Evidence map›Paper›PMID 29073132›Full record

ArticlePloS one2017

Patterns, factors associated and morbidity burden of asthma in India.

Prakash Kumar, Usha Ram

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Management of Acute Asthma in Children.Indian journal of pediatrics · 2022
    Review
  8. Frontiers in pharmacology · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. COVID-19 and Comorbidities: Audit of 2,000 COVID-19 Deaths in India.Journal of epidemiology and global health · 2021
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Fibroblast-to-myofibroblast transition in bronchial asthma.Cellular and molecular life sciences : CMLS · 2018
    Review
  20. Respiratory disease burden in India: Indian chest society SWORD survey.Lung India : official organ of Indian Chest Society
    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

2 authors at 1 institution in 1 country.

Prakash KumarInternational Institute for Population Sciences, Mumbai, Maharashtra, India.ORCID http://orcid.org/0000-0002-1191-4145
Usha RamDepartment of Public Health and Mortality Studies, International Institute for Population Sciences, Mumbai, Maharashtra, India.
International Institute for Population Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAsthma is a non-curable but preventable disease, responsible for higher morbidity worldwide. According to recent WHO report, nearly 235 million people are suffering from asthma leading to 383000 deaths in 2015. The burden of asthma morbidity is higher in developed countries and is increasing in developing countries.

objectiveThe present study was aimed at studying the change in prevalence rate of asthma, associated risk factors and estimation of morbidity burden and avoidable cases of asthma in India.

methodsThe second round of Indian Human Development Survey (IHDS-II), 2011-12, was used for the study. For the present study, asthma was defines as ever diagnosed with asthma or having cough with short breath. Multiple-logistic regression was used to identify the possible risk factors associated with prevalence of reporting asthma. Population attributable fractions (PAFs) were computed to estimate the overall and risk factors specific burden of morbidity due to asthma using the extrapolated population of year 2015 using 2011 census.

resultsOverall prevalence rate of asthma increased from 41.9 (per 1000 population) in 2004-05 to 54.9 (per 1000 population) in 2011-12. The prevalence rate of reporting asthma was higher in poorer states compared to richer states, and also varied by sub-geographies, with higher prevalence rate in northern states of the country and lower rates in north-eastern states of the country. The odds of reporting asthma was higher for younger and older ages, individual with fewer years of schooling (OR: 1.41; 95% CI: 1.21-1.64) for individual with zero years of schooling compared to those with 11 or more years of schooling, individual from lower economic status, individual living in household using unclean fuels (OR:1.21; 95% CI: 1.08-1.34) and smokers (OR: 1.34; 95% CI: 1.17-1.55) compared to their counterparts. In the year 2015, the overall morbidity burden of asthma was estimated at nearly 65 million and more than 82 thousand deaths were attributed due to asthma. The burden was highest among individuals living in households using solid fuels (firewood~80%, Kerosene~78%). One-third of the cases could be eliminated by minimising the use of any solid fuels. Around 17% of all the asthma cases in population could be attributed to underweight.

conclusionEliminating the modifiable risk factors could help reduce in huge amount of asthma cases for example by providing education, cessation in smoking, and schemes like Pradhan Mantri Ujjwala Yojana (PMUY), by providing clean fuel (LPG) to poor and vulnerable households.

Indexed as

AdolescentAdultAgedAsthmaChildChild, PreschoolFemaleHumansIndiaLogistic ModelsMaleMiddle AgedPrevalenceYoung Adult

Identifiers

PMID29073132
PMCPMC5657621
OpenAlexW2765300320

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.