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Search results for: WOMEN HEALTH
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Health impacts of indoor air pollution from household solid fuel on children and women
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The need for additional mental health support for women in the postpartum period in the times of epidemic crisis
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Validation of the Polish version of the EORTC QLQ-OV28 module for the assessment of health-related quality of life in women with ovarian cancer
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Endocrine disrupting compounds in the baby's world - A harmful environment to the health of babies
PublicationGlobally, there has been a significant increase in awareness of the adverse effects of chemicals with known or suspected endocrine-acting properties on human health. Human exposure to endocrine disrupting compounds (EDCs) mainly occurs by ingestion and to some extent by inhalation and dermal uptake. Although it is difficult to assess the full impact of human exposure to EDCs, it is well known that timing of exposure is of importance...
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Recent developments in biological sample testing methods for the confirmation of gestational exposure to tobacco smoke anddrugs of abused
PublicationSubstance use is most prevalent in reproductive-aged people also by women during pregnancy. In national prevalence surveys among women aged 15 to 44 years, 10.8 % of women reported using alcohol during pregnancy, 17 % reported smoking during pregnancy, and 4.4 % reported abusing any illicit substances during pregnancy. Virtually all illegal drugs, such as heroin and cocaine, pose dangers to a pregnant woman. Legal substances, such...
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Daily diet containing canned products significantly increases serum concentrations of endocrine disruptor bisphenol A in young women
PublicationNowadays, exposure to environmental factors is considered to be one of the possible causes of several lifestyle diseases, such as obesity, type 2 diabetes, cardiovascular disease, and cancer. Particularly noteworthy are endocrine‑disrupting chemicals (EDCs), which affect the metabolism of hormones and interact with their receptors, thus exerting adverse health effects. One of the most ubiquitous EDC in daily life is bisphenol A...
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Effects of Addictive Substances During Pregnancy and Infancy and Their Analysis in Biological Materials
PublicationThe use of addictive substances during pregnancy is a serious social problem, not only because of effects on the health of the woman and child, but also because drug or alcohol dependency it detracts from childcare and enhances the prospect of child neglect and family breakdown. Developing additive substance abuse treatment programs for pregnant women is socially important and can help ensure the health of babies, prevent subsequent...
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Application of ion chromatography with pulsed amperometric detection for the determination of trace cyanide in biological samples, including breast milk
PublicationCyanide (CN) is the biomarker of exposure to the components of tobacco smoke, although its presence in biological samples is also due to the consumption of products containing cyanogenic glycosides. In this work, we determine the concentration of the free cyanide in urine, saliva and breast milk matrices, using ion chromatography with pulsed amperometric detection (IC-PAD). IC-PAD is an emerging method, with only few documented...
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Prenatal exposure to substance of abuse: A worldwide problem
PublicationSubstance abuse during pregnancy is an important public health issue affecting the mother and the growing infant. Preterm labor, miscarriage, abruption and postpartum hemorrhage are obstetric complications which have been associated with women who are dependent on abused substances. Moreover, women are also at an increased risk of medical problems such as poor nutrition, anemia, urinary tract infections as well as sexually transmitted...
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A survey of automatic speech recognition deep models performance for Polish medical terms
PublicationAmong the numerous applications of speech-to-text technology is the support of documentation created by medical personnel. There are many available speech recognition systems for doctors. Their effectiveness in languages such as Polish should be verified. In connection with our project in this field, we decided to check how well the popular speech recognition systems work, employing models trained for the general Polish language....
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The importance of trust and altruistic social orientation for COVID-19 distress
PublicationBackground: The COVID-19 pandemic, the biggest global health crisis in decades, has been a difficult experience for nations all over the world. In the present study we wanted to assess to what extent a positive attitude towards others, expressed in altruistic social orientation and a high level of trust, would be linked to lower levels of COVID-19 distress in infected and non-infected individuals. Participants and procedure:...
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The role of purpose in life and social support in reducing the risk of workaholism among women in Poland
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The role of purpose in life and social support in reducing the risk of workaholism among women in Poland
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Evaluation of Caffeine Consumption among Pregnant Women from Southern Poland
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PSYCHOMETRIC PROPERTIES OF THE POLISH VERSION OF THE GENERALIZED ANXIETY DISORDER 7-ITEM SCALE (GAD-7) IN A NON-CLINICAL SAMPLE OF EMPLOYEES DURING PANDEMIC CRISIS
PublicationObjectives: The COVID-19 outbreak is an example of a crisis that triggered an increase in generalized anxiety disorder. The study aims to validate the Polish version of the Generalized Anxiety Disorder 7-item scale (GAD-7) by Spitzer et al. among a non-clinical sample of employees and examine the invariance depending on the gender and age of working adults. Material and Methods: For assessing factor structure of the Polish version...
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Effect of grip width on exercise volume in bench press with a controlled movement tempo in women
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Do Body Composition and Values of Selected Nutritional Status Indices Influence the Glycaemic Index Values of Vegetarian Dishes? A Pilot Study in a Group of Older Women
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Building Confidence and Trust in Ireland's National Maternity Services Workforce –What matters most and how?
PublicationNational surveys on care experiences are increasingly adopted as regulatory mechanisms for improving care quality and increasing public trust in healthcare services. Based on data collected as part of Ireland's 2020 National Maternity Experience Survey, this study investigates care-related factors that contribute most to confidence and trust in the professional workforce (or carers) within Irish maternity services. The survey covered...
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Teams tools. Leading high-performance teams with different types of intelligence
PublicationThe subject of this paper is the analysis of necessary tools for global teams, image of the team leader, styles of leadership in global teams. The analysis is based on selected examples from high-performance teams with visible results. The purpose of the work is to answer for the following questions: What are the characteristics of the leading global teams? Which style of leadership use the global teams? Is a female leader different...
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MECONIUM SAMPLES USED TO ASSESS INFANT EXPOSURE TO THE COMPONENTS OF ETS DURING PREGNANCY
PublicationThe aim of the study was to use meconium samples to assess fetal exposure to compounds present in environmental tobacco smoke (ETS). Material and Methods: In order to assess fetal exposure to toxic tobacco smoke compounds, samples of meconium from the offspring of women with different levels of tobacco smoke exposure, and the samples of saliva from the mothers were analyzed. Thiocyanate ion as a biomarker of tobacco smoke exposure,...
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Generating actionable evidence from free-text feedback to improve maternity and acute hospital experiences: A computational text analytics & predictive modelling approach
PublicationBackground Patient experience surveys are a key source of evidence for supporting decision-making and quality improvement in healthcare services. These surveys contain two main types of questions: closed and open-ended, asking about patients’ care experiences. Apart from the knowledge obtained from analysing closed-ended questions, invaluable insights can be gleaned from free-text data. Advanced analytics techniques are increasingly...
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Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data
PublicationThis paper describes a research study that investigates the use of machine learning algorithms on synthetic data to classify the risk of developing preeclampsia by pregnant women. Synthetic datasets were generated based on parameter distributions from three real patient studies. Four models were compared: XGBoost, Support Vector Machine (SVM), Random Forest, and Explainable Boosting Machines (EBM). The study found that the XGBoost...