Childhood stunting, defined as the height-for-age standardized score lower than minus two, is one of the key indicators for assessing well-being and health of a child; and can be used for monitoring child health inequalities. Thailand has been successful in improving health and providing financial protection for its population. A better understanding of the determinants of stunting will help fill both knowledge and policy gaps which promote children’s health and well-being. This study assesses the factors contributing to stunting among Thai children aged less than five years. This study obtained data from the Multiple Indicator Cluster Survey Round 4 (MICS4), conducted in Thailand in 2012. Data analysis consisted of three steps. First, descriptive statistics provided an overview of data. Second, a Chi-square test determined the association between each covariate and stunting. Finally, multivariable logistic regression assessed the likelihood of stunting from all independent variables. Interaction effects between breastfeeding and household economy were added in the multivariable logistic regression. In the analysis without interaction effects, while the perceived size of children at birth as ‘small’ were positively associated with stunting, children in the well-off households were less likely to experience stunting. The analysis of the interactions between ‘duration of breastfeeding’ and ‘household’s economic level’ found that the odds of stunting in children who were breastfed longer than 12 months in the poorest household quintile were 1.8 fold (95% Confidence interval: 1.3–2.6) higher than the odds found in mothers from the same poorest quintiles, but without prolonged breastfeeding. However prolonged breastfeeding in most well-off households (those between the second quintile and the fifth wealth quintile) did not show a tendency towards stunting. Childhood stunting was significantly associated with several factors. Prolonged breastfeeding beyond 12 months when interacting with poor economic status of a household potentiated stunting. Children living in the least well-off households were more prone to stunting than others. We recommend that the MICS survey questionnaire be amended to capture details on quantity, quality and practices of supplementary feeding. Multi-sectoral nutrition policies targeting poor households are required to address stunting challenges.

The food industry can influence individual and population level food consumption behaviours, shape public preferences and interfere with government policy on obesity prevention and NCDs. This paper identifies the Corporate Political Activity (CPA) of major food companies in Thailand which relate to obesity and NCDs. Using the INFORMAS framework to classify CPA, we reviewed publicly available information by 12 food companies between August 2011 and July 2016 in order to identify, analyse and classify the CPA contents. Semi-structured interviews with 17 key stakeholders who are experts in this field supplemented evidence from the document review. Data analysis applied a thematic approach. Food industry in Thailand applied a variety of CPA strategies and practices. The two most common strategies were constituency building and information and messaging. The diverse range of CPA strategies which influence government policy and public opinion can undermine efforts to prevent obesity and diet-related NCDs. We recommend systematic monitoring of their CPA, strengthening mechanisms to hold the food industry accountable for their role in protecting and promoting the nutrition and health of the population, introducing mandatory registration of lobbyists, mandatory disclosure of political donations, and stronger oversight of conflicts of interest among the government actors.

To review the publicly available policies and commitments of selected food companies in Thailand relating to obesity and non-communicable diseases (NCDs) prevention, and to assess these stated policies and commitments against global recommendations. Nineteen food and beverage companies, including 13 packaged food, three non-alcoholic beverage, two food retailer, and one fast food company were selected, based on their market share by sector and food category. A review of publicly available policies and commitments related to four domains (product reformulation, food marketing, nutrition information and food accessibility) was carried out for each company. Content analysis of all data was conducted, including a comparison of policy content against global recommendations in each domain. Eleven companies (58%) reported at least one policy or commitment across the four domains. The packaged food companies reported policies in all four domains while the beverage companies committed to implement policies in all except the accessibility domain. The food retailers and fast food company only had policies in the reformulation and nutrition information domains. Very few of the policies and commitments covered all of the recommended components in each domain, and most lacked sufficient specificity to allow detailed monitoring and evaluation. A small number of the most prominent food companies in Thailand have several nutrition-related policies in place. However, these policies do not sufficiently cover recommended areas for NCD and obesity prevention. Moreover, the extent to which policy statements translate to implementation has yet to be evaluated. Successful implementation of nutrition-related policies by the food industry in Thailand will likely require concrete, measurable indicators to guide both corporate policy making as well as public monitoring. The Thailand Government requires greater capacity to establish effective multi-sector platforms for NCD prevention, and to evaluate food companies’ policies and enforce compliance both with regulations and voluntary commitments.

