The dynamic relationships between well-being, behavioral restrictions, and health behaviors during the COVID-19 pandemic: A large-scale intensive longitudinal network study.

The behavioral restrictions disrupting daily life during the COVID-19 pandemic have profoundly impacted well-being, and health behaviors have been advocated to prevent decline. To understand how processes related to fluctuation in well-being unfold within individuals, analyses on the within-person level are required. In this preregistered intensive longitudinal study, 1,709 individuals from the Norwegian adult population provided data daily over 40 consecutive days during the pandemic. The responses were modeled in a multilevel vector autoregressive model to estimate within-person networks, across and within-day, and a between-person network. All three networks revealed productivity, relatedness, and optimism as positively associated. Social distancing was contemporaneously negatively associated with productivity and relatedness. Among behavioral factors, being physically active predicted lower relatedness across days but displayed positive associations with relatedness, productivity, and optimism contemporaneously. Alcohol consumption predicted lower productivity across and within-day, although revealing a positive association with optimism within-day. Being social online and feeling related to others displayed a temporal negative bidirectional relationship. In contrast, being social online was positively associated with optimism, productivity, and relatedness contemporaneously. Our study emphasizes the dynamic nature of well-being and its complex associations with behavioral factors during the pandemic. The study shed light on opposing associations of behavioral factors at the within- and between-person level.

Towards precision in the diagnostic profiling of patients: leveraging symptom dynamics as a clinical characterisation dimension in the assessment of major depressive disorder.

BACKGROUND: International guidelines present overall symptom severity as the key dimension for clinical characterisation of major depressive disorder (MDD). However, differences may reside within severity levels related to how symptoms interact in an individual patient, called symptom dynamics. AIMS: To investigate these individual differences by estimating the proportion of patients that display differences in their symptom dynamics while sharing the same overall symptom severity. METHOD: Participants with MDD (n = 73; mean age 34.6 years, s.d. = 13.1; 56.2% female) rated their baseline symptom severity using the Inventory for Depressive Symptomatology Self-Report (IDS-SR). Momentary indicators for depressive symptoms were then collected through ecological momentary assessments five times per day for 28 days; 8395 observations were conducted (average per person: 115; s.d. = 16.8). Each participant's symptom dynamics were estimated using person-specific dynamic network models. Individual differences in these symptom relationship patterns in groups of participants sharing the same symptom severity levels were estimated using individual network invariance tests. Subsequently, the overall proportion of participants that displayed differential symptom dynamics while sharing the same symptom severity was calculated. A supplementary simulation study was conducted to investigate the accuracy of our methodology against false-positive results. RESULTS: Differential symptom dynamics were identified across 63.0% (95% bootstrapped CI 41.0-82.1) of participants within the same severity group. The average false detection of individual differences was 2.2%. CONCLUSIONS: The majority of participants within the same depressive symptom severity group displayed differential symptom dynamics. Examining symptom dynamics provides information about person-specific psychopathological expression beyond severity levels by revealing how symptoms aggravate each other over time. These results suggest that symptom dynamics may be a promising new dimension for clinical characterisation, warranting replication in independent samples. To inform personalised treatment planning, a next step concerns linking different symptom relationship patterns to treatment response and clinical course, including patterns related to spontaneous recovery and forms of disorder progression.

Fear of giving birth alone: Experiences of psychological distress, symptoms of anxiety and depression, and coping- strategies of childbearing women during COVID-19.

