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Background: Mental illness poses a substantial global public health challenge, including in Thailand, where exploration of access to mental health services is limited. The spatial and temporal dimensions of mental illness in the country are not extensively studied, despite the recognized association between poor mental health and socioeconomic inequalities. Gaining insights into these dimensions is crucial for effective public health interventions and resource allocation. Methods: This retrospective study analyzed mental health service utilization data in Thailand from 2015 to 2023. Temporal trends in annual numbers of individuals visiting mental health services by diagnosis were examined, while spatial pattern analysis employed Moran's I statistics to assess autocorrelation, identify small-area clustering, and hotspots. The implications of our findings for mental health resource allocation and policy were discussed. Results: Between 2015 and 2023, mental health facilities documented a total of 13,793,884 visits. The study found anxiety, schizophrenia, and depression emerged as the top three illnesses for mental health visits, with an increase in patient attendance following the onset of the COVID-19 outbreak. Spatial analysis identified areas of significance for various disorders across different regions of Thailand. Positive correlations between certain disorder pairs were found in specific regions, suggesting shared risk factors or comorbidities. Conclusions: This study highlights spatial and temporal variations in individuals visiting services for different mental disorders in Thailand, shedding light on service gaps and socioeconomic issues. Addressing these disparities requires increased attention to mental health, the development of appropriate interventions, and overcoming barriers to accessibility. The findings provide a baseline for policymakers and stakeholders to allocate resources and implement culturally responsive interventions to improve mental health outcomes. [ABSTRACT FROM AUTHOR]

Background: As the anatomical variations of the foot, enlarged peroneal tubercle (EPT) and accessory anterolateral talar facet (AALTF) have attracted the attention of foot surgeons in recent years. However, EPT and AALTF have not been examined for a relationship with calcaneus spur (CS) as a common osteophyte. Methods: The subjects were 369 individuals who died in northeastern Thailand and were preserved as skeletal specimens. The authors examined for the presence of left and right EPT, AALTF, and calcaneus spur (CS). We divided the EPT (+) group with EPT and the EPT (-) group without it and also divided the AALTF (+) group with AALTF and the AALTF (-) group without it. The age at death and the presence of CS were compared statistically between the EPT (+) and EPT (-) groups and between the AATLF (+) and AALTF (-) groups. Results: Out of the total 369 cases, EPT was found in 117 cases (31.7%), AALTF was positive in 91 cases (24.7%), and CS was found in 194 cases (52.3%). In comparison between EPT (+) and EPT (-) groups, CS was significantly higher (p < 0.0001) in the EPT (+) group, but there was no significant difference in age at death. In comparison between AALTF (+) and AALTF (-) groups, there was no significant difference in age at death or CS. Conclusion: This study showed a strong relationship between EPT and CS, and the prevalence of EPT and AALTF by age in Thailand was first reported. We believe it helps to know the pathogenesis and biomechanism of EPT and AALTF. Trial registration: Not applicable. [ABSTRACT FROM AUTHOR]

INTRODUCTION Smoking stands as a primary contributor to preventable deaths globally and is linked to an increased risk of developing kidney failure and other diseases. A few studies have focused on the negative correlation between serum cotinine and estimated glomerular filtration rate (eGFR), indicating decreased kidney function. This study investigated the associations between urinary cotinine metabolite concentration and serum eGFR among active smokers in urban households. METHODS This was a cross-sectional study of active smokers in urban households' community Bangkok, Thailand from January to April 2023. The study involved 85 participants aged ≥18 years who were active smokers. Both urinary cotinine and serum eGFR concentrations were used as biomarkers. Independent sample t-tests were used to compare the urinary cotinine metabolite based on differences in the characteristic variable. We used multiple linear regression to test the association between cotinine metabolite and characteristics variables. Spearman's analysis was used to test the correlation between cotinine metabolite and eGFR concentration. RESULTS The association between urinary cotinine metabolite and serum eGFR concentration decreased with increasing cotinine concentrations (r= -0.223, p=0.041), suggesting a decline in kidney function. However, this study found no significant difference between urinary cotinine metabolite and characteristic variables (p>0.05). Additionally, those who smoked for ≥10 years (117.40 ± 89.80 ng/mL), smoked ≥10 cigarettes per day (117.40 ± 89.80 ng/mL) and used conventional cigarettes (124.53 ± 115.10 ng/mL). The results of the multiple linear regression models analysis indicated that those who were smokers for ≥10 years (β=0.076; 95% CI: -31.575--59.715) and those who were smoked ≥10 cigarettes/day (β=0.126; 95% CI: -65.636--18.150) were not associated with urinary cotinine metabolite level. CONCLUSIONS This study shows that the urinary cotinine metabolite level is associated with serum eGFR concentration among active smokers in urban households. The current study suggests that clinical identification and a prospective cohort study are needed before robust conclusions about how tobacco affects kidney efficiency. [ABSTRACT FROM AUTHOR]

