| Literature DB >> 35937711 |
Toru Nakai1, Toshinaga Tsuji1, Hiroshi Tsuda2,3,4,5, Takuma Sotodate5, Yuki Namba1, Tatsuhiro Uenishi6, Katsuhiko Iwasaki6, Kinya Kokubo7,8, Hiroaki Tomita9.
Abstract
Purpose: This study aims to evaluate the impact of the COVID-19 pandemic on employment status, work productivity, quality of life (QOL), and depressive symptoms in undiagnosed adults with and without attention-deficit/hyperactivity disorder (ADHD) symptoms in Japan.Entities:
Keywords: ADHD symptoms; ASRS; COVID-19; Japan; absenteeism; depression; presenteeism; quality of life; work productivity; working from home
Year: 2022 PMID: 35937711 PMCID: PMC9346305 DOI: 10.2147/NDT.S358085
Source DB: PubMed Journal: Neuropsychiatr Dis Treat ISSN: 1176-6328 Impact factor: 2.989
Figure 1Grouping of survey participants for statistical analyses. Among those with ADHD symptoms, 45 participants were in neither regular nor non-regular work; among those without ADHD symptoms, 42 participants were in neither regular nor non-regular work.
Baseline Demographic Data and Work Characteristics
| Variable | With ADHD Symptoms (N=949) | Without ADHD Symptoms (N=942) | Overall (N=1891) | p value (χ2 Test) |
|---|---|---|---|---|
| Male, n (%) | 672 (70.8) | 674 (71.5) | 1346 (71.2) | 0.761 |
| Age, years, mean (SD) | 46.8 (10.7) | 46.6 (10.3) | 46.7 (10.5) | 0.562a |
| Marital status, n (%) | ||||
| Never been married | 327 (34.5) | 370 (39.3) | 697 (36.9) | 0.034 |
| Have been marriedb | 622 (65.5) | 572 (60.7) | 1194 (63.1) | |
| Highest education level reached, n (%) | ||||
| Pre-universityc | 374 (39.4) | 426 (45.2) | 800 (42.3) | 0.012 |
| University graduated | 575 (60.6) | 516 (54.8) | 1091 (57.7) | |
| Annual income, million yen, n (%) | n=850 | n=800 | n=1650 | |
| <1 | 86 (10.1) | 62 (7.8) | 148 (9.0) | 0.117 |
| 1–4 | 412 (48.5) | 395 (49.4) | 807 (48.9) | |
| 4–10 | 298 (35.1) | 273 (34.1) | 571 (34.6) | |
| ≥10 | 54 (6.4) | 70 (8.8) | 124 (7.5) | |
| Engaged in permanent work | n=904 | n=900 | n=1804 | |
| Current work style, n (%) | ||||
| Discretionary worke | 555 (61.4) | 614 (68.2) | 1169 (64.8) | 0.003 |
| Non-discretionary work | 349 (38.6) | 286 (31.8) | 635 (35.2) | |
| Number of days worked per week, mean (SD) | 4.93 (0.87) | 4.95 (0.76) | 4.94 (0.81) | 0.701a |
| Number of days WFH per week, mean (SD) | 1.15 (1.83) | 1.20 (1.90) | 1.18 (1.87) | 0.948a |
Notes: ap value from Wilcoxon rank sum test. bIncludes widowed and divorced. cIncludes graduates of junior high school, high school, college of technology, vocational school, and junior college. dIncludes university graduates and those who have completed graduate school. eDiscretionary work was defined as work with minimal direct instruction from a manager/boss.
Abbreviations: ADHD, attention-deficit/hyperactivity disorder; SD, standard deviation; WFH, working from home.
Work Situation During the COVID-19 Pandemic
| With ADHD Symptoms | Without ADHD Symptoms | Overall | p value (χ2 Test) | |
|---|---|---|---|---|
| Employment status, n (%) | n=949 | n=942 | N=1891 | |
| Employed | 938 (98.8) | 926 (98.3) | 1864 (98.6) | 0.427 |
| Unemployed | 11 (1.2) | 16 (1.7) | 27 (1.4) | |
| Current work situation, n (%) | n=949 | n=942 | N=1891 | |
| Usual working hours (including WFH) | 788 (83.0) | 818 (86.8) | 1606 (84.9) | 0.039 |
| Reduction of working days/working hours | 116 (12.2) | 82 (8.7) | 198 (10.5) | |
| Furlougheda | 34 (3.6) | 26 (2.8) | 60 (3.2) | |
| Unemployed | 11 (1.2) | 16 (1.7) | 27 (1.4) | |
| Total unemployed, furloughed, or with reduced hours, n (%) | n=161 | n=124 | N=285 | |
| Work situation has changed due to COVID-19 | 122 (75.8) | 87 (70.2) | 209 (73.3) | 0.354 |
| Changed or transferred job since December 2019, n (%) | n=938 | n=926 | N=1864 | |
| No change | 808 (86.1) | 848 (91.6) | 1656 (88.8) | <0.001 |
| Transferb | 70 (7.5) | 43 (4.6) | 113 (6.1) | |
| Changed job/employer | 60 (6.4) | 35 (3.8) | 95 (5.1) | |
| Total job/employer changes and transfers, n (%) | n=130 | n=78 | N=208 | |
| Job change or transfer was due to COVID-19 | 46 (35.4) | 21 (26.9) | 67 (32.2) | 0.267 |
Notes: aLiterally “waiting at home” (measures associated with closure of businesses). bAny transfer within the same company/employer. This could include transfer to a different office/location or transfer to a different department at the same location.
Abbreviations: ADHD, attention-deficit/hyperactivity disorder; WFH, working from home.
Figure 2Depressive symptoms (PHQ-9 scores), work productivity (WPAI scores), and QOL (EQ-5D-5L index scores) in adults with and without ADHD symptoms. (A) Depressive symptoms during the COVID-19 pandemic. (B) Productivity and QOL before and during the COVID-19 pandemic. (C) Change in productivity and QOL between surveys. Values shown are mean ± SD.
Figure 3Work productivity (WPAI scores) and QOL (EQ-5D-5L index scores) in adults with and without ADHD symptoms, stratified by employment type (regular or non-regular work). (A) Productivity and QOL before and during the COVID-19 pandemic; p<0.001 for all comparisons between participants with and without ADHD symptoms, except absenteeism during the pandemic in non-regular employment, for which p=0.023. (B) Change in productivity and QOL between surveys. Values shown are mean ± SD.