BACKGROUND: Psychological distress during pregnancy is a well-documented risk factor for adverse maternal outcomes. Distress related to the COVID-19 pandemic may further increase the vulnerability of pregnant women to negative mental health outcomes. AIM: To explore the mental health experiences of pregnant women, focusing on mental health outcomes, challenges related to the pandemic, coping strategies, and factors buffering mental health factors during the restricted COVID-19 lockdown period. METHODS: A mixed-methods survey study was conducted, examining symptoms of anxiety, depression, and burnout among 21 pregnant women. Qualitative data were gathered through open-ended questions about participants' experiences of challenges, coping strategies and buffering factors amid the pandemic. Symptoms of anxiety, depression and burnout were calculated, and qualitative data was thematically analyzed. RESULTS: Approximately one-third (24 %) of the respondents reported clinically significant levels of depression, 19 % reported clinically significant levels of anxiety, and 43 % reported experiencing burnout. All participants reported distress and emotional burden, including fear, worry, stress and anxiety related to the pandemic. Specific concerns such as fear of giving birth alone, fear of the consequences due to lockdown restrictions, insufficient information, disruption of prenatal healthcare services, and fear of miscarriage were prevalent among the participants. Social support, financial stability, stable relationships, adherence to daily routines, reduced stress and social demands, a calmer daily life, physical activity, and less work-related stress including working from home, emerges as buffering factors that aided women in coping with pandemic-related distress. CONCLUSION: Healthcare providers should prioritize stability, predictability, and minimizing disruptions to prenatal care. Broad-based screening is crucial to identify women at risk of depression, anxiety, and burnout. Recommendations for clinical pathways aimed at pregnant women are discussed.

Stressful life events exhibit complex patterns of associations with depressive symptoms in two population-based samples using network analysis.

BACKGROUND: Stressful life events (SLEs) constitute key risk factors for depression. However, previous studies examining associations between SLEs and depression have been limited by focusing on single events, combining events into broad categories, and/or ignoring interrelationships between events in statistical analyses. Network analysis comprises a set of statistical methods well-suited for assessing relationships between multiple variables and can help surpass several limitations of previous studies. METHODS: We applied network analysis using mixed graphical models combining two large-scale population-based samples and >34,600 randomly sampled adults to investigate the associations between SLEs and current depressive symptoms in the general population. RESULTS: Numerous SLEs were uniquely associated with specific symptoms. Strong pairwise links were observed between SLEs during the past year and individual symptoms, e.g., between having experienced illness or injury and sleeping problems, having been degraded or humiliated and feeling blue, and between financial problems and hopelessness and being worried and anxious. Several SLEs, such as financial problems, sexual abuse, and having been degraded or humiliated, were associated with symptoms across more than one timepoint. More recent SLEs were generally more strongly associated with depressive symptoms. Several life events were strongly interrelated, such as multiple forms of abuse, and financial problems, unemployment, divorce, and serious illness or injury. LIMITATIONS: Limitations include a retrospective SLE measure, cross-sectional data, a brief self-report measure of depressive symptoms, and possible attrition bias in the sample. CONCLUSIONS: Our findings may have implications for public health efforts seeking to improve population mental health.

Coping style and mental health amid the first wave of the COVID-19 pandemic: a culture-moderated meta-analysis of 44 nations.

In the first wave of the COVID-19 pandemic, the rapid transmission of a novel virus and the unprecedented disease-mitigation measures have elicited considerable stress in many countries worldwide. Coping with pandemic stress may be differentially related to psychological symptoms across countries characterised by distinct cultural values. This study aimed to: (a) synthesise the literature by investigating the associations between some major types of coping style and psychological symptoms, and (b) investigate the moderating effects of culture on these associations. We performed a three-level random-effects meta-analysis, which included 151 independent samples from 44 countries across eight world regions (n = 137,088, 66% women, Mage = 36.08). For both problem-focused and avoidant coping styles, their hypothesised associations with psychological symptoms were robust across the countries (anxiety: rs = -.11 and .31; depression: rs = -.19 and .33; ps < .0001). For both emotion-focused and social support seeking styles, their associations with psychological symptoms were moderated by two Hofstede's cultural dimensions: uncertainty avoidance (intolerance of ambiguity) and masculinity (concern for achievement and success). The hypothesised negative coping style-symptom associations were found only in the countries with lower levels of uncertainty avoidance or masculinity, but opposite patterns of findings were found in those with higher levels of either of these two cultural dimensions.

Mental health and environmental factors in adults: A population-based network analysis.

Few studies have assessed the multifactorial nature of environmental influences on population mental health. In this large-scale, population-based study of adults, we applied network analysis to study the relationship between environmental factors and symptoms of depression, anxiety, and well-being. We estimated networks with overall mental health nodes and individual symptoms to assess both broad and fine-grained associations between environmental factors and mental health. Finally, we conducted an out-of-sample replication in an independent large-scale sample to assess the robustness of our results. Across 31,000 adults randomly sampled from the Norwegian population, we identified associations between numerous environmental characteristics and mental health. Recent discrimination and unsupportive social environments were strongly associated with lower population well-being and higher levels of mental illness symptoms, respectively. The most strongly connected variables in the networks were environmental factors, including perceived problems with crime, violence, or vandalism in the residential area, worrying about violence or threats when outside, and problems with noise or contamination at home. Substantial variation in population mental health was explained by environmental factors included in the networks. Replicability of the results was excellent and suggestive of strong robustness of the results across samples. Our findings are indicative of the importance of environmental factors, such as the social environment, housing satisfaction, and residential area characteristics, for multiple aspects of population mental health. We identify several environmental factors that represent potentially useful targets for future studies and public health efforts seeking to improve mental health in the general population. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Triggered by worry: A dynamic network analysis of COVID-19 pandemic-related anxiety and parental stress.

BACKGROUND: Major disruptions to daily life routines made families and parents particularly vulnerable to psychological distress during the COVID-19 lockdowns. However, the specific psychopathological processes related to within-person variation and maintenance of anxiety symptomatology and parental distress components in the parental population have been largely unexplored in the literature. METHODS: In this preregistered intensive longitudinal study, a multilevel dynamic network was used to model within-person interactions between anxiety symptomatology, psychopathological processes, parental distress, and protective lifestyle components in a sample of 495 parents-each responding to daily assessments over a 40-day period. A total of 30,195 observations were collected across the subjects. RESULTS: Extensive worry, threat monitoring, and uncontrollability of worry were identified as overreaching psychopathological processes related to the aggravation of other symptoms of anxiety and parental distress. A strong association was found between parental stress and parental burnout. Anger toward one's child was associated with both parental stress and parental burnout. Protective factors showed the lowest strength centrality, with few and weak connections to other symptoms and processes in the network. LIMITATIONS: Associations may exist between the study variables on a different time scale; hence, different time lags should be used in future research. CONCLUSIONS: Accessible, low-cost interventions that address worry, threat monitoring, and the uncontrollability of worry could serve as potential targets for reducing the symptom burden of anxiety and distress in the parental population.

Use of substances to cope predicts posttraumatic stress disorder symptom persistence: Investigating patterns of interactions between symptoms and its maintaining mechanisms.

OBJECTIVE: Posttraumatic stress disorder (PTSD) remains a growing public health challenge across the globe and is associated with negative and persistent long-term consequences. The last decades of research have identified different mechanisms associated with the development and persistence of PTSD, including maladaptive coping strategies, cognitive and experiential avoidance, and positive and negative metacognitions. Despite these advances, little is known about how these different processes interact with specific PTSD symptoms, and how they influence each other over time at the within-person level. METHOD: Leveraging a large (N > 1,800) longitudinal data set representative of the Norwegian population during the COVID-19 pandemic, this preregistered study investigated these symptom-process interactions over four assessment waves spanning an 8-month period. RESULTS: Our panel graphical vector autoregressive network model revealed the dominating role of substance use to cope in predicting higher levels of PTSD symptoms over time and increases in PTSD symptomatology within more proximal time windows (i.e., within 6 weeks). Threat monitoring was associated with increased suicidal ideation, while threat monitoring itself was increasing upon decreased avoidance behavior, greater presence of negative metacognitions, and higher use of substances to cope. CONCLUSIONS: Our findings speak to the importance of attending to different coping strategies, particularly the use of substances as a coping behavior in efforts to prevent PTSD chronicity upon symptom onset. We outline future directions for research efforts to better understand the complex interactions and temporal pathways leading up to the development and maintenance of PTSD symptomatology. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

COVID-19 illness severity and 2-year prevalence of physical symptoms: an observational study in Iceland, Sweden, Norway and Denmark.

