↓ Skip to main content

Religious involvement and tobacco use in mainland China: a preliminary study

Overview of attention for article published in BMC Public Health, February 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
51 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Religious involvement and tobacco use in mainland China: a preliminary study
Published in
BMC Public Health, February 2015
DOI 10.1186/s12889-015-1478-y
Pubmed ID
Authors

Zhizhong Wang, Harold G Koenig, Saad Al Shohaib

Abstract

Cigarette smoking causes serious health, economic, and social problems throughout the world. Religious involvement is known to be an important predictor of health behaviors and substance use. The present study examines the correlation between religious involvements and tobacco use, and explores connections between religiosity and tobacco use in Muslims and non-Muslims in Western China. Data were examined from a representative sample of 2,770 community-dwelling adults in the province of Ningxia located in Western China. Self-report smoking, past smoking, religious attendance and the importance of religious in daily life were measured. The WHO Composite International Diagnostic Interview was used to diagnose tobacco use disorders. Three separate logistic regression models were used to examine correlations between religious involvement and smoking status. In the overall sample, religious attendance was inversely associated with current smoking (p < 0.001), as was importance of religion (p < 0.05). Current smoking was also less common in those categorized as high on religious involvement. No association, however, was found between religious involvement and either past smoking or tobacco use disorders. In Muslims, both religion attendance and high religiosity were inversely associated with current smoking (p < 0.001), although no association was found in non-Muslims. Religious involvement is inversely related to current smoking in Western China, although this association depends on religious affiliation.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 7 14%
Student > Ph. D. Student 5 10%
Student > Master 4 8%
Student > Bachelor 4 8%
Lecturer > Senior Lecturer 3 6%
Other 13 25%
Unknown 15 29%
Readers by discipline Count As %
Medicine and Dentistry 9 18%
Psychology 6 12%
Nursing and Health Professions 6 12%
Economics, Econometrics and Finance 4 8%
Agricultural and Biological Sciences 2 4%
Other 9 18%
Unknown 15 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 April 2022.
All research outputs
#19,187,140
of 23,778,637 outputs
Outputs from BMC Public Health
#13,300
of 15,402 outputs
Outputs of similar age
#187,335
of 256,271 outputs
Outputs of similar age from BMC Public Health
#207
of 248 outputs
Altmetric has tracked 23,778,637 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,402 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 256,271 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 248 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.