MyMedR

Displaying all 4 publications

Abstract:

Sort:

Prevalence and predictors of depression, anxiety, and stress among recovered COVID-19 patients in Vietnam

Trang LTT, Ngoc Le C, Chutipatana N, Shohaimi S, Suwanbamrung C

Rocz Panstw Zakl Hig, 2023;74(2):217-230.
PMID: 37309979 DOI: 10.32394/rpzh.2023.0261

BACKGROUND: During the COVID-19 pandemic, a high prevalence of mental health distress has been reported among people who have recovered from the disease.
OBJECTIVES: To assess the prevalence of depression, anxiety, and stress as well as identify predictors among recovered COVID-19 patients after more than six months of being discharged in Dong Thap Province, Vietnam.
MATERIAL AND METHODS: The cross-sectional study was conducted among 549 eligible participants recruited by stratified sampling. Data was collected using the depression, anxiety and stress scale - 21 items had Content Validity Index = 0.9, and Cronbach's alpha for depression, anxiety and stress sub-scales were 0.95, 0.81, and 0.86, respectively. Descriptive statistics were used to measure the prevalence levels and distribution of characteristics of the participant, while factors influencing depression, anxiety, and stress were predicted using binary logistic regression.
RESULTS: The overall prevalence of depression, anxiety, and stress were 24.8% (95% CI: 21.2-28.6), 41.5% (95% CI: 37.4-45.8), and 25.3% (95% CI: 21.7-29.2), respectively. The predictors of depression were living in urban area (OR = 1.97; 95% CI: 1.27-3.08), holding a bachelor's degree (OR:3.51; 95% CI: 1.13-10.8), having a high monthly income (OR: 2.57; 95% CI: 1.03-6.38), diabetes (OR: 2.21; 95% CI: 1.04-4.68), heart disease (OR: 3.83; 95% CI: 1.79-8.17), respiratory disease (OR: 3.49; 95% CI: 1.24-9.84), and diarrhea (OR: 4.07; 95% CI: 1.06-15.6). Living in the urban area (OR: 1.57; 95% CI: 1.07-2.29), having sleep disturbance (OR: 2.32; 95% CI: 1.56-3.46), and fatigue (OR: 1.57; 95% CI: 1.03-2.39) were predictors for anxiety. Having respiratory disease (OR: 3.75; 95% CI: 1.47-9.60) or diarrhea (OR: 4.34; 95% CI: 1.18-15.9) were predictors of stress.
CONCLUSION: People who have recovered from COVID-19 should be assessed for symptoms of depression, anxiety, and stress. Primary healthcare providers should develop interventions to support their recovery.
Fulltext Unhealthy Dietary Patterns and Their Associations with Sociodemographic Factors as Predictors among Underweight and Overweight Adolescents in Southern Thailand

Kunset P, Punsawad C, Petsirasan R, Suwanbamrung C, Shohaimi S, Narkkul U, et al.

Int J Environ Res Public Health, 2023 Sep 01;20(17).
PMID: 37681843 DOI: 10.3390/ijerph20176703

(1) Background: Adolescence is a critical developmental phase; dietary intake and nutritional status significantly impact health outcomes. (2) Objective: This cross-sectional study investigated dietary patterns (DPs) and the association between sociodemographic factors and unhealthy DPs among adolescents in Thailand. (3) Methods: A multi-stage sampling selected 1480 participants from three public high schools in Nakhon Si Thammarat province. A food frequency questionnaire assessed dietary habits, and principal component analysis was used to identify DPs. Multinomial logistic regression examined the association between sociodemographic factors and DPs. (4) Results: The findings show that 25.9% of adolescents were underweight, 14.7% were overweight, and 5.8% were obese. Three DPs were identified: a healthy 'protein and vegetables' pattern and two unhealthy patterns: 'snacks' and 'processed foods', which explained 12.49%, 10.37%, and 7.07% of the dietary variance, respectively. Among underweight adolescents, higher snack consumption was associated with being younger (odds ratio (OR) = 3.24) and receiving a higher daily allowance (OR = 3.43). Additionally, female adolescents who engaged in frequent exercise had a 2.15 times higher intake of processed foods. Among overweight adolescents, higher snack intake was linked to being younger (OR = 8.65) and having larger families (OR = 6.37). Moreover, an increased daily allowance was associated with higher consumption of processed foods (OR = 11.47). (5) Conclusion: This study underscores the socio-demographic influence on unhealthy DPs. Insights can guide targeted interventions to foster healthier dietary habits during adolescence.
Fulltext Prevalence and factors associated with long COVID and mental health status among recovered COVID-19 patients in southern Thailand

Phu DH, Maneerattanasak S, Shohaimi S, Trang LTT, Nam TT, Kuning M, et al.

