Longitudinal impact of the COVID19 pandemic on mental health in a general population sample in France: Evidence from the COMET Study

SARS-CoV-2 infection is associated with physical but not mental fatigue - Findings from a longitudinal controlled population-based study

OBJECTIVE

Fatigue has been identified as the core symptom of long-Covid, however, putative pandemic-related influences remain largely unclear. We investigated trajectories of total, physical and mental fatigue and the factors associated with it in previously infected and non-infected individuals up to one year post- infection.

METHODS

We used data from a longitudinal cohort study of German adults with two samples: A representative probability sample and a sample of individuals with proven SARS-CoV-2 infection. Surveys were conducted in spring 2020(T1), autumn 2020(T2) and summer 2021(T3). Fatigue was assessed using the FAS, distinguishes between physical and mental fatigue. Depression, anxiety and stress were assessed using PHQ-4 and PSQ.

RESULTS

1990 participants [mean age 47.2 (SD = 17.0), 30.5% previously infected] were included in the survey at T1 (n = 1118 at T2, n = 692 at T3). Total and physical fatigue, but not mental fatigue were significantly higher in the previously infected compared to the non-infected sample at T2, but this group difference disappeared at T3. We identified Covid-infection as a factor associated with transient total and physical fatigue at T2. Depression, anxiety and stress at T1 were associated with total, physical and mental fatigue at both follow-ups.

CONCLUSIONS

Our results highlight the importance of considering physical and mental fatigue as separate entities, while suggesting a greater relevance of the physical signs of fatigue in understanding long-Covid. The results further showed that baseline mental health symptoms were the most strongly associated with fatigue trajectories.

Post-traumatic stress disorder symptoms and quality of life among older patients with cancer during the COVID-19 pandemic

INTRODUCTION

The Coronavirus (COVID-19) pandemic and its associated health restrictions have harmed the population psychologically. We aimed to compare the post-traumatic stress disorder (PTSD) symptoms and Quality of Life (QoL) in older French patients with cancer to the younger ones.

MATERIALS AND METHODS

This longitudinal multicenter study named COVIPACT began in April 2020 during the first French lockdown and has included 579 outpatients receiving treatment for a solid or hematological malignancy. Data were collected every three months, namely at the first release period (M3), at the second lockdown (M6), at the second release period (M9), and finally at the last curfew period (M12) in France. Standardized validated self-questionnaires were used to assess PTSD symptoms (using the Event Scale-Revised self-questionnaire), insomnia (through the Insomnia Severity Index questionnaire), QoL (using the Functional Assessment of Cancer Therapy - General questionnaire), and cognitive complaints (through the Functional Assessment of Cancer Therapy - Cognition questionnaire). Student (or Wilcoxon) tests and Chi-squared tests were used for continuous or discrete variables, respectively. We conducted linear mixed model to study the change during follow-up.

RESULTS

Out of 579 included patients, 157 (27%) were ≥ 70 years old at baseline, of whom 104 participated in the longitudinal study. At baseline, older patients reported fewer PTSD symptoms (17% versus 23%, p = .06), insomnia (17% versus 27%, p = .02), and cognitive complaint (3% versus 16%, p < .01) than younger patients. QoL at baseline was similar between age subgroups. We observed no significant difference in the trajectory of PTSD symptoms, insomnia, or emotional well-being between both groups during the follow-up. Cognitive complaints were lower at baseline in older patients but steadily increased during the follow-up and reached the same level as younger patients at one year.

DISCUSSION

One in five older patients reported PTSD symptoms, evolving similarly to younger patients during the first year of the COVID-19 pandemic. While cognitive complaints tend to recover in a bell-shaped curve at one year in younger patients, the trend is increasing in older ones. Screening for PTSD symptoms and late cognitive impairment should be given special attention in older patients.

TRIAL REGISTRATION

Clinicaltrials.gov identifier: NCT04366154.

