Evidence map›Paper›PMID 31842287›Full record

ArticleInternational journal of environmental research and public health2019

Vulnerability and Adaptation to Extreme Heat in Odisha, India: A Community Based Comparative Study.

Subhashisa Swain, Shreeporna Bhattacharya, Ambarish Dutta, Sanghamitra Pati, Lipika Nanda

Open access · goldAbstract readComparative Study
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Characteristics of Households' Vulnerability to Extreme Heat: An Analytical Cross-Sectional Study from India.International journal of environmental research and public health · 2022
    Article
  3. Article
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

5 authors at 3 institutions in 2 countries.

Subhashisa SwainSchool of Medicine, University of Nottingham, Nottingham NG5 1PB, UK.ORCID 0000-0001-9207-1065
Shreeporna BhattacharyaIndian Institute of Public Health, Bhubaneswar, Public Health Foundation of India 267/3408, Mayfair Road, Jayadev Vihar, Bhubaneswar, Odisha 751013, India.
Ambarish DuttaIndian Institute of Public Health, Bhubaneswar, Public Health Foundation of India 267/3408, Mayfair Road, Jayadev Vihar, Bhubaneswar, Odisha 751013, India.
Sanghamitra PatiRegional Medical Research Center, Indian Council of Medical Research, Bhubaneswar, Odisha 751017, India.ORCID 0000-0002-7717-5592
Lipika NandaIndian Institute of Public Health, Bhubaneswar, Public Health Foundation of India 267/3408, Mayfair Road, Jayadev Vihar, Bhubaneswar, Odisha 751013, India.
Institute of Public Health Bengaluru · INRegional Medical Research Center · INUniversity of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExtreme heat and heat illness are becoming very frequent in India. We aimed to identify the factors associated with heat illness and the coping practices among city dwellers of Odisha, India during the summer.

methodsA cross-sectional study included 766 households (HHs) in twin cities of Odisha covering a population of 1099 (slum: 404 and non-slum: 695) in the year 2017. We collected information on sociodemographic, household characteristics, coping practices to heat and the heat illness history reported during the summer. Multivariate logistic regression accounting for clustering effects at the household and slum levels was used to identify the associated factors of heat illness after adjustment of other variables.

resultNearly, 49% of the study participants were female and the mean age was 38.36 years (95% confidence interval (CI): 37.33-39.39 years). A significant difference of living environment was seen across the groups. More than two-thirds of the study participants at least once had heat illness. In the non-slum population, males (adjusted odds ratio (aOR): 3.56; 95% CI: 2.39-5.29), persons under medication (aOR: 3.09; 95% CI: 1.15-8.29), and chronic conditions had higher association with heat illness. Whereas, in the slum population, having a kitchen outside the home (aOR: 1.63; 95% CI: 1.02-3.96) and persons with chronic conditions were positively associated with heat illness. Use of cooling practices in slum areas reduced the risk of heat illness by 60%.

conclusionHeat illness is associated with the living environment and physical health of the individuals. Identifying the vulnerable population and scaling up adaptive practices can strengthen the public health preparedness.

Indexed as

Adaptation, PhysiologicalAdolescentAdultChildChild, PreschoolChronic DiseaseCitiesCross-Sectional StudiesExtreme HeatFamily CharacteristicsFemaleHeat Stress DisordersHumansIndiaMaleMiddle Agedcoping mechanismheatIndiavulnerability

Identifiers

PMID31842287
PMCPMC6950623
OpenAlexW2996471268

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.