Do Cyberbullies Develop Depressive Symptoms? A Longitudinal Multi-Study

BackgroundThe COVID-19 pandemic has led to observed increases in reported mental health issues, such as depression and anxiety symptoms. There is evidence attentional bias is associated with depression and anxiety, and it has been further suggested that anxiety sensitivity has a role in both the development and maintenance of depression and anxiety symptoms. Understanding these relationships may help inform preventative interventions for those at risk of mental health concerns. The present study explores the role of anxiety sensitivity, specifically physical and cognitive concerns, as a potential mediator of the relationship between attentional bias with depression and anxiety symptoms.MethodParticipants (n = 460) were recruited from the general population in China, and completed an online survey between February and March, 2020 which included the Attention to Positive and Negative Information Scale (APNI), Anxiety Sensitivity Index-3 (ASI-3) and Depression, Anxiety and Stress Scale (DASS-21). After exploring the correlations between the measures, mediation analysis was performed to explore the role of anxiety sensitivity (physical and cognitive subscales) in the relationship between attentional bias and depression and anxiety (as measured by the DASS-21).ResultsThe results indicated that negative attention bias was significantly positively correlated with physical and cognitive concerns, physical and cognitive concerns were significantly positively correlated with depression and anxiety, and negative attention bias was significantly positively correlated with depression and anxiety (all ps < 0.001). Physical and cognitive anxiety sensitivity mediated the relationship between negative attention bias and both anxiety and depression symptoms.ConclusionNegative bias was associated with levels of anxiety and depression, and physical and cognitive anxiety sensitivity mediated associations between negative bias and anxiety and depression symptoms. The study provides theoretical support for intervention and guidance on individual mental health during the pandemic, and helps individuals increase their concern to negative emotions.

Negative life events (NLEs) are an important predictor of depressive symptoms (DS). College students experiencing NLEs are at risk of developing DS that could further weaken their academic engagement (AE), while social supports may assuage such negative effect. The aim of this study was to examine the relationship between negative life events, depressive symptoms, and academic engagement, and how the NLE-DS-AE relationship is affected by the level of social support among Chinese college students. To test this hypothesis, we applied data from the Decoding Happiness Gene Cohort Study (DHGCS). Baseline depressive symptoms and academic engagement were measured at the beginning of the first academic year. Approximately 12 months later, negative life events and social support over the past year were assessed retrospectively along with current depressive symptoms and academic engagement. A total of 3629 college students (Age = 18.67 ± 0.82) were included in the study. The prevalence of depressive symptoms was 26.7% and 36.7% in college students at the beginning of the first and second academic year, respectively. Depressive symptoms predicted subsequent academic engagement rather than the reverse based on cross-lagged analyses. Using structural equation modeling analyses, findings revealed a partial mediation effect of social support between negative life events and the development of depressive symptoms, and a partial mediation effect between negative life events and academic engagement. The findings presented negative life events jeopardize the academic engagement via depressive symptoms, while social supports are able to cancel such negative effect among college students under the Chinese cultural context.

Adolescent stress and symptoms of anxiety and depression: Resilience explains and differentiates the relationships

Mexican migration experiences to the US and risk for anxiety and depressive symptoms

Prevalence of co-occurring severe depression and psychotic symptoms in college students and its relationship with childhood maltreatment

We investigated self-reported depressive and anxiety-related symptoms among college students with dyslexia, with emphasis on the role of socially desirable responding (SDR) in understanding these reports. Analyses included examination of differences in self-reported depressive symptoms, anxiety-related symptoms, and SDR. We also examined the relationships among SDR, depressive symptoms, anxiety-related symptoms, and reading skills. Participants with dyslexia demonstrated significantly higher SDR than did participants without dyslexia, and higher SDR was significantly associated with lower self-reported depressive and anxiety-related symptoms. Moreover, higher SDR was significantly associated with lower reading skills. There was no group difference on anxiety-related symptoms, but participants with dyslexia had higher depressive symptoms than did participants without dyslexia when SDR was controlled. Implications for the assessment of anxiety and depression among college students with dyslexia are discussed. Copyright © 2017 John Wiley & Sons, Ltd.

A network analysis model was used to explore the complex associations between college students' perceived social support and depressive symptoms and problematic phone use from a specific symptom perspective;. A total of 3869 study participants were included in this study using convenience sampling from five different universities in five different provinces in China. Perceived Social Support Scale was been used to measure the perceived social support level of college students, the extent of problematic smartphone use was evaluated using the Smartphone Addiction Scale-Short Version, and the Patient Health Questionnaire-9 scale to assess the depressive symptoms. A network analysis model was used to explore the intrinsic associations between their specific symptoms of perceived social support, depressive symptoms and problematic phone use;. The results revealed that social support from family and from friends played a potentially critical role in alleviating depressive symptoms and reducing problematic phone use among college students;. The support given by family and peers is of great practical importance in reducing problematic cell phone use and controlling the development of depressive symptoms in the college population.

Acute myocardial infarction (MI) is a potentially fatal condition, leading to high psychological distress and possibly resulting in the development of depressive symptoms and posttraumatic stress symptoms (PTSS). The aim of this study was to investigate the association of clusters of positive psychosocial factors (resilience, task-oriented coping, positive affect and social support) with both MI-induced depressive symptoms and PTSS, independent of demographic factors. We investigated 154 consecutive patients with MI, 3 and 12 months after hospital discharge. All patients completed the short version of the German Resilience Scale, the Coping Inventory for Stressful Situations (CISS), the Enriched Social Support Inventory (ESSI) and the Global Mood Scale (GMS). The level of interviewer-rated MI-induced posttraumatic stress disorder (PTSD) symptoms at 3- and 12-months follow-up was evaluated through the Clinician-Administered PTSD Scale (CAPS). Depressive symptoms were assessed at 3- and 12-month follow-up with the Beck Depression Inventory (BDI-II). Three different clusters were revealed: (1) lonely cluster: lowest social support, resilience and average task-oriented coping and positive affect; (2) low risk cluster: highest resilience, task-oriented coping, positive affect and social support; (3) avoidant cluster: lowest task-oriented coping, positive affect, average resilience and social support. The clusters differed in depressive symptoms at 3 months (F = 5.10; p < 0.01) and 12 months follow-up (F = 7.56; p < 0.01). Cluster differences in PTSS were significant at 3 months (F = 4.78, p < 0.05) and 12 months (F = 5.57, p < 0.01) follow-up. Differences in PTSS subscales were found for avoidance (F = 4.8, p < 0.05) and hyperarousal (F = 5.63, p < 0.05), but not re-experiencing, at 3 months follow-up. At 12 months follow-up, cluster differences were significant for re-experiencing (F = 6.44, p < 0.01) and avoidance (F = 4.02, p < 0.05) but not hyperarousal. The present study contributes to a better understanding of the relationships among different positive psychosocial factors, depressive symptoms and PTSS following acute MI. Future interventions may benefit from taking into account positive psychosocial factors to potentially reduce patients' depressive symptoms and PTSS after MI.

To examine the association between knee pain and function and depressive symptoms in older Japanese adults. Community-based prospective cohort study. Kurabuchi Town, Gumma Prefecture, Japan. Individuals aged 65 and older (N=573; n=260 men, n=313 women) without depressive symptoms participated in baseline examinations in 2005 and 2006; 95.6% participated in follow-up interviews (2007-08). Degree of knee pain and functional impairment was assessed at baseline using a self-administered questionnaire in Japanese based on an English version of the Western Ontario and McMaster Universities Osteoarthritis Index. The Geriatric Depression Scale was used to identify depressive symptoms in face-to-face home-visit interviews conducted 2years later, and the association between knee pain and functional impairment and depressive symptoms was assessed using logistic regression. During the 2-year follow-up, 11.9% of participants developed depressive symptoms, and pain and functional impairment were found to be associated with development of these symptoms. Pain at night while in bed (adjusted odds ratio (aOR)=2.6, 95% confidence interval (CI)=1.4-4.9) and difficulty putting on socks (aOR=3.7, 95% CI: 1.8-7.5), getting into and out of a car (aOR=3.4, 95% CI=1.8-6.5), and taking off socks (aOR=3.1, 95% CI=1.5-6.5) were found to be most strongly associated with development of depressive symptoms. Examining elderly people's responses to questions about pain at night and difficulties performing daily activities may be an efficient way of identifying those at high risk of developing depressive symptoms.

