Prevalence and Associated Factors of Depression Among Elderly Hypertensive Patients in Vietnam

Tuan Van Nguyen1,2, Tung Son Vu2, Thang Thien Tran3

  • 1National Institute of Mental Health, Bach Mai Hospital, Hanoi 100000, Vietnam.

PubMed

Insights

Depression affects over 30% of elderly hypertensive patients in Vietnam, often linked to poor sleep and loneliness. Early screening and interventions targeting these factors are crucial for this vulnerable population.

Area of Science:

  • Geriatrics
  • Cardiology
  • Psychiatry

Background:

  • Depression exacerbates illness burden and impacts quality of life in hypertensive patients.
  • Elderly individuals with hypertension, particularly in Vietnam, are an under-addressed demographic regarding depression.
  • Cardiovascular diseases and mental health comorbidities require integrated care approaches.

Purpose of the Study:

  • To determine the prevalence and characteristics of depression in elderly hypertensive patients.
  • To identify factors associated with depression in this specific patient group.
  • To inform targeted interventions for mental health support in geriatric hypertension care.

Main Methods:

  • A cross-sectional study was conducted with 414 hypertensive patients aged 60+.
  • Depression was diagnosed using ICD-10 criteria.
  • Sleep quality (PSQI), functional status (KATZ12), and loneliness (UCLA-LS3-J11) were assessed.

Main Results:

  • A high prevalence of depression (31.4%) was observed, with mild, moderate, and severe forms present.
  • Key characteristics included sleep disturbances, low energy, and low mood.
  • Significant associations were found with poor sleep quality, female gender, lower socioeconomic status, higher hypertension grade, and loneliness.

Conclusions:

  • The substantial prevalence of depression necessitates proactive screening and intervention strategies for elderly hypertensive patients.
  • Addressing sleep quality, socioeconomic factors, gender disparities, and social isolation is vital for managing depression in this population.
  • Future research should expand to broader populations and develop predictive models for early detection and improved care.

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