Predictors for neonatal death in the rural areas of Shaanxi Province of Northwestern China
A cross-sectional study
Bibliographic Data
| ID | 15359507 |
|---|---|
| Authors | Chao Li (0000-0002-7543-3973, Xi'an Jiaotong University, corresponding author), Hong Yan (0000-0003-3360-5543, Xi'an Jiaotong University), Lingxia Zeng (0000-0002-4649-9818, Xi'an Jiaotong University), Michael J Dibley (0000-0002-1554-5180, The University of Sydney), Duolao Wang (0000-0003-2788-2464, Liverpool School of Tropical Medicine) |
| Year | 2015 |
| Volume | 15 |
| Issue | 1 |
| Pages | 387-387 |
| Publication date | 2015-04-14 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | BMC Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1471-2458 • E-ISSN: 1471-2458 |
| Publisher | BioMed Central (PUBLISHER • GB) |
| DOI | 10.1186/s12889-015-1738-x |
| PMID | 25887409 |
| PMCID | PMC4403673 |
| OpenAlex | W2014085239 |
| Language | EN |
| Citations received | 1 |
| References cited | 28 |
Public health interventions directed at reducing neonatal death should address the socioeconomic factors and maternal health service utilization, which significantly influence neonatal mortality in rural China. Multipara, low educational level of the women, availability of prenatal visits in the first trimester of pregnancy and hospital delivery should be considered when planning the interventions to reduce the neonatal mortality in rural areas
Biostatistics · Cross-sectional study · Environmental health · Logistic regression · Odds ratio · Population · Pregnancy · Psychological intervention · Public health · Rural area · Socioeconomic status · Child Nutrition and Water Access · Demography · Global Maternal and Child Health · Maternal and Neonatal Healthcare · Medicine · Nursing
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| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |