Evidence map›Paper›PMID 35360800›Full record

ArticleJournal of family medicine and primary care2022

Second hand smoke exposure in pregnant women in Dehradun, Uttarakhand: A cross sectional study.

Twinkle Sharma, Pradeep Aggarwal, Mahendra Singh

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 58% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution.

Twinkle SharmaDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Rishikesh, Uttrakhand, India.
Pradeep AggarwalDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Rishikesh, Uttrakhand, India.
Mahendra SinghDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Rishikesh, Uttrakhand, India.
All India Institute of Medical Sciences Rishikesh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: The aim of this study was to estimate the percentage and sources of secondhand smoke (SHS) exposure among non-smoking pregnant women. It was a cross-sectional study conducted among the non-smoking pregnant women registered at the primary health center (PHC) under the All India Institute of Medical Science (AIIMS), Rishikesh. Materials and Methods: All registered pregnant women at sub-center in the field practice area (Raiwala) of the Department of Community and Family Medicine, AIIMS Rishikesh were recruited in the study. In this study, a questionnaire was used for measuring the exposure of SHS. Mean and standard deviation (SD), median, minimum, and maximum were used for continuous variables. A Chi-square test was used to compare the association of categorical variables. Results: Out of the total participants, 62% were exposed to SHS. 33% of participants were exposed to SHS at home only, 24% at public places only, and 5% were the ones exposed both at home and public places. More than half (69%) of the participants were having inadequate knowledge about the harms caused by SHS. Conclusions: More than half of the participants were exposed to SHS. Inadequate knowledge among the participants about adverse effects of SHS exposure and insufficient practices and action were observed.

Indexed as

Environmental smoke exposurepassive smokepregnant womensecondhand smoke

Identifiers

PMID35360800
PMCPMC8963620
OpenAlexW4214630317

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.