Study on the death and disease burden caused by high sugar-sweetened beverages intake in China from 1990 to 2019.

BACKGROUND: To analysis the death and disease burden caused by high sugar-sweetened beverages intake in China from 1990 to 2019. METHODS: Data were obtained from the 2019 Global Burden of Disease Study. We analyzed the death cases caused by high sugar-sweetened beverages intake in China and provinces from 1990 to 2019, as well as the disease burden (including disability-adjusted of life year), years of life lost and years lived with disability, and compared the changes of death in 1990 and 2019. RESULTS: In 2019, the number of deaths attributed to sugar-sweetened beverages in China reached 46 633 with an increase of 95% compared with 1990. The proportion of deaths caused by excessive consumption of carbon-containing beverages increased from 0.34% in 1990 to 0.46% in 2019, an increase of 35%. In 2019, the top five provinces in China with more deaths caused by excessive intake of sugary beverages were Shandong, Henan, Hebei, Hunan and Guangdong, with the number of death cases 4337, 3881, 3010, 2762 and 2611, respectively. CONCLUSIONS: The number of deaths and disease burdens caused by high sugar-sweetened beverages intake in China has increased significantly over the past three decades. The burden of disease due to high intake of sugary beverages varies widely from province to province. We suggest that attention should be paid to the problem of excessive intake of high sugar-sweetened beverages for Chinese population. In addition to regular monitoring and investigation of sugar-sweetened beverage intake, comprehensive measures should be taken in China's sugar control work.

Relationship between flood severity and risk of hospitalisation in the Mekong River Delta of Vietnam.

OBJECTIVE: To examine the relationship between flood severity and risk of hospitalisation in the Vietnam Mekong River Delta (MRD). METHODS: We obtained data on hospitalisations and hydro-meteorological factors during 2011-2014 for seven MRD provinces. We classified each day into a flood-season exposure period: the 2011 extreme annual flood (EAF); 2012-2014 routine annual floods (RAF); dry season and non-flood wet season (reference period). We used province-specific Poisson regression models to calculate hospitalisation incidence rate ratios (IRRs). We pooled IRRs across provinces using random-effects meta-analysis. RESULTS: During the EAF, non-external cause hospitalisations increased 7.2% (95% CI 3.2% to 11.4%); infectious disease hospitalisations increased 16.4% (4.3% to 29.8%) and respiratory disease hospitalisations increased 25.5% (15.5% to 36.4%). During the RAF, respiratory disease hospitalisations increased 8.2% (3.2% to 13.5%). During the dry season, hospitalisations decreased for non-external causes and for each specific cause except injuries. CONCLUSIONS: We observed a gradient of decreasing risk of hospitalisation from EAF to RAF/non-flood wet season to dry season. Adaptation measures should be strengthened to prepare for the increased probability of more frequent extreme floods in the future, driven by climate change.

The Pearl River Declaration: a timely call for enhancing health security through fostering a regional one health collaboration in the Asia-Pacific.

The Second International Symposium on One Health Research (ISOHR) was held in Guangzhou city, China on 23-24 November 2019. A transdisciplinary collaborative approach, One Health (OH), was the central theme of the symposium which brought together more than 260 experts, scholars and emerging researchers from human health, veterinary health, food safety, environmental health and related disciplines and sectors. More than 50 organizations including World Health Organization, Centers for Disease Control (USA), and Queensland Government (Australia) participated in the symposium. Scholars, experts and emerging researchers, policy-makers and practitioners in their respective fields delivered over 50 presentations at the symposium, highlighting the collective vulnerability to some of the emerging health challenges the region was combating. These included emerging infectious diseases, antimicrobial resistance, climate change, food safety and the growing burden of non-communicable diseases. The Pearl River Declaration, emanated from the symposium, called for establishing a One Health Cooperation Network in the Southeast Asia-Pacific region with a vision to strengthen regional health security through sharing each other's knowledge and experience, and making investments in workforce development, scientific innovations such as vaccine research and development, sharing epidemic intelligence, risk identification, risk communication and appropriate response measures against emerging health threats.

Impacts of helmet law on the changes in potential years of life lost due to traffic injury: a multiple-province evaluation in Vietnam.

