Safely managed sanitation practice and childhood stunting among under five years old children in Myanmar.

In 2020, 149 million children under the age of five were estimated to be stunted globally. Around half of deaths among children under 5 years of age are related to under-nutrition. Objective of this study is to determine the association between safely managed sanitation and childhood stunting among under-five years old children in Myanmar. This cross-sectional analytical study was conducted in 16 townships across three regions and five states in Myanmar. Multiple logistic regressions analysis was performed to determine the associations. This study found that 327 (27.09%) under-five children were stunted among a total of 1207 children in Myanmar. Children with unsafely managed sanitation were 2.88 times more likely to be stunting compared with children who access to safely managed sanitation services (AOR = 2.88, 95% CI: 2.16 to 3.85; p-value <0.01). Other associated factors for childhood stunting were needs 1-15 minutes for water collection (AOR = 2.07, 95% CI: 1.46 to 2.94; p-value <0.01), 15-60 minutes for water collection times (AOR = 1.55, 95% CI: 1.08 to 2.23; p-value 0.02), improper waste water disposal (AOR = 1.99, 95% CI: 1.47 to 2.70; p-value <0.01), boys children (AOR = 4.49, 95% CI: 3.30 to 6.12; p-value <0.01), did not take vitamin A supplements(AOR = 1.64, 95% CI: 1.22 to 2.20; p-value <0.01), mothers height shorter than 153.4cm (AOR = 1.94, 95% CI: 1.45 to 2.58; p-value <0.01), and the lower minimal diet diversity (AOR = 1.47, 95% CI: 1.08 to 2.01; p-value 0.02). More access to safely managed sanitation facilities, technical sharing for proper waste water disposal, promoting household water supply system, health promotion for children's diet eating pattern, and regular support for Vitamin A supplementation are critical to reduce childhood stunting among children under the age of five in Myanmar.

Spatial association and modelling of under-5 mortality in Thailand, 2020.

Under-5 mortality rate (U5MR) is a key indicator of child health and overall development. In Thailand, despite significant steps made in child health, disparities in U5MR persist across different provinces. We examined various socio-economic variables, health service availability and environmental factors impacting U5MR in Thailand to model their influences through spatial analysis. Global and Local Moran's I statistics for spatial autocorrelation of U5MR and its related factors were used on secondary data from the Ministry of Public Health, National Centers for Environmental Information, National Statistical Office, and the Office of the National Economic and Social Development Council in Thailand. The relationships between U5MR and these factors were modelled using ordinary least squares (OLS) estimation, spatial lag model (SLM) and spatial error model (SEM). There were significant spatial disparities in U5MR across Thailand. Factors such as low birth weight, unemployment rate, and proportion of land use for agricultural purposes exhibited significant positive spatial autocorrelation, directly influencing U5MR, while average years of education, community organizations, number of beds for inpatients per 1,000 population, and exclusive breastfeeding practices acted as protective factors against U5MR (R2 of SEM = 0.588).The findings underscore the need for comprehensive, multi-sectoral strategies to address the U5MR disparities in Thailand. Policy interventions should consider improving socioeconomic conditions, healthcare quality, health accessibility, and environmental health in high U5M areas. Overall, this study provides valuable insights into the spatial distribution of U5MR and its associated factors, which highlights the need for tailored and localized health policies and interventions.

Spatial association between socio-economic health service factors and sepsis mortality in Thailand.

