| Literature DB >> 35601746 |
Jennifer C Davis1,2,3, Eric Ping Hung Li1,3, Mary Stewart Butterfield1,3, Gino A DiLabio1,4, Nithi Santhagunam1,3, Barbara Marcolin1,3.
Abstract
The novel coronavirus 2019 (COVID-19) pandemic caused the abrupt curtailment of on-campus research activities that amplified impacts experienced by female and racialized faculty. In this mixed-method study, we systematically and strategically unpack the impact of the shift of academic work environments to remote settings on tenured and tenure-track faculty in Canada. Our quantitative analysis demonstrated that female and racialized faculty experienced higher levels of stress, social isolation and lower well-being. Fewer women faculty felt support for health and wellness. Our qualitative data highlighted substantial gender inequities reported by female faculty such as increased caregiving burden that affected their research productivity. The most pronounced impacts were felt among pre-tenured female faculty. The present study urges university administration to take further action to support female and racialized faculty through substantial organizational change and reform. Given the disproportionate toll that female and racialized faculty experienced, we suggest a novel approach that include three dimensions of change: (1) establishing quantitative metrics to assess and evaluate pandemic-induced impact on research productivity, health and well-being, (2) coordinating collaborative responses with faculty unions across the nation to mitigate systemic inequities, and (3) strategically implementing a storytelling approach to amplify the experiences of marginalized populations such as women or racialized faculty and include those experiences as part of recommendations for change.Entities:
Keywords: COVID‐19; health; research; social; tenured and tenure‐track faculty; university; well‐being
Year: 2022 PMID: 35601746 PMCID: PMC9111281 DOI: 10.1111/gwao.12811
Source DB: PubMed Journal: Gend Work Organ ISSN: 0968-6673
Participant demographics
| Participant characteristics | Total | Females | Males | Minority | Not a minority |
|
|---|---|---|---|---|---|---|
| Age (mean, SD) | 48 (10) | 46 (10) | 50 (11) | 46 (10) | 48 (10) | 0.000 |
| 0.036 | ||||||
| Biological Sex |
|
|
| |||
| Females | 362 (52) | 50 (48) | 311 (53) | N/A | ||
| Males | 314 (45) | 50 (48) | 263 (45) | 0.626 | ||
| Prefer not to say | 20 (3) | 5 (4) | 14 (2) | |||
| Academic position |
|
|
|
|
| |
| Assistant Professor | 205 (29) | 127 (35) | 73 (23) | 45 (43) | 157 (27) | |
| Associate Professor | 217 (31) | 120 (33) | 89 (28) | 30 (29) | 185 (31) | |
| Professor | 213 (30) | 84 (23) | 118 (38) | 21 (20) | 190 (32) | 0.017 |
| Director | 31 (4) | 19 (5) | 12 (4) | 5 (5) | 26 (4) | 0.022 |
| Department Head | 25 (4) | 9 (2) | 14 (4) | 2 (2) | 22 (4) | |
| Dean/Vice Provost/Provost/Vice President | 11 (2) | 2 (1) | 8 (3) | 2 (2) | 8 (1) | |
| Relationship status |
|
|
|
|