PLoS One, 2023;18(7):e0289382.
PMID: 37523396 DOI: 10.1371/journal.pone.0289382

Mental health disorders have become a growing public health concern among individuals recovering from COVID-19. Long COVID, a condition where symptoms persist for an extended period, can predict psychological problems among COVID-19 patients. This study aimed to investigate the prevalence of long COVID and mental health status among Thai adults who had recovered from COVID-19, identify the association between the mental health status and long COVID symptoms, and investigate the risk factors associated with the correlation between long COVID and mental health outcomes. A cross-sectional study was conducted among 939 randomly selected participants in Nakhon Si Thammarat province, southern Thailand. The Depression, Anxiety, and Stress Scale-21 was used to investigate mental health symptoms, and a checklist comprised of thirteen common symptoms was used to identify the long COVID among participants. Logistic regression models were used to investigate the risk factors associated with mental health status and long COVID symptoms among participants. Among the 939 participants, 104 (11.1%) had depression, 179 (19.1%) had anxiety, and 42 (4.8%) were stressed. A total of 745 participants (79.3%) reported experiencing at least one symptom of long COVID, with fatigue (72.9%, SE±0.02), cough (66.0%, SE±0.02), and muscle pain (54.1%, SE±0.02) being the most frequently reported symptoms. All long COVID symptoms were significantly associated with mental health status. Shortness of breath, fatigue, and chest tightness were the highest risk factors for mental health status among COVID-19 patients. The final multivariable model indicated that female patients (OR = 1.89), medical history (OR = 1.92), and monthly income lower than 5,000 Thai baht (OR = 2.09) were associated with developing long COVID symptoms and mental health status (all p<0.01). This study provides valuable insights into the potential long-term effects of COVID-19 on mental health and enhances understanding of the mechanisms underlying the condition for predicting the occurrence of mental health issues in Thai COVID-19 patients.
Evaluation of high school-based dengue solution model in Southern Thailand: a community participatory action research

Suwanbamrung C, Mehraj SK, Kercho MW, Stanikzai MH, Ageru TA, Jaroenpool J, et al.

BMC Public Health, 2024 Nov 28;24(1):3315.
PMID: 39609747 DOI: 10.1186/s12889-024-20767-4

INTRODUCTION: By the time the globe started to tackle the COVID-19 pandemic, Southeast Asian countries had faced an increased dengue incidence, which has eventually become an important public health problem. However, effective and sustainable disease control measures in the area are still lacking. Therefore, the current study is aimed to evaluate the development and implementation of high school-based dengue solution model in Southern Thailand.
METHODS: Integrated community participatory action research (CPAR) was employed using preparation, planning, implementation, and evaluation. Data was collected using quantitative and qualitative methods from high school students. Descriptive statistics such as frequency and percentage, chi-square and fisher's exact test were used to summarize and compare quantitative data before and after intervention. Similarly, qualitative data was collected through interviews and focus group discussion (FGD) and then analyzed through thematic analysis.
RESULTS: Two hundred and thirty-nine (96.3%, n = 239/248) and 232 (93.5, n = 232/248) participants were included in the interventions before and after, respectively. School-based dengue prevention was developed with input from a variety of stakeholders, including students, community leaders, health educators, district officials, and community health volunteers. As demonstrated by pre- to post-test results, students understanding of dengue and the larval indices surveillance system has increased. Students who received the training were not only inspired but created a sense of community responsibility with a high commitment to teaching and sharing information in their circle to enhance overall community wellbeing. Being female and higher educational attainment was associated with students understanding of dengue and larval indices surveillance.
CONCLUSION: This participatory action research not only improved students' understanding of dengue but also empowered them to be proactive in various community health initiatives. The positive correlation between educational attainment and students understanding of dengue solution and larval indices surveillance underscores the need for tailored educational interventions that address diverse learning needs within the community. Collaborative efforts to establish dengue health information center based at primary schools and above can better improve reduction of dengue incidence.