Comparison of depression and anxiety symptom networks in reporters and non-reporters of lifetime trauma in two samples of differing severity.

BackgroundHigh neuroticism is a well-established risk for present and future depression and anxiety, as well as an emerging target for treatment and prevention. The current analyses tested the hypothesis that physical, social and socio-economic disadvantages each amplify risks from high neuroticism for longitudinal increases in depression and anxiety symptoms.MethodA national sample of adults (n = 7108) provided structured interview and questionnaire data in the Midlife Development in the United States Survey. Subsamples were reassessed roughly 9 and 18 years later. Time-lagged multilevel models predicted changes in depression and anxiety symptom intensity across survey waves.ResultsHigh neuroticism predicted increases in a depression/anxiety symptom composite across retest intervals. Three disadvantage dimensions – physical limitations (e.g. chronic illness, impaired functioning), social problems (e.g. less social support, more social strain) and low socio-economic status (e.g. less education, lower income) – each moderated risks from high neuroticism for increases in depression and anxiety symptoms. Collectively, high scores on the three disadvantage dimensions amplified symptom increases attributable to high neuroticism by 0.67 standard deviations. In contrast, neuroticism was not a significant risk for increases in symptoms among participants with few physical limitations, few social problems or high socio-economic status.ConclusionsRisks from high neuroticism are not shared equally among adults in the USA. Interventions preventing or treating depression or anxiety via neuroticism could be targeted toward vulnerable subpopulations with physical, social or socio-economic disadvantages. Moreover, decreasing these disadvantages may reduce mental health risks from neuroticism.

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Predictors of depression and anxiety symptom trajectories in the 24 months following diagnosis of breast or gynaecologic cancer

The Breast ◽

10.1016/j.breast.2016.01.008 ◽

2016 ◽

Vol 26 ◽

pp. 100-105 ◽

Cited By ~ 11

Author(s):

Lesley Stafford ◽

Angela Komiti ◽

Chad Bousman ◽

Fiona Judd ◽

Penny Gibson ◽

...

Keyword(s):

Anxiety Symptom ◽

Depression And Anxiety ◽

Symptom Trajectories ◽

Gynaecologic Cancer ◽

Predictors Of Depression

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Proneness to Boredom Mediates Relationships Between Problematic Smartphone Use With Depression and Anxiety Severity

Social Science Computer Review ◽

10.1177/0894439317741087 ◽

2017 ◽

Vol 36 (6) ◽

pp. 707-720 ◽

Cited By ~ 39

Author(s):

Jon D. Elhai ◽

Juanita K. Vasquez ◽

Samuel D. Lustgarten ◽

Jason C. Levine ◽

Brian J. Hall

Keyword(s):

College Students ◽

Symptom Severity ◽

Structural Equation ◽

Anxiety Symptom ◽

Equation Modeling ◽

Depression And Anxiety ◽

Cross Sectional ◽

Problematic Smartphone Use ◽

Smartphone Use ◽

Boredom Proneness

Research demonstrates that depression and anxiety symptom severity are related to problematic smartphone use (PSU). However, less is known about variables mediating these relationships. This study aimed to test whether proneness to boredom increased PSU. We also tested whether boredom proneness mediates relations between both depression and anxiety symptom severity with PSU. Using a cross-sectional design, we surveyed 298 American college students about their frequency of smartphone use, levels of PSU, depression, anxiety, and boredom proneness. Using structural equation modeling, we modeled depression and anxiety symptom severity predicting boredom proneness, in turn predicting levels of PSU and smartphone use frequency (SUF). Results demonstrate that boredom proneness predicted PSU, but not SUF. Boredom proneness mediated relations between both depression and anxiety symptom severity with PSU levels (but not usage frequency). We discuss the phenomenon in terms of depressed or anxious college students having difficulty attending to their schoolwork, subsequently experiencing boredom, and engaging in PSU to relieve their boredom.

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Validation of the Serbian Translation of the Disgust Propensity and Sensitivity Scale (DPSS)

Psihologijske teme ◽

10.31820/pt.29.3.8 ◽

2020 ◽

Vol 29 (3) ◽

pp. 631-648

Author(s):

Nikola Rokvić

Keyword(s):

