We investigated population and social structure of the franciscana dolphin, Pontoporia blainvillei, an endemic and the most endangered cetacean of the southwestern Atlantic Ocean. We analyzed samples from the Rio de la Plata estuary obtained in Uruguayan waters and from the Atlantic Ocean obtained in both Uruguayan and Brazilian waters. Mitochondrial and microsatellite DNA markers were used to study differentiation between the estuary and the ocean and the association between kinship and social group structure. Although multilocus analyses suggested that franciscanas are structured into 2 subpopulations (K = 2, divergence among clusters: F(ST) = 0.06, P = 0.002; R(ST) = 0.3, P = 0.001), mitochondrial markers did not support such divergence (F(ST) = 0.02, P = 0.12; Ф(ST) = 0.06, P =0.06). However, these units are not entirely segregated geographically. Regarding social structure, some groups are composed by first-order related individuals (R ≥ 0.5, P < 0.5). Overall, the data suggest that matrilines could be the social unit in this species. We argue that the divergence found could be associated to local adaptation and social structure, resulting from either feature leading to a recent divergence or reflecting equilibrium between local differentiation and gene flow. This evidence supports considering franciscanas from the Rio de la Plata estuary a discrete management unit.
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http://dx.doi.org/10.1093/jhered/esr103 | DOI Listing |
BMC Psychol
January 2025
Department of Research and Development, War Child Alliance, Amsterdam, The Netherlands.
Background: There is a paucity of brief self-report parenting measures validated for use in low- and middle-income countries (LMICs). We developed the Brief Parenting Questionnaire (BPQ), a 24-item self-report measure for use with parents of children ages 3-12.
Objective: We describe the development and evaluation of the psychometric properties of the BPQ, which was designed to include two subscales: warm and responsive parenting (WRP) and harsh parenting (HP).
BMC Health Serv Res
January 2025
Institute of Higher Education and Research in Healthcare, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland.
Background: Older patients hospitalized in acute care settings are at significant risk of presenting hospital-acquired conditions. Healthcare professionals should consider many factors involved in the development of such conditions, including factors related to the patients, as well as those related to the processes of care and the structure of hospitals. The aim of this study was to describe and identify the factors involved in the development of hospital-acquired conditions in older patients in acute care settings.
View Article and Find Full Text PDFBMJ Open
January 2025
Cardiac Rehabilitation, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.
Background: This qualitative evaluation was embedded in the Rehabilitation Exercise and psycholoGical support After COVID-19 InfectioN (REGAIN) study, a randomised controlled trial (RCT) for those with post-COVID-19 condition ('long COVID') after hospital admission for COVID-19, comparing weekly home-based, live online supervised group exercise and psychological support sessions with 'best practice usual care' (a single session of advice).
Objective: To increase our understanding of how and why the REGAIN programme might have worked and what helped or hindered this intervention.
Design: A qualitative evaluation which utilised interviews with participants and practitioners delivering the intervention.
BMC Psychol
January 2025
Department of Nutrition and Dietetics, Faculty of Health Science, Istanbul Beykent University, Istanbul, Turkey.
Background: This study aimed to adapt the Psychological Food Involvement Scale (PFIS) to Turkish culture and test its validity and reliability. The PFIS measures individuals' psychological, emotional, and social relationships with food, which significantly impact eating behaviors and health.
Methods: The study was conducted with 478 participants aged 18-65.
BMC Med Educ
January 2025
Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Background: Although artificial intelligence (AI) has gained increasing attention for its potential future impact on clinical practice, medical education has struggled to stay ahead of the developing technology. The question of whether medical education is fully preparing trainees to adapt to potential changes from AI technology in clinical practice remains unanswered, and the influence of AI on medical students' career preferences remains unclear. Understanding the gap between students' interest in and knowledge of AI may help inform the medical curriculum structure.
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