{"id":{"repo_id":"ku","oai_identifier":"oai:kuscholarworks.ku.edu:1808/37321"},"canonical_url":"https://search.dev.ndltd.org/etd/ku/oai:kuscholarworks.ku.edu:1808/37321","repository":{"repo_id":"ku","name":"University of Kansas","base_url":"https://kuscholarworks.ku.edu/server/oai/request"},"display":{"title":"An Analysis of the CoRonavIruS Health Impact Survey: Parent’s Self-Report of Children’s Exposure, Diagnosis, Prevention, and Parental Mental Health Amidst the COVID-19 Pandemic in the United States","abstract":"Title: An Analysis of the CoRonavIruS Health Impact Survey: Parent’s Self-Report of Children’s Exposure, Diagnosis, Prevention, and Parental Mental Health Amidst the COVID-19 Pandemic in the United States Purpose: To examine demographic differences (e.g., racial/ethnic categories, gender, age, essential worker) as risk factors for COVID-19, (b) the exposure to COVID-19, and (c) parental mental health challenges in the COVID-19 pandemic. Research Question: What parental factors are associated with (a) exposure, (b) prevention behaviors, (c) COVID-19 testing, (d) COVID-19 diagnosis, and (e) parental mental health? Design: Descriptive analysis and chi-square analyses Sample and Setting: Prolific Academic (https://www.prolific.ac/) (PA), an online was administered between November 7th and 17th, 2020, Prolific Academic (https://www.prolific.ac/) (PA). The sample was targeted at regions that were more severely impacted by COVID-19 in late March 2020 (New York and California). The final analytic sample size for parents in the United States was 615 (selected from California and New York, respectively). Separate 24-h test-retest reliability samples were obtained from 71 US parents concurrently with the US samples. Methods: The CoRonavIruS Health Impact Survey (CRISIS) was administered to US parents with possible exposure and diagnosis to SARS-COVID-19. A 5-point Likert scale questionnaire was developed to measure the exposure, diagnosis, and impact of COVID-19 on their mental health. Prolific Academic cleaned the data by checking for completeness and value range. Descriptive statistics were used to measure demographic variables. Risk factors included race/ethnicity, sex, age (parent and child), parent education, government assistance, insurance, and employment status. Outcome variables included (a) prevention behaviors of COVID-19, (b) testing and diagnosis of COVID-19, (c) exposure to COVID-19, and (d) parental mental health during the COVID-19. Descriptive statistics and chi-square analyses measured continuous and categorical variables: (a) parent and child demographic information, (b) prevention behaviors, (c) exposure, (c) COVID-19 testing, (d) COVID-19 diagnosis, and (e) parental mental health during the COVID-19 pandemic. Results: The results revealed statistically significant relationships among the parent’s age, child’s age, insurance, distancing, COVID-19 testing, and COVID-19 diagnosis in relation to parental mental health. Conclusion: Understanding how the COVID-19 pandemic impacts short and long-term goals of parent’s is critical to supporting and providing resources for parental mental health. Additional research is needed to examine parental mental health within a family systems approach. Disclosures: The Child Mind Institute, National Institute of Mental Health, and the NYS Nathan Kline Institute funded the CoRonavIruS Health Impact Survey.","abstract_html":"Title: An Analysis of the CoRonavIruS Health Impact Survey: Parent’s Self-Report of Children’s Exposure, Diagnosis, Prevention, and Parental Mental Health Amidst the COVID-19 Pandemic in the United States Purpose: To examine demographic differences (e.g., racial/ethnic categories, gender, age, essential worker) as risk factors for COVID-19, (b) the exposure to COVID-19, and (c) parental mental health challenges in the COVID-19 pandemic. Research Question: What parental factors are associated with (a) exposure, (b) prevention behaviors, (c) COVID-19 testing, (d) COVID-19 diagnosis, and (e) parental mental health? Design: Descriptive analysis and chi-square analyses Sample and Setting: Prolific Academic (https://www.prolific.ac/) (PA), an online was administered between November 7th and 17th, 2020, Prolific Academic (https://www.prolific.ac/) (PA). The sample was targeted at regions that were more severely impacted by COVID-19 in late March 2020 (New York and California). The final analytic sample size for parents in the United States was 615 (selected from California and New York, respectively). Separate 24-h test-retest reliability samples were obtained from 71 US parents concurrently with the US samples. Methods: The CoRonavIruS Health Impact Survey (CRISIS) was administered to US parents with possible exposure and diagnosis to SARS-COVID-19. A 5-point Likert scale questionnaire was developed to measure the exposure, diagnosis, and impact of COVID-19 