How an agreement with restriction of unhealthy food marketing and sodium taxation influenced high fat, salt or sugar (HFSS) food consumption.

BACKGROUND: Food taxation and food marketing policy are very cost-effectiveness to improve healthy diets among children. The objective of this study was to investigate the socio-demographic characteristics of Thais and attitude towards on policy unhealthy food marketing restriction and sodium taxation which influence high fat, sodium, and sugar (FHSS) food eating. METHODS: The data were obtained from the 2021 Health Behavior of Population Survey, four-stage sampling method of the Thai people, aged 15 years and above, using a offline survey application-assisted face-to-face interview. Logistic Regression were used to analyze the explanatory variables on agreement and HFSS food intake. RESULTS: Almost half (48.4%) of samples disagreed with sodium taxation, and 42.7% of the samples disagreed with food marketing restriction. Most (99.6%) of Thai respondents consumed HFSS food, including sugar sweetened beverages (SSB). Gender, age, education, income, BMI, and health status were associated with agreement with food marketing restriction policy and sodium taxation policy. There is no association between agreement with policy on sodium taxation and food marketing and HFSS food consumption. CONCLUSION: Nearly half of Thais indicated that they disagreed with policy on food marketing restriction and sodium taxation. Therefore, understanding and awareness of the two policies among Thais should be further investigated in order to develop better policy communication for increased public understanding and engagement.

Profiling ultra-processed foods in Thailand: sales trend, consumer expenditure and nutritional quality.

BACKGROUND: Ultra-processed foods (UPF) are associated with adverse health outcomes. This study aimed to analyse the national trends in retail sales, consumer expenditure and nutritional quality of UPFs in Thailand. METHODS: The study used data from the Euromonitor Passport database for analysis of retail sales and consumer expenditure, and from the Mintel Global New Products Database for nutritional analysis using the WHO Southeast Asian Region nutrient profile model. RESULTS: The study found the highest per capita sales volume and value of UPFs in 2021 were sauces, dressings & condiments (8.4 kg/capita) and carbonated soft drinks (27.1 L/capita), respectively. However, functional & flavoured water, ready-made meals and baked goods had the highest observed (2012-2021) and expected (2021-2026) sales growth. Supermarkets were responsible for most of the UPF sales since 2012, but convenience stores had larger growth in retail values. Growth in consumer expenditure per capita on UPFs from 2012 to 2020, ranged between 12.7% and 34%, and till 2026 is forecast to grow between 26% and 30%. More than half of UPFs exceeded at least one nutrient cutoff, 59.3% for total fats, 24.8% for saturated fats, 68.2% for total sugars and 94.3% for sodium. CONCLUSIONS: The findings suggest a need for regulatory and non-regulatory measures such as UPF taxation and marketing restrictions, and market incentives for producing non-UPFs. A system for regularly monitoring and evaluating healthiness (both nutritional and processing aspects) of food products, especially UPFs, is required.

Are exposure to health information and media health literacy associated with fruit and vegetable consumption?

BACKGROUND: Health information promotes a healthy lifestyle; however, media health literacy (MHL) is essential to personal intake, especially fruit and vegetables (F&V). This study aimed to determine how exposure to health information and MHL affect F&V consumption among Thai youth aged 10-14 years. Health behavior at this age can be an important determinant of consumption habits when transitioning into adulthood. METHODS: A stratified two-stage sample survey was conducted to recruit 1,871 youth across regions to be nationally representative. Qualtrics offline survey application was used for data collection face-to-face with all respondents. Multiple linear regression was used to analyze the explanatory variables on fruit consumption and vegetable consumption. RESULTS: This study found that almost 70% of Thai youth were exposed to health-related content via the Internet, and had low analytical skills to process that information. Grade Point Average (GPA), exposure to health information, various media types, frequency of exposure to health information, and MHL influenced the frequency of F&V intake. Health status related to fruit intake, age, place of residence, amount of pocket money, and body mass index (BMI) were associated with F&V consumption. CONCLUSION: Exposure to health information and MHL are associated with F&V intake. Therefore, exposure to health information and MHL should be addressed for policy formulation in Thai schools and the health system.

Linking Fruit and Vegetable Consumption, Food Safety and Health Risk Attitudes and Happiness in Thailand: Evidence from a Population-based Survey.

