| Literature DB >> 32449555 |
Ruth Striegel Weissman1, Kelly L Klump2, Jennifer Rose1.
Abstract
The COVID-19 pandemic has impacted research around the globe and required shuttering of research programs and the implementation of procedural adjustments to ensure safety. This study sought to document COVID-19's impact on eating disorders (ED) research, which may be particularly susceptible to such disruptions, given its focus on individuals who are physically and emotionally vulnerable. We invited ED researchers from editorial boards and scientific organizations to complete a quantitative/qualitative survey about: COVID-19's current and future impact on ED research; areas of concern about research disruptions; and effective strategies for conducting and supporting research during and after COVID-19. Among 187 participants, many had moved studies online and/or shutdown part of their research. Across position types (permanent, 52.7%; temporary, 47.3%), participants reported high concern about data collection, recruitment, and securing future funding. Those holding temporary positions reported significantly greater concern about COVID-19's impact on their career and greater stress than participants in permanent positions. Strategies for dealing with research disruptions included: employing technology; reprioritizing goals/tasks; and encouraging collaboration. Results underscore the high levels of stress and disruption caused by COVID-19. We echo calls by our respondents for support for early career scholars and advocacy for additional resources for research and scientists.Entities:
Keywords: COVID-19; coronavirus; eating disorders; methodology; online research; research methods; stress; telehealth
Mesh:
Year: 2020 PMID: 32449555 PMCID: PMC7280663 DOI: 10.1002/eat.23303
Source DB: PubMed Journal: Int J Eat Disord ISSN: 0276-3478 Impact factor: 4.861
Chi‐square test results by position type
| Total sample | Tenured | Other | ||||||
|---|---|---|---|---|---|---|---|---|
| Variable | N | Percent | N | Percent | N | Percent | Chi‐sq ( |
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| Gender | 8.45 (1) |
| ||||||
| Male | 43 | 23.4% | 31 | 72.1% | 12 | 27.9% | ||
| Female | 141 | 76.6% | 66 | 46.8% | 75 | 53.2% | ||
| Transition ED studies to online | 0.13 (1) | .605 | ||||||
| No | 93 | 49.7% | 51 | 51.5% | 42 | 47.7% | ||
| Yes | 94 | 50.3% | 48 | 48.5% | 46 | 52.3% | ||
| Future changes to research practice | 0.02 (1) | .894 | ||||||
| No | 133 | 71.1% | 70 | 70.7% | 63 | 71.6% | ||
| Yes | 54 | 28.9% | 29 | 29.3% | 25 | 28.4% | ||
| Change in performance evaluations | 0.31 (1) | .578 | ||||||
| No | 128 | 68.4% | 66 | 66.7% | 62 | 70.5% | ||
| Yes | 59 | 31.6% | 33 | 33.3% | 26 | 29.5% | ||
The N and percentages for Gender do not total to 187 or 100%, respectively, because three individuals (1.6%) responded “don't wish to report”.
Respondents answering “no” or “too soon to tell” were combined into “no” for this item.
ANOVA test results by position type
| Position | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total sample | Tenured | Other | |||||||||||||
| Variable | N | M | ( | Median | N | M | ( | Median | N | M | ( | Median | F ( |
| Cohen's d |
| Amount of research shutdown | 184 | 2.45 | (1.62) | 3 | 97 | 2.42 | (1.61) | 3 | 87 | 2.48 | (1.63) | 3 | 0.06 (1,182) | .802 | 0.04 |
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| Staffing | 186 | 3.73 | (3.15) | 3 | 99 | 4.00 | (3.07) | 5 | 87 | 3.43 | (3.23) | 3 | 1.54 (1,184) | .215 | 0.18 |
| Budget | 186 | 3.73 | (2.97) | 3 | 99 | 3.84 | (2.95) | 4 | 87 | 3.60 | (3.01) | 3 | 0.30 (1,184) | .583 | 0.08 |
| Data collection | 187 | 6.22 | (2.99) | 6 | 99 | 5.92 | (2.92) | 6 | 88 | 6.57 | (2.94) | 7 | 2.29 (1,185) | .132 | 0.22 |
| Recruitment | 186 | 6.15 | (3.17) | 7 | 99 | 6.17 | (2.96) | 7 | 87 | 6.13 | (3.40) | 7 | 0.01 (1,184) | .923 | 0.01 |
| Institutional approval | 185 | 2.87 | (2.95) | 2 | 99 | 2.57 | (2.72) | 2 | 86 | 3.22 | (3.17) | 2 | 2.29 (1,183) | .132 | 0.22 |
| Supply procurement | 184 | 2.49 | (2.82) | 2 | 99 | 2.27 | (2.66) | 1 | 85 | 2.75 | (2.99) | 2 | 1.33 (1,182) | .251 | 0.17 |
| Future funding | 182 | 6.48 | (2.85) | 7 | 96 | 6.08 | (2.87) | 7 | 86 | 6.92 | (2.77) | 8 | 3.97 (1,180) | .048 | 0.30 |
| Impact on career | 157 | 4.92 | (3.42) | 5 | 76 | 3.08 | (2.75) | 2 | 81 | 6.65 | (3.08) | 8 | 58.6 (1,155) |
| 1.20 |
| Stress level | 183 | 6.70 | (2.22) | 7 | 96 | 6.19 | (2.34) | 6 | 87 | 7.26 | (1.93) | 7 | 11.38 (1,181) |
| 0.50 |
Note: Aside from the item asking “Amount of research shutdown” (see below), all other items were rated on a 10‐point scale from 0 (no concern/no stress) to 10 (extreme concern/extreme stress).
Abbreviations: M, mean; SD, standard deviation.
