Depressive Symptoms Among Older Adults Pre- and Post-COVID-19 Pandemic

Association depressive symptoms with memory function and social capital before and during COVID-19 in community-dwelling older adults in rural Japan: A retrospective study with a longitudinal data

OBJECTIVES

This study aimed to investigate the impact of memory function and social capital on depressive symptoms during the COVID-19 pandemic among older adults in rural Japan.

METHODS

A retrospective study with longitudinal data was conducted during COVID-19 from May 2021 to November 2021 (T2) in Kurogawa, Japan. The candidate population for this study was 145 with the following requirements: (1) older individuals aged 65 years or above who were registered in the Kurogawa study, and (2) those with previous data (from November 2016 to February 2020; T1 as pre-pandemic). Memory function was assessed using the Wechsler Memory Scale-Revised Logical Memory II delayed recall part A (LM II-DR). Depressive symptoms were assessed using the Japanese version of the 15-item Geriatric Depression Scale (GDS-15). Social capital was evaluated through civic participation, social cohesion, and reciprocity. Fear of the COVID-19 infection (FCV-19S) was evaluated.

RESULTS

The final analysis included 96 participants (mean age = 81.0 years, SD = 4.8) Multivariate analysis for GDS-15 score by Mixed Model Repeated Measures (MMRM) revealed significant associations between LM II-DR (β = -0.13, 95% CI: -0.21-0.05, p = 0.002) and FCV-19S during COVID-19 (β = 0.08, 95% CI: 0.01-0.15, p = 0.02) with GDS-15 score. However, civic participation, social cohesion and reciprocity were not associated with GDS-15 score.

CONCLUSIONS

Among older adults in rural Japan, memory function and fear of the COVID-19 infection were significantly associated with depressive symptoms in MMRM analysis. However, social capital was not associated with depressive symptoms. This highlights the need to address memory function and fear of the COVID-19 infection in interventions for older adults during crises like the COVID-19 pandemic.

Depressive symptoms associated with infection prevention measures and daily lifestyle habit characteristics among Japanese community-dwelling older adults during the COVID-19 pandemic

AIM

This study aimed to clarify the relationship between depressive symptoms and infection prevention measures and daily lifestyle habits during the coronavirus disease 2019 pandemic among community-dwelling Japanese older adults.

METHODS

This cross-sectional study was conducted on older residents (age ≥65 years) living in the Tama area of Tokyo and Sapporo, Hokkaido, in 2021. A self-administered questionnaire survey was conducted to collect data on demographics, the impact of the pandemic on physical condition, and depressive symptoms, infection prevention measures, and daily lifestyle habits during the pandemic. The Geriatric Depression Scale was used to assess depressive symptoms.

RESULTS

In total, 554 respondents were included in the analysis. The results of multiple logistic regression analyses revealed that refraining from going out and visiting medical institutions were associated with depressive symptoms. Furthermore, those who went out almost every day were less likely to have depressive symptoms than the others, those who exercised almost every day were less likely to have depressive symptoms than were those who almost never exercised, and those who slept 6-7 h were less likely to have depressive symptoms than were those who slept ≤5 h.

CONCLUSIONS

The findings of the present study suggest the necessity of having a place where older adults with physical and lifestyle concerns can consult with healthcare providers in a location other than a medical institution, even during infectious disease outbreaks. In addition, increasing the frequencies of going out and independent exercise and sleeping 6-7 h may help prevent depression among older adults.

Has sentiment returned to the pre-pandemic level? A sentiment analysis using U.S. college subreddit data from 2019 to 2022

BACKGROUND

As the impact of the COVID-19 pandemic winds down, both individuals and society are gradually returning to life and activities before the pandemic. This study aims to explore how people's emotions have changed from the pre-pandemic period during the pandemic to this post-emergency period and whether the sentiment level nowadays has returned to the pre-pandemic level.

METHOD

We collected Reddit social media data in 2019 (pre-pandemic), 2020 (peak period of the pandemic), 2021, and 2022 (late stages of the pandemic, transitioning period to the post-emergency period) from the subreddits communities in 128 universities/colleges in the U.S., and a set of school-level baseline characteristics such as location, enrollment, graduation rate, selectivity, etc. We predicted two sets of sentiments from a pre-trained Robustly Optimized BERT pre-training approach (RoBERTa) and a graph attention network (GAT) that leverages both the rich semantic information and the relational information among posted messages and then applied model stacking to obtain the final sentiment classification. After obtaining the sentiment label for each message, we employed a generalized linear mixed-effects model to estimate the temporal trend in sentiment from 2019 to 2022 and how the school-level factors may affect the sentiment.

RESULTS

Compared to the year 2019, the odds of negative sentiment in years 2020, 2021, and 2022 are 25%. 7.3%, and 6.3% higher, respectively, which are all statistically significant at the 5% significance level based on the multiplicity-adjusted p-values.

CONCLUSIONS

Our study findings suggest a partial recovery in the sentiment composition (negative vs. non-negative) in the post-pandemic-emergency era. The results align with common expectations and provide a detailed quantification of how sentiments have evolved from 2019 to 2022 in the sub-population represented by the sample examined in this study.

Lingering Effects of COVID-19 Stressors on Mental Health and Alcohol Use in Middle Aged to Older Adults

Background

Older adults have faced not only health threats but grave mental health challenges since the emergence of the Coronavirus disease 2019 (COVID-19) pandemic. Using factor analysis, this study is the first to identify the underlying dimensions of COVID-19-related stressors, then examine the relationship between these factors and mental health and alcohol use/misuse longitudinally in a middle aged to older adult sample in the United States.

Methods

As part of a long-term follow-up study, 921 survey participants completed measures of COVID-related stressors, psychological distress, and alcohol use/misuse in a 2020 survey. An exploratory factor analysis was conducted to examine the dimensionality of COVID-related stress. Regression models were utilized to examine relationships between the extracted factors and depression, anxiety, and alcohol-related outcomes measured approximately one year later, in 2021.

Results

Four dimensions of COVID-19 stressors were extracted, including 1) jobs, finances and loss of routine; 2) practical difficulties; 3) social worries and challenges; and 4) supply shortages. Practical difficulties were associated with higher depression at follow-up, while jobs, finances and loss of routine were associated with past 12 month frequency of intoxication at follow-up.

Conclusions

Challenges from the pandemic may have longer-term implications for mental health in older adults past the acute phase of the pandemic. It is important to allocate sufficient attention and resources to the prevention of late life depression and mental health as policymakers and health professionals continue to deal with the pandemic and future variants of the virus.

Depression and Anxiety in Long-Term Care Residents During the COVID-19 Pandemic: The Influence of Telehealth Availability, Cognitive Status, and Trauma History

OBJECTIVES

The present study investigates the impact of disrupted mental health services during the COVID-19 pandemic on depression and anxiety symptoms in long-term care (LTC) residents.

