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Updated: Feb 15, 2026

Design and Implementation of an fMRI Study Examining Thought Suppression in Young Women with, and At-risk, for Depression
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Depression And Associated Factors: A Cross-Sectional Study Using Beck Depression Inventory.

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  • 1Rural Health Centre Kahna Nau Lahore, Pakistan.

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|January 14, 2018
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Summary
This summary is machine-generated.

A study in Lahore found that 23% of patients at a rural health facility had depression. Key risk factors included age, income, marital status, education, family structure, hospitalization history, smoking, and co-morbidity.

Keywords:
Beck Depression InventoryDepressionMental healthRural health centre

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Area of Science:

  • Public Health
  • Mental Health Research
  • Epidemiology

Background:

  • Mental health disorders, particularly depression, represent a significant global public health challenge.
  • Depression is a leading cause of disability worldwide, necessitating focused research in diverse settings.
  • Understanding depression prevalence in rural areas is crucial for targeted health interventions.

Purpose of the Study:

  • To determine the frequency of depression among individuals attending a rural health facility in Lahore.
  • To identify sociodemographic and clinical risk factors associated with depression in this population.

Main Methods:

  • A cross-sectional study was conducted at Rural Health Centre Kahna Nau, Lahore.
  • The Beck Depression Inventory (BDI) was used to assess depression levels in 384 participants.
  • Chi-square tests were employed to identify significant associations between depression and various factors (p≤0.05).

Main Results:

  • The study identified a depression prevalence of 23% (84 out of 384 participants).
  • Significant associations were found between depression and age, income, marital status, educational status, family structure, history of hospitalization, smoking status, and co-morbidity.
  • The majority of respondents were male (69.5%) and aged 25-44 years (53%).

Conclusions:

  • A substantial proportion of patients presenting at the rural health facility experienced depression.
  • Several factors including age, income, marital status, education, family structure, co-morbidity, and smoking status are significantly linked to depression.
  • These findings highlight the need for mental health screening and support in rural primary care settings.