Objective: No published epidemiologic study has examined premenstrual exacerbation of depressive disorders (PME-DD) in a representative sample. Knowledge gained should indicate the burden of illness, suggest whom to monitor, and facilitate diagnosis. The objectives were to 1) ascertain the prevalence and predictors of PME-DD; and 2) test competing hypotheses that PME-DD is related to a) severity or history of depression, b) menstrual cyclicity in females in general, or c) a methodological artifact.

Methods: Menstruating females (N = 900) from ages 13 to 53 living in urban or rural Illinois completed semi-structured psychiatric diagnostic interviews and rated symptoms of depression daily for two menstrual cycles; 58 had major depressive, dysthymic, or subclinical depressive disorders, and the remaining 842 were the non-depressed portion of the representative sample.

Results: Depressed females had 1.34 (95% confidence interval, 1.02-1.66) symptoms exacerbated premenstrually. The best model for predicting exacerbation contained only age. Older women more often had symptoms worsen. Symptoms during the follicular phase were most severe for clinically depressed, intermediate for subclinically depressed, and least severe for non-depressed participants, ps < 0.001. Consistent with the hypothesis that exacerbation is related to cyclicity in all females, the number of symptoms that became worse did not differ between groups, ps < 0.46. Given no symptoms in one cycle, the odds of having symptoms in the next cycle were 0.91. Only 56% of non-depressed females taking antidepressants were asymptomatic all month long; the remaining 44% still had symptoms premenstrually.

Conclusions: Premenstrual exacerbation of depressive disorders is associated with deteriorated functioning over and above that already experienced by depressed females. Patients may be susceptible regardless of severity of depression, number of episodes, or remission status.

Download full-text PDF

Source
http://dx.doi.org/10.1097/01.psy.0000138131.92408.b9DOI Listing

Publication Analysis

Top Keywords

depressive disorders
16
premenstrual exacerbation
12
exacerbation depressive
12
cyclicity females
8
symptoms
8
depressed females
8
symptoms cycle
8
females
6
depressive
5
disorders
4

Similar Publications

Causal associations between immune cells and psychiatric disorders: a bidirectional mendelian randomization analysis.

Naunyn Schmiedebergs Arch Pharmacol

January 2025

Graduate School of PLA Medical College, Chinese PLA General Hospital and PLA Medical College, 28 Fu Xing Road, Beijing, 100083, China.

Extensive researches illuminate a potential interplay between immune traits and psychiatric disorders. However, whether there is the causal relationship between the two remains an unresolved question. We conducted a two-sample bidirectional mendelian randomization by utilizing summary data of 731 immune cell traits from genome-wide association studies (GCST90001391-GCST90002121)) and 11 psychiatric disorders including attention deficit/hyperactivity disorder (ADHD), anxiety disorder, autism spectrum disorder (ASD), bipolar disorder (BIP), anorexia nervosa (AN), major depressive disorder (MDD), obsessive-compulsive disorder (OCD), Tourette syndrome (TS), post-traumatic stress disorder (PTSD), schizophrenia (SCZ), and substance use disorders (cannabis) (SUD) from the Psychiatric Genomics Consortium (PGC).

View Article and Find Full Text PDF

Background And Objectives: To better understand racial/ethnic disparities in hearing aid use, we examined racial differences in discrepancies between subjective hearing ratings and objective hearing tests as a potential source of this disparity.

Research Design And Methods: A cross-sectional assessment was conducted using the data from the Health and Retirement Study (HRS). Our analytic sample included 2,568 participants aged 50 and older: 1,814 non-Hispanic White Americans and 754 non-Hispanic Black Americans.

View Article and Find Full Text PDF

Major Depressive Disorder (MDD) is a widespread psychiatric condition impacting social and occupational functioning, making it a leading cause of disability. The diagnosis of MDD remains clinical, based on the Diagnostic and Statistical Manual of Mental Disorders (DSM)-5 criteria, as biomarkers have not yet been validated for diagnostic purposes or as predictors of treatment response. Traditional treatment strategies often follow a one-size-fits-all approach obtaining suboptimal outcomes for many patients who fail to experience response or recovery.

View Article and Find Full Text PDF

Background: Previous research has shown that Major Depressive Disorder (MDD) is accompanied by severe impairments in cognitive and autonomic processes, which may linger even when mood symptoms recover. This study aimed to analyse the relationship between depression severity, as measured by the Hamilton Depression Rating Scale (HAM-D), and how it affects heart rate variability (HRV) and cognitive function in patients with Major Depressive Disorder (MDD).

Methodology: The cross-sectional study was conducted at RUHS College of Medical Sciences and Associated Hospitals, Jaipur, from July 2022 to January 2023 on 90 subjects having major depressive disorder (MDD) of either sex in the 20-40 age group using the Hamilton score for depression (HAM D), Heart Rate Variability (HRV) measurements, and a battery of cognitive tests.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!