The COVID-19 pandemic was a substantial stressor, especially for pregnant individuals.

• This Dataset aimed to understand the impact of COVID-19-related stresses on pregnant individuals and their infants and collected survey-based data across Canada as part of the Pregnancy during the COVID-19 Pandemic (PdP) project.

• Here are some information about the data:

• Maternal_Age: Maternal age (years) at intake

• Household_Income: What is the total household income, before taxes and deductions, of all the household members from all sources in 2019

• Maternal_Education: Maternal education 1- Less than high school 2- diploma 3- High school diploma 4- College/trade school 5- Undergraduate degree 6- Master's degree 7- Doctoral Degree

• EPDS: Edinburgh Postnatal Depression Scale (you can find the survey on the internet)

• PROMIS_Anxiety: Score from 7 to 35 with higher scores indicating greater severity of anxiety.

• GAbirth: Gestational age at birth (in weeks)

• Delivery_Date: Delivery Date (Dates converted to month/year of birth)

• Birth_Length: Birth length in cm

• Birth_Weight: Birth weight in grams

• Delivery_Mode: Vaginally or Caesarean-section (c-section)

• NICU_stay: Was your infant admitted to the NICU?

• Language: Survey language

• Threaten_Life: How much do (did) you think your life is (was) in danger during the COVID-19 pandemic? (0-100)

• Threaten_Baby_Danger: How much do (did) you think your unborn baby's life is (was) in danger at any time during the COVID-19 pandemic? (0-100)

• Threaten_Baby_Harm: How much are you worried that exposure to the COVID-19 virus will harm your unborn baby? (0-100)

I hope you find it useful

From June 24 to June 30, 2020, around 52.1 percent of Hispanic adults aged 18 years and older in the U.S. reported having one or more adverse mental or behavioral health symptoms during the COVID-19 pandemic. This statistic illustrates the percentage of U.S. adults who reported adverse mental health symptoms, increased substance use, and suicidal ideation during COVID-19 pandemic from June 24 to 30, 2020, by race.

Anxiety and depression are the most prevalent classes of mental illnesses; rates of anxiety and depression have been exacerbated due to the COVID-19 pandemic. Vulnerability to anxiety and depression are affected by risk and resilience factors, such as personality constructs. Recent research (e.g., Lyon et al, 2020; 2021) suggests that, out of all 30 NEO-PI-R personality constructs, variance in anxiety and depression are explained by a small number of personality constructs. However it is unclear which mechanisms mediate the relationship between these personality constructs and anxiety and depression. The purpose of this study was to investigate the mediating effect of emotion regulation strategies on the relationship between personality constructs and COVID-related anxiety and depression. Data were collected from a sample of 210 students at the University of Manchester. Measures included a select number of narrow Big Five personality facets which explain variance in anxiety and depression (facets depression, assertiveness, gregariousness, positive emotion and competence), select COPE Inventory strategies associated with coping with pandemics, and COVID-related anxiety and depression. Measures of COPE strategies and mental health were adapted to refer to coping and mental health in response to COVID pandemic.

The dataset was generated during a cross sectional survey conducted in May-June 2020, aimed at exploring the impact of COVID 19 pandemic on mental health of caregivers of people with dementia. Data come from a sample of 571 caregivers of people with dementia living in Italy and Southern Switzerland. We registered socio-demographic characteristics, and information about the relationship with the care recipient, dementia subtype, care inputs from others, and the need of care of the person with dementia. We measured caregiver burden with the Zarit Burden Interview (ZBI), psychological distress with the Depression, Anxiety and Stress Scale (DASS-21), and perceived isolation with the 3-item UCLA Loneliness Scale (UCLALS3).

U.S. Pandemic Mental Health Care

Impact on Households in Previous 4 Weeks

By US Open Data Portal, data.gov [source]

About this dataset

This U.S. Household Pandemic Impacts dataset assesses the mental health care that households in America have been receiving over the past four weeks during the Covid-19 pandemic. Produced by a collaboration between the U.S. Census Bureau, and five other federal agencies, this survey was designed to measure both social and economic impacts of Covid-19 on American households, such as employment status, consumer spending trends, food security levels and housing disruptions among other important factors. The data collected was based on an internet questionnaire which was conducted through emails and text messages sent to randomly selected housing units from across America linked with email addresses or cell phone numbers from the Census Bureau Master Address File Data; all estimates comply with NCHS Data Presentation Standards for Proportions. Be sure to check out more about how U.S Government Works for further details!

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How to use the dataset

This dataset can be useful to examine the impact of the Covid-19 pandemic on access to and utilization of mental health care by U.S. households in the last 4 weeks.

By studying this dataset, you can gain insight into how people’s mental health has been affected by the pandemic and identify trends based on population subgroups, states, phases of the survey and more.

