A Web-Based Thai School Lunch Program Promotes Children's Heights: A Cross-Sectional Study in Rural Schools.

Background: Nutrition has an impact on development and linear growth. However, a few studies examine the connections between children's age-standardized height and their nutritional status and diet quality.

Objectives: This study aimed to find a relationship between dietary consumption and height for age among school students under a web-based Thai school lunch program.

Enhancing Healthcare Management: Assessing User Acceptance and Usability of the 'SmartCG' Mobile Application.

In Thailand, increasing caregiving needs for senior citizens, particularly in low-income homes, may elevate the caregiver (CG) burden. This study assesses the user acceptance and usability of the 'SmartCG' mobile application in enhancing healthcare management. The app offers health evaluations, home visits, knowledge management, screening forms, and care plans.

A Mobile Application for Enhancing Caregiver Support and Resource Management for Long-Term Dependent Individuals in Rural Areas.

The "" 1.0 mobile application is a beacon of hope for caregivers (CG) in rural areas, often facing limited access to facilities and support. This study, conducted from February to August 2021, aimed to comprehensively analyze the need for developing a database system and a mobile application tailored to enhance caregiver support and resource management for long-term dependent individuals in the rural areas of Maha Sarakham province, Thailand.

Machine learning models identify micronutrient intake as predictors of undiagnosed hypertension among rural community-dwelling older adults in Thailand: a cross-sectional study.

Objective: To develop a predictive model for undiagnosed hypertension (UHTN) in older adults based on five modifiable factors [eating behaviors, emotion, exercise, stopping smoking, and stopping drinking alcohol (3E2S) using machine learning (ML) algorithms.

Methods: The supervised ML models [random forest (RF), support vector machine (SVM), and extreme gradient boosting (XGB)] with SHapley Additive exPlanations (SHAP) prioritization and conventional statistics (χ and binary logistic regression) were employed to predict UHTN from 5,288 health records of older adults from ten primary care hospitals in Thailand.

Results: The χ analyses showed that age and eating behavior were the predicting features of UHTN occurrence.

Relationship Between Dietary Intakes and Elevated Diastolic Blood Pressure Among Children: A Cross-Sectional Study Using Wearable Devices.

Background: Elevating systolic blood pressure (SBP) and diastolic blood pressure (DBP) independently influences clinical outcomes and adverse cardiovascular events. Blood pressure can be affected by modifiable (such as diets and physical activities) and non-modifiable factors (such as age and gender). Elevated blood pressure (EBP or formerly prehypertension) during childhood is associated with hypertension incidence in later adulthood.