OBJECTIVE: This study undertakes a scoping review of research on the impacts of dietary sugar on cardiometabolic related health outcomes.
METHODS: Ovid Medline, Scopus and Web of Science Core collection databases were used to identify papers published from January 1, 2010 onwards. The included studies had to be cross-sectional or cohort studies, peered review, published in English and in adults, aged 18 years old and above. Articles had to determine the impacts of sugar intake on cardiometabolic related health outcomes. Study quality was measured using the Quality Assessment Tool for Observational Cohort and Cross-sectional Studies. In addition, a narrative synthesis of extracted information was conducted.
RESULTS: Thirty-one articles were included in this review. All studies had a large sample size, and the exposure measure was clearly defined, valid and applied consistently across all study participants. Exposure was measured using validated questionnaires. All data were statistically analysed and adjusted for critical potential confounding variables. Results showed that dietary sugar intake was significantly associated with metabolic syndrome, blood pressure, blood glucose, blood lipids, and body weight.
CONCLUSION: Dietary sugar intake significantly increased cardiometabolic risks through mechanisms dependent and independent of weight gain. It is essential to create public awareness on the topics of cardiometabolic risk management and dietary sugars intake.
METHODS: this cross-sectional online survey included healthcare personnel with non-clinical roles (public health workers and policy-makers) and those delivering health care (doctors and nurses). Respondents were recruited between May and September 2021 by random sampling, completed by snowball sampling.
RESULTS: among 236 participants (42% in clinical, 58% in non-clinical roles) there was an overall consensus between respondents on NCD care being disrupted and compromised during the pandemic in Kenya. Detracted supplies, funding, and technical resources affected the continuity of NCDs' response, despite government efforts. Respondents agreed that the enhanced personnel capacity and competencies to manage COVID-19 patients were positive, but noted a lack of guidance for redirecting care for chronic diseases, and advocated for digital innovation as a solution.
CONCLUSION: this paper explores the perceptions of key stakeholders involved in the management of NCDs in Kenya to improve planning for future emergency responses. Gaps were identified in health system response and preparedness capacity during the pandemic including the perceived need to strengthen NCD services, with solutions offered to guide resilience efforts to protect the health system from disruption.
METHODS: A scoping review was conducted to find the eligible studies and perform a comprehensive data analysis.
RESULTS: Based on the findings, cost-effectiveness analysis, economic loss assessment, modeling, or mapping, as well as behavioral economic analysis were used as the economic evaluation approaches/methods.
CONCLUSIONS: Applying economic evaluation approaches to illustrate the economic costs of disasters is highly recommended. Managing competing priorities and optimizing resources allocations to the most cost-effective interventions can be achieved by cost-effectiveness analysis. The results of economic loss assessment can be used as the basis of disaster preparedness and response planning. Economic modeling can be applied to compare different interventions and anticipate socio-economic effects of disasters. A behavioral economic approach can be effective for decision-making in the field of disaster health management. Further research is needed to identify the advantages and limitations of each economic evaluation method/approach in the field of health in disasters. Such research can preferably be designed as the systematic review and meta-analysis.
METHODS: To find related studies, the WoS, PubMed, ScienceDirect, Scopus, Embase, and Google Scholar databases were systematically searched without a lower time limit. Heterogeneity among the identified studies was checked using the I2 index, and the Begg and Mazumdar correlation test examined the existence of published bias. Comprehensive Meta-Analysis (v.2) software was adopted to analyze the data.
RESULTS: In the review of 18 studies with a sample size of 5,840, the overall pooled prevalence of sleep disorders among AS patients based on the random effects method was found to be 53% (95% CI: 44.9-61). The highest and lowest prevalence was in Egypt at 90% and Australia at 19.2%, respectively. Our meta-regression results show that with the increase in 'sample size' and 'year of publication', the overall prevalence of sleep disorders in patients with AS decreases (p