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BACKGROUND: Residential weight-loss programs aim to help persons with obesity lose weight and maintain a long-term healthy lifestyle. Knowledge is needed on the different actors' perceptions and experiences from such programs. The aim of this study was to describe how personnel argued for and perceived a residential weight-loss program, to investigate how the participants experienced the program, and to contrast these perspectives. METHODS: This qualitative study took place in an 18-week residential weight-loss program. Exercise, diet, and personal development were the main components in the program. Data was collected through participant observation and individual and focus group interviews with participants and personnel. RESULTS: Program personnel characterized persons with obesity in specific terms, and these formed the basis of the educational aims, teaching principles, and content of the program. According to personnel, persons with obesity typically had problems acknowledging their own resources, lived unstructured lives, had a distorted relationship to food, experienced a range of social problems and featured a lack of personal insight. Program participants reported enthusiasm about their experiences of exercise and appreciated measures of success with the exercise program. They had, however, very different experiences regarding the usefulness and appropriateness of the parts of the program focused on social and personal development. Some felt that weight loss required an engagement with personal development while others viewed it as unnecessary and inappropriate. CONCLUSION: The reliance in personnel accounts on particular characteristics of persons with obesity as a rationale for the program might lead to stigmatizing and stereotyping. Program activities focused on social and personal development need to be better understood by participants if they are to be viewed as helpful. To achieve this personnel must carefully consider how these parts of the program are communicated and conducted.

AbstractIn this article, we draw on an institutional ethnographic (IE) study of cardiovascular disease prevention in general practice, exploring the work of healthcare professionals who introduce a discussion of risk and preventative medications into consultations with patients. Our aim is to explicate, using IE's theoretical ontology and analytical tools, how troubling patient experiences in this clinical context are coordinated institutionally. We focus our attention on the social organisation of healthcare professionals’ knowledge and front‐line practices, highlighting the textual processes through which they overrule patients’ concerns and uncertainties about taking preventative medication, such that some patients feel unable to openly discuss their health needs in preventative consultations. We show how healthcare professionals activate knowledge of ‘evidence‐based risk reduction’ to frame patients’ queries as ‘barriers’ to be overcome. Our analysis points not to deficiencies of healthcare professionals who lack the expertise or inclination to adequately ‘share decisions’ with patients, but to the ways in which their work is institutionally orientated towards performance measures which will demonstrate to local and national policymakers that they are tackling the ‘burden of (cardiovascular) disease’.

BACKGROUND: NHS Health Check (NHSHC) is a national programme to identify and manage cardiovascular disease (CVD) risk. Practitioners delivering the programme should be competent in discussing CVD risk, but there is evidence of limited understanding of the recommended 10-year percentage CVD risk scores. Lifetime CVD risk calculators might improve understanding and communication of risk. AIM: To explore practitioner understanding, perceptions, and experiences of CVD risk communication in NHSHCs when using two different CVD risk calculators. DESIGN & SETTING: Qualitative video-stimulated recall (VSR) study with NHSHC practitioners in the West Midlands. METHOD: VSR interviews were conducted with practitioners who delivered NHSHCs using either the QRISK2 10-year risk calculator (n = 7) or JBS3 lifetime CVD risk calculator (n = 8). Data were analysed using reflexive thematic analysis. RESULTS: In total, nine healthcare assistants (HCAs) and six general practice nurses (GPNs) were interviewed. There was limited understanding and confidence of 10-year risk, which was used to guide clinical decisions through determining low-, medium-, or high-risk thresholds, rather than as a risk communication tool. Potential benefits of some JBS3 functions were evident, particularly heart age, risk manipulation, and visual presentation of risk. CONCLUSION: There is a gap between the expectation and reality of practitioners' understanding, competencies, and training in CVD risk communication for NHSHCs. Practitioners would welcome heart age and risk manipulation functions of JBS3 to promote patient understanding of CVD risk, but there is a more fundamental need for practitioner training in CVD risk communication.

