Evidence map›Paper›PMID 39247639›Full record

ArticleFrontiers in medicine2024

The incidence and risk factors of depression across six time points in the perinatal period: a prospective study in China.

Jue Zhu, Youchun Ye, Xuan Liu, Yichen Chen, Lu Chen, Yi Lin, Qiming Wang, Jing Zhang

Abstract read
In one paragraph

Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jue Zhu *Department of Gynecology and Obstetrics, Women and Children's Hospital of Ningbo University, Ningbo, Zhejiang, China.
Youchun Ye *Department of Gynecology and Obstetrics, The Affiliated People's Hospital of Ningbo University, Ningbo, Zhejiang, China.
Xuan LiuDepartment of Computer and Data Engineering, NingboTech University, Ningbo, Zhejiang, China.
Yichen ChenDepartment of Basic Research Laboratory, Women and Children's Hospital of Ningbo University, Ningbo, Zhejiang, China.
Lu ChenDepartment of Gynecology and Obstetrics, Women and Children's Hospital of Ningbo University, Ningbo, Zhejiang, China.
Yi LinDepartment of Gynecology and Obstetrics, Women and Children's Hospital of Ningbo University, Ningbo, Zhejiang, China.
Qiming WangDepartment of Gynecology and Obstetrics, Women and Children's Hospital of Ningbo University, Ningbo, Zhejiang, China.
Jing ZhangDepartment of Gynecology and Obstetrics, Women and Children's Hospital of Ningbo University, Ningbo, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Perinatal depression (PND) affects approximately 15%-20% of women. This study aimed to determine the incidence of PND and identify risk factors. Methods: A prospective study was conducted at the Affiliated People's Hospital of Ningbo University. The Edinburgh Postnatal Depression Scale (EPDS) was used to screen for PND. Classification models were constructed using Extreme Gradient Boosting (XGBoost), Logistic Regression (LR), Random Forest (RF), and Support Vector Machine (SVM), and the optimal model was selected. Results: Between March 2019 and August 2021, a total of 485 participants completed all valid questionnaires. Depression was observed in 75 (15.5%), 47 (9.7%), 25 (5.2%), 94 (19.4%), 85 (17.5%), and 43 (8.9%) cases during the first trimester, the second trimester, the third trimester, 1 week postpartum, 6 months postpartum, and 12 months postpartum, respectively. During the prenatal period, factors such as monthly income, employment status, marital status, and thyroid function significantly impacted depression. Additionally, factors including monthly income, employment status, marital status, parity, and unintended pregnancy were found to affect the likelihood of developing postpartum depression. XGBoost was chosen for its accuracy (0.9097) and precision (0.9005) in predicting prenatal depression, as well as for its accuracy (0.9253) and precision (0.9523) in predicting postpartum depression. Discussion: In conclusion, the incidence of depression varies throughout the perinatal period, with different factors influencing prenatal and postpartum depression.

Indexed as

Edinburgh Postnatal Depression Scaleincidenceperinatal depressionrisk factorssix time points

Identifiers

PMID39247639
PMCPMC11377249

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.