MetS is common in the Philippines among older, educated, and urban residents. The mNCEP criteria identified more MetS than the IDF criteria.

Introduction: The COVID-19 pandemic has affected almost all populations, with frontline workers experiencing a higher risk of mental health effects compared to other groups. Although there are several research studies focusing on the mental health effects of the pandemic on healthcare workers, there is little research about its impact on workers in outsourced hospital essential services. This study aims to examine the prevalence and correlates of psychological distress and coronavirus anxiety among staff working in 3 outsourced hospital essential services—housekeeping, porter service and maintenance services. Methods: A cross-sectional study was conducted among outsourced hospital essential services workers in a tertiary hospital. Data on demographics, medical history, lifestyle factors, psychosocial factors and mental well-being were collected using self-administered questionnaires. Robust logistic regression was used to determine risk factors associated with psychological distress and dysfunctional anxiety related to COVID-19. Results: A total of 246 hospital essential services workers participated in the study. The prevalence of psychological distress was 24.7%, and dysfunctional anxiety related to COVID-19 was 13.4%. Social support and workplace support were found to be independently associated with a lower risk of psychological distress, and social connectivity was associated with a lower risk of dysfunctional anxiety related to COVID-19. Conclusion: These findings highlight the crucial roles of communities and workplaces in combating the mental health consequences of the pandemic. Public health programmes that aim to tackle the emerging mental health crisis in hospital essential services workers should incorporate strategies to address psychosocial factors, in addition to traditional self-care approaches. Keywords: Coronavirus anxiety, COVID-19, essential services workers, mental health, psychological distress, Singapore

Introduction: Many regions in the world are using the population health approach and require a means to measure the health of their population of interest. Population health frameworks provide a theoretical grounding for conceptualization of population health and therefore a logical basis for selection of indicators. The aim of this scoping review was to provide an overview and summary of the characteristics of existing population health frameworks that have been used to conceptualize the measurement of population health. Methods: We used the Population, Concept and Context (PCC) framework to define eligibility criteria of frameworks. We were interested in frameworks applicable for general populations, that contained components of measurement of health with or without its antecedents and applied at the population level or used a population health approach. Eligible reports of eligible frameworks should include at least domains and subdomains, purpose, or indicators. We searched 5 databases (Pubmed, EMBASE, Web of Science, NYAM Grey Literature Report, and OpenGrey), governmental and organizational sites on Google and websites of selected organizations using keywords from the PCC framework. Characteristics of the frameworks were summarized descriptively and narratively. Results: Forty-eight frameworks were included. The majority originated from the US (42%), Canada (23%) and Europe (23%). Apart from 1 framework developed for rural populations and 2 for indigenous populations, the rest were for general urban populations. The numbers of domains, subdomains and indicators were highly variable. Health status and social determinants of health were the most common domains across all frameworks. Different frameworks had different priorities and therefore focus on different domains. Conclusion: Key domains common across frameworks other than health status were social determinants of health, health behaviours and healthcare system performance. The results in this review serve as a useful resource for governments and healthcare organizations for informing their population health measurement efforts.