Evidence map›Paper›PMID 26979241›Full record

ArticleBMC public health2016

Knowledge and perception about climate change and human health: findings from a baseline survey among vulnerable communities in Bangladesh.

Md Iqbal Kabir, Md Bayzidur Rahman, Wayne Smith, Mirza Afreen Fatima Lusha, Syed Azim, Abul Hasnat Milton

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
4.4field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 171 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Md Iqbal KabirCentre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, Faculty of Health and Medicine, The University of Newcastle, Newcastle, NSW, 2308, Australia. mdiqbal.kabir@uon.edu.au.
Md Bayzidur RahmanSchool of Public Health and Community Medicine, Faculty of Medicine, University of New South Wales, Sydney, Australia.
Wayne SmithCentre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, Faculty of Health and Medicine, The University of Newcastle, Newcastle, NSW, 2308, Australia.
Mirza Afreen Fatima LushaClimate Change and Health Promotion Unit, Ministry of Health and Family Welfare, Dhaka, Bangladesh.
Syed AzimSchool of Public Health and Community Medicine, Faculty of Medicine, University of New South Wales, Sydney, Australia.
Abul Hasnat MiltonCentre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, Faculty of Health and Medicine, The University of Newcastle, Newcastle, NSW, 2308, Australia.
University of Newcastle Australia · AUUNSW Sydney · AUMinistry of Health and Family Welfare · BDNational Institute of Cardiovascular Diseases · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBangladesh is one of the countries most vulnerable to climate change (CC). A basic understanding of public perception on vulnerability, attitude and the risk in relation to CC and health will provide strategic directions for government policy, adaptation strategies and development of community-based guidelines. The objective of this study was to collect community-based data on peoples' knowledge and perception about CC and its impact on health.

methodsIn 2012, a cross-sectional survey was undertaken among 6720 households of 224 enumeration areas of rural villages geographically distributed in seven vulnerable districts of Bangladesh, with total population of 19,228,598. Thirty households were selected randomly from each enumeration area using the household listing provided by the Bangladesh Bureau of Statistics (BBS). Information was collected from all the 6720 research participants using a structured questionnaire. An observation checklist was used by the interviewers to collect household- and community-related information. In addition, we selected the head of each household as the eligible participant for an interview. Evidence of association between sociodemographic variables and knowledge of CC was explored by cross-tabulation and measured using chi-square tests. Logistic regression models were used to further explore the predictors of knowledge.

resultsThe study revealed that the residents of the rural communities selected for this study largely come from a low socioeconomic background: only 9.6% had postsecondary education or higher, the majority worked as day labourer or farmer (60%), and only 10% earned a monthly income above BDT 12000 (equivalent to US $150 approx.). The majority of the participants (54.2%) had some knowledge about CC but 45.8% did not (p < 0.001). The majority of knowledgeable participants (n = 3645) felt excessive temperature as the change of climate (83.2%). Among all the respondents (n = 6720), 94.5% perceived change in climate and extreme weather events. Most of them (91.9%) observed change in rainfall patterns in the last 10 years, and 97.8% people think their health care expenditure increased after the extreme weather events. Age, educational qualification, monthly income, and occupation were significantly associated with the knowledge about climate change (p < 0.001). People with higher educational level or who live near a school were more knowledgeable about CC and its impact on health.

conclusionsThe knowledge level about CC in our study group was average but the perception and awareness of CC related events and its impact on health was high. The most influential factor leading to understanding of CC and its impact on health was education. School-based intervention could be explored to increase peoples' knowledge about CC and necessary health adaptation at community level.

Indexed as

Climate ChangePublic OpinionRural PopulationVulnerable PopulationsAdultAge FactorsBangladeshCross-Sectional StudiesFemaleHealth ExpendituresHumansLogistic ModelsMaleMiddle AgedPerceptionResidence CharacteristicsAdaptationBangladeshClimate changeHealthKnowledgePerception

Identifiers

PMID26979241
PMCPMC4791871
OpenAlexW2299885701

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.