Introduction: Obesity significantly increases the risk of developing (or worsening) more than 200 chronic diseases, and it is also a risk factor for severe COVID-19. With the rising prevalence of obesity in the UK, there is a need to develop obesity care competencies that apply to healthcare professionals (HCPs) at all levels of the health service, to increase the capacity for contemporary, evidence-based treatment that is effective, compassionate, and avoids stigmatising patients.
Methods: A UK Obesity Care Competencies Working Group consisting of experts by profession and experts by experience was created to provide a framework of obesity care competencies for HCPs involved in specialist obesity care (tiers 2-4 in the UK). The framework was adapted from a set of competencies recently published by the USA-based Obesity Medicine Education Collaborative (OMEC) and was intended to be adaptable to nurses and allied health professionals, as well as physicians, owing to the multidisciplinary team approach used in healthcare in the UK.
Results: The UK Obesity Care Competencies Working Group developed a set of 29 competencies, divided into five focal areas, namely obesity knowledge, patient care and procedural skills, practice-based learning and improvement, professionalism and interpersonal communication skills, and systems-based practice. The working group recommends that the obesity care competencies are targeted at HCPs training as specialists. The competencies could be imported into existing training programmes to help standardise obesity-related medical education and could also be used to direct a new General Practitioner with Extended Role (GPwER) qualification.
Conclusion: This list of obesity care competencies aims to provide an initial framework to improve education for HCPs and therefore to improve patient care in obesity. The acceptance and integration of these competencies into the healthcare system should provide a stepping stone toward addressing trends in health inequality.
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http://dx.doi.org/10.1007/s12325-022-02108-2 | DOI Listing |
J Neurosurg Spine
January 2025
1Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; and.
Objective: Smartphones and wearable devices can be effective tools to objectively assess patient mobility and well-being before and after spine surgery. In this retrospective observational study, the authors investigated the relationship between these longitudinal perioperative patient activity data and socioeconomic and demographic correlates, assessing whether smartphone-captured metrics may allow neurosurgeons to distinguish intergroup patterns.
Methods: A multi-institutional retrospective study of patients who underwent spinal decompression with and without fusion between 2017 and 2021 was conducted.
PLoS One
January 2025
Instituto de Cardiologia do Rio Grande do Sul/Fundação Universitária de Cardiologia (IC/FUC), Serviço de Nutrição e Dietética, Porto Alegre, Rio Grande do Sul, Brazil.
Background: Obesity is a risk factor for cardiovascular diseases and associated with reduced life expectancy metabolic bariatric surgery (MBS) is the treatment indicated when patients are unable to lose weight through lifestyle changes and medication alone. However, more evidence is necessary to show non-inferiority of e-health compared to in-person monitoring with regard to important parameters for the success of surgical treatment of obesity such as anthropometric changes.
Methods And Analyses: This review study will include cohort studies involving individuals with obesity and e-health or in-person patient monitoring before and after MBS.
JMIR Mhealth Uhealth
January 2025
Xiangya School of Nursing, Central South University, Changsha, China.
Background: Among people with abdominal obesity, women are more likely to develop diabetes than men. Mobile health (mHealth)-based technologies provide the flexibility and resource-saving opportunities to improve lifestyles in an individualized way. However, mHealth-based diabetes prevention programs tailored for busy mothers with abdominal obesity have not been reported yet.
View Article and Find Full Text PDFMusculoskeletal Care
March 2025
Department of Clinical Sciences, Clinical Epidemiology Unit, Orthopaedics, Lund University, Lund, Sweden.
Purpose: To compare treatment utilisation for osteoarthritis (OA) and satisfaction with OA management between individuals with and without comorbid metabolic conditions (e.g., diabetes, obesity, dyslipidaemia, hypertension).
View Article and Find Full Text PDFESC Heart Fail
January 2025
Division of Research Methodology, Department of Nursing, Faculty of Nursing and Midwifery, Wroclaw Medical University, Wrocław, Poland.
Aims: This study aimed to identify factors associated with frailty in heart failure (HF) patients, focusing on demographic, biochemical and health-related variables. It also explored the correlation between frailty and comorbidities such as malnutrition, cognitive impairment and depression, assessing how these factors interact to influence frailty risk.
Methods: A total of 250 HF patients (mean age 73.
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