Background: Although the persistence of physical symptoms after SARS-CoV-2 infection is a major public health concern, evidence from large observational studies beyond one year post diagnosis remain scarce. We aimed to assess the prevalence of physical symptoms in relation to acute illness severity up to more than 2-years after diagnosis of COVID-19. Methods: This multinational study included 64,880 adult participants from Iceland, Sweden, Denmark, and Norway with self-reported data on COVID-19 and physical symptoms from April 2020 to August 2022. We compared the prevalence of 15 physical symptoms, measured by the Patient Health Questionnaire (PHQ-15), among individuals with or without a confirmed COVID-19 diagnosis, by acute illness severity, and by time since diagnosis. We additionally assessed the change in symptoms in a subset of Swedish adults with repeated measures, before and after COVID-19 diagnosis. Findings: During up to 27 months of follow-up, 34.5% participants (22,382/64,880) were diagnosed with COVID-19. Individuals who were diagnosed with COVID-19, compared to those not diagnosed, had an overall 37% higher prevalence of severe physical symptom burden (PHQ-15 score ≥15, adjusted prevalence ratio [PR] 1.37 [95% confidence interval [CI] 1.23-1.52]). The prevalence was associated with acute COVID-19 severity: individuals bedridden for seven days or longer presented with the highest prevalence (PR 2.25 [1.85-2.74]), while individuals never bedridden presented with similar prevalence as individuals not diagnosed with COVID-19 (PR 0.92 [0.68-1.24]). The prevalence was statistically significantly elevated among individuals diagnosed with COVID-19 for eight of the fifteen measured symptoms: shortness of breath, chest pain, dizziness, heart racing, headaches, low energy/fatigue, trouble sleeping, and back pain. The analysis of repeated measurements rendered similar results as the main analysis. Interpretation: These data suggest an elevated prevalence of some, but not all, physical symptoms during up to more than 2 years after diagnosis of COVID-19, particularly among individuals suffering a severe acute illness, highlighting the importance of continued monitoring and alleviation of these targeted core symptoms. Funding: This work was mainly supported by grants from NordForsk (COVIDMENT, grant number 105668 and 138929) and Horizon 2020 (CoMorMent, 847776). See Acknowledgements for further details on funding.

Elevated symptoms of depression and anxiety among family members and friends of critically ill COVID-19 patients - an observational study of five cohorts across four countries.

Background: Little is known regarding the mental health impact of having a significant person (family member and/or close friend) with COVID-19 of different severity. Methods: The study included five prospective cohorts from four countries (Iceland, Norway, Sweden, and the UK) with self-reported data on COVID-19 and symptoms of depression and anxiety during March 2020-March 2022. We calculated prevalence ratios (PR) of depression and anxiety in relation to having a significant person with COVID-19 and performed a longitudinal analysis in the Swedish cohort to describe temporal patterns. Findings: 162,237 and 168,783 individuals were included in the analysis of depression and anxiety, respectively, of whom 24,718 and 27,003 reported a significant person with COVID-19. Overall, the PR was 1.07 (95% CI: 1.05-1.10) for depression and 1.08 (95% CI: 1.03-1.13) for anxiety in relation to having a significant person with COVID-19. The respective PRs for depression and anxiety were 1.15 (95% CI: 1.08-1.23) and 1.24 (95% CI: 1.14-1.34) if the patient was hospitalized, 1.42 (95% CI: 1.27-1.57) and 1.45 (95% CI: 1.31-1.60) if the patient was ICU-admitted, and 1.34 (95% CI: 1.22-1.46) and 1.36 (95% CI: 1.22-1.51) if the patient died. Individuals with a significant person with hospitalized, ICU-admitted, or fatal COVID-19 showed elevated prevalence of depression and anxiety during the entire year after the COVID-19 diagnosis. Interpretation: Family members and close friends of critically ill COVID-19 patients show persistently elevated prevalence of depressive and anxiety symptoms. Funding: This study was primarily supported by NordForsk (COVIDMENT, 105668) and Horizon 2020 (CoMorMent, 847776).

