Use of social media and online dating among individuals with a history of affective disorder

Background: Studies on how individuals with affective disorders use and perceive their use of social media are lacking from the literature. Methods: A questionnaire focusing on affective disorders and the use of social media and online dating was handed out to outpatients with unipolar depression or bipolar disorder and general practice patients with or without affective disorders (latter as controls). The association between affective disorders and the use of social media and online dating was visualized using network graphs and analyzed using linear/logistic regression. Results: A total of 194 individuals with unipolar depression, 124 individuals with bipolar disorder and 196 controls were included in the analysis. Having unipolar depression or bipolar disorder was not associated with the time spent on social media compared with controls. Using the controls as reference, having bipolar disorder was associated with use of online dating (adjusted odds ratio: 2.2 (95% CI: 1.3; 3.7)). The use of social media and online dating had a mood-congruent pattern with decreased and more passive use during depressive episodes, and increased and more active use during hypomanic/manic episodes. Among the respondents with affective disorder, 51% reported that social media use had an aggravating effect on symptoms during mood episodes, while 10% reported a beneficial effect. For online dating, the equivalent proportions were 49% (aggravation) and 20% (benefit), respectively. Limitations: Selection and report biases may have affected the results of the survey. Conclusions: The use of social media and online dating seems related to symptom deterioration among individuals with affective disorders.

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Mood Disorders

10.2310/fm.1021 ◽

2017 ◽

Author(s):

Hasan A Baloch ◽

Jair C. Soares

Keyword(s):

Bipolar Disorder ◽

Mood Disorders ◽

Gray Matter ◽

Affective Disorders ◽

Unipolar Depression ◽

Diagnosis And Treatment ◽

Bipolar Spectrum ◽

Manic Symptoms ◽

Lifetime History ◽

History Of

Affective disorders are among the most common disorders in psychiatry. They are generally classified according to the persistence and extent of symptoms and by the polarity of these symptoms. The two poles of the affective spectrum are mania and depression. Bipolar disorder is characterized by the presence of the mania or hypomania and often depression. Unipolar depression is defined by depression in the absence of a lifetime history of mania or hypomania. These differences are not merely categorical but have important implications for the prognosis and treatment of these conditions. Bipolar disorder, for example, is better treated using mood-stabilizing medication, whereas unipolar depression responds optimally to antidepressant medications. In addition, prognostically, unipolar depression may sometimes be limited to one episode in a lifetime, whereas bipolar disorder is typically a lifelong condition. The course of both conditions, however, is often chronic, and frequently patients can present with unipolar depression only to later develop manic symptoms. A thorough understanding of both conditions is therefore required to treat patients presenting with affective symptomatology. This chapter discusses the epidemiology, etiology and genetics, pathogenesis, diagnosis, and treatment of unipolar depression and bipolar disorder. Figures illustrate gray matter differences with lithium use and the bipolar spectrum. Tables list the pharmacokinetics of commonly used antidepressants and medications commonly used in the treatment of bipolar disorder. This review contains 2 figures, 2 tables, and 136 references.

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Everyday creativity and bipolar and unipolar affective disorder: preliminary study of personal and family history

European Psychiatry ◽

10.1017/s092493380000328x ◽

1992 ◽

Vol 7 (2) ◽

pp. 49-52 ◽

Cited By ~ 5

Author(s):

R Richards ◽

DK Kinney ◽

H Daniels ◽

K Linkins

Keyword(s):

Bipolar Disorder ◽

Family History ◽

Affective Disorder ◽

Affective Disorders ◽

Bipolar Disorders ◽

Data Support ◽

History Of ◽

Preliminary Study ◽

Everyday Creativity ◽

Underlying Mechanisms

SummaryPreliminary new data support the enhancement of ‘everyday’ creativity among those persons with bipolar disorders who manifest milder rather than more severe mood elevations, and among certain individuals who are likely to carry bipolar liability but themselves show no clinical mood elevations – in this case, unipolar depressives with a family history of bipolar disorder, when compared with depressives lacking this history. Creativity was assessed using the lifetime creativity scales (Richards el al, 1988). Underlying mechanisms may be multifactorial and complex. Results suggest that both personal and family history should be considered when making predictions concerning creativity and affective disorders.

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Mood Disorders

10.2310/neuro.1021 ◽

2010 ◽

Author(s):

Hasan A Baloch ◽

Jair C. Soares

Keyword(s):