on their mental health. Prolific Academic cleaned the data by checking for completeness and value range. Descriptive statistics were used to measure demographic variables. Risk factors included race/ethnicity, sex, age (parent and child), parent education, government assistance, insurance, and employment status. Outcome variables included (a) prevention behaviors of COVID-19, (b) testing and diagnosis of COVID-19, (c) exposure to COVID-19, and (d) parental mental health during the COVID-19. Descriptive statistics and chi-square analyses measured continuous and categorical variables: (a) parent and child demographic information, (b) prevention behaviors, (c) exposure, (c) COVID-19 testing, (d) COVID-19 diagnosis, and (e) parental mental health during the COVID-19 pandemic. Results: The results revealed statistically significant relationships among the parent’s age, child’s age, insurance, distancing, COVID-19 testing, and COVID-19 diagnosis in relation to parental mental health. Conclusion: Understanding how the COVID-19 pandemic impacts short and long-term goals of parent’s is critical to supporting and providing resources for parental mental health. Additional research is needed to examine parental mental health within a family systems approach. Disclosures: The Child Mind Institute, National Institute of Mental Health, and the NYS Nathan Kline Institute funded the CoRonavIruS Health Impact Survey.","abstract_has_math":false,"creators":["Utley, Cheryl Anita Rose"],"institution":"University of Kansas","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Choi, Won"],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-08-31","date_published":"2022-08-31","updated_at":"2026-07-24T02:45:31Z","subjects":["Epidemiology","COVID-19","Parental Mental Health"],"languages":["en"],"rights":["Copyright held by the author."],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["http://dissertations.umi.com/ku:18597"],"render_values":[{"text":"http://dissertations.umi.com/ku:18597","href":"http://dissertations.umi.com/ku:18597","code":true}]}]},"links":{"outbound_url":"https://hdl.handle.net/1808/37321","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Choi, Won"]},{"key":"dc:creator","label":"Author","values":["Utley, Cheryl Anita Rose"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2026-04-14T19:43:40Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2026-04-14T19:43:40Z"]},{"key":"dc:date.issued","label":"Date","values":["2022-08-31"]},{"key":"dc:publisher","label":"Institution","values":["University of Kansas"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Epidemiology","COVID-19","Parental Mental Health"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright held by the author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["http://dissertations.umi.com/ku:18597"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/1808/37321"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Title: An Analysis of the CoRonavIruS Health Impact Survey: Parent’s Self-Report of Children’s Exposure, Diagnosis, Prevention, and Parental Mental Health Amidst the COVID-19 Pandemic in the United States Purpose: To examine demographic differences (e.g., racial/ethnic categories, gender, age, essential worker) as risk factors for COVID-19, (b) the exposure to COVID-19, and (c) parental mental health challenges in the COVID-19 pandemic. Research Question: What parental factors are associated with (a) exposure, (b) prevention behaviors, (c) COVID-19 testing, (d) COVID-19 diagnosis, and (e) parental mental health? Design: Descriptive analysis and chi-square analyses Sample and Setting: Prolific Academic (https://www.prolific.ac/) (PA), an online was administered between November 7th and 17th, 2020, Prolific Academic (https://www.prolific.ac/) (PA). The sample was targeted at regions that were more severely impacted by COVID-19 in late March 2020 (New York and California). The final analytic sample size for parents in the United States was 615 (selected from California and New York, respectively). Separate 24-h test-retest reliability samples were obtained from 71 US parents concurrently with the US samples. Methods: The CoRonavIruS Health Impact Survey (CRISIS) was administered to US parents with possible exposure and diagnosis to SARS-COVID-19. A 5-point Likert scale questionnaire was developed to measure the exposure, diagnosis, and impact of COVID-19 on their mental health. Prolific Academic cleaned the data by checking for completeness and value range. Descriptive statistics were used to measure demographic variables. Risk factors included race/ethnicity, sex, age (parent and child), parent education, government assistance, insurance, and employment status. Outcome variables included (a) prevention behaviors of COVID-19, (b) testing and diagnosis of COVID-19, (c) exposure to COVID-19, and (d) parental mental health during the