Social Network ◽

Future Research ◽

Depression And Anxiety ◽

Disgust Sensitivity ◽

Factor Solution ◽

Student Sample ◽

The Social ◽

Two Samples ◽

Confirmatory Factor ◽

Disgust Propensity

Disgust represents a feeling of revulsion and is manifested as a response to adverse stimuli and indicates a motivation to withdraw from the stimulus. Several attempts were made to measure disgust, the earliest being the Disgust Sensitivity Scale (Haidt et al., 1994) that relied on responses to disgust elicitors, and the Disgust Propensity and Sensitivity Scale (DPSS, Cavanagh & Davey, 2000) that focused on the feeling itself, not on the strength of the reaction to specific disgust elicitors. There are two proposed models of the DPSS, one with two subscales, disgust propensity (DP) and disgust sensitivity (DS), and the other with three subscales where the self-focused/ruminative disgust (SFR) split from DS. This study aimed to validate the Serbian translation of the scale. We used two samples, a student sample (N = 437) and a social network user sample (N = 344). We used confirmatory factor analysis in both samples and the yielded results have shown that the three-factor solution is superior. The internal consistency of the subscales was marginally acceptable, while SFR subscale alpha value lagged in the social network user sample. Significant gender differences in subscale values were detected as expected, adding to the scale validity. Also, DP and DS registered a weak positive correlation with trait Neuroticism, negative affect, stress, depression, and anxiety. These results will further our claims that our translation of the DPSS is valid. In conclusion, we believe that the Serbian translation of the 12 item DPSS scale is viable for use in future research on this subject.

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Instagram use frequency is associated with problematic smartphone use, but not with depression and anxiety symptom severity

Mobile Media & Communication ◽

10.1177/2050157920910190 ◽

2020 ◽

Vol 8 (3) ◽

pp. 400-418 ◽

Cited By ~ 3

Author(s):

Dmitri Rozgonjuk ◽

Patrik Pruunsild ◽

Kadi Jürimäe ◽

Rosiine-Johanna Schwarz ◽

Jaan Aru

Keyword(s):

Indirect Effects ◽

Online Survey ◽

Anxiety Symptom ◽

Demographic Variables ◽

Bivariate Analysis ◽

Depression And Anxiety ◽

Problematic Smartphone Use ◽

Younger Age ◽

Smartphone Use ◽

Objectively Measured

Studies have demonstrated that social media use, as well as problematic smartphone use (PSU), are associated with psychopathology variables, such as depression and anxiety. However, it has not been studied how Instagram use frequency is associated with depression, anxiety, and PSU. The aim of this study was to investigate whether Instagram use frequency is related to these psychopathology variables. Three hundred and five active Instagram users ( Mage = 23.61, SDage = 5.33; 82.2% female) comprised the effective sample in this study. They responded to an online survey that included questionnaires regarding their Instagram and smartphone use, as well as about experiencing depression and anxiety symptoms. We also retrieved objectively measured Instagram use data. The results showed that although Instagram use frequency, depression, and anxiety were associated with PSU in bivariate analysis, Instagram use frequency did not have indirect effects in the relations between psychopathology variables and PSU. Furthermore, while younger age and female sex predicted Instagram use frequency, these socio-demographic variables did not predict PSU. According to our findings Instagram use frequency contributes to PSU, but it is not related to depression and anxiety.

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Unique and Shared Aspects of Affective Symptomatology: The Role of Parental Bonding in Depression and Anxiety Symptom Profiles

Cognitive Therapy and Research ◽

10.1007/s10608-011-9426-3 ◽

2011 ◽

Vol 36 (3) ◽

pp. 173-181 ◽

Cited By ~ 7

Author(s):

Tiffany M. Meites ◽

Rick E. Ingram ◽

Greg J. Siegle

Keyword(s):

Anxiety Symptom ◽

Parental Bonding ◽

Depression And Anxiety ◽

Symptom Profiles

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Suicidal Ideations and Behaviors in victims of cyberbullying

QJM ◽

10.1093/qjmed/hcab102.014 ◽

2021 ◽

Vol 114 (Supplement_1) ◽

Author(s):

A. M Abdelsamea ◽

D. M Elserafy ◽

R Naguib ◽

K. H Omran

Keyword(s):

Analytical Study ◽

Anxiety Symptom ◽

Suicide Ideation ◽

Adult Population ◽

Depression And Anxiety ◽

Cross Sectional ◽

Online Social Media ◽

Suicide Probability Scale ◽

Effects Of Bullying ◽

Young Adult Population

Abstract Background Involvement in bullying as well as cyberbullying has been identified as a risk factor for depression and anxiety symptom as well as suicide ideation/behavior. Results from community samples suggest that youth who are bullied, are at an elevated risk for suicidal thoughts, attempts, and completed suicides. Statistically both victims of cyberbullying as well as offenders proved to be much more likely to have attempted “bullycide,” the act of committing suicide due to the effects of bullying, than youth who had not been affected. The Aim of this study To determine the correlation between being a cyberbullying victim and suicidal ideation and/or behavior in adults and young adult population. Patients and Methods This is a cross-sectional, analytical study that includes 408 subjects of both genders of online social-media above the age of 18. All subjects have been screened using GHQ28 for the exclusion of mental illness at the time of study. Then subjects completed Cyberbullying Self Rated Questionnaire (CBQ) and Suicide Probability Scale (SPS) both in Arabic. Results suicidal probability was found to be increased proportionately in a statistically significant way with the degree of exposure to cyberbullying. Conclusion There is a significant increase in suicidal ideations/behaviors among cyberbullying victims whom have been exposed to higher levels of cyberbullying, even in the absence of major psychiatric disorders.

