Search Results (1,244)

Background: Preterm birth is a major global health issue, associated with increased neonatal morbidity and mortality. Mothers of preterm infants face unique challenges, particularly with regard to lactation, due to the complexities of preterm neonatal care. Social support has been recognized as a factor in promoting successful breastfeeding, especially in vulnerable groups such as mothers of preterm infants. Objective: This study aimed to explore the psychosocial factors influencing breastfeeding in mothers following preterm birth, with a particular focus on the role of social support in early lactation success. Methods: A cross-sectional observational study was conducted between December 2022 and March 2023 at a tertiary referral hospital in Poland. The study included 130 women (71 mothers of preterm infants and 59 mothers of full-term infants) in the early postpartum period. Data were collected through a self-administered questionnaire and the Polish version of the Berlin Social Support Scales (BSSS). Lactation success was assessed based on the mother’s ability to initiate and maintain breastfeeding or expressed milk production. Statistical analyses included Mann–Whitney U tests, Pearson’s Chi-Square, and logistic regression to determine the association between social support and lactation outcomes. Results: The study revealed that mothers of preterm infants exhibited a greater need for social support compared with those who delivered at term. Social support, particularly perceived emotional and practical support, appeared to be significantly associated with successful early lactation. Women who received adequate social support were more likely to initiate breastfeeding early and maintain lactation. Conclusions: Psychosocial factors, particularly social support, play a critical role in the success of lactation among mothers of preterm infants. These findings underscore the need for comprehensive support systems for mothers of preterm infants to promote breastfeeding and improve neonatal health outcomes. Full article

Migrant adolescents face unique emotional and relational challenges that can hinder their well-being and development. While prior research has identified many of these challenges, there is limited work exploring migrant adolescents’ perspectives on their needs. This study aims to bridge that gap by adopting a participatory approach to investigate the emotional and relational needs of migrant adolescents in Spain and the solutions they propose to address them. Using Bronfenbrenner’s Ecological Systems Theory as the theoretical framework, we conducted qualitative participatory research with migrant adolescents. They identified their emotional and relational needs, which were categorised into six thematic areas distributed across the ecological levels. The themes include supporting their families, receiving recognition and emotional support from relatives, improving school and societal experiences, learning the host language, gaining empathy from the local population, and regularising their legal status. The key actors identified to help meet their needs include parents, teachers, peers, society, and policymakers. The participants proposed self-directed solutions to these challenges, such as fostering peer relationships and advocating for policy reforms. The findings suggest that migrant adolescents have valuable insights into their emotional and relational needs, emphasising the importance of involving them in shaping interventions that support their inclusion and mental health. Full article

Many injuries and deaths occur yearly in the United States due to preventable errors; however, documented harm is lower in hospitals with Magnet^® designation from the American Nurses Credentialing Center (Silver Spring, MD, USA). This manuscript illustrates insights from Magnet^® and non-Magnet^® nurses and nursing leaders regarding what impacts hospital system health, how those factors are communicated, and how hospital system health impacts patient safety. A qualitative descriptive approach was used with semi-structured interview questions. Within-methods data triangulation was applied to transcribed interviews using thematic analysis, application of the Goodwin statistic, and natural language processing (NLP). Thematic analysis revealed the four main themes of Healthy Systems, Unhealthy Systems, Patient Safety, and Nurse Well-Being. NLP revealed non-Magnet^® leaders and nurses scored highest for anxiety, anger, and sadness, in contrast to Magnet^® participants who had the highest levels of positive emotion. Key findings from the Magnet^® participants revealed that poaching employees and placing people in the wrong positions harm hospital system health and patient safety. The use of within-methods data triangulation illuminated the contextual depth of the participants’ speech, revealing the alarming emotional state that non-Magnet^® nurses and leaders are facing. Healthcare staff’s wellness must be prioritized to cultivate environments that provide safe care. Full article

Background/Objectives: This study investigated the experiences of inpatient family caregivers who experienced restrictions in meeting their family members owing to the changed visitation guidelines of long-term care hospitals during the early stages of the coronavirus disease 2019 (COVID-19). We aimed to deepen our understanding of the nature of these caregivers’ experiences. Methods: The participants were family caregivers of patients in long-term care hospitals during the early stages of the COVID-19 pandemic. We collected data from nine inpatient caregivers from April to July 2021. Individual interviews and data were analyzed using Colaizzi’s phenomenological method. Results: Participants’ experiences were classified into the following three themes: (1) a prison-like long-term care hospital bound by strict COVID-19 prevention rules; (2) growing affection for unreachable parents; and (3) adaptation to a new, safer daily life. Participants had difficulty communicating with their families living under quarantine conditions during COVID-19 due to non-face-to-face situations. However, amid the long-term COVID-19 situation, participants overcame these challenges through efforts to facilitate communication. Conclusions: The results of this study can be used as basic data to support the smooth communication between patients and caregivers in long-term care hospitals in the event of an infectious disease outbreak in the future, to alleviate emotional stress, and to minimize the weakening of families. Full article