METHODS

The study examined clinical data from 5,645 residents who received at least two psychological services in a long-term care (LTC) or assisted living (AL) setting between March 2019 and March 2021. A series of multiple regressions were run to explore the effects of the COVID-19 shutdown on depression and anxiety symptoms while examining the effects of COVID-19-related facility closure and facility telehealth capabilities. Follow-up regression analyses explored the impact of cognitive impairment and positive trauma history on depression and anxiety symptoms.

RESULTS

Post-COVID levels of anxiety and depression were higher for residents with higher levels of pre-COVID anxiety and depression. The interaction between facility closure and availability of telehealth services and trauma history predicted self-report anxiety symptoms. Clinician-observed anxiety symptoms were predicted by cognitive impairment. Residents with a history of trauma had an increase in self-reported anxiety symptoms.

CONCLUSIONS

Telehealth appeared to mitigate anxiety during the pandemic for residents with higher pre-COVID anxiety.

CLINICAL IMPLICATIONS

For those individuals with severe anxiety, results suggest the importance of ensuring that mental health services are available to mitigate symptoms via telehealth when infection control disrupts the usual delivery of treatment.

Cognitive decline among older adults with depressive symptoms before and during the COVID-19 pandemic

BACKGROUND

Whether the COVID-19 pandemic would induce accelerated cognitive decline in individuals with depressive symptoms is undetermined.

OBJECTIVE

To investigate the impact of the COVID-19 pandemic on cognitive function among older adults with depressive symptoms.

METHODS

Data were from the Health and Retirement Study. The interval between wave 13 and wave 14 was defined as the prepandemic period, and the interval between wave 14 and wave 15 was defined as the pandemic period. Linear mixed models and modified Poisson regression models were employed to compare the differences in cognitive decline and incident dementia between participants with and without depressive symptoms before and during the pandemic.

RESULTS

A total of 9304 participants were included. During the prepandemic period, no significant difference was observed in changes in cognitive scores between participants with and without depressive symptoms. During the pandemic period, an accelerated decline in cognitive scores was found between the two groups (global cognition: -0.25, 95 % CI: -0.41 to -0.08, P = 0.004; memory: -0.16, 95 % CI: -0.31 to -0.02, P = 0.030; executive function: -0.08, 95 % CI: -0.15 to -0.02, P = 0.014). Participants with depressive symptoms had a higher risk of developing dementia during the pandemic (RR: 1.48, 95 % CI: 1.17 to 1.88, P < 0.001).

LIMITATIONS

Causal relationship cannot be concluded due to the observational study design.

CONCLUSIONS

Older adults with depressive symptoms suffered more severe cognitive deterioration and had a higher risk of incident dementia during the pandemic, underscoring the need to provide cognitive monitoring and interventions for those with depressive symptoms during the COVID-19 pandemic.

Depressive and anxiety symptoms during the COVID-19 pandemic in the oldest-old population and the role of psychosocial factors: a multivariate and multi-wave analysis

Background

Since the oldest-old population was identified as a high-risk group for a severe course of the coronavirus disease and higher mortality, it was assumed that they might be particularly psychologically burdened. The aim of the study is to analyze the development of anxiety and depressive symptoms over the course of the pandemic from 2020 to 2022, as well as psychosocial factors associated with these outcomes.

Method

We analyzed data of n = 135 participants aged 78 to 97 years old (2020: M = 86.77, SD = 4.54) with three points of measurement from May to June 2020 (t1), March to May 2021 (t2) and November to January 2022 (t3). Besides sociodemographic variables, worries about the Sars-Cov-2 virus, living situation, perceived social support (ESSI), resilience (BRS), anxiety and depressive symptoms (BSI-18) were assessed. We calculated multilevel mixed-effects generalized linear models with a negative binominal distribution to model anxiety and depressive symptoms over time.

Results

While there is an increase in depressive and anxiety symptoms in the investigated oldest-old individuals in Germany from 2020 to 2021, there is no further increase in symptomatology from 2021 to 2022. Participants of older age reported higher levels of anxiety symptoms. Higher perceived social support was associated with both less depressive and less anxiety symptoms, while resilience was associated with less depressive symptoms only. More worries about the Sars-Cov-2 virus were associated with higher anxiety levels.

Conclusion

Overall, the oldest-old population appeared to show rather stable mental health after a slight increase in symptomatology within the first year of the pandemic. Social support is an important factor to target in mental health prevention programs for oldest-old individuals in times of future crises such as a pandemic.

COVID-19 And Mental Health Outcomes Of Older Adults: Evidence From Mexico

Estimates using data from the Mexican Health and Aging Study, a national longitudinal sample of older adults in Mexico, show elevated risk for negative mental health outcomes for those experiencing COVID-19 infection or major COVID-19-related adverse events. Predicted elevated probabilities were greater for a major adverse event than for COVID-19 infection, and they varied across sociodemographic groups defined by age, sex, education, and urban-rural residence.

Changes in anxiety and depression during the COVID-19 pandemic in the European population: A meta-analysis of changes and associations with restriction policies

BACKGROUND

Early studies of common mental disorders (CMDs) during the COVID-19 pandemic mainly report increases; however, more recent findings have been mixed. Also, studies assessing the effects of restriction measures on CMDs show varied results. The aim of this meta-analysis was to assess changes in levels of CMDs from pre-/early to during the pandemic and the effects of restriction policies in the European population.

METHODS

We searched for studies assessing both pre-pandemic and peri-pandemic self-reported emotional distress and symptoms of depression or anxiety among nationally/regionally representative samples in Europe and collected microdata from those studies. Estimates of corona containment index were related to changes in CMDs using random-effects meta-regression.

RESULTS

Our search strategy resulted in findings from 15 datasets drawn from 8 European countries being included in the meta-analysis. There was no evidence of change in the prevalence of emotional distress, anxiety, or depression from before to during the pandemic; but from early pandemic periods to later periods, there were significant decreases in emotional distress and anxiety. Increased school restrictions and social distancing were associated with small increases in self-reported emotional distress.

CONCLUSIONS

Despite initial concerns of increased emotional distress and mental illness due to the COVID-19 pandemic, the results from this meta-analysis indicate that there was a decrease in emotional distress and no change in anxiety or depression in the general population in Europe. Overall, our findings support the importance of strong governance when implementing periodic and robust restriction measures to combat the spread of COVID-19.