Effects of C-reactive protein trajectories of critically ill patients with sepsis on in-hospital mortality rate

Sepsis, a life-threatening condition caused by an inflammatory response to systemic infection, results in a significant social burden and healthcare costs. This study aimed to investigate the relationship between the C-reactive protein (CRP) trajectories of patients with sepsis in the intensive care unit (ICU) and the in-hospital mortality rate. We reviewed 1464 patients with sepsis treated in the ICU of Dongyang People's Hospital from 2010 to 2020 and used latent growth mixture modeling to divide the patients into four classes according to CRP trajectory (intermediate, gradually increasing, persistently high, and persistently low CRP levels). We found that patients with intermediate and persistently high CRP levels had the lowest (18.1%) and highest (32.6%) in-hospital mortality rates, respectively. Multiple logistic regression analysis showed that patients with persistently high (odds ratio [OR] = 2.19, 95% confidence interval [CI] = 1.55-3.11) and persistently low (OR = 1.41, 95% CI = 1.03-1.94) CRP levels had a higher risk of in-hospital mortality than patients with intermediate CRP levels. In conclusion, in-hospital mortality rates among patients with sepsis differ according to the CRP trajectory, with patients with intermediate CRP levels having the lowest mortality rate. Further research on the underlying mechanisms is warranted.

Factors associated with status and self-perceived mental health changes in the face of the COVID-19 pandemic in Brazil

The SARS-CoV-2-triggered Public Health Emergency of International Importance has significantly contributed to emotional and mental health issues. The aim of this study was to identify factors associated with self-perceived mental health changes while facing the COVID-19 pandemic in Brazil. This was a cross-sectional, descriptive, and analytical study that collected data via a web survey using a validated instrument. The study included individuals over 18 years old residing in the 26 federal units and the Federal District from August 2020 to November 2022. The sample was recruited using the snowball technique. Two logistic regression analyses were conducted to identify factors associated with the outcomes of interest. The first analysis considered individuals who rated their mental health condition as poor as the dependent variable, while the second analysis considered individuals who reported changes in their mental health during the pandemic as the dependent variable. The study found that individuals with complete college education and those using tranquilizers or antidepressants were more likely to perceive their mental health as poor (1.97 and 2.04 times higher likelihood, respectively). Increased consumption of ultra-processed foods during the pandemic was associated with a 2.49 higher likelihood of reporting mental health changes. Participants also reported more difficulty sleeping. The negative self-perception of mental health varied across Brazil's regions and changed over time, with different patterns observed before and after the vaccination period. In 2022, most regions of Brazil classified their mental health as "poor." The study highlights the impact of the COVID-19 pandemic on mental health, with increased prevalence of mental disorders and emotional problems among the population. The results highlight the presence of mental disorders and increased reporting of emotional problems among the population due to the impact of the COVID-19 pandemic.

Mental health across two years of the COVID-19 pandemic: a 5-wave longitudinal study in Germany

The COVID-19 pandemic has been negatively associated with mental health. However, little is known about the temporal dynamics of mental health in the longer term of the pandemic. We aimed to investigate symptom levels and changes of depression, anxiety, posttraumatic stress, and loneliness spanning two years of the pandemic; and to examine associated risk factors. This five-wave, longitudinal online study from May 2020 to April 2022 included 636 adults (Mage = 39.5 years, SD = 16.11; 84.1% female) from the German general population who completed the international COVID-19 Mental Health Survey. Symptoms of anxiety (Generalized Anxiety Disorder-7; GAD-7), depression (Patient Health Questionnaire-9; PHQ-9), posttraumatic stress (PTSD Checklist for DSM-5; PCL-5), and loneliness ("Do you feel lonely?") were assessed using mixed-effects models. Associations with anxiety and depressive symptoms were examined with having children, student status, financial worries, contamination fear, and loneliness. PHQ-9, GAD-7, PCL-5, and loneliness scores overall decreased throughout the two-year period of the pandemic but exhibited an increase during two national lockdowns. Controlled for significant associations with female gender and younger age, increased PHQ-9 and GAD-7 scores were associated with contamination fear, financial worries, and loneliness. No associations were found with having children and student status. Symptoms of depression, anxiety, posttraumatic stress, and loneliness decreased over time but varied along with the dynamics of the pandemic. Longitudinal monitoring of mental health in vulnerable subgroups is required, especially those of younger age, females, and the financially insecure.

Subgroups of perceptions and related behaviors during the COVID-19 lockdown: experience of adolescents in the PARIS birth cohort

BACKGROUND

Adolescents may not all have reacted similarly to the COVID-19 lockdown. This study aimed to identify subgroups of perceptions in adolescents from the PARIS cohort during the first French lockdown, and to investigate whether adolescent behaviors differed according to these subgroups.