Gamification: a Novel Approach to Mental Health Promotion.

PURPOSE OF REVIEW: Gamification has emerged as a novel technique for improving mental health and enhancing treatment effectiveness. This paper provides an overview of gamification approaches to mental health intervention, identifies factors that may be related to variations in treatment effectiveness, and discusses possible strategies for tailoring gamified interventions to clients' needs. RECENT FINDINGS: Recent research has documented the potential of gamified mental health interventions for bolstering mental wellness and mitigating psychological symptoms. However, their effectiveness may vary depending on study design-related factors and gender-specific considerations. Literature reviews have also identified yet-to-be resolved issues surrounding the possible strengths and weaknesses of the personalization versus standardization of gamification, as well as the potential benefits of gamification for increasing engagement versus the potential risks of over-engagement and behavioral addiction to gamified components. This review highlights the need for careful planning and execution of gamified mental health interventions to optimize their effectiveness and suitability for meeting clients' individual needs and preferences.

Using network models to explore the associations between posttraumatic stress disorder symptoms and subjective cognitive functioning.

Several studies have identified relationships between posttraumatic stress disorder (PTSD) and cognitive functioning. Here, we aimed to elucidate the nature of this relationship by investigating cross-sectional associations between subjective cognitive functioning (SCF) and 1) the PTSD sum score, 2) symptom domains, and 3) individual symptoms. We also investigated temporal stability by testing whether results replicated over a 3-year period. We estimated partial correlation networks of DSM-5 PTSD symptoms (at baseline) and SCF (at baseline and follow-up, respectively), using data from the National Health and Resilience in Veterans Study (NHRVS; N = 1484; Mdn = 65 years). The PTSD sum score was negatively associated with SCF. SCF was consistently negatively associated with the PTSD symptom domains 'marked alterations in arousal and reactivity' and 'negative alterations in cognitions and mood', and showed robust relations with the specific symptoms 'having difficulty concentrating' and 'trouble experiencing positive feelings'. Results largely replicated at the 3-year follow-up, suggesting that some PTSD symptoms both temporally precede and are statistically associated with the development or maintenance of reduced SCF. We discuss the importance of examining links between specific PTSD domains and symptoms with SCF-relations obfuscated by focusing on PTSD diagnoses or sum scores-as well as investigating mechanisms underlying these relations. Registration Number: 37069 (https://aspredicted.org/n5sw7.pdf).

Anxiety and depressive symptoms among migrants during the COVID-19 pandemic in Norway: A two-wave longitudinal study.

This study was designed to examine the impact of the COVID-19 pandemic on the mental health of migrants living in Norway. We conducted a longitudinal two-waves survey among a sample of 574 migrants and multilevel modelling was used to analyse anxiety, health anxiety and depressive symptoms. Demographic and psychological predictors were investigated. The levels of anxiety, health anxiety and depressive symptoms among migrants decreased from the lockdown (strict social distancing protocols) to phaseout. Reductions in maladaptive coping strategies were related to parallel reductions in anxiety, health anxiety, and depression, and a reduction in loneliness was related to a reduction in depression. The results indicate that the elevated levels of anxiety, health anxiety and depressive symptoms among migrants in the first phase of the pandemic may be temporary.

Daily dynamics and mechanisms of anxious symptomatology in the general population: A network study during the COVID-19 pandemic.

