• Title/Summary/Keyword: Bangkok and metropolitan area

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Causal Relationship Between Information Perception and Preventive Behaviors of COVID-19 Among Working Age People in Bangkok and Metropolitan Area, Thailand

  • Thanuttha Suwannakas;Vipakorn Vadhanasin;Sasipimol Prapinpongsakorn
    • Journal of Information Science Theory and Practice
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    • v.12 no.4
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    • pp.64-77
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    • 2024
  • This study aims to examine the causal relationship between information perception and preventive behaviors regarding COVID-19 among working-age people in Bangkok and the metropolitan area of Thailand. The study investigated how information exposure, interpretation, and retention influence hygiene practices, virus spread prevention, health maintenance, and digital lifestyle adaptations among working-age individuals. Employing quantitative research methods, the sample group consisted of 421 working-age people in Bangkok and the metropolitan area. Data collection was conducted using a questionnaire. Analysis involved descriptive statistics, confirmatory factor analysis, and structural equation modeling. The results showed that the measurement model was well fitted to the empirical data. The findings reveal a significant correlation between information perception and the implementation of preventive measures among the working-age population in Bangkok, highlighting the pivotal role of accurate and effective information dissemination in influencing public behavior, especially now that COVID-19 has become a more manageable aspect of everyday life.

Knowledge regarding factors that influence fertility in Thai reproductive-age population living in urban area: A cross-sectional study

  • Nakhon, Sarapan Na;Limvorapitux, Pawan;Vichinsartvichai, Patsama
    • Clinical and Experimental Reproductive Medicine
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    • v.45 no.1
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    • pp.38-43
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    • 2018
  • Objective: To survey knowledge about the factors that influence fertility in a reproductive-age population living in an urban area. Methods: A cross-sectional study was conducted using a questionnaire-based survey among both males and females aged 18-45 years living in the Bangkok metropolitan area. Results: The mean age of the participants was $26.8{\pm}7.2years$ (male, 41.9%; female, 58.1%). Of the participants, 53.1% had an undergraduate degree and 57.1% were single. Only one-fifth of the participants correctly identified the age when fecundity declines in male and female, the definition of infertility, and the period during the menstrual cycle with the highest chance of pregnancy. Approximately three-fourths of the participants correctly identified that cigarette smoking, alcohol consumption, and sexually transmitted infections affect fertility. Conclusion: A considerable knowledge gap about the factors that influence fertility was identified in reproductive-age individuals in an urban area of Thailand. This issue should be urgently addressed by promoting fertility awareness through education, discussions about social perceptions regarding fertility, and reliable sources of knowledge.

Occupational Health Problems and Lifestyle Changes Among Novice Working-From-Home Workers Amid the COVID-19 Pandemic

  • Ekpanyaskul, Chatchai;Padungtod, Chantana
    • Safety and Health at Work
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    • v.12 no.3
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    • pp.384-389
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    • 2021
  • Background: Social distancing by working-from-home is an effective measure to decrease the spread of COVID-19. However, this new work pattern could also affect the well-being of workers. Therefore, the aim of the study was to study the magnitude of occupational health problems and lifestyle changes among workers who have only recently started working from home. Methods: A cross-sectional study was conducted using online self-administered questionnaires during the coronavirus disease 2019 pandemic in the Bangkok metropolitan area, Thailand. The participants were from any organization that allowed working from home. The demographic data including the analysis of the characteristics of working from home, the occurrence of occupational health problems, and the lifestyle changes caused by working from home were analyzed. Results: A total of 869 workers were included as study participants. The highest prevalence of physical health problems among all workers was identified to be weight gain at a rate of 40.97% (95% confidence interval = 37.69-44.24), and the highest prevalence of psychosocial problems was identified to be cabin fever at a rate of 31.28% (95% confidence interval = 26.66-35.90%) among full-time working-from-home workers. The health effects that were significantly related to the intensity of working from home (p for trends <0.05), either positively or negatively, included body weight changes, ergonomic problems, indoor environmental problems, and psychosocial problems. Meanwhile, the lifestyle changes related to work intensity included eating pattern, sleep habits, and exercise. Conclusions: Working from home can affect workers' well-being in various aspects. Hence, occupational health providers must prepare for risk prevention and health promotion in this "new normal" working life pattern and for future pandemics.