Bipolar Disorder ◽

Mood Disorders ◽

Gray Matter ◽

Affective Disorders ◽

Unipolar Depression ◽

Diagnosis And Treatment ◽

Bipolar Spectrum ◽

Manic Symptoms ◽

Lifetime History ◽

History Of

Affective disorders are among the most common disorders in psychiatry. They are generally classified according to the persistence and extent of symptoms and by the polarity of these symptoms. The two poles of the affective spectrum are mania and depression. Bipolar disorder is characterized by the presence of the mania or hypomania and often depression. Unipolar depression is defined by depression in the absence of a lifetime history of mania or hypomania. These differences are not merely categorical but have important implications for the prognosis and treatment of these conditions. Bipolar disorder, for example, is better treated using mood-stabilizing medication, whereas unipolar depression responds optimally to antidepressant medications. In addition, prognostically, unipolar depression may sometimes be limited to one episode in a lifetime, whereas bipolar disorder is typically a lifelong condition. The course of both conditions, however, is often chronic, and frequently patients can present with unipolar depression only to later develop manic symptoms. A thorough understanding of both conditions is therefore required to treat patients presenting with affective symptomatology. This chapter discusses the epidemiology, etiology and genetics, pathogenesis, diagnosis, and treatment of unipolar depression and bipolar disorder. Figures illustrate gray matter differences with lithium use and the bipolar spectrum. Tables list the pharmacokinetics of commonly used antidepressants and medications commonly used in the treatment of bipolar disorder. This review contains 2 figures, 2 tables, and 135 references.

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Mood Disorders

10.2310/psych.1021 ◽

2017 ◽

Author(s):

Hasan A Baloch ◽

Jair C. Soares

Keyword(s):

Bipolar Disorder ◽

Mood Disorders ◽

Gray Matter ◽

Affective Disorders ◽

Unipolar Depression ◽

Diagnosis And Treatment ◽

Bipolar Spectrum ◽

Manic Symptoms ◽

Lifetime History ◽

History Of

Affective disorders are among the most common disorders in psychiatry. They are generally classified according to the persistence and extent of symptoms and by the polarity of these symptoms. The two poles of the affective spectrum are mania and depression. Bipolar disorder is characterized by the presence of the mania or hypomania and often depression. Unipolar depression is defined by depression in the absence of a lifetime history of mania or hypomania. These differences are not merely categorical but have important implications for the prognosis and treatment of these conditions. Bipolar disorder, for example, is better treated using mood-stabilizing medication, whereas unipolar depression responds optimally to antidepressant medications. In addition, prognostically, unipolar depression may sometimes be limited to one episode in a lifetime, whereas bipolar disorder is typically a lifelong condition. The course of both conditions, however, is often chronic, and frequently patients can present with unipolar depression only to later develop manic symptoms. A thorough understanding of both conditions is therefore required to treat patients presenting with affective symptomatology. This chapter discusses the epidemiology, etiology and genetics, pathogenesis, diagnosis, and treatment of unipolar depression and bipolar disorder. Figures illustrate gray matter differences with lithium use and the bipolar spectrum. Tables list the pharmacokinetics of commonly used antidepressants and medications commonly used in the treatment of bipolar disorder. This review contains 2 figures, 2 tables, and 136 references.

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Mood Disorders

10.2310/im.1021 ◽

2017 ◽

Author(s):

Hasan A Baloch ◽

Jair C. Soares

Keyword(s):

Bipolar Disorder ◽

Mood Disorders ◽

Gray Matter ◽

Affective Disorders ◽

Unipolar Depression ◽

Diagnosis And Treatment ◽

Bipolar Spectrum ◽

Manic Symptoms ◽

Lifetime History ◽

History Of

Affective disorders are among the most common disorders in psychiatry. They are generally classified according to the persistence and extent of symptoms and by the polarity of these symptoms. The two poles of the affective spectrum are mania and depression. Bipolar disorder is characterized by the presence of the mania or hypomania and often depression. Unipolar depression is defined by depression in the absence of a lifetime history of mania or hypomania. These differences are not merely categorical but have important implications for the prognosis and treatment of these conditions. Bipolar disorder, for example, is better treated using mood-stabilizing medication, whereas unipolar depression responds optimally to antidepressant medications. In addition, prognostically, unipolar depression may sometimes be limited to one episode in a lifetime, whereas bipolar disorder is typically a lifelong condition. The course of both conditions, however, is often chronic, and frequently patients can present with unipolar depression only to later develop manic symptoms. A thorough understanding of both conditions is therefore required to treat patients presenting with affective symptomatology. This chapter discusses the epidemiology, etiology and genetics, pathogenesis, diagnosis, and treatment of unipolar depression and bipolar disorder. Figures illustrate gray matter differences with lithium use and the bipolar spectrum. Tables list the pharmacokinetics of commonly used antidepressants and medications commonly used in the treatment of bipolar disorder. This review contains 2 figures, 2 tables, and 136 references.