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The influence of social support, conflict, and stressful life events on PTSD, depression, and anxiety symptom severity in U.S. army female veterans

European Psychiatry ◽

10.1016/s0924-9338(11)73382-x ◽

2011 ◽

Vol 26 (S2) ◽

pp. 1678-1678

Author(s):

A.M. Nayback-Beebe

Keyword(s):

Mental Health ◽

Social Support ◽

Life Events ◽

Symptom Severity ◽

Anxiety Symptom ◽

Stressful Life Events ◽

Stressful Life ◽

Female Veterans ◽

Depression And Anxiety ◽

The Social

IntroductionThere have been prevailing gender differences in negative mental health outcomes for female U.S. veterans returning from combat deployments. Research has validated the importance of post-deployment social support in mitigating the effects of these experiences on mental health; however, the influence of conflict within the social network has not been thoroughly explored.Aims(1)Examine the relationships between social support, conflict, and stressful life events to PTSD, depression, and anxiety symptom severity in female veterans 6–12 months after deployment.(2)Determine whether the absence of social support or the presence of social conflict is more influential in the severity of these symptoms.MethodsDescriptive, correlationalResultsThere were significant positive bivariate correlations (p < .01) between conflict and stressful life events and significant negative bivariate correlations (p < .01) between social support and each of the three outcome variables: PTSD, depression, and anxiety symptoms. Hierarchical linear regression showed that co-morbid depression, greater post-deployment stressful life events, and greater conflict within the social network best explained the presence of greater PTSD symptom severity. Stressful life events did not contribute to greater anxiety symptom severity; however, symptom severity was affected by the absence of social support. In contrast, greater depression symptom severity was best explained by the presence of co-morbid PTSD symptoms and the absence of social support.ConclusionsTreatment programs for PTSD and anxiety in female veterans’ post-deployment must assess and address sources of intrapersonal conflict within their social networks. Family therapy may be integral to treatment success.

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Temporal relationships between happiness and psychiatric disorders and their symptom severity in a large cohort study: the Netherlands Study of Depression and Anxiety (NESDA)

BMC Psychiatry ◽

10.1186/s12888-021-03346-4 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Philip Spinhoven ◽

Bernet M. Elzinga ◽

Brenda W. J. H. Penninx ◽

Erik J. Giltay

Keyword(s):

Anxiety Disorder ◽

Social Anxiety ◽

Psychiatric Disorders ◽

Symptom Severity ◽

Anxiety Symptom ◽

Subjective Happiness ◽

Depression And Anxiety ◽

Depression Severity ◽

Interindividual Differences ◽

Temporal Relationships

Abstract Background Notwithstanding the firmly established cross-sectional association of happiness with psychiatric disorders and their symptom severity, little is known about their temporal relationships. The goal of the present study was to investigate whether happiness is predictive of subsequent psychiatric disorders and symptom severity (and vice versa). Moreover, it was examined whether changes in happiness co-occur with changes in psychiatric disorder status and symptom severity. Methods In the Netherlands Study of Depression and Anxiety (NESDA), happiness (SRH: Self-Rated Happiness scale), depressive and social anxiety disorder (CIDI: Composite Interview Diagnostic Instrument) and depressive and anxiety symptom severity (IDS: Inventory of Depressive Symptomatology; BAI: Beck Anxiety Inventory; and FQ: Fear Questionnaire) were measured in 1816 adults over a three-year period. Moreover, we focused on occurrence and remittance of 6-month recency Major Depressive Disorder (MDD) and Social Anxiety Disorders (SAD) as the two disorders most intertwined with subjective happiness. Results Interindividual differences in happiness were quite stable (ICC of .64). Higher levels of happiness predicted recovery from depression (OR = 1.41; 95% CI = 1.10–1.80), but not social anxiety disorder (OR = 1.31; 95%CI = .94–1.81), as well as non-occurrence of depression (OR = 2.41; 95%CI = 1.98–2.94) and SAD (OR = 2.93; 95%CI = 2.29–3.77) in participants without MDD, respectively SAD at baseline. Higher levels of happiness also predicted a reduction of IDS depression (sr = − 0.08; 95%CI = -0.10 - -0.04), and BAI (sr = − 0.09; 95%CI = -0.12 - -0.05) and FQ (sr = − 0.06; 95%CI = -0.09 - -0.04) anxiety symptom scores. Conversely, presence of affective disorders, as well as higher depression and anxiety symptom severity at baseline predicted a subsequent reduction of self-reported happiness (with marginal to small sr values varying between −.04 (presence of SAD) to −.17 (depression severity on the IDS)). Moreover, changes in happiness were associated with changes in psychiatric disorders and their symptom severity, in particular with depression severity on the IDS (sr = − 0.46; 95%CI = −.50 - -.42). Conclusions Results support the view of rather stable interindividual differences in subjective happiness, although level of happiness is inversely associated with changes in psychiatric disorders and their symptom severity, in particular depressive disorder and depression severity.

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