Depression symptoms in Chinese perinatal women
A cross-sectional and longitudinal network analysis
Bibliographic Data
| ID | 21622194 |
|---|---|
| Authors | Shumeng Ma (0009-0002-5157-9545, Hebei Normal University), Ning Jia (0000-0002-5659-5731, Hebei Normal University, corresponding author) |
| Year | 2024 |
| Volume | 43 |
| Issue | 45 |
| Pages | 35099-35109 |
| Publication date | 2024-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Current Psychology (JOURNAL) |
| Journal identifiers | ISSN: 1046-1310 • E-ISSN: 1936-4733 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s12144-024-07001-5 |
| OpenAlex | W4404599294 |
| Language | EN |
| Citations received | 1 |
| References cited | 46 |
Cross-sectional study · Developmental psychology · Child and Adolescent Psychosocial and Emotional Development · Clinical Psychology · Functional Brain Connectivity Studies · Medicine · Mental Health Research Topics · Psychology
Comparing network structures on three aspects
A systematic review and meta-regression of the prevalence and incidence of perinatal depression
Learning Bayesian Networks with the bnlearn R Package
Cross-cultural and social diversity of prevalence of postpartum depression and depressive symptoms
Epidemiology of maternal depression, risk factors, and child outcomes in low-income and middle-income countries
Mental disorders as networks of problems
A network theory of mental disorders
Network analysis of depression and anxiety symptom relationships in a psychiatric sample
Depression sum-scores don’t add up
Causal inference in statistics
Network Analysis
Post-traumatic stress disorder and depressive symptoms among firefighters
Separating symbolic and active representation
The Gaussian Graphical Model in Cross-Sectional and Time-Series Data
Node centrality in weighted networks
Network Analyses of Maternal Pre- and Post-Partum Symptoms of Depression and Anxiety
State of the aRt personality research
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |