Drinking and Social Media Use Among Workers During COVID-19 Pandemic Restrictions: Five-Wave Longitudinal Study

Comparison of emergency transport for acute alcohol intoxication before and after the coronavirus disease 2019 pandemic: A retrospective observational study

The ongoing coronavirus disease 2019 (COVID-19) pandemic has had a broad effect on social, economic, educational, and political systems. We investigated the effect of COVID-19 on emergency transportation due to acute alcohol intoxication in the Kochi Prefecture in Japan, a region with high alcohol consumption. This retrospective observational study was conducted using the data of 62,138 patients from the Kochi-Iryo-Net database, Kochi Prefecture's emergency medical and wide-area disaster information system. Chi-square tests and multiple logistic regression analyses were performed to examine the association between emergency transportation and alcohol intoxication. This analysis compared the monthly number of transportations during 2019 (as reference) with that throughout 2020 and 2021. Approximately 1.5 % of all emergency transportation cases were related to acute alcohol intoxication. The number of emergency transportation cases due to acute alcohol intoxication declined by 0.5 % in 2020 and 0.7 % in 2021 compared with that in 2019. Moreover, compared with that in 2019, the number of cases of emergency transportation due to acute alcohol intoxication significantly decreased in 2020 (incidence rate ratio: 0.78; 95 % confidence interval: 0.67-0.91) and 2021 (incidence rate ratio: 0.73; 95 % confidence interval: 0.63-0.86). Lifestyle changes due to the COVID-19 pandemic affected the number of emergency transports due to acute alcohol intoxication in 2020 and 2021 (during the COVID-19 pandemic) compared to that in 2019 (before the pandemic).

Keeping you connected or keeping you addicted? Weekly use of social media platforms is associated with hazardous alcohol use and problem gambling among adults

AIMS

A wide variety of social media platforms exist, each offering tailored solutions to attract specific target audiences based on their social media needs and interests. This diversity may pose a risk factor for the development or perpetuation of harmful behaviors. Research has established a connection between social media use and increased health risk behaviors. This six-wave exploratory longitudinal study investigated the associations between active social media use, hazardous alcohol use, and problem gambling among adult social media users.

METHODS

Data were collected via surveys in 6-month intervals, starting in March-April 2021 (T1: N = 1530; Mage = 46.67; SD = 16.42; 50.33% male). Of the T1 respondents, 58.10% participated in T6 (n = 889). Measures included the frequency of use of different social media platforms, the 3-item Alcohol Use Disorders Identification Test (AUDIT-C), and the Problem Gambling Severity Index (PGSI). Hybrid multilevel regression models were used for analyses.

RESULTS

We found positive within-person effects of weekly Facebook use and between-person effects of weekly use of Facebook, TikTok, and gambling-related online communities on drinking. These results suggest an increase in hazardous alcohol consumption over time among the platforms' active users. Weekly Instagram use had a negative between-person effect on hazardous alcohol use. Individuals using TikTok or gambling communities weekly were more prone to problem gambling compared to non-weekly users.

CONCLUSIONS

There are risks involved in the active use of some social media services among adult users. Prevention work, including digital health interventions, should be targeted according to the appropriate user group.

Social Media and Selfie-Related Mortality Amid COVID-19: Interrupted Time Series Analysis

BACKGROUND

COVID-19 had a considerable impact on mortality, but its effect on behaviors associated with social media remains unclear. As travel decreased due to lockdowns during the pandemic, selfie-related mortality may have decreased, as fewer individuals were taking smartphone photographs in risky locations.

OBJECTIVE

In this study, we examined the effect of the COVID-19 pandemic on trends in selfie-related mortality.

METHODS

We identified fatal selfie-related injuries reported in web-based news reports worldwide between March 2014 and April 2021, including the deaths of individuals attempting a selfie photograph or anyone else present during the incident. The main outcome measure was the total number of selfie-related deaths per month. We used interrupted time series regression to estimate the monthly change in the number of selfie-related deaths over time, comparing the period before the pandemic (March 2014 to February 2020) with the period during the pandemic (March 2020 to April 2021).

RESULTS

The study included a total of 332 selfie-related deaths occurring between March 2014 and April 2021, with 18 (5.4%) deaths during the pandemic. Most selfie-related deaths occurred in India (n=153, 46.1%) and involved men (n=221, 66.6%) and young individuals (n=296, 89.2%). During the pandemic, two-thirds of selfie-related deaths were due to falls, whereas a greater proportion of selfie-related deaths before the pandemic were due to drowning. Based on interrupted time series regression, there was an average of 1.3 selfie-related deaths per month during the pandemic, compared with 4.3 deaths per month before the pandemic. The number of selfie-related deaths decreased by 2.6 in the first month of the pandemic alone and continued to decrease thereafter.

