Full
Outline
To explore the association of latent profiles of mobile phone dependence and self-control with physical exercise among junior high school students, so as to provide references for the prevention of mobile phone dependence and the improvement of self-control among junior high school students.
From April to May 2024, a stratified random cluster sampling method was used to select a total of 2 311 students from grade 7 to grade 9 in three public junior high schools in Xiangxi Autonomous Prefecture, Hunan Province. Latent profile analysis was conducted to identify the latent profiles of mobile phone dependence and self-control among junior high school students. Pearson correlation analysis was used to examine the correlation between mobile phone dependence and self-control, and Chi-square test was used to analyze the distribution differences of latent profiles of adolescents across different demographic characteristics. Multiple Logistic regression analysis was applied to explore the association between mobile phone dependence, self-control, and physical exercise.
Four latent profiles of mobile phone dependence and self-control were identified: low dependence-moderate self-control group (n=885, 38.3%), moderate dependence-low self-control group (n=910, 39.4%), high dependence-no self-control group (n=232, 10.0%), and no dependence-high self-control group (n=284, 12.3%). Significant differences were observed in the distribution of latent profiles across gender, grade and only-child status (χ2=10.85, 35.72, 13.85, P < 0.05). Logistic regression analysis showed that, after controlling for demographic variables, compared with the low dependence-moderate self-control group, physical exercise was negatively associated with the moderate dependence-low self-control group (OR=0.79) and the high dependence-no self-control group (OR=0.81), while positively associated with the no dependence-high self-control group (OR=1.58) (P < 0.01).
The influence of physical exercise on junior high school students' different potential profile types of mobile phone dependence and self-control is different. Schools and families should adopt targeted physical exercise interventions based on the characteristics of different profiles to promote the physical and mental health of junior high school students.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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