
@article{ref1,
title="Prevalence and associated factors of the severity of depression, anxiety and stress among low-income community-dwelling adults in Kuala Lumpur, Malaysia",
journal="Community mental health journal",
year="2021",
author="Andoy-Galvan, Jo Ann and Chinna, Karuthan and Nordin, Rusli and Suleiman, Adlina and Baloch, Gul M. and Wong, Yin How and Patil, Sapna S. and Lugova, Halyna",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="Growing prevalence of mental illnesses and the role they play in the global disease burden is an emerging public health issue. The prevalence of depression and anxiety  is on the rise in Malaysia. Low-income urban communities are among the key affected  populations with regards to mental health problems. This cross-sectional study was  aimed to determine the prevalence and severity of depression, anxiety and stress,  and their associated factors among adults in the low-income community of Kuala  Lumpur, Malaysia. A total of 248 participants aged 18-60 years old were recruited. Data were collected via face-to-face interviews using the Depression, Anxiety and  Stress Scale-21 Items (DASS-21). Chi-squared test was used to examine the  association between the variables. Multiple ordinal regression model was introduced  to identify the predictors of depression, anxiety and stress. The proportions of  participants with depression, anxiety and stress were 24.2% (95% CI: 19.6-30.4),  36.3% (95% CI: 29.9-43.0), and 20.6% (95% CI: 15.4-26.5), respectively. There was a  statistically significant association of ethnicity (p = 0.002) and age (p = 0.014)  with the severity of depression, ethnicity (p = 0.001) and age (p = 0.024) with the  severity of anxiety, and ethnicity (p < 0.001) and marital status (p = 0.006) with  the severity of stress. In a multivariable analysis, only non-Malay ethnicity was an  independent predictor of the severity of depression [OR = 2.43, 95% CI (1.25, 4.72),  p = 0.009], anxiety [OR = 2.55, 95% CI (1.41, 4.62), p = 0.002] and stress  [OR = 4.28, 95% CI (2.06, 8.89), p = <0.001]. Mental health interventions should  target low-income communities to address social inequalities of mental health within  economically disadvantaged populations.<p /> <p>Language: en</p>",
language="en",
issn="0010-3853",
doi="10.1007/s10597-020-00765-7",
url="http://dx.doi.org/10.1007/s10597-020-00765-7"
}