Effects of Parental Marital Status on Negative Emotions and Nonsuicidal Self-injury Behaviors in Middle School Students: a Multicenter Cross-sectional Study
Notice bibliographique
Résumé
Background Effects of parental marital status on nonsuicidal self-injury (NSSI) behaviors and negative emotions in adolescents have been rarely reported, and the existing research sample size is relatively small. Objective To explore the association of parental marital status with negative emotions and NSSI in middle school students, to provide a reference for the prevention and control of NSSI in them. Methods A stratified random sampling method was used to conduct the questionnaire survey on students from 20 townships and 67 middle schools in Nanchong City and its surrounding areas from March to April 2020. The investigators input the questionnaire into the WJX.cn to generate QR codes, which were distributed to parents or student guardians by schools. The questionnaire, consisting of the General Information Questionnaire, Ottawa Self-injury Inventory (OSI) and the Chinese version of the Depression Anxiety Stress Scale-21 (DASS-21), was used to calculate the detection rates of NSSI, depression, anxiety and stress in middle school students to analyze the relevant factors affecting NSSI, depression, anxiety and stress in middle school students. Results A total of 8 785 students from 23 middle schools were surveyed, and 8 606 valid questionnaires were finally obtained, with a valid recovery rate of 98.0%. Among the 8 606 middle school students, there were 4 540 (52.8%) males, 4 066 (47.2%) females; 5 937 (69.0%) junior high school students, 1 028 (11.9%) senior high school students and 1 641 (19.1%) vocational high school students; 7 274 (84.5%) students in two-parent families, 787 (9.1%) students in divorced single-parent families, and 545 (6.4%) students in families with divorced and remarried parents. The detection rates of NSSI, depression, anxiety and stress in middle school students were 5.6% (486/8 606), 21.9% (1 884/8 606), 26.8% (2 305/8 606) and 12.3% (1 060/8 606), respectively. The results of multivariate Logistic regression analysis showed that among all middle school students, compared with boys, girls had a higher risk of NSSI (OR=2.363, 95%CI=1.946-2.868) and anxiety (OR=1.195, 95%CI=1.086-1.315) ; compared with junior high school students, vocational high school students had a higher risk of NSSI (OR=1.847, 95%CI=1.494-2.284), depression (OR=1.886, 95%CI=1.667-2.134), anxiety (OR=1.857, 95%CI=1.141-1.532) and stress (OR=1.527, 95%CI=1.309-1.781) ; compared with middle school students in two-parent family, students in divorced single-parent family had a higher risk of NSSI (OR=2.194, 95%CI=1.669-2.834), depression (OR=1.563, 95%CI=1.326-1.843), anxiety (OR=1.573, 95%CI=1.346-1.839) and stress (OR=1.417, 95%CI=1.153-1.741), students in families with divorced and remarried parents also had a higher risk of NSSI (OR=2.207, 95%CI=1.638-2.975), depression (OR=1.863, 95%CI=1.543-2.249), anxiety (OR=1.796, 95%CI=1.499-2.153) and stress (OR=1.821, 95%CI=1.453-2.282) ; compared to middle school students who are taken care of by their parents for a long time, those who are taken care of by their father alone, mother alone or grandparents alone for a long time had a higher risk of NSSI, depression and anxiety (by father alone: OR=2.045, 95%CI=1.366-3.062; OR=1.633, 95%CI=1.289-2.145; OR=1.373, 95%CI=1.069-1.762; by mother alone: OR=1.772, 95%CI=1.141-2.751; OR=1.435, 95%CI=1.095-1.882; OR=1.513, 95%CI=1.174-1.951; by grandparents alone: OR=2.465, 95%CI=1.918-3.168; OR=1.783, 95%CI=1.513-2.100; OR=1.843, 95%CI=1.577-2.154), students who were taken care of by mother alone or by grandparents alone had a higher risk of stress (OR=1.604, 95%CI=1.166-2.207; OR=1.678, 95%CI=1.375-2.049) (P<0.05) . Conclusion The NSSI, depression, anxiety and stress of middle school students are related to parental divorce and caregivers. Therefore, special attention and intervention should be given to middle school students in these situations.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».