To assess the mental health status and identify associated factors among rural adult women in Bangladesh.
Cross-sectional study using face-to-face interviews with a semistructured questionnaire.
Data were collected between January and February 2025 in three rural upazilas (Dhamrai, Nawabganj and Sreepur) using multistage systematic sampling. The semistructured questionnaire included sociodemographic characteristics, household assets and the Depression Anxiety Stress Scale-21 (DASS-21). The wealth index was calculated using principal component analysis. Cases with mild to extreme levels of depression, anxiety and stress were grouped together to indicate the presence of any level of the three mental health problems. Statistical analyses included descriptive statistics, bivariate analyses using ², Fisher’s exact test and Welch two-sample t-test, and multivariable binary logistic regression to identify predictive factors of mental problems. A Venn diagram was generated to display the proportion of patients with anxiety, depression and stress. Data analysis was performed using SPSS (V.26) and R Studio (V.2025.05) with a significance level of p
A total of 1350 women aged 18 years or older who were available at home during the data collection period and gave consent to participate. Women who were unable to participate due to illness were excluded.
Participants had a mean (±SD) age of 36.35 (±12.58) years. The prevalence of depression, anxiety and stress was 47.7%, 60.7% and 23.2%, respectively. Moderate severity was most common among patients with depression (20.34%), anxiety (24.20%) and stress (8.03%). 20% of participants experienced all three conditions simultaneously, with 22% having both depression and anxiety. Multivariable analysis revealed that factors associated with an increased odds of depression, anxiety and stress were chronic diseases (ORs (95% CIs): 2.02 (1.50 to 2.73), 1.44 (1.05 to 1.99) and 1.91 (1.35 to 2.71), respectively) and history of abuse (1.84 (1.28 to 2.66); 3.15 (2.06 to 4.93) and 1.91 (1.28 to 2.83), respectively). Family history of mental illness was associated with an increased odds of anxiety (1.71 (95% CI 1.12 to 2.87)) and stress (1.61 (95% CI 1.01 to 2.52)). So was the presence of a caregiving role (1.68 (95% CI 1.18 to 2.42) and 1.50 (95% CI 1.02 to 2.19) for anxiety and stress, respectively). Having a financial problem was associated with an increased odds of anxiety (1.52 (95% CI 1.16 to 2.00)). A happy family relationship was associated with decreased odds of depression (0.28 (95% CI 0.20 to 0.93)), anxiety (0.22 (95% CI 0.06 to 0.60)) and stress (0.50 (95% CI 0.25 to 1.00)). Conjugal satisfaction was protective against anxiety (0.42 (95% CI 0.18 to 0.80) and stress (0.32 (95% CI 0.17 to 0.59)). Unexpectedly, higher wealth status (being rich) increased depression (1.56 (95% CI 1.04 to 2.34) and anxiety (1.57 (95% CI 1.03 to 2.41) risk.
A major segment of rural adult women of Bangladesh experiences mental health problems. The findings recommend community-based comprehensive mental health screening programmes, interventions and integration of mental healthcare into primary health systems to address this critical public health challenge.
by Nasrin Akter, Farhana Faruque Zerin, Bilkis Banu, Fatema Afrin Kanta, Shahnaz Begam, Sarder Mahmud Hossain
BackgroundTo combat growing prevalence of hypertension in Bangladesh, it is critical to have an in-depth understanding about quality of life (QOL) among people living with hypertension and related factors. In the recent COVID-19 pandemic the QOL of hypertensive people got downsized. This study aimed to measure QOL among hypertensive people in a selected tertiary hospital in Dhaka city, and its association with the basic characteristics of the patients.
MethodsThis study was conducted among randomly selected 300 hypertensive patients from two departments of Square Hospitals Limited, using the patient register record. Data were collected through face-to-face interview methods. The WHOQOL-BREF questionnaire was used to assess the QOL of the subjects. Descriptive statistics were used to examine mean scores of quality of life. Cronbach’s alpha coefficient and Pearson’s correlation coefficient were applied to estimate the internal consistency, and the level of agreement among different domains of WHOQOL-BREF, respectively. Chi-square test followed by binary regression analysis was used to measure the association between QOL domains and independent variables.
ResultsBoth overall WHOQOL-BREF and each domain had a good internal consistency, (r = 0.13–0.77, p Conclusion
The results revealed low QOL in psychological and social domain, including significant factors associated with the poor QOL in all domains. Planning and implementation of effective interventions are needed to improve QOL among hypertensive patients targeted towards aged, diabetic, lower income group who had positive COVID-19 infection and poor lifestyle through health system strengthening.