Sepsis is a significant global health issue causing organ failure and high mortality. The number of sepsis cases has recently increased in Thailand making it crucial to comprehend the factors behind these infections. This study focuses on exploring the spatial autocorrelation between socio-economic factors and health service factors on the one hand and sepsis mortality on the other. We applied global Moran's I, local indicators of spatial association (LISA) and spatial regression to examine the relationship between these variables. Based on univariate Moran's I scatter plots, sepsis mortality in all 77 provinces in Thailand were shown to exhibit a positive spatial autocorrelation that reached a significant value (0.311). The hotspots/ high-high (HH) clusters of sepsis mortality were mostly located in the central region of the country, while the coldspots/low-low (LL) clusters were observed in the north-eastern region. Bivariate Moran's I indicated a spatial autocorrelation between various factors and sepsis mortality, while the LISA analysis revealed 7 HH clusters and 5 LL clusters associated with population density. Additionally, there were 6 HH and 4 LL clusters in areas with the lowest average temperature, 4 HH and 2 LL clusters in areas with the highest average temperature, 8 HH and 5 LL clusters associated with night-time light and 6 HH and 5 LL clusters associated with pharmacy density. The spatial regression models conducted in this study determined that the spatial error model (SEM) provided the best fit, while the parameter estimation results revealed that several factors, including population density, average lowest and highest temperature, night-time light and pharmacy density, were positively correlated with sepsis mortality. The coefficient of determination (R2) indicated that the SEM model explained 56.4% of the variation in sepsis mortality. Furthermore, based on the Akaike Information Index (AIC), the SEM model slightly outperformed the spatial lag model (SLM) with an AIC value of 518.1 compared to 520.

Influence of socioeconomics and social marketing on smoking in Thailand: A National Survey in 2017.

INTRODUCTION: Smoking is one of the risk factors for noncommunicable diseases and is harmful to both active and passive smokers. This study aimed to identify the influence of socioeconomic and environmental issues on smoking in Thailand. METHODS: The study is a secondary dataset analysis of cross-sectional data using data from the 2017 Smoking and Drinking Behaviors Survey of the National Statistical Office of Thailand. The survey collected the data among 88689 participants using a structured questionnaire. The multi-level analysis was used to identify the association between socioeconomics, environmental factors, social marketing, and smoking while controlling for the effects of covariates and presenting the adjusted odds ratio (AOR) and its 95% confidence interval (CI). RESULTS: Among 88689 respondents, the prevalence of smoking was 18.2% (95% CI: 18.00-18.51). Factors that were associated with smoking were: exposure to secondhand smoke in residential settings (AOR=15.31; 95% CI: 14.47-16.20) and alcohol regular drinking (AOR=4.44; 95% CI: 4.14-4.76). In addition, social marketing factors include: disagreeing or being unsure of the opinions that cigarettes should be categorized as harmful goods (AOR=3.15; 95% CI: 2.94-3.37); not having been exposed to the disadvantages of smoking in social media (AOR=1.51; 95% CI: 1.43-1.61); not having been exposed to the disadvantages of smoking in newspapers, television, radio, advertisements, or other sources (AOR=1.46; 95% CI: 1.37-1.62); having never seen the warning cautions or having seen them but ignored the hazardous effect (AOR=4.81; 95% CI: 4.5-4.9); and having ever seen the warning cautions/ever seen but ignore the hazardous effect (AOR=4.81; 95% CI: 4.54-5.09), and ever seen advertisements or billboards which motivate smoking in various places (AOR=1.33; 95% CI: 1.24-1.42). CONCLUSIONS: Smoking and secondhand smoke are crucial problems that affect health. In addition, related sectors should help to develop a policy recommendation to reduce the smoking rate through social marketing. Strict and comprehensive policies and laws on non-smoking in work places, public spaces, and homes, will help to reduce secondhand smoke exposure among non-smokers.

Spatial pattern and heterogeneity of chronic respiratory diseases and relationship to socio-demographic factors in Thailand in the period 2016 to 2019.

Chronic respiratory diseases (CRDs) constitute 4% of the global disease burden and cause 4 million deaths annually. This cross-sectional study used QGIS and GeoDa to explore the spatial pattern and heterogeneity of CRDs morbidity and spatial autocorrelation between socio-demographic factors and CRDs in Thailand from 2016 to 2019. We found an annual, positive, spatial autocorrelation (Moran's I >0.66, p<0.001) showing a strong clustered distribution. The local indicators of spatial association (LISA) identified hotspots mostly in the northern region, while coldspots were mostly seen in the central and north-eastern regions throughout the study period. Of the socio-demographic factors, the density of population, households, vehicles, factories and agricultural areas, correlated with the CRD morbidity rate, with statistically significant negative spatial autocorrelations and coldspots in the north-eastern and central areas (except for agricultural land) and two hotspots between farm household density and CRD in the southern region in 2019. This study identified vulnerable provinces with high risk of CRDs and can guide prioritization of resource allocation and provide target interventions for policy makers.

