scholarly journals Flattening the Mental Health Curve: COVID-19 Stay-at-Home Orders are Associated with Alterations in Mental Health Search Behavior in the United States

Author(s):  
Nicholas C. Jacobson ◽  
Damien Lekkas ◽  
George Price ◽  
Michael V. Heinz ◽  
Minkeun Song ◽  
...  

Background: COVID-19 has led to dramatic changes globally in persons’ everyday lives. To combat the pandemic, many governments have implemented social distancing, quarantine, and stay-at-home orders. There is limited research on the impact of such extreme measures on mental health. Objective: The goal of the present study was to examine whether stay-at-home orders produced differential changes in mental health symptoms using internet search queries at a national scale. Methods: In the United States, individual states vary in their adoption of measures to reduce the spread of COVID-19; as of March 23, 2020, eleven of the fifty states had issued stay-at-home orders. The staggered rollout of stay-at-home measures across the U.S. allows us to investigate whether these measures impact mental health by exploring variations in mental health search queries across the states. The current manuscript examines the changes in mental health search queries on Google between March 16-23, 2020 across each state and Washington D.C. Specifically, the current manuscript examines differential change in mental health searches based on patterns of search activity following issuance of stay-at-home orders in these states compared to all other states. Participants included all persons who searched mental health terms in Google between March 16-23. Between March 16-23, eleven states underwent stay-at-home orders to prevent the transmission of COVID-19. Outcomes included search terms measuring anxiety, depression, obsessive-compulsive, negative thoughts, irritability, fatigue, anhedonia, concentration, insomnia, and suicidal ideation. Results: Analyzing over 10 million search queries using generalized additive mixed models, the results suggested that the implementation of stay-at-home orders are associated with a significant flattening of the curve for searches for suicidal ideation, anxiety, negative thoughts, and sleep disturbances with the most prominent flattening associated with suicidal ideation and anxiety. Conclusions: These results suggest that, despite decreased social contact, mental health search queries increased rapidly prior to the issuance of stay-at-home orders, and these changes dissipated following the announcement and enactment of these orders. Although more research is needed to examine sustained effects, these results suggest mental health symptoms were associated with an immediately leveling off following the issuance of stay-at-home orders.

10.2196/19347 ◽  
2020 ◽  
Vol 7 (6) ◽  
pp. e19347 ◽  
Author(s):  
Nicholas C Jacobson ◽  
Damien Lekkas ◽  
George Price ◽  
Michael V Heinz ◽  
Minkeun Song ◽  
...  

Background The coronavirus disease (COVID-19) has led to dramatic changes worldwide in people’s everyday lives. To combat the pandemic, many governments have implemented social distancing, quarantine, and stay-at-home orders. There is limited research on the impact of such extreme measures on mental health. Objective The goal of this study was to examine whether stay-at-home orders produced differential changes in mental health symptoms using internet search queries on a national scale. Methods In the United States, individual states vary in their adoption of measures to reduce the spread of COVID-19; as of March 23, 2020, 11 of the 50 states had issued stay-at-home orders. The staggered rollout of stay-at-home measures across the United States allows us to investigate whether these measures impact mental health by exploring variations in mental health search queries across the states. This paper examines the changes in mental health search queries on Google between March 16-23, 2020, across each state and Washington, DC. Specifically, this paper examines differential changes in mental health searches based on patterns of search activity following issuance of stay-at-home orders in these states compared to all other states. The participants were all the people who searched mental health terms in Google between March 16-23. Between March 16-23, 11 states underwent stay-at-home orders to prevent the transmission of COVID-19. Outcomes included search terms measuring anxiety, depression, obsessive-compulsive, negative thoughts, irritability, fatigue, anhedonia, concentration, insomnia, and suicidal ideation. Results Analyzing over 10 million search queries using generalized additive mixed models, the results suggested that the implementation of stay-at-home orders are associated with a significant flattening of the curve for searches for suicidal ideation, anxiety, negative thoughts, and sleep disturbances, with the most prominent flattening associated with suicidal ideation and anxiety. Conclusions These results suggest that, despite decreased social contact, mental health search queries increased rapidly prior to the issuance of stay-at-home orders, and these changes dissipated following the announcement and enactment of these orders. Although more research is needed to examine sustained effects, these results suggest mental health symptoms were associated with an immediate leveling off following the issuance of stay-at-home orders.


Author(s):  
Nicholas C Jacobson ◽  
Damien Lekkas ◽  
George Price ◽  
Michael V Heinz ◽  
Minkeun Song ◽  
...  