The purpose of this nationally-representative cross-sectional study was to investigate the association of fruit and vegetable consumption and food safety and health risk attitudes with happiness among Thai people. The study employed a multi-stage sampling design. A total of 6,955 Thai residents age 15 years or older from four geographic regions and Bangkok in Thailand participated in the study. Information on self-reported happiness, daily fruit, and vegetable consumption, sociodemographic characteristics, and risk attitudes were collected via survey questionnaires. Multiple regression analysis was used in investigating the association between risk attitudes, fruit and vegetable consumption, and happiness, adjusting for the covariates sequentially. Risk attitudes and sufficient fruit and vegetable intake were found to be significantly associated with happiness. The positive association between risk attitudes toward health safety, food safety, and happiness were found to be statistically significant. People who had sufficient fruit and vegetable intake had a 0.187 higher happiness score than those who had insufficient fruit and vegetable intake. These findings could be used by policymakers and public health practitioners to design better interventions that can target specific populations with different risk attitudes and improve their psychological well-being via increasing FV consumption.

Relationship between consumption of high fat, sugar or sodium (HFSS) food and obesity and non-communicable diseases.

The objective of this study was to investigate the relationship between high in fat, sugar or salt consumption, obesity and non-communicable diseases (NCDs) in the population in Thailand, and other associated factors. This study used data from participants age 15 years or older from the 2021 Health Behaviour of Population Survey. The final analytical sample included 74 894 respondents with complete data. Binary logistic regression analysis was used to investigate the relationship between socio-demographic characteristics, unhealthy food, NCDs and obesity. People with obesity had the significant ORs for sugar-sweetened beverages or SSB (OR 1.208; 95% CI 1.159 to 1.259), high-fat foods (OR 1.162; 95% CI 1.120 to 1.207) and snacks (OR 1.048; 95% CI 1.004 to 1.093), but had the significant protective ORs for meat products (OR 0.964; 95% CI 0.930 to 0.999), instant food (OR 0.903; 95% CI 0.865 to 0.942) and fast food (OR 0.871; 95% CI 0.831 to 0.913). People with any NCDs had the significant protective ORs for meat products (p≤0.001), instant food (p≤0.05) and fast food (p≤0.01). People with diabetes tended not to drink SSB while people with heart disease tended not to consume SSB and snacks. The findings suggest a need for prevention and control strategies such as promoting healthy snacking behaviour, modifying food environments and paying specific attention to the population most at risk of obesity and NCDs.

Choosing an effective food classification system for promoting healthy diets in Thailand: a comparative evaluation of three nutrient profiling-based food classification systems (government, WHO, and Healthier Choice Logo) and a food-processing-based food classification system (NOVA).

Introduction: This study aimed to assess the nutritional quality of food and beverage products in Thailand by comparing four different food classification systems: the nutrient profiling-based food classification systems by the Department of Health (DOH), the WHO South-East Asia Region (WHO SEA), the Healthier Choice Logo (HCL), and the food-processing-based food classification system, NOVA. Methods: This study used secondary data from the Mintel Global New Products Database (N = 17,414). Food subgroups were classified differently based on these four systems. The DOH classified food products into three groups: Group A-healthy pass or meeting standard, Group B-not meeting the standard, and Group C-far below standard. The WHO SEA classified food products into two groups: marketing prohibited products and marketing permitted products. The HCL classified food products into two groups: eligible products for the logo; and ineligible products for the logo. The NOVA classified food products into four groups: unprocessed or minimally processed foods (MP), processed culinary ingredients (PCI), processed foods (P), and ultra-processed foods (UPF). Descriptive statistics (percentage and frequency) were used for analysis. Agreement analysis was conducted using Cohen's kappa statistic between each pair of food classification systems. Results: Of the total sample that could be classified by any of the four classification systems (n = 10,486), the DOH, the WHO SEA and the HCL systems classified products as healthy (Group A, marketing permitted or eligible for HCL logo) at 10.4, 11.1, and 10.9%, respectively. Only 5.6% were classified as minimally processed foods using NOVA and 83.1% were ultra-processed foods (UPFs). Over 50% of products classified as healthy by the nutrient profiling systems were classified as UPF according to the NOVA system. Products that were eligible for the HCL had the highest proportion of UPF products (84.4%), followed by the Group A products (69.2%) and the WHO marketing-permitted products (65.0%). Conclusion: A hybrid food classification approach taking both nutrients and food processing into account is needed to comprehensively assess the nutritional quality of food and beverage products in Thailand.

Socio-demographic and geographic disparities of population-level food insecurity during the COVID-19 pandemic in Thailand.

