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To analyze the associated factors affecting depressive symptoms in middle school students and to construct a risk prediction line graph model to assess the risk of developing depressive symptoms in middle school students.
A total of 1 088 middle school students were selected to participate in the monitoring and intervention project of common diseases and health influencing factors in Zhongmu County, Zhengzhou City, using the information collected from the questionnaires. A multivariate logistic regression analysis was employed to identify the factors that influenced the occurrence of depressive symptoms, and a column graph was established to predict the risk of depressive symptoms in middle school students.
The prevalence of depressive symptoms among middle school students reached 28.50%. Female students (OR=2.051,95% CI：1.475-2.851), living in school (OR=1.496,95% CI：1.069-2.093), abnormal family (OR=1.615,95% CI：1.013-2.530), beaten and scolded by parents within one month (OR=3.516,95% CI：2.159-5.726), smoking (OR=2.044,95CI：1.298-3.219), serious injury within one year (OR=2.576,95CI：1.225-5.417), bullying(OR=3.276,95CI：1.113-9.643), internet addiction (OR=7.421,95CI：4.624-11.909) can increase the risk of depressive symptoms in middle school students. Average daily fruit intake in a week (<1time/day: OR=0.513,95% CI：0.306-0.863; ≥1time/day: OR=0.500,95% CI：0.290-0.863), reduce the risk of depressive symptoms in middle school students. The Nomogram model based on the above factors had good differentiation (AUC=0.752) and accuracy (Hosmer-Lemeshow test result χ2=3.657, P>0.05).
Middle school students who are girls, live in school, abnormal families, beaten by parents within one month, seriously hurt within one year, smoking, bullying and Internet addiction are more likely to have depressive symptoms. The column-chart can be used to predict the risk of depression symptoms in middle school students effectively, so as to take timely intervention measures for high-risk groups.
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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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