Loneliness and depression among community-dwelling older adults in China during the COVID-19 epidemic: The mediating role of social support

The psychological condition of community-dwelling older adults is a global concern under coronavirus disease 2019. Loneliness is the key risk factor for depression among community-dwelling older adults. This study aims to explore the role of social support as a mediating factor in the relationship between depression and loneliness among community-dwelling older adults. We conducted a cross-sectional study in Chenzhou, Hunan Province, China, from June to December 2021. The sample consisted of 570 community-dwelling adults aged over 60 years. Data were collected through a general information questionnaire, the Social Support Rating Scale, the University of California at Los Angeles Loneliness Scale, and the Center for Epidemiological Survey, Depression Scale. Statistical Package for the Social Sciences PROCESS macro was used to examine the mediating effect of social support between loneliness and depression. This study found that depression was negatively associated with social support (r = -0.381, P < .001), but it was positively correlated with loneliness (r = 0.403, P < .001); loneliness was a predictor of depression (B = 0.333, P < .001). In addition, social support significantly mediated the relationship between loneliness and depression, with an indirect effect of 0.239 (95% Bootstrap CI -0.264 to -0.510), the overall effect value for depression was 0.572, accounting for 56.3% of the total variance in depression within this model. In conclusion, the findings suggest that social support plays a mediating role between depression and loneliness in older adults. This implies that interventions aimed at reducing loneliness and enhancing social support have the potential to alleviate depressive symptoms among this population. By addressing these factors, healthcare professionals and caregivers can promote the mental well-being of older adults and contribute to improved overall quality of life.

Sustaining an ageing population: the role of micronutrients in frailty and cognitive impairment

Age-related frailty and cognitive decline are complex multidimensional conditions that significantly impact the ability of older adults to sustain functional capacity and independence. While underlying causes remain poorly understood, nutrition continually emerges as one associated risk element. Many studies have addressed the importance of adequate nutrition in delaying the onset of these conditions, but the specific role of micronutrients is not well established. The consideration of pre-frailty as an outcome variable is also limited in the current literature. In this review, we focus on the potential value of maintaining micronutrient sufficiency to sustaining the health of the ageing population. Using data from the Irish longitudinal study on ageing, we consider several vitamins known to have a high prevalence of low status in older adults and their impact on pre-frailty, frailty and cognitive impairment. They include vitamin B12 and folate, both of which are associated with multiple biological mechanisms involved in long-term health, in particular in cognitive function; vitamin D, which has been associated with increased risk of musculoskeletal disorders, depression and other chronic diseases; and the carotenoids, lutein and zeaxanthin, that may help mitigate the risk of frailty and cognitive decline via their antioxidant and anti-inflammatory properties. We show that low concentrations of folate and carotenoids are implicated in poorer cognitive health and that the co-occurrence of multiple nutrient deficiencies confers greatest risk for frailty and pre-frailty in the Irish longitudinal study on ageing cohort. These health associations contribute to evidence needed to optimise micronutrient status for health in the older adult population.

Living alone and mental health: parallel analyses in UK longitudinal population surveys and electronic health records prior to and during the COVID-19 pandemic

BACKGROUND

People who live alone experience greater levels of mental illness; however, it is unclear whether the COVID-19 pandemic had a disproportionately negative impact on this demographic.

OBJECTIVE

To describe the mental health gap between those who live alone and with others in the UK prior to and during the COVID-19 pandemic.

METHODS

Self-reported psychological distress and life satisfaction in 10 prospective longitudinal population surveys (LPSs) assessed in the nearest pre-pandemic sweep and three periods during the pandemic. Recorded diagnosis of common and severe mental illnesses between March 2018 and January 2022 in electronic healthcare records (EHRs) within the OpenSAFELY-TPP.

FINDINGS

In 37 544 LPS participants, pooled models showed greater psychological distress (standardised mean difference (SMD): 0.09 (95% CI: 0.04; 0.14); relative risk: 1.25 (95% CI: 1.12; 1.39)) and lower life satisfaction (SMD: -0.22 (95% CI: -0.30; -0.15)) for those living alone pre-pandemic. This gap did not change during the pandemic. In the EHR analysis of c.16 million records, mental health conditions were more common in those who lived alone (eg, depression 26 (95% CI: 18 to 33) and severe mental illness 58 (95% CI: 54 to 62) more cases more per 100 000). For common mental health disorders, the gap in recorded cases in EHRs narrowed during the pandemic.

CONCLUSIONS

People living alone have poorer mental health and lower life satisfaction. During the pandemic, this gap in self-reported distress remained; however, there was a narrowing of the gap in service use.

CLINICAL IMPLICATIONS

Greater mental health need and potentially greater barriers to mental healthcare access for those who live alone need to be considered in healthcare planning.

Prevalence and Factors Associated with Depression Among Older Adults During the COVID-19 Pandemic: A Cross-Sectional Study in Urban Areas in Thailand

Purpose

This study examined the prevalence of and factors associated with depression symptoms among Thai older adults during the COVID-19 pandemic.

Patients and Methods

A cross-sectional survey was conducted among older adults in urban areas in Bangkok, Thailand, between July and October 2021. The 15-item Thai Geriatric Depression Scale (TGDS-15) was used to determine the prevalence of depression symptoms, and multiple logistic regression was conducted to identify the associated factors.

Results

A total 156 older adults survey responses were received. The largest group of participants (80.8%) was aged below 70, women (50.6%), married (67.9%), retired (41%), having sufficient income (67.9%), living with their families (89.1%). More than half (71.8%) had an underlying disease, with hypertension being the most common (39.1%). In addition, 17.3% of the participants had received compulsory COVID-19 vaccination. Only 0.6% had a history of COVID-19 infection. The prevalence of depression among Thai older adults was 20.5%. Univariate analysis demonstrated occupation and income sufficiency was associated with depression symptoms. The results of the multivariate analysis found that the "non-worker" group was 3.54 times more likely to experience depression symptoms than the reference group (OR = 3.54, 95% CI = 1.25-10.02, p = 0.018) when controlling for the confounding factors.

Conclusion

This study highlights the importance of addressing depression symptoms among Thai older adults, in which occupation and income sufficiency were the main variable factors for depression. Our study further suggested that the importance of interventions such as increasing job availability and establishing financial aid policies may ameliorate depression symptoms among older adults, especially in high-risk groups during the pandemic situation such as the COVID-19.

Relationships between Physical Activity and Selected Chronic Diseases among Functionally Independent Long-Term Care Residents during the Post-Lockdown Period in Croatia

The aim of this observational study was to investigate the level and association of physical activity and selected chronic diseases in functionally independent LTC residents after prolonged physical and social isolation during COVID-19 in Croatia. Adhering to the inclusion criteria, 180 functionally independent residents were included in the study. Assessment of physical activity was carried out by 7-day motor monitoring. Prolonged physical and social isolation negatively affected the achieved level of physical activity of LTC residents (x¯ = 5058.74). Major depressive disorder resulted in significantly lower residents' physical activity scores, demonstrating a shrinking effect ranging from 0.42 to 0.45. A significant negative impact on the residents' physical activity was also found in the presence of osteoarthritis and iron deficiency anemia, where a downward effect was present in the range from 0.66-0.72 and 0.64 to 0.66. The presence of comorbidities has a significant negative impact on the residents' physical activity, where a downward effect is present in the range from 0.91-0.92.