| |
| Single | 82 (12) | 52 (14) | 29 (9) | 11 (11) | 70 (12) | |
| Married | 473 (68) | 231 (64) | 227 (73) | 73 (70) | 396 (67) | |
| Divorced | 33 (5) | 15 (4) | 16 (5) | 4 (4) | 29 (5) | 0.255 |
| Widowed | 19 (3) | 12 (3) | 5 (2) | 3 (3) | 16 (3) | 0.948 |
| Common‐law partner | 76 (11) | 45 (12) | 28 (9) | 12 (12) | 64 (11) | |
| Separated | 14 (2) | 6 (2) | 8 (3) | 1 (1) | 13 (2) | |
| Minority status |
|
|
| |||
| Yes | 105 (15) | 50 (14) | 50 (16) | 0.626 | ||
| No | 589 (85) | 311 (86) | 263 (84) | N/A | ||
| Primary caregiver |
|
|
|
|
| |
| Children | 218 (31) | 98 (27) | 115 (37) | 25 (24) | 192 (33) | 0.024 |
| Older Adults | 283 (41) | 182 (50) | 111 (35) | 42 (40) | 242 (41) | 0.134 |
| Children and Older Adults | 2 (0) | 1 (0) | 1 (0) | 0 (0) | 2 (0) | |
| Not a caregiver | 193 (28) | 80 (22) | 87 (28) | 37 (36) | 141 (24) | |
| Children (yes/no) | ||||||
| # of Children (mean, SD) | 1 (1) | 1 (1) | 1 (1) | 1 (1) | 1 (1) |
0.000 0.272 |
| Impact of COVID‐19 on work‐life balance |
|
|
|
|
| 0.001 |
| Yes | 551 (79) | 304 (84) | 226 (72) | 80 (78) | 465 (79) | 0.839 |
| No | 145 (21) | 56 (16) | 86 (28) | 23 (22) | 121 (21) | |
The p‐values represent chi‐square tests, ANOVA, and t‐tests for categorical and continuous variables, respectively between (1) biological sex and (2) minority status.
Health & wellbeing
| Health and wellbeing variables | Total | Female | Males | Minority | Not a minority |
|
|---|---|---|---|---|---|---|
| Stress level | 6 (2) | 7 (2) | 6 (2) | 7 (2) | 6 (2) | 0.000 |
| 0.0024 | ||||||
| Social Isolation | 5 (3) | 5 (3) | 5 (3) | 5 (2) | 5 (3) | 0.690 |
| 0.607 | ||||||
| Tobacco usage |
|
|
|
|
| |
| Never | 555 (80) | 289 (80) | 250 (81) | 87 (84) | 463 (79) | 0.984 |
| Former | 116 (17) | 59 (16) | 50 (16) | 15 (15) | 99 (17) | 0.385 |
| Occasional | 17 (2) | 9 (3) | 6 (2) | 1 (1) | 15 (3) | |
| Frequent | 7 (1) | 3 (1) | 4 (1) | 0 (0) | 7 (1) | |
| Cannabis usage |
|
|
|
|
| |
| Never | 500 (72) | 264 (74) | 219 (71) | 84 (81) | 409 (69) | 0.348 |
| Former | 83 (12) | 41 (11) | 38 (12) | 5 (5) | 78 (13) | 0.060 |
| Occasional | 94 (14) | 47 (13) | 43 (14) | 14 (13) | 79 (13) | |
| Frequent | 15 (2) | 6 (2) | 9 (3) | 1 (1) | 14 (2) | |
| Pandemic related change in cannabis usage |
|
|
|
|
| 0.936 |
| Never a cannabis user | 637 (93) | 329 (93) | 288 (94) | 97 (94) | 535 (93) | 0.042 |
| Decreased | 16 (2) | 10 (3) | 6 (2) | 5 (5) | 11 (2) | |
| Increased | 30 (4) | 16 (5) | 13 (4) | 1 (1) | 28 (5) | |
| Alcohol usage |
|
|
|
|
| |
| Never | 82 (12) | 46 (13) | 31 (10) | 32 (31) | 49 (8) | |
| Former | 7 (1) | 4 (1) | 3 (1) | 1 (1) | 6 (1) | 0.190 |
| Occasional | 287 (41) | 158 (44) | 120 (39) | 44 (42) | 240 (41) | 0.000 |
| Frequent | 232 (33) | 116 (32) | 111 (36) | 17 (16) | 214 (37) | |
| Daily | 87 (13) | 36 (10) | 46 (15) | 10 (10) | 75 (13) | |
| Pandemic related change in alcohol usage |
|
|
|
|
| 0.128 |
| No change | 343 (49) | 175 (49) | 155 (50) | 46 (45) | 293 (50) | 0.000 |