INTRODUCTION: This study aimed to evaluate the impact of the helmet law on the changes in potential years of life lost (PYLL) due to traffic mortality and to examine modification effects of socioeconomic factors on the impacts in Vietnam. METHODS: We applied an interrupted time series design using the Bayesian framework to estimate the impact of the law at the provincial level. Then, we used random effects meta-analysis to estimate the impact of the law at the country level and to examine the modification effects of socioeconomic factors. RESULTS: The results indicate that the impacts varied among the provinces. These impacts could be classified by four main groups comprising positive impact, and positive impact without sustainability, possible positive impact, negative or inconsistent impact. For the country-level impact, the results reveal a significantly consistent change in monthly PYLLs at the level of 18 per 100 000 persons, and the post-trend was stable without significant change. The results of meta-regression show that 1 unit increase in the population density (persons/km2), migration rate (%) and income (×1000 dong) are non-significantly associated with increases of PYLLs at 1.3, 27 and 27 per 100 000 person-months, respectively, whereas 1% increase in literacy associated with a decrease of PYLL at 44 per 100 000 person-months. DISCUSSION: Further studies should be warranted to provide a comprehensive evaluation of the law implementation, including its acceptability, adoption, appropriateness, feasibility, cost-effectiveness and sustainability.

Temporal relationships between climate variables and hand-foot-mouth disease: a multi-province study in the Mekong Delta Region, Vietnam.

Hand-foot-mouth disease (HFMD) is an emerging infectious disease that affects thousands of children every year in Vietnam, especially in the Mekong Delta Region (MDR). This study aims to analyse both provincial and regional level effects of climate factors on HFMD in multiple provinces of this high-risk region. Generalized linear models were used to analyse the daily effects of average temperature, humidity and rainfall on HFMD incidence in each province (provincial-level effects), and random-effect meta-analysis was used to estimate the pooled effect size of these climate-HFMD associations (regional-level effects). Daily effects of the climate factors on HFMD were found at both provincial level and regional level. At provincial level, temperature and humidity had statistically significant positive associations with HFMD while rainfall had both positive and negative associations with HFMD at different lag days. At regional level, temperature and humidity were positively associated with HFMD at lag 0 days (1.7%; 95%CI 0.1%-3.3%) and at lag 3 days (0.3%; 95%CI 0.1%-0.5%), respectively. In contrast, rainfall was found to be negatively associated with HFMD at lag 5 days (- 0.3%; 95%CI - 0.4% to - 0.1%). Heterogeneities of the effects of rainfall on HFMD were found to be higher than those of temperature or humidity. This is the first study to address the climate-HFMD associations in multiple provinces of the MDR. These associations draw attention to climate-related health issues and will help in developing an environment-based early warning system for HFMD prevention and control.

Spatial patterns of health vulnerability to heatwaves in Vietnam.

The increasing frequency and intensity of heat events have weighty impacts on public health in Vietnam, but their effects vary across regions. In this study, we have applied a vulnerability assessment framework (VAF) to systematically assess the spatial pattern of health vulnerability to heatwaves in Vietnam. The VAF was computed as the function of three dimensions: exposure, sensitivity, and adaptive capacity, with the indicators for each dimension derived from the relevant literature, consultation with experts, and available data. An analytic hierarchy process (AHP) was used to determine the weight of indicators. Each province in Vietnam's vulnerability to the health impacts of heatwaves was evaluated by applying the vulnerability index, computed using 13 indicators (sensitivity index, 9; adaptive capacity index, 3; and exposure index, 1). As a result of this analysis, this study has identified heatwave vulnerability 'hotspots', primarily in the Southeast, Central Highlands, and South Central Coast of Vietnam. However, these hotspots are not necessarily the same as the area most vulnerable to climate change, because some areas that are more sensitive to heatwaves may have a higher capacity to adapt to them due to a host of factors including their population characteristics (e.g. rates of the elderly or children), socio-economic and geographical conditions, and the availability of air-conditioners. This kind of information, provided by the vulnerability index framework, allows policymakers to determine how to more efficiently allocate resources and devise appropriate interventions to minimise the impact of heatwaves with strategies tailored to each region of Vietnam.

The effectiveness of workplace health promotion in low- and middle-income countries.

