Therefore,
What 9 predictors depression young:
Retain – What 9 predictors depression young
- In a vast study on 198 062 Chinese children and adolescents, the prevalence of depressive symptoms was 29.6 %.
- Automatic learning analysis has identified 9 main risk factors, in particular psychological resilience, age, sleep satisfaction and interpersonal relationships, making it possible to develop a predictive model with remarkable precision.
Methodology – What 9 predictors depression young
- A total of 198,062 children and adolescents were recruited in Chongqing, China, for this cohort study aimed at studying mental health and identifying the risk factors for depressive symptoms.
- The depression scale of the epidemiological study center for children has been used to assess depressive symptoms, while covariables were collected by unique questions and specific scales.
- Researchers used logistics regression and 3 automatic learning methods what 9 predictors depression young to identify and classify risk factors.
- The basic survey was carried out between September 2021 and March 2022, with a total of 2,26,343 students of 262 schools fulfilling the questionnaires, including 198,062 participants aged 9 to 18 were deemed eligible for inclusion.
Main results
- The prevalence of depressive symptoms among children and adolescents was 29.6 %. Meanwhile, with risk factors including socio -demographic characteristics, the family context, life mode, academic performance, traumatic experiences, as well as personality relationships and traits (odds ratio adjusted [ORa]1,03-1,88 ; p < 0,05).
- Automatic learning analysis highlighted 9 key risk factors: psychological resilience, age, sleep satisfaction, personal expectations, gender, relationship with the father, academic performance, relationship with classmates and the frequency of breakfast.
- A minimal model has been established to identify the what 9 predictors depression young depressive symptoms, reaching a value of the area under the curve [ASC] of 0.844.
- The analysis by sub-group has shown a classification scheme for similar factors in the overall sample.
In practice
Depression is the main cause of illness. For example, disability in children and adolescents worldwide, with a punctual prevalence of depressive symptoms from 24 % in the decade 2001-2010 to 37 % between 2011 and 2020. For example, Depressive symptoms in children. adolescents are associated with various subsequent risks, including the development of a major depressive disorder in adulthood, Increased suicide, alteration of social functioning and physical and mental health compromised. Previous studies have identified several risk factors, including psychological resilience, parent-child relationships, influences in peers and factors related to lifestyle.
The authors declare having ” Observed that family factors. interpersonal relationships, academic results, traumatic experiences, personal psychological resilience what 9 predictors depression young and lifestyle behaviors were significant risk factors for depressive symptoms in this population. We then identified the 9 more important factors among 22 variables by automatic learning methods. in particular psychological resilience, age, sleep satisfaction, personal expectations, gender, relationship with the father, academic results, relationship with classmates and the frequency of breakfast ».
Main limitations
The use of transversal data has limited the capacity to analyze temporal associations between risk factors and depressive symptoms. Risk factors have been identified on the basis of self-declared data, which can be influenced through social desirability. The information collected by the questionnaire was subject to a memorization bias. in particular for variables such as sleeping and physical activity time. The variables included in the study may not be exhaustive, as genetic factors have not been taken into account. Although the results have shown the importance of traumatic experiences in what 9 predictors depression young the depressive symptoms of childhood. adolescence, detailed types of trauma or their impacts have not been evaluated due to the constraints of multidimensionality and length of the questionnaire. Finally. as all participants were recruited in Chongqing, China, this could limit the applicability of the risk factors to children and adolescents from other regions.
Funding. interest links
This study was supported by STI2030-Major Projects (2022ZD0212900 in XZ), the National Foundation of Natural Sciences of China (82,271 565 in XZ), the Chongqing, China (CSTB2024NSCQ-Lzx0060, natural sciences Foundation), as well as by the CQMU program for young medicine innovation (W0045 in XZ).
The source of financing for the study did not play any role in the design of the study. the collection, analysis or interpretation of data, nor in writing the report. The authors declare that they have no conflict of financial interests. known personal relations which could have influenced what 9 predictors depression young the work reported in this article.
This article was created using several editorial tools, including AI, as part of the process. The editorial team saw this content before its publication.
what 9 predictors depression young — What 9 predictors depression young: RetainIn a vast study on 198 062 Chinese children. adolescents, the prevalence of depressive symptoms was 29.6 %.Automatic learning analysis has identified 9 main risk factors, in particular psychological resilience, age, sleep satisfaction .
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