CONCLUSIONS

Our findings indicate that the COVID-19 pandemic led to a marked decrease in selfie-related mortality, suggesting that lockdowns and travel restrictions likely prevented hazardous selfie-taking. The decrease in selfie-related mortality occurred despite a potential increase in social media use during the pandemic.

Longitudinal development of well-being among Finnish employees during 2019-2021: Relationships with personality trait profiles

We examined well-being profiles among Finnish employees before and during the COVID-19 pandemic and their links with personality trait profiles. Longitudinal survey data were collected in 2019-2021, and 733 respondents participated in all five surveys. The data were analyzed with a person-centered approach using latent profile analysis (LPA). Measures included burnout, work engagement, psychological distress; and Big Five personality traits. Six well-being profiles: Disengaged, Declined, Engaged, Fluctuated, Stable, and Burned-out, and four personality profiles: Ordinary, Reserved, Resilient, and Overcontrolled were identified. Resilient participants typically belonged to the Engaged well-being profile and Reserved to Burned-out and Fluctuated well-being profiles. Although some separation in developmental well-being profiles existed, overall, well-being was rather stable. Personality trait profiles played a crucial role in maintaining well-being.

Primary care visits due to mental health problems and use of psychotropic medication during the COVID-19 pandemic in Finnish adolescents and young adults

BACKGROUND

Social restrictions due to COVID-19 have impacted the everyday life of adolescents and young adults, with increased levels of stress and anxiety being reported. Therefore, we report primary care visits due to mental health problems and the use of psychotropic medication in Finland.

METHODS

We conducted a nationwide register-based study and included primary care visits with mental health problems (F*-class ICD-10 diagnosis) for patients aged 15-24 years. We calculated incidence for visits and used incidence rate ratios (IRR) for comparisons. Psychotropic medication purchases for patients aged 13-24 years were included. Annual psychotropic medication user prevalence per 1000 was calculated and prevalence rate ratios (PRR) with 95% confidence intervals (CI) were used for comparisons. The years 2020 and 2021 were compared to the pre-pandemic reference year 2019.

RESULTS

A total of 396534 visits to primary care due to mental health problems were included. Annual visit incidences per 1000 were 151.7 in 2019, 193.6 in 2020, and 306.7 in 2021, indicating a 28% (IRR 1.28, CI 1.27-1.29) increase from 2019 to 2020 and a 102% (IRR 2.02, CI:2.01-2.04) increase from 2019 to 2021. Highest reported increases in 2020 were sleeping disorders (IRR 1.79, CI 1.72-1.87) and anxiety disorders (IRR 1.39, CI 1.37-1.42). Prevalence of antidepressant use increased by 25% (PRR 1.25, CI 1.23-1.26) in 2021. An increase was also seen in the use of antipsychotics (+ 19%, PRR 1.19. CI 1.16-1.21).

CONCLUSIONS

The COVID-19 pandemic increased the need for mental health services and medication among Finnish adolescents and young adults. Our health care system needs the capacity to manage the increased number of visits, and we must be better prepared for future crises.

The Association of Internet Use Intensity and Lifestyle Behaviors During the COVID-19 Pandemic: A Cross-Sectional Study in Chinese Adults

The COVID-19 pandemic substantially increased the intensity of internet use in humans, which has made public opinion around health and public perceptions of it more vital, and this phenomenon has had a significant impact on human lifestyle behavior. This study used cross-sectional data during the COVID-19 pandemic to explore how internet use intensity influenced lifestyle behaviors among adults, and compared the differences between samples of different ages. The findings showed that the internet use intensity among adults increased the probability of physical activity, staying up late, and high-quality eating behaviors, and that they had a statistically significant positive association. Such associations were also found in independent younger, middle-aged, and older samples. However, the internet use intensity elevated the probability of body weight gain only in the independent samples of younger, middle-aged, and older adults. Besides, internet use intensity was able to increase the probability of smoking & drinking only among the younger sample. Notably, the effect of internet use intensity on lifestyle behaviors, including body weight gain, physical activity, staying up late, and a high-quality diet, was strongest among the elderly, followed by the middle-aged, and weakest among the younger. In the process of rural and urban governance regarding citizens' health, public health agencies should remind citizens to spend a reasonable amount of time on internet use to reduce the probability of unhealthy lifestyle behaviors and improve their physical health.