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34 articles for “Pregnancy”
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Impact of Education on Knowledge and Perception of Antenatal Care Among Primigravida Mothers, Residing in Farasan, Kingdom of Saudi Arabia: A Community-based Interventional Study
Abstract: Pregnancy is one of the most cherished phases in the life of a woman. This timeframe holds immense importance for both the mother and the infant. Offering appropriate prenatal care during pregnancy is crucial for the health of the mother and the growth of the foetus. It provides a chance to promote sound parenting techniques and healthful conduct. The quality of prenatal care contributes to sustaining overall well-being throughout an …
Published in International Journal of Women's Health Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 6–13 Read article
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Psychotherapeutic Approaches for Enhancing Perinatal Mental Health
Abstract: Pregnancy is a life turning event in a woman's life. Many women during pregnancy and after the birth of the child face mental health issues like anxiety, depression, and stress due to varied reasons. If not addressed properly, these can affect the mother-child bond, the lady's relationship with the entire family, and the child's cognitive and emotional development. As per WHO, “Globally about 10% of pregnant women and 13% of …
Published in International Journal of Behavioral Sciences · Vol. 1, Issue 2, 2024 · pp. 26–38 Read article
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A Study to Evaluate the Effectiveness of a Computer-assisted Teaching Program on Knowledge About the Distribution and Use of Iron and Folic Acid Tablets During the Antenatal Period Among Primigravida Mothers in Selected Villages of Holenarasipura Taluk, Karnataka
Abstract: Pregnancy is a critical period in a mother’s life, and proper knowledge about managing pregnancy is essential for maternal and fetal health. This study aimed to evaluate the effectiveness of a computer-assisted teaching program in improving knowledge about the distribution and use of iron and folic acid tablets among primigravida mothers in selected villages of Holenarasipura taluk. A one-group pre-test and post-test pre-experimental design was employed, using non-probability convenience sampling …
Published in International Journal of Midwifery Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 28–40 Read article
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Advanced Miasmatic Approach in Ante Natal Care - Multi Faceted Homoepathy
Abstract: Homeopathy and pregnancy care? Looks challenging? The structural deformities investigation in modern medicine is an unforeseen combination of a physical, mental breakdown of pregnant lady, resulting an immediate call for effective therapy of the lady and family. The female-being the pivot, her health in pregnancy marks great responsibility for an Altruistic homeopath. The advanced miasmatic lens in antenatal care magnifies the role of multifaceted homeopathy. Such type of synergistic efforts …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 29–37 Read article
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To Assess the Knowledge and Practices Regarding Postnatal Assessment of Women Among Nurses Working in Gynaecology Units of Selected Hospitals of District Ludhiana, Punjab: A Descriptive Study
Abstract: This study was done to evaluate nurses' postnatal assessment of women's knowledge and practices. Postnatal assessment is a vital part of postnatal care in the fourth stage of labor for the women as it confirms the mother’s recovery from the effects of pregnancy, labor, and delivery. It provides an opportunity for the nurses to prevent many life-threatening complications and promote health status during this period. A descriptive research design was …
Published in International Journal of Midwifery Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 17–24 Read article
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Understanding the Level of Knowledge and Attitudes of Pregnant Women on Use of Complementary and Alternative Medicine (CAM)
Abstract: Background: The utilization of complementary and alternative medicine (CAM) among pregnant women in India is on the rise. Though the pregnant women are using these therapies, they lack adequate knowledge. It is the responsibility of the health care provider to identify the knowledge to promote healthy practices and to avoid harmful practices. Method: For this investigation, a quantitative method was used. The level of knowledge and attitude of pregnant women …
Published in International Journal of Midwifery Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 25–30 Read article
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A Study to Assess the Prevalence of Self-medication and Its Associated Factors Among Pregnant Women in Selected Tertiary Care Teaching Hospital at Kuppam, Chittoor District, Andhra Pradesh
Abstract: Self-medication, the practice of using medications without a doctor's prescription, is a growing global public health issue, particularly in resource-limited settings. In pregnancy, self-medication can pose serious risks, including misdiagnosis, incorrect dosages, drug interactions, and prolonged use. This study aimed to assess the prevalence of self-medication, and the factors associated with it among pregnant women at a tertiary care teaching hospital in Kuppam, Chittoor district, Andhra Pradesh. A descriptive cross-sectional …
