Journal of Vongchavalitkul university

Associated Factors of Medical Mask Management Behavior for COVID-19 Pandemic Situation of Village Health Volunteers, Napho District, Burirum Province

Wanchai Bunnak — 2024-06-28

Objective: The study aimed to assess the behavior in managing infectious waste, specifically medical masks, among village health volunteers (VHVs) in Napho District, Buriram Province. Additionally, the study examined the relationship between personal factors, knowledge of COVID-19, and knowledge of infectious waste management regarding mask usage during the COVID-19 pandemic.

Methods: A total of 315 VHVs were selected through simple random sampling and were given questionnaires. Descriptive statistics were used to describe the general information. Multiple logistic regression with Adjusted Odds Ratio (Adj OR), 95% Confidence Interval (CI), and p-values at a significance level of 0.05 was employed to explain the level of association.

Results: The study found that the majority of VHVs were female (75.55%), with a mean age of 53.90 years (SD = 8.29). Most had graduated from primary school (43.81%) and were generally categorized as citizens (52.02%). The level of health literacy regarding COVID-19 was as follows: 1) knowledge and understanding were at a good level (70.16%), 2) access to health information and services was at a high level (93.65%), 3) decision-making was at a high level (92.70%), and 4) application into practice was at a high level (96.51%). Three factors were significantly associated with health literacy and medical mask management: 1) duration of VHV practice (Adj OR = 2.26, 95% CI: 1.09 to 3.55, p = 0.02), 2) access to health information and services (Adj OR = 4.50, 95% CI: 2.36 to 8.61, p < 0.001), and 3) application into practice (Adj OR = 4.30, 95% CI: 1.20 to 15.49, p = 0.02).

Health Literacy with Self-Protective Behaviors from Coronavirus 2019 of Agricultural Sector Informal Older Workers: A Case Study of Ban Pho Subdistrict, Mueang district, Nakhon Ratchasima province.

Kannika Yoosamran — 2024-06-28

Objective: This research was descriptive and studied health literacy, self-protective behaviors, and the relationship between health literacy and self-protective behaviors regarding Coronavirus 2019 infection among among Agricultural Sector Informal Older Workers.

Methods: The sample consisted of 380 agricultural Sector Informal Older Workers. A questionnaire was used for data collection, measuring health literacy and self-protective behaviors against Coronavirus 2019, with confidence values of 0.98 and 0.91, respectively. The data were analyzed using descriptive and inferential statistics, with Pearson correlation coefficients indicating a significance level of 0.001.

Results: Half of the samples (52.37%) were females, with 52.19% aged between 45-59 years. Additionally, 83.42% had graduated from primary school, having worked in agriculture for 10-19 years. Moreover, 62.37% had previously been infected with the COVID-19 virus. The level of health literacy for self-protection from Coronavirus 2019, including access to health information and services, understanding health information and services sufficient for practice, monitoring health information and services, communication and social support, and self-health management, was high. The level of self-protective behaviors against Coronavirus 2019 was also good. The relationships between health literacy and self-protective behaviors against Coronavirus 2019, including access to health information and services, understanding health information and services sufficient for practice, and monitoring health information and services, were found to be at a low level of positive relationships (r = 0.308, 0.360, and 0.377, p-value < 0.001). Communication and social support, as well as self-health management, were found to have a medium level of positive relationships (r = 0.470 and 0.539, p-value < 0.001). The overview of health literacy was found to be at a medium level of positive relationships (r = .442, p <.01).

The Relationship between Self Care Behavior and Quality of Life among Patients with Type 2 Diabetes Mellitus, Khanai Community in Nakhon Ratchasima Province

Khantarut Chansiri — 2024-06-28

Objectives: This research aimed to study the relationship between self-care behavior and quality of life among patients with type 2 diabetes mellitus.

Methods: This correlational research was based on the Orem self-care theory. The sample group consisted of 95 case of type 2 diabetes patients, they were selected by purposive sampling. The research instruments consisted of a personal data questionnaire, self-care behavior questionnaire and quality of life for diabetic patients (D-39) questionnaires. Data were analyzed by using descriptive statistics and Spearman's rank correlation coefficient.