Mental health in Europe during the COVID-19 pandemic: a systematic review

The COVID-19 pandemic caused immediate and far-reaching disruption to society, the economy, and health-care services. We synthesised evidence on the effect of the pandemic on mental health and mental health care in high-income European countries. We included 177 longitudinal and repeated cross-sectional studies comparing prevalence or incidence of mental health problems, mental health symptom severity in people with pre-existing mental health conditions, or mental health service use before versus during the pandemic, or between different timepoints of the pandemic. We found that epidemiological studies reported higher prevalence of some mental health problems during the pandemic compared with before it, but that in most cases this increase reduced over time. Conversely, studies of health records showed reduced incidence of new diagnoses at the start of the pandemic, which further declined during 2020. Mental health service use also declined at the onset of the pandemic but increased later in 2020 and through 2021, although rates of use did not return to pre-pandemic levels for some services. We found mixed patterns of effects of the pandemic on mental health and social outcome for adults already living with mental health conditions.

Impact of COVID-19 pandemic on major depressive disorder in acute psychiatric inpatients

Introduction

The spread of the coronavirus disease 2019 (COVID-19) pandemic and the subsequent restrictions significantly affected mental health, especially major depressive disorder (MDD) whose incidence increased by 27.6% in 2020, after the COVID-19 outbreak. Few studies focused on the impact of the pandemic on the clinical characteristics of outpatients with MDD and even fewer on inpatients admitted for a major depressive episode (MDE). We aimed to compare the characteristics of MDD of two groups of patients admitted for an MDE before and after the pandemic outbreak and to investigate which variables are significantly related to post-lockdown hospitalizations.

Methods

This retrospective study included 314 patients with MDD hospitalized from January 2018 to December 2021 for an MDE (DSM-5) before (n = 154) and after (n = 160) the Italian lockdown (9th of March 2020). We compared patients' sociodemographic and clinical characteristics. The characteristics significantly different between the two groups were included in a logistic regression to identify the factors more strictly associated with post-lockdown hospitalizations.

Results

During post-lockdown hospitalization, we found a higher rate of severe MDE (33 patients, 21.4%, in the pre-lockdown and 55 patients, 34.4%, in the post), MDE with psychotic features (3 patients, 2.0%, in the pre-lockdown and 11 patients, 6.9%, in the post-lockdown), and suicidal ideation (42, 27.3%, in the pre-lockdown and 67, 41.9%, in the post-lockdown), with a lower proportion of patients followed by psychiatric services before admission (106 patients, 68.8%, in the pre-lockdown and 90 patients, 56.3%, in the post-lockdown) and a higher percentage of them in treatment with psychotherapy (18 patients, 11.7% in the pre-lockdown and 32, 20.0%, in the post-lockdown) and more frequent increase of the antidepressant dosage (16 patients, 10.4% in the pre-lockdown and 32 patients, 20.0% in the post-lockdown) and adoption of augmentation strategies (13 patients, 8.4%, in the pre-lockdown and 26 patients, 16.3%, in the post-lockdown) to treat the MDE. In the regression model, post-lockdown hospitalizations were significantly associated with suicidal ideation (OR = 1.86; p = 0.016) and psychotic features (OR = 4.41; p = 0.029) at admission, the increase in the antidepressant daily dose (OR = 2.45; p = 0.009), and the employment of an augmentation therapy (OR = 2.25; p = 0.029).

Discussion

These results showed an association between the COVID-19 pandemic and the occurrence of MDE with more severe clinical features. This might be true also for future calamities, suggesting that in these emergency contexts, patients with MDD would require more attention, resources, and intense treatments with a specific focus on suicide prevention.

The heterogeneity of late-life depression and its pathobiology: a brain network dysfunction disorder

Depression is frequent in older individuals and is often associated with cognitive impairment and increasing risk of subsequent dementia. Late-life depression (LLD) has a negative impact on quality of life, yet the underlying pathobiology is still poorly understood. It is characterized by considerable heterogeneity in clinical manifestation, genetics, brain morphology, and function. Although its diagnosis is based on standard criteria, due to overlap with other age-related pathologies, the relationship between depression and dementia and the relevant structural and functional cerebral lesions are still controversial. LLD has been related to a variety of pathogenic mechanisms associated with the underlying age-related neurodegenerative and cerebrovascular processes. In addition to biochemical abnormalities, involving serotonergic and GABAergic systems, widespread disturbances of cortico-limbic, cortico-subcortical, and other essential brain networks, with disruption in the topological organization of mood- and cognition-related or other global connections are involved. Most recent lesion mapping has identified an altered network architecture with "depressive circuits" and "resilience tracts", thus confirming that depression is a brain network dysfunction disorder. Further pathogenic mechanisms including neuroinflammation, neuroimmune dysregulation, oxidative stress, neurotrophic and other pathogenic factors, such as β-amyloid (and tau) deposition are in discussion. Antidepressant therapies induce various changes in brain structure and function. Better insights into the complex pathobiology of LLD and new biomarkers will allow earlier and better diagnosis of this frequent and disabling psychopathological disorder, and further elucidation of its complex pathobiological basis is warranted in order to provide better prevention and treatment of depression in older individuals.

Video call and depression among older adults during the COVID-19 pandemic in Japan: The JAGES one-year longitudinal study

Evidence of video call on preventing late-life depression during the COVID-19 pandemic is limited. We examined the associations of social contact (in-person, voice call, and video call) with incidence of depressive symptoms and evaluated whether specific factors (particularly, age and change in the frequency of in-person contact) affect these associations. We used longitudinal data from the 2019 and 2020 waves of the Japan Gerontological Evaluation Study, including 10,523 participants aged ≥65 years in 10 municipalities. Depressive symptoms were measured by the 15-item Geriatric Depression Scale (GDS-15) score ≥5 in main analysis, and GDS-15 score ≥4, 10, or continuous variable in sensitivity analyses. Social contact represented frequency changes before and during the pandemic: non-contact (reference), decreased-contact, maintained-contact, and increased-contact. We employed modified Poisson regression analysis. Compared to non-contact of video call, the association of increased-contact of video call with depressive symptoms was insignificant in main analysis (GDS-15 ≥ 5: risk ratio (RR) = 0.89, 95% confidence interval (CI): 0.79-1.01), whereas significant in sensitivity analyses (GDS-15 ≥ 4: RR = 0.89, 95% CI: 0.82-0.98; GDS-15 ≥ 10: RR = 0.71, 95% CI: 0.53-0.97; GDS-15 = continuous variable: Β = -0.17, 95% CI: -0.33 to -0.002). In-person contact was significantly associated with lower incidence of depressive symptoms (non-contact: reference; maintained-contact: RR = 0.92, 95% CI: 0.85-0.99; increased-contact: RR = 0.84, 95% CI: 0.77-0.91), whereas voice call was not. Age and change in the frequency of in-person contact did not show significant effect modifications on the associations of video call with incidence of depressive symptoms after Bonferroni correction for multiple testing. In conclusion, this study suggests that the evidence supporting video call as a way to protect against depressive symptoms among older adults during the pandemic appears weak compared to the evidence for in-person contact.