The “Amount of research shutdown” item was coded on a 6‐point scale as follows: 1 = 0% of research shutdown; 2 = up to 20% of research shutdown; 3 = up to 40% of research shutdown; 4 = up to 60% of research shutdown; 5 = up to 80% of research shut down; 6 = up to 100% of research shutdown.
ANOVA test results by gender
| Gender | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total sample | Male | Female | |||||||||||||
| Variable | N | M | ( | Median | N | M | ( | Median | N | M | ( | Median | F ( |
| Cohen's d |
| Amount of research shutdown | 184 | 2.45 | (1.62) | 3 | 42 | 2.60 | 1.59 | 2.5 | 139 | 2.40 | 1.63 | 3 | 0.46 (1,179) | .501 | 0.12 |
| Concerns | |||||||||||||||
| Staffing | 186 | 3.73 | (3.15) | 3 | 43 | 4.91 | 2.88 | 5 | 140 | 3.37 | 3.12 | 3 | 8.27 (1,181) |
| 0.50 |
| Budget | 186 | 3.73 | (2.97) | 3 | 43 | 4.14 | 2.95 | 4 | 140 | 3.60 | 2.94 | 3 | 1.11 (1,181) | .294 | 0.18 |
| Data collection | 187 | 6.22 | (2.99) | 6 | 43 | 6.02 | 2.53 | 6 | 141 | 6.33 | 3.00 | 7 | 0.38 (1,182) | .540 | 0.11 |
| Recruitment | 186 | 6.15 | (3.17) | 7 | 43 | 6.26 | 2.92 | 7 | 140 | 6.08 | 3.25 | 6.5 | 0.10 (1,181) | .749 | 0.06 |
| Institutional approval | 185 | 2.87 | (2.95) | 2 | 43 | 3.58 | 3.21 | 3 | 139 | 2.64 | 2.78 | 2 | 3.49 (1,180) | .063 | 0.33 |
| Supply procurement | 184 | 2.49 | (2.82) | 2 | 42 | 3.33 | 3.28 | 2 | 139 | 2.26 | 2.64 | 1 | 4.75 (1,179) | .031 | 0.39 |
| Future funding | 182 | 6.48 | (2.85) | 7 | 42 | 5.98 | 2.72 | 6.5 | 138 | 6.62 | 2.88 | 7 | 1.63 (1,178) | .203 | 0.23 |
| Impact on career | 157 | 4.92 | (3.42) | 5 | 35 | 3.14 | 3.36 | 1 | 119 | 5.45 | 3.25 | 6 | 13.3 (1,152) |
| 0.71 |
| Stress level | 183 | 6.70 | (2.22) | 7 | 43 | 6.19 | 2.59 | 5 | 137 | 6.88 | 2.08 | 7 | 3.18 (1,178) | .076 | 0.31 |
Note: Aside from the item asking about “Amount of research shutdown” (see below), all other items were rated on a 10‐point scale from 0 (no concern/no stress) to 10 (extreme concern/extreme stress).
Abbreviations: M, mean; SD, standard deviation.
The “Amount of research shutdown” item was coded on a 6‐point scale as follows: 1 = 0% of research shutdown; 2 = up to 20% of research shutdown; 3 = up to 40% of research shutdown; 4 = up to 60% of research shutdown; 5 = up to 80% of research shut down; 6 = up to 100% of research shutdown.
Number of comments recorded and themes and illustrative (shortened, paraphrased)
| Statements identified by open‐ended questions. |
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| Attending online conferences or webinar programs; creating a platform for virtual convening to share information or provide support; using crowd‐sourcing for participant recruitment; switching to remote design implementation. |
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| Prioritizing tasks that can be done remotely; adjusting study goals; writing more review papers; focusing on analysis of data already collected by the respondent or of data created by others; brainstorming ideas for future projects. |
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| Focusing on what is feasible rather than dwelling on what is impossible; accepting the inevitability of reduced productivity; letting go of self‐imposed expectations. |
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| Learning new skills related to use of online technologies; reassigning staff; inviting colleagues to the team who cannot continue their own research but have time to work on data analysis and manuscript preparation. |
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| Using apps (e.g., Venmo to pay participants, facetime for collecting weight data); holding meetings via zoom or Webex; conducting survey research via Qualtrics. |
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| Using screen sharing to teach participants how to collect their own data at home; forming study groups for the research team to learn use of technology tools; shifting data collection task from research team to others (e.g., teachers). |
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| Recognizing the need for clear communication because your audience may experience information overload; holding frequent staff meetings to make sure everyone feels informed and connected; keeping in touch with participants to reduce study drop‐outs. |
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(respondents were instructed to skip the question if they did not anticipate making changes or had checked “it's too soon to tell”). |
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| Exploring online interventions; collecting all data online; training research staff in online procedures. |
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| Increasing focus on qualitative research; reducing the emphasis on imaging studies; contemplating a career change. |
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| Jointly recruiting participants; employing open science practices (e.g., sharing methods); sharing advice about best practices. |
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| Raising awareness that eating disorders receive insufficient resources for research and interventions; advocating for research funding of COVID‐19 related work; advocating funds to support students. |
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| Encouraging and supporting others, especially early‐career scholars; being aware of challenges colleagues may be encountering; practicing kindness; giving others a break. |
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| Holding conferences online; conducting webinars for professional development; increasing online research. |
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| Distractions due to childcare responsibilities; potential differential impact of family responsibilities as a career detriment for women; missing out on learning opportunities via informal encounters that typically happen in the workplace; disruptions threatening students' opportunities for graduate school stipends; disruptions diminishing the educational opportunities for students currently on internship; worries about a bad job market for graduates. |