A patients' hospital meal experiences can be complex and often difficult to capture using traditional methods. This study investigated patients' hospital meal experiences using participant-driven-photo-elicitation (PDPE). PDPE invites respondents to photograph their daily lives and combines this with interviews, which can provide deeper insight into multisensory experiences beyond verbal or written discourse. The sample consisted of eight hospitalised patients. Patients completed a photo-essay of their hospital meal experience during a single day at a Danish hospital and afterwards participated in an open-ended interview. Two inductive analytical approaches were selected to assess the patients' reflections on their hospital meal experiences. First, the interview transcripts were analysed using the Semiotic Analysis approach using qualitative data analysis software NVivo 9. Second, the 91 produced photographs and the participants' engagement with the photographs were analysed by means of a Reflexive Content Analysis. The study found that PDPE is a research method that can be used for expanding the conceptualisation of hospital meal experiences, revealing the significance of the meal context, materiality and memories beyond food per se.
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http://dx.doi.org/10.1016/j.appet.2013.12.012 | DOI Listing |
J Clin Endocrinol Metab
January 2025
Department of Kinesiology and Health, Rutgers University, New Brunswick, NJ 08901, USA.
Context: Physical activity, exercise, or both are a staple of lifestyle management approaches both for type 1 diabetes mellitus (T1DM) and type 2 diabetes (T2DM). While the current literature supports both physical activity and exercise for improving glycemic control, reducing cardiovascular risk, maintaining proper weight, and enhancing overall well-being, the optimal prescription regimen remains debated.
Evidence Acquisition: We searched PubMed and Google Scholar databases for relevant studies on exercise, insulin sensitivity, and glycemic control in people with T1DM and T2DM.
Neurogastroenterol Motil
January 2025
Department of Nuclear Medicine, Radiotherapy & Oncology, School of Medical Sciences, Universiti Sains Malaysia Health Campus, Kota Bharu, Kelantan, Malaysia.
Background: Gastric accommodation (GA) testing is gaining clinical recognition as novel and minimally invasive modalities emerge. We investigated the feasibility of hybrid nuclear imaging volumetry (SPECT/CT) and combined high-resolution manometry-nutrient drink test (HRM-NDT) to assess GA.
Methods: In this non-randomized pilot study, [Tc]NaTcO gastric SPECT/CT (250 mL protocol) and proximal gastric HRM-NDT (~60 mL/min protocol) were performed separately within 30 days using Ensure Gold test meal (1.
Front Cell Infect Microbiol
January 2025
Mkelly Biotech Pvt Ltd., Mohali, Punjab, India.
Background: The rise of antibiotic-resistant pathogens has intensified the search for novel antimicrobial agents. This study aimed to isolate from local soil samples and evaluate its antimicrobial properties, along with optimizing the production of bioactive compounds.
Methods: Soil samples were collected from local regions, processed, and analysed for Streptomyces strains isolation using morphological characteristics and molecular identification through 16S rRNA gene PCR assay.
Cureus
December 2024
Medicine, Basic Health Unit 155/wb, Vehari, PAK.
Background: Celiac disease is a chronic autoimmune condition requiring lifelong adherence to a gluten-free diet, particularly in children, to prevent nutritional deficiencies and developmental delays.
Objective: The objective of study was to evaluate the effects of early nutritional intervention on the management and health outcomes of children diagnosed with celiac disease.
Methodology: A prospective, longitudinal cohort study was conducted over two years (July 2019-July 2021).
BMC Med Inform Decis Mak
January 2025
Department of Information Engineering (DEI), University of Padova, Via G. Gradenigo 6/B, Padua, 35131, Italy.
Background: Post bariatric hypoglycaemic (PBH) is a late complication of weight loss surgery, characterised by critically low blood glucose levels following meal-induced glycaemic excursions. The disabling consequences of PBH underline the need for the development of a decision support system (DSS) that can warn individuals about upcoming PBH events, thus enabling preventive actions to avoid impending episodes. In view of this, we developed various algorithms based on linear and deep learning models to forecast PBH episodes in the short-term.
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