Validity of the Center for Epidemiologic Studies Depression Scale as a screening instrument of major depressive disorder among Japanese workers

AbstractObjectiveDepression in palliative advanced cancer patients is common, but often goes unrecognized. One of the first steps toward improving detection is the development of tools that are valid in the specific language and setting in which they are to be used. The Brief Edinburgh Depression Scale (BEDS) is a sensitive case-finding tool for depression in advanced cancer patients that was developed in the United Kingdom. There are no validated instruments to identify depression in Mexican palliative patients. Our aim was to validate the Spanish-language version of the BEDS in Mexican population with advanced cancer.MethodWe conducted a cross-sectional study with outpatients from the palliative care unit at the Instituto Nacional de Cancerología in Mexico City. The Mexican BEDS was validated against a semistructured psychiatric clinical interview according to the Diagnostic and Statistical Manual of Mental Disorders, 5th edition, classification criteria for major depressive disorder. The interviewer was blind to the BEDS score at the time of the assessment.ResultSeventy subjects completed the scale and interview. Women represented 71.4% of the sample and median age of subjects was 56.5 years (range, 20–85 years). The prevalence of major depressive disorder according to the psychiatric interview was 20%. The most valid cutoff for defining a case of depression was a score ≥5 of 18 on the Mexican BEDS, which gave a sensitivity of 85.7% and specificity of 62.5%. The scale's Cronbach's alpha was 0.71.Significance of resultsMajor depressive disorder is frequent in Mexican palliative patients. The Spanish-language Mexican version of the BEDS is the first valid case-finding tool in advanced cancer patients in this setting.

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Risk factors for further sick leave among Japanese workers returning to work after an episode of major depressive disorder: a prospective follow-up study over 1 year

BMJ Open ◽

10.1136/bmjopen-2019-029705 ◽

2019 ◽

Vol 9 (9) ◽

pp. e029705 ◽

Cited By ~ 1

Author(s):

Hikaru Hori ◽

Asuka Katsuki ◽

Kiyokazu Atake ◽

Reiji Yoshimura ◽

Jun Nakamura ◽

...

Keyword(s):

Risk Factors ◽

Major Depressive Disorder ◽

Depressive Disorder ◽

Sick Leave ◽

Social Adaptation ◽

Major Depressive ◽

Japanese Workers ◽

Scale Scores ◽

Returning To Work

ObjectivesWe aimed to investigate the risk factors for further sick leave episodes among Japanese workers returning to work after time off with a major depressive disorder.DesignA prospective study with 1 year of follow-up.ParticipantsWe recruited 103 workers who had returned to work after taking sick leave with a major depressive disorder. Adjusted HRs with 95% CIs were calculated using Cox proportional hazard models to examine the risk of further sick leave.ResultsIn the adjusted analysis, we show that Social Adaptation Self-evaluation Scale scores (HR 0.95; p=0.019), 3-back correct response rate (N-back test) (HR 0.97; p<0.001) and benzodiazepine dosage (diazepam equivalent) (HR1.07; p=0.014) were associated with further episodes of sick leave.ConclusionsPoorer social and cognitive functioning, together with higher diazepam dosages, were associated with an increased likelihood of additional sick leave.

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Inpatients with major depressive disorder: Psychometric properties of the new Multidimensional Depression Scale

Asian Journal of Psychiatry ◽

10.1016/j.ajp.2016.08.018 ◽

2016 ◽

Vol 24 ◽

pp. 103-109 ◽

Cited By ~ 1

Author(s):

Mohammad Darharaj ◽

Mojtaba Habibi ◽

Michael J. Power ◽

Farzaneh Farzadian ◽

Maesoumeh Rahimi ◽

...

