived stress, and poor social support were significantly associated with loneliness. Interventions to reduce loneliness should focus on related psychosocial support to reduce stress, sleeping disturbances, and poor social support. A special focus should also be given to female students.

Dynamics and moderating factors of esport participation and loneliness: A daily diary study

The purpose of this study was to examine the association between esport participation and loneliness, as well as its moderating factors. Chinese college students (N = 216) self-reported their esport playing time and degree of loneliness each day immediately before bedtime for four consecutive weeks. The findings revealed that as playing time increased, students did not experience reduced sense of loneliness during playing esport, but they experienced a temporary and intensified feeling of loneliness the same day following gameplay. Students with higher general loneliness tended to feel more after-game loneliness associated with increased esport participation. Students with higher obsessive passion about esport tended to experience more loneliness (both in-game and after-game) associated with increased esport participation. Students with greater coping motivation about esport tended to experience more in-game loneliness associated with previous increased esport participation. Students who played esport less often with friends in person, or with more escape motivation toward esport, tended to increase esport participation time more following previous increased after-game loneliness. The findings suggested that college students should avoid utilizing esport to achieve a sense of belonging and should be cautious of the loneliness-inducing effect after gameplay. A healthy level of loneliness can be maintained by playing esport more with friends in person, learning strategies to avoid obsessive passion, coping motivation, and escape motivation towards esport.

Factors Associated with Mental Health among Malaysian University Music Students: Roles of Fear of COVID-19, Nomophobia, Loneliness, Sleep Quality, and Socioeconomic Status

Previous mental health studies have shown higher levels of anxiety, stress, and depression symptoms among university music students. In general, some similar findings have been observed for Malaysian music university students. In diagnosing the complications of mental health, there is consensus that it is essential to develop and evaluate a model oriented toward mental health illness prevention and treatment. To date, a suitable pattern for estimating mental health in terms of anxiety, stress, and depression among music university students is lacking. To fill this gap, we collected the necessary data from 691 music and 871 general students who were students for one year. The introduced pattern includes socioeconomic status, fear of COVID-19, nomophobia, sleep quality, loneliness, and mental health. Our data analysis proved that the levels of anxiety, depression, and stress of music students were lower than those of general students. Unlike some previous studies, in this study, the fear of COVID-19 and nomophobia didn't have the most significant impact on mental health. The most significant impacts were related to sleep quality and loneliness. These findings have the potential to inform health promotion and services in the music education system.

Machine learning models for predicting risk of depression in Korean college students: Identifying family and individual factors

Background

Depression is one of the most prevalent mental illnesses among college students worldwide. Using the family triad dataset, this study investigated machine learning (ML) models to predict the risk of depression in college students and identify important family and individual factors.

Methods

This study predicted college students at risk of depression and identified significant family and individual factors in 171 family data (171 fathers, mothers, and college students). The prediction accuracy of three ML models, sparse logistic regression (SLR), support vector machine (SVM), and random forest (RF), was compared.

Results

The three ML models showed excellent prediction capabilities. The RF model showed the best performance. It revealed five significant factors responsible for depression: self-perceived mental health of college students, neuroticism, fearful-avoidant attachment, family cohesion, and mother's depression. Additionally, the logistic regression model identified five factors responsible for depression: the severity of cancer in the father, the severity of respiratory diseases in the mother, the self-perceived mental health of college students, conscientiousness, and neuroticism.

Discussion

These findings demonstrated the ability of ML models to accurately predict the risk of depression and identify family and individual factors related to depression among Korean college students. With recent developments and ML applications, our study can improve intelligent mental healthcare systems to detect early depressive symptoms and increase access to mental health services.

Mental Health Study from the Perspective of Behavior Preference under the Environment of Internet Media: Based on China's Data Analysis

To prevent the mental health problems of college preference students effectively, this paper analyzes the influence of college students' internet media use behaviors on their mental health in the information age. We make an empirical study on the above problems by using metrology models under the condition of controlling individual factors. The result shows that the mental health of college students is significantly affected by different internet media use behaviors and shows obvious heterogeneity. Preference for games and soap operas or films has a significant negative relationship with the mental health of college students, while the preference for science, education programs, and the preference to obtain current political news comments through official media have a positive impact on the psychological security of college students. Meanwhile, the mental health of college students is also significantly influenced by individual factors. The education level, family income, and social satisfaction show a significant positive correlation with the mental health of college students.

