Self-Reported Inability to Cry as a Symptom of Anhedonic Depression in Outpatients with a Major Depressive Disorder

2011 ◽  
Vol 108 (3) ◽  
pp. 874-882 ◽  
Author(s):  
Roberta Steer
Keyword(s):  
Logistic Regression ◽  
Major Depressive Disorder ◽  
Regression Analysis ◽  
Depressive Disorder ◽  
Multiple Logistic Regression Analysis ◽  
The Other ◽  
Multiple Logistic Regression ◽  
Major Depressive ◽  
Dsm Iv ◽  
Anhedonic Depression

To ascertain whether self-reported inability to cry would be associated with symptoms of anhedonic depression, the 21-item Beck Depression Inventory-II was administered to 1,050 outpatients diagnosed with a DSM-IV-TR major depressive disorder. 219 (21%) patients reported on the BDI-II Crying item that they were unable to cry, and 831 (79%) patients reported they were able to cry. Only BDI-II Loss of Interest was significantly associated with the inability to cry after the other BDI-II symptoms were controlled for using a multiple logistic-regression analysis. The inability to cry was discussed as an indicator of anhedonic depression.

scholarly journals Incidence Trends and Risk Prediction Nomogram for Suicidal Attempts in Patients With Major Depressive Disorder

2021 ◽  
Vol 12 ◽  
Author(s):  
Sixiang Liang ◽  
Jinhe Zhang ◽  
Qian Zhao ◽  
Amanda Wilson ◽  
Juan Huang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Major Depressive Disorder ◽  
Regression Analysis ◽  
Depressive Disorder ◽  
Logistic Regression Analysis ◽  
Clinical Characteristics ◽  
Information Criteria ◽  
Demographic Information ◽  
Major Depressive ◽  
Incidence Trends

Background: Major depressive disorder (MDD) is often associated with suicidal attempt (SA). Therefore, predicting the risk factors of SA would improve clinical interventions, research, and treatment for MDD patients. This study aimed to create a nomogram model which predicted correlates of SA in patients with MDD within the Chinese population.Method: A cross-sectional survey among 474 patients was analyzed. All subjects met the diagnostic criteria of MDD according to the International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10). Multi-factor logistic regression analysis was used to explore demographic information and clinical characteristics associated with SA. A nomogram was further used to predict the risk of SA. Bootstrap re-sampling was used to internally validate the final model. Integrated Discrimination Improvement (IDI) and Akaike Information Criteria (AIC) were used to evaluate the capability of discrimination and calibration, respectively. Decision Curve Analysis (DCA) and the Receiver Operating Characteristic (ROC) curve was also used to evaluate the accuracy of the prediction model.Result: Multivariable logistic regression analysis showed that being married (OR = 0.473, 95% CI: 0.240 and 0.930) and a higher level of education (OR = 0.603, 95% CI: 0.464 and 0.784) decreased the risk of the SA. The higher number of episodes of depression (OR = 1.854, 95% CI: 1.040 and 3.303) increased the risk of SA in the model. The C-index of the nomogram was 0.715, with the internal (bootstrap) validation sets was 0.703. The Hosmer–Lemeshow test yielded a P-value of 0.33, suggesting a good fit of the prediction nomogram in the validation set.Conclusion: Our findings indicate that the demographic information and clinical characteristics of SA can be used in a nomogram to predict the risk of SA in Chinese MDD patients.

scholarly journals Major depression among men and women in the US during the COVID-19 pandemic

2021 ◽  
Author(s):  
Areen Omary
Keyword(s):  
Logistic Regression ◽  
Major Depressive Disorder ◽  
Regression Analysis ◽  
Health Status ◽  
Major Depression ◽  
Depressive Disorder ◽  
Logistic Regression Analysis ◽  
Major Depressive ◽  
Men And Women ◽  
The Us

A multidimensional index that measures the health status of individuals during the COVID-19 pandemic has been developed. The COVID-19 Health Status Scale (CHSS), a combination of previously studied and newly created health status scales, assesses the physical, mental, and social well-being of adults during the COVID-19 pandemic. The current study aimed to examine the differences between men and women in self-reported past major depressive disorder diagnosis during the COVID-19 lockdown in the United States using the CHSS self administered questionnaire. Participants were recruited using convenience sampling performed online through the SurveyMonkey Audience. The self-administered CHSS questionnaire has been pilot tested in an adult population during the COVID-19 pandemic lockdown in the US. The study sample size included 173 participants aged 18 years and older. Results revealed that almost one-third of the study participants (31.2%) reported being diagnosed with past major depressive disorder, whereas 68.8% reported no past major depressive disorder diagnosis. The results of the estimated coefficients of the logistic regression analysis test showed that men were less likely to report major depression during the COVID-19 lockdown (Exp (B) = 0.45 for men; p < 0.05) than women. Although the results showed that almost two thirds of the participants reported no major depression diagnosis during the COVID-19 lockdown, the logistic regression analysis confirmed that the chances of men reporting major depressive disorder diagnosis were lesser than that of women and this difference was statistically significant.

scholarly journals Plasma phospholipid n-3 polyunsaturated fatty acids and major depressive disorder in Japanese elderly: the Japan Public Health Center-based Prospective Study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kei Hamazaki ◽  
Yutaka J. Matsuoka ◽  
Taiki Yamaji ◽  
Norie Sawada ◽  
Masaru Mimura ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Logistic Regression ◽  
Major Depressive Disorder ◽  
Regression Analysis ◽  
Depressive Disorder ◽  
Multivariate Logistic Regression Analysis ◽  
Plasma Phospholipid ◽  
Multivariate Logistic Regression ◽  
Major Depressive ◽  
Cross Sectional

