Longitudinal Relations Between Emotion Regulation and Internalizing Symptoms in Emerging Adults During the Covid-19 Pandemic.

Background: Maladaptive and adaptive emotion regulation are putative risk and protective factors for depression and anxiety, but most prior research does not differentiate within-person effects from between-person individual differences. The current study does so during the early part of the Covid-19 pandemic when internalizing symptoms were high. Methods: A sample of emerging adult undergraduate students (N = 154) completed online questionnaires bi-weekly on depression, anxiety, and emotion regulation across eight weeks during the early days of the Covid-19 pandemic (April 2nd to June 27th, 2020). Results: Depression demonstrated significantly positive between-person correlations with overall maladaptive emotion regulation, catastrophizing, and self-blame, and negative correlations with overall adaptive emotion regulation and reappraisal. Anxiety demonstrated significantly positive between-person correlations with overall maladaptive emotion regulation, rumination, and catastrophizing, and a negative correlation with reappraisal. After controlling for these between-person associations, however, there were generally no within-person associations between emotion regulation and internalizing symptoms. Conclusions: Emotion regulation and internalizing symptoms might be temporally stable individual differences that cooccur with one another as opposed to having a more dynamic relation. Alternatively, these dynamic mechanisms might operate over much shorter or longer periods compared to the two-week time lag in the current study. Supplementary Information: The online version contains supplementary material available at 10.1007/s10608-023-10366-9.

Depressive symptoms and social support among Australian men: A 7-year longitudinal study.

BACKGROUND: Mental health disorders are ranked globally as the single largest contributor to non-fatal ill-health. Social support can be a means of reducing and managing depression. However, depression can also impact on a person's level of social support. OBJECTIVE: As men typically have fewer sources of social support than females, this study investigated the bi-directional associations between depressive symptoms and perceived levels of social support among Australian males, aged 18-63. METHODS: Three waves of panel data from Ten to Men: The Australian Longitudinal Study on Male Health collected over 7 years (2013-2020) were used. A random intercept cross-lagged panel analysis with 5112 participants was undertaken. Mediating effects and indirect and total effects for lagged and cross-lagged pathways were also examined. RESULTS: Over time, greater social support was found to be associated with lower depression levels, and simultaneously greater levels of depression was found to be associated with lower levels of social support. Standardised cross-lagged effects between waves were mostly similar (ß = 0.10). However, mediation analyses identified that only the total effect size of the association for depression at wave 1 predicting social support at wave 3 (ß = -0.29) was significant. Mediated effects of social support at wave 1 predicting depression at wave 3 were not significant. LIMITATIONS: These include the number of years between each wave, and data were collected during the COVID pandemic. CONCLUSION: The study provides robust longitudinal evidence supporting the notion that social support and depression are both a cause and consequence of the other. However, the long-term effects of depression reducing social support were longer lasting than the effects of social support reducing depression.

Beliefs in Times of Corona: Investigating the Relationship Between Media Use and COVID-19 Conspiracy Beliefs Over Time in a Representative Dutch Sample

We investigated the relationship between different media sources (traditional media, online news media, online health sources, social media) and COVID-19 related conspiracy beliefs, and how these change over time, using four-wave panel data from a representative sample of the Dutch population (N = 1,166). Across waves, 0.1%–3.4% of our sample were certain the selected conspiracy theories were true, though this belief was unstable over time. Random intercept cross-lagged panel models revealed that individuals' temporary level of conspiracy beliefs did not significantly depend on their temporary level of media use at a previous occasion, or vice versa. However, significant correlations at the group level indicated that more frequent use of health-related and social media sources were associated with higher levels of conspiracy beliefs. These results suggest that relationships between media use and conspiracy beliefs are nuanced. Underlying processes should be investigated to develop tailored communication strategies to combat the ongoing infodemic. © 2023 (Marloes van Wezel, Emiel Krahmer, Ruben Vromans, and Nadine Bol). Licensed under the Creative Commons Attribution Non-commercial No Derivatives (by-nc-nd). Available at http://ijoc.org.

Increased belief in vaccination conspiracy theories predicts increases in vaccination hesitancy and powerlessness: Results from a longitudinal study.

RATIONALE: Vaccinations are an important part of a public health strategy against preventable diseases, and uptake is influenced by factors including hesitancy. The belief of vaccine related misinformation including anti-vaccination conspiracy theories has been found to be associated with increased vaccine hesitancy. OBJECTIVE: While research suggests that these conspiracy theory beliefs may arise to satisfy unmet needs such as restoring loss of personal control, somewhat ironically these anti-vaccination conspiracy theories may frustrate these needs. This study examined the causal relationships between vaccination hesitancy, vaccination conspiracy theories, and vaccination related powerlessness. METHODS: Using a stationary random intercepts cross lagged panel model, we investigated the temporal ordering of vaccination hesitancy, powerlessness, and vaccination conspiracy theory beliefs in a sample of Australian adults (N = 500) in a longitudinal study with 5-timepoints over 4-months between June and October 2021. RESULTS: Results from a random intercept cross-lagged model, that separates between-person stability from within-person change, suggested that increased belief in vaccination conspiracy theories was associated with future increases in vaccination hesitancy and powerlessness (but not vice versa). Findings also showed that increases in vaccination hesitancy and conspiracy theory beliefs predicted respective increases from a person's trait-level mean at subsequent timepoints. CONCLUSIONS: Vaccination conspiracy theories appear to increase vaccination powerlessness and hesitancy, rather than satisfying an unmet need for personal control.

An examination of the reciprocal associations between physical activity and anxiety, depressive symptoms, and sleep quality during the first 9 weeks of the COVID-19 pandemic in Belgium.

During the initial outbreak of the global COVID-19 pandemic, many countries imposed a total lockdown (containment at home). Although it was still allowed in Belgium to be physically active or exercise with people from your household in the vicinity of your home, engaging in sports or physical activity in a group or club context was no longer permitted. To examine whether a lack of physical activity was potentially threatening to the mental well-being of citizens and vice versa, the present study examined concurrent and reciprocal relationships between physical activity and anxiety, depressive symptoms, and sleep quality during the COVID-19 lockdown in a 9-week longitudinal design. In a sample of 983 Belgian adults (75.1% female; M age = 43.78, range = 18-82 years), we explored these relationships at both the between- and within-person levels through random intercept cross-lagged panel models. The findings indicate that more physical activity was associated with lower symptoms of anxiety and depression and better sleep quality, a finding observed both at the between-person (across weeks; ßanxiety = -0.25, ßdepression = -0.30, ßsleep quality = 0.24, p < .001) and within-person level (within weeks; ßanxiety = -0.10, ßdepression = -0.14, ßsleep quality = 0.11, p < .05). Moreover, at the within-person level, an increase in feelings of anxiety and depression at one moment predicted lower levels of physical activity one week later (ßanxiety = -0.04, ßdepression = -0.06, p < .05). Since poor mental health poses a threat to the maintenance of physical activity, the current findings suggest that it is critical to invest in the mental health of individuals during distressing times.

A three-wave panel study on longitudinal relations between problematic social media use and psychological distress during the COVID-19 pandemic.

BACKGROUND: It still remains unclear whether problematic social media use (PSMU) is a cause or a consequence of psychological distress. The present study aimed to investigate the temporal relationships between PSMU and psychological distress through a three-wave panel study (between April and July 2020, with an interval of 1 month between each period of time). METHODS: 3,912 adult Italian participants were surveyed during the COVID-19 pandemic for psychological distress (Depression, Anxiety and Stress Scale) and PSMU (Bergen Social Media Addiction Scale). Random-Intercept Cross-Lagged Panel Models were applied to disaggregate between-person from within-person associations as regards PSMU and an individual's distress. RESULTS: On a between-person level we found that adults with higher PSMU also reported heightened levels of psychological distress across the three waves. However, on a within-person level, no cross-lagged associations were found between changes in distress and subsequent changes in PSMU and vice versa. The results were largely unchanged with the inclusion of participants' gender and age or COVID-19-related fears as covariates, and when the three subscales of depression, anxiety and stress were examined in separate models. CONCLUSIONS: The current study suggests that the link between PSMU and psychological distress is mainly driven by trait-like differences and not by state-like individual changes over time.

Use of Random Domain Intercept Technology to Track COVID-19 Vaccination Rates in Real Time Across the United States: Survey Study.

BACKGROUND: Accurate and timely COVID-19 vaccination coverage data are vital for informing targeted, effective messaging and outreach and identifying barriers to equitable health service access. However, gathering vaccination rate data is challenging, and efforts often result in information that is either limited in scope (eg, limited to administrative data) or delayed (impeding the ability to rapidly respond). The evaluation of innovative technologies and approaches that can assist in addressing these limitations globally are needed. OBJECTIVE: The objective of this survey study was to assess the validity of Random Domain Intercept Technology (RDIT; RIWI Corp) for tracking self-reported vaccination rates in real time at the US national and state levels. RDIT-a form of online intercept sampling-has the potential to address the limitations of current vaccination tracking systems by allowing for the measurement of additional data (eg, attitudinal data) and real-time, rapid data collection anywhere there is web access. METHODS: We used RDIT from June 30 to July 26, 2021, to reach a broad sample of US adult (aged ≥18 years) web users and asked questions related to COVID-19 vaccination. Self-reported vaccination status was used as the focus of this validation exercise. National- and state-level RDIT-based vaccination rates were compared to Centers for Disease Control and Prevention (CDC)-reported national and state vaccination rates. Johns Hopkins University's and Emory University's institutional review boards designated this project as public health practice to inform message development (not human subjects research). RESULTS: By using RDIT, 63,853 adult web users reported their vaccination status (6.2% of the entire 1,026,850 American web-using population that was exposed to the survey). At the national level, the RDIT-based estimate of adult COVID-19 vaccine coverage was slightly higher (44,524/63,853, 69.7%; 95% CI 69.4%-70.1%) than the CDC-reported estimate (67.9%) on July 15, 2021 (ie, midway through data collection; t63,852=10.06; P<.001). The RDIT-based and CDC-reported state-level estimates were strongly and positively correlated (r=0.90; P<.001). RDIT-based estimates were within 5 percentage points of the CDC's estimates for 29 states. CONCLUSIONS: This broad-reaching, real-time data stream may provide unique advantages for tracking the use of a range of vaccines and for the timely evaluation of vaccination interventions. Moreover, RDIT could be harnessed to rapidly assess demographic, attitudinal, and behavioral constructs that are not available in administrative data, which could allow for deeper insights into the real-time predictors of vaccine uptake-enabling targeted and timely interventions.

The impact of screen time and green time on mental health in children and adolescents during the COVID-19 pandemic.

The COVID-19 pandemic has affected the life of children and adolescents in an unprecedented way. In the present study, we focused on two activities that have been likely affected by mitigation measures: screen time and green time. We investigated how both influenced each other during the pandemic, how they affected children's and adolescents' mental health, and which role socio-demographic characteristics have in predicting screen time, green time, and mental health. We used data collected between autumn 2020 and spring 2021 from 844 participants aged 5 to 19 of a population-based, prospective cohort study in Canton Ticino, Italian-speaking Switzerland. We analyzed the data using an extended version of the Random Intercept Cross-Lagged Panel Model with time-invariant socio-demographic covariates and mental health as outcome. Results showed that, at the between-person level, screen time was a risk factor and green time a protective factor of mental health. However, within-person deviations of screen time and green time during the pandemic did not consistently predict mental health. Furthermore, they did not influence each other over time. Gender, age, perceived economic situation of the family, Body Mass Index and the availability of green space nearby all influenced stable measures of green time and screen time (i.e., random intercepts). Our results highlight the need for targeted actions to promote green time and raise awareness about the detrimental effect of screen time on children's and adolescents' mental health.

No party no joy?-Changes in university students' extraversion, neuroticism, and subjective well-being during two COVID-19 lockdowns.

The COVID-19 lockdowns represent a major life event with an immense impact on university students' lives. Findings prior to the pandemic suggest that changes in personality and subjective well-being (SWB) can occur after critical life events or psychological interventions. The present study examined how university students' extraversion, neuroticism, and SWB changed during two COVID-19 lockdowns in Germany. To this end, we conducted a partly preregistered, two-cohort study with four measurement points each from October 2019 to May 2021 (NStudy 1 = 81-148, NStudy 2 = 82-97). We used both multilevel contrast analyses and multi-group random-intercept cross-lagged panel models to examine within-person changes over time. Levels of life satisfaction, extraversion, and, unexpectedly, neuroticism were lower during both lockdowns. Students' affect improved during the first but deteriorated during the second lockdown, suggesting that similar experiences with the deceleration of daily life were associated with different affective outcomes during the two lockdown periods. Following the introduction or termination of a lockdown, changes in extraversion (neuroticism) were consistently positively (negatively) associated with changes in SWB. Our results stress the importance of disentangling between- and within-person processes and using pre-COVID baseline levels to examine changes in personality and SWB.

The 4-Year Experience with Implementation and Routine Use of Pathogen Reduction in a Brazilian Hospital.

(1) Background: We reviewed the logistics of the implementation of pathogen reduction (PR) using the INTERCEPT Blood System™ for platelets and the experience with routine use and clinical outcomes in the patient population at the Sírio-Libanês Hospital of São Paulo, Brazil. (2) Methods: Platelet concentrate (PC), including pathogen reduced (PR-PC) production, inventory management, discard rates, blood utilization, and clinical outcomes were analyzed over the 40 months before and after PR implementation. Age distribution and wastage rates were compared over the 10 months before and after approval for PR-PC to be stored for up to seven days. (3) Results: A 100% PR-PC inventory was achieved by increasing double apheresis collections and production of double doses using pools of two single apheresis units. Discard rates decreased from 6% to 3% after PR implementation and further decreased to 1.2% after seven-day storage extension for PR-PCs. The blood utilization remained stable, with no increase in component utilization. A significant decrease in adverse transfusion events was observed after the PR implementation. (4) Conclusion: Our experience demonstrates the feasibility for Brazilian blood centers to achieve a 100% PR-PC inventory. All patients at our hospital received PR-PC and showed no increase in blood component utilization and decreased rates of adverse transfusion reactions.

Dynamic relationships between different types of conspiracy theories about COVID-19 and protective behaviour: A four-wave panel study in Poland.

RATIONALE: Conspiracy theories about COVID-19 pose a serious threat to public health by providing false information and undermining official health recommendations. However, existing studies rarely employed longitudinal designs, precluding the determination of the directionality between endorsement of conspiracy theories and its societal consequences. Also, relatively little research examined whether the association between protective health behaviour and the endorsement of conspiracy theories is affected by the content of a given theory. METHODS: A four-wave longitudinal panel survey on the association between belief in a wide range of conspiracy theories about COVID-19 and protective behaviour was carried out on a representative sample of Polish citizens (T1 = 1130, T2 = 971, T3 = 818, T4 = 688). Analyses were performed using Random Intercept Cross-Lagged Panel Models. RESULTS: The results showed a reciprocal, bidirectional association between conspiracy mentality and protective behaviour. The same effect was also observed between protective behaviour and threat of authoritarianism. We did not find evidence that specific COVID-19 related conspiracy theories directly (and differently) predict within-person changes in protective behaviour over time. CONCLUSIONS: Our results showed that the association between various conspiracy-related variables and anti-pandemic COVID-19 variables differs at within- and between-person levels. Changes in the adherence to pro-health measures were negatively predicted by conspiracy mentality and a feeling of threat that the solutions introduced by the government may limit civil rights. Specific conspiracy beliefs were significantly related to protective behaviour only at the between-person level.

Forecasting the Covid-19 recession and recovery: Lessons from the financial crisis.

We consider simple methods to improve the growth nowcasts and forecasts obtained by mixed-frequency MIDAS and UMIDAS models with a variety of indicators during the Covid-19 crisis and recovery period, such as combining forecasts across various specifications for the same model and/or across different models, extending the model specification by adding MA terms, enhancing the estimation method by taking a similarity approach, and adjusting the forecasts to put them back on track using a specific form of intercept correction. Among these methods, adjusting the original nowcasts and forecasts by an amount similar to the nowcast and forecast errors made during the financial crisis and subsequent recovery seems to produce the best results for the US, notwithstanding the different source and characteristics of the financial crisis. In particular, the adjusted growth nowcasts for 2020Q1 get closer to the actual value, and the adjusted forecasts based on alternative indicators become much more similar, all unfortunately indicating a much slower recovery than without adjustment, and very persistent negative effects on trend growth. Similar findings also emerge for forecasts by institutions, for survey forecasts, and for the other G7 countries.