Continuing comprehensive assessment of population health gap is essential for effective health planning. This paper assessed changes in the magnitude and pattern of disease burden in Thailand between 1999 and 2004. It further drew lessons learned from applying the global burden of disease (GBD) methods to the Thai context for other developing country settings.

Background: Understanding the influence of healthy lifestyle behaviors on population-level life satisfaction is few known in the aging population, especially in low- and middle-income countries in Asia. The objective of our study was to analyse the association of lifestyle behaviors with life satisfaction in a nationally-representative sample of older persons in Thailand. Methods: The sample was obtained from a baseline phase of a nationally-representative, longitudinal survey of the Thai population. The study employed a multistage sampling technique to recruit study participants age 60 years or older from the five geographic regions of Thailand. In this study, 1460 adults age 60 years or older from 3670 households successfully completed face-to-face interviews by trained staff with a structured questionnaire. Information on self-reported life satisfaction, lifestyle behaviors, and sociodemographic characteristics were collected via survey questionnaire. Life satisfaction was assessed using the Scale with Life Satisfaction (SWLS) [1 to 7] response. Binary logistic regression analysis was used in investigating the association between lifestyle behaviors and life satisfaction. Results: The median age of the participants was 68.1 (60–93 years). The overall mean life satisfaction score was 24.2 ± 5.6. Regular physical activity (at least 30 min per day) and sufficient fruit and vegetable (FV) intake (at least 400 g per day) were significantly associated with older people’s life satisfaction (p ≤ 0.001 and p ≤ 0.10, respectively) after controlling all sociodemographic variables. Participants who had regular physical activity were 1.7 times as likely to be satisfied as those with less physical activity (95% CI 1.284–2.151). Participants with sufficient daily FV intake were 1.3 times as likely to be satisfied with life as those with insufficient daily FV (95% CI 0.994–1.723). Life satisfaction score also differed significantly by sociodemographic characteristics (sex, age, marital status, educational attainment) and presence of chronic disease. Conclusions: To improve the life satisfaction of older persons, taking into account sociodemographic characteristics of the population and absence of chronic disease, the need for promotion of healthy lifestyle behaviors, especially regular physical activity and sufficient FV intake, must be recommended.

Community gardening has been widely recognized as a multicomponent approach that has affected a broad range of health and well-being outcomes. The objective of this study was to investigate the association between community gardening and nutrition and physical health among adults. A systematic review and meta-analysis were conducted. Five electronic databases were searched systematically. Quality of included studies was appraised by several quality assessment tools related to the study design of each included article. Evidence from 19 articles was included (14 cross-sectional studies, 4 quasi-experimental studies and 1 case–control study). Although the majority of included studies appeared to have moderate quality, there existed weaknesses in the methods used, including low response rate and lack of confounder controls. Due to diversity in the measurement units, only body mass index (BMI) data could be pooled to perform meta-analysis. The results suggest that gardening had a significantly positive effect on BMI reduction. Subgroup analysis showed that quasi-experimental and case–control studies produced greater pooled effect size than those of cross-sectional design. Funnel plot and Egger’s test showed no significant evidence of publication bias. As robust evidence for the effect of community gardening on BMI reduction was found, this intervention should be integrated in health promoting policy to improve population health.

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.