Although many literature reviews synthesize literature regarding workplace health promotion (WHP) interventions, systematic reviews on the effectiveness of and factors influencing the operation of WHP activities in low- and middle-income countries (LMIC) are scarce. Therefore, we systematically reviewed evaluation studies to examine the effectiveness and factors related to the implementation of WHP programmes in LMIC. Twenty-six peer-reviewed and grey evaluation studies, published before November 2017, were included from electronic databases (PubMed, The Cochrane Library, PsycINFO, EMBASE and Web of Science) and manual searching. The results revealed that WHP intervention in LMIC was effective in reducing health risks in a wide range of industries and settings, including in resource-poor contexts such as small enterprises and the manufacturing industry. The main factors positively influencing the effectiveness of the intervention are long intervention time period, and needs-based and active intervention strategies. In addition, commitment from workplace leaders, the involvement of workers and support from authorities and professionals are factors contributing to a successful WHP programme. However, the evidence regarding the effectiveness of WHP in LMIC regarding the health outcomes and business productivity is inconclusive due to the several remaining methodological limitations. Future developments of more rigorous methods of evaluating the effectiveness of WHP activities should be addressed to produce higher-quality evidence that would inform future practice.

Association of the built environments and health-related quality of life in community-dwelling older adults: a cross-sectional study.

PURPOSE: The relationship between built environments and the quality of life (QoL) of the elderly has gained great attention in recent years. However, most QoL studies have been conducted in western countries; thus, limited research was found in Asia, in which the population density, urban forms, narrow roadways, and land use patterns are more compact and highly mixed in terms of use. Therefore, the purpose of this study was an interdisciplinary analysis of two national datasets, the National Land Use Investigation and the National Health Interview Survey, to explore the relationship between built environments and the health-related quality of life of older adults in Taiwan. METHODS: Eight types of built environments at the township level were calculated, and 1222 nationally representative older adults aged 65 and older were recruited. The outcome variable was health-related QoL as measured using the EQ-5D, including utility score and the EQ-VAS. Statistical methods included descriptive analysis, bivariate analysis, and mixed-effects logistic regression analysis, which were conducted using SAS 9.4 software. RESULTS: The results showed that a significant relationship exists between cultural and historical facilities and low EQ-VAS; none of the built environments were found to be related to the EQ-5D. Individual factors are the main determinants of the EQ-5D of older adults in Taiwan. Positive relationships were found if older adults were engaging in physical activities and social participation. CONCLUSIONS: We suggest that building a supportive environment in which elderly people could consistently engage in physical activities and social participation is another potential approach that might contribute to active aging.

Exploring the system capacity to meet occupational health and safety needs: the case of the ready-made garment industry in Bangladesh.

BACKGROUND: Since the 2013 Rana Plaza incident in Bangladesh, the government of Bangladesh has been under pressure to improve health and safety conditions for workers in the ready-made garment industry. Its efforts have focused heavily on structural safety of the buildings but have largely ignored broader occupational health system issues. This qualitative study explores contextual factors and system challenges that create barriers for ensuring a healthy and safe workplace in the ready-made garment industry in Bangladesh. METHODS: Data were collected through key informant interviews (n = 14) with government officials from the Department of Inspection for Factories and Establishments (DIFE), factory employers, factory doctors and representatives from the Bangladesh Garment Manufacturers and Exporters Association (BGMEA). A thematic analysis was conducted using Atlas-ti v 5.2. RESULTS: A thematic analysis suggests that the capacity of the DIFE to provide adequate occupational health services remains a problem. There is a shortage of both appropriately trained staff and equipment to monitor occupational health and safety in factories and to gather useful data for evidence-based decision-making. Another barrier to effective occupational health and safety of workers is the lack of cooperation by employers in recording data on workers' health and safety problems. Finally, government officials have limited resources and power to enforce compliance with regulations. Such deficiencies threaten the health and safety of this important, largely female, working population. CONCLUSION: This case example focused on the valuable ready-made garment industry sector of Bangladesh's economy. It identifies the critical need for occupational health system strengthening. Specifically system capacity needs to be improved by both increasing human resources for in-factory hazards and health monitoring, regulatory inspection, enforcement, and improved training of government officials around monitoring and reporting.

Sewing shirts with injured fingers and tears: exploring the experience of female garment workers health problems in Bangladesh.

BACKGROUND: The ready-made garment industry in Bangladesh not only contributes to the nation's economic development, but has created income opportunities for women, benefiting their whole family. However, these benefits come at considerable cost to the women. This research examines how the work environment and gendered family role in this conservative society affect the health of the female industrial workers. METHODS: A qualitative study employed in-depth interviews (n-20) and focus group discussions with female garment workers (n-4) in two cities of Dhaka district. Further, key informant interviews (n = 4) with factory doctors, along with eight workplace observations were conducted to explore the lived experience of female workers' health issues. Interview transcripts were coded in Atlas-ti, 5.2. The data were analysed using thematic analysis approach. The themes are illustrated with case narratives. RESULTS: The female workers reported that their work has led to back and joint pain, continuous headache, eye pain and difficulty in breathing associated with inhaling fabric dust. Inadequate lighting, constantly sitting in one position without back rest and continuous noise from hundreds of machines makes them feel permanently tired. Further, the female workers reported that working in the factory and meeting the expectations of the families at home has doubled their workload. The doctors indicated that the physical work environment, their low job status and the nature of the job affect the health of female workers. CONCLUSION: This study found that female workers in the ready-made garment industry face a high risk of health problems. Both government and non-government organizations need to be better involved in designing interventions targeting these women, to protect them from such health risks. In addition, recognition by the whole society of the important role the women play in the economy is needed, so that support by both family and society can be improved.

