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Enregistrement W2958166839 · doi:10.1097/cm9.0000000000000326

Depressive severity associated with cesarean section in young depressed individuals

2019· article· en· W2958166839 sur OpenAlexaff
Xiaotong Yang, Wenrui Zhang, Zichen Tian, Kun Wang, Weijun Ding, Yuan Liu, Chunxiu Wang, Haixia Leng, Peng Mao, Wenfeng Zhao, Jiayi Li, Lei Yang, Xingyue Zhang, Lei Wu, Junhui Wang, Alejandro Fernandez, Tianmei Si, Liuhui Fu, Jean‐Eric Ghia, Huiqing Dong, Yuping Wang, Hongxing Wang

Notice bibliographique

RevueChinese Medical Journal · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueMaternal Mental Health During Pregnancy and Postpartum
Établissements canadiensUniversity of TorontoLunenfeld-Tanenbaum Research InstituteUniversity of ManitobaMount Sinai Hospital
Organismes subventionnairesTsinghua UniversityNational Natural Science Foundation of ChinaChongqing Medical UniversityJohns Hopkins University
Mots-clésMedicinePsychiatryMajor depressive disorderNeuropsychiatryDepression (economics)NeurologyMini-international neuropsychiatric interviewCross-sectional studyPediatricsAnxietyMood

Résumé

récupéré en direct d'OpenAlex

To the Editor: Major depressive disorder (MDD) is among the leading causes of youth suicide. Cesarean section (C-section) affects not only mother but also the children, including babies’ cognitive and brain development as well as other physical diseases.[1] Many diseases affecting children have been found to be related to C-section delivery, mainly due to lacking vaginal microorganisms and the squeezing pressure experienced by infants during normal vaginal birth.[1] However, there have been few reports of an association between depressive severity and C-section delivery in young patients with MDD. Therefore, we aimed to analyze the primary association between depressive symptoms and C-section delivery in young depressed patients. This cross-sectional study recruited consecutively 347 patients (178 males, 169 females) aged 19 to 30 years with a diagnosis of MDD according to Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-V) criteria who underwent in-person interviews, the mini international neuropsychiatric interview, and physical examinations by experienced psychiatrists at Division of Neuropsychiatry, Department of Neurology, Xuanwu Hospital of Capital Medical University (Beijing, China) between August 20, 2015, and December 28, 2018. All patients were excluded with anemia, thyroid dysfunction, mental retardation, neurologic conditions, bipolar disorders, schizophrenia, and other mental disorders. Depressive symptoms were assessed with the Hamilton rating scale for depression (HAMD-17) by three experienced psychological testing technicians who were blinded to all subjects’ birth delivery types at the Neuropsychological Center of Department of Neurology of Xuanwu Hospital. The study was conducted in accordance with the Declaration of Helsinki and was approved by the Ethics Committee of Xuanwu Hospital. As a retrospective study and data analysis were performed anonymously, this study was exempt from the informed consent from patients. The HAMD-17 total and its five domains, including anxiety, weight, cognitive dysfunction, retardation, and sleep disturbance, were assessed. The information on all participants who were born full-term by vaginal delivery or full-term by C-section delivery, provided by patients and/or their parents. Age of onset, gender, marriage, educational level, occupation, and disease course were collected from all patients and/or their family members during their first visit to the outpatient clinic. The disease course referred to the length of time from the onset of the patients’ disease to the first time they were diagnosed as MDD. The highest educational level and qualifications responses were dichotomized to categorize participants as either having a high school diploma or not. This corresponds to the criteria of 9 years of education. Based on the total score of the HAMD-17, patients were divided into two depressive groups, such as moderate with 17 to 23 of HAMD and severe with ≥24. Non-parametric tests and Chi-square tests were used to assess the differences of continuous variables and categorical variables between two groups, respectively. Multivariate logistic regression was utilized to investigate the associations of depressive severity with delivery type, adjusted for age of onset, gender, marital status, educational level, occupation, and disease course. Data analysis was conducted between April 15, 2019, and April 18, 2019 using SPSS for Windows Version 15.0 (SPSS Inc., Chicago, IL, USA) with two-tailed P values set at 0.05. Statistical significance was observed for the association of depressive severity with age of onset, occupation, disease course, marital status and delivery type (all P < 0.01), as shown in Supplementary Table 1. Further multivariate logistic regression model was used to explore the impact of delivery type on depressive severity adjusted for above-mentioned covariates, and found those with C-section delivery were more likely to suffer from severe depression (odds ratio 3.50, 95% confidence interval, 1.72–7.14; P < 0.01). In this study, the age of participants was 25.7 ± 3.0 years, and a total of 58% of the recruited MDD participants were born by C-section delivery. And those born by C-section had a greater severity of depression compared to the vaginal delivery group. Compared with the moderate depressive patient group, the severe group had older age of onset, higher proportion of C-section delivery, shorter disease course, and higher the divorced rate. Our results added on the previous reported findings mainly focusing on the risk factors that increasing the severity of depression, such as mental or physical comorbidities, low education level or social status, and high living pressure.[2] We also found that depressive severity in young patients with MDD correlated with age of onset, marital status, occupation, disease course, and delivery type. Moreover, we showed that C-section significantly increased the risk of severity of depression in young depressed patients. The route of delivery had a close association with the development of an individual's physical and cognitive functioning in the future.[3] C-section has been shown to influence the composition of the vaginal and intestinal microflora as an increased risk of MDD, because these organisms can synthesize and transport neuroactive substances that participate in the gut-brain axis.[4] Interestingly, this preliminary study indicated that depressive severity in young patients with MDD correlated with C-section which might be an important factor contributing to depression. However, due to the cross-section study design, further investigations need to highlight the relationship among depressive severity, mechanism, pathogenesis, and C-section birth delivery. Declaration of patient consent The authors certify that they have obtained all appropriate patient consent forms. In the form, the patients have given their consent for their images and other clinical information to be reported in the journal. The patients understand that their names and initials will not be published and due efforts will be made to conceal their identity, but anonymity cannot be guaranteed. Acknowledgements The authors acknowledge Dr. Akira Sawa (Department of Psychiatry, Johns Hopkins University, Baltimore, MD, USA), Dr. Ulrich Hegerl (Department of Psychiatry and Psychotherapy, University of Leipzig, Leipzig, Saxony, Germany), Dr. Xiao-Huan Guo (Tsinghua University School of Medicine, Beijing, China), Dr. Qi Xu (Peking Union Medical University, Beijing, China), and Dr. Peng Xie (Chongqing Medical University, Chongqing, China) for their great comments. We also thank our research team for their efforts and all participants for their professionalism in this study. Funding This work was supported by grants from the Beijing Municipal Science and Technology Project (No. Z171100000117016), National Natural Science Foundation of China (No. 81771862), the Beijing Natural Science Foundation (No. KZ201710025017), the Beijing Municipal Hospital Research and Development Plan (No. PX2017069), and the Beijing Hundred, Thousand, and Ten Thousand Talents Project (No. 2017-CXYF-09). Conflicts of interest None.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,013
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,009
Tête enseignante GPT0,283
Écart entre enseignants0,274 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2019
Routes d'admission1
Résumé présentoui

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