| Literature DB >> 33747597 |
Chatchai Ekpanyaskul1, Chantana Padungtod2.
Abstract
BACKGROUND: Social distancing by working-from-home is an effective measure to decrease the spread of COVID-19. However, this new work pattern could also affect the well-being of workers. Therefore, the aim of the study was to study the magnitude of occupational health problems and lifestyle changes among workers who have only recently started working from home.Entities:
Keywords: Lifestyle; Psychosocial problem; Weight gain; Work-related health; Working condition
Year: 2021 PMID: 33747597 PMCID: PMC7954240 DOI: 10.1016/j.shaw.2021.01.010
Source DB: PubMed Journal: Saf Health Work ISSN: 2093-7911
The demographic data and the working-from-home characteristics of the study participants who had recently started working from home (n = 869)
| Characteristics | n (%) | Characteristics | n (%) |
|---|---|---|---|
| Male | 252 (29.0) | Single house | 407 (46.8) |
| Female | 617 (71.0) | Townhouse, commercial building | 219 (25.2) |
| Condominium | 140 (16.1) | ||
| <30 | 149 (17.2) | Apartment, flat | 103 (11.9) |
| 30–40 | 328 (37.7) | ||
| 41–50 | 251 (28.9) | Common room | 448 (51.5) |
| >50 | 141 (16.2) | Working room | 79 (9.1) |
| Bedroom | 277 (31.9) | ||
| Less than a bachelor's degree | 24 (2.8) | Dining room, kitchen, others | 65 (7.5) |
| Bachelor's degree | 404 (46.5) | ||
| Higher than a bachelor's degree | 441 (50.7) | The same as office hours | 464 (53.4) |
| Different from office hours | 405 (46.6) | ||
| Single | 508 (58.5) | ||
| Married or living together | 329 (37.8) | Regular breaks | 146 (16.8) |
| Divorced or widowed | 32 (3.7) | At their convenience | 493 (56.7) |
| After work | 230 (26.5) | ||
| Government | 496 (57.1) | ||
| Private sector | 331 (38.1) | Yes | 712 (81.9) |
| State enterprise | 42 (4.8) | No | 157 (18.1) |
| Operation level | 556 (64.0) | Yes | 540 (62.1) |
| Head of unit, department | 195 (22.4) | No | 329 (37.9) |
| Administrator | 118 (13.6) | ||
| Desktop computer | 120 (13.8) | ||
| Clerk, administrator, service, marketing | 199 (22.9) | Notebook | 673 (77.5) |
| Academic, professional | 317 (36.5) | I-pad, mobile phone, others | 76 (8.7) |
| IT work, programmer, graphic designer | 123 (14.2) | ||
| Finance, accounting, procurement | 79 (9.1) | Yes | 514 (59.1) |
| Human resources | 62 (7.1) | No | 355 (40.9) |
| Administrative work | 89 (10.2) | ||
| Yes | 78 (9.0) | ||
| <10 | 477 (54.9) | No | 791 (91.0) |
| 10–20 | 231 (26.6) | ||
| >20 | 161 (18.5) | ||
| 5–6 | 390 (44.9) | ||
| With family of more than one generation | 419 (48.2) | 4 | 130 (15.0) |
| With couple and/or child | 243 (27.9) | 3 | 166 (19.1) |
| With others and no child | 30 (3.5) | 2 | 135 (15.5) |
| Living alone | 177 (20.4) | 1 | 48 (5.5) |
SD, standard deviation.
The frequency of physical and psychosocial health effect occurrence patterns, a prevalence rate with a 95% confidence interval (CI), and trend comparisons on working-from-home intensity
| Health effects (n = 869) | Frequency of the occurrence pattern | Overall prevalence rate (95% CI) | |||
|---|---|---|---|---|---|
| New onset during work from home | Aggravated during work from home | Total | |||
| Body weight changes | |||||
| Weight gain | — | — | 356 | 40.97% (37.69–44.24) | 0.013 |
| Weight loss | — | — | 123 | 14.15% (11.83–16.48) | 0.001 |
| Musculoskeletal problems | |||||
| Back pain | 170 | 145 | 315 | 36.25% (33.05 - 39.45) | 0.016 |
| Neck and shoulder pain | 178 | 177 | 355 | 40.85% (37.58 - 44.13) | 0.001 |
| Upper extremity pain | 133 | 114 | 247 | 28.42% (25.42 - 31.43) | 0.058 |
| Indoor environmental problems | |||||
| Eye symptoms | 134 | 111 | 245 | 28.19% (25.20–31.19) | 0.035 |
| Nose symptoms | 17 | 20 | 37 | 4.26% (2.91–5.60) | 0.889 |
| Throat symptoms | 49 | 27 | 76 | 8.75% (6.86–10.63) | 0.152 |
| Skin symptoms | 64 | 42 | 106 | 12.20% (10.02–14.38) | 0.261 |
| Respiratory symptoms | 21 | 20 | 41 | 4.72% (3.31–6.13) | 0.544 |
| General neurological symptoms | 119 | 65 | 184 | 21.17% (18.45–23.90) | 0.015 |
| Other health problems | |||||
| Migraine headache | 66 | 64 | 130 | 14.96% (12.58–17.34) | 0.918 |
| Allergic symptoms | 40 | 52 | 92 | 10.59% (8.54–12.64) | 0.394 |
| Insomnia | 118 | 65 | 183 | 21.06% (18.34–23.77) | 0.750 |
| Abdominal pain | 29 | 23 | 52 | 5.98% (4.40–7.56) | 0.404 |
| Cystitis | 25 | 16 | 41 | 4.72% (3.31–6.13) | 0.538 |
| Presenteeism | 50 | 32 | 82 | 9.44% (7.49–11.38) | 0.290 |
| Cabin fever | 122 | — | 122 | 31.28% (26.66–35.90) | — |
| Isolation | 136 | 17 | 153 | 17.61% (15.07–20.14) | 0.016 |
| Anxiety from work | 138 | 53 | 191 | 21.98% (19.22–24.74) | 0.563 |
| Loss of concentration | 115 | 30 | 145 | 16.69% (14.20–19.17) | 0.692 |
| Depression | 93 | 33 | 126 | 14.50% (12.15–16.85) | 0.001 |
| Work exhaustion | 90 | 64 | 154 | 17.72% (15.18 - 20.27) | 0.015 |
| Burnout | 93 | 62 | 155 | 17.84% (15.29–20.39) | 0.026 |
| Family conflict | 39 | 20 | 59 | 6.79% (5.11–8.47) | 0.765 |
| Ambiguity between work and daily life | 173 | 60 | 233 | 26.81% (23.86–29.76) | 0.115 |
These variables are present in total numbers owing to difficulty differentiating between new-onset and the aggravated pattern.
Cabin fever analyses only included full-time workers who were working from home.
Fig. 1Changing lifestyle patterns while working from home compared with regular work in a conventional workplace and trend comparisons on work-from-home intensity.