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Association between lifestyle factors and suboptimal health status among Chinese college freshmen: a cross-sectional study

Overview of attention for article published in BMC Public Health, January 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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1 news outlet
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1 X user

Citations

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33 Dimensions

Readers on

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69 Mendeley
Title
Association between lifestyle factors and suboptimal health status among Chinese college freshmen: a cross-sectional study
Published in
BMC Public Health, January 2018
DOI 10.1186/s12889-017-5002-4
Pubmed ID
Authors

Chenjin Ma, Wangli Xu, Long Zhou, Shuangge Ma, Yu Wang

Abstract

Suboptimal health status (SHS) is the third state between good health and disease. SHS is the clinical or pre-disease status of psychosomatic disease and a major global public health challenge. Although its underlying causes remain unclear, lifestyle is one of the most important factors affecting health status. A cross-sectional survey was conducted at Renmin University of China in September of 2015. Data were collected from college freshmen using a questionnaire covering characteristics, lifestyle, nutrition status, and health status. A total of 6025 questionnaires were distributed during the study period, and 5344 completed responses were received. The prevalence rates for the "healthy," "SHS," and "disease" groups of college freshmen were 46.7% (2433), 51.2% (2667), and 2.1% (111), respectively. It is notable that health status was significantly positively correlated with lifestyle (Spearman's r = 0.4435, p < 0.001). The multivariate Logistic regression results showed that students who were relatively younger and students from rural areas had a higher percentage of SHS. Good sleep quality (aOR = 0.650, 95%CI = 0.612-0.690), abundant physical exercise (aOR = 0.889, 95%CI = 0.845-0.933), and adequate nutrition intake (aOR = 0.868, 95%CI = 0.864-0.908) are negatively associated with SHS. Overuse of electronic devices (aOR = 1.066, 95%CI = 1.013-1.121), smoking (aOR = 1.824, 95%CI = 1.195-2.755), and weight loss (aOR = 1.255, 95%CI = 1.043-1.509) are positively associated with SHS. Poor lifestyle behaviors are associated with SHS. In particular, the overuse of electronic devices is one of underlying causes of SHS. By altering lifestyle behaviors for the better, the health statuses of these college freshmen can be effectively improved.

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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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 19%
Student > Bachelor 8 12%
Student > Postgraduate 6 9%
Lecturer 5 7%
Student > Ph. D. Student 4 6%
Other 7 10%
Unknown 26 38%
Readers by discipline Count As %
Nursing and Health Professions 13 19%
Medicine and Dentistry 8 12%
Psychology 6 9%
Engineering 4 6%
Sports and Recreations 4 6%
Other 8 12%
Unknown 26 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 24 December 2019.
All research outputs
#3,195,255
of 23,015,156 outputs
Outputs from BMC Public Health
#3,619
of 14,994 outputs
Outputs of similar age
#72,977
of 441,866 outputs
Outputs of similar age from BMC Public Health
#88
of 227 outputs
Altmetric has tracked 23,015,156 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,994 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has done well, scoring higher than 75% of its peers.
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 441,866 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 227 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.