Depressive symptoms anticipate behavioral and emotional factors among older adults: A prospective cross-lagged panel design

This study examined the temporal relationship among depression, anxiety, insomnia, perceived stress, and physical activity in adults aged 60+ years with a history of major depressive disorder. We conducted a longitudinal study with 12 weeks of follow-up. Assessments consisted of phone or video interviews and included questionnaires evaluating depression, anxiety, insomnia, perceived stress, and physical activity. Our analytic approach consisted of a depression-focused cross-lagged panel model (CLPM) to examine week-to-week correlations among the five measures. The depression-focused CLPM identified statistically significant week-to-week self-predictive effects for each of the five measures. Higher depressive symptom burden was a strong predictor of increased stress, greater insomnia, and less physical activity the following week. No other cross-measure predictions were statistically significant. Our analytical approach clarifies the directional relationship among variables that typically co-occur with depression showing that higher depression symptom burden predisposes older adults to poor sleep, a reduced level of daytime activity, and a greater sense of stress. These findings support the need for longitudinal assessments and targeted interventions for reducing symptoms of depression in older adults.

Prevalence and factors associated with anxiety and depression among community-dwelling older adults in Hunan, China: a cross-sectional study

BACKGROUND

Older adults' psychological health is a public health issue that cannot be ignored, especially when these psychological health problems and related factors change across different social backgrounds because of rapid changes in traditions and family structures and the epidemic responses after the outbreak of COVID-19 in China. The aim of our study is to determine the prevalence of anxiety and depression and their associated factors among community-dwelling older adults in China.

METHODS

A cross-sectional study was conducted from March to May 2021 with 1173 participants aged 65 years or above from three communities in Hunan Province, China who were selected using convenience sampling. A structured questionnaire including sociodemographic characteristics, clinical characteristics, the Social Support Rating Scale (SSRS), the 7-Item Generalized Anxiety Disorder scale (GAD-7), and the Patient Health Questionnaire-9 Item (PHQ-9) was used to collect relevant demographic and clinical data and to measure social support status, anxiety symptoms, and depressive symptoms, respectively. Bivariate analyses were conducted to explore the difference in anxiety and depression based on samples' different characteristics. The multivariable logistic regression analysis was performed to test for significant predictors of anxiety and depression.

RESULTS

The prevalence of anxiety and depression were 32.74% and 37.34%, respectively. Multivariable logistic regression analysis revealed that being female, being unemployed before retirement age, lacking physical activity, having physical pain, and having three or more comorbidities were significant predictors for anxiety. Subjective social support and support utilization were significant protective factors. Regarding depression, religion, lacking physical activity, having physical pain, having three or more comorbidities were found to be significant predictors. Support utilization was a significant protective factor.

CONCLUSIONS

The study group showed a high prevalence of anxiety and depression. Gender, employment status, physical activity, physical pain, comorbidities, and social support were associated with psychological health problems of older adults. These findings suggest that governments should focus on the psychological health problems of older adults by raising community awareness of issues related to older adults' psychological health. They should also screen for anxiety and depression among high-risk groups and encourage individuals to seek supportive counseling.

Health-related quality of life and depressive symptoms of patients with chronic diseases and the general population before and during the COVID-19 pandemic in Korea

Objective

The unprecedented coronavirus disease 2019 (COVID-19) outbreak has resulted in a global crisis that negatively impacted physical well-being and mental health. Our goal was to investigate the impact of the COVID-19 pandemic on health-related quality of life (HRQoL) and depressive symptoms in patients with chronic diseases and the general population in Korea.

Methods

Data from 8341 patients with chronic diseases and 12,395 general population aged ≥20 years who participated in the Korea National Health and Nutrition Examination Survey (2017-2020) were analyzed. Patients with hypertension, dyslipidemia, diabetes, cerebrovascular disease (stroke), heart disease (myocardial infarction or angina pectoris), or cancer were classified as patients with chronic diseases. The general population was defined as those not suffering from corresponding chronic diseases. A modified EuroQol-5 Dimensions (EQ-5D), with three levels (0: extreme problems; 0.5: some problems; 1: no problems) for each dimension in EQ-5D, was used to assess HRQoL. To analyze depressive symptoms among patients with chronic diseases and the general population, we used the Patient Health Questionnaire-9 (PHQ-9) and defined a PHQ-9 score ≥ 10 as having a depressive symptom. Multivariate linear and logistic regression analyses were used to analyze HRQoL and depressive symptoms before and during the COVID-19 pandemic.

Results

The HRQoL level was significantly lower in patients with chronic diseases compared to the general population on all dimensions both before and during the COVID-19 pandemic (all value of p < 0.05). Patients with chronic diseases had significantly lower HRQoL levels associated with the anxiety/depression dimension during the COVID-19 pandemic than in the pre-pandemic period (0.940 ± 0.002 vs. 0.929 ± 0.004, value of p = 0.041). In addition, patients with chronic diseases were more likely to report depressive symptoms during the COVID-19 pandemic than in the pre-pandemic period (Odds ratio (OR): 1.755, 95% confidence interval (CI): 1.209-2.546, value of p = 0.003). However, this association was not observed in the general population (OR: 1.275, 95% CI: 0.933-1.742, value of p = 0.13).

Conclusion

The COVID-19 pandemic affected the HRQoL and psychological health in patients with chronic diseases with higher anxiety/depression during the pandemic than in the pre-pandemic period. These results suggest that it is urgent to establish continuous management guidelines, including psychosocial management for high-risk groups, and to improve the existing healthcare system.

Late-life depression: Epidemiology, phenotype, pathogenesis and treatment before and during the COVID-19 pandemic

Late-life depression (LLD) is one of the most common mental disorders among the older adults. Population aging, social stress, and the COVID-19 pandemic have significantly affected the emotional health of older adults, resulting in a worldwide prevalence of LLD. The clinical phenotypes between LLD and adult depression differ in terms of symptoms, comorbid physical diseases, and coexisting cognitive impairments. Many pathological factors such as the imbalance of neurotransmitters, a decrease in neurotrophic factors, an increase in β-amyloid production, dysregulation of the hypothalamic-pituitary-adrenal axis, and changes in the gut microbiota, are allegedly associated with the onset of LLD. However, the exact pathogenic mechanism underlying LLD remains unclear. Traditional selective serotonin reuptake inhibitor therapy results in poor responsiveness and side effects during LLD treatment. Neuromodulation therapies and complementary and integrative therapies have been proven safe and effective for the treatment of LLD. Importantly, during the COVID-19 pandemic, modern digital health intervention technologies, including socially assistive robots and app-based interventions, have proven to be advantageous in providing personal services to patients with LLD.