COVID-19. Descriptive statistics and chi-square analyses measured continuous and categorical variables: (a) parent and child demographic information, (b) prevention behaviors, (c) exposure, (c) COVID-19 testing, (d) COVID-19 diagnosis, and (e) parental mental health during the COVID-19 pandemic. Results: The results revealed statistically significant relationships among the parent’s age, child’s age, insurance, distancing, COVID-19 testing, and COVID-19 diagnosis in relation to parental mental health. Conclusion: Understanding how the COVID-19 pandemic impacts short and long-term goals of parent’s is critical to supporting and providing resources for parental mental health. Additional research is needed to examine parental mental health within a family systems approach. Disclosures: The Child Mind Institute, National Institute of Mental Health, and the NYS Nathan Kline Institute funded the CoRonavIruS Health Impact Survey."]},{"key":"dc:title","label":"Title","values":["An Analysis of the CoRonavIruS Health Impact Survey: Parent’s Self-Report of Children’s Exposure, Diagnosis, Prevention, and Parental Mental Health Amidst the COVID-19 Pandemic in the United States"]}]}],"canonical_facts":{"dc:contributor.advisor":["Choi, Won"],"dc:creator":["Utley, Cheryl Anita Rose"],"dc:date.accessioned":["2026-04-14T19:43:40Z"],"dc:date.available":["2026-04-14T19:43:40Z"],"dc:date.issued":["2022-08-31"],"dc:description.abstract":["Title: An Analysis of the CoRonavIruS Health Impact Survey: Parent’s Self-Report of Children’s Exposure, Diagnosis, Prevention, and Parental Mental Health Amidst the COVID-19 Pandemic in the United States Purpose: To examine demographic differences (e.g., racial/ethnic categories, gender, age, essential worker) as risk factors for COVID-19, (b) the exposure to COVID-19, and (c) parental mental health challenges in the COVID-19 pandemic. Research Question: What parental factors are associated with (a) exposure, (b) prevention behaviors, (c) COVID-19 testing, (d) COVID-19 diagnosis, and (e) parental mental health? Design: Descriptive analysis and chi-square analyses Sample and Setting: Prolific Academic (https://www.prolific.ac/) (PA), an online was administered between November 7th and 17th, 2020, Prolific Academic (https://www.prolific.ac/) (PA). The sample was targeted at regions that were more severely impacted by COVID-19 in late March 2020 (New York and California). The final analytic sample size for parents in the United States was 615 (selected from California and New York, respectively). Separate 24-h test-retest reliability samples were obtained from 71 US parents concurrently with the US samples. Methods: The CoRonavIruS Health Impact Survey (CRISIS) was administered to US parents with possible exposure and diagnosis to SARS-COVID-19. A 5-point Likert scale questionnaire was developed to measure the exposure, diagnosis, and impact of COVID-19 on their mental health. Prolific Academic cleaned the data by checking for completeness and value range. Descriptive statistics were used to measure demographic variables. Risk factors included race/ethnicity, sex, age (parent and child), parent education, government assistance, insurance, and employment status. Outcome variables included (a) prevention behaviors of COVID-19, (b) testing and diagnosis of COVID-19, (c) exposure to COVID-19, and (d) parental mental health during the COVID-19. Descriptive statistics and chi-square analyses measured continuous and categorical variables: (a) parent and child demographic information, (b) prevention behaviors, (c) exposure, (c) COVID-19 testing, (d) COVID-19 diagnosis, and (e) parental mental health during the COVID-19 pandemic. Results: The results revealed statistically significant relationships among the parent’s age, child’s age, insurance, distancing, COVID-19 testing, and COVID-19 diagnosis in relation to parental mental health. Conclusion: Understanding how the COVID-19 pandemic impacts short and long-term goals of parent’s is critical to supporting and providing resources for parental mental health. Additional research is needed to examine parental mental health within a family systems approach. Disclosures: The Child Mind Institute, National Institute of Mental Health, and the NYS Nathan Kline Institute funded the CoRonavIruS Health Impact Survey."],"dc:identifier.other":["http://dissertations.umi.com/ku:18597"],"dc:identifier.uri":["https://hdl.handle.net/1808/37321"],"dc:language.iso":["en"],"dc:publisher":["University of Kansas"],"dc:rights":["Copyright held by the author."],"dc:subject":["Epidemiology","COVID-19","Parental Mental Health"],"dc:title":["An Analysis of the CoRonavIruS Health Impact Survey: Parent’s Self-Report of Children’s Exposure, Diagnosis, Prevention, and Parental Mental Health Amidst the COVID-19 Pandemic in the United States"],"dc:type":["Thesis"]},"updated_at":"2026-07-24T02:45:31Z"}