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  1. Sun Y, Kamran HW, Razzaq A, Qadri FS, Suksatan W
    PMID: 34951096 DOI: 10.1002/ieam.4570
    The present study investigates the pathway toward sustainability in Malaysia while observing the effects of tourism and transportation services on economic growth and carbon emissions. The study applied the quantile autoregressive distributed lag approach during the period 1970-2018, along with Granger causality to explore dynamic and asymmetric causal associations between the proposed variables. The empirical outcomes indicate that the error correction parameters are significant across major quantiles, confirming the presence of steady-state equilibrium in the long run. The results demonstrate that tourism and transportation services contribute significantly to economic growth in the long run; however, their contribution varies at different quantiles. On the other hand, tourism and transportation services were found to mitigate carbon dioxide emissions mainly across higher emission quantiles, confirming the sustainability of the transportation and tourism sector in Malaysia. We also observe a bidirectional causality between model variables. These results suggest important policy implications. Integr Environ Assess Manag 2022;00:1-15. © 2021 SETAC.
  2. Suksatan W, Choompunuch B, Koontalay A, Posai V, Abusafia AH
    J Multidiscip Healthc, 2021;14:727-734.
    PMID: 33790571 DOI: 10.2147/JMDH.S306718
    BACKGROUND: The COVID-19 pandemic has affected the health behaviors of university students. Thus, factors influencing students' health behaviors during the COVID-19 outbreak should be examined.

    PURPOSE: To our knowledge, little is known about stress, adversity quotient, and health behaviors of university students in Thailand. Therefore, the aims of this study were to determine the relationships among socioeconomic factors, stress, and adversity quotient influencing university students' health behavior during the COVID-19 crisis.

    PATIENTS AND METHODS: We conducted a cross-sectional predictive study; it was included 416 undergraduate students ≥18 years of age at a university in Thailand. We used descriptive statistics, chi-squared test, and stepwise multiple linear regression for data analysis.

    RESULTS: The results indicated that most participants were women (71.90%), and the highest proportion of students were enrolled in College of Politics and Governance (25.24%). Most of the students had a high stress level (M = 3.54, SD = 0.53), high adversity quotient (M = 3.77, SD = 0.63), and good health behavior (M = 3.06, SD = 0.53). Adversity quotient, stress, and current faculty/college were significant predictors of health behaviors of undergrad students (total variance: 37.2%).

    CONCLUSION: Total adversity quotient was the strongest predictor of health behavior, followed by stress and current faculty/colleges. On the basis of our results, we suggested that faculty members, caretakers, and interdisciplinary care teams should consider adversity quotient and stress in developing activities to encourage and promote students' physical and mental health behaviors, particularly during the COVID-19.

  3. Irfan M, Razzaq A, Suksatan W, Sharif A, Madurai Elavarasan R, Yang C, et al.
    J Therm Biol, 2022 Feb;104:103101.
    PMID: 35180949 DOI: 10.1016/j.jtherbio.2021.103101
    The emergence of new coronavirus (SARS-CoV-2) has become a significant public health issue worldwide. Some researchers have identified a positive link between temperature and COVID-19 cases. However, no detailed research has highlighted the impact of temperature on COVID-19 spread in India. This study aims to fill this research gap by investigating the impact of temperature on COVID-19 spread in the five most affected Indian states. Quantile-on-Quantile regression (QQR) approach is employed to examine in what manner the quantiles of temperature influence the quantiles of COVID-19 cases. Empirical results confirm an asymmetric and heterogenous impact of temperature on COVID-19 spread across lower and higher quantiles of both variables. The results indicate a significant positive impact of temperature on COVID-19 spread in the three Indian states (Maharashtra, Andhra Pradesh, and Karnataka), predominantly in both low and high quantiles. Whereas, the other two states (Tamil Nadu and Uttar Pradesh) exhibit a mixed trend, as the lower quantiles in both states have a negative effect. However, this negative effect becomes weak at middle and higher quantiles. These research findings offer valuable policy recommendations.
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