| Literature DB >> 36131372 |
Grace M De Souza1, Tamanna Tiwari2, Christopher H Fox3, Patricia A Miguez4, Ariadne Letra5, Maria L Geisinger6, Mangala Patel7, Luciana Shaddox8, Effie Ioannidou9.
Abstract
BACKGROUND/Entities:
Keywords: gender differences; research productivity; researchers; scholarly work; workforce
Year: 2022 PMID: 36131372 PMCID: PMC9538829 DOI: 10.1002/jdd.13104
Source DB: PubMed Journal: J Dent Educ ISSN: 0022-0337 Impact factor: 2.313
Description of the study population (N = 715)
| Male ( | Female ( |
| |
|---|---|---|---|
|
| |||
| 20–29 years old | 15 (27.8) | 39 (72.2) | 0.0001 |
| 30–39 years old | 62 (45.9) | 73 (54.1) | |
| 40–49 years old | 74 (43.0) | 98 (57.0) | |
| 50–59 years old | 80 (51.9) | (48.1) | |
| ≥60 years old | 140 (71.4) | 56 (28.6) | |
| Prefer not to answer | 1 (33.3) | 2 (66.7) | |
|
| |||
| Single | 20 (27.8) | 52 (72.2) | 0.0001 |
| Partnered/Unmarried | 46 (43.4) | 60 (56.6) | |
| Married | 289 (59.2) | 199 (40.8) | |
| Divorced/Separated | 10 (32.3 | 21 (67.7) | |
| Widowed | 8 (44.4) | 10 (55.6) | |
|
| |||
| Child under 18 | 114 (49.4) | 117 (50.6) | 0.0001 |
| Children under 18 living with other parent | 5 (83.3) | 1 (16.7) | |
| Children under 18 in shared custody | 2 (40.0) | 3 (60.0) | |
| Children over 18 on their own | 102 (75.6) | 33 (24.4) | |
| Children over 18 in the house | 39 (59.1) | 27 (40.9) | |
| No children | 111 (40.8) | 161 (59.2) | |
|
| |||
| Post‐Doc | 112 (52.1) | 103 (47.9) | 0.026 |
| PhD | 151 (56.8) | 115 (43.2) | |
| Masters | 40 (37.0) | 68 (63.0) | |
| Professional degree | 64 (54.2) | 54 (45.8) | |
| Other | 3 (75.0) | 1 (25.0) | |
| DDs/PhD | 2 (66.7) | 1 (33.3) | |
|
| |||
| Employed—working from home, due to COVID‐19 | 100 (41.0) | 144 (59.0) | 0.004 |
| Employed—working on job site, not at home | 103 (59.9) | 69 (40.1) | |
| Employed—working from home since before COVID‐19 | 5 (71.4) | 2 (28.6) | |
| Employed—working from home and job site | 137 (56.4) | 106 (43.6) | |
| Not Employed—laid off or furloughed due to COVID‐19 | 4 (57.1) | 3 (42.9) | |
| Not employed before COVID‐19 | 12 (63.2) | 7 (36.8) | |
| Other | 6 (60.0) | 4 (40.0) | |
|
| |||
| Graduate student | 27 (33.3) | 54 (66.7) | 0.0001 |
| Post‐doctorate fellow | 18 (34.6) | 34 (65.4) | |
| Assistant professor, non‐tenure | 29 (45.3) | 35 (54.7) | |
| Associate professor, non‐tenure | 18 (42.9) | 24 (57.1) | |
| Full Professor non‐tenure | 25 (59.5) | 17 (40.5) | |
| Assistant professor; pre‐tenure/tenure‐track | 24 (49.0) | 25 (51.0) | |
| Associate professor; pre‐tenure/tenure‐track | 12 (52.2) | 11 (47.8) | |
| Associate Professor with tenure | 49 (55.1) | 40 (44.9) | |
| Full professor with tenure | 108 (58.7) | 76 (41.3) | |
| Retired | 33 (73.3) | 12 (26.7) | |
| Other | 7 (70.0) | 3 (30.0) | |
|
| |||
| Part‐time | 57 (57.0) | 43 (43.0) | |
| Full‐time | 298 (50.4) | 289 (49.6) | |
| Retired | 20 (74.1) | 7 (25.9) | |
| Other | 2 (66.7) | 1 (33.3) | |
|
| |||
| Primary researcher | 104 (49.5) | 106 (50.5) | 0.0001 |
| Dental, PhD, or Post‐Doc student | 21 (33.3) | 42 (66.7) | |
| Professional engaging in scientific research | 92 (55.8) | 73 (44.2) | |
| Science management, policy advice, and implementation management | 34 (72.3) | 13 (27.7) | |
| Administration | 18 (75.0) | 6 (25.0) | |
| Teaching and research | 16 (57.1) | 12 (42.9) | |
| Retired | 4 (100.0) | (0.0) | |
| Other | 5 (55.6) | 4 (44.4) | |
| Two or more roles | 79 (49.4) | 81 (50.6) | |
| Not reported | 0 (0.0) | 5 (100.0) |
Abbreviation: COVID‐19, coronavirus disease 2019.