Spatial autocorrelation and heterogenicity of demographic and healthcare factors in the five waves of COVID-19 epidemic in Thailand.

A study of 2,569,617 Thailand citizens diagnosed with COVID-19 from January 2020 to March 2022 was conducted with the aim of identifying the spatial distribution pattern of incidence rate of COVID-19 during its five main waves in all 77 provinces of the country. Wave 4 had the highest incidence rate (9,007 cases per 100,000) followed by the Wave 5, with 8,460 cases per 100,000. We also determined the spatial autocorrelation between a set of five demographic and health care factors and the spread of the infection within the provinces using Local Indicators of Spatial Association (LISA) and univariate and bivariate analysis with Moran's I. The spatial autocorrelation between the variables examined and the incidence rates was particularly strong during the waves 3-5. All findings confirmed the existence of spatial autocorrelation and heterogenicity of COVID-19 with the distribution of cases with respect to one or several of the five factors examined. The study identified significant spatial autocorrelation with regard to the COVID-19 incidence rate with these variables in all five waves. Depending on which province that was investigated, strong spatial autocorrelation of the High-High pattern was observed in 3 to 9 clusters and of the Low-Low pattern in 4 to 17 clusters, whereas negative spatial autocorrelation was observed in 1 to 9 clusters of the High-Low pattern and in 1 to 6 clusters of Low-High pattern. These spatial data should support stakeholders and policymakers in their efforts to prevent, control, monitor and evaluate the multidimensional determinants of the COVID-19 pandemic.

Spatial association of socio-demographic, environmental factors and prevalence of diabetes mellitus in middle-aged and elderly people in Thailand.

The burden of diabetes mellitus (DM), one of the major noncommunicable diseases (NCDs), has been significantly rising globally. In the Asia-Pacific region, Thailand ranks within the top ten of diabetic patient populations and the disease has increased from 2.3% in 1991 to 8.0% in 2015. This study applied local indicators of spatial association (LISA) and spatial regression to examine the local associations in Thailand with night-time light, spatial density of alcohol/convenience stores, concentration of elderly population and prevalence of DM among middle-aged and elderly people. Univariate LISA identified the statistically significant cluster of DM prevalence in the upper north-eastern region. For multivariate spatial analysis, the obtained R2 values of the spatial lag model (SLM) and spatial error model (SEM) were 0.310 and 0.316, respectively. These two models indicated a statistical significant association of several sociodemographic and environmental characteristics with the DM prevalence: food shops (SLM coefficient = 9.625, p<0.001; SEM coefficient = 9.695, p<0.001), alcohol stores (SLM coefficient = 1.936, p<0.05; SEM coefficient = 1.894, p<0.05), population density of elderly people (SLM coefficient = 0.156, p<0.05; SEM coefficient = 0.188, p<0.05) and night-time light density (SLM coefficient = -0.437, p<0.001; SEM coefficient = -0.437, p<0.001). These findings are useful for policymakers and public health professionals in formulating measures aimed at reducing DM burden in the country.

Attitudes and Beliefs of Cancer Patients Demanding Medical Cannabis Use in North Thailand.

