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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., Methods: Embase, MEDLINE, and the Cochrane Library were searched to identify studies reporting the prevalence and odds ratios (ORs) of IBS according to BMI categories. Random effects meta-analyses were used for the primary analysis., Results: From 1713 articles, 27 studies were included. Our findings showed that using study-defined categories for overweight, obese, and normal BMI, the odds of the diagnosis of IBS were not associated with overweight (OR 1.02; 95% CI 0.89 to 1.17; p = 0.772) or obese BMI (OR 1.11; 95% CI 0.91 to 1.37; p = 0.309). The meta-analysis of study-reported adjusted odds ratios of IBS among individuals living with overweight or obesity also did not yield significant results. Further sensitivity analysis by the Rome criteria demonstrated a statistically significant association between obese BMI and IBS in studies using the Rome IV criteria (OR 1.59; 95% CI 1.13 to 2.23; p < 0.01), with significant subgroup difference between studies using the Rome II, Rome III, and Rome IV criteria. Further sensitivity analysis using the different cut-off values and subgroup analysis by geographical territory did not yield significant associations., Conclusions: In summary, excess body weight may not be a primary driver of IBS risk. Future research should focus on longitudinal studies that account for changes in weight and other lifestyle factors, as well as detailed mechanistic investigations.

Importance: During COVID-19, Singapore simultaneously experienced a dengue outbreak, and acute hospitals were under pressure to lower bed occupancy rates. This led to new models of care to treat patients with acute, low-severity medical conditions either at home, in a hospital-at-home (HaH) model, or in a clinic-style setting sited at the emergency department in an ambulatory care team (ACT) model, but a reliable cost analysis for these models is lacking., Objective: To compare personnel costs of HaH and ACT with inpatient care., Design, Setting, and Participants: In this economic evaluation study, time-driven activity-based costing was used to compare the personnel cost of inpatient care with treating dengue via HaH and treating chest pain via ACT. Participants were patients with nonsevere dengue and chest pain unrelated to a coronary event admitted via the emergency department to the internal medicine service of a tertiary hospital in Singapore., Exposures: HaH for dengue and ACT for chest pain., Main Outcomes and Measures: A process map was created for the patient journey for a typical patient with each condition. The amount of time personnel spent on delivering care was estimated and the cost per minute determined based on their wages in 2022. The total cost of care was calculated by multiplying the time spent by the per-minute cost of the personnel resource and summing all costs., Results: Compared with inpatient care, HaH used 50% less nursing time (418 minutes, 95% uncertainty interval [UI], 370 to 465 minutes) but 80% more medical time (303 minutes, 95% UI, 270 to 338 minutes) per case of dengue. If implemented nationally, HaH would save an estimated 56 828 SGD per year (95% UI, -169 497 to 281 412 SGD [US $41 856; 95% UI, -$124 839 to $207 268]). The probability that HaH is cost saving was 69.2%. Compared with inpatient care, ACT used 15% less nursing time (296 minutes, 95% UI, 257 to 335 minutes) and 50% less medical time (57 minutes, 95% UI, 46 to 69 minutes) per case of chest pain. If implemented nationally, ACT would save an estimated 1 561 185 SGD per year (95% UI, 1 040 666 to 2 086 518 SGD [US $1 149 862; 95% UI, $766 483 to $1 536 786]). The probability that ACT is cost saving was 100%., Conclusions and Relevance: This economic evaluation found that the HaH and ACT models decreased the overall personnel cost of care. Reorganizing hospital resources may help hospitals reap the benefits of reduced hospital-acquired infections, improved patient recovery, and reduced hospital bed occupancy rates.

Objectives: This study aims to report the prevalence of cardiovascular risk factors (CVRFs) and other non-communicable diseases among migrant workers in Singapore admitted for COVID-19 infection, to highlight disease burden and the need for changes in health screening and healthcare delivery in this unique population., Setting: The study was conducted in the largest tertiary hospital in Singapore., Design: Retrospective cross-sectional study., Participants: 883 migrant workers who had mild or asymptomatic COVID-19 infection admitted to three isolation wards between 6 April 2020 and 31 May 2020 were included in this study., Outcome Measures: The outcome measures were the prevalence of pre-existing and newly diagnosed comorbid conditions and the prevalence of CVRFs-diabetes mellitus, hypertension and hyperlipidaemia-and non-communicable diseases at the time of discharge. The OR of having specific CVRFs depending on country of origin was generated via multivariate logistic regression analysis., Results: The median age of our study population was 45 years. 17.0% had pre-existing conditions and 25.9% received new diagnoses. Of the new diagnoses, 15.7% were acute medical conditions and 84.3% chronic medical conditions. The prevalence of CVRFs was higher in Southeast Asian and South Asian migrant workers compared with Chinese. The prevalence of non-communicable diseases on discharge was highest among Southeast Asians (49.4%)., Conclusions: The COVID-19 outbreak in a large number of migrant workers in Singapore unmasked a significant disease burden among them, increasing stakeholders' interests in their welfare. Moving forward, system-level changes are necessary to deliver healthcare sustainably and effect improvements in migrant workers' health., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)