BACKGROUND The coronavirus disease (COVID-19) has led to dramatic changes worldwide in people’s everyday lives. To combat the pandemic, many governments have implemented social distancing, quarantine, and stay-at-home orders. There is limited research on the impact of such extreme measures on mental health. OBJECTIVE The goal of this study was to examine whether stay-at-home orders produced differential changes in mental health symptoms using internet search queries on a national scale. METHODS In the United States, individual states vary in their adoption of measures to reduce the spread of COVID-19; as of March 23, 2020, 11 of the 50 states had issued stay-at-home orders. The staggered rollout of stay-at-home measures across the United States allows us to investigate whether these measures impact mental health by exploring variations in mental health search queries across the states. This paper examines the changes in mental health search queries on Google between March 16-23, 2020, across each state and Washington, DC. Specifically, this paper examines differential changes in mental health searches based on patterns of search activity following issuance of stay-at-home orders in these states compared to all other states. The participants were all the people who searched mental health terms in Google between March 16-23. Between March 16-23, 11 states underwent stay-at-home orders to prevent the transmission of COVID-19. Outcomes included search terms measuring anxiety, depression, obsessive-compulsive, negative thoughts, irritability, fatigue, anhedonia, concentration, insomnia, and suicidal ideation. RESULTS Analyzing over 10 million search queries using generalized additive mixed models, the results suggested that the implementation of stay-at-home orders are associated with a significant flattening of the curve for searches for suicidal ideation, anxiety, negative thoughts, and sleep disturbances, with the most prominent flattening associated with suicidal ideation and anxiety. CONCLUSIONS These results suggest that, despite decreased social contact, mental health search queries increased rapidly prior to the issuance of stay-at-home orders, and these changes dissipated following the announcement and enactment of these orders. Although more research is needed to examine sustained effects, these results suggest mental health symptoms were associated with an immediate leveling off following the issuance of stay-at-home orders.


2021 ◽  
Author(s):  
Mark É Czeisler ◽  
Alexandra Drane ◽  
Sarah S Winnay ◽  
Emily R Capodilupo ◽  
Charles A Czeisler ◽  
...  

AbstractObjectivesTo estimate the prevalence of unpaid caregiving during the coronavirus disease 2019 (COVID-19) pandemic, and to identify factors associated with adverse mental health symptoms, substance use, and suicidal ideation in this population, which provides critical support in health care systems by providing care to older adults and those with chronic conditions.MethodsIn June 2020, Internet-based surveys with questions about demographics, caregiving responsibilities, and mental health were administered to US adults aged ≥18 years. Demographic quota sampling and survey weighting to improve cross-sectional sample representativeness of age, gender, and race/ethnicity. Prevalence ratios for adverse mental health symptoms were estimated using multivariable Poisson regressions.ResultsOf 9,896 eligible invited adults, 5,412 (54.7%) completed surveys; 5,011 (92.6%) respondents met screening criteria and were analysed, including 1,362 (27.2%) caregivers. Caregivers had higher prevalences of adverse mental health symptoms than non-caregivers, including anxiety or depressive disorder symptoms (57.6% vs 21.5%, respectively, p<0.0001) having recently seriously considered suicide (33.4% vs 3.7%, p<0.0001). Symptoms were more common among caregivers who were young vs older adults (e.g., aged 18–24 vs ≥65 years, aPR 2.75, 95% CI 1.95–3.88, p<0.0001), Hispanic or Latino vs non-Hispanic White (1.14, 1.04–1.25, p=0.0044), living with vs without disabilities (1.18, 1.10–1.26, p<0.0001), and with moderate and high vs low Caregiver Intensity Index scores (2.31, 1.65–3.23; 2.81, 2.00–3.94; both p<0.0001). Suicidal ideation was more prevalent among non-Hispanic Black vs non-Hispanic White caregivers (1.48, 1.15–1.90, p=0.0022).ConclusionsCaregivers, who accounted for one in four US adult respondents in this nationally representative sample, more commonly reported adverse mental health symptoms than non-caregivers. Increased visibility of and access to mental health care resources are urgently needed to address mental health challenges of caregiving.


2019 ◽  
Vol 32 (12) ◽  
pp. 1409-1418 ◽  
Author(s):  
Sophia Wang ◽  
Philip Hanneman ◽  
Chenjia Xu ◽  
Sujuan Gao ◽  
Duane Allen ◽  
...  

ABSTRACTBackground:As many as 70% of intensive care unit (ICU) survivors suffer from long-term physical, cognitive, and psychological impairments known as post-intensive care syndrome (PICS). We describe how the first ICU survivor clinic in the United States, the Critical Care Recovery Center (CCRC), was designed to address PICS using the principles of Agile Implementation (AI).Methods:The CCRC was designed using an eight-step process known as the AI Science Playbook. Patients who required mechanical ventilation or were delirious ≥48 hours during their ICU stay were enrolled in the CCRC. One hundred twenty subjects who completed baseline HABC-M CG assessments and had demographics collected were included in the analysis to identify baseline characteristics that correlated with higher HABC-M CG scores. A subset of patients and caregivers also participated in focus group interviews to describe their perceptions of PICS.Results:Quantitative analyses showed that the cognitive impairment was a major concern of caregivers. Focus group data also confirmed that caregivers of ICU survivors (n = 8) were more likely to perceive cognitive and mental health symptoms than ICU survivors (n = 10). Caregivers also described a need for ongoing psychoeducation about PICS, particularly cognitive and mental health symptoms, and for ongoing support from other caregivers with similar experiences.Conclusions:Our study demonstrated how the AI Science Playbook was used to build the first ICU survivor clinic in the United States. Caregivers of ICU survivors continue to struggle with PICS, particularly cognitive impairment, months to years after discharge. Future studies will need to examine whether the CCRC model of care can be adapted to other complex patient populations seen by health-care professionals.