OBJECTIVE: Cannabis is therapeutic for numerous medical conditions. The demand for medical cannabis (MC) use in cancer patients is increasing, even with many patients lacking proper knowledge about MC. Therefore, this study aimed to describe the attitudes and beliefs of cancer patients demanding MC use in northern Thailand. METHODS: This cross-sectional study administered multistage random sampling to recruit 565 cancer patients who indicated that they demand MC use in northern Thailand. These patients responded to a self-administered structured questionnaire about their feelings on MC. We used descriptive statistics, including frequency and percentage, to describe categorical data, whereas we used mean and standard deviation for continuous data. RESULTS: Out of a total of 565 participants, 59.7% were female, 40.3% were male, and 46.4% were middle-aged adults, with a mean age of 58.3 ± 13.0 years. Of these participants who demanded the use of MC, the top three most common types of cancers were breast cancer (27.8%), colorectal cancer (21.4%), and lung cancer (10.6%). Most of the participants (51.2%) had early-stage cancer, and 46.5% received chemotherapy. We found that patients who demanded MC use had a generally positive attitude (53.3%). Among the patients who required MC use, 55.4% believed that it would help relieve side effects caused by modern treatments, cure cancer (38.8%), relieve suffering from cancer symptoms (30.6%), and cause one to live longer and to improve their health (16.3%). Most patients' decisions regarding MC use (45.3%) demanded MC use after receiving modern treatments, and 95.6% demanded MC use with modern treatment. Overall, these patients (65.3%) needed MC from the MC clinic in the Government Hospital. CONCLUSIONS: This study highlights the attitudes and beliefs towards MC use among cancer patients, their positive expectations of the outcome, and the need for MC use.

Factors Influencing Demand for Medical Cannabis Use among Cancer Patients in the North of Thailand.

OBJECTIVE: Cancer treatments often cause side effects. Cannabis is a plant that has been studied and used to treat and relieve side effects from modern medicine. Medical cannabis (MC) was legalized in Thailand in 2019 with limited research on demand for its use. Therefore, this study aimed to identify factors associated with demand for MC use among cancer patients in the North of Thailand. METHODS: This analytical cross-sectional study administered a multistage random sampling to recruit 1,284 cancer patients in northern Thailand to response a self-administered structured questionnaire. Generalized Linear Mixed Model (GLMM) was used to identify the determinants of demand for MC use among the population, presented adjusted odds ratios (adj.OR), 95% confidence intervals (95% CI), and p-values. RESULT: Nearly half of the respondents reported demand to use MC (44.0%). The factors that were significantly associated with demand to use MC included had high levels of health literacy about MC (adj.OR = 5.70; 95% CI: 4.08 to 7.96), higher levels of social support (adj.OR =5.50; 95% CI: 3.60 to 8.39), positive attitudes toward MC use (adj.OR = 2.56; 95% CI: 1.83 to 3.56), aged less than 30 (adj.OR =1.89; 95% CI: 1.21 to 2.93), diagnosis with cancerfor more than 12 months ago (adj.OR =1.73; 95% CI: 1.19 to 2.52) when controlling effect of other covariates. CONCLUSION: We found substantial demand for MC use among cancer patients. Health literacy,social support, attitudes about MC, age, and duration of having cancer were significantly associated with demand for MC use. Therefore, improving health literacy and social support, especially among older cancer patients, could help increasing demand for MC as a complementary medicine to treat cancers.

Association of comorbidity between Opisthorchis viverrini infection and diabetes mellitus in the development of cholangiocarcinoma among a high-risk population, northeastern Thailand.

BACKGROUND: Cholangiocarcinoma (CCA) is a category of lethal hepatobiliary malignancies. Previous studies have found that Opisthorchis viverrini infection and diabetes mellitus (DM) are closely correlated with CCA. However, few studies have discussed the association of CCA with a combination of both O. viverrini infection and DM. This study aimed to assess the correlation of CCA with various combinations of O. viverrini infection and DM among a high-risk population in northeastern Thailand. METHODOLOGY: This study included participants from 20 provinces in northeastern Thailand who had been screened for CCA in the Cholangiocarcinoma Screening and Care Program (CASCAP) between 2013 and 2019. Histories of O. viverrini infection and DM diagnosis were obtained using a health questionnaire. CCA screening used ultrasonography with a definitive diagnosis based on histopathology. Multilevel mixed-effects logistic regression was performed to quantify the association, which is presented as adjusted odds ratios (aOR) and their 95% confidence intervals (CI). PRINCIPAL FINDINGS: Overall, 263,776 participants were included, of whom 32.4% were infected with O. viverrini, 8.2% were diagnosed with DM, and 2.9% had a history of both O. viverrini infection and DM. The overall rate of CCA was 0.36%. Of those infected with O. viverrini, 0.47% had CCA; among those with DM, 0.59% had CCA and among those infected with O. viverrini and had DM, 0.73% had CCA. Compared with participants who were not infected with O. viverrini and were non-DM, the aOR for those infected with O. viverrini and with DM was 2.36 (95% CI: 1.74-3.21; p-value <0.001). CONCLUSIONS: The combination of O. viverrini infection and DM was highly associated with CCA, and these two conditions had a combined effect on this association that was greater than that of either alone. These findings suggest that CCA screening should have a strong focus on people with a combination of O. viverrini infection and DM.

