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Related Concept Videos

Depressive Disorders: Etiology01:27

Depressive Disorders: Etiology

Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
Depression: Overview01:18

Depression: Overview

Depression is a prevalent mental illness marked by persistent sadness and lack of interest in previously enjoyable activities. It can take several forms, including major depression, persistent depressive disorder, and bipolar I and II disorders. Symptoms range from emotional changes like chronic worry to physical changes like sleep disturbances and suicidal thoughts. From a neurobiological perspective, depression is believed to be triggered by abnormalities in the brain's prefrontal cortex,...
Depressive Disorders: MDD and Dysthymia01:27

Depressive Disorders: MDD and Dysthymia

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Close Relationships and Culture01:29

Close Relationships and Culture

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Social Relationships and Well-Being01:30

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The significance of social relationships in psychological well-being is a well-established area of inquiry within social psychology. Research consistently demonstrates that the presence of meaningful, supportive relationships enhances emotional health, while the absence or deterioration of such connections can contribute to psychological distress. Relationships serve as a foundation for emotional support, identity, and social belonging, all of which are critical to an individual’s overall...
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Psychological and Sociocultural Causes of Schizophrenia

Schizophrenia, a complex psychiatric disorder, has been historically misunderstood. Early psychological theories attributed its origins to childhood trauma and unresponsive parenting. However, contemporary research largely rejects these notions, favoring the vulnerability-stress hypothesis. This model proposes that individuals with a genetic predisposition to schizophrenia may develop the disorder following exposure to significant environmental stressors. Notably, studies on high-risk...

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Related Experiment Video

Updated: Jul 7, 2026

A New Method for Inducing a Depression-Like Behavior in Rats
07:57

A New Method for Inducing a Depression-Like Behavior in Rats

Published on: February 22, 2018

Relation between depression and sociodemographic factors.

Noori Akhtar-Danesh1, Janet Landeen

  • 1Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Canada. daneshn@mcmaster.ca

International Journal of Mental Health Systems
|February 15, 2008
PubMed
Summary

Sociodemographic factors like gender, marital status, education, immigrant status, and income influence depression rates in Ontario. Lower income and being divorced or separated are linked to higher depression prevalence.

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Last Updated: Jul 7, 2026

A New Method for Inducing a Depression-Like Behavior in Rats
07:57

A New Method for Inducing a Depression-Like Behavior in Rats

Published on: February 22, 2018

Area of Science:

  • Public Health
  • Epidemiology
  • Mental Health Research

Background:

  • Depression is a prevalent mental health disorder in Western countries, impacting morbidity, mortality, and quality of life.
  • Sociodemographic factors such as age, gender, marital status, education, immigrant status, and income are key determinants of depression prevalence.
  • Understanding these factors is crucial for targeted public health interventions and mental health support.

Purpose of the Study:

  • To evaluate the relationship between depression and key sociodemographic factors in Ontario, Canada.
  • To analyze prevalence rates of lifetime and 12-month depression across different demographic groups.
  • To identify specific sociodemographic variables associated with increased risk of depression.

Main Methods:

  • Utilized data from the Canadian Community Health Survey, Cycle 1.2 (CCHS-1.2).
  • Employed multiple logistic regression to calculate odds ratios for depression associated with sociodemographic factors.
  • Accounted for unequal sampling probabilities and used sampling weights for accurate prevalence estimation.

Main Results:

  • Men exhibited lower odds of depression compared to women (OR ≈ 0.60).
  • Divorced and separated individuals, including those in common-law relationships, showed higher depression rates than married individuals.
  • Higher education levels and Canadian-born status were associated with increased depression prevalence, while higher income showed an inverse relationship (p < 0.0001).

Conclusions:

  • Findings align with previous Canadian and Western country depression prevalence patterns.
  • The inverse relationship between age and depression contrasts with some older U-shaped findings.
  • Common-law relationships were statistically similar to separated/divorced statuses regarding depression rates, differing from traditional groupings.