The Thai government implemented COVID-19 booster vaccines to prevent morbidity and mortality during the spreading of the Omicron variant. However, little is known about which types of vaccine should be invested in as the booster dose for the Thai population. This study aims to investigate the most cost-effective COVID-19 vaccine for a booster shot as empirical evidence for Thai policymakers. This study applied a stochastic simulation based on a compartmental susceptible-exposed-infectious-recovered model and included system dynamics in the model. We evaluated three scenarios: (1) No booster, (2) A viral vector vaccine as the booster dose, (3) An mRNA vaccine as the booster dose. The incremental cost-effectiveness ratio (ICER) was calculated based on provider perspectives. We found the number of cases in scenarios with viral vector and mRNA booster doses to be lower than in the non-booster group. Likewise, the number of deaths in the viral vector and the mRNA booster scenarios was threefold lower than in the no-booster scenario. Moreover, the estimated grand cost for the no-booster scenario was over 100 billion baht, while viral vector and mRNA scenario costs were 70 and 64.7 billion baht, respectively. ICER shows that viral vector and mRNA scenarios are more cost-effective than the no-booster scenario. Viral vector booster shot appeared to be slightly more cost-effective than mRNA booster shot in terms of death aversion. However, being boosted by an mRNA vaccine seemed slightly more cost-effective than a viral vector vaccine concerning case aversion. In conclusion, policies to promote COVID-19 booster shots in the Thai population by either mRNA or viral vector vaccines are likely to be worthwhile for both economic and public health reasons.

Thailand is among many countries severely affected by COVID-19 since the beginning of the global pandemic. Thus, a deliberate planning of health care resource allocation against health care demand in light of the new SARS-CoV-2 variant, Omicron, is crucial. This study aims to forecast the trends in COVID-19 cases and deaths from the Omicron variant in Thailand. We used a compartmental susceptible-exposed-infectious-recovered model combined with a system dynamics model. We developed four scenarios with differing values of the reproduction number (R) and vaccination rates. In the most pessimistic scenario (R = 7.5 and base vaccination rate), the number of incident cases reached a peak of 49,523 (95% CI: 20,599 to 99,362) by day 73, and the peak daily deaths grew to 270 by day 50. The predicted cumulative cases and deaths at the end of the wave were approximately 3.7 million and 22,000, respectively. In the most optimistic assumption (R = 4.5 and speedy vaccination rate), the peak incident cases was about one third the cases in the pessimistic assumption (15,650, 95% CI: 12,688 to 17,603). In the coming months, Thailand may face a new wave of the COVID-19 epidemic due to the Omicron variant. The case toll due to the Omicron wave is likely to outnumber the earlier Delta wave, but the death toll is proportionately lower. Vaccination campaigns for the booster dose should be expedited to prevent severe illnesses and deaths in the population.

Background: Baby food marketing undermines breastfeeding by influencing women’s attitudes and decision-making favourably toward commercial baby food. This study aimed to explore the effects of various baby food marketing techniques on Thai mothers’ opinions about commercial milk formulas (CMF) and commercial complementary foods (CCF) and their infant and young child feeding behaviours. Methods: This study used a cross-sectional survey employing the World Health Organization (WHO) NetCode Toolkit Protocol for Periodic Assessment, and the United Nations International Children’s Emergency Fund (UNICEF) Multiple Indicator Cluster Survey to collect data on mothers’ experience with and their opinion on the various types of marketing of CMF and CCF, and their feeding behaviour. Data collection used structured interviews of mothers with children aged two years or below attending 33 health facilities in Bangkok. Univariable and multivariable regression analysis then investigated links between mothers’ reported exposure to baby food marketing and their infant and young child feeding behaviours, employing a semantic scale and considering key sociodemographic and other variables. Results: Three hundred and thirty mothers were surveyed in Bangkok. Around 90% reported experiencing exposure to at least one type of baby food marketing during the previous six months, mostly from electronic media. More than half of the women had positive opinions of CMF. Virtually all children had been breastfed initially, but 74.6% were given CMF and 72.8% stopped breastfeeding before six months. Multivariable analysis showed that mothers who lived in a couple were significantly less likely to favour CMF, and mothers in middle-income households and those who had received advice about CMF from others were more likely to have a favourable opinion. Mothers in formal employment were over six times more likely to feed formula than those not in employment. Women who experienced baby food marketing at health facilities were four times more likely to feed CMF to their children than those not experiencing such marketing. Conclusions: Specific types of baby food marketing were strongly linked to mothers’ opinions on and use of CMF in Bangkok, Thailand. It is recommended that breastfeeding policies in health facilities and employment are fully implemented and enforced.