AbstractThe beneficial effects of n-3 polyunsaturated fatty acids (PUFAs) such as eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) on depression are not definitively known. In a previous population-based prospective cohort study, we found a reverse J-shaped association of intake of fish and docosapentaenoic acid (DPA), the intermediate metabolite of EPA and DHA, with major depressive disorder (MDD). To examine the association further in a cross-sectional manner, in the present study we analyzed the level of plasma phospholipid n-3 PUFAs and the risk of MDD in 1,213 participants aged 64–86 years (mean 72.9 years) who completed questionnaires and underwent medical check-ups, a mental health examination, and blood collection. In multivariate logistic regression analysis, odds ratios and 95% confidence intervals were calculated for MDD according to plasma phospholipid n-3 PUFA quartiles. MDD was diagnosed in 103 individuals. There were no significant differences in any n-3 PUFAs (i.e., EPA, DHA, or DPA) between individuals with and without MDD. Multivariate logistic regression analysis showed no significant association between any individual n-3 PUFAs and MDD risk. Overall, based on the results of this cross-sectional study, there appears to be no association of plasma phospholipid n-3 PUFAs with MDD risk in the elderly Japanese population.

Twelve-month prevalence and disability of DSM-IV bipolar disorder in an Australian general population survey

2004 ◽  
Vol 34 (5) ◽  
pp. 777-785 ◽  
Author(s):  
P. B. MITCHELL ◽  
T. SLADE ◽  
G. ANDREWS
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
National Survey ◽  
Large Scale ◽  
Well Being ◽  
Major Depressive ◽  
Co Morbidity ◽  
Dsm Iv ◽  
Days Out Of Role

Background. There have been few large-scale epidemiological studies which have examined the prevalence of bipolar disorder. The authors report 12-month prevalence data for DSM-IV bipolar disorder from the Australian National Survey of Mental Health and Well-Being.Method. The broad methodology of the Australian National Survey has been described previously. Ten thousand, six hundred and forty-one people participated. The 12-month prevalence of euphoric bipolar disorder (I and II) – similar to the euphoric-grandiose syndrome of Kessler and co-workers – was determined. Those so identified were compared with subjects with major depressive disorder and the rest of the sample, on rates of co-morbidity with anxiety and substance use disorders as well as demographic features and measures of disability and service utilization. Polychotomous logistic regression was used to study the relationship between the three samples and these dependent variables.Results. There was a 12-month prevalence of 0·5% for bipolar disorder. Compared with subjects with major depressive disorder, those with bipolar disorder were distinguished by a more equal gender ratio; a greater likelihood of being widowed, separated or divorced; higher rates of drug abuse or dependence; greater disability as measured by days out of role; increased rates of treatment with medicines; and higher lifetime rates of suicide attempts.Conclusions. This large national survey highlights the marked functional impairment caused by bipolar disorder, even when compared with major depressive disorder.

scholarly journals Toward an Adaptation of Interpersonal Psychotherapy for Hispanic Patients With DSM-IV Major Depressive Disorder

2008 ◽  
Vol 70 (2) ◽  
pp. 214-222 ◽  
Author(s):  
John C. Markowitz ◽  
Sapana R. Patel ◽  
Ivan C. Balan ◽  
Michelle A. Bell ◽  
Carlos Blanco ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Interpersonal Psychotherapy ◽  
Major Depressive ◽  
Hispanic Patients ◽  
Dsm Iv

scholarly journals Analysis and Factors Associated with Measles in Larut, Matang and Selama Districts, Perak, Malaysia

2020 ◽  
Vol 27 (5) ◽  
pp. 130-140
Author(s):  
Asraf Ahmad Qamruddin ◽  
Reza Qamruddin ◽  
Ayu Malik
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Incidence Rate ◽  
Logistic Regression Analysis ◽  
Protective Factor ◽  
Multiple Logistic Regression Analysis ◽  
Prior History ◽  
Multiple Logistic Regression ◽  
Case Definitions ◽  
Factors Associated

Objectives: To determine the incidence rate of measles and the factors associated with confirmed measles cases in Larut, Matang and Selama districts. Methods: Cross-sectional analysis was carried out looking at all suspected and laboratoryconfirmed measles cases in Larut, Matang and Selama districts between 2015 and 2019. Multiple logistic regression analysis was used to determine the associated factors for laboratory-confirmed measles cases. Results: The incidence rate for suspected measles showed an increasing trend from 2015–2019. For laboratory-confirmed measles cases, the incidence rate showed more variation with an increase to 36.11 per million population in 2017 from 5.67 per million population in 2015. The incidence rate later decreased to 10.99 per million population in 2018 and increased again to 24.47 per million population in 2019. From multiple logistic regression analysis, cases that fulfilled the case definition of measles were more likely to be laboratory-confirmed measles. On the other hand, a prior history of measles immunisation was a protective factor. Conclusion: Measles incidence is increasing in trend. Any suspected measles cases that fulfilled the clinical case definitions need to be further investigated. Immunisation should be promoted as they are effective in preventing and eliminating measles.

Sign in / Sign up

Export Citation Format

Share Document