Background: Adolescence is a period of significant psychological, physical, and social changes. During this time, adolescents face increasing responsibilities, such as making educational and career decisions, managing peer relationships, and becoming more independent from their families. These changes are often accompanied by mood fluctuations and altered sleep patterns. This study aimed to explore the relationships between bright- and dark-side hypomania, insomnia, and various dimensions of health-related quality of life (HRQOL), such as self-esteem, family and peer relationships, social acceptance, and autonomy. Methods: A total of 1475 participants in mid-adolescence (mean age: 13.4 years; range: 11–16 years; 48.8% males) completed a series of self-reported questionnaires covering sociodemographic information, hypomania, including dark and bright-side hypomania, insomnia, and HRQOL. Results: Compared to participants with no or dark-side hypomania, participants with bright-side hypomania reported better HRQOL. Bright-side hypomania was significantly associated with favorable relationships with parents and home, peer relationships, and the school environment and with less insomnia. In contrast, dark-side hypomania showed significant associations with lower scores for self-esteem, moods and emotional states, peer relationships, social acceptance, the school environment, and more insomnia. Conclusions: Among a larger sample of adolescents, bright- and dark-side hypomania were associated with a broad, though specific variety of aspects of HRQOL and insomnia. Given that standardized programs are available to improve insomnia and resilience as a proxy of psychological well-being, such interventions may have the potential to improve adolescents’ psychological well-being and sleep quality concomitantly. Full article

Background/Objectives: To understand the lived experiences of the informal caregivers of people with chronic noncommunicable diseases and their interpretations of the significance of that care. The perspectives of men and women interacting with people in a situation of chronicity are examined. Methods: This qualitative, phenomenological, hermeneutic study was based on Van Manen’s comprehensive and interpretative vision. Criterion-oriented non-probability random sampling was used. In-depth interviews were used to collect the information. Twenty informal caregivers participated in the study. Results: The following five themes emerged: transformation of the caregiver’s world; uncertainty of care; tireless guardianship and unwavering devotion; isolation and emotional exhaustion; and imbalance between caring for others and the self. Conclusions: The experience of informal caregivers reveals that both men and women face significant challenges, albeit from gender-differentiated perspectives and experiences. Men and women elaborate different meanings of caregiving, reflecting their gender roles and expectations. Therefore, an inclusive and equitable approach that recognizes and addresses these gender differences is essential in order to improve the support and quality of life for all informal caregivers, respecting and valuing their unique voices and experiences. An inclusive and equitable approach that recognizes gender intersections is required to improve support and the quality of life for informal caregivers. Full article

(1) Background: Residential care (RC) for children and youth should provide a holistic experience of growing up. Currently, RC homes face many challenges, highlighting the need for validated, innovative interventions. D’AR-TE is a pilot project aimed at creating an innovative intervention model for children and youth in RC, promoting protective factors through activities designed to enhance personal skills, socialization, and relationship building. The project spanned three years, focusing on two main areas: “Promoting the SELF” (including Sports, Art, and Virtual Reality) and “Promoting the US” (group activities with families and non-institutionalized peers). (2) Methods: To validate the D’AR-TE model, 46 children and youth in RC, aged between 6 and 20 years, were assessed. They were divided into an experimental group (26 participants) and a control group (20 participants). The evaluation, conducted at the beginning and end of the project, focused on cognitive and neuropsychological domains. (3) Results: By the end of D’AR-TE, the experimental group showed statistically significant improvements, including decreased aggression perception, increased social support, enhanced self-concept, and better cognitive and emotional performance. (4) Conclusions: These results suggest that D’AR-TE had a positive impact and could be a valid and replicable model for children and youth in RC. Full article

With the rapid growth of green construction projects (GCPs) in Saudi Arabia, managing the associated risks has become crucial to ensuring project success and sustainability. These projects face a range of challenges, including socio-economic, environmental, and technical risks that need to be carefully identified and prioritized. This study systematically identifies and prioritizes the risks in GCP using a hybrid model combining fuzzy TOPSIS and an Emotional Artificial Neural Network (EANN). The focus of this study is on the risk management of the green construction industry in Saudi Arabia. Based on expert evaluations, low-quality materials and equipment (Likert scale mean is 4.71) and stakeholder resistance to adopting green ideas (4.67) emerged as the most critical risks. The fuzzy TOPSIS analysis assigned the highest weight to risk probability (0.174), followed by outcome (0.137), and vulnerability (0.123). The EANN refined the risk rankings, confirming the importance of these risks. The findings suggest that risk management strategies should prioritize material quality and stakeholder engagement, while environmental risks, ranked lower, are less of a concern. This hybrid model provides a robust framework for effective risk management, with practical implications for enhancing the sustainability and success of GCP. Full article