2021 ◽  
pp. OP.20.00752
Author(s):  
Jessica Yasmine Islam ◽  
Denise C. Vidot ◽  
Marlene Camacho-Rivera

PURPOSE: The COVID-19 pandemic has affected the mental health of adults in the United States because of recommended preventive behaviors such as physical distancing. Our objective was to evaluate mental health symptoms and identify associated determinants among cancer survivors during the COVID-19 pandemic in the United States. METHODS: We used nationally representative data of 10,760 US adults from the COVID-19 Impact Survey. We defined cancer survivors as adults with a self-reported diagnosis of cancer (n = 854, 7.6%). We estimated associations of mental health symptoms among cancer survivors using multinomial logistic regression. We estimated determinants of reporting at least one mental health symptom 3-7 times in the 7 days before survey administration among cancer survivors using multivariable Poisson regression. RESULTS: Cancer survivors were more likely to report feeling nervous, anxious, or on edge (adjusted odds ratio [aOR], 1.42; 95% CI, 1.07 to 1.90); depressed (aOR, 1.57; 95% CI, 1.18 to 2.09); lonely (aOR, 1.42; 95% CI, 1.05 to 1.91); and hopeless (aOR, 1.51; 95% CI, 1.11 to 2.06) 3-7 days per week in the last 7 days when compared with adults without cancer. Among cancer survivors, adults of age 30-44 years (adjusted prevalence ratio [aPR], 1.87; 95% CI, 1.18 to 2.95), females (aPR, 1.55, 95% CI, 1.12 to 2.13), adults without a high school degree (aPR, 1.79; 95% CI, 1.05 to 3.04), and adults with limited social interaction (aPR, 1.40, 95% CI, 1.01 to 1.95) were more likely to report at least one mental health–related symptom in the last 7 days (3-7 days/week). CONCLUSION: Cancer survivors are reporting mental health symptoms during the COVID-19 pandemic, particularly young adults, adults without a high school degree, women, and survivors with limited social support.


2018 ◽  
Vol 1 (7) ◽  
pp. e184945 ◽  
Author(s):  
Jordan E. DeVylder ◽  
Hyun-Jin Jun ◽  
Lisa Fedina ◽  
Daniel Coleman ◽  
Deidre Anglin ◽  
...  

2021 ◽  
Vol 49 (2) ◽  
pp. 196-232
Author(s):  
Katherine C. Jorgenson ◽  
Johanna E. Nilsson

More than 100,000 Somali refugees have resettled in the United States, creating a need for additional research about mental health needs and premigration experiences that precede resettlement. The purpose of this study was to learn more about premigration traumatic experiences, the process of acculturation following resettlement, and the relationship between premigration trauma, acculturation, and mental health. Eighty Somali refugees from two mid-sized Midwestern cities participated. It was hypothesized that acculturation would mediate the relationship between premigration trauma and mental health symptoms. The results partially supported this hypothesis, dependent upon the dimension of acculturation included in the path analysis. Unexpected relationships among the various acculturation dimensions in the model (American cultural identity, English language competency, and American cultural competency) occurred with traumatic experiences, mental health symptoms, and time in the United States. We discuss implications and directions for future research, practice, advocacy, and training.


2021 ◽  
pp. 002076402110272
Author(s):  
Dana Alonzo ◽  
Marciana Popescu ◽  
Pinar Zubaroglu-Ioannides

Background: On March 5th, Guatemala declared a ‘State of Calamity’ in response to the COVID-19 pandemic and strict lockdown measures were initiated. The psychological consequences of these measures are yet to be fully understood. There is limited research on the psychological impact of the virus in the general population, and even less focused on Latin America and high-risk communities characterized by poverty, limited mental health resources, and high rates of stigma around mental illness. The goal of this study is to examine the psychological impact of COVID-19 across several highly vulnerable districts in Guatemala. Methods: A semi-structured phone interview was conducted of 295 individuals in multiple districts in Guatemala City to assess self-perceived mental health consequences related to the pandemic. Sociodemographic, medical, and mental health data were collected. Chisquares and t-tests used for categorical and continuous variables, as appropriate, to describe the sample. Binary logistic regressions were estimated to examine associations between sociodemographic characteristics and mental health symptoms (anxiety, stress, depression, burnout, escalation of pre-existing mental health symptoms, and a sense of safety). Results: The results indicate high levels of anxiety and stress in all target communities. Significant differences based on gender, age, and the number of children in the household were identified: women and older adults experience higher rates of stress and anxiety associated with the pandemic; while families with greater number of children experience higher levels of burnout. Conclusion: Contextualizing the current pandemic as a complex emergency can help inform further studies focusing on socioeconomic challenges and higher vulnerabilities as preconditions affecting the impact of the pandemic on mental health. Given the limited available resources for mental health care in Guatemala, informal networks of care may play an important role in meeting the needs of those individuals experiencing increased psychological distress resulting from the pandemic.


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