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Screening results correlating to personality disorder traits in a new employee population of People's Republic of China

Overview of attention for article published in Neuropsychiatric Disease and Treatment, October 2016
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Title
Screening results correlating to personality disorder traits in a new employee population of People's Republic of China
Published in
Neuropsychiatric Disease and Treatment, October 2016
DOI 10.2147/ndt.s118668
Pubmed ID
Authors

Yan Tan, Yan Liu, Lei Wu

Abstract

Adaptation to a new environment may have an uncertain influence on young employees, whose values are still being formed during early adulthood. To understand the current mental status and further improve the mental health level of the new employee population of People's Republic of China, we conducted a cross-sectional study to screen the prevalence and correlates of personality disorder (PD) traits in this population. This study included all male participants who were new employees (those who had started working in approximately the last three months) from 12 machinery factories in People's Republic of China. The Personality Diagnostic Questionnaire-4+ was used to evaluate the mental status of all participants. The Connor-Davidson Resilience Scale was used to assess the resilience of the study participants. A total of 3,960 male participants were included in the analysis. The mean age of the study participants was 18.7±1.5 years. The mean values of all PD subtypes were scored from 0.74 to 2.90, with a total of 16.85. Of all 10 PD traits, obsessive-compulsive, histrionic, and narcissistic scored the highest. PD traits scored significantly higher among participants who had higher education levels, came from a single-parent (divorced or separated) family, were raised in a neglectful parental rearing pattern, were the only child of the family, were living in city areas, or had a lower family income. All subtype PD traits were significantly and negatively correlated with resilience. Education level, single-parent family, parental rearing pattern, only-child status, living place, and family income may influence the development of PD traits. Additional high-quality studies are needed to learn more about the mental health status of new employees. Optimal interventions are warranted to avoid potential adverse events in this population.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 16%
Student > Ph. D. Student 7 11%
Student > Doctoral Student 6 10%
Researcher 6 10%
Student > Bachelor 5 8%
Other 6 10%
Unknown 21 34%
Readers by discipline Count As %
Psychology 17 28%
Medicine and Dentistry 6 10%
Social Sciences 6 10%
Business, Management and Accounting 3 5%
Nursing and Health Professions 2 3%
Other 4 7%
Unknown 23 38%
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 07 October 2016.
All research outputs
#17,285,668
of 25,374,647 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,901
of 3,132 outputs
Outputs of similar age
#216,525
of 332,576 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#57
of 88 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,132 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 30th percentile – i.e., 30% 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 332,576 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.