Introduction: Bystander cardiopulmonary resuscitation (CPR) reduces mortality from out-of-hospital cardiac arrest. The willingness to perform CPR (W-CPR) is also critical. Uncertain effects of the coronavirus disease 2019 (COVID-19) pandemic on W-CPR were reported. Our objectives aim to examine W-CPR during the COVID-19 pandemic, including the influence of the bystander-victim relationship, bystander characteristics, and CPR background on the W-CPR of laypeople and healthcare providers (HCPs). Methods: A cross-sectional online survey was conducted between August 2020 and November 2020 among Thai laypeople and HCPs. A structured questionnaire was given to volunteers as an online survey. We recorded W-conventional CPR (W-C-CPR), W-compression-only CPR (W-CO-CPR), chest compression, automated external defibrillator (AED), mouth-to-mouth, face shield, and pocket mask ventilation on family members (FMs), acquaintances, and strangers during the study (pandemic) and in nonpandemic situation and analyzed. Results: We included 419 laypeople and 716 HCPs. During the pandemic, laypeople expressed less willingness in all interventions (P < 0.05) except W-CO-CPR in FMs and AED in FMs and acquaintances. HCPs were less willing to any interventions (P < 0.05). Laypeople showed comparable W-C-CPR and W-CO-CPR between FMs and acquaintances but less among strangers (P < 0.05). HCPs' W-CPR differed significantly depending on their relationship (P < 0.05), except W-CO-CPR between FMs and acquaintances. CPR self-efficacy, single marital status, CPR experience, and HCPs reported higher W-CO-CPR in FMs. Conclusion: Participants were less W-CPR during the COVID-19 pandemic on all recipients (laypeople: 2.8%-21.0%, HCPs: 7.6%-31.2%), except for laypeople with FMs. The recipient's relationship was more critical in W-C-CPR than in W-CO-CPR, especially in HCPs. [ABSTRACT FROM AUTHOR]

The PCLake model has not previously been used for tropical reservoirs. This study attempted to apply the PCLake model to predict the chlorophyll a concentrations (Chl-a) in a tropical reservoir in Thailand. Sensitivity analyses were performed for the constants affecting the prediction of Chl-a in the phytoplankton module. The model calibration was performed by using the adjusted value of the most sensitive constant with the observed data from July to December 2020. The effects of the initial trophic state of the reservoir on the simulated Chl-a were evaluated. The results showed that Chl-a were sensitive to six constants. Among these constants, the value of the specific extinction of detritus (cExtSpDet) was adjusted using the calculated values from the typical limnological parameters of the studied reservoir. Statistical analyses of the results of calibration and the subsequent validation with the observed data from February to September 2022 were listed as follows: NSE=0.55 and 0.37, RSR=0.67 and 0.79, and PBIAS=27% and 9%, respectively. The initial trophic state of the reservoir had no influence on the long-term prediction of Chl-a. This preliminary effort indicates that the PCLake model can be used to predict Chl-a, which is representative of algal biomass in tropical reservoirs and is essential to water quality models, without complex modifications. [ABSTRACT FROM AUTHOR]