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Affective disorders and risk of developing dementia: systematic review

The British Journal of Psychiatry ◽

10.1192/bjp.bp.111.101931 ◽

2013 ◽

Vol 202 (3) ◽

pp. 177-186 ◽

Cited By ~ 168

Author(s):

Joaquim da Silva ◽

Manuel Gonçalves-Pereira ◽

Miguel Xavier ◽

Elizabeta B. Mukaetova-Ladinska

Keyword(s):

Systematic Review ◽

Bipolar Disorder ◽

Affective Disorders ◽

Late Onset ◽

Demographic Variables ◽

Future Research ◽

Increased Risk ◽

Cognitive Disturbances ◽

History Of ◽

Depressive Episodes

BackgroundAffective disorders are associated with cognitive disturbances but their role as risk factors for dementia is still not fully investigated.AimsTo evaluate the risk of developing dementia in individuals with a history of affective disorder.MethodWe conducted a systematic review of case-control and cohort studies addressing the risk of developing dementia in people with affective disorders. To the best of our knowledge, this is the first systematic review that has included studies evaluating this risk specifically in people with bipolar disorder.ResultsFifty-one studies were included. Most of the studies found an increased risk for developing dementia in individuals with depression. Greater frequency and severity of depressive episodes seem to increase this risk. The evidence is contradictory regarding whether there is a difference in risk in people with early- or late-onset depression. The few available risk estimates for dementia in people with bipolar disorder suggest an even higher risk than for those with depression.ConclusionsAffective disorders appear to be associated with an increased risk of developing dementia, and one that is dependent on clinical and demographic variables. Depression may be both a prodrome and a risk factor for dementia. Future research should aim to elucidate the mechanisms that mediate these links.

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Cognitive style in bipolar disorder

The British Journal of Psychiatry ◽

10.1192/bjp.187.5.431 ◽

2005 ◽

Vol 187 (5) ◽

pp. 431-437 ◽

Cited By ~ 57

Author(s):

Lisa Jones ◽

Jan Scott ◽

Sayeed Haque ◽

Katherine Gordon-Smith ◽

Jessica Heron ◽

...

Keyword(s):

Bipolar Disorder ◽

Cognitive Style ◽

Affective Disorder ◽

Mental State ◽

Affective Disorders ◽

Depressive Symptomatology ◽

Bipolar Disorders ◽

Unipolar Depression ◽

Healthy Controls ◽

Recurrent Depression

BackgroundAbnormalities of cognitive style in bipolar disorder are of both clinical and theoretical importance.AimsTo compare cognitive style in people with affective disorders and in healthy controls.MethodSelf-rated questionnaires were administered to 118 individuals with bipolar I disorder, 265 with unipolar major recurrent depression and 268 healthy controls. Those with affective disorder were also interviewed using the Schedules for Clinical Assessment in Neuropsychiatry and case notes were reviewed.ResultsThose with bipolar disorder and those with unipolar depression demonstrated different patterns of cognitive style from controls; negative self-esteem best discriminated between those with affective disorders and controls; measures of cognitive style were substantially affected by current levels of depressive symptomatology; patterns of cognitive style were similar in bipolar and unipolar disorder when current mental state was taken into account.ConclusionsThose with affective disorder significantly differed from controls on measures of cognitive style but there were no differences between unipolar and bipolar disorders when current mental state was taken into account.

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Bipolar disorder and regretted behavior in relation to use of social media and online dating

Bipolar Disorders ◽

10.1111/bdi.13169 ◽

2021 ◽

Author(s):

Klara F. K. Rydahl ◽

René B. K. Brund ◽

Clara R. Medici ◽

Krista M. N. Straarup ◽

Sune P. V. Straszek ◽

...

Keyword(s):

Bipolar Disorder ◽

Social Media ◽

Online Dating ◽

Use Of Social Media

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Investigating the Dynamics of Suicidal Ideation

Crisis ◽

10.1027/0227-5910/a000464 ◽

2018 ◽

Vol 39 (1) ◽

pp. 65-69 ◽

Cited By ~ 22

Author(s):

Nina Hallensleben ◽

Lena Spangenberg ◽

Thomas Forkmann ◽

Dajana Rath ◽

Ulrich Hegerl ◽

...

Keyword(s):

Suicidal Ideation ◽

Small Sample Size ◽

Unipolar Depression ◽

Small Sample ◽

History Of ◽

Severity Of Depression ◽

Ecological Momentary ◽

Depressive Episodes ◽

Ema Method ◽

Shed Light

Abstract. Background: Although the fluctuating nature of suicidal ideation (SI) has been described previously, longitudinal studies investigating the dynamics of SI are scarce. Aim: To demonstrate the fluctuation of SI across 6 days and up to 60 measurement points using smartphone-based ecological momentary assessments (EMA). Method: Twenty inpatients with unipolar depression and current and/or lifetime suicidal ideation rated their momentary SI 10 times per day over a 6-day period. Mean squared successive difference (MSSD) was calculated as a measure of variability. Correlations of MSSD with severity of depression, number of previous depressive episodes, and history of suicidal behavior were examined. Results: Individual trajectories of SI are shown to illustrate fluctuation. MSSD values ranged from 0.2 to 21.7. No significant correlations of MSSD with several clinical parameters were found, but there are hints of associations between fluctuation of SI and severity of depression and suicidality. Limitations: Main limitation of this study is the small sample size leading to low power and probably missing potential effects. Further research with larger samples is necessary to shed light on the dynamics of SI. Conclusion: The results illustrate the dynamic nature and the diversity of trajectories of SI across 6 days in psychiatric inpatients with unipolar depression. Prediction of the fluctuation of SI might be of high clinical relevance. Further research using EMA and sophisticated analyses with larger samples is necessary to shed light on the dynamics of SI.

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