Determinants of opioid use among adult males in Myanmar: A case-control study.

BACKGROUND: Opioid abuse affects not only user's health but also productivity, security, and health-care costs. Better understanding about the risk factors of opioid use is in need in Myanmar as the country has heavy burdens of opioid abuse. OBJECTIVES: The present study aimed to identify the determinants of opioid use among adult males in Kachin State, Myanmar. METHODS: This case-control study was conducted in Myitkyina city of Kachin State in August 2019. The ratio of case and control was 1:3, of which there were 109 opioid users and 327 controls who never used illicit drugs. Inclusion criteria for the participants were males of 18 years' old or above. Cases were recruited with the help of a nongovernmental organization, whereas controls were randomly selected from household registration of local government. Data were collected using face-to-face structured questionnaire interview. Multivariable logistic regressions were used to identify the determinants. RESULTS: The factors associated with opioids use among males in Kachin state had peers who used opioids (adjusted odds ratio [AOR] = 21.67, 95% confident interval [CI]: 10.41-45.09), smoking cigarette or cheroot (AOR = 7.5, 95% CI: 4.03-13.94), aged 25 years or older (AOR = 3.46, 95% CI: 1.73-6.95), and were non-Kachin ethnic (AOR = 2.52, 95% CI: 1.36-4.64). CONCLUSION: The study indicated that peers had the strongest influence on opioid use, followed by smoking habits as well as age and ethnicity. Effective prevention programs are essential for vulnerable groups.

The association of socio-demographic and environmental factors on childhood diarrhea in Cambodia.

Background: Diarrhea is still the leading cause of childhood death worldwide, as well as a major cause for concern in developing countries. This study was conducted to investigate the factors related to childhood diarrhea in Cambodia. Methods: A cross-sectional study was conducted using the combination of two datasets from the Cambodia Demographic and Health Survey 2014. A generalized linear mixed model was used to analyze the determinant factors of childhood diarrhea. Results: The surveys included 2,828 children, aged 12 to 35 months. The prevalence of diarrhea was 16.44% (95% CI: 14.72%-18.31%). Factors with statistically significant associations with childhood diarrhea in Cambodia were: maternal  unemployment, compared with being in employment (AOR = 1.43; 95% CI: 1.14-1.78); the child being male (AOR = 1.25; 95%CI: 1.02-1.53); the presence of unimproved toilet facilities (AOR = 1.17; 95%CI: 1.05-1.31) compared with improved toilet facilities; and unhygienic disposal of children's stools (AOR = 1.32; 95%CI: 1.06-1.64) compared with hygienic disposal of children's stools when controlling for other covariates. Both maternal age (one year older; AOR = 0.85; 95%CI: 0.78- 0.93) and child age (one month older; AOR = 0.86; 95%CI: 0.78-0.94) had significant negative associations with the occurrence of childhood diarrhea. Conclusion: Childhood diarrhea remains a public health concern in Cambodia. The probability of diarrhea occurring is shown to be increased by maternal unemployment, the sex of the child being male, lack of provision of improved toilet facilities, and the unhygienic disposal of children's stools; whereas increasing maternal age and child's age were associated with a reduced chance of diarrhea occurring. On the basis of these results, we recommend provision of programs focusing on reducing diarrhea through the construction of improved toilet facilities and the promotion of behavior to improve hygiene, specifically targeting younger mothers.

Incidence and risk factors for complications after definitive skeletal fixation of lower extremity in multiple injury patients: a retrospective chart review.

