Determining Risk for Depression among Older People Residing in Vietnamese Rural Settings

Int J Environ Res Public Health. 2019 Jul 25;16(15):2654. doi: 10.3390/ijerph16152654.

Abstract

(1) Background: Major causes of the burden of disease in older persons include mental disorders and neurological diseases, such as depression. This study aims to explore the prevalence of older people at risk for depression and identify the factors associated with this risk in rural Vietnam. (2) Methods: A cross-sectional study was conducted in Soc Son, Hanoi with 523 community dwelling elders aged 60 and over. Face-to-face interviews were performed to collect data about socioeconomic status, risk for depression, health status, and health utilization. The Geriatric Depression Scale-4 items (GDS-4) was used to assess the risk for depression occurrence. Multivariable logistic regression was employed for determining the factors associated with the risk for depression. (3) Results: Among 523 participants, there were 26.4% of participants at risk for depression. The proportion of females at risk for depression (29.0%) was significantly higher than males (20.4%). Differences were found in economic status (near poor group had higher risk for depression compared to the poor group) (p < 0.01). Older adults living with spouse/partner, living in near-poor household, and suffering pain/discomfort were all more likely to be at risk for depression. (4) Conclusions: Being female, living in a near poor household, being in pain or experiencing discomfort are all factors strongly correlated to high risk for depression. These findings highlight the urgent need for additional research among Vietnamese community-dwelling older people.

Keywords: Vietnam; mental health services; older adults; risk for depression; rural.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Cross-Sectional Studies
  • Depression / epidemiology*
  • Female
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Prevalence
  • Risk Assessment*
  • Risk Factors
  • Rural Population / statistics & numerical data*
  • Socioeconomic Factors
  • Vietnam / epidemiology