Though COVID-19 is no longer a pandemic but rather an endemic, the epidemiological situation related to the SARS-CoV-2 virus is developing at an alarming rate, impacting every corner of the world. The rapid escalation of the coronavirus has led to the scientific community engagement, continually seeking solutions to ensure the comfort and safety of society. Understanding the joint impact of medical and non-medical interventions on COVID-19 spread is essential for making public health decisions that control the pandemic. This paper introduces two novel hybrid machine-learning ensembles that combine supervised and unsupervised learning for COVID-19 data classification and regression. The study utilizes publicly available COVID-19 outbreak and potential predictive features in the USA dataset, which provides information related to the outbreak of COVID-19 disease in the US, including data from each of 3142 US counties from the beginning of the epidemic (January 2020) until June 2021. The developed hybrid hierarchical classifiers outperform single classification algorithms. The best-achieved performance metrics for the classification task were Accuracy = 0.912, ROC-AUC = 0.916, and F1-score = 0.916. The proposed hybrid hierarchical ensemble combining both supervised and unsupervised learning allows us to increase the accuracy of the regression task by 11% in terms of MSE, 29% in terms of the area under the ROC, and 43% in terms of the MPP metric. Thus, using the proposed approach, it is possible to predict the number of COVID-19 cases and deaths based on demographic, geographic, climatic, traffic, public health, social-distancing-policy adherence, and political characteristics with sufficiently high accuracy. The study reveals that virus pressure is the most important feature in COVID-19 spread for classification and regression analysis. Five other significant features were identified to have the most influence on COVID-19 spread. The combined ensembling approach introduced in this study can help policymakers design prevention and control measures to avoid or minimize public health threats in the future.

Post-acute sequelae of COVID-19 (PASC) or the continuation of COVID-19 (Coronavirus disease 2019) symptoms past 12 weeks may affect as many as 30% of people recovering from a SARS-CoV-2 (severe acute respiratory coronavirus 2) infection. The mechanisms regulating the development of PASC are currently not known; however, hypotheses include virus reservoirs, pre-existing conditions, microblood clots, immune dysregulation, as well as poor antibody responses. Importantly, virus neutralizing antibodies are essential for COVID-19 recovery and protection from reinfection but there is currently limited information on these immune regulators and associated cytokines in PASC patients. Understanding the key drivers of general and specific symptoms associated with Long COVID and the presence of virus neutralizing antibodies in PASC will aid in the development of therapeutics, diagnostics, and vaccines which currently do not exist. We designed a cross-sectional study to investigate systemic antibody and cytokine responses during COVID-19 recovery and PASC. In total, 195 participants were recruited in one of four groups: (1) Those who never had COVID-19 (No COVID); (2) Those in acute COVID-19 recovery (Acute Recovery) (4-12 weeks post infection); (3) Those who recovered from COVID-19 (Recovered) (+ 12 weeks from infection); and (4) those who had PASC (PASC) (+ 12 weeks from infection). Participants completed a questionnaire on health history, sex, gender, demographics, experiences with COVID-19 acute and COVID-19 recovery/continuing symptoms. Serum samples collected were evaluated for antibody binding to viral proteins, virus neutralizing antibody titers, and serum cytokine levels using Ella SimplePlex Immunoassay™ panels. We found participants with PASC reported more pre-existing conditions (e.g. such as hypertension, asthma, and obesity), and PASC symptoms (e.g. fatigue, brain fog, headaches, and shortness of breath) following COVID-19 than COVID-19 Recovered individuals. Importantly, we found PASC individuals to have significantly decreased levels of neutralizing antibodies toward both SARS-CoV-2 and the Omicron BA.1 variant. Sex analysis indicated that female PASC study participants had sustained antibody levels as well as levels of the inflammatory cytokines GM-CSF and ANG-2 over time following COVID-19. Our study reports people experiencing PASC had lower levels of virus neutralizing antibodies; however, the results are limited by the collection time post-COVID-19 and post-vaccination. Moreover, we found females experiencing PASC had sustained levels of GM-CSF and ANG-2. With lower levels of virus neutralizing antibodies, this data suggests that PASC individuals not only have had a suboptimal antibody response during acute SARS-CoV-2 infection but may also have increased susceptibility to subsequent infections which may exacerbate or prolong current PASC illnesses. We also provide evidence suggesting GM-CSF and ANG-2 to play a role in the sex-bias of PASC. Taken together, our findings maybe important for understanding immune molecular drivers of PASC and PASC subgroups.

Quantifying the potential spatial spread of an infectious pathogen is key to defining effective containment and control strategies. The aim of this study is to estimate the risk of SARS-CoV-2 transmission at different distances in Italy before the first regional lockdown was imposed, identifying important sources of national spreading. To do this, we leverage on a probabilistic model applied to daily symptomatic cases retrospectively ascertained in each Italian municipality with symptom onset between January 28 and March 7, 2020. Results are validated using a multi-patch dynamic transmission model reproducing the spatiotemporal distribution of identified cases. Our results show that the contribution of short-distance ( ≤ 10 k m ) transmission increased from less than 40% in the last week of January to more than 80% in the first week of March 2020. On March 7, 2020, that is the day before the first regional lockdown was imposed, more than 200 local transmission foci were contributing to the spread of SARS-CoV-2 in Italy. At the time, isolation measures imposed only on municipalities with at least ten ascertained cases would have left uncontrolled more than 75% of spillover transmission from the already affected municipalities. In early March, national-wide restrictions were required to curb short-distance transmission of SARS-CoV-2 in Italy.