Background: The management of multiple injuries is complex. Type and timing of treatment for lower extremity fractures is a controversial subject. Although many studies have demonstrated the safety and effectiveness of early treatment, others have suggested that early definitive stabilization may cause complications, especially with chest and head injuries. The aim of this study was to determine the complications and effects of timing of fixation, and investigate risk factors for complications in multiple injuries patients with lower extremity fractures. Methods: A Retrospective chart review from Khon Kaen Trauma Registry between 2008 and 2015 were collected. All major complications were identified and collected for example acute respiratory distress syndrome (ARDS), acute kidney injury (AKI) and sepsis.  The time to definitive skeletal fixation from initial injury was identified and analyzed with multiple logistic regression. Results: 1224 multiple injuries patients with lower extremity fractures were identified. The mean age was 34±19.5 years, 74.4% were male and 25.6% female. The mean time from initial injury to definitive operation was 55.7±53.9 hours. Complications occurred with 178 patients (14.5%), the most common of which were pneumonia, ARDS and AKI. After adjusting for sex, severity of injury, we found that the operation within 24-48 hours complication was 6.67 times less common than in the early treatment group (less than 24 hours) (95% CI: 3.03 to 10.00, P-value< 0.001). Conclusions: About 15% of the multiple injuries patients with lower extremity fracture had major complications. The optimal time for definitive fixation in lower extremity fractures to reduce complications was within 24-48 hours. We found that if we operated too early (before 24 hours) or more than 48 hours after the injury it could increase the morbidity and mortality.

Prevalence of hypertension in Thailand: Hotspot clustering detected by spatial analysis.

Spatial pattern detection can be a useful tool for understanding the geographical distribution of hypertension (HT). The aim of this study was to apply the technique of local indicators of spatial association statistics to examine the spatial patterns of HT in the 76 provinces of Thailand. Previous studies have demonstrated that socioeconomic status (SES), economic growth, population density and urbanization have effects on the occurrence of disease. Research has suggested that night-time light (NTL) can be used as a proxy for a number of variables, including urbanization, density, economic growth and SES. To date, there has not been any study on spatial patterns of HT and there is no information on how NTL might correlate with HT. Therefore, this study has investigated NTL as a parameter for detection of hotspots of HT in Thailand. It was found that HT clusters occurred in Bangkok and in metropolitan areas. In addition, significantly low-rate clusters were seen in some provinces in the Northeast and also in southern provinces. These findings should facilitate control and prevention of HT and, therefore, serve as support for researchers, decision-makers, academics and public health officials to propose more sound and effective strategies for the control of HT in Thailand and elsewhere.

Socioeconomic disparities and chronic respiratory diseases in Thailand: The National Socioeconomics Survey.

This study aimed to determine the association between socioeconomic determinants and Chronic Respiratory Diseases (CRDs) in Thailand. The data were used from the National Socioeconomics Survey (NSS), a cross-sectional study conducted by the National Statistical Office (NSO), in 2010 and 2012. The survey used stratified two-stage sampling to select a nationally representative sample to respond to a structured questionnaire. A total of 17,040 and 16,905 individuals in 2010 and 2012, respectively, were included in this analysis. Multiple logistic regressions were used to identify the association between socioeconomic factors while controlling for other covariates. The prevalence of CRDs was 3.81% and 2.79% in 2010 and 2012, respectively. The bivariate analysis indicated that gender, family size, geographic location, fuels used for cooking and smoking were significantly associated with CRDs in 2010, whereas education, family size, occupation, region, geographic location, and smoking were significantly associated with CRDs in 2012. Both in 2010 and 2012, the multiple logistic regression indicated that the odds of having CRDs were significantly higher among those who lived in urban areas, females, those aged ≥41-50 or ≥61 yr old, and smokers when controlling for other covariates. However, fuels used for cooking, wood and gas, are associated with CRDs in 2010.

Development and validation of a work-related low back pain risk-assessment tool for sugarcane farmers.