The bi-directional association between loneliness and depression among older adults from before to during the COVID-19 pandemic

BACKGROUND

Older adults have both the highest risk of contracting SARS-CoV-2 and in many jurisdictions have had additional restrictions placed on the social interactions. As a result, the COVID-19 pandemic has led to increased depression and loneliness among older adults. Using data from an established cohort of older adults, the aims of this study was to describe changes in loneliness and depression and to examine the directionality of the association between depression and loneliness over a 5-year period that included the early months of the pandemic.

METHODS

Data were from The Irish Longitudinal Study on Ageing (TILDA), a large cohort of community-dwelling adults aged 54+. We applied an auto-regressive cross-lagged panel modelling approach to estimate the effect of depression on loneliness and vice versa over three time points.

RESULTS

Both depression and loneliness increased significantly in the early months of the pandemic. While the association between loneliness and depression was bi-directional, loneliness was a stronger predictor of depression.

CONCLUSION

The strength and bi-directionality of the association between loneliness and depression suggests that interventions to alleviate loneliness may also help reduce depressive symptoms and vice versa.

Changes in Older Adults' Frequency of Going Outside between 2020 and 2021: Associations with Health Status and Environmental Factors

OBJECTIVES

To examine the changes in the frequency of going outside among U.S. older adults between 2020 and 2021 (post-COVID vaccine) and correlates of those changes.

METHODS

We used the 2019-2021 National Health and Aging Trend Study (NHATS) (N = 3,063, age 70+) and multinomial logistic regression to analyze associations of increased and decreased frequencies in going outside with physical, psychosocial, and cognitive health, environmental (COVID concerns and transportation) factors, and social media use as the independent variables.

RESULTS

In 2021 compared to 2020, 13% and 16% of those age 70+ reported increased and decreased frequencies, respectively. Increased frequency was associated with social media use. Decreased frequency was associated with poor physical health, depression/anxiety, and perceived memory decline. COVID concerns and transportation problems, as well as female gender, age 90+, and being non-Hispanic Black, were also significant correlates of decreased frequency.

CONCLUSIONS

Most U.S. adults age 70+ appear to have resumed their 2019 level of frequency of going outside in 2021 after the COVID vaccines became available; however, 16% reported decreased frequency of going outside in 2021 compared to 2020.

CLINICAL IMPLICATIONS

Older adults with physical, mental, and cognitive health challenges need help to increase their frequency of going outside.

Impact of the COVID-19 Pandemic on Older People's Loneliness: Findings from a Longitudinal Study between 2019 and 2021 among Older Home-Dwellers in Finland

OBJECTIVES

To investigate the change in feelings of loneliness among Finnish community-dwelling older people from before the COVID-19 pandemic in 2019 to during the pandemic in 2021. Moreover, we explore the changes in other dimensions of psychological well-being (PWB) during the study period.

DESIGN

Questionnaires were mailed in the 2019 Helsinki Aging Study, a repeated cohort study. A follow-up interview was carried on over the telephone during the year 2021.

SETTING AND PARTICIPANTS

A random sample of 2,917 home-dwelling older people aged 75-104 years residing in Helsinki, Finland were mailed the questionnaire. Altogether 898 participated in the follow-up.

MEASUREMENTS

Loneliness was measured using a single item question "Do you suffer from loneliness?". Other items of psychological well-being were measured: "Are you satisfied with your life?" (yes/no), "Do you feel useful?" (yes/no), "Do you have a zest for life?" (yes/no),"Do you have plans for the future?" (yes/no), and "Do you feel depressed?"("rarely or never"/ "sometimes"/ "often or always").

RESULTS

Altogether 898 people participated both in 2019 and 2021. The subjects' mean age was 83 years and 66% were women. Between 2019 and 2021, the prevalence of experienced loneliness increased among older home-dwellers from 26% to 30%. During two years of the pandemic feelings of loneliness (RR 1.79, 95% CI: 1.30 to 2.46) and depression (RR 1.37, 95% CI: 1.12 to 1.67) increased even adjusted with various confounders.

CONCLUSION

Considering the impact loneliness has on health and well-being, the finding of increased feelings of loneliness among older people is alarming. Actions to combat loneliness need to be taken.

A Cross-Sectional Study on the Prevalence of Depressive Symptoms and Its Associated Sociodemographic Factors in Peru during the COVID-19 Pandemic

The present study aims to analyze the prevalence of depressive symptoms and its sociodemographic-associated factors in Peruvian adults. Data was extracted from a nation-wide representative survey in which depression symptoms were measured with the PHQ-9 and sociodemographic information was extracted from household data. Depression severity rates were estimated for each symptom, and responses were modeled through the Rating Scale Model to obtain a depression measure used as dependent variable on a Generalized Mixed Linear Model. The most frequent depression symptoms were emotional, such as discouragement, sad mood, hopelessness, and lack of pleasure when doing activities. Our model showed that, after controlling the effects of all the variables considered, the most relevant predictors were gender, education level, physiographic region, age, marital status, and number of coresidents. Higher depression levels were found in women, people who did not complete higher education, participants living in the Highlands, older adults, single participants, and people living alone. Thus, interventions to promote or prevent depression severity during similar situations as the pandemic should focus on specific sociodemographic groups and their particular needs.

The Impact of the COVID-19 Pandemic on the Mental Health of Older Primary Care Patients and Their Family Members

The COVID-19 pandemic introduced mandatory stay-at-home orders and concerns about contracting a virus that impacted the physical and mental health of much of the world's population. This study compared the rates of depression and anxiety in a sample of older primary care patients (aged ≥65 years old) and their family members recruited for a clinical trial before and during the COVID-19 pandemic. Participants were dyads enrolled in the Caregiver Outcomes of Alzheimer's Disease Screening (COADS) trial, which included 1,809 dyads of older primary care patients and one of their family members. Mean scores on the Patient Health Questionnaire-9 (PHQ-9) and the Generalized Anxiety Disorder Scale-7 (GAD-7) were measured and compared before and during the pandemic. We found no difference in depression and anxiety among dyads of older primary care patients and their family members recruited before and during COVID-19. Additionally, we found that older primary care patients and family members who reported their income as comfortable had significantly lower depression and anxiety compared to those who reported having not enough to make ends meet. Along with this, older primary care patients with a high school education or less were more likely to have anxiety compared to those with a postgraduate degree. Moreover, our findings support the notion that certain demographics of older primary care patients and family members are at a higher risk for depression and anxiety, indicating who should be targeted for psychological health interventions that can be adapted during COVID-19. Future research should continue monitoring older primary care patients and their family members through the remainder of the COVID-19 pandemic.

