Determinants of Anxiety in the General Latvian Population During the COVID-19 State of Emergency

Non-binary gender, vulnerable populations and mental health during the COVID-19 pandemic: Data from the COVID-19 MEntal health inTernational for the general population (COMET-G) study

BACKGROUND

The COVID-19 pandemic has brought significant mental health challenges, particularly for vulnerable populations, including non-binary gender individuals. The COMET international study aimed to investigate specific risk factors for clinical depression or distress during the pandemic, also in these special populations.

METHODS

Chi-square tests were used for initial screening to select only those variables which would show an initial significance. Risk Ratios (RR) were calculated, and a Multiple Backward Stepwise Linear Regression Analysis (MBSLRA) was followed with those variables given significant results at screening and with the presence of distress or depression or the lack of both of them.

RESULTS

The most important risk factors for depression were female (RR = 1.59-5.49) and non-binary gender (RR = 1.56-7.41), unemployment (RR = 1.41-6.57), not working during lockdowns (RR = 1.43-5.79), bad general health (RR = 2.74-9.98), chronic somatic disorder (RR = 1.22-5.57), history of mental disorders (depression RR = 2.31-9.47; suicide attempt RR = 2.33-9.75; psychosis RR = 2.14-10.08; Bipolar disorder RR = 2.75-12.86), smoking status (RR = 1.15-5.31) and substance use (RR = 1.77-8.01). The risk factors for distress or depression that survived MBSLRA were younger age, being widowed, living alone, bad general health, being a carer, chronic somatic disorder, not working during lockdowns, being single, self-reported history of depression, bipolar disorder, self-harm, suicide attempts and of other mental disorders, smoking, alcohol, and substance use.

CONCLUSIONS

Targeted preventive interventions are crucial to safeguard the mental health of vulnerable groups, emphasizing the importance of diverse samples in future research.

LIMITATIONS

Online data collection may have resulted in the underrepresentation of certain population groups.

Daily routine disruptions and psychiatric symptoms amid COVID-19: a systematic review and meta-analysis of data from 0.9 million individuals in 32 countries

BACKGROUND

There is currently a deficit of knowledge about how to define, quantify, and measure different aspects of daily routine disruptions amid large-scale disasters like COVID-19, and which psychiatric symptoms were more related to the disruptions. This study aims to conduct a systematic review and meta-analysis on the probable positive associations between daily routine disruptions and mental disorders amid the COVID-19 pandemic and factors that moderated the associations.

METHODS

PsycINFO, Web of Science, PubMed, and MEDLINE were systematically searched up to April 2023 (PROSPERO: CRD42023356846). Independent variables included regularity, change in frequency, and change in capability of different daily routines (i.e., physical activity, diet, sleep, social activities, leisure activities, work and studies, home activities, smoking, alcohol, combined multiple routines, unspecified generic routines). Dependent variables included symptoms and/or diagnoses of mental disorders (i.e., depression, anxiety, post-traumatic stress disorder, and general psychological distress).

RESULTS

Fifty-three eligible studies (51 independent samples, 910,503 respondents) were conducted in five continents. Daily routine disruptions were positively associated with depressive symptoms (r = 0.13, 95% CI = [0.06; 0.20], p < 0.001), anxiety symptoms (r = 0.12, 95% CI = [0.06; 0.17], p < 0.001), and general psychological distress (r = 0.09, 95% CI = [0.02; 0.16], p = 0.02). The routine-symptom associations were significant for physical activity, eating, sleep, and smoking (i.e., type), routines that were defined and assessed on regularity and change in capability (i.e., definition and assessment), and routines that were not internet-based. While the positive associations remained consistent across different sociodemographics, they were stronger in geo-temporal contexts with greater pandemic severity, lower governmental economic support, and when the routine-symptom link was examined prospectively.

CONCLUSIONS

This is one of the first meta-analytic evidence to show the positive association between daily routine disruptions and symptoms of mental disorders among large populations as COVID-19 dynamically unfolded across different geo-temporal contexts. Our findings highlight the priority of behavioral adjustment for enhancing population mental health in future large-scale disasters like COVID-19.

Association between individual resilience and depression or anxiety among general adult population during COVID-19: a systematic review

BACKGROUND

The coronavirus disease (COVID-19) pandemic exacerbated depression and anxiety worldwide. Resilience is important to maintain mental health during uncertain times, but limited study has systematically reviewed its association with depression or anxiety with an emphasis on the general population.

METHODS

We searched PubMed and Embase for quantitative or mixed-methods studies on the general adult population published between 1 January 2020 and 31 April 2022 (PROSPERO ID: CRD 42022340935). National Institute of the Health quality assessment tools was used to assess the risk of bias. We qualitatively synthesized findings by outcome and study design.

