Mood disorders and prospective suicidality in young adults: a population‐based cohort study

Vieira, Daniel Chaves; Cardoso, Taiane de Azevedo; Mondin, Thaíse Campos; Jansen, Karen; Silva, R. A. da; Souza, Luciano Dias de Mattos; Kapczinski, Flávio; Magalhães, Pedro Vieira da Silva

doi:10.1111/acps.12846

Cited by 15 publications

(8 citation statements)

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“…Overall, we found 7 records reporting on the association between depressive symptoms and risky sexual behavior, [44][45][46][47][48][49][50] 10 for substance use, 45,48,49,[51][52][53][54][55][56][57] 4 for delinquency, [58][59][60][61] 3 for self-harm [62][63][64] and 11 for suicidal behavior (2 of which were included in the systematic review). [65][66][67][68][69][70][71][72][73][74][75] Three studies reported on both risky sexual behavior and substance use, separately. 45,48,49 One study included in the systematic review reported an index of risky behaviors (combining behaviors such as unsafe sexual practices, violent behaviors and rule breaking).…”

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confidence: 99%

“…Three studies did not report poolable data and were thus not included in the meta-analysis. One study reported findings as a regression coefficient, 75 another reported a risk ratio without the absolute numbers, 67 and another study reported an index of risky behaviors. 76 All three studies reported a positive association between depressive symptoms and risky behaviors, reinforcing the results of the meta-analysis.…”

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confidence: 99%

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Systematic Review and Meta-analysis: Depressive Symptoms and Risky Behaviors Among Adolescents in Low- and Middle-Income Countries

Pozuelo

Desborough

Stein

et al. 2022

Journal of the American Academy of Child & Adolescent Psych

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confidence: 99%

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confidence: 99%

Systematic Review and Meta-analysis: Depressive Symptoms and Risky Behaviors Among Adolescents in Low- and Middle-Income Countries

Pozuelo

Desborough

Stein

et al. 2022

Journal of the American Academy of Child & Adolescent Psych

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“…Своевременная диагностика и лечение БР имеют важное значение для замедления развития эпизодов расстройства настроения, что позволит снизить вероятность формирования когнитивных нарушений, ухудшение качества жизни, а также предотвратить преждевременную смертность от самоубийств и сердечно-сосудистых заболеваний [33].…”

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The structure of affective fluctuations in a non-clinical sample

et al. 2021

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Aim. To study the structure of mood fluctuations at the preclinical stage based on the findings of screening methods.Materials and methods. A total of 129 students participated in the study. The average age was 18.95 ± 0.08 years. We used the clinical and psychopathological method, the Mini-International Neuropsychiatric Interview (MINI), and screening methods, such as the diagnostic questionnaire for bipolar disorder (Hypomania Checklist-32 (HCL-32)), and Hamilton Depression Scale (HAMD-17).Results. Upon a clinical and psychopathological examination according to ICD-10 criteria, class V, mental and behavioral disorders (F00-F99), including affective pathology, were not detected. According to the findings of the HCL-32 screening technique, 61.2% (n = 79) of respondents had a cumulative score above the threshold. Analysis of individual items on the HCL-32 scale across the entire sample revealed that the majority of examinees positively assessed the impact of mood elevations on the family sphere (63.57%; n = 82), social activities (68.99%; n = 89), work (75.19%; n = 91), and recreational sphere (82.17%; n = 106). Positive (36.43%; n = 47; 95% confidence interval (CI) 28.13–44.74) and neutral (37.21%; n = 48; 95% CI 33.35–50.37) assessments of mood elevations were also detected by the respondents’ immediate circle, which, in general, significantly complicates recognition of hypomania symptoms and delays seeking specialized care. In the structure of mood elevation episodes irritability (r = –0.684), conflict (r = –0.665), risk-taking behavior (r = –0.550), increased sexual desire (r = 0.527), increased energy and activity (r = 0.431), distractibility (r = –0.467), stimulant use (r = –0.467), and decreased need for sleep (r = 0.408) dominated. These signs are very similar to the clinical manifestations of a hypomanic episode in bipolar II disorder.Signs of mild depression revealed according to the HAMD-17 scale in 34.8% (n = 45) of respondents included sleep disorders (r = 0.693), decreased ability to work (r = 0.520), depressive mood (r = 0.579), hypochondria (r = 0.466), general somatic symptoms (r = –0.508), and gastrointestinal disorders (r = 0.513). These signs did not result in chief complaints and were not the reason for seeking specialized care.Conclusion. In the non-clinical sample, in the structure of mood swings, mood elevations dominated, which were not subjectively identified as illness symptoms and did not appear as complaints in clinical and psychopathological examinations. Low mood was accompanied by general somatic symptoms, which may indicate subsequent formation of comorbid pathology. The identified subsyndromal signs of hypomania and depression in the nonclinical sample in the absence of complaints and psychiatric care-seeking are of clinical significance as predictors of a bipolar affective disorder and require further clinical and dynamic monitoring.