| Decreased | 67 (10) | 28 (8) | 37 (12) | 8 (8) | 58 (10) | |
| Increased | 215 (31) | 120 (33) | 90 (29) | 24 (24) | 189 (32) | |
| Not applicable | 68 (10) | 37 (10) | 27 (9) | 24 (24) | 44 (8) | |
| Physical activity. I exercise: |
|
|
|
|
| |
| Daily | 143 | 67 (19) | 74 (24) | 30 (29) | 111 (19) | 0.219 |
| 5–6 days per week | 171 | 97 (27) | 64 (21) | 25 (24) | 143 (25) | 0.007 |
| 3–4 days per week | 154 | 76 (21) | 75 (24) | 20 (19) | 134 (23) | |
| 1–2 days per week | 166 | 90 (25) | 69 (22) | 14 (13) | 149 (26) | |
| Never | 60 | 28 (8) | 29 (9) | 15 (14) | 45 (8) | |
| Pandemic related change in physical activity |
|
|
|
|
| 0.615 |
| No change | 171 (25) | 84 (18) | 84 (27) | 19 (18) | 152 (26) | 0.222 |
| Decreased | 325 (47) | 170 (47) | 141 (45) | 55 (53) | 265 (45) | |
| Increased | 201 (29) | 106 (29) | 87 (28) | 30 (29) | 168 (29) | |
| ICECAP‐A | 0.760 (0.175) | 0.741 (0.178) | 0.788 (0.166) | 0.731 (0.186) | 0.765 (0.173) | 0.0002 |
| 0.0477 |
The p‐values represent chi‐square tests, ANOVA, and t‐tests for categorical and continuous variables, respectively between (1) biological sex and (2) minority status.
First‐order and second‐order code frequency (Percentages)
| Second order code | First order code | Females (1) | Males (2) | Prefer not to say (3) |
|---|---|---|---|---|
| Percentages (%) | ||||
| A – Research disruption | A1 – Lab/Equipment/Facilities access | 41.9 | 54.8 | 3.2 |
| A2 – Research participant recruitment | 63.0 | 35.2 | 1.9 | |
| A3 – Research progress/Data collection disruption/Changes | 57.9 | 40.3 | 1.9 | |
| A4 – Access to research students/Assistantships | 47.1 | 51.0 | 2.0 | |
| A5 – Research travels | 50.7 | 45.1 | 4.2 | |
| A6 – Access to research funding (granted) | 63.0 | 37.0 | ||
| A7 – Access to funding opportunities (internal) | 71.4 | 28.6 | ||
| A8 – Access to funding opportunities (external) | 75.0 | 25.0 | ||
| A9 – Challenges to publication, change in strategies | 60.7 | 35.7 | 3.6 | |
| A10 – Challenges to research collaborators (academic) | 60.0 | 40.0 | ||
| A11 – Access to collaborators (community/industry) | 51.6 | 45.2 | 3.2 | |
| A12 – Increase research demand | 61.9 | 38.1 | ||
| A13 – No impact | 26.7 | 73.3 | ||
| A14 – Low productivity | 56.0 | 40.7 | 3.3 | |
| A15 – Challenges in communication | 56.0 | 40.0 | 4.0 | |
| A16 – Positive impact | 44.4 | 55.6 | ||
| B – Teaching | B1 – Challenges to online teaching | 63.8 | 34.5 | 1.7 |
| C – Services | C1 – Increase administrative duties | 66.7 | 33.3 | |
| C2 – Additional support to students | 60.5 | 36.8 | 2.6 | |
| D – Health | D1 – Mental health | 67.2 | 32.8 | |
| D2 – Physical health | 62.5 | 37.5 | ||
| D3 – Motivation | 60.0 | 40.0 | ||
| D4 – Other health related issues | 100.0 | |||
| E − Social/Family | E1 – Family challenge (caregiver) | 68.2 | 31.8 | |
| E2 – Social isolation | 37.0 | 55.6 | 7.4 | |
| F – Others | F1 – Irrelevant | 55.6 | 44.4 | |