Comparative evaluation of chlorpyrifos exposure estimates from whole-body dermal dosimetry and urinary trichloro-2-pyridinol (TCP) methods.

Chlorpyrifos is one of the most widely used organophosphate pesticides and has a record of adverse effects on applicators. Assessment of exposure to chlorpyrifos based on its urinary metabolite, 3,5,6-trichloro-2-pyridinol (TCP), is considered as the most accurate. However, urine sampling can be difficult, and the laboratory analytical procedures involved are complex and expensive. A simpler approach for assessing pesticide exposure among applicators is the whole-body dermal dosimetry method, but this needs validation. The objective of this study was to compare chlorpyrifos exposure estimates obtained separately with the urinary TCP and the whole-body dermal dosimetry methods from applicators. Exposure estimates from the whole-body dermal dosimetry method (5-29 µg/kg/day) showed less variation than those from the urinary TCP method (1-71 µg/kg/day), but both were in close agreement at the mean level (16 µg/kg/day and 15 µg/kg/day, respectively). The whole-body dermal dosimetry method is therefore valid for providing estimates of the typical levels of pesticide exposure among applicators in situations where the urinary TCP method cannot be applied.

Association between salinity and hospital admission for hypertension: an ecological case-control study in the Mekong Delta Region in Vietnam.

Background: Drinking water in the Mekong Delta Region (MDR) is highly vulnerable to salinity intrusion and this problem is expected to increase with the projected climate change and sea level rise. Despite this, research on health effects of saline contaminated water is scarce in this region. This study examines the risk of hospital admission for hypertension in salinity-affected areas of the MDR. Methods: Cases and controls were obtained from national/provincial hospital admission records for 2013. The cases were adult patients whom hypertension (ICD10-code: I10-I15) was primary diagnosis for admission. Of the 13 provinces in the MDR, we identified seven as 'salinity exposed' and the remaining as 'non-exposed' areas. A multi-level logistic regression model was used to examine the association between salinity exposure and hypertension outcome. Results: Of the total 573 650 hospital admissions, 22 382 (~3.9%) were hypertensive cases. The multi-level logistic model combining both individual and ecological factors showed a 9% increase in risk (95% CI: 3-14%) of hypertension admission among individuals in exposed areas compared to those in non-exposed areas. Conclusion: In order to develop and promote appropriate adaptation strategies, further research is recommended to identify the salt exposure pathways and consumption behaviours in the salinity exposed areas.

What makes pregnant workers sick: why, when, where and how? An exploratory study in the ready-made garment industry in Bangladesh.

BACKGROUND: Bangladesh has made significant progress in reducing maternal mortality. Many factors have contributed to this; one is the socio-economic development of the country. The ready-made garment industry is at the forefront of this development creating employment for many women. However, the work environment has the potential to create health problems, particularly for vulnerable groups such as pregnant women. This paper explores perceptions of health problems during pregnancy of factory workers, in this important industry in Bangladesh. METHODS: This study was conducted in four factories using qualitative research methods to provide a view of pregnant workers' health risks beyond a bio-medical approach. Data was collected through in-depth interviews of pregnant workers and observations of their homes and workplaces. Further, key informant interviews with factory health care providers, government officials and employers revealed different perspectives and experiences. Data was collected in the local language (Bengali), then transcribed and analysed using a framework analysis approach. RESULTS: Female workers reported that participation in paid work created an opportunity for them to earn money but pregnancy and the nature of the job, including being pressured to meet the production quota, pressure to leave the job because of their pregnancy and withholding of maternity benefits, cause stress, anxiety and may contribute to hypertensive disorders of pregnancy. This was confirmed by factory doctors who suggested that developing hypertensive disorders during pregnancy was influenced by the nature of work and stress. The employers seemed focused on profit and meeting quotas and the health of pregnant workers appeared to be a lower priority. This study found that the government lacks the resources to understand the extent of the problem or the level of compliance with maternity related regulations. CONCLUSIONS: These results indicate the vulnerability of female workers to physical and mental stress at work and associations with their health problems during pregnancy. It identifies the deficiencies of family, workplace and health service support for these pregnant workers, highlighting the urgent need for government and non-government organisations to work with this important export industry to improve health surveillance and monitoring and the enforcement of existing laws to protect the rights and conditions of pregnant women.

