Longitudinal association between problematic smartphone use and sleep disorder among Chinese college students during the COVID-19 pandemic.

BACKGROUND: Problematic smartphone use (PSU) and sleep disorders (SD) are common public health problems among college students. While previous cross-sectional studies have found a relationship between PSU and SD, the causal direction of this relationship remains unclear. This study aims to examine the longitudinal changes of PSU and SD during the COVID-19 pandemic, determine the causal relationship between them, and identify confounding factors that affect this association. METHODS: The study sample consisted of 1186 Chinese college students (47.7% male) with a mean age of 18.08 years. Participants completed the Smartphone Addiction Scale - Short Version (SAS-SV) and the Pittsburgh Sleep Quality Index (PSQI) at both baseline and follow-up surveys, conducted one year apart. The cross-lagged panel model (CLPM) was used to examine the causal relationship between PSU and SD, stratified by gender and duration of daily physical activity. The fixed effect panel regression was used to confirm the findings of CLPM. RESULTS: The results of the CLPM analysis showed a significant bidirectional relationship between PSU and SD for the overall sample, which was consistent with the fixed effects model findings. However, subgroup analyses revealed that the bidirectional association disappeared among males or those who engaged in daily physical activity for more than 1 h. CONCLUSIONS: Our study shows a significant bidirectional association between PSU and SD, with variations across gender and daily physical activity levels. Encouraging physical activity may serve as a potential intervention to disrupt the bidirectional association between PSU and SD, which has important implications for public health strategies aimed at reducing the negative consequences of PSU and SD.

Exploring the Impact of Covid-19-Related Perceptions on Psychological Distress and Quality of Life in an International Gastrointestinal Cohort Over Time Guided by the Common Sense Model.

The aim of this longitudinal study was to examine changes in COVID-19 and illness-related perceptions, gastrointestinal symptoms, coping, catastrophising, psychological distress, and QoL during the COVID-19 pandemic. A total of 831 adults with a gastrointestinal condition completed an online questionnaire at baseline (May-October 2020). Of those, 270 (32.5%) participants (85.2% female, mean age = 47.3 years) provided follow-up data (March-May 2021). Repeated-measures multiple analysis of variance and a cross-lagged panel model were used to test the study hypotheses. Gastrointestinal symptoms and COVID-19 perceptions at follow-up were strongly predicted by their baseline values, while illness perceptions were predicted by baseline gastrointestinal symptoms. Cross-lagged relationships indicated a reciprocal relationship between gastrointestinal symptoms and psychological distress. Moreover, gastrointestinal symptoms had substantial predictive utility, strongly predicting future gastrointestinal symptoms, and to a lesser extent, more negative illness perceptions, greater psychological distress, and greater use of adaptive coping strategies across time.

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.

Cross-lagged relationship between anxiety, depression, and sleep disturbance among college students during and after collective isolation.

Object: Repeated quarantine policies over the past 3 years have led to poor psychological consequences for the public. Previous studies have proved that the quarantine policy leaves individuals vulnerable to anxiety, depression, and insomnia, especially among college students. This study aims to explore whether psychological problems during isolation continue with the release of isolation. Methods: Overall, 2,787 college students both answered a web-based survey during and after the closure management was lifted. The Patient Health Questionnaire, Generalized Anxiety Disorder Scale, and Youth Self-rating Insomnia Scale were measured. The cross-lagged path model was used to explore the influence of psychological impact during isolation on the individual after the release. Results: We found that anxiety and sleep disturbance levels alleviated significantly after quarantine, except for depression. As expected, a bidirectional relationship exists between anxiety, depression, and sleep disturbance. Moreover, depression and sleep disturbance can predict post quarantine depression, sleep disturbance, and anxiety, yet anxiety cannot predict sleep disturbance afterward. Conclusion: Timely and effective intervention for anxiety, depression, and insomnia during isolation is essential for individuals to repair themselves quickly after the release.

Bidirectional associations between paternal postpartum depression symptoms and coparenting: A cross-lagged panel model of fathers of infants and toddlers.

BACKGROUND: Finding modifiable predictors of paternal depression symptoms is helpful for developing interventions. The aim is to assess the unidirectional and/or bidirectional associations between paternal postpartum depression symptoms and coparenting among fathers of infants and toddlers. METHODS: Longitudinal data were collected prospectively from 429 fathers of infants aged 0-24 months (median = 8 months) in Sweden, with 6- and 18-month follow-ups. All fathers participated in at least two of three waves of data collection, and multiple imputation was used for missing values. The Edinburgh Postnatal Depression Scale was used to detect depression symptoms (≥10 points), while the Brief Coparenting Relationship Scale measured the coparenting relationship. A cross-lagged panel model was used to estimate the associations between paternal depression symptoms and coparenting relationship quality over time, controlling for several known covariates and COVID-19 exposure. RESULTS: Fathers with higher coparenting scores at Time 1 and 2 had less depression symptoms at Time 3, and fathers with more depression symptoms at Time 2 had lower coparenting scores at Time 3. Plotted probabilities of having at least mild depression symptoms revealed a multifold increase in the probability of depression symptoms at Time 3 for fathers with minimal coparenting scores at Times 1 and 2, respectively, compared to fathers with mean coparenting scores at Times 1 and 2, respectively. LIMITATIONS: Causal links cannot be determined using the current non-experimental study design. Using the EPDS alone may have missed some fathers with depression symptoms. CONCLUSIONS: Clinicians seeking to reduce paternal depression symptoms should help strengthen the coparenting relationship.

Exploring attitude-behaviour dynamics during COVID-19: How fear of infection and working from home influence train use and the attitude toward this mode.

Research on the relationships between travel-related attitudes and travel behaviour has recently been reinvigorated by new theorizing as well as new empirical models. While traditional theories assume a rather static role of attitudes, i.e. acting as stable predispositions that cause behaviours in a unidirectional manner, recent models assume that attitudes and behaviours mutually influence each other over time. This study aims at better understanding attitude-behaviour dynamics by capitalizing on the circumstances presented by the ongoing COVID-19 pandemic. It assesses how the fear of COVID-19 infection and (the attitude towards) working-from-home influence train use as well as train use attitudes. To explore the (within-person) reciprocal relationships between these variables, random-intercept cross-lagged panel models were estimated using a 4-wave longitudinal dataset collected during the COVID-19 pandemic from a large panel of train travellers in the Netherlands. The results indicate that train use and the attitude towards train use reciprocally influence each other. Those with stronger fears of infection in one wave tend to use the train less in a subsequent wave, but higher use of the train in one wave also reduces the fear of infection in the next. We also found that working from home (WFH) and travelling by train operate as substitutes for one another. Moreover, people who work from home frequently become more fearful of infection. All the findings are consistent with cognitive dissonance theory that people develop attitudes that align with their behaviours. The paper concludes with several policy implications related to changing attitudes and promoting train use.

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.

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.

Physical activity and depressive symptoms among community-dwelling older adults in the COVID-19 pandemic era: A three-wave cross-lagged study.

The aim of the study is to determine the trajectories of physical activity and depressive symptoms and their reciprocal relationship among community-dwelling older adults in the COVID-19 pandemic era. The study population consisted of a cohort of 511 participants aged 60 years and over, who were recruited from eight community health centers in Ya'an, China. The Physical Activity Scale for the Elderly and the Patient Health Questionnaire were respectively used to measure physical activity and depressive symptoms at three time points: before the COVID-19 outbreak (T0), during the outbreak period (T1), and after the subsidence of COVID-19 (T2). The results revealed that physical activity and depressive symptoms fluctuated substantially across T0, T1, and T2. In addition, more severe depressive symptoms at T0 and T1 were significantly associated with lower levels of physical activity at T1 and T2, but the obverse direction of physical activity being associated with subsequent depressive symptoms was not observed in the current study. These findings highlight the importance of supporting old people to remain physically active and combat mental distress early in a pandemic, and prevention and management of depressive symptoms may also be beneficial to promote physical activity.

Longitudinal assessment of the common sense model before and during the COVID-19 pandemic: A large coeliac disease cohort study.

OBJECTIVE: Psychosocial factors likely play a substantial role in the well-being of those living with coeliac disease, especially during the COVID-19 pandemic, however, little research has examined well-being in this cohort using an integrated socio-cognitive model. This study had two aims: (1) Examine changes in gastrointestinal symptoms, psychosocial factors, and well-being outcomes (i.e., psychological distress, quality of life [QoL]) associated with the pandemic, (2) Examine the interrelationship of these variables across timepoints using the Common Sense Model (CSM). METHODS: 1697 adults with coeliac disease (Time 1, pre-pandemic; 83.1% female, mean age = 55.8, SD = 15.0 years) and 674 follow-up participants (Time 2, pandemic; 82.8% female, mean age = 57.0, SD = 14.4 years) completed an online questionnaire. Hypotheses were tested using repeated measures MANOVA and cross-lagged panel model analyses. RESULTS: Participants reported improved QoL, and reduced gastrointestinal symptoms, negative illness perceptions and maladaptive coping from pre-pandemic to during the pandemic. There was no significant change in pain catastrophising or psychological distress. Cross-lagged effects showed gastrointestinal symptoms to predict negative illness perceptions, which in turn were predictive of poorer outcomes across all variables except pain catastrophising. Consistent with the CSM, there was a reciprocal relationship between illness perceptions and QoL over time. Maladaptive coping and pain catastrophising demonstrated limited predictive utility. CONCLUSION: The COVID-19 pandemic appears to have had a small beneficial effect across several indices of well-being among adults with coeliac disease. Cross-lagged relationships highlight illness perceptions as a predictor of well-being outcomes and a potential target for psychosocial interventions.