This study investigated the association between well-being (based on WHO 5-item Well-Being Index, a brief screening instrument for the detection of depression in the general population with high validity and reliability) and self-reported satisfaction related to 30 neighbourhood conditions (e.g. satisfaction about area of house, population density, electricity supply, toilet, garbage, educational, recreational and health facilities, community support, profession and income). We used a cross-sectional data of 1,870 married adults (response rate >90%) living in
Multiple logistic regression model which included age, sex, education, tobacco consumption, area of living, experience of any disease during the last 3 months, and self-perceived health indicated that odds ratio of poor well-being (cut-off point <13) was significantly higher among those subjects lived in rural areas, had lower education and reported poor self-perceived health. Further models adjusted for above-mentioned factors revealed consistently higher odds ratio of poor well-being among those reported highly unsatisfied/unsatisfied (for 29 conditions) and so-so (for 22 conditions) than those reported satisfied/highly satisfied.
Our findings underscored the necessity of considering the satisfaction of neighbourhood conditions while studying the well-being of individuals in a developing country like
Learning Objectives: 1. Identify "satisfaction about neighborhood conditions" as an independent factor that can be linked to mental health of the general population. 2. Develop suitable intervention strategies for the improvement of well being among the general populations in developing country like Bangladesh.
Sub-Theme: Community mental health