This cross sectional study developed and validated a LBP risk-factor screening scale for use with sugarcane farmers. The scale was developed from a synthesis of LBP risk factors, pretested with 30 sugarcane farmers and administered to five hundred and forty sugarcane farmers to test its psychometric properties. Results indicated construct validity for three factors; physical factors (19 items) with factor loadings of 0.406 to 0.881 and communalities between 0.471 and 0.991; psychological factors (7 items) with factor loadings of 0.635 to 0.821 and communalities between 0.444 and 0.714, and third, working environment factors (2 items), with factor loadings between 0.345 and 0.347 and communalities between 0.946 and 0.953. The content validity index was 0.90 with reliability index of 0.87. Sensitivity, specificity, positive predictive value, negative predictive value and accuracy were 82.02%, 30.49%, 62.65% and 54.40% respectively. The area under the receiver operating characteristic was 0.56. The scale's high specificity and sensitivity and comprehensive three risk-factor dimensions should make it a very useful screening tool in primary health care for early detection of LBP and for LBP risk-reduction and prevention advice. Future studies could focus on confirming content and predictive validity in other settings to assess generality of its usage.

Burden of musculoskeletal disorders among registered nurses: evidence from the Thai nurse cohort study.

BACKGROUND: Musculoskeletal disorders (MSDs) are a major public health problem among registered nurses (RNs) in Thailand. Information on their burdens at a national level is limited. This study estimated the prevalence of MSDs among RNs using the 2009 Thai Nurse Cohort, a nationally representative sample of RNs in Thailand. METHODS: This study is part of the first wave survey of the Thai Nurse Cohort Study (TNCS) conducted in 2009. Members of the cohort consisted of 18,756 RNs across Thailand. A 13-page self-administered questionnaire was sent to participants where MSDs were measured by self-reported answers to questions related to experiencing MSDs during a previous year. However, 1070 RNs were excluded from this study since they were unemployed during a previous year, therefore the final sample size was 17,686 RNs. A 12-month prevalence of MSDs and its 95% confidence interval (95% CI) were estimated based on normal approximation to binomial distribution. Chi-square test for trend was used. RESULTS: Of the 17,686 RNs, 47.8% (95% CI: 47.0-48.5) reported having MSDs during the previous 12 months. The prevalence of MSDs significantly increased with age, body mass index, and working duration (all P < 0.001). Compared to the non-MSD group, RNs with MSDs had a higher proportion who perceived MSDs as a long-term, chronic medical condition (78.1% vs 20.7%; p < 0.001), being currently on medication (49.4% vs 14.7%; p < 0.001), using pain relief medication almost every day (9.0% vs 1.9%; p < 0.001), experiencing sickness absence (15.7% vs 1.1%; p < 0.001), seeking medical specialist consultations (odds ratio, OR 2.2; 95% CI: 2.0-2.3; p < 0.001), and seeking alternative medications (OR 2.5; 95% CI: 2.3-2.7; p < 0.001). CONCLUSIONS: Musculoskeletal disorders affected almost half of the RNs in Thailand annually. They placed a major healthcare burden and were a major cause of working days lost due to sick leaves, diminished productivity and quality of patient care. More attention should be paid to the prevention and effective management of MSDs in RNs in Thailand. Further study on ergonomics related to MSDs and its prevention are needed.

Quality of Life, Mental Health and Educational Stress of High School Students in the Northeast of Thailand.

INTRODUCTION: Majority of high school students in Thailand aim to study at universities. Therefore, they spend a lot of time studying in both classrooms and tutorial classes, that could cause stress, health problems and deteriorate their Quality Of Life (QOL). However, there has been no study on these issues in Thai context. AIM: To describe the status of QOL, mental health, educational stress, well-being and determine factors associated with QOL among high school students in the Northeast of Thailand. MATERIALS AND METHODS: This cross-sectional study was conducted in the Northeast of Thailand among 1,112 students of grade 10th, 11th and 12th. Multistage random sampling was used to select high schools in 5 provinces. A self-administered questionnaire was used to assess QOL, educational stress, anxiety, depression and well-being. The association between the covariates was observed by using Generalized Linear Mixed (logistic regression) Model (GLMM). RESULTS: The prevalence of high level of QOL was 36% (95%CI: 32.30 to 41.69); whereas, 26.18% (95% CI: 16.72 to 35.63) had high level of educational stress and 16.41% (95% CI: 2.20 to 30.71) had severe anxiety. Prevalence of depression was 18.55% (95%CI: 9.86 to 27.23) and low level of well-being was 13.41% (95% CI: 0.18 to 27.14). The factors significantly associated with high QOL were; not having depression (Adj. OR= 3.07; 95%CI: (2.23 to 4.22); p<0.001), had high level of general well-being (Adj. OR=3.19; 95% CI:1.99 to 5.09; p<0.001) and had low to moderate level of anxiety (OR=1.60; 95%CI:1.01 to 2.67). CONCLUSION: Most of the high school students had low to moderate levels of QOL, educational stress and anxiety. Depression, anxiety and general well-being had influences on QOL of high school students.