Instructions for Use: - To get started, open up ‘csv-1’ found in this dataset. This file contains information on access to and utilization of mental health care by U.S households in the last 4 weeks, broken down into 14 different columns (e.g., Indicator, Group, State).
- Familiarize yourself with each column label (e.g., Time Period Start Date), data type (e

Research Ideas

• Analyzing the impact of pandemic-induced stress on different demographic groups, such as age and race/ethnicity.
• Comparing the mental health care services received in different states over time.
• Investigating the correlation between socio-economic status and access to mental health care services during Covid-19 pandemic

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: csv-1.csv | Column name | Description | |:---------------------------|:-------------------------------------------------------------------| | Indicator | The type of indicator being measured. (String) | | Group | The group (by age, gender or race) being measured. (String) | | State | The state where the data was collected. (String) | | Subgroup | A narrower level categorization within Group. (String) | | Phase | Phase number reflective of survey iteration. (Integer) | | Time Period | A label indicating duration captured by survey period. (String) | | Time Period Label | A label indicating duration captured by survey period. (String) | | Time Period Start Date | Beginning date for surveyed period. (DateFormat ‘YYYY-MM-DD’) | | Time Period End Date | End date for surveyed period. (DateFormat ‘YYYY-MM-DD’) | | Value | The value of the indicator being measured. (Float) | | LowCI | The lower confidence interval of the value. (Float) | | HighCI | The higher confidence interval of the value. (Float) | | Quartile Range | The quartile range of the value. (String) | | Suppression Flag | A f...

Among U.S. adults who said their mental health has changed, more women than men said their mental health had worsened during the COVID-19 pandemic and the last 10 years in general, excluding COVID-19. This statistic illustrates the percentage of U.S. adults who said their mental health has gotten worse over the last 10 years and specifically over the last year during COVID-19 as of March 2021, by gender.

ABSTRACT Objective Explore the mental health of parents with young children during the COVID-19 pandemic. Methods We used questionnaires prepared by Google Forms, applying sociodemographic data, and also the EADS-21, IES-R, PSQI-BR and WHOQOL-BREF scales were applied. Statistical analyzes were performed using SPSS 21.0 statistical software for Windows. To describe the sample, descriptive analyzes were used. In all tests, a statistical significance of 0.05 was considered. Of the 327 participants, they were divided into three groups: volunteers without children (Group 1), with children aged 0 to 6 years (Group 2), and with children aged 7 or over (Group 3). All volunteers were residents from South of Brazil. Results The groups with the greatest vulnerability in relation to their mental health are those of participants without children and parents with children aged 0 to 6 years, with higher scores for the depression, anxiety and stress, and post traumatic stress symptoms, compared to parents with children aged from 7 years or more. Conclusion even though the data show that all groups are within the normal range for the scales applied, it is necessary to pay attention to the mental health of the population in greater psychological distress, either from strategies developed by health professionals (SUS) and/or or social assistance (SUAS), either by municipal/state projects in the search for the promotion of mental health.

About The Study The How Right Now campaign (HRN), which is made possible with support from the CDC Foundation and conducted in partnership with the Centers for Disease Control and Prevention (CDC), aims to help people cope, adapt, and be resilient throughout the COVID-19 pandemic. HRN prioritizes communities that have been disproportionately affected by COVID-19. To inform the development of this campaign and respond to the evolving needs of its audiences during the COVID-19 pandemic, HRN explored Americans’ mental health, emotional well-being and coping needs using an interrupted time series design. As part of the HRN campaign evaluation, survey data were collected in English and Spanish at three time points—May 2020, May 2021, and May 2022. Data is available for the last two waves of this survey here and at https://www.norc.org/Research/Projects/Pages/how-right-now-campaign.aspx. About the Survey These public use files contain data from two of the national probability panel surveys – May 2021 (fielded from May 26-June 1, 2021) and May 2022 (fielded from May 20-May 31, 2022). Both surveys used NORC’s AmeriSpeak® panel (https://amerispeak.norc.org/), a nationally representative probability panel of over 30,000 U.S. households.1 The total sample size for the May 2021 survey was 1,022 and the total sample size for May 2022 was 1,120. Data collection procedures and protocols were reviewed and approved by NORC's Institutional Review Board and were determined exempt under 45 CFR 46 102(1) by CDC.More information is available in the document titled "How Right Now Campaign Mental Health and Coping Data – User Guide."

As of the first quarter of 2021, four in ten U.S. employees stated that the pandemic caused their mental health to decline. This was highest among Gen Z and lowest among Boomers. This statistic shows the percentage of U.S. employees who said COVID-19 had an impact on their mental health as of 2021, by generation.

