ABSTRACT
Background: This study examined the association between media exposure and mental health during the second wave of lockdown among the general population of Bangladesh. Methods: A total of 449 adult participants were enrolled in the study to evaluate their levels of exposure to total media, electronic media, and social media. Mental health was assessed using a 7-item generalized anxiety disorder (GAD-7) scale. A multivariate logistic regression model was constructed to explore the relationships between media exposure levels and anxiety. The models included covariates such as sex, daily working hours, health problems, media distraction, and income from social media. Results: The results showed that 44.5%, 39.2%, and 16.3% of participants reported low, medium, and high levels of exposure to different media during the COVID-19 period, respectively. Additionally, 96.4%, 2.7%, and 0.9% of participants had low, medium, and high levels of exposure to electronic media, respectively, and 89.1%, 10.5%, and 0.4% of participants had low, medium, and high levels of exposure to social media, respectively. The overall prevalence of anxiety was 25.38% among the respondents. Participants with high levels of total media exposure were significantly more likely to experience anxiety, with an odds ratio of 2.75 (95% CI = 1.40-5.14, p < 0.01). Females were 2.26 times more likely to experience anxiety than males (95% CI = 1.37-3.74, p < 0.01), and participants with health problems were also more likely to develop anxiety compared to those who did not. Conclusion: Our results show a positive relationship between increased media exposure and anxiety levels, providing useful insights for both academics and public health practitioners.
ABSTRACT
Background: The stay-at-home conditions due to the COVID-19 pandemic significantly alter the Malaysian lifestyle, and all Malaysians faced difficulties adopting the new lifestyle. A hypothetico-deductive technique has been conducted in this study, to find out what kind of changes the COVID-19 has brought about in the behavior of Malaysians and how they are coping with the changing lifestyles. According to G* Power 3.1 sample size determination in Malaysia, the entire sample of 112 was sufficient to provide the value for the medium effect size for the computation of the F-tests and the findings were reliable (The Cronbach's alpha values were all above 0.70.). To calculate the mean of the lifestyle during COVID-19, the mean scores range between 1.00 and 5.00 marks indicating much reduced to much increased. Results: It seemed that the jobs traveling (mean 1.80) and outdoor sports time (mean = 1.94) were somewhat reduced. In contrast, indoor sports activities (mean = 3.01), online games (mean = 2.76), physical exercises (mean = 2.63), and the number of staycations (mean = 2.46) during the pandemic stayed the same. However, religious activities (mean = 3.73), body mass index (mean = 3.54), online shopping (mean = 3.90), sleeping time (mean = 3.43), amount of anxiety (mean = 3.38), amount of caffeine (mean = 3.15), medical consumption (mean = 3.10), watching movies (mean = 3.26), and watching drama series (mean = 3.37) during COVID-19 were somewhat increased. In addition, respondents' time spent on social media (mean = 4.27) and online meetings (mean = 4.37) during COVID-19 were much increased. We found no significant differences in the means of the dependent variables (lifestyle of COVID-19) among all demographic characteristics except age and employment status. Conclusions: New behavioral changes bring new challenges. Malaysians should need to adopt some precautions to minimize the negative effect of new behavioral changes in post-COVID-19 life. The results will help policymakers to make the right decisions about improving the quality of life after COVID-19. Supplementary Information: The online version contains supplementary material available at 10.1186/s42269-023-00979-1.
ABSTRACT
Woodlot plantation takes our attention nowadays because of having high wood value, biomass and carbon stock. It also has considerable potential for regulating climate change by sinking CO2. This study investigated the market value of Swietenia macrophylla woodlots concerning the current carbon trade mechanism, local timber and oxygen value. The carbon-di-oxide equivalence (CO2e) and release oxygen (O2 Release) ranged from 125.5 to 1004.5 Mg/ha (mean 436.3 Mg/ha) and 91.25-730.26 Mg/ha (mean 317.2 Mg/ha), respectively. Form carbon trade, the Swietenia macrophylla woodlots owner will earn 4,285-34,470 BDT/ha (mean 14,900 BDT/ha). It also seemed that the present market value of release oxygen (O2 Release) ranged from 3.2 to 25.5 million BDT/ha (average 11.1 million BDT/ha). However, the study area's average DBH, height, density, and basal area were 18.9 cm, 12.6 m, 1233 stem/ha, and 36.6 m2/ha, respectively. The above-ground biomass, below-ground biomass, and total biomass ranged from 45.9 to 389.7 Mg/ha (mean 166.5 Mg/ha), 22.5-157.7 Mg/ha (mean 71.2 Mg/ha), and 68.4-547.4 Mg/ha (mean 237.7 Mg/ha) correspondingly. Besides, the produced wood volume ranged from 64.95-1225.19 m3/ha (average 481.48 m3/ha). While the price of wood ranged from 0.8 to 15.14 million BDT/ha (mean 5.95 million BDT/ha). However, the above-ground, below-ground, and total carbon ranged 22.97-194.85 Mg/ha (mean 87.27 Mg/ha, 11.23-78.85 Mg/ha (35.61 Mg/ha), and 34.2-273.7 Mg/ha (118.89 Mg/ha) independently. Moreover, our three developed basal area-based allometric models are fit for calculating the carbon stock of Swietenia macrophylla woodlots. This study explores the potentiality of woodlots in Bangladesh. Policymakers should encourage the farmers to create more woodlots that actively participate in climate change mitigation.
