This scoping review provides an overview of the published literature, identifies research gaps, and summarises the current evidence of the association between elevated ambient temperature exposure during pregnancy and adverse maternal, foetal, and neonatal outcomes. Following the PRISMA extension for scoping reviews reporting guidelines, a systematic search was conducted on CINAHL, PubMed, and Embase and included original articles published in the English language from 2015 to 2020 with no geographical limitations. A total of seventy-five studies were included, conducted across twenty-four countries, with a majority in the USA (n = 23) and China (n = 13). Study designs, temperature metrics, and exposure windows varied considerably across studies. Of the eighteen heat-associated adverse maternal, foetal, and neonatal outcomes identified, pre-term birth was the most common outcome (n = 30), followed by low birth weight (n = 11), stillbirth (n = 9), and gestational diabetes mellitus (n = 8). Overall, papers reported an increased risk with elevated temperature exposures. Less attention has been paid to relationships between heat and the diverse range of other adverse outcomes such as congenital anomalies and neonatal mortality. Further research on these less-reported outcomes is needed to improve understanding and the effect size of these relationships with elevated temperatures, which we know will be exacerbated by climate change.

Diabetes is a chronic medical condition and adherence to medication in diabetes is important. Improving medication adherence in adults with diabetes would help prevent the chronic complications associated with diabetes. A case control trial was used to study the effects of an educational session on medication adherence among adults with diabetes as measured by the Morisky Medication adherence scale (MMAS-8©). The study took place at the Dubai Police Health Centre between February 2015 and November 2015. Questionnaires were used to collect socio-demographic, clinical and disease related variables and the primary measure of outcome was adherence levels as measured by the Morisky Medication Adherence Scale (MMAS-8©). The intervention group involved a standardized thirty minute educational session focusing on the importance of adherence to medication. The change in MMAS-8© was measured at 6 months. Four hundred and forty six patients were enrolled. Mean age 61 year +/− 11. 48.4 % were male. The mean time since diagnosis of diabetes was 3.2 years (Range 1–15 years). At baseline two hundred and eighty eight (64.6 %) patients were considered non-adherent (MMAS-8© adherence score < 6) while 118 (26.5 %) and 40 (9.0 %) had low adherence (MMAS-8© adherence score < 6) and medium adherence (MMAS-8© adherence scores of 6 to 7) to their medication respectively. The percentage of patients scoring low adherence MMAS-8 scores in the interventional group dropped from 64.60 % at baseline to 44.80 % at 6-months (p = 0.01). There was no obvious change in the adherence scores at baseline and at 6-months in the control group. Based on the study data, the Wilcoxon signed-rank test showed that at 6 months, the educational 30-min session on diabetes and adherence to medication did elicit a statistically significant change in adherence levels in adults with diabetes enrolled in the intervention arm (Z = −6.187, p <0.001). Adults with diabetes would benefit from educational sessions focusing on the importance of adherence to medication. Public health strategies should focus on wider educational strategies targeting medication adherence in diabetic patients in the UAE.