Results: The results showed that, overall, the self-care behavior of sample was at a moderate level (x̄ = 2.96, S.D.= 0.24). The self-care behaviors in each aspect found that health responsibility and stress management were at a high level, food and exercise were at a moderate level (x̄ = 3.39, 3.02, 2.76 and 2.71, respectively). Overall, the quality of life of sample was at a good level (x̄ = 246.79 S.D. = 24.76) and the quality of life in each aspect found that energy and mobility, diabetes control, social burden, anxiety and sexual functioning were at a moderate level (x̄ = 94.73, 74.71, 33.59, 23.25 and 20.51, respectively). The Self-care behavior was positively at a moderate level significantly correlated with quality of life among patients with type 2 diabetes mellitus (r = 0.470, p < .001)

Recommendations: 1) Apply the research findings to develop guidelines for promoting self-care behaviors among type 2 diabetes patients in order to improve their quality of life. 2)Future research should study self-care behaviors among those with a low quality of life in order to identify the factors more clearly.

Health Risk Assessment from the Use of Chemical Pesticides among Farmers in Chiang Mai Subdistrict, Pho Chai District, Roi Et Province

wararat Sangwalee — 2024-06-28

Objectives: The behavior of using unsafe chemical pesticides has both immediate and chronic health impacts. This research aimed to assess the likelihood, severity, and health risks associated with the use of chemical pesticides among farmers in Chiang Mai Subdistrict, Pho Chai District, Roi Et Province.

Methods: Data were collected using the health risk assessment form. The samples involved 208 farmers. The study was conducted between November 2566 and May 2567. Statistical analysis included descriptive statistics and Chi-Square statistics to identify factors related to the risk of exposure to chemical pesticides among farmers.

Results:The study revealed that 61.1% of the sample group were male, with an average age of 39.3 years (S.D. = 12.4, Min. = 18, Max. = 66). Famers experienced post-spraying symptoms, with 27.4% reporting symptoms. Severity levels of pesticide use indicated that 64.0% were at a low severity level, 20.6% at a moderate level, and 15.4% at a relatively high level. In terms of exposure risk, 68.7% of farmers had a low exposure risk, 30.8% had a moderate risk, and 0.5% had a high risk. Matrix analysis between exposure risk and severity levels showed that farmers were at low risk (68.2%), high risk (14.9%), relatively high risk (12.1%), and moderate risk (4.8%). Statistical analysis revealed significant relationships between marital status (X² = 6.715, P=016) and post-exposure symptoms (X²=164.033, P<0.001) with the likelihood of pesticide exposure at statistically significant 0.05 level.

Therefore, public health personnel and related agencies should enhance health knowledge on preventing pesticide-related diseases among farmers and pesticide applicators to reduce the risk of pesticide exposure and its impacts on farmers.

The Efficacy of Herbal Sprays: Alpinia Galangal, Derris Scandens, Zingiber Officinale, and Zingiber Montanum for Relieving Muscle Pain in Patients at Sakon Nakhon Thai Traditional Medicine Hospital, Luang Poo Fab Supatto

Kamolwan Jongjitt — 2024-06-28

Objective: The study aimed to 1) compare the level of muscle pain before and after the experimental group received an herbal spray containing Alpinia galangal, Derris scandens, Zingiber officinale, and Zingiber montanum; 2) compare the level of muscle pain after receiving the herbal spray with a placebo; and 3) evaluate satisfaction after receiving the herbal spray in relieving muscle pain.

Methods: This quasi-experimental research involved patients receiving services at Sakon Nakhon Thai Traditional Medicine Hospital Luang Poo Fab Supatto. Participants were divided into two groups, each with 34 people: the experimental group, received the herbal spray containing Alpinia galangal, Derris scandens, Zingiber officinale, and Zingiber montanum, and the control group, received a placebo, for 4 weeks. The research instruments included evaluation forms to assess the effectiveness and satisfaction of using the herbal spray. Data were analyzed using descriptive and inferential statistics.

Results: The experimental group had a muscle pain level of 6.87 ± 0.34 before receiving the treatment and 4.03 ± 0.07 after receiving the treatment, with a statistically significant difference (p < 0.05). When comparing the effectiveness of the herbal spray with the placebo, a statistically significant difference was found (p < 0.05). Satisfaction with the effectiveness of the herbal spray in relieving severe muscle pain was at a high level (x̄ = 4.06, S.D. = 0.78).

