| Title |
Investigation on Internet addiction disorder in adolescents in Anhui, People’s Republic of China
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, August 2016
|
| DOI | 10.2147/ndt.s110156 |
| Pubmed ID | |
| Authors |
Yan Chen, Yaowen Kang, Weizhi Gong, Lianping He, Yuelong Jin, Xiaoyue Zhu, Yingshui Yao |
| Abstract |
The purpose of this study was to describe the characteristics and prevalence of Internet addiction (IA) in adolescents so as to provide a scientific basis for the communities, schools, and families. We conducted a survey by randomized cluster sampling on 5,249 students, grades ranging from 7 to 12, in Anhui province, People's Republic of China. The questionnaire consisted of general information and IA test. Chi-square test was used to compare the status of IA disorder (IAD). In our results, the overall detection rate of IAD and non-IAD in students was 8.7% (459/5,249) and 76.2% (4,000/5,249), respectively. The detection rate of IAD in males (12.3%) was higher than females (4.9%). The detection rate of IAD was statistically different between students from rural (8.2%) and urban (9.3%) areas, among students from different grades, between students from only-child families (9.5%) and non-only-child families (8.1%), and among students from different family types. Prevalence of IA is high among Chinese adolescents. IAD has more effect on male students, single-child families, single-parent families, and higher grade students. We should take more care of male students, only-child students, and students living with their fathers, and related education should be strengthen for susceptible subjects of IDA. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 18% |
| Student > Ph. D. Student | 8 | 12% |
| Student > Bachelor | 8 | 12% |
| Researcher | 7 | 11% |
| Other | 3 | 5% |
| Other | 12 | 18% |
| Unknown | 15 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 23 | 35% |
| Medicine and Dentistry | 10 | 15% |
| Nursing and Health Professions | 5 | 8% |
| Social Sciences | 4 | 6% |
| Immunology and Microbiology | 1 | 2% |
| Other | 6 | 9% |
| Unknown | 16 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 15 September 2016.
All research outputs
#16,722,913
of 25,374,917 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,718
of 3,132 outputs
Outputs of similar age
#242,208
of 381,031 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#70
of 102 outputs
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