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“…Применение скрининговых методик для ранней диагностики риска ставляется актуальной в свете увеличения удельного веса этой патологии в пубертатном периоде [7,8]. Важным аспектом данной проблемы является трудность диагностики, во многом связанная с атипичностью клинической картины субдепрессивных, депрессивных, гипоманиакальных, маниакальных и смешанных эпизодов, дебютирующих в подростковом возрасте, ее полиморфностью и синдромальной незавершенностью, обусловленной особенностями формирующейся подростковой психики [9].…”

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Application of screening techniques for early diagnostics of bipolar afapplication of screening techniques for early diagnosis of a risk of bipolar disorder in adolescents

et al. 2022

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Aim. To assess the possibility of combined application of screening methods for early detection of risks of bipolar disorder in adolescents.Materials and methods. The study included 139 adolescents aged 13–16 years. A clinical psychopathology assessment as well as screening methods were used. The screening methods included the Bipolar Spectrum Diagnostic Scale ((BSDS), R. Pies, 2005) and the Mood Disorder Questionnaire ((MDQ), R.M. Hirschfeld, 2000).Results. The clinical psychopathology assessment was performed in accordance with criteria of ICD-10, Class V. No mental and behavioral disorders (F00-F99), including affective pathology, were identified. Following the MDQ screening, the risk of bipolar disorder was revealed in 63 individuals (45.3%; 95 % confidence interval (CI): (36.8–53.9). When the BSDS method was used, the risk of bipolar disorder was revealed in 16.2% of cases (CI: (11.9–28.3)). The combined use of the screening scales (MDQ and BSDS) confirmed their consistency in detecting values both not exceeding (48.7% of the cases) and exceeding the threshold rates (17.1% of the cases).Conclusion. Early diagnosis of a risk of bipolar disorder in adolescents, along with a clinical psychopathology assessment, may include application of screening scales. Сombined use of several screening methods is justified by polymorphism of initial hypomanic and depressive states, as well as by difficulties in subjective assessment of symptoms of bipolar disorder in adolescents.

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Mood disorders and prospective suicidality in young adults: a population‐based cohort study

Abstract: Depressive episodes have a strong, independent, and robust association with prospective suicidality. The association between manic episodes and suicidality, on the other hand, was dependent on the analysis and deserves further exploration.

Cited by 15 publications

References 39 publications

Systematic Review and Meta-analysis: Depressive Symptoms and Risky Behaviors Among Adolescents in Low- and Middle-Income Countries

Systematic Review and Meta-analysis: Depressive Symptoms and Risky Behaviors Among Adolescents in Low- and Middle-Income Countries

The structure of affective fluctuations in a non-clinical sample

Application of screening techniques for early diagnostics of bipolar afapplication of screening techniques for early diagnosis of a risk of bipolar disorder in adolescents

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