Population profile and residential environment of an urban poor community in Dhaka, Bangladesh

Environ Health Prev Med. 2017 Mar 14;22(1):1. doi: 10.1186/s12199-017-0610-2.

Abstract

Objectives: A population survey was conducted in an urban shantytown in Bangladesh, as a baseline study of future epidemiological studies. This paper aims to describe the findings of the study, including the population profile and residential environment of the urban poor.

Methods: We conducted a complete count household survey in an urban poor community in Dhaka. Using a brief structured questionnaire in Bengali language, trained interviewers visited each household and asked questions such as: duration of residence; ownership of house, toilet and kitchen; water supply; number of family members; age, sex, education, occupation, tobacco use, and history of diseases of each family member.

Results: We found that there were 8604 households and 34,170 people in the community. Average number of household members was 4.0. Most people had access to safe water, but only 16% lived in the house with a toilet. Based on the proxy indicators of household wealth levels, we identified that about 39% were relatively well-off, while the rest were very poor. Tobacco use was prevalent in men regardless of age and in women aged over 35 years. Prevalence of self-reported hypertension and diabetes was slightly higher in women than in men, although over 70% of the respondents didn't know if they had such diseases. Incidences of diarrhea in the last one month were relatively low.

Conclusions: The study showed population profile and sanitation environment in an urban poor community by a complete count survey. We expect the study to serve as a baseline for future epidemiological studies.

Keywords: Bangladesh; Baseline population survey; Non-communicable diseases; Residential environment; The urban poor.

MeSH terms

  • Bangladesh / epidemiology
  • Humans
  • Noncommunicable Diseases / epidemiology*
  • Population Dynamics*
  • Poverty*
  • Residence Characteristics*
  • Risk Factors
  • Sanitation*
  • Self Report
  • Urban Population / statistics & numerical data*