We proposed and tested an integration of Coyne's (1976b) interpersonal theory of depression with work on the interplay between self-enhancement and self-consistency theory (e.g., Swann, Griffin, Predmore, & Gaines, 1987). Students' levels of depressive symptoms, reassurance-seeking, and negative feedback-seeking were assessed at Time 1 and their same-gender roommates' appraisals of them were assessed five weeks later. In line with our conceptualization, we found that depressed students reported engaging in more self-enhancing reassurance-seeking and more self-consistent negative feedback-seeking than nondepressed students at Time 1

Three studies examined negative mood regulation expectancies (NMRE) and affective traits as independent predictors of self-reported symptoms of emotional distress. NMRE represent individuals' beliefs that they can alleviate unpleasant emotional states. Stronger NMRE are associated with more adaptive coping, more positive cognition during negative moods, more effective responses under stress and less emotional distress. Affective traits represent long-term tendencies toward particular affective experiences; they confer risk for specific symptoms of emotional distress. In Study 1, NMRE, trait negative affect (TNA) and trait positive affect (TPA) were all independently associated with depression among students and staff of a German university. In Study 2, in prospective analyses among U.S. college students traits exhibited hypothesised relationships with anxiety and depressive symptoms, and NMRE uniquely predicted anhedonic depression. Study 3 revealed independent prediction of change in symptoms over time by NMRE among U.S. college students, whereas traits were not associated with change in distress, anxiety and depression symptoms. Results suggest independent roles for NMRE and traits in the development of depression and anxiety symptoms and highlight the importance of NMRE as a potential target of therapeutic intervention in the process of symptom change.

This study aimed to assess possible interactive effects of coping styles and psychological stress on depression and anxiety symptoms in Chinese patients with Type 2 diabetes. Three hundred and four patients with Type 2 diabetes underwent a face-to-face interview by trained research staff according to a standardized questionnaire including information on socio-demographic characteristics, psychological stress, coping styles and anxiety and depressive symptoms. The interactive effects of coping styles and psychological stress on depression and anxiety symptoms were assessed by hierarchical multiple regression analyses. There were significant associations of the four domains of psychological stress with anxiety and depressive symptoms, except for the relationship between 'reduced economic condition' and depressive symptoms. 'Negative coping style' significantly increased the level of both anxiety and depressive symptoms; whereas, 'active coping style' and 'avoidant coping style' decreased the risk of depressive symptoms. The interactions of 'negative coping style' with 'worrying about decline in body/physical function' and 'reduced economic condition' significantly increased the risk of anxiety and depressive symptoms, and the interaction of 'social/family crisis caused by the disease' with 'avoidance coping style' and 'worrying about decline in body/physical function' with 'active coping style' significantly decreased the risk of depressive symptoms. The results of this study suggest that certain coping styles might moderate the association of psychological stress with anxiety and depressive symptoms in Chinese patients with Type 2 diabetes.

The prevalence of depression and insufficient physical activity (PA) continue to rise in the United States, particularly among college students. PA is typically associated with decreased levels of depressive symptoms; however, the association between different intensities of PA and depressive symptoms is unclear among college students. The aim of this study was to examine how well weekly moderate PA (MPA), vigorous PA (VPA) and strength training (ST) volumes predicted depressive symptoms in college students. Students self-reported weekly MPA, VPA, ST, depressive symptoms (CESD-7), restful nights of sleep, grade point average (GPA) and socio-demographic characteristics. Four individual linear regression models were performed to examine how MPA, VPA, and ST predicted depressive symptoms. Covariates controlled for socio-demographic characteristics (gender, race/ethnicity, and sexual orientation) and other variables (GPA and sleep) that could influence depressive symptoms. Data suggested that higher volumes of VPA (β = -0.11; R2 = 0.157) and higher days of ST (β = -0.11; R 2 = 0.157) significantly predicted (p < 0.001) lower depressive symptoms. While MPA volume (β = -0.01; R 2 = 0.147) did not significantly predict depressive symptoms. Higher volumes of VPA and more days of ST participation predicts lower depressive symptoms in college students. High intensity exercise programs should be promoted at universities and throughout the young adult population. Exercise prescription may be useful and successful for students at risk of depression. Emphasis placed on these intensities will attempt to decrease depressive symptoms in students.

Depression in Type 2 diabetes is associated with obesity, cardiovascular disease, and mortality. Leptin is a plausible mediating factor because it has been related to obesity, depression, and cardiovascular disease in nondiabetic populations. We sought to assess whether leptin is related to depressive symptoms in people with Type 2 diabetes. One thousand fifty-seven subjects (48.5% women, mean [standard deviation] age = 67.9 [4.2] years) with Type 2 diabetes were assessed for depressive symptoms using the Hospital Anxiety and Depression Scale and other clinical variables by interview and physical examination. Plasma leptin was determined by radioimmunoassay. Multiple linear regression was performed to assess the relationship between depressive symptoms and ln leptin while adjusting for other covariates. A mediation analysis was performed to test whether depressive symptoms mediated the relationship between obesity and leptin. In univariate analyses, symptoms of depression were related to leptin in men (r = 0.214, p < .001) and women (r = 0.146, p = .007). When adjusting for other covariates including body mass index, ischemic heart disease, glycated hemoglobin, duration of diabetes, and treatment with antidepressants, insulin, or glucocorticoids, using a hierarchical multiple linear regression, depressive symptoms (ln Hospital Anxiety and Depression Scale-depression score) were significant only in men (B = 0.083, standard error = 0.037, p = .03). In the mediation analysis, depressive symptoms partially mediated the effect of obesity (body mass index) on leptin in men but not in women. There is a sex difference in the relationship between depressive symptoms and leptin in people with Type 2 diabetes, with a positive association in men but not in women. Adipocyte-derived factors are associated with depressive symptoms in Type 2 diabetes.

Symptoms of depression and comorbid anxiety are known risk factors for cognitive impairment in major depressive disorder (MDD). Understanding their relationships is crucial for developing targeted interventions to mitigate cognitive impairments in MDD patients. We expect that the severity of sleep disturbances and other depressive symptoms will be positively correlated with the degree of cognitive impairments. We also hypothesize that anxiety symptoms, especially psychic anxiety, is a key factor in predicting cognitive performance in MDD patients and may indirectly contribute to cognitive impairment by affecting sleep disturbances and other potential factors. To determine which dimension of the depressive and anxiety symptoms predicts cognitive impairment during a depressive episode. A comprehensive neurocognitive test battery assessed executive function, attention, processing speed, and memory in 162 medication-free MDD patients and 142 matched healthy controls. The 24-item Hamilton Depression Rating Scale was used to assess depressive symptoms, and the 14-item Hamilton Anxiety Scale was used to assess anxiety symptoms. Linear regression analyses and mediation analyses were conducted to evaluate the impact of depressive and anxiety symptoms, as well as their interactions, on cognitive impairments. Among the depressive symptoms, sleep disturbances were associated with poorer executive function (P = 0.004), lower processing speed (P = 0.047), and memory impairments (P < 0.001), and psychomotor retardation (PR) was associated with lower processing speed in patients with MDD (P = 0.019). Notably, PR was found to mediate the impact of sleep disturbances on the processing speed. Regarding anxiety symptoms, psychic anxiety, rather than somatic anxiety, was associated with cognitive impairments in all aspects. Sleep disturbances mediated the effect of psychic anxiety on executive function [β = -0.013, BC CI (-0.027, -0.001)] and memory [β = -0.149, BC CI (-0.237, -0.063)], while PR mediated its effect on processing speed (β = -0.023, BC CI (-0.045, -0.004)]. Sleep disturbances may be a key predictor of poorer executive function, lower processing speed, and memory loss, while PR is crucial for lower processing speed during a depressive episode. Psychic anxiety contributes to all aspects of cognitive impairments, mediated by sleep disturbances and PR.