Chi square test, p < 0.05 indicates statistical differences.
FIGURE 1Changes were reported in scholarly productivity as a result of the coronavirus disease 2019 (COVID‐19) pandemic restrictions. Blue bars represent male respondents and dashed lines represent female respondents for the same category.
FIGURE 2Career stage, tenure, and promotion: (A) gender percentage of respondents per career stage; (B) gender percentage and level of concern of pre‐tenure respondents regarding the effects of the pandemic on tenure and promotion; (C) gender percentage and level of comfort with institutions using performance indicators (e.g., publications and grants) to determine salary increase in the years following the coronavirus disease 2019 (COVID‐19) pandemic
Association between productivity and independent variables (n = 722)
| Variables | Correlation coefficient |
|
|---|---|---|
| Age | 0.110 | 0.003 |
| Gender | 0.86 | 0.021 |
| Relationship status | 0.039 | |
| Parent status | −0.034 | |
| Education | 0.003 | |
| Work | 0.015 | |
| Career stage | 0.120 | 0.001 |
| Effort | 0.89 | 0.017 |
| Scholarly work | ||
| Writing of manuscripts | 0.316 | |
| Review of manuscripts | 0.205 | <0.0001 |
| Grant writing | 0.196 | <0.0001 |
| Data collection | −0.163 | <0.0001 |
| Supervision of students | −0.113 | 0.002 |
| Conference participation | 0.068 | |
| Research collaborations | 0.173 | <0.0001 |
| Access to scientific information/data | 0.158 | <0.0001 |
| Funding for research engagement of policy makers | 0.023 | |
| Future impact of COVID‐19 on research | −0.186 | <0.0001 |
| Institutional measures to protect the community | 0.011 | |
| Institutional support for faculty during the COVID‐19 crisis | 0.151 | <0.0001 |
| Institutional IT support for the shift to online teaching | 0.091 | 0.015 |
| Changes in tenure clock | −0.13 | |
| Mental health experience | 0.270 | <0.0001 |
| Reasons related with mental health issues | 0.127 | 0.001 |
Abbreviations: COVID‐19, coronavirus disease 2019; IT, information and technology.
Spearman correlation test; p < 0.05 indicates statistical differences; only significant differences reported in the table.
Model of association between productivity and independent variables (n = 722)
| Estimates | Std. error |
| 95% confidence interval | |
|---|---|---|---|---|
| Age | −0.016 | 0.003 | <0.0001 | −0.022, −0.010 |
| Gender | −0.152 | 0.013 | <0.0001 | −0.178, −0.126 |
| Relationship | −0.113 | 0.011 | <0.0001 | −0.135, −0.090 |
| Education | 0.008 | 0.001 | <0.0001 | 0.005, 0.011 |
| Work | −0.043 | 0.006 | <0.0001 | −0.54, −0.032 |
| Career stage | 0.008 | 0.003 | 0.004 | 0.003, 0.014 |
| Mental health experiences | 0.013 | 0.002 | <0.0001 | 0.009, 0.016 |
| Institutional measures to protect the community | −0.025 | 0.012 | 0.034 | −0.049, −0.002 |
| Institutional support for faculty during the COVID‐19 crisis | 0.006 | 0.002 | 0.009 | 0.001, 0.010 |
| Institutional IT support for the shift to online teaching | 0.009 | 0.012 | 0.478 | −0.015, 0.032 |
| COVID‐19 anticipated impact on research | 0.005 | 0.001 | <0.0001 | 0.004, 0.006 |
| Effort | −0.004 | 0.002 | 0.025 | −0.007, 0.0001 |
Abbreviations: COVID‐19, coronavirus disease 2019; IT, information and technology.
Logistic regression; p < 0.05 indicates statistical differences.
FIGURE 3Coronavirus disease 2019 (COVID‐19) and mental health: (A) gender percentage of respondents reporting poor mental health conditions as a consequence of the COVID‐19 pandemic; (B) gender percentage for different reasons associated with poor mental health; (C) self‐reported ability of respondents to handle the challenges imposed by the COVID‐19 pandemic; (D) reported ability of the respondents’ children to handle the challenges imposed by the COVID‐19 pandemic