Data from the 4172 women aged 15-49 interviewed in the 1988 Vietnamese Demographic and Health Survey were used to examine age at marriage, marriage to first birth intervals and age at first birth. Differences between urban and rural areas, northern and southern provinces and by education of the women were analysed. The majority of the women had their first birth before age 20, but women with secondary education had a significantly higher age at first birth than those with little or no education, and women from the north had a significantly higher age at first birth than women from the south. Rural women and those with little or no education married at significantly younger ages than urban women and those with secondary education; these education effects were confirmed in a rural subsample of women. Women from rural areas and from the north had significantly shorter marriage to first birth intervals than urban women and those from the south, but there were no significant effects related to education.
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BMC Public Health
January 2025
Department of Statistics and Data Science, Jahangirnagar University, Dhaka, 1342, Bangladesh.
Background: Child mortality is a reliable and significant indicator of a nation's health. Although the child mortality rate in Bangladesh is declining over time, it still needs to drop even more in order to meet the Sustainable Development Goals (SDGs). Machine Learning models are one of the best tools for making more accurate and efficient forecasts and gaining in-depth knowledge.
View Article and Find Full Text PDFMatern Child Health J
January 2025
Department of Public Health Nursing, Department of Nursing, Faculty of Health Science, Pamukkale University, Pamukkale, Campus Denizli, 20160, Turkey.
Background: During the first 6 weeks after birth, women often encounter problems and seek answers to their questions. This period is also crucial in terms of technology use.
Aim: The aim of this study was to examine the digital motherhood approach to self-care and infant care in the 6-week postpartum period, and its association with different variables.
Eur Radiol
January 2025
Departments of Radiology and Nuclear Medicine, Erasmus MC - Sophia Children's Hospital, Rotterdam, the Netherlands.
Chest imaging in children presents unique challenges due to varying requirements across age groups. For chest radiographs, achieving optimal images often involves careful positioning and immobilisation techniques. Antero-posterior projections are easier to obtain in younger children, while lateral decubitus radiographs are sometimes used when expiratory images are difficult to obtain and for free air exclusion.
View Article and Find Full Text PDFNat Immunol
January 2025
Department of Cardiology, Renji Hospital, School of Medicine, State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Shanghai Jiao Tong University, Shanghai, China.
A comprehensive understanding of the evolution of the immune landscape in humans across the entire lifespan at single-cell transcriptional and protein levels, during development, maturation and senescence is currently lacking. We recruited a total of 220 healthy volunteers from the Shanghai Pudong Cohort (NCT05206643), spanning 13 age groups from 0 to over 90 years, and profiled their peripheral immune cells through single-cell RNA-sequencing coupled with single T cell and B cell receptor sequencing, high-throughput mass cytometry, bulk RNA-sequencing and flow cytometry validation experiments. We revealed that T cells were the most strongly affected by age and experienced the most intensive rewiring in cell-cell interactions during specific age.
View Article and Find Full Text PDFNPJ Precis Oncol
January 2025
Department of Gastroenterology, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, China.
In the context of the global increase in early-onset tumours, investigating the global disease burden caused by early-onset pancreatic cancer (EOPC) is imperative. Data on the burden of EOPC were obtained from the Global Burden of Disease Study 2021. A joinpoint regression model was used to analyse the temporal trend of the EOPC burden, and an age‒period‒cohort (APC) model was used to analyse the influence of age, period, and birth cohort on burden trends.
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