To understand the interplay between anxiety symptoms and their maintaining psychological processes in the population, an analysis of longitudinal within-person relationships is required. A sample of 1706 individuals completed daily measures during a 40-day period with strict mitigation protocols. Data of 1368 individuals who completed at least 30 assessments were analyzed with the multilevel vector autoregressive (mlVAR) model. This model estimates a temporal, a contemporaneous, and a between-person network. Uncontrollability of worry, generalized worry, fear of being infected, fear of significant others being infected, and threat monitoring had the highest outstrength within the temporal network, indicating that daily fluctuations in these components were the most predictive of next-day fluctuations in other components. Of specific connections, both fear of self and fear of close others being infected predicted generalized worry and threat monitoring. In turn, generalized worry and threat monitoring engaged in several positive feedback loops with other anxiety symptoms and processes. Also, intolerance of uncertainty was predictive of other components. The findings align with the mechanisms both in the metacognitive therapy (MCT) model and in the intolerance of uncertainty model of generalized anxiety disorder (GAD).

Viral mitigation and the COVID-19 pandemic: factors associated with adherence to social distancing protocols and hygienic behaviour.

OBJECTIVE: To investigate the factors associated with adherence to viral mitigation protocols during the COVID-19 pandemic. DESIGN: This epidemiological cross-sectional study examines adherence to behaviour in 4158 adults and its relationship with sources of information. MAIN OUTCOME MEASURES: Adherence to social distancing protocols (SDPs) and adherence to hygienic behaviour (HB) recommendations. RESULTS: Individuals aged 18-30 reported lowest adherence to SDPs and HB. Alcohol consumption was associated with lower adherence. Increased risk perception, fear of infection and altruistic attitude were associated with greater adherence. Males, single and childless individuals reported lower adherence. Extroverts and urban residents reported lower adherence to SDPs, but not HB. In contrast to earlier stages of the pandemic, voluntary social distancing was associated with greater adherence to SDPs as opposed to rule-enforced social distancing. Regarding information obtainment, increased time spent acquiring information from recognised newspapers had the strongest favourable association with adherence. Relying on information from friends and family was associated with decreased adherence to SDPs. Sensitivity analyses replicated the findings, supporting the stability and robustness of the proposed models. CONCLUSION: This study identifies factors associated with favourable and detrimental adherence behaviour along with substantial dissemination routes, presenting strategies that may be of utility towards fostering adherence to contemporaneously implemented mitigation protocols.

A critical period for pandemic adaptation: The evolution of depressive symptomatology in a representative sample of adults across a 17-month period during COVID-19.

This 17-month longitudinal study on a representative sample of 4,361 Norwegian adults employs an observational ABAB design across 6 repeated assessments and 3 pandemic waves to systematically investigate the evolution of depressive symptomatology across all modifications of social distancing protocols (SDPs) from their onset to termination. Using Latent Change Score Models to analyze 26,166 observations, the study empirically corroborates that critical fluctuations in depressive symptomatology within and across individuals occur during the first 3 months of the pandemic, after which symptom profiles are predominantly consolidated throughout the pandemic period. Contrary to established belief, female sex, young age, lower education and preexisting psychiatric diagnosis only served as adequate predictors of the initial shocks to symptomatology observed during the onset of the pandemic and did not adequately predict subsequent change observed in symptoms within and across individuals. Population-level analyses demonstrated that symptom levels strongly covaried with the presence and strictness of SDPs and were unrelated to COVID-19 incidence rates. Upon predominant termination of SDPs, population-level symptoms began declining, while large heterogeneity was present across the adult population. Detrimental long-term adversities were revealed by 10% of the adults. These individuals displayed chaotic adaptation to the pandemic and its SDPs, exhibiting substantial increases in clinical levels of symptomatology ensuing partial reopening of society and through the remainder of the pandemic, with these deleterious symptoms projected to remain heightened ahead. Frequency of quarantine exposure was incrementally tied with increases in contemporaneously experienced and long-term depressive adversities, with information obtainment through unmonitored sources further associated with contemporaneous and long-term states of heightened symptomatology. (PsycInfo Database Record (c) 2022 APA, all rights reserved).