Beliefs about the effects of smoking on corona virus disease 2019 and its impact on the intention to quit and smoking frequencies among university students smokers in Jakarta, Indonesia

Nurmansyah, MochamadIqbal; Suraya, Izza; Fauzi, Ridhwan; Al-Aufa, Badra

doi:10.4103/shb.shb_178_22

Cited by 4 publications

(2 citation statements)

References 20 publications

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“…For instance, exposure to misinformation about the protective role of smoking and alcohol consumption against COVID-19 infections has been associated with increased smoking and alcohol use in current consumers. In contrast, people that believed smoking is a risk factor for a severe COVID-19 infection showed greater intentions to quit smoking [ 9 , 10 ]. In how far people show misinformation-consistent behavior or followed public health recommendations depends among others on the individual level of trust in institutions such as the government and national health authorities [ 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

Who shares fake news on social media? Evidence from vaccines and infertility claims in sub-Saharan Africa

Unfried,

Priebe

2024

PLoS ONE

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The widespread dissemination of misinformation on social media is a serious threat to global health. To a large extent, it is still unclear who actually shares health-related misinformation deliberately and accidentally. We conducted a large-scale online survey among 5,307 Facebook users in six sub-Saharan African countries, in which we collected information on sharing of fake news and truth discernment. We estimate the magnitude and determinants of deliberate and accidental sharing of misinformation related to three vaccines (HPV, polio, and COVID-19). In an OLS framework we relate the actual sharing of fake news to several socioeconomic characteristics (age, gender, employment status, education), social media consumption, personality factors and vaccine-related characteristics while controlling for country and vaccine-specific effects. We first show that actual sharing rates of fake news articles are substantially higher than those reported from developed countries and that most of the sharing occurs accidentally. Second, we reveal that the determinants of deliberate vs. accidental sharing differ. While deliberate sharing is related to being older and risk-loving, accidental sharing is associated with being older, male, and high levels of trust in institutions. Lastly, we demonstrate that the determinants of sharing differ by the adopted measure (intentions vs. actual sharing) which underscores the limitations of commonly used intention-based measures to derive insights about actual fake news sharing behaviour.

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Section: Introductionmentioning

confidence: 99%

Who shares fake news on social media? Evidence from vaccines and infertility claims in sub-Saharan Africa

Unfried,

Priebe

2024

PLoS ONE

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“…Previous studies have provided an important and fundamental understanding of the associations between individuals' mental distress (i.e., anxiety and depression) and their daily activities, perceptions of COVID-19, and perceptions of neighborhood cohesion [26][27][28]. However, to the best of our knowledge, few studies simultaneously considered all these factors and presented a holistic picture of the interplay among individuals' mental distress, daily activities, perceptions of COVID-19, and perceptions of neighborhood cohesion, which is considered crucial for formulating effective prevention and treatment strategies and measures.…”

Section: Introductionmentioning

confidence: 99%

The interplay among individuals’ distress, daily activities, and perceptions of COVID-19 and neighborhood cohesion: A study using network analysis

Yang,

Huang,

Kwan

et al. 2024

PLoS ONE

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The reduction of social interactions through non-pharmaceutical interventions (NPIs) has been shown to effectively curb COVID-19 transmission. However, these control measures were often accompanied by changes in people’s daily routines and constraints on their activity space, which could lead to mental distress (i.e., anxiety and depression). This study examined the interplay among individuals’ anxiety, depression, daily activities, and perceptions of COVID-19 and neighborhood cohesion. Taking Hong Kong as an example, an online survey (N = 376) was conducted to collect data from participants between March 14 to May 11, 2022. The data include respondents’ self-reported anxiety and depressive symptoms, daily activities (e.g., smartphone use), perceptions of COVID-19 (e.g., the possibility of infecting COVID-19), and perceptions of neighborhood cohesion. Using network analysis, we found that excessive smartphone use, life disturbance by COVID-19, and a community with people getting along well with each other were significant factors associated with participants’ anxiety and depression. Using critical path analysis, we observed that NPIs reduced human mobility, led to delayed bedtime, and increased smartphone use, which were associated with participants’ mental distress. We also found that NPIs and COVID-19 were associated with people’s perceptions of infection and the severity of COVID-19 and human mobility flexibility, which may further lead to mental distress. Our results also demonstrated that people with high education levels were vulnerable. These results provided important insights for designing appropriate interventions without generating deleterious impacts on people’s mental health in the future.

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Associations Between Behavioral Addictions and Mental Health Concerns During the COVID-19 Pandemic: A Systematic Review and Meta-analysis

Alimoradi,

Broström,

Potenza

et al. 2024

Curr Addict Rep

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Purpose of Review The COVID-19 pandemic has promoted behavioral changes and elevated mental distress. Addictive behaviors often increased, generating mental health problems. The present study’s primary aim was to investigate associations between different types of behavioral addictions (including behavioral addictions, related conditions, and phenomena) and different types of mental health problems. The secondary aims were: (i) to identify possible sources of heterogeneity and (ii) to explore potential moderators in associations between different types of behavioral addictions (including behavioral addictions, related conditions, and phenomena) and different types of mental health problems. Recent Findings Using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), studies from the period between December 2019 and May 2023 were sought from PubMed, Scopus, ISI Web of Knowledge, and Google Scholar in its first ten pages. The articles’ relevance was screened and evaluated. The included papers’ quality was assessed according to the Newcastle Ottawa Scale. Fisher’s Z scores were computed to present magnitudes of associations and I2 indices were used to estimate levels of heterogeneity in the meta-analysis. Among the 85 included studies (N = 104,425 from 23 countries; mean age = 24.22 years; 60.77% female), most were internet-related behavioral addictions, related conditions, and phenomena (28 studies on social media, 25 on internet, 23 on smartphone, and 12 on gaming). The pooled estimation of the associations showed that higher levels of behavioral addictions, related conditions, and phenomena related to internet use (regardless of type) were associated with more mental health problems (regardless of which type). Moderator analyses showed that almost no variables affected heterogeneity for the founded associations. Summary Most studies of behavioral addictions, related conditions, and phenomena focused on internet-related behaviors, with studies suggesting relationships with specific types of mental health problems during the COVID-19 pandemic. Moreover, associations between behavioral addictions (including behavioral addictions, related conditions, and phenomena) and mental health problems found in the present systematic review and meta-analysis were comparable to the associations identified in studies conducted before the COVID-19 pandemic. How to help people reduce internet-related behavioral addictions, related conditions, and phenomena and address associated mental health concerns are important topics for healthcare providers.

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Beliefs about the effects of smoking on corona virus disease 2019 and its impact on the intention to quit and smoking frequencies among university students smokers in Jakarta, Indonesia

Cited by 4 publications

References 20 publications

Who shares fake news on social media? Evidence from vaccines and infertility claims in sub-Saharan Africa

Who shares fake news on social media? Evidence from vaccines and infertility claims in sub-Saharan Africa

The interplay among individuals’ distress, daily activities, and perceptions of COVID-19 and neighborhood cohesion: A study using network analysis

Associations Between Behavioral Addictions and Mental Health Concerns During the COVID-19 Pandemic: A Systematic Review and Meta-analysis

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