Happiness and Engagement of Personnel Toward Being a Healthy Organization, Faculty of Public Health Nakhon Ratchasima Rajabhat University

Pattamaphon Ampaikun — 2024-06-28

Objectives: This research aimed to study eight indices of happiness and the promotion and engagement of happiness and engagement among personnel.

Methods: The sample group consisted of staff members of the Faculty of Public Health, working from October 2022 to September 2023. The tools used included questionnaires and interviews. Data were analysed using statistical software to present frequency, percentage, mean, and standard deviation. Additionally, qualitative content analysis was done by discourse analysis to interpret comments, which were then summarized and compiled comprehensively.

Results: The results of this research found that most of the respondents were female (17 persons, accounting for 68.00%). Most have worked for more than 10 years (56.00%). The majority of personnel hold academic positions (68.00%). The overall happiness index of the personnel is at a high level (x̄ = 3.71, S.D. = 0.67). When considering individual aspects, the top three aspects are: 1) eagerness to learn (x̄ = 4.26, S.D. = 0.58), 2) spiritual well-being (x̄ = 3.97, S.D. = 0.72), and 3) kindness (x̄ = 3.87, S.D. = 0.67). The lowest average aspect is financial well-being (x̄ = 3.30, S.D. = 0.66). The organizational commitment of personnel is also at a high level, with the highest mean aspect being psychological (x̄ = 3.87, S.D. = 0.67), followed by organizational retention (x̄ = 3.72, S.D. = 0.80). Comparing organizational commitment between male and female personnel shows no significant statistical difference. The strategies to enhance happiness and engagement among the staff should include promoting exercise, which might involve organizing workout sessions before and during meetings. And support their self-development through off-site study visits. Activities to reduce stress, such as religious ceremonies on holy days, should also be included. Furthermore, providing knowledge about saving money and encouraging staff to bring their family members to participate in faculty activities are recommended.

A New Approach to Reducing Common Mode Noise in Single MOSFET Switching Converters Using the Hybrid Balance Method

Arnon Srisawang — 2024-06-28

Objectives: This research investigates the generation of common-mode and differential-mode noise in MOSFET switching converters and examines the use of a hybrid circuit balancing technique to reduce electromagnetic interference (EMI).

Method: Single-MOSFET switching converters have an inherent characteristic: unbalanced circuits. These converters connect directly to the power source and deliver power directly to the load terminal. This unbalanced configuration creates a common-mode current, that flows through the frame ground. This research proposes a solution using a hybrid balancing technique. This method combines passive and active components to achieve optimal common-mode noise reduction. The effectiveness of this technique is evaluated based on its common-mode noise reduction ratio. The cables transmit energy signals to the load. This unbalanced circuit can create unwanted electromagnetic interference (EMI) due to the common-mode interference mechanism.

Results: The experimental results demonstrate a technique for reducing the root cause of continuous common-mode (CM) noise in switching converters. This technique involves balancing the hybrid circuit based on the common-mode noise reduction ratio. It has been shown to reduce electromagnetic interference (EMI) problems by up to 36.07 decibels.

Application of Generative Artificial Intelligence in Data Cleaning and Preparation: A Case Study of Recycled Polypropylene Composite Mixed with Tea Residue

Anuchit Khongrit — 2024-06-28

Objectives: This study aims to explore the capabilities of three Generative Artificial Intelligence (AI) systems—Claude.ai, ChatGPT 3.5, and Gemini—on online platforms for data cleaning and data preparation. The dataset used for this study consists of the mechanical property testing data of recycled polypropylene composite mixed with tea waste.

Method: The study begins by creating conversational prompts to interact with the generative AI systems, asking them for principles and methods for data cleaning and data preparation. Following these steps, the cleaned data is prepared, and the results from each AI platform are compared and discussed.

Results: The results indicate that all three Generative AI systems provided useful information for the data cleaning and data preparation processes. The information obtained was accurate and consistent with data science literature. However, the AI platforms could not perform the actual data cleaning due to their system limitations. Consequently, Python libraries were used to carry out the data cleaning, with the generative AI systems serving a persona-based role in generating Python scripts for data cleaning and preparation. The cleaned and prepared dataset was found to be usable in data analysis programs, statistical analysis, and online platforms without any issues or errors stemming from incomplete or unclean data.