Keyword(s):

Major Depressive Disorder ◽

Depressive Disorder ◽

Psychometric Properties ◽

Depression Scale ◽

Major Depressive

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Major Depressive Disorder: Epidemiology, Course of Illness, and Treatment

CNS Spectrums ◽

10.1017/s1092852900002947 ◽

2008 ◽

Vol 13 (S8) ◽

pp. 4-7 ◽

Cited By ~ 2

Author(s):

Andrew A. Nierenberg

Keyword(s):

Major Depressive Disorder ◽

Depressive Disorder ◽

Antidepressant Treatment ◽

The United States ◽

Epidemiologic Studies ◽

Major Depressive ◽

Course Of Illness ◽

National Comorbidity Survey Replication ◽

United States Population ◽

Period 2

Understanding the epidemiology of major depressive disorder (MDD) and the neurobiologic theories behind depression and antidepressant treatment is vital for physicians who must identify and treat patients with this disorder. The epidemiology of MDD reveals that this disorder is widespread: the lifetime prevalence of MDD is estimated to be ∼17% and the 12-month prevalence is ≥7%, according to the National Comorbidity Survey Replication. Epidemiologic studies suggest that in any 30-day period, 2% to 5% of the United States population meet criteria for MDD. In addition, nearly twice as many women as men (21% versus 13%, respectively) are affected by a depressive disorder during their lifetimes. These numbers reveal a vast population of people affected by MDD, making depression a tremendous social and medical concern.

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Abnormalities in Electroencephalographic Microstates Among Adolescents With First Episode Major Depressive Disorder

Frontiers in Psychiatry ◽

10.3389/fpsyt.2021.775156 ◽

2021 ◽

Vol 12 ◽

Author(s):

Yuqiong He ◽

Qianting Yu ◽

Tingyu Yang ◽

Yaru Zhang ◽

Kun Zhang ◽

...

Keyword(s):

Major Depressive Disorder ◽

Depressive Disorder ◽

Depression Scale ◽

First Episode ◽

Hamilton Depression Scale ◽

Healthy Controls ◽

Major Depressive ◽

Hamd Score ◽

Eeg Changes ◽

Microstate Analysis

Background: Recent studies have reported changes in the electroencephalograms (EEG) of patients with major depressive disorder (MDD). However, little research has explored EEG differences between adolescents with MDD and healthy controls, particularly EEG microstates differences. The aim of the current study was to characterize EEG microstate activity in adolescents with MDD and healthy controls (HCs).Methods: A total of 35 adolescents with MDD and 35 HCs were recruited in this study. The depressive symptoms were assessed by Hamilton Depression Scale (HAMD) and Children's Depression Inventory (CDI), and the anxiety symptoms were assessed by Chinese version of DSM-5 Level 2-Anxiety-Child scale. A 64-channel EEG was recorded for 5 min (eye closed, resting-state) and analyzed using microstate analysis. Microstate properties were compared between groups and correlated with patients' depression scores.Results: We found increased occurrence and contribution of microstate B in MDD patients compared to HCs, and decreased occurrence and contribution of microstate D in MDD patients compared to HCs. While no significant correlation between depression severity (HAMD score) and the microstate metrics (occurrence and contribution of microstate B and D) differing between MDD adolescents and HCs was found.Conclusions: Adolescents with MDD showed microstate B and microstate D changes. The obtained results may deepen our understanding of dynamic EEG changes among adolescents with MDD and provide some evidence of changes in brain development in adolescents with MDD.

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Validation of the Major Depressive Disorder Subscale (MDDS) of the Revised Child Anxiety & Depression Scale (RCADS) in a Sample of Jamaican and Barbadian Elementary School Children Validation of the Major Depressive Disorder Subscale (MDDS) of the Revised Child Anxiety & Depression Scale (RCADS) in a Sample of Jamaican and Barbadian Elementary School Children

Caribbean Medical Journal ◽

10.48107/cmj2021.04.007 ◽

2021 ◽

Author(s):

Gillian A. Lowe

Keyword(s):

