Women's holistic self-care behaviors during pregnancy and associations with psychological well-being: implications for maternal care facilities.

BACKGROUND: Self-care behaviors during pregnancy significantly impacts mother and children's health. This study aimed to explore the self-care behaviors and the associations of these behaviors with the psychological well-being of women during pregnancy, as well as the mediating effects of different social support with these associations. METHODS: A cross-sectional data of 562 pregnant women at Hanoi Obstetrics & Gynecology Hospital and Ca Mau Obstetrics & Pediatrics in Vietnam were analyzed. Questions about self-care behaviors, pregnancy characteristics, social support, and psychological well-being were asked. Multivariate regression models were performed. Structural Equation Modeling (SEM) was employed to test the mediating effects of different social support with the association between self-care behaviors and psychological well-being. FINDINGS: Only 13% of pregnant women often or always did physical exercise at least three times a week, and 40% consumed enough fiber and five servings of vegetables a day. Only 78.7% always avoided alcohol drinking, and 53.9% of pregnant women avoided being exposed to second-hand smoking and 71,7% avoided using traditional medicine without physicians' prescriptions. Around 66% of pregnant women always or often had prenatal care checkups as scheduled. Information sources, social support and childbirth expectation were major drivers for self-care practices. SEM model showed that social support mediated the relationship between maternal health behaviors and mental well-being. CONCLUSION: This study highlighted the remarkable gaps in self-care practices among our pregnant women, which were significantly associated with their mental well-being. Social support-oriented consultancy and interventions should be warranted for improving behaviors and the mental well-being of pregnant women in Vietnam.

Assessing Knowledge and Attitudes Regarding Pain Management Among Nurses Working in a Geriatric Hospital in Vietnam.

BACKGROUND: Nurses play a pivotal role in pain management. Knowing more about nurses' knowledge and attitudes regarding pain is important as we develop multidisciplinary pain services. Therefore, this study aimed to assess knowledge and attitudes regarding pain management among nurses in a geriatric hospital and its associated factors. SUBJECTS AND METHODS: A survey was conducted of nurses worked at the National Geriatric Hospital over a 3-month period. The Knowledge and Attitudes Survey Regarding Pain (KASRP) was utilized to assess nurses' knowledge and attitudes toward pain management. Four domains were defined based on KASRP, included cancer-related pain, pain assessment, pharmacology and substance abuse and physical dependence. Knowledge and attitudes regarding pain were classified as poor, fair, or good (≤50%, 50% - 75%, or ≥75% of the KASRP score). Multivariate Tobit regression models were applied to identify factors associated with the knowledge and attitudes regarding pain management. RESULTS: Of 154 participants completed the survey, 72.2% (111 participants) had poor knowledge and attitudes regarding pain management. The participants had a correct mean score of 45.2% (SD = 2.2). Nurses' knowledge of pain assessment was poor, with the proportion of correct answers to nine questions ranging from 2.6% to 50%. 44.8% of nurses reported never or rarely using pain assessment tools. Nurses who had previous training regarding pain at medical universities had significantly higher scores of knowledge and attitudes compared to those without training. Nurses who often use pain assessment tools had a significantly higher level of knowledge and attitudes than those who never or rarely use them. CONCLUSION: This study highlights significant deficits of knowledge and negative attitudes regarding pain management among nurses. The subject of pain management should be applied and enhanced in the nursing undergraduate curriculum. Nurses' active participation in pain management should be encouraged by healthcare providers for older patients.

Nanopore sequencing as a scalable, cost-effective platform for analyzing polyclonal vector integration sites following clinical T cell therapy.

BACKGROUND: Analysis of vector integration sites in gene-modified cells can provide critical information on clonality and potential biological impact on nearby genes. Current short-read next-generation sequencing methods require specialized instruments and large batch runs. METHODS: We used nanopore sequencing to analyze the vector integration sites of T cells transduced by the gammaretroviral vector, SFG.iCasp9.2A.ΔCD19. DNA from oligoclonal cell lines and polyclonal clinical samples were restriction enzyme digested with two 6-cutters, NcoI and BspHI; and the flanking genomic DNA amplified by inverse PCR or cassette ligation PCR. Following nested PCR and barcoding, the amplicons were sequenced on the Oxford Nanopore platform. Reads were filtered for quality, trimmed, and aligned. Custom tool was developed to cluster reads and merge overlapping clusters. RESULTS: Both inverse PCR and cassette ligation PCR could successfully amplify flanking genomic DNA, with cassette ligation PCR showing less bias. The 4.8 million raw reads were grouped into 12,186 clusters and 6410 clones. The 3'long terminal repeat (LTR)-genome junction could be resolved within a 5-nucleotide span for a majority of clusters and within one nucleotide span for clusters with ≥5 reads. The chromosomal distributions of the insertional sites and their predilection for regions proximate to transcription start sites were consistent with previous reports for gammaretroviral vector integrants as analyzed by short-read next-generation sequencing. CONCLUSION: Our study shows that it is feasible to use nanopore sequencing to map polyclonal vector integration sites. The assay is scalable and requires minimum capital, which together enable cost-effective and timely analysis. Further refinement is required to reduce amplification bias and improve single nucleotide resolution.