Attachment and Mental Health in the COVID-19 Pandemic: Posttraumatic Growth and Religion as Moderators

Consistent with the teachings in various religious traditions of finding meaning amidst suffering, we suspected that Posttraumatic Growth (PTG) would have a buffering effect on attachment insecurity and psychosocial outcomes. We examined the effects of anxious and avoidant attachment, PTG, and religion on psychosocial outcomes (i.e., anxiety, depression, and loneliness). Data from 466 participants recruited from Amazon Mechanical Turk (MTurk) and a college student sample revealed that PTG served as a moderator between anxious attachment and (a) depression and (b) loneliness, and (c) PTG buffered the relationship between anxious attachment and anxiety to a greater extent among Christians, compared to non-Christians. On the other hand, (a) PTG did not moderate the link between attachment avoidance and depression, (b) PTG exacerbated the relationship between attachment avoidance and anxiety, and (c) PTG buffered the association between attachment avoidance and loneliness for non-Christians, but this link was amplified for Christians. We discuss the findings that PTG interacted with religion and offered protective effects for anxious (but not avoidant) attachment. Factors that may have contributed to the difference between the two attachment styles are discussed, along with implications from cultural-religious and adult attachment frameworks.

Is Increased Video Game Participation Associated With Reduced Sense of Loneliness? A Systematic Review and Meta-Analysis

The purpose of this systematic review was to evaluate the existing evidence in literature addressing the relationship between video game participation and loneliness. The following databases were searched on October 2, 2021: Medline, Psychinfo, SportDiscus, Web of Science, and CINAHL. The risk of bias of cross-sectional study was assessed by using the Joanna Briggs Institute (JBI) critical appraisal checklist for analytical cross-sectional studies with attrition bias added for longitudinal studies. The results of all included studies were synthesized using narrative synthesis. Meta-analysis was utilized to synthesis the findings of the studies that had sufficient degree of statistical and methodological homogeneity. Eighteen studies were included in this systematic review, which comprised of 20,372 participants. The narrative synthesis showed mixed findings on the relationship between video game participation and loneliness. Meta-analysis that was conducted to nine cross-sectional studies revealed that video game participation was positively and weakly associated with loneliness (r = 0.10, 95% CI = 0.03-0.17). Both cross-sectional and longitudinal studies demonstrated serious risk of bias with the addition of serious inconsistency of findings from cross-sectional studies. The existing literature is equivocal in terms of making a definitive judgment on the association between video game participation and loneliness. PROSPERO registration number: CRD42021283025. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO, identifier: CRD42021283025.

Attachment style and mental health during the later stages of COVID‐19 pandemic: the mediation role of loneliness and COVID-19 anxiety

Background

An insecure attachment style is an important risk factor for psychological problems. The aim of this study was to use Bartholomew and Horowitz’s model (Bartholomew and Horowitz in J Pers Soc Psychol 61(2): 226, 2019) to test a sample of Italian individuals to determine the mediation role of loneliness and COVID-19-related anxiety symptoms in the relationship between attachment styles and mental health issues in the context of the pandemic.

Method

A cross-sectional research study was conducted using a sample of 330 Italian participants (82.1% women; mean age = 34.3 years; SD = 13.16) who completed online self-reported measures of attachment styles (RQ), loneliness (RULS), COVID-19-related anxiety symptoms (C-19ASS) and mental health problems (GHQ-12). Serial mediation analyses were performed, and bootstrap tests were included.

Results

Our results supported the hypothesized model with respect to each attachment style (p < 0.001). In particular, insecure attachment styles predict mental health problems both directly and indirectly, through loneliness and COVID-19-related anxiety symptoms. In addition, loneliness directly influences mental health problems and also mediates the relationship between insecure attachment styles and COVID-19-related anxiety symptoms which, in turn, positively predict mental health problems.

Conclusions

Our findings reinforce the importance of attachment in people’s processes of adapting to experiences during the coronavirus pandemic. The study makes an important contribution to developing effective prevention and intervention strategies to support people’s wellbeing in the context of the pandemic.