Post-COVID condition (PCC) and multiple sclerosis (MS) share some clinical and demographic features, including cognitive symptoms and fatigue. Some pathophysiological mechanisms well-known in MS, such as autoimmunity, neuroinflammation and myelin damage, have also been implicated in PCC. In this study, we aimed to compare the cognitive phenotypes of two large cohorts of patients with PCC and MS, and to evaluate the relationship between fatigue and cognitive performance. Cross-sectional study including 218 patients with PCC and 218 with MS matched by age, sex, and years of education. Patients were evaluated with a comprehensive neuropsychological protocol and were categorized according to the International Classification of Cognitive Disorders system. Fatigue and depression were also assessed. Cognitive profiles of PCC and MS largely overlapped, with a greater impairment in episodic memory in MS, but with small effect sizes. The most salient deficits in both disorders were in attention and processing speed. The severity of fatigue was greater in patients with PCC. Still, the correlations between fatigue severity and neuropsychological tests were more prominent in the case of MS. There were no differences in the severity of depression among groups. Our study found similar cognitive profiles in PCC and MS. Fatigue was more severe in PCC, but was more associated with cognitive performance in MS. Further comparative studies addressing the mechanisms related to cognitive dysfunction and fatigue may be of interest to advance the knowledge of these disorders and develop new therapies.

BACKGROUND: Senior nursing students' perceptions of their professional preparedness help them for expectations of their future nursing role with more confidence, and professional identity may contribute to cultivating nursing students' perceptions of professional preparedness. In this study we applied latent profile analysis to identify the latent profiles of perceived professional preparedness among senior nursing students and to examine their identity and predictors. METHODS: This was a cross-sectional descriptive study. A total of 319 senior nursing students from five universities in China were enrolled. Data were collected using the Perceived Professional Preparedness of Senior Nursing Students' Questionnaire and the Professional Identity Scale for Nursing Students. RESULTS: Three latent profiles were identified and labeled as "low perceived professional preparedness" (n = 90, 28.2%), "low clinical competency-low EBP (Evidence-Based Practice)" (n = 190, 59.5%), and "high perceived professional preparedness" (n = 39, 12.2%). Place of residence, average clinical practicum hours per day, part-time experience, good relationships with classmates, and feeling nobility toward nursing due to COVID-19 significantly predicted profile membership. The average professional identity score was also statistically different across the three profiles (F = 54.69, p < 0.001). CONCLUSIONS: Senior nursing students' perceptions of their professional preparedness were divided into three profiles, and out results show that promoting professional identity may effectively foster their perceived professional preparedness. This study therefore highlights the importance of targeted interventions by considering their distinct perceptions of professional preparedness patterns.

OBJECTIVE: This study aimed to investigate the long-term effects of a psychological rehabilitation program that was effective on anxiety, depression, and quality of sleep in hospitalized COVID-19 patients. DESIGN: This is longitudinal study. 13 patients in the experimental group who received a psychological rehabilitation program during hospitalization and 16 patients in the control group who received conservative treatment completed the questionnaire 6 months after discharge. Questionnaires are the Zung Self-Rating Anxiety Scale (SAS), Zung Self-Rating Depression Scale (SDS), Patient Health Questionnaire-9 (PHQ-9), Visual Analysis Scale (VAS), and the Korean version of the Insomnia Severity Index (ISI-K). RESULTS: The VAS for depression significantly improved in the experimental group compared with control group at discharge (E = -2.40, p < 0.001) and follow-up (E = -3.36, p < 0.001). The SDS and PHQ-9 scores significantly improved at discharge (E = -4.05, p = 0.01 and E = -2.29, p = 0.01) but not at follow-up (E = -4.64, p = 0.12 and E = -1.81, p = 0.22). There are no significant interactions for VAS for anxiety (E = -0.27, p = 0.79), SAS scores (E = -1.48, p = 0.51), and insomnia (E = -0.69, p = 0.63) scores during the follow-up. CONCLUSIONS: Psychological rehabilitation showed a significant long-term reduction in depression, but not in anxiety. Therefore, continuous intervention and management of mental health are required after discharge.