Evidence map›Paper›PMID 28747859›Full record

ArticleTobacco induced diseases2017

Smoking in pregnancy: a cross-sectional study in China.

Xianglong Xu, Yunshuang Rao, Lianlian Wang, Sheng Liu, Jeff J Guo, Manoj Sharma, Yong Zhao

Abstract read
In one paragraph

Article in Tobacco induced diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Prevalence and Determinants of Gestational Diabetes Mellitus: A Cross-Sectional Study in China.International journal of environmental research and public health · 2017
    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

7 authors.

Xianglong XuSchool of Public Health and Management, Chongqing Medical University, No, 1 Yixueyuan Road, Yuzhong District, Chongqing, 400016 China.
Yunshuang RaoSchool of Nursing, Chongqing Medical University, Chongqing, 400016 China.
Lianlian WangThe Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China.
Sheng LiuSchool of Public Health and Management, Chongqing Medical University, No, 1 Yixueyuan Road, Yuzhong District, Chongqing, 400016 China.
Jeff J GuoDivision of Pharmacy Practice and Administrative Sciences, College of Pharmacy, University of Cincinnati Medical Center, Cincinnati, OH 45267 USA.
Manoj SharmaDepartment of Behavioral and Environmental Health, Jackson State University, Jackson, 39213 USA.
Yong ZhaoSchool of Public Health and Management, Chongqing Medical University, No, 1 Yixueyuan Road, Yuzhong District, Chongqing, 400016 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFindings on smoking among pregnant women were mostly from high income countries and were rarely from China. This study aimed to estimate the prevalence of smoking and its influencing factors among pregnant women living in China.

methodsA cross-sectional analysis was conducted in this study. Data from pregnant women were collected in this study from June to August 2015 from 5 provinces of mainland China. A total of 2345 pregnant women were included in this study, the mean age of the participants was 28.12 years (SD 4.13).

resultsAbout 82.9% of smoking women quit smoking after they were pregnant. The prevalence of smoking among pregnant women was 3.8%. Among the participants, 40.0, 30.7, 1.8, 29.9, 0.8, 31.4, 31.2, and 26.7% had husbands, fathers-in-law, mothers-in-law, fathers, mothers, colleagues, friends, and relatives, respectively, who were smokers. Compared with pregnant women of basic education level (junior middle school or below), those of the higher education level (undergraduate or above) were at higher risk of smoking (OR, 5.17; 95% CI, 2.00-13.39). Compared with pregnant women from rural areas, urban pregnant women were less likely to be current smokers (OR, 0.55; 95% CI, 0.32-0.94). Compared with pregnant women whose mothers-in-law did not smoke, those whose mothers-in-law smoked were at higher risk of smoking (OR, 4.67; 95% CI, 1.87-11.70). However, compared with pregnant women whose husband did not smoke, those whose husband smoked were not significantly at higher risk of smoking (OR, 1.12; 95% CI, 0.73-1.73).

conclusionsMost of smoking women quit smoking after they became pregnant. Tailored intervention programs to reduce smoking in pregnant women should focus on those with higher education level, from rural areas, and pregnant women whose mothers-in-law smoke.

Indexed as

ChinaPregnancySmoking

Identifiers

PMID28747859
PMCPMC5525238

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.