A newer version of this project is available. See below for other available versions.

COVID-19 Coping Study

Principal Investigator(s): View help for Principal Investigator(s) Lindsay Kobayashi, University of Michigan. School of Public Health; Jessica Finlay, University of Michigan. Institute for Social Research

Version: View help for Version V1

Name	File Type	Size	Last Modified
1 Month questionnaire.pdf	application/pdf	282.3 KB	07/19/2021 07:25:AM
2 Month questionnaire.pdf	application/pdf	289.9 KB	07/09/2021 07:49:AM
3 Month questionnaire.pdf	application/pdf	292.3 KB	07/09/2021 07:53:AM
4 Month questionnaire.pdf	application/pdf	251.7 KB	07/09/2021 07:57:AM
5 Month questionnaire.pdf	application/pdf	245.6 KB	03/15/2021 07:49:AM
6 Month questionnaire.pdf	application/pdf	248 KB	03/15/2021 08:29:AM
Baseline Questionnaire.pdf	application/pdf	177.1 KB	03/15/2021 09:13:AM
C19CS Codebook t0-t6.xlsx	application/vnd.openxmlformats-officedocument.spreadsheetml.sheet	78.8 KB	10/12/2021 10:52:AM
C19CS Data Labeled.csv	text/csv	24.5 MB	10/12/2021 10:58:AM
C19CS Data Numeric.csv	text/csv	11.9 MB	10/12/2021 10:53:AM

Project Citation:

Kobayashi, Lindsay, and Finlay, Jessica. COVID-19 Coping Study. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-10-12. https://doi.org/10.3886/E131022V1

Project Description

Summary: The COVID-19 Coping Study is a national, longitudinal cohort study of 6,938 US adults aged ≥55 enrolled from April 2nd through May 31st, 2020 in all 50 US states, the District of Columbia, and Puerto Rico. Participants were recruited through a non-probability multi-frame sampling strategy, and completed data collection through online questionnaires administered via the University of Michigan Qualtrics in English (N=6,886) and Spanish (N=52). Data were collected on a variety of demographic, social, and health-related topics including COVID-19 symptom and testing history, COVID-19-related stressors and worries, self-isolation and social distancing practices, behavior changes and coping mechanisms, mental health symptom scales, and living arrangements. A sub-set of the baseline sample (N=4,401) were sent monthly follow-up questionnaires over the following 12 months. The included files contain baseline through 6-month of follow-up data from the COVID-19 Coping Study. Data are available in Stata (C19CS.dta), a CSV file with value labels (C19CS Labelled.csv), and a CSV file with numeric values (C19CS Numeric.csv).

Scope of Project

Subject Terms: mental health; loneliness; social isolation; aging; COVID-19; coping

Geographic Coverage: All 50 US states, the District of Columbia, and Puerto Rico

Collection Date(s): 4/2/2020 – 9/28/2020

Universe: 6,938 US adults aged ≥55

Data Type(s): survey data

Methodology

Response Rate: A total of 4,453 participants were recruited in the snowball sampling frame from 2 April to 31 May 2020 with 4,401 questionnaires completed in English and 52 in Spanish. A total of 2,485 were recruited in the panel sampling frame from 17 April to 15 May 2020, for a total of 6,938 participants. Monthly follow-up questionnaires were sent to snowball sampling frame participants who completed English baseline questionnaires (N=4,401). A detailed description of response rates can be found in the recruitment flow diagram.

Sampling: The COVID-19 Coping Study consists of two sampling frames. The first sampling frame was the ‘snowball sample’, which was recruited through social media, advertisements, organizational mailing lists, the NIH ResearchMatch database, the University of Michigan Health Research database and word-of-mouth snowball sampling in English and Spanish.

The second sampling frame was the ‘panel sample’, which was recruited from an online research panel maintained by the professional survey company Dynata. Sampling quotas were implemented for age, gender, race, ethnicity and education that matched the general US population aged ≥55 years based on the Centers for Disease Control and Prevention’s Wideranging Online Data for Epidemiologic Research. Panel sample participants received a nominal amount of approximately US$1.

Collection Mode(s): web-based survey

Scales: Life Satisfaction was measured with a 10-point Likert scale, ranging from 0 (completely dissatisfied) to 10 (completely satisfied)

Self-rated health was measured with a 5-point Likert scale, ranging from 0 (poor) to 4 (Excellent)

Self-rated memory was measured with a 5-point Likert scale, ranging from 0 (poor) to 4 (Excellent)

Loneliness was measured using the three-item University of California, Los Angeles (UCLA) Loneliness Scale (Hughes et. al., 2004).

Depression was measured using the eight-item Center for Epidemiological Studies Depression (CES-D) Scale (Steffick, 2000).

Anxiety was measured using the Beck Anxiety Inventory (Smith et. al., 2017).

Worry about COVID-19 pandemic was measured with a 5-point Likert scale, ranging from 0 (Not at all) to 4 (Extremely).

Participant's level of agreement that they received assistance from their community during social distancing measures or shelter in place orders was measured with a 5-point Likert scale, ranging from 0 (strongly disagree) to 4 (strongly agree).

Participant's level of agreement that the federal government cares about older adults in America was measured with a 5-point Likert scale, ranging from 0 (strongly disagree) to 4 (strongly agree).

Participant's level of agreement that their state government cares about older adults in their state was measured with a 5-point Likert scale, ranging from 0 (strongly disagree) to 4 (strongly agree).

Participant's level of agreement that respect for older adults has decreased during COVID-19 was measured with a 5-point Likert scale, ranging from 0 (strongly disagree) to 4 (strongly agree).

Industry working in or worked in before retirement was coded from open-ended descriptions according to the 2018 Standard Occupational Classification from the U.S. Bureau of Labor Statistics.

Weights: The attrition weights used in this study were constructed as the inverse probability of study retention. We constructed a separate set of weights for the 4-month, 5-month, and 6-month follow-ups, using different definitions of dropout in each weight calculation. The final inverse probability weights (IPWs) are designed to up-weight individuals similar those who dropped out after baseline, and down-weight individuals similar to those who participated in any survey through the follow-up survey of interest (either the 4-, 5-, or 6-month). Please see a detailed description of the weight calculations in the file C19CS Weight Construction.pdf

Unit(s) of Observation: Individuals

Related Publications

Download this project

Published Versions

V3 [2022-06-10]

V2 [2022-06-08]

V1 [2021-10-12]

Export Metadata

Dublin Core

DDI 2.5

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.