METHODS

Online questionnaires were sent to 1,549 PARIS adolescents aged 13-17 years who reported on possible infection with SARS-CoV-2, their perceptions, and behaviors during lockdown. Ascending hierarchical clustering was performed on the perception variables. Associations of behaviors with perception clusters were analyzed using multivariable multinomial logistic regression.

RESULTS

Three perception clusters were identified among 791 adolescents (response rate 51%). One cluster "happy" (39%) had good mental health and did not feel stressed during lockdown. Another cluster "unhappy" (19%) was mainly unhappy, felt stressed, suffered from overcrowded living conditions, and experienced deteriorating relationships with family members. A further cluster "intermediate" (42%) experienced moderate well-being and stress, felt more supported by family, and worried about the health of their relatives. Compared with the "happy" cluster, the unhappy adolescents were more affected by COVID-19, had difficulty doing school activities, spent more time on social networks and less time on video games, slept less, and reported a deterioration in their diet. Adolescents "intermediate" with moderate well-being were more often girls, spent more time on social networks, were more physically active, slept less, and more often reported eating fruit and vegetables and drinking alcohol.

CONCLUSIONS

Not all adolescents experienced lockdown in the same way. This study highlighted subgroups that differed in terms of well-being and health-related behaviors. These results should motivate public authorities to consider the benefit/risk ratio of implementing strict lockdowns by taking into account family disparities and inequities among adolescents.

Depression trajectories during the COVID-19 pandemic in the high-quality health care setting of Switzerland: the COVCO-Basel cohort

OBJECTIVES

During the pandemic, Switzerland avoided stringent lockdowns and provided funds to stabilize the economy. To assess whether and in what subgroups the pandemic impacted on depressive symptoms in this specific Swiss context, we derived depression trajectories over an extended pandemic period in a Swiss cohort and related them to individuals' sociodemographic characteristics.

STUDY DESIGN

This was a population-based cohort study.

METHODS

The population-based COVCO-Basel cohort in North-Western Switzerland invited 112,848 adult residents of whom 12,724 participated at baseline. Between July 2020 and December 2021, 6396 participants answered to additional 18 monthly online questionnaires. Depression symptoms were repeatedly measured by the DASS-21 scale. Group-based Trajectory Models methods were applied to identify clusters of similar depression trajectories. Trajectory clusters were characterized descriptively and with a Multinomial response model.

RESULTS

Three distinct trajectories were identified. The 'Highly affected' trajectory (13%) had a larger presence of younger and female participants with lower average income, higher levels of past depression, and living alone. A majority of individuals in the 'Unaffected' trajectory (52%) were of medium or high average income, older average age, without previous depression symptoms, and not living alone. The 'Moderately affected' trajectory (35%) had a composition intermediate between the two opposite 'extreme' trajectories.

CONCLUSIONS

This study is among few studies investigating depression trajectories up to the time when COVID-19 vaccination was readily available to the entire population. During these 18 months of the pandemic, depressive symptoms increased in a substantial percentage of participants. Economic support, high-quality health care system, and moderate containment measures did not sufficiently protect all population subgroups from adverse, potentially long-term psychological pandemic impacts.

Mobile opportunity against stress: Open study protocol on the effectiveness of a mobile platform for stress self-management in the post-pandemic era

Mobile health platforms have shown promise in the management of various mental health conditions (including stress, anxiety, and depression) and cognitive behavioral strategies emerged as a popular and effective option offered by the platforms. This paper presents the protocol of a study aimed to test the effectiveness of a mobile platform that uses cognitive-behavioral strategies for stress self-management in the Tuscany region (Italy). The mobile app is adapted to the specific needs of each vulnerable population for which it is designed: young and older people, healthcare professionals, entrepreneurs. The app will be evaluated on the following outcomes: (i) perceived susceptibility and severity of the pandemic situation, perceived benefits, and costs of preventive health behaviors, (ii) knowledge about Covid-19 preventive behaviors and negative consequences of social distancing, (iii) stress and psychopathological symptoms (i.e., anxiety, depression, and post-traumatic stress symptoms) and cognitive distortions. If successful, we expect that the platform could give various groups clinical benefits by providing symptom self-monitoring and early intervention, consolidating the number of mental health programs available, and decreasing barriers to treatment-seeking. This population-level approach has the potential to improve mental health outcomes in pandemic periods for many people.