Published in International Journal of Midwifery Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 41–48 Read article
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Effectiveness of A structured teaching program on Leucorrhoea and it's management for women of Reproductive age group at selected college in Honavar
Abstract: Leucorrhea, also known as leucorrhea, is a white, yellow, or green discharge from a woman's vagina, which may be normal or asign of an infection. Leucorrhea is common during pregnancy and is typically normal if the discharge is thin, white, and odorless.Physiological leucorrhea is a condition that occurs in young women several months to a year after the onset of menstruation. It sometimes occurs in newborn girls and usually lasts …
Published in International Journal of Women's Health Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 40–44 Read article
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Rapid Post-uterine Involution in Dairy Cows: Mechanisms, Dietary Strategies, and Impact on Postpartum Recovery
Abstract: The postpartum period in dairy cows is critical for reproductive success, with uterine involution playing a central role in returning the reproductive tract to its pre-pregnancy state. Rapid uterine involution is essential for improving reproductive performance and minimizing the risk of postpartum complications. This review explores the nutritional mechanisms that influence uterine involution, focusing on key dietary strategies to promote tissue repair and recovery. We examine the role of energy, …
Published in Emerging Trends in Metabolites · Vol. 2, Issue 2, 2025 Read article
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Climate-Induced Infertility in Dairy Cows: Pathways, Challenges, and Solutions for Sustainable Dairy Development
Abstract: Climate change has emerged as a significant challenge to dairy production, with profound implications for reproductive performance in dairy cows. The interplay of rising temperatures, fluctuating rainfall patterns, and increased frequency of extreme weather events disrupts key physiological, nutritional, and behavioral processes essential for fertility. Heat stress alters hormonal balance, impairs oocyte and embryo quality, reduces estrus expression, and affects pregnancy outcomes. Concurrently, climate-induced nutritional deficits, immune suppression, and increased …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 Read article
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A Systematic Review on The Role of Artificial Intelligence in Assisted Reproductive Technology
Abstract: Artificial Intelligence (AI) has significantly transformed Assisted Reproductive Technology (ART) over the past five years, enhancing diagnostic accuracy, treatment personalization, and overall success rates. AI-driven algorithms and machine learning models have been integrated into various aspects of ART, including sperm selection, embryo grading, and predicting implantation success. Deep learning techniques have improved image-based embryo assessment, reduced human subjectivity and increased efficiency. Additionally, AI-powered predictive analytics have helped optimize ovarian stimulation …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 Read article
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Paternal Pre-Pubertal Smoking: Small RNAs, Lasting Marks, and the Hidden Legacy of Early Exposure
Abstract: While the negative effects of maternal smoking during pregnancy are well-established, the lasting and transgenerational impact of paternal pre-pubertal smoking remains a critical, underexplored area. Emerging evidence in sperm epigenetics suggests that cigarette exposure during early male development may create persistent molecular imprints that can affect the health of future offspring. This phenomenon is rooted in the fact that heredity extends beyond the DNA sequence. Sperm carry a complex epigenetic …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 1–5 Read article
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A Systematic Review on Factors Contributing to Infertility
Abstract: Infertility is a multifactorial reproductive health condition affecting approximately 10–15% of couples worldwide and continues to represent a major clinical and social challenge. Despite substantial advances in assisted reproductive technologies, diagnostic methods, and therapeutic interventions, many couples still face difficulties in achieving pregnancy. The impact of infertility extends beyond physical health, often leading to emotional distress, social pressure, and financial burdens, especially in societies where parenthood is highly valued. Consequently, …
Published in International Journal of Tropical Medicines · Vol. 3, Issue 1, 2026 · pp. 31–35 Read article
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Diabetes Risk Prediction from Survey Data Using Machine Learning Algorithms
Abstract: Diabetes mellitus represents one of the most significant global health challenges, affecting millions worldwide and leading to severe complications if left undiagnosed or poorly managed. Early detection and risk assessment are crucial for preventing the progression of this chronic condition. This research presents a comprehensive machine learning approach for predicting diabetes risk using survey-based health parameters. The study implements and compares four prominent classification algorithms: Logistic Regression, K-Nearest Neighbors (KNN), …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article