International Journal of Biotechnology and Biomedicine (IJBB)

The Effect of Different Numbers of Deliveries on Postpartum Post-Traumatic Stress Disorder in Women with High-Risk Pregnancies

Juan Zhu, Faridah Mohd Said, Chun Hoe Tan — Fri, 13 Dec 2024 00:00:00 +0000

Objective: To analyze the effects of different numbers of deliveries on postpartum post-traumatic stress disorder in high-risk pregnancies. Methods: High-risk pregnant women giving birth in one of the three tertiary hospitals in Jiangsu Province were selected from April 2024 to July 2024 by convenience sampling using a cross-sectional survey method. A general information questionnaire and post-traumatic stress disorder scale were used to investigate and analyze the effects of different numbers of deliveries on postpartum PTSD high-risk pregnancies. Results: The incidence of postpartum PTSD in high-risk pregnancies was 15.83%, and there was no correlation between the number of deliveries and postpartum stress disorder. The rate of postpartum PTSD was higher in multipara mothers than in prim gravid women, but the difference was not significant(P>0.05). Conclusion: There was no correlation between the number of deliveries and postpartum PTSD in high-risk pregnancies. As the number of deliveries increases, the risk of pregnancy increases. Hence, it is necessary to improve the management of pregnancy and labor, to improve the management of pregnancy and labor, to reduce complications, and to improve the outcome of pregnancy. It is also necessary to improve maternal mental health education, proactive counselling and intervention.

Review: Current Applications of Bioinformatics in Various Fields

Asita Elengoe, Qian Chenxi, Luo Dagui, Yuan Zhihao, Sun Zhixin — Fri, 13 Dec 2024 00:00:00 +0000

The study of information gathering, processing, and analysis techniques and technology in the biological sciences is known as bioinformatics. Its goal is to develop a number of computing technologies and procedures by analyzing, storing, and transmitting data derived from several scientific fields, including genetics, cell biology, and molecular biology. The advent of bioinformatics represents a significant turning point in the advancement of computer technology and life sciences. The emergence and advancement of bioinformatics have significantly influenced contemporary biology and medical research. The advancement of molecular medicine, gene therapy, medication discovery, crop improvement, microbiology, oncology, vaccine development, food microbiology, insect resistance, forensic analysis of microbes, waste clean-up and bioenergy and biofuels, has been substantially aided by its use in molecular biology, genetics, cell biology, and other study domains.

Factors Influencing the Development and Implementation of Radiology Technologist Specialist Role in Image Interpretation in Sudan

Awad Elkhadir, Mohammed Mahmoud Abuzaid, Rajab M. Ben Yousef — Fri, 13 Dec 2024 00:00:00 +0000

Introduction: This study investigates the factors influencing the development and implementation of radiology technologist specialists' role in image interpretation in Sudan, a role that has yet to be widely explored.

Methods: A cross-sectional study was conducted by recruiting ten radiology college deans in Sudan. Data were collected via an online questionnaire and analyzed using descriptive statistics.

Results: Half of the deans were doubtful about Sudan’s readiness to implement the role of radiology technologist specialists in image interpretation. The majority (60%) believed researchers had strongly pushed the issue over the past decade. The key factors affecting the implementation included education and training (100%), recognition (30%), technical issues (30%), people-related factors (20%), management changes (30%), government involvement (30%), costs (10%), and timings (20%).

Conclusion: The study highlights the need for a shift in image interpretation by radiographers in Sudan. Training and education are critical to this shift, along with systemic changes such as government involvement and improved recognition of the role. Future studies should focus on further assessing readiness and developing actionable strategies for implementation.

Application of Capability-Opportunity-Motivation-Behavior Model in the Study of Influencing Factors of Social Participation in Stroke

Xu Yirong, Nur Afiqah Mohamad, Faridah Mohd Said, Tan Beng Geok — Fri, 13 Dec 2024 00:00:00 +0000

Stroke is a leading cause of death and disability worldwide. It causes a range of complex physical, communication, cognitive, and emotional impairments that limit patients' ability to participate in social activities, severely impacting the quality of life of stroke survivors. Many studies have identified factors that influence social participation after stroke, including social environment, mental health, and functional factors (motor, cognitive, and language). Combined with the literature review on the influencing factors of social participation of stroke patients, a theoretical framework was proposed to guide the study, namely the COM-B theoretical model. The content of each element of the COM-B model was defined through a panel discussion. Based on the COM-B model and the theoretical framework, a hypothesis model of influencing factors of stroke social participation was proposed to form a conceptual framework. Its goal is to help us better understand the important factors that influence the social participation of patients after stroke, and to establish a theoretical basis for the successful reintegration of stroke survivors into daily life. As a result, this will provide strong evidence-based support for recovery, facilitate patient reintegration and contribute to overall recovery and improved quality of life for stroke survivors.

A review of Health Management for Stroke Survivors During the Rehabilitation Period

Bei Zhu, Mohamed Saifulaman Bin Mohamed Said, Tan Beng Geok — Fri, 13 Dec 2024 00:00:00 +0000

Background: Stroke is a prevalent acute cerebrovascular disorder, After the patient falls ill, it seriously affects their physical and mental health, bringing a heavy burden of care, rehabilitation, and finances to their families. Health management is a management model proposed to prevent and control the occurrence and development of diseases, which is considered an effective means to help stroke patients maintain their health to the maximum extent possible. This study aims to examine the current health management models employed during the rehabilitation period of stroke patients, identify shortcomings in these models, and propose strategies for optimizing the health management and maintenance of patients' health throughout the rehabilitation process. Methods: The relevant literature on health management models in the rehabilitation period of stroke was searched on Cochrane Library, PubMed, Embase, Scopus, Web of Science, CNKI, and WanFang Data systems, and the search time was up to May 2024. Extract and summarize the literature content. Results: For stroke rehabilitation patients, the health management model is in the exploratory stage, with limited content and single intervention methods. A systematic and multi-level health management model has not yet been formed. The health management model does not really connect hospitals, communities, families, and individuals effectively, and the advantages of medical resources and multidisciplinary teams in health management have not been truly reflected. Conclusion: The study shows that the existing health management model should be further improved, including the use of telemedicine technology, strengthening the guidance of hospitals to rehabilitation centers and communities. Government departments need to introduce corresponding policy guarantee mechanisms, give full play to the collaborative power of multidisciplinary teams in hospitals and communities, and improve the effectiveness of health management for stroke patients.