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Schultz AA, Nelson-Bakkum E, Nikodemova M, Luongo S, Barnet JH, Walsh MC, Bersch A, Sethi A, Peppard P, Cadmus-Bertram L, Engelman CD, Lubsen J, Jackson T, Mc Malecki K. Participant attrition from statewide, population-based Survey of the Health of Wisconsin into the longitudinal SHOW COVID-19 cohort. Ann Epidemiol 2024; 94:9-18. [PMID: 38604574 DOI: 10.1016/j.annepidem.2024.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 04/05/2024] [Accepted: 04/08/2024] [Indexed: 04/13/2024]
Abstract
PURPOSE Longitudinal studies are essential for examining how social and institutional determinants of health, historical and contemporary, affect disparities in COVID-19 related outcomes. The unequal impacts of COVID-19 likely exacerbated selected attrition in longitudinal research. This study examines attrition and survey mode effects in the SHOW COVID-19 study which recruited from a statewide, representative cohort. MATERIALS & METHODS Participants were recruited from the Survey of the Health of Wisconsin (SHOW) cohort. Online surveys, or phone interviews, were administered at three timepoints during 2020-2021. The surveys captured social, behavioral, and structural determinants of health and the lived experience. Univariate and multivariate logistic regression was used to examine predictors of participation and survey mode effects. RESULTS A total of 2304 adults completed at least one COVID-19 online survey. Participants were more educated, older, and more likely to be female, married, non-Hispanic, and White compared to non-participants. Phone participants were older, less educated, and more likely be non-White, food insecure, and have co-morbidities compared to online participants. Mode effects were seen with reporting COVID-19 beliefs, loneliness, and anxiety. CONCLUSION The SHOW COVID-19 cohort offers unique longitudinal data but suffered from selected attrition. Phone interview is an important mode for retention and representation.
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Affiliation(s)
- Amy A Schultz
- University of Wisconsin Madison, Department of Population Health Sciences, School of Medicine and Public Health, Madison, WI, USA.
| | - Erin Nelson-Bakkum
- University of Wisconsin Madison, Department of Population Health Sciences, School of Medicine and Public Health, Madison, WI, USA
| | - Maria Nikodemova
- University of Florida, Public Health & Health Professions, Gainesville, FL, USA
| | - Sarah Luongo
- University of Wisconsin Madison, Department of Population Health Sciences, School of Medicine and Public Health, Madison, WI, USA
| | - Jodi H Barnet
- University of Wisconsin Madison, Department of Population Health Sciences, School of Medicine and Public Health, Madison, WI, USA
| | - Matthew C Walsh
- University of Wisconsin Madison, Department of Population Health Sciences, School of Medicine and Public Health, Madison, WI, USA
| | - Andrew Bersch
- University of Wisconsin Madison, Department of Population Health Sciences, School of Medicine and Public Health, Madison, WI, USA
| | - Ajay Sethi
- University of Wisconsin Madison, Department of Population Health Sciences, School of Medicine and Public Health, Madison, WI, USA
| | - Paul Peppard
- University of Wisconsin Madison, Department of Population Health Sciences, School of Medicine and Public Health, Madison, WI, USA
| | - Lisa Cadmus-Bertram
- University of Wisconsin Madison, Department of Kinesiology, School of Medicine and Public Health Madison, WI, USA
| | - Corinne D Engelman
- University of Wisconsin Madison, Department of Population Health Sciences, School of Medicine and Public Health, Madison, WI, USA
| | - Julia Lubsen
- University of Wisconsin-Madison, Department of Family Medicine, School of Medicine and Public Health Madison, WI, USA
| | - Tarakee Jackson
- Medical College of Wisconsin, Department of Medicine, Milwaukee, WI, USA
| | - Kristen Mc Malecki
- University of Illinois Chicago, School of Public Health, Chicago, IL, USA
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Yap MC, Wu F, Huang X, Tang L, Su K, Tong X, Kwok SC, Wu C, Wang S, He Z, Yan LL. Association between individual resilience and depression or anxiety among general adult population during COVID-19: a systematic review. J Public Health (Oxf) 2023; 45:e639-e655. [PMID: 37580860 DOI: 10.1093/pubmed/fdad144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 07/10/2023] [Indexed: 08/16/2023] Open
Abstract
BACKGROUND The coronavirus disease (COVID-19) pandemic exacerbated depression and anxiety worldwide. Resilience is important to maintain mental health during uncertain times, but limited study has systematically reviewed its association with depression or anxiety with an emphasis on the general population. METHODS We searched PubMed and Embase for quantitative or mixed-methods studies on the general adult population published between 1 January 2020 and 31 April 2022 (PROSPERO ID: CRD 42022340935). National Institute of the Health quality assessment tools was used to assess the risk of bias. We qualitatively synthesized findings by outcome and study design. RESULTS A total of 2945 studies were screened and 35 studies were included in the narrative analysis (5 on depression, 9 on anxiety, and 21 on both). Overall, 21 studies identified statistically significant inverse associations between resilience and depression, while 24 studies found statistically significant inverse associations between resilience and anxiety. Eight studies reported no statistically significant relationships between resilience with depression or anxiety. CONCLUSIONS Resilience was found to be inversely associated with depression and anxiety during the COVID-19 pandemic. The findings highlight the importance of resilience-enhancing intervention in migrating the global mental health burden from outbreaks of infectious diseases.
