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A reversed gender pattern? A meta-analysis of gender differences in the prevalence of non-suicidal self-injurious behaviour among Chinese adolescents

Overview of attention for article published in BMC Public Health, July 2017
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Title
A reversed gender pattern? A meta-analysis of gender differences in the prevalence of non-suicidal self-injurious behaviour among Chinese adolescents
Published in
BMC Public Health, July 2017
DOI 10.1186/s12889-017-4614-z
Pubmed ID
Authors

Xueyan Yang, Marcus W. Feldman

Abstract

A reversed gender pattern has been observed in the suicide rate in China compared to elsewhere. Like suicidal behaviour, non-suicidal self-injurious (NSSI) behaviour is a health-risk behaviour. We examined whether a reversed gender pattern existed in the prevalence of NSSI. Online literature databases were searched for English and Chinese articles on NSSI behaviours among the Chinese. A meta-analysis with a random-effects model and a subgroup analysis were used to estimate the odds ratios of gender differences in NSSI prevalence among Chinese adolescents including college students, middle school students, and clinical samples, as well as rural, urban, and Hong Kong middle school students. There was a male bias in NSSI prevalence among college students (OR = 1.56, 95% CI = [1.30, 1.87], p < 0.001), and a female bias among middle school students (OR = 0.83, 95% CI = [0.73, 0.94], p < 0.01), but there was no gender difference among clinical samples (OR = 0.88, 95% CI = [0.41, 1.89], p > 0.1). The NSSI prevalence among middle school students had a female bias in the rural (OR = 0.58, 95% CI = [0.47, 0.72], p < 0.001) and Hong Kong areas (OR = 0.91, 95% CI = [0.86, 0.96], p < 0.001), with the gender difference in NSSI prevalence in the Hong Kong areas being greater than in rural areas. No gender difference in NSSI prevalence was found in urban areas (OR = 1.01, 95% CI = [0.84, 1.22], p > 0.1) among middle school students. Our analysis indicated the existence of specific gender and age patterns in NSSI prevalence among Chinese adolescents. The sample type, age, and the areas that have different gender norms and culture could partly explain this pattern.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 92 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 14%
Student > Bachelor 12 13%
Researcher 10 11%
Student > Ph. D. Student 8 9%
Other 3 3%
Other 11 12%
Unknown 35 38%
Readers by discipline Count As %
Psychology 16 17%
Medicine and Dentistry 13 14%
Social Sciences 5 5%
Nursing and Health Professions 4 4%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 13 14%
Unknown 37 40%
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 31 July 2017.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Public Health
#14,502
of 15,466 outputs
Outputs of similar age
#279,201
of 318,436 outputs
Outputs of similar age from BMC Public Health
#167
of 176 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,466 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 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 176 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.