Background: Vector‐borne diseases, exacerbated by climate change, present an escalating global health threat, necessitating robust surveillance and climate‐informed early warning systems to predict outbreaks and enable timely interventions. This systematic review aims to synthesise the challenges and strategies involved in developing and operationalising early warning systems for vector‐borne diseases. Methods: Following PRISMA guidelines, we conducted a systematic search across multiple databases (PubMed, Web of Science, Scopus and Embase) and performed a manual search using predefined keywords up to 05 November 2024. Eleven papers were selected for the reviewing process. Results: While early warning systems show significant promise in enhancing outbreak prediction and guiding timely public health interventions, several key challenges persist. Inadequate data quality and integration—characterised by fragmented epidemiological, entomological and meteorological datasets—compromise predictive accuracy. The review also highlights gaps in stakeholder engagement and capacity building. Without comprehensive training and active collaboration among public health officials, climate scientists and data analysts, the practical application and sustainability of these systems are undermined. Enhancing data harmonisation through standardised collection processes and integration protocols is crucial for improving model reliability. The adoption of scalable, cloud‐based platforms can mitigate technical and infrastructural limitations by enabling real‐time data processing and robust computational capabilities. Strengthening interdisciplinary collaborations—bringing together experts from diverse fields—can refine predictive models and ensure that system outputs are both accurate and actionable. Furthermore, tailored capacity‐building initiatives are vital for empowering local authorities to effectively interpret and implement early warning systems' warning signals. Finally, optimising communication strategies by simplifying technical outputs and developing user‐friendly interfaces can bridge the gap between complex predictive analytics and practical decision‐making processes. Conclusion: Addressing these challenges through integrated solutions will enhance the effectiveness and sustainability of early warning systems, ultimately improving outbreak preparedness and response for vector‐borne diseases in a changing climate.

Poor household dietary diversity has been linked to malnutrition in individuals, households, and cumulatively in populations. High rates of malnutrition among Khmer ethnic children aged five years and younger have been reported in Tri Ton district, Vietnam. This paper aims to further investigate household dietary diversity and associated factors among Khmer ethnic minority populations in Vietnam. A cross sectional study was conducted from October 2018 to April 2019 in Tri Ton District, An Giang Province. By employing a multistage sampling technique, a total of 402 (99.8% response rate) participants were interviewed to measure household dietary diversity using a structured and validated questionnaire developed by FAO. Both bivariate and multivariate logistic regression analyses were carried out to identify factors associated with household dietary diversity. The results showed that the prevalence of low, medium and high dietary diversity scores were 21.4%, 70.4% and 8.2%, respectively. Male-headed households, literacy level, household income, exposure to mass media on nutrition and health information, and frequency of eating were positively associated with household dietary diversity (p < 0.05). However, owning a vegetable and rice farm was not statistically related to households’ dietary diversification. The paper concludes that the magnitude of household diversified dietary intakes was essentially low to medium in participants’ households. These findings have provided evidence to inform the development of the National Nutrition Strategy—2021–2030 in Vietnam, to be revised in 2045. This national strategy proposes appropriate interventions, programs and policies to improve socioeconomic status in ethnic groups and in mountainous areas to enhance populations’ health and well-being including controlling childhood malnutrition. In order to improve population health and wellbeing in Tri Ton District, further actions to address effective dietary practices including strengthening nutrition and health communication about the need to improve household dietary diversity to high levels are recommended.

Objective: Non-communicable and chronic diseases (NCDs) have become a public health problem that seriously threatens the population’s health, especially in rapidly industrialized countries. Given the complexity of managing NCDs, there is growing evidence that interventions embedding or incorporating health promotion strategies can help reduce the disease burden of NCDs. This review aims to identify and map existing control and prevention policies for NCDs in China and identify gaps or opportunities for policy modifications and development, to transfer evidence-based guidelines into empirical public health intervention practices and research. Design: A review was conducted to evaluate the policy documents to manage NCDs in China. Keywords “chronic disease”, “health”, and “policy” were used to search documents published on the Chinese official national websites. Nvivo 12.0 was used to conduct a content analysis of the policy documents. Results: Fifty-six NCD prevention policies were retrieved from the search, and ten documents that incorporated the health promotion component were analyzed. The Healthy China 2030 Plan and Recommendations on Implementing the Healthy China Action are the core health policies of China’s Central Government. These, coupled with three nationwide community-based projects, have provided a foundational transformation platform for health promotion implementation. Conclusion: This review revealed the Chinese Government’s determination and commitment toward the prevention and control of NCDs and the promotion public health. Additional efforts and a focus on accelerating policy transformation and strengthening policy evaluation are required to achieve this commitment.

Diabetes is a chronic medical condition and adherence to medication in adults with diabetes is important. Identifying predictors to medication adherence in