Context

This data represents changes in access to healthcare and symptoms of anxiety and depression throughout the United States during the COVID-19 pandemic. Data was collected by the United States Census Bureau in the Household Pulse survey and used to estimate across the population.

Content

The data contains .xlsx files whose sheets represent regions (states, metro areas) in the US. Spreadsheets beginning with the strings "health2a" and "health2b" represent survey results on symptoms of anxiety and depression (respectively) in various subsets of the US population. Data files containing the string "_se_" represent the standard error of the estimates of the corresponding file without the "_se_" sub-string. Columns are clearly labeled in each spreadsheet.

This is time-series data. The end of a table name is the word "week" plus a number. This loosely corresponds to the number of weeks or biweekly periods after April 23, 2020 during which the data was collected. The exact dates represented by each table can be found at https://www.census.gov/programs-surveys/household-pulse-survey/data.html. (I also plan to hard-code them into a notebook which may be used freely). Please note the survey has been conducted in Phases, and data tables from different Phases may have slightly varying formats.

Acknowledgements

The data tables are downloaded directly from the US Census Bureau website, linked to above already.

Inspiration

What can we learn from this data about how the pandemic has affected mental health in the US? How does the pandemic affect mental health and access to healthcare across race? What is the correlation between access to healthcare and mental health during the pandemic? Answering these questions might help many bring context to their own struggles and feel less alone in an otherwise isolating time.

Young adulthood represents a sensitive period for young people's mental health. The lockdown restrictions associated with the COVID-19 pandemic have reduced young people's access to traditional sources of mental health support. This exploratory study aimed to investigate the online resources young people were using to support their mental health during the first lockdown period in Ireland. It made use of an anonymous online survey targeted at young people aged 18–25. Participants were recruited using ads on social media including Facebook, Twitter, Instagram, and SnapChat. A total of 393 respondents completed the survey. Many of the respondents indicated that they were using social media (51.4%, 202/393) and mental health apps (32.6%, 128/393) as sources of support. Fewer were making use of formal online resources such as charities (26%, 102/393) or professional counseling services (13.2%, 52/393). Different social media platforms were used for different purposes; Facebook was used for support groups whilst Instagram was used to engage with influencers who focused on mental health issues. Google search, recommendations from peers and prior knowledge of services played a role in how resources were located. Findings from this survey indicate that digital technologies and online resources have an important role to play in supporting young people's mental health. The COVID-19 pandemic has highlighted these digital tool's potential as well as how they can be improved to better meet young people's needs

BackgroundDuring the COVID-19 pandemic, many healthcare workers faced extreme working conditions and were at higher risk of infection with the coronavirus. These circumstances may have led to mental health problems, such as anxiety, among healthcare workers. Most studies that examined anxiety among healthcare workers during the COVID-19 pandemic were cross-sectional and focused on the first months of the pandemic only. Therefore, this study aimed to investigate the longitudinal association between working in healthcare and anxiety during a long-term period (i.e., 18 months) of the COVID-19 pandemic.MethodsData were used from online questionnaires of the Lifelines COVID-19 prospective cohort with 22 included time-points (March 2020–November 2021). In total, 2,750 healthcare workers and 9,335 non-healthcare workers were included. Anxiety was assessed with questions from the Mini-International Neuropsychiatric Interview, and an anxiety sum score (0–7) was calculated. Negative binomial generalized estimating equations (GEE), adjusted for demographic, work and health covariates, were used to examine the association between working in healthcare and anxiety.ResultsAnxiety sum scores over time during the COVID-19 pandemic were similar for healthcare workers and non-healthcare workers. No differences between the anxiety sum scores of healthcare workers and non-healthcare workers were found [incidence rate ratio (IRR) = 0.97, 95% CI = 0.91–1.04].ConclusionThis study did not find differences between healthcare workers and non-healthcare in perceived anxiety during the COVID-19 pandemic.

This data table covers key mental health, economic and education indicators at the provincial and territorial levels of geography to better understand the different ways that remote learning approaches and temporarily closed schools have affected children and youth during the COVID-19 pandemic.

This repository contains the raw dataset associated to the scientific article "Stable psychological traits predict psychological perceived stress to COVID-19 outbreak”, by L. Flesia, V. Fietta, B. Segatto, M. Monaro. Data are contained in the excel file and organized as follows:

- the entire dataset used by the authors to perform statistical analysis

- the training set used by the authors to train and validate ML models

- the test set used by the authors to test the ML models

The "Legend" file contains the description of each variable in the excel file.

The step by step instructions to replicate the results of ML classification models, which are reported in the paper, including two .arff files containing the training and test set od data that can be directly run in WEKA software 3.9.

The "COVID-19 QUESTIONNAIRE" file contains the English version of the questions administered to participants.