Accessibility to health services among migrant workers in the Northeast of Thailand.

Background. There is an increasing trend of trans-border migration from neighboring countries to Thailand. According to human rights laws, everyone must have access to health services, even if they are from other nationalities.  However, a small minority of health personnel in Thailand discriminate against immigrant workers, as they are from a lower financial bracket. Methods. This cross-sectional study aims to determine the prevalence of accessibility to health services and factors associated with access to health services among migrant workers who work along the Northeast border of Thailand. A total of 621 legal migrant workers were randomly selected to respond to a structured questionnaire about the satisfaction of health services, using the 5As of health services: availability; accessibility; accommodation; affordability; acceptability.  Associations between independent variables and access to health services were analysed   using multiple logistic regression analysis. Results. The results indicated that the majority of these registered migrant workers were female (63.9%) with an average age of 29± 8.61 years old, and were married (54.3%). Most of the workers worked at restaurants (80%), whereas only 20% were in agricultural sectors. Only 14% (95% CI: 11-17%) of migrant workers had access to health services. The factors that were significantly associated with accessibility to health service experienced ill health during the past one year (OR = 2.48; 95%CI; 1.54-3.97; p-value<0.001) ; have been married (OR = 2.32; 95% CI: 1.40 - 3.90; p-value <0.001). Conclusions. Most of the migrant workers could not access health services. The ones who did access health services were married or ill.

Association between Socioeconomic Status and Diabetes Mellitus: The National Socioeconomics Survey, 2010 and 2012.

INTRODUCTION: The prevalence of Diabetes Mellitus (DM) is increasing, globally. However, studies on the association between Socioeconomic Status (SES) factors and DM have mostly been conducted in specific areas with rather small sample sizes or not with nationally representative samples. Their results have also been inconclusive regarding whether SES has any influence on DM or not. AIM: To determine the association between SES and DM in Thailand. MATERIALS AND METHODS: This study utilized the data from the National socioeconomics survey, a cross-sectional study conducted by the National Statistical Office (NSO) in 2010 and 2012. A total of 17,045 and 16,903 participants respectively who met the inclusion criteria were included in this study. The information was collected by face-to-face interview with structured questionnaires. Multilevel mixed-effects logistic regression analysis was performed to determine the potential socioeconomic factors associated with DM. RESULTS: The prevalence of DM was 3.70% (95% CI: 3.36 to 4.05) and 8.11% (95%CI: 6.25 to 9.74) in 2010 and 2012 respectively and the prevalence of DM in 2012 was 1.36 times (95% CI: 1.25 to 1.48) when compared with 2010. The multilevel mixed-effects logistic regression observed that odds of having DM were significantly higher among those who aged 55-64 years old in 2010 and 65 years old or greater in 2012 (ORadj = 18.13; 95%CI: 9.11 to 36.08, ORadj 31.69; 95%CI: 20.78 to 48.33, respectively), females (ORadj = 2.09; 95%CI: 1.66 to 2.62, ORadj = 1.77; 95%CI: 1.54 to 2.05, respectively), and had lower education attainment (ORadj = 5.87; 95%CI: 4.70 to 7.33, ORadj= 1.22; 95%CI: 1.04 to 1.45, respectively) were also found to be associated with DM . CONCLUSION: The study indicated that SES has been associated with DM. Those with female gender, old age and low educational attainment were vulnerable to DM.