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Affiliation(s)
- Mei Chen Yap
- Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, 215316, China
| | - Fei Wu
- Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, 215316, China
| | - Xulei Huang
- Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, 215316, China
| | - Lingli Tang
- Graduate School of Education, Harvard University, Cambridge, MA, 02138, USA
| | - Kehan Su
- Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, 215316, China
| | - Xin Tong
- Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, 215316, China
- Data Science Research Center, Duke Kunshan University, Kunshan, Jiangsu, 215316, China
| | - Sze Chai Kwok
- Data Science Research Center, Duke Kunshan University, Kunshan, Jiangsu, 215316, China
- Division of Natural and Applied Sciences, Duke Kunshan University, Kunshan, Jiangsu, 215316, China
- Duke Institute for Brain Sciences, Duke University, Durham, NC, 27708, USA
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, 200062, China
- Shanghai Changning Mental Health Center, Shanghai, 200335, China
- Shanghai Key Laboratory of Brain Functional Genomics, Key Laboratory of Brain Functional Genomics (Ministry of Education), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, 200062, China
| | - Chenkai Wu
- Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, 215316, China
| | - Shan Wang
- Data Science Research Center, Duke Kunshan University, Kunshan, Jiangsu, 215316, China
- Division of Natural and Applied Sciences, Duke Kunshan University, Kunshan, Jiangsu, 215316, China
| | - Zhengting He
- Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, 215316, China
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21025, USA
| | - Lijing L Yan
- Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, 215316, China
- Duke Global Health Institute, Duke University, Durham, NC, 27710, USA
- School of Public Health, Wuhan University, Wuhan, Hubei, 430071, China
- Institute for Global Health and Development, Peking University, Beijing, 100871, China
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3
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Wootton AR, Soled KRS, Puckett JA, Garrett-Walker JJ, Hill AP, Delucio K, Veldhuis CB. Community (dis)connectedness and identity among LGBTQIA+ people during the COVID-19 pandemic: A qualitative cross-sectional and longitudinal trajectory study. PSYCHOLOGY & SEXUALITY 2023; 15:170-192. [PMID: 38800743 PMCID: PMC11114605 DOI: 10.1080/19419899.2023.2241868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 06/27/2023] [Indexed: 05/29/2024]
Abstract
The coronavirus disease 2019 (COVID-19) pandemic and associated shelter-in-place ordinances passed in the first year of the pandemic rapidly limited access to in-person social interactions, raising concerns of diminishing social support and community cohesion while psychological stressors increased. For LGBTQIA+ people, connectedness to the LGBTQIA+ community is known to buffer against the harmful effects of stressors and decrease risks for poor psychological and behavioral health outcomes. The current study uses qualitative cross-sectional and trajectory analysis methods to characterize how LGBTQIA+ people's perceptions of community connectedness shifted during the first year of the pandemic. A convenience sample of LGBTQIA+-identified people in the U.S. completed an initial online survey in September 2020 (n = 298 and a follow-up survey in September 2021 (n = 129). The survey included changes in connectedness to the LGBTQIA+ community since the pandemic's beginning. Thus, we used both cross-sectional (between-person analyses) and longitudinal trajectory (within-person analyses) qualitative approaches to understanding changes in LGBTQIA+ people's sense of connection to the LGBTQIA+ community across the first two years of the COVID-19 pandemic. Eight cross-cutting themes (related to identity shifts/exploration, disconnection, online connections, and increased awareness of social justice issues) were identified and then organized within each level of the Social-Ecological Model of LGBTQIA+ wellbeing (i.e., the individual-, couple-, interpersonal-, organizational-, community-, and chronosystem- level). Given the importance of social support for LGBTQIA+ wellbeing, more longitudinal research is needed to determine whether these changes persist after the resolution of the acute phase of the pandemic.
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Affiliation(s)
- Angie R Wootton
- School of Social Welfare, University of California, Berkeley, California, USA
| | - Kodiak R S Soled
- Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Jae A Puckett
- Department of Psychology, Michigan State University, East Lansing, Michigan, USA
| | - J J Garrett-Walker
- Ontario Institute for Studies in Education, University of Toronto, Toronto, Canada
| | - Aaron Perry Hill
- School of Social Welfare, University of California, Berkeley, California, USA
| | - Kevin Delucio
- Fairhaven College of Interdisciplinary Studies, Western Washington University, Bellingham, WA, USA
| | - Cindy B Veldhuis
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Institute for Sexual and Gender Minority Health and Wellbeing, Northwestern University, Chicago, IL, USA
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Ghasemi F. Teachers’ demographic and occupational attributes predict feelings of hopelessness during the COVID-19 pandemic. Front Psychol 2022; 13:913894. [DOI: 10.3389/fpsyg.2022.913894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 09/26/2022] [Indexed: 11/06/2022] Open
Abstract
The outbreak of the COVID-19 pandemic has resulted in many emotional consequences for teachers, including feelings of isolation, loneliness, and hopelessness. However, evidence on the prevalence of hopelessness and the associated factors in teachers during the pandemic is limited. The purpose of this research was to examine the prevalence of hopelessness in public school teachers and identify risk factors associated with it. A sample of 168 teachers aged 25–49 years participated in the study by completing the Socio-Demographic Questionnaire, the Beck Hopelessness Scale (BHS), and the Multi-Dimensional Scale of Perceived Social Support (MSPSS). The results revealed a moderate level of experienced hopelessness in teachers. Hopelessness prevalence was also significantly different across teacher gender (males = 79%), age groups (>40 = 77%), socioeconomic status (poor socioeconomic status = 70%), educational level (high school teachers = 79%), professional experience (experienced teachers = 82%), and perceived social support (low perceived social support = 79%). The results of a logistic regression analysis confirmed the effects of these demographic and occupational attributes on hopelessness by explaining ~71% of the variance in hopelessness feelings. Higher odds ratios were associated with age, socioeconomic status, and perceived social support, signifying the prominence of these factors in predicting hopelessness. The study contributes to identifying and screening teachers at risk of hopelessness in public schools and recommends promoting collegial/superior support as well as a positive school climate as the protective factors against hopelessness.
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