A climate-based prediction model in the high-risk clusters of the Mekong Delta region, Vietnam: towards improving dengue prevention and control.

OBJECTIVE: To develop a prediction score scheme useful for prevention practitioners and authorities to implement dengue preparedness and controls in the Mekong Delta region (MDR). METHODS: We applied a spatial scan statistic to identify high-risk dengue clusters in the MDR and used generalised linear-distributed lag models to examine climate-dengue associations using dengue case records and meteorological data from 2003 to 2013. The significant predictors were collapsed into categorical scales, and the ß-coefficients of predictors were converted to prediction scores. The score scheme was validated for predicting dengue outbreaks using ROC analysis. RESULTS: The north-eastern MDR was identified as the high-risk cluster. A 1 °C increase in temperature at lag 1-4 and 5-8 weeks increased the dengue risk 11% (95% CI, 9-13) and 7% (95% CI, 6-8), respectively. A 1% rise in humidity increased dengue risk 0.9% (95% CI, 0.2-1.4) at lag 1-4 and 0.8% (95% CI, 0.2-1.4) at lag 5-8 weeks. Similarly, a 1-mm increase in rainfall increased dengue risk 0.1% (95% CI, 0.05-0.16) at lag 1-4 and 0.11% (95% CI, 0.07-0.16) at lag 5-8 weeks. The predicted scores performed with high accuracy in diagnosing the dengue outbreaks (96.3%). CONCLUSION: This study demonstrates the potential usefulness of a dengue prediction score scheme derived from complex statistical models for high-risk dengue clusters. We recommend a further study to examine the possibility of incorporating such a score scheme into the dengue early warning system in similar climate settings.

An integrated risk and vulnerability assessment framework for climate change and malaria transmission in East Africa.

BACKGROUND: Malaria is one of the key research concerns in climate change-health relationships. Numerous risk assessments and modelling studies provide evidence that the transmission range of malaria will expand with rising temperatures, adversely impacting on vulnerable communities in the East African highlands. While there exist multiple lines of evidence for the influence of climate change on malaria transmission, there is insufficient understanding of the complex and interdependent factors that determine the risk and vulnerability of human populations at the community level. Moreover, existing studies have had limited focus on the nature of the impacts on vulnerable communities or how well they are prepared to cope. In order to address these gaps, a systems approach was used to present an integrated risk and vulnerability assessment framework for studies of community level risk and vulnerability to malaria due to climate change. RESULTS: Drawing upon published literature on existing frameworks, a systems approach was applied to characterize the factors influencing the interactions between climate change and malaria transmission. This involved structural analysis to determine influential, relay, dependent and autonomous variables in order to construct a detailed causal loop conceptual model that illustrates the relationships among key variables. An integrated assessment framework that considers indicators of both biophysical and social vulnerability was proposed based on the conceptual model. CONCLUSIONS: A major conclusion was that this integrated assessment framework can be implemented using Bayesian Belief Networks, and applied at a community level using both quantitative and qualitative methods with stakeholder engagement. The approach enables a robust assessment of community level risk and vulnerability to malaria, along with contextually relevant and targeted adaptation strategies for dealing with malaria transmission that incorporate both scientific and community perspectives.

Drinking water contributes to high salt consumption in young adults in coastal Bangladesh.

Increasing salinity of freshwater from environmental and anthropogenic influences is threatening the health of 35 million inhabitants in coastal Bangladesh. Yet little is known about the characteristics of their exposure to salt (sodium), a major risk factor for hypertension and related chronic diseases. This research examined sodium consumption levels and associated factors in young adults. We assessed spot urine samples for 282 participants (19-25 years) during May-June 2014 in a rural sub-district in southwestern coastal Bangladesh and measured sodium levels of their potable water sources. The significant factors associated with high sodium consumption were determined from logistic regression analyses. Mean sodium content in tube-well water (885 mg/L) was significantly higher than pond water (738 mg/L) (P = 0.01). Fifty three percent of subjects were consuming sodium at levels above the WHO recommended level (≥2 g/day). The users of tube-well water were more likely to consume sodium above this recommended level than pond water users. Salinity problems are projected to increase with climate change, and with large populations potentially at risk, appropriate public health and behavior-change interventions are an urgent priority for this vulnerable coastal region along with targeted research to better understand sodium exposure pathways and health benefits of alternative water supplies.