Elementary School ◽

Major Depressive Disorder ◽

Depressive Disorder ◽

School Children ◽

Elementary School Children ◽

Adolescent Depression ◽

Child Anxiety ◽

Depression Scale ◽

School Students ◽

Major Depressive

Background: Research on depression among Caribbean children has been limited by the lack of valid and reliable screening measures of depression. Aims: This project explores the reliability and the validity of the Major Depressive Disorder sub-scale (MDDS) of the Revised Child Anxiety & Depression Scale (RCADS), in a group of students attending elementary schools in Jamaica and Barbados. Method: Students enrolled in grade six (n = 759; 50.9% females, 49.1% males; mean age = 10.7 years + 0.66) were administered the Revised Child Anxiety & Depression Scale -Major Depressive Disorder sub-scale (RCADS-MDDS) along with the Kutcher Adolescent Depression Scale- 11 (KADS-11), the Adolescent Depression Rating Scale (ADRS) the Visual Analogue Scale – State Anxiety (VAS-SA) and the Visual Analogue Scale – Trait Anxiety (VAS-TA). The study cohort was divided into private and public elementary school students prior to analyses. A cross validation method was utilised to explore the psychometric properties of the scales by first, conducting analyses using the public school students’ responses and then replicated using those of their private school peers. Results: Overall, the RCADS-MDDS was found to have an acceptable level of internal consistency reliability (α = 0.70, public: α = 0.76, private). The scale also had good concurrent validity as evidenced by strong correlations with scores on the KADS-11 and the ADRS and acceptable discriminant validity as demonstrated by weak correlations with the VAS-SA and the VAS-TA scores. Conclusion: The RCADS-MDDS is a valid screening measure for depression among elementary school children in Jamaica and Barbados.

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Diagnostic evaluation of the hospital depression scale (HADS) and the Beck depression inventory II (BDI-II) in adults with congenital heart disease using a structured clinical interview: Impact of depression severity

European Journal of Preventive Cardiology ◽

10.1177/2047487319865055 ◽

2019 ◽

Vol 27 (4) ◽

pp. 381-390 ◽

Cited By ~ 3

Author(s):

Mechthild Westhoff-Bleck ◽

Lotta Winter ◽

Lukas Aguirre Davila ◽

Christoph Herrmann-Lingen ◽

Jens Treptau ◽

...

Keyword(s):

Major Depressive Disorder ◽

Depressive Disorder ◽

Beck Depression Inventory ◽

Congenital Heart ◽

Depression Scale ◽

Area Under The Curve ◽

Anxiety And Depression ◽

Hospital Anxiety ◽

Major Depressive ◽

Depression Subscale

Objective The purpose of this study was the diagnostic evaluation of the hospital anxiety and depression scale total score, its depression subscale and the Beck depression inventory II in adults with congenital heart disease. Methods This cross-sectional study evaluated 206 patients with congenital heart disease (mean age 35.3 ± 11.7 years; 58.3% men). Major depressive disorder was diagnosed by a structured clinical interview for the Diagnostic and Statistical Manual of Mental Disorders IV and disease severity with the Montgomery–Åsberg depression rating scale. Receiver operating characteristics provided assessment of diagnostic accuracy. Youden’s J statistic identified optimal cut-off points. Results Fifty-three participants (25.7%) presented with major depressive disorder. Of these, 28 (52.8%) had mild and 25 (47.2%) had moderate to severe symptoms. In the total cohort, the optimal cut-off of values was >11 in the Beck depression inventory II, >11 in the hospital anxiety and depression scale and >5 in the depression subscale. Optimal cut-off points for moderate to severe major depressive disorder were similar. The cut-offs for mild major depressive disorder were lower (Beck depression inventory II >4; hospital anxiety and depression scale >8; >2 in its depression subscale). In the total cohort the calculated area under the curve varied between 0.906 (hospital anxiety and depression scale) and 0.93 (Beck depression inventory II). Detection of moderate to severe major depressive disorder (area under the curve 0.965–0.98) was excellent; detection of mild major depressive disorder (area under the curve 0.851–0.885) was limited. Patients with major depressive disorder had a significantly lower quality of life, even when they had mild symptoms. Conclusion All scales were excellent for detecting moderate to severe major depressive disorder. Classification of mild major depressive disorder, representing 50% of cases, was limited. Therapy necessitating loss of quality of life is already present in major depressive disorder with mild symptoms. Established cut-off points may still be too high to identify patients with major depressive disorder requiring therapy. External validation is needed to confirm our data.

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