Hair cortisol as a risk marker for increased depressive symptoms among older adults during the COVID-19 pandemic

Determining pre-existing biological risk markers of incident depression and other mental health sequelae after exposure to a new stressor would help identify vulnerable individuals and mechanistic pathways. This study investigated primarily whether hair cortisol predicted elevated depressive symptoms in middle-aged and older adults during the COVID-19 pandemic, 6 years later. A secondary aim was to deduce whether any association differed by sex.

METHODS

We studied 1025 adults aged 50 and older (75% female) as part of The Irish Longitudinal Study on Ageing. Hair cortisol samples were collected at 2014 (Wave 3) and depressive symptoms were assessed using the 8-item Center for Epidemiological Studies Depression Scale in 2014 (Wave 3), 2016 (Wave 4), 2018 (Wave 5) and again in 2020 as part of TILDA's COVID-19 Study. Hierarchical mixed effects logistic regression models were applied to investigate the association between cortisol levels and clinically significant depressive symptoms before and during the COVID-19 pandemic.

RESULTS

In a full covariate adjusted model there was a significant interaction between cortisol and wave on depressive symptoms (χ2 = 8.5, p = .03). Cortisol was positively and significantly associated with elevated depressive symptoms during the COVID-19 Study (OR =1.3, 95% CI 1.11, 1.56, p = .003), and was associated with an increased likelihood of reporting clinically significant depressive symptoms during first year of the COVID-19 pandemic, when compared with before, OR = 1.4, 95% CI 1.05, 1.9, p = .015. There was no evidence of effect modification by sex.

CONCLUSIONS

Higher hair cortisol, assessed 6 years previously, predicted clinically significant depressive symptoms among middle-aged and older adults during (but not before) the pandemic. Findings suggest a biological phenotype which denotes increased susceptibility to the negative impact of environmental stress on psychological health.

Accelerated Cognitive Function Decline in Community-Dwelling Older Adults during COVID-19 Pandemic: The Korean Frailty and Aging Cohort Study (KFACS)

This study aimed to analyze the effect of the COVID-19 pandemic on cognitive function of community-dwelling elderly individuals. Five-year (2016 to 2020) longitudinal data of the Korea Frailty and Aging Cohort Study (KFACS) were used. There were 1559 participants in 2016 and 1455 in 2017 aged 72-84 years. Follow-up was conducted at two-year intervals. We selected participants from the database of the 2017 and 2018 surveys for intergroup comparison over 2-year follow-ups. The number of study patients in the 2017-Group was 1027 and that of the 2018-Group was 879. In the intergroup comparison, the mean difference of word list memory score from 2018 to 2020 was -0.14, while that from 2017 to 2019 was 0.53. The mean difference of word list recall score from 2018 to 2020 was -0.25, while that from 2017 to 2019 was 0.03. These were significant even after adjusting confounding variables. In the intragroup comparison, the word list memory and recall scores from 2018 to 2020 were more decreased than those from 2016 to 2018. Conclusively, cognitive function of the Korean elderly cohort declined much more during the COVID-19 pandemic than before the pandemic, particularly in terms of memory and recall function.

Effects of COVID-19 pandemic on mental health among adults: A comparative analysis from different communities in Chengmai County, China

Background

Due to the strict measures employed to control the spread of SARS-CoV-2, the extent of COVID-19 goes beyond morbidity and mortality and affects individuals’ mental health in the long term.

Objective

This cross-sectional study aimed to investigate the effects of the COVID-19 pandemic on mental health and its contributing factors among older people in Chengmai County, China.

Methods

A web-based survey was administered through WeChat between March and April 2020. Older people (ie, >50 years) from local and foreign community groups completed the survey, which included items on sociodemographic and clinical characteristics, the 7-item Generalized Anxiety Disorder scale (GAD-7), and the 9-item Patient Health Questionnaire (PHQ-9). Independent t tests and a multiple linear regression analysis were used to investigate differences between anxiety and depression and the factors associated with these symptoms across the 2 groups.

Results

Overall, 469 responses were received; 119 responses (25.4%) were from male participants and 202 (43.1%) were from those older than 65 years. Of the 469 responses, 245 (52.2%) were from the local community group and 224 (47.8%) from the foreign group. The mean GAD-7 (P=.003) scores were significantly higher in the local group. Anxiety was significantly more present in the local group (61/245, 24.9% compared to 35/224, 15.6% in the foreign group; P=.01). A total of 6 respondents presented severe anxiety and 2 presented severe depression.

Conclusions

This study demonstrated that both community groups of older adults from the Chinese “Hometown of Longevity” presented anxiety or depressive disorders during the first months of the pandemic. Local community groups presented significantly more mental health disorders, which were associated with a history of previous psychological disorders.

Stimuli changes and challenging behavior in nursing homes during the COVID-19 pandemic

Background

COVID-19 restrictions in nursing homes resulted in a reduction in stimuli for residents. This study aimed to explore observed effects of changes in stimuli, both targeted (e.g., planned recreational activities) and untargeted (e.g., spontaneous noise), on challenging behavior in nursing home residents during COVID-19 anti-pandemic measures.

Methods

In an online survey, nursing home healthcare professionals in the Netherlands provided their perspectives on the effects of the reduction in untargeted stimuli on residents with mild, advanced, or no dementia, and on different types of challenging behavior (i.e., psychotic, depressed, anxious, agitated, or apathetic behavior). Additionally, we asked participants’ opinions about strategies for limiting untargeted stimuli and for adjusting targeted stimuli for optimal management of challenging behaviors.

Results

In total, 199 professionals completed the survey. Residents with advanced dementia and those with psychotic and agitated behavior seemed to benefit from the reductions in stimuli not specifically targeted at the resident. In contrast, residents without dementia and those with depressive and apathetic behavior seemed to be negatively affected by reductions in untargeted stimuli. Participants would like to continue reducing untargeted stimuli in the future (e.g., limiting the use of corridors adjacent to residents' rooms) and to adapt existing or introduce new initiatives involving targeted stimuli (e.g., small-scale, individually tailored activities). Responses to open-ended questions revealed additional initiatives that could be useful in nursing home care.