Data presented in this paper related to Malaysian university reaerch-based students’ perceptions that affect their psychological health during the COVID-19 pandemic. A sample of 384 was drawn from approximately 193,570 population both Ph.D. and research-based Master students who are currently studying in Malaysia during the COVID-19 pandemic. A simple random sampling technique was used to collect the data. Data were collected through an online survey questionnaire. The surveys were administered to the Ph.D. and research-based master’s students between June 15 and June 29, 2020, with the support of Internet platforms (Institutional Email, Google Form, WhatsApp), and resulted in valid 103 responses. The response rate is 26.82%. Demographic information data were collected by using 11 items. Psychological impact data were collected by using the 7-item Generalized Anxiety Disorder Scale (GAD-7), and research progress, academic life and daily life related data were collected by using 3 items.

The attached .csv file contains data obtained from an online survey available between to participants between November 2020 and January 2021. The principle outcome variable is loneliness and the principle exposure is chronotype.For more information please contact ray.norbury@brunel.ac.uk

Given the urgent need for data to inform public health messaging to mitigate the spread of the COVID-19 pandemic, this national survey sought to assess the state of COVID-19-related knowledge, beliefs, mental health, substance use changes, and behaviors among a sample of U.S. adults. A survey of U.S. adults was administered online from March 20-30, 2020. The survey collected data on socio-demographic characteristics; COVID-19-related knowledge, awareness and adoption of preventive practices; depression and anxiety (assessed by the Patient Health Questionnaire-4); stress (adapted Impact of Event Scale-6); pessimism; and changes in tobacco and alcohol use.

BACKGROUND: Coronavirus disease caused by the novel coronavirus Covid-19 is a current worldwide outbreak. The use of quarantine and isolation proved effective in containing the spread of infection. OBJECTIVES: The purpose of this cross-sectional study was to assess the mental health of Albanian people residing in the country and abroad during the quarantine period for the Covid-19 pandemic. DESIGN: This study was carried out from 25th March – 20th April 2020 through a web survey shared on social networks. The goal was to reach at least the minimum sample size for cross-sectional studies. The Patient Health Questionnaire (PHQ-9) was used to assess mental health. Chi-square (χ2) and Fisher –Exact test were used to assess the statistical significance among variables. P values ≤0.05 were considered statistically significant. RESULTS: 715 participants were included in the final analyses (78.41% females and 21.53% males). Most were residents in Albania (80.41%) and the others resided mainly in Italy (6.89%), Greece (3.51%), Germany (2.43%), Kosovo (1.62%) and the UK (1.69%). Statistical association was found between gender, country of residency and measures taken. Summary score of PHQ-9 items was 6.4662. The total score of depression classification shows that 31.82% and 12.90% of participants have respectively mild and moderate depression. Female participants showed the highest score for some items of PHQ-9, p≤0.05. CONCLUSIONS: Findings suggest that health care professionals should recognize and address mental health problems associated with Covid-19 especially in vulnerable groups. Acting in a timely and proper manner is essential in preventing these problems from becoming chronic.

The stress response to the COVID-19 pandemic might differ between early and later stages. Longitudinal data on the development of population mental health during COVID-19 pandemic is scarce. We have investigated mental health trajectories and predictors for change in a probability sample of the general population in Germany at the beginning and after 6 months of the pandemic. We conducted a longitudinal survey in a population-based probability sample of German adults. The current study analyzed data from a first assessment in May 2020 (T1; N = 1,412) and a second in November 2020 (T2; N = 743). Mental health was assessed in terms of anxiety and depression using the Patient Health Questionnaire-4 (PHQ-4). Mental health outcomes at T1 were compared with PHQ-4 norm data. Trajectories over time were investigated based on outcome classifications of PHQ-4 scores. Predictors of mental health outcomes and change were identified using multiple regression analysis. In spring 2020, participants showed significantly higher PHQ-4 scores as compared to the norm data, however, overall anxiety and depression remained low also 6 months later. 6.6% of respondents showed a mental health deterioration in autumn 2020, entering subclinical and clinical ranges, outweighing the proportion of people with improved outcomes. Sociodemographic variables associated with mental distress at T1 were mainly not predictive for change at T2. Even under prolonged pandemic-related stress, mental health remained mainly stable in the general population. Further development of the considerable subgroup experiencing deterioration of depression and anxiety should be monitored, in order to tailor prevention and intervention efforts.

Around ** percent of respondents reported feeling more emotionally exhausted since the COVID-19 outbreak. This statistic shows the percentage of workers who reported select mental health symptoms since the COVID-19 outbreak, globally as of April 2020. The survey was conducted among employees in select countries: Australia, France, Germany, New Zealand, Singapore, the United Kingdom and the United States.