Background/Objectives: This study explores the characteristics of the early mother–infant relationship in a sample of 30 mother–preterm infant dyads between 6 and 9 months, using a phenomenological observational tool called “Dance Steps”. This tool examines the configuration and reciprocity of mother–infant interactions. The study also investigates how sociodemographic factors and maternal functioning variables, such as postnatal depression and perceived social support, may serve as risk or protective factors in the development of these interaction “Steps”. Methods: Observations were conducted through video recordings of face-to-face caregiver–infant interactions during unstructured play sessions at neonatal follow-up visits. The data focused on identifying specific characteristics of reciprocity in the “dance steps”. Results: The results reveal certain features of reciprocity are stable over time, demonstrating synchronicity and attunement in many of the “dance steps”. Other “steps” evolve in response to the child’s developing competence. Sociodemographic factors, particularly the mother’s educational level and the infant’s sex, significantly influence the “Dance”. Postnatal depression negatively affected reciprocity in several steps, especially impacting the infant, whereas perceived social support had a lesser effect. Conclusions: The findings emphasize the importance of supporting mothers of preterm infants to adjust their interactions in ways that promote the child’s developmental competence. This support is essential for fostering physical and emotional closeness during critical developmental transitions. Full article

This study investigates the role of anthropomorphic design in alleviating consumer anxiety induced by mortality salience and delves into the underlying emotional and non-emotional mechanisms. Through a series of meticulously designed experiments, we confirm that anthropomorphic design significantly enhances positive emotional responses in consumers, reduces negative emotions, and thereby increases their preference and willingness to purchase products. Even after the diminution of emotional reactions, anthropomorphic design continues to sustain consumer preference by enhancing psychological intimacy. These findings reveal the crucial role of anthropomorphic design as an effective emotional regulation strategy in consumer purchasing behavior, enriching the application of terror management theory and emotion regulation theory in consumer behavior research. Furthermore, our study provides valuable practical guidance for product design and marketing strategies, especially for consumer groups frequently facing high-pressure situations. Products with anthropomorphic designs may be more appealing to these consumers, helping to mitigate their death anxiety and enhance psychological well-being. Full article

Background and Objectives: Compassion fatigue and burnout are two distinct forms of mental health distress faced by educational workers. Researchers have shown a high level of both phenomena across the field of education; however, a better understanding of what educational workers already do for positive mental and emotional health is needed. Methods: This research study examined three years of data, collected via survey, inquiring into the various interventions, namely supports and resources, that educational workers use to support positive mental health. Results: Quantitative data analysis via descriptive and inferential statistics revealed that educational workers relied heavily on their personal support network followed distantly by medical professionals and other interventions, revealing a gap that needs to be addressed by employers. Qualitative thematic analysis revealed a trend towards increased use of environmental interventions to promote positive mental wellbeing. Conclusions: The data analysis suggested areas of focus required to ensure workplace wellbeing, and that programs too focused on individual or self-directed interventions would not be well received by educators. Suggestions for other interventions that might be helpful for leaders and policy-makers are provided. Full article

In contemporary academic settings, end-of-semester student feedback on a lecturer’s teaching abilities often fails to provide a comprehensive, real-time evaluation of their proficiency, and becomes less relevant with each new cohort of students. To address these limitations, an innovative feedback method has been proposed, utilizing image processing algorithms to dynamically assess the emotional states of students during lectures by analyzing their facial expressions. This real-time approach enables lecturers to promptly adapt and enhance their teaching techniques. Recognizing and engaging with emotionally positive students has been shown to foster better learning outcomes, as their enthusiasm actively stimulates cognitive engagement and information analysis. The purpose of this work is to identify emotions based on facial expressions using a deep learning model based on a convolutional neural network (CNN), where facial recognition is performed using the Viola–Jones algorithm on a group of students in a learning environment. The algorithm encompasses four key steps: image acquisition, preprocessing, emotion detection, and emotion recognition. The technological advancement of this research lies in the proposal to implement photonic hardware and create an optical neural network which offers unparalleled speed and efficiency in data processing. This approach demonstrates significant advancements over traditional electronic systems in handling computational tasks. An experimental validation was conducted in a classroom with 45 students, demonstrating that the level of understanding in the class as predicted was 43–62.94%, and the proposed CNN algorithm (facial expressions detection) achieved an impressive 83% accuracy in understanding students’ emotional states. The correlation between the CNN deep learning model and the students’ feedback was 91.7%. This novel approach opens avenues for the real-time assessment of students’ engagement levels and the effectiveness of the learning environment, providing valuable insights for ongoing improvements in teaching practices. Full article