Conclusions

This study provided lessons to learn from the COVID-19 measures in nursing homes. While many residents may have been negatively affected by the restrictions imposed during the pandemic, specific resident groups may have benefitted from the reduction in untargeted stimuli and from the adjustments made to daily activities. Various strategies and initiatives used in nursing homes during the pandemic seem promising for meeting individual needs in managing challenging behavior. These findings suggest that certain stimuli may affect specific resident groups differently. This underlines the importance of finding the right balance between stimuli and tranquility, tailored to the needs of individual residents. It is important to consider the stimuli present in nursing homes, whether targeted or untargeted, when analyzing and treating challenging behavior.

Did we learn something positive out of the COVID-19 pandemic? Post-traumatic growth and mental health in the general population

Background

When facing a traumatic event, some people may experience positive changes, defined as posttraumatic growth (PTG).

Methods

Understanding the possible positive consequences of the pandemic on the individual level is crucial for the development of supportive psychosocial interventions. The present paper aims to: 1) evaluate the levels of PTG in the general population; 2) to identify predictors of each dimension of post-traumatic growth.

Results

The majority of the sample (67%, N = 13,889) did not report any significant improvement in any domain of PTG. Participants reported the highest levels of growth in the dimension of “appreciation of life” (2.3 ± 1.4), while the lowest level was found in the “spiritual change” (1.2 ± 1.2). Female participants reported a slightly higher level of PTG in areas of personal strength (p < .002) and appreciation for life (p < .007) compared to male participants, while no significant association was found with age. At the multivariate regression models, weighted for the propensity score, only the initial week of lockdown (between 9-15 April) had a negative impact on the dimension of “relating to others” (B = −.107, 95% CI = −.181 to −.032, p < .005), while over time no other effects were found. The duration of exposure to lockdown measures did not influence the other dimensions of PTG.

Conclusions

The assessment of the levels of PTG is of great importance for the development of ad hoc supportive psychosocial interventions. From a public health perspective, the identification of protective factors is crucial for developing ad-hoc tailored interventions and for preventing the development of full-blown mental disorders in large scale.

Prevalence and Related Factors of Anxiety Among University Teachers 1 Year After the COVID-19 Pandemic Outbreak in China: A Multicenter Study

OBJECTIVES

This study aimed to evaluate the prevalence of anxiety among university teachers 1 year after the onset of the coronavirus disease 2019 (COVID-19) pandemic and provide empirical evidence of psychological intervention.

METHODS

A multicenter study was conducted to examine the prevalence of anxiety among 10,302 teachers in 21 Chinese universities from February 12 to April 23, 2021. The generalized Anxiety Disorder 7-item Scale (GAD-7) was used to assess symptoms of anxiety. Multivariate logistic regression models were used to analyze the relationship between potential influence and anxiety symptoms.

RESULTS

The overall prevalence of anxiety was 40.0% 1 year after the onset of the COVID-19 pandemic, which was found to be higher in women than in men (41.32% vs. 38.22%; p < 0.0001). The multivariate logistic regression showed that being the female (OR = 1.207; 95%CI: 1.103-1.318), age ≥60 years (OR = 2.004; 95%CI: 1.128-3.560), being married (OR = 1.319; 95%CI: 1.150-1.513), and poor family economic status (OR = 1.580; 95%CI: 1.321-1.891) were significantly associated with anxiety. Participants with moderate, slight, or no impact of COVID-19 on life (OR for moderate, 0.557; 95%CI, 0.508-0.611; OR for slight/no, 0.377; 95%CI, 0.323-0.439) showed a reduced risk of anxiety compared to those who reported a significant effect.

CONCLUSIONS

Symptoms of anxiety were found in about two-fifths of Chinese university teachers 1 year after the outbreak of the COVID-19 pandemic. Our findings suggest that the government should improve the dynamic tracking of mental health and adopt long-term intervention strategies.

Bidirectional Associations Between Depressive and Anxiety Symptoms and Loneliness During the COVID-19 Pandemic: Dynamic Panel Models With Fixed Effects

Background: Understanding the direction and magnitude of mental health-loneliness associations across time is important to understand how best to prevent and treat mental health and loneliness. This study used weekly data collected over 8 weeks throughout the COVID-19 pandemic to expand previous findings and using dynamic panel models with fixed effects which account for all time-invariant confounding and reverse causation. Methods: Prospective data on a convenience and snowball sample from all 50 US states and the District of Colombia (n = 2,361 with ≥2 responses, 63.8% female; 76% retention rate) were collected weekly via online survey at nine consecutive timepoints (April 3-June 3, 2020). Anxiety and depressive symptoms and loneliness were assessed at each timepoint and participants reported the COVID-19 containment strategies they were following. Dynamic panel models with fixed effects examined bidirectional associations between anxiety and depressive symptoms and loneliness, and associations of COVID-19 containment strategies with these outcomes. Results: Depressive symptoms were associated with small increases in both anxiety symptoms (β = 0.065, 95% CI = 0.022-0.109; p = 0.004) and loneliness (β = 0.019, 0.008-0.030; p = 0.001) at the subsequent timepoint. Anxiety symptoms were associated with a small subsequent increase in loneliness (β = 0.014, 0.003-0.025; p = 0.015) but not depressive symptoms (β = 0.025, -0.020-0.070; p = 0.281). Loneliness was strongly associated with subsequent increases in both depressive (β = 0.309, 0.159-0.459; p < 0.001) and anxiety (β = 0.301, 0.165-0.436; p < 0.001) symptoms. Compared to social distancing, adhering to stay-at-home orders or quarantining were not associated with anxiety and depressive symptoms or loneliness (both p ≥ 0.095). Conclusions: High loneliness may be a key risk factor for the development of future anxiety or depressive symptoms, underscoring the need to combat or prevent loneliness both throughout and beyond the COVID-19 pandemic. COVID-19 containment strategies were not associated with mental health, indicating that other factors may explain previous reports of mental health deterioration throughout the pandemic.

Factors Associated with Depression and Anxiety in Adults ≥60 Years Old during the COVID-19 Pandemic: A Systematic Review

COVID-19 represents a threat to public health and the mental health of the aged population. Prevalence and risk factors of depression and anxiety have been reported in previous reviews in other populations; however, a systematic review on the factors associated with depression and anxiety in older adults is not currently present in the literature. We searched PubMed, Embase, Scopus, ProQuest Psychology Database, Science Direct, Cochrane Library and SciELO databases (23 February 2021). The results were obtained by entering a combination of MeSH or Emtree terms with keywords related to COVID-19, elderly, depression and anxiety in the databases. A total of 11 studies were included in the systematic review. Female gender, loneliness, poor sleep quality and poor motor function were identified as factors associated with both depression and anxiety. Aspects related to having a stable and high monthly income represent protective factors for both depression and anxiety, and exercising was described as protective for depression. This study synthesised information and analysed the main factors associated with depression and anxiety in the older population during the COVID-19 pandemic. However, the cross-sectional design of most of the included studies does not allow a causal relationship between the factors analysed and depression or anxiety.