Piecing together the narrative of #longcovid: an unsupervised deep learning of 1,354,889 X (formerly Twitter) posts from 2020 to 2023.

Objective: To characterize the public conversations around long COVID, as expressed through X (formerly Twitter) posts from May 2020 to April 2023.

Methods: Using X as the data source, we extracted tweets containing #long-covid, #long_covid, or "long covid," posted from May 2020 to April 2023. We then conducted an unsupervised deep learning analysis using Bidirectional Encoder Representations from Transformers (BERT).

A recipe for health: A descriptive qualitative study examining paternal influence and the establishment of children's healthy eating habits in Singapore.

This study aimed to explore Singaporean fathers' perceived influence over their children's eating habits. A descriptive qualitative study design was used. Convenience sampling was used to recruit fathers of children aged 3-21 years old from a general paediatric outpatient clinic in a tertiary public hospital.

Barriers to Healthcare Access for Indigenous Communities: Insights from Healthcare Professionals.

Background: The indigenous people or 'Orang Asli' (OA) in Malaysia is a vulnerable group who lags behind in terms of socioeconomic, education and health. Despite numerous developments, health disparities still exist among the OA, resulting in varying health outcomes. This study aimed to identify barriers to providing healthcare to OA by healthcare professionals (HCPs) in Malaysia.

Healthcare utilisation patterns and contributory factors among middle-aged adults: a scoping review.

Background: Middle-aged adults, defined as individuals between the ages of 45 and 64, represent a significant yet under researched group of healthcare service users. This scoping review aimed to provide a comprehensive overview of the patterns of healthcare utilisation and the factors contributing to them within this demographic.

Methods: Following PRISMA-ScR guidelines and the framework proposed by Arksey and O'Malley, a systematic literature search was conducted across PubMed, EMBASE, and the Cochrane Library databases from their inception until July 2023.

Examining the Association Between Overweight, Obesity, and Irritable Bowel Syndrome: A Systematic Review and Meta-Analysis.

Background: Irritable bowel syndrome (IBS) is a common yet debilitating disorder of gut-brain interaction, characterized by gut-brain axis dysregulation, visceral hypersensitivity, and other comorbidities. Obesity has been hypothesized to be a risk factor linked to IBS, albeit evidence remains conflicting. Given the growing global prevalence of obesity and IBS, we performed a meta-analysis examining their purported association.