Background. Today, the public does not want to be just a passive consumer of health services. Patients often expect to be informed and involved in decisions about their health. With better doctor–patient communication, patients are more likely to follow treatment recommendations. Material and methods. The study was conducted using a face-to-face survey method on a group of 203 adult, independent patients from 2021 to 2022 at a medical facility, i.e., a rehabilitation clinic. Objective. The purpose of this study was to assess the determinants of doctor–patient communication in terms of patient rights. One of patients’ rights is the right to information about their health condition and treatment methods and the right to ask questions when the doctor does not provide details about the treatment or diagnosis or when it is not understandable. Doctors providing information to the patient and the opportunity for the patient to ask questions are key elements in the process of making informed decisions regarding further medical treatment. Therefore, patients were divided into two groups: active (+) and passive in communication (−) with doctors. Results. Patients who were active in communication (33%) wanted to ask questions or had the opportunity to ask the doctor questions, and thus, they were able to take an active part in the discussion with the doctor. In contrast, patients who were passive in communication (67%) did not want to ask questions or did not have the opportunity to ask the doctor questions, and therefore, their active participation in the discussion and thus their right to ask questions may have been limited. The authors’ survey shows that respondents with active communication were significantly more likely than patients with passive communication (almost 100% vs. 86%) to obtain information about their condition (p = 0.002), diagnostic methods (p = 0.003), therapeutic methods (p = 0.00007), treatment results, and prognosis (p = 0.0008). Moreover, almost all respondents with active communication as opposed to respondents with passive communication (95% vs. 52%) rated communication with doctors highest (on a scale from 0 to 5), including credible and professional approach to patients (p < 0.0001), providing information in clear and simple language (p < 0.0001), answering questions asked by patients (p < 0.0001), openness and kindness (p < 0.0001), maintaining professional confidentiality (p < 0.0001), or emotional support (p < 0.0001). Conclusions. Hence, the primary key element of the medical consultation is appropriate amount and content of information given to the patient, providing explanations and answering questions. Also importantly, according to the results, active communication between patients and doctors was significantly influenced by female gender, higher education, and a positive evaluation of communication with doctors. Full article

Understanding consumers’ emotional responses to wine is essential for improving marketing strategies and product development. Emotions play a pivotal role in shaping consumer preferences. This study investigates the emotional reactions elicited by different types of Douro wines (white, red, and Port) through facial expression analysis using FaceReader software, version 9.0 (Noldus Information Technology, Wageningen, The Netherlands). A total of 80 participants tasted six wine samples, and their facial expressions were recorded and analyzed. FaceReader quantified the intensity of emotions such as happiness, sadness, anger, surprise, fear, and disgust. Arousal levels were also assessed. The results were analyzed through principal component analysis (PCA) to identify patterns and groupings based on emotional responses. White wines evoked more sadness due to their acidity, while red wines were associated with lower levels of sadness and greater comfort. Port wines elicited surprise, probably due to their sweet and fortified nature. Additionally, female participants showed consistently higher arousal levels than males across all wine types. The study highlights distinct emotional profiles for each type of wine and suggests that demographic factors, such as gender, influence emotional responses. These insights can inform targeted marketing and enhance the consumer experience through better alignment of wine characteristics with emotional engagement. Full article

Micro-expressions are very brief, involuntary facial expressions that reveal hidden emotions, lasting less than a second, while macro-expressions are more prolonged facial expressions that align with a person’s conscious emotions, typically lasting several seconds. Micro-expressions are difficult to detect in lengthy videos because they have tiny amplitudes, short durations, and frequently coexist alongside macro-expressions. Nevertheless, micro- and macro-expression analysis has sparked interest in researchers. Existing methods use optical flow features to capture the temporal differences. However, these optical flow features are limited to two successive images only. To address this limitation, this paper proposes LGNMNet-RF, which integrates a Lite General Network with MagFace CNN and a Random Forest classifier to predict micro-expression intervals. Our approach leverages Motion History Images (MHI) to capture temporal patterns across multiple frames, offering a more comprehensive representation of facial dynamics than optical flow-based methods, which are restricted to two successive frames. The novelty of our approach lies in the combination of MHI with MagFace CNN, which improves the discriminative power of facial micro-expression detection, and the use of a Random Forest classifier to enhance interval prediction accuracy. The evaluation results show that this method outperforms baseline techniques, achieving micro-expression F1-scores of 0.3019 on CAS(ME)² and 0.3604 on SAMM-LV. The results of our experiment indicate that MHI offers a viable alternative to optical flow-based methods for micro-expression detection. Full article