RESULTS

A total of 2945 studies were screened and 35 studies were included in the narrative analysis (5 on depression, 9 on anxiety, and 21 on both). Overall, 21 studies identified statistically significant inverse associations between resilience and depression, while 24 studies found statistically significant inverse associations between resilience and anxiety. Eight studies reported no statistically significant relationships between resilience with depression or anxiety.

CONCLUSIONS

Resilience was found to be inversely associated with depression and anxiety during the COVID-19 pandemic. The findings highlight the importance of resilience-enhancing intervention in migrating the global mental health burden from outbreaks of infectious diseases.

[Changes in sleep patterns and the doom-scrolling (doom-surfing) phenomenon as modifiable risk factors for anxiety due to continuous stress of the COVID-19 pandemic]

OBJECTIVE

To evaluate the modifiable daily behavior patterns associated with increased anxiety indicators in the general population in response to the COVID-19 pandemic.

MATERIAL AND METHODS

The study examined the characteristics of the Russian population (n=7777) of the international multicenter project COMET-G. In particular, variables were targeted to describe deviations in the behavior of adults during the period of application of measures of social isolation in connection with the pandemic, and revealing a relationship with the total score on the Spielberger State Anxiety Scale (STAI-S). Among these variables, experts selected those that could potentially be subject to change in the short term, that is, act as manageable or modifiable risk factors for the development of anxiety. The selected variables were analyzed in a statistical PLS-model to identify indicators that make the most significant contribution to the increase in the total anxiety score.

RESULTS

Our statistical model explained 48.4% of the variability in the STAI-S anxiety total scores related to changes in daily life habits. In particular, doom-scrolling/doom-surfing about the spread of the virus and the COVID-19 pandemic, changes in sleep patterns and usual daily life activities due to social isolation measures presented as factors significantly contributing to the increase of state anxiety.

CONCLUSION

Given the manageable or modifiable risk factors that we have identified, public awareness and therapeutic recommendations, pointing to the need to (I) control the amount of time spent in the internet and monitor their internet-based content consumption, (II) regulate sleep-wake patterns, (III) maintain daily habits and household activities, may reduce the likelihood of developing anxiety disorders in the context of the impact of a global chronic stress due to the COVID-19 pandemic and associated social isolation measures.

Anxiety Screening among the General Population of Latvia and Associated Factors

Background and Objectives: The aim of this study was to determine the point prevalence of at least mild anxiety symptoms and symptoms of generalized anxiety disorder in the Latvian general population, and to analyze the associated factors. Materials and Methods: A computer-assisted face-to-face survey was conducted in 2019−2020 with a multistage stratified probability sample of the Latvian general adult population (n = 2687). Anxiety was assessed using the 7-item Generalized Anxiety Disorder (GAD-7) scale; a score of ≥5 was defined as indicating the presence of mild symptoms of anxiety, and a score of ≥10 as the cutoff for identifying cases of generalized anxiety disorder. The Patient Health Questionnaire 9 (PHQ-9) and MINI International Neuropsychiatric Interview (M.I.N.I.) modules were used for assessing comorbid conditions. Multinomial logistic regression was conducted. Results: The point prevalence of mild anxiety symptoms was 10.9%. The point prevalence of generalized anxiety disorder symptoms was 3.9%. Higher odds of mild anxiety symptoms were detected in respondents of a young age (vs. 65 y.o. and older, aOR 3.1, p < 0.001), unmarried respondents (vs. married/cohabiting, aOR 1.5, p = 0.02), those living in the capital city (aOR 1.6, p = 0.008) or rural areas (aOR 1.5, p = 0.03) (vs. other towns), respondents with poor self-rated health (vs. good, aOR 2.6, p < 0.001), and diagnosed alcohol use disorder (aOR 1.9, p < 0.001), suicidal behavior (aOR 2.4, p < 0.001), and symptoms of depression (aOR 6.4, p < 0.001) (vs. no such conditions). As for symptoms of generalized anxiety disorder, female sex (vs. males, aOR 2.5, p = 0.003), age below 44 years (vs. 65+, aOR 6.2, p = 0.002), average self-rated health (vs. good, aOR 2.6, p = 0.005), and poor self-rated health (vs. good, aOR 5.3, p < 0.001), together with comorbid suicidal behavior (aOR 6.1, p < 0.001) and symptoms of depression (aOR 43.4, p < 0.001) (vs. no such conditions), increased the odds. Conclusions: Young age, poor self-rated health, and comorbid symptoms of depression and suicidal behavior were significant factors associated with symptoms of both mild anxiety and generalized anxiety disorder. Being unmarried, living in the capital city or rural areas, and alcohol use disorder were associated with mild anxiety symptoms alone. Female sex was associated with generalized anxiety disorder symptoms alone.