Environmental damage affects many aspects of healthcare, from extreme weather events to evolving population disease. Singapore's healthcare sector has the world's second highest healthcare emissions per capita, hampering the nation's pledge to reduce emissions by 2030 and achieve net zero emissions by 2050. In this review, we provide an overview of the impact environmental damage has on healthcare, including facilities, supply chain and human health, and examine measures to address healthcare's impact on the environment. Utilising the 'R's of sustainability - rethinking, reducing/refusing, reusing/repurposing/reprocessing, repairing, recycling and research - we have summarised the opportunities and challenges across medical disciplines. Awareness and advocacy to adopt strategies at institutional and individual levels is needed to revolutionise our environmental footprint and improve healthcare sustainability. By leveraging evidence from ongoing trials and integrating sustainable practices, our healthcare system can remain resilient against environment-driven challenges and evolving healthcare demands while minimising further impacts of environmental destruction.
Humans ; Climate Change ; Delivery of Health Care ; Singapore ; Conservation of Natural Resources ; Sustainable Development ; Environment

Introduction: The dietary intake of adults in Brunei Darussalam has not been thoroughly investigated via the food frequency questionnaire (FFQ). This study aimed to establish, validate and test the reproducibility of an FFQ to determine and evaluate the adult dietary intake in Brunei Darussalam. Methods: Participants were divided into; (1) development phase (50 adults); (2) validation phase (100 adults); (3) reproducibility phase (subsample of 40 adults). 3-day dietary record (3DR) was used in development phase to gather food items consumed. 2-day dietary record(2DR) was used as a reference method in validation. Nutrients analyze were energy, macronutrients, calcium, and vitamins A and C. Validation analysis were spearman correlation, mean difference, Bland-Altman plot, cohen’s kappa and cross-classification analyses. Reliability analyses were intra-class correlation coefficient (ICC), Cronbach’s alpha and cross classification to compare repeat FFQ administered with 1 to 3 months interval. Results: The FFQ consisted 138 food items from 12 food groups. In validation, mean difference between FFQ and 2DR exceeded 10%, spearman correlation were significantly strong (r=0.994 to r=0.107). Cross-classification demonstrated > 50% of nutrients were correctly and adjacently classified, Bland-Altman plots were relatively consistent for the two methods. Cohen’s kappa ranged from 0.081 to 0.040, demonstrating weak agreement. In reproducibility, ICC outcomes for FFQ1(0.463) and FFQ2(0.978), Cronbach’s alpha was > 0.8, and > 95% of the nutrients were correctly or adjacently classified. Conclusion: The FFQ designed in this study was valid due to the consistency with the dietary records; hence, a reliable tool to predict the dietary intake of Brunei Darussalam adults.

Background: The obesity epidemic is associated with the emergence of new kidney diseases including obesity-related glomerulopathy (ORG) and metabolic syndrome-associated disorders. However, the effects of obesity on prevalence and outcome of biopsy-proven kidney disease are not well known. Methods: We analyzed 14,492 kidney biopsies in 18 hospitals from 1979 to 2018 in Korea.Obesity was defined as a body mass index value of ≥ 30 kg/m 2 . Results: The most common disease was IgA nephropathy (IgAN) in both obese and nonobese participants (33.7% vs. 38.9%). Obesity was associated with a higher risk of focal segmental glomerulosclerosis (FSGS) and hypertensive nephropathy (HT-N) (odds ratio [OR], 1.72, 95% confidence interval [CI], 1.37–2.17; OR, 1.96, 95% CI, 1.21–3.19) and a lower risk of IgAN (OR, 0.74, 95% CI, 0.62–0.88). During the median follow up of 93.1 ± 88.7 months, obesity increased the risk of end-stage kidney disease (ESKD) in patients with IgAN (relative risk [RR], 1.49, 95% CI, 1.01–2.20) and lupus nephritis (LN) (RR, 3.43, 95% CI, 1.36–8.67). Of 947 obese individuals, ORG was detected in 298 (31.5%), and 230 participants had other kidney diseases, most commonly, IgAN (40.9%) followed by diabetic nephropathy (15.2%). Participants with ORG, when combined with other renal diseases, showed higher risks for developing ESKD compared to those with ORG alone (RR, 2.48, 95% CI, 1.09–5.64). Conclusion Obesity is associated with an increased risk of FSGS and HT-N, and also increase the ESKD risk in IgAN and LN patients. ORG in obese participants may have favorable renal outcomes if it occurs alone without any other renal disease.

Objective: Healthcare workers (HCWs) suffered from a heavy mental health burden during the coronavirus disease-2019 (COVID-19) pandemic. We aimed to explore the differences in sleep disturbance in three waves of the COVID-19 pandemic in Taiwan among HCWs. Moreover, factors associated with sleep disturbances in the third wave were investigated. Methods: This study, with three waves of cross-sectional surveys, recruited first-line and second-line HCWs. The level of sleep disturbance and related demographic variables were collected through self-report questionnaires. Differences in sleep disturbance across the three waves were compared with analysis of variance. Factors associated with the level of sleep disturbance were identified using univariate linear regression and further used for multivariate stepwise and bootstrap linear regression to identify the independent predictors. Results: In total, 711, 560, and 747 HCWs were included in the first, second, and third waves, respectively. For first-line HCWs, sleep disturbance was significantly higher in the third wave than in the first wave. The level of sleep disturbance gradually increased across the three waves for all HCWs. In addition, sleep disturbance was associated with depression, posttraumatic stress disorder (PTSD) symptoms, anxiety about COVID-19, vaccine mistrust, and poorer physical and mental health among first-line HCWs. Among second-line HCWs, sleep disturbance was associated with younger age, depression, PTSD symptoms, lower preference for natural immunity, and poorer physical health. Conclusion The current study identified an increase in sleep disturbance and several predictors among HCWs. Further investigation is warranted to extend the application and generalizability of the current study.

Objective: Anxious depression is a prevalent characteristic observed in Asian psychiatric patients diagnosed with major depressive disorder (MDD). This study aims to investigate the prevalence and clinical presentation of anxious depression in Taiwanese individuals diagnosed with MDD. Methods: We recruited psychiatric outpatients aged over 18 who had been diagnosed with MDD through clinical interviews. This recruitment took place at five hospitals located in northern Taiwan. We gathered baseline clinical and demographic information from the participants. Anxious depression was identified using a threshold of an anxiety/somatization factor score ≥7 on the 21-item Hamilton Rating Scale for Depression (HAM-D). Results: In our study of 399 patients (84.21% female), 64.16% met the criteria for anxious depression. They tended to be older, married, less educated, with more children, and an older age of onset. Anxious depression patients had higher HAM-D and Clinical Global Impression–Severity scale score, more panic disorder (without agoraphobia), and exhibited symptoms like agitation, irritability, concentration difficulties, psychological and somatic anxiety, somatic complaints, hypochondriasis, weight loss, and increased insight. Surprisingly, their suicide rates did not significantly differ from non-anxious depression patients. This highlights the importance of recognizing and addressing these unique characteristics. Conclusion Our study findings unveiled that the prevalence of anxious depression among Taiwanese outpatients diagnosed with MDD was lower compared to inpatients but substantially higher than the reported rates in European countries and the United States. Furthermore, patients with anxious depression exhibited a greater occurrence of somatic symptoms.