Introduction: This study investigated the prevalence of food insecurity, and the association between socio-demographic and geographic factors and food insecurity in Thailand during the COVID-19 pandemic. Methods: The study extracted data on 5,066 persons age 15 years or older from a nationally-representative sample survey of Thai households, conducted during June-December 2021. The respondents were asked about food insecurity, socio-demographic characteristics, debt, and role of the primary household food provider. Binary logistic regression analysis was used to investigate the association between the variables and food insecurity. Results: Of the total sample, 28.6% had food insecurity. The highest probability of having food insecurity (p < 0.001) was observed in persons age 15-29 years, with no formal education, and in the lowest quartile of income. The highest probability of having food insecurity was found among respondents residing in the northeast, which is the poorest and with the least development status among geographic regions in Thailand. Respondents who reported having onerous personal debt and being the main household food provider were 1.4 and 2.3 times as likely to have food insecurity as those with no debt and not being the main food provider, respectively (p < 0.001). Conclusion: This suggests that government attention is required in developing policies and strategies to improve food security through addressing the socio-economic determinants, and buffer the negative impact of a national crisis on diets. Investment to improve household income and raise the educational profile of the population is needed. Addressing the regional disparities in food security requires area-specific measures which target the most vulnerable population groups.

Identifying Opportunities for Strategic Policy Design to Address the Double Burden of Malnutrition through Healthier Retail Food: Protocol for South East Asia Obesogenic Food Environment (SEAOFE) Study.

Effective policies that address both the supply and demand dimensions of access to affordable, healthy foods are required for tackling malnutrition in South East Asia. This paper presents the Protocol for the South East Asia Obesogenic Food Environment (SEAOFE) study, which is designed to analyze the retail food environment, consumers' and retailers' perspectives regarding the retail food environment, and existing policies influencing food retail in four countries in South East Asia in order to develop evidence-informed policy recommendations. This study was designed as a mixed-methods sequential explanatory approach. The country sites are Malaysia, Indonesia, the Philippines, and Thailand. The proposed study consists of four phases. Phase One describes the characteristics of the current retail food environment using literature and data review. Phase Two interprets consumer experience in the retail food environment in selected urban poor communities using a consumer-intercept survey. This phase also assesses the retail food environment by adapting an in-store audit tool previously validated in higher-income countries. Phase Three identifies factors influencing food retailer decisions, perceptions, and attitudes toward food retail policies using semi-structured interviews with selected retailers. Phase Four recommends changes in the retail food environment using policy analysis and semi-structured interviews with key stakeholders. For the analysis of the quantitative data, descriptive statistics and multiple regression will be used, and thematic analysis will be used to process the qualitative data. This study will engage stakeholders throughout the research process to ensure that the design and methods used are sensitive to the local context.

Changes in Population-Level Consumption of Taxed and Non-Taxed Sugar-Sweetened Beverages (SSB) after Implementation of SSB Excise Tax in Thailand: A Prospective Cohort Study.

BACKGROUND: Thailand has implemented a sugar-sweetened beverage (SSB) excise tax since September 2017, but questions remain about changes in individual-level SSB consumption after tax implementation. This study aimed to analyze the change in taxed and non-taxed SSB consumption in the Thai population. METHOD: This cohort study was carried out in 2018 and 2019. A total of 5594 persons who participated in both years were included in the analysis. Descriptive and t-test analyses were carried out in order to identify the significance of the difference between taxed and non-taxed SSB consumption in 2018 and 2019. RESULTS: A lower mean ratio of average taxed SSBs consumed to average non-taxed SSBs consumed was found to be statistically significant (p = 0.001). That is, the decline in taxed SSB consumption is significantly greater than that of the non-taxed consumption. The greater reduction in taxed SSB consumption than the non-taxed SSB consumption was found to be significant among males, older persons, the lower-income population, and the unemployed. CONCLUSIONS: Overall, the current SSB tax has the capacity to successfully discourage consumption of SSBs with high sugar level. The decline in SSB consumption is, however, not found across all socioeconomic groups. Thresholds for SSB-tiered tax structure may have to be reviewed.

Strength and stress: Positive and negative impacts on caregivers for older adults in Thailand.

AIM: To understand the experiences of caregivers with older people living in Thailand, particularly as related to quality of life and stress management. METHOD: In-depth interviews with 17 family caregivers were conducted and then data were thematically analysed. RESULTS: Carers experience not only negative impacts but also positive impacts from caregiving. Negative impacts include emotional stress, financial struggles and worry due to lack of knowledge. Positive impacts include affection from care recipients, good relationships with caregivers before needing care themselves and encouragement from the wider community. Opportunities to show gratitude, build karma (from good deeds) and ideas shaped largely by Buddhist teachings result in positive experiences. Negotiating between the extremes of bliss and suffering and understanding suffering as a part of life may help carers manage their stress. CONCLUSIONS: Temples and centres for older people could be engaged to develop caregiving programs.