Heat-related illness in China, summer of 2013.

Extreme heat events have occurred more frequently in China in recent years, leading to serious impacts on human life and the health care system. To identify the characteristics of individuals with heat-related illnesses in China during the summer of 2013, we collected the data from the Heat-related Illness Surveillance System in Chinese Center for Disease Control and Prevention (China CDC). A total of 5758 cases were reported in the summer of 2013, mostly concentrated in urban areas around the middle and lower reaches of the Yangtze River. We found a difference in age distribution of percentage of deaths from heat-related illness between males and females. Severe cases in males mostly occurred in the age group 45-74 years but in females mostly in the age group over 75. A distributed lag non-linear model had been used to identify population vulnerabilities in Ningbo and Chongqing. The results show that there was a clear positive relationship between maximum temperature and heat-related illness, and the heat effect was nonlinear and could last for 3 days. The elderly and males in the range of 45-64 years old might be the most vulnerable people of heat-related illness in China. We also highlighted some deficiencies of the surveillance system, such that the reported data were not accurate, comprehensive, or timely enough at this stage.

The spatial distribution of vulnerability to the health impacts of flooding in the Mekong Delta, Vietnam.

Flooding causes significant public health issues. The Mekong Delta has been considered the region to be the most vulnerable to flooding in Vietnam. This study assessed the spatial vulnerability of the health impacts of flooding in the Mekong Delta region, Vietnam. This study applied a vulnerability assessment framework which was computed as the function of three dimensions: exposure, sensitivity, and adaptive capacity. The indicators for each dimension were derived from the relevant literature, consultations with experts, and data availability. An analytic hierarchy process (AHP) and a principal component analysis (PCA) were used to determine the weight of indicators. Vulnerability indexes (VIs) were then computed for each province. A total of 29 indicators (sensitivity index, 14; adaptive capacity index, 13; and exposure index, 2) were employed to evaluate the vulnerability to the health impacts of flooding at a provincial level. The results of AHP revealed that the highest VIs were found in the Dong Thap and An Giang provinces (VI, 1.948 and 1.574, respectively). VIs were distributed with higher indexes in upstream provinces close to a river than in coastal provinces. PCA generated three components from the 29 indicators, and the VIs computed from the PCA method are in substantial agreement with the AHP method (ICC = 0.71, p < 0.05). The vulnerability to the health impacts of flooding varies from province to province in the Mekong Delta region in Vietnam. Individual plans for health preparedness and adaption to flooding should be developed for each province in the Mekong Delta region.

Temperature as a risk factor for hospitalisations among young children in the Mekong Delta area, Vietnam.

BACKGROUND: The Mekong Delta is the most vulnerable region to climate change in South-East Asia; however, the association between climate and children's health has rarely been studied in this region. OBJECTIVE: We examined the short-term association between daily temperature and hospital admissions for all causes, gastrointestinal and respiratory infection, among young children in the Mekong Delta area in Vietnam. METHODS: Daily paediatric hospital admissions and meteorological data were obtained from January 2008 to December 2012. A time-series approach was used with a combination of a Poisson regression and constrained distributed lag models to analyse the data. The long-term and seasonal trends, as well as other time-varying covariates, were adjusted using spline functions. Temperature--pediatric admission relationship was evaluated by age-specific (0-2 and 3-5-year-olds) and cause of admission groupings. RESULTS: A 1°C increase in the 2-day moving average temperature was significantly associated with a 3.4% (95% CI 1.2% to 5.5%), 4.6% (95% CI 2.2% to 7.3%), 2.6% (95% CI 0.6% to 4.6%), 4.4% (95% CI 0.6% to 8.2%) and 3.8%(95% CI 0.4% to 7.2%) increase in hospital admissions with 0-2-year-old children, 3-5-year-old children, all causes, gastrointestinal infection and respiratory infection, respectively. The cumulative effects from 1-day to 6-day moving average temperature on hospital admissions were greater for 3-5-year-old children and gastrointestinal infection than for 0-2-year-old children and other causes. CONCLUSIONS: Temperature was found to be significantly associated with hospital admissions in young children with the highest association between temperature and gastrointestinal infection. The government agencies of Mekong Delta should implement measures to protect children from the changing temperature conditions related to climate change.