| Literature DB >> 33532520 |
Laura M Glynn1, Elysia Poggi Davis2,3, Joan L Luby4, Tallie Z Baram5,6,7, Curt A Sandman3.
Abstract
OBJECTIVE: Information about the adverse effects of the COVID-19 pandemic on adolescent and adult mental health is growing, yet the impacts on preschool children are only emerging. Importantly, environmental factors that augment or protect from the multidimensional and stressful influences of the pandemic on emotional development of young children are poorly understood.Entities:
Keywords: Child psychopathology; Conduct disorders; Depression; Early life adversity; Family routines; Pandemic; Resilience; Stress; Trauma
Year: 2021 PMID: 33532520 PMCID: PMC7823041 DOI: 10.1016/j.ynstr.2020.100291
Source DB: PubMed Journal: Neurobiol Stress ISSN: 2352-2895
Family characteristics.
| n (%), Mean (SD), or Median | |
|---|---|
| 38 (22.5) | |
| 71 (42.0) | |
| 27 (16.0) | |
| 33 (19.5) | |
| 77 (45.6) | |
| 55 (32.5) | |
| 18 (10.7) | |
| 12 (7.1) | |
| 60 (40.3) | |
| 40 (26.8) | |
| 25 (16.7) | |
| 24 (16.1) | |
| 81 (47.9) | |
| 54 (32.0) | |
| 19 (11.2) | |
| 10 (5.9) | |
| 140 (83.3) | |
| 60,000 | |
| 165 (97.6) | |
| 50 (29.6) | |
| 139 (82.2) | |
| 53 (31.4) | |
| 85 (50.3) | |
| 18 (10.7) | |
| 39 (23.1) | |
| 2 (1.2) | |
| 17 (10.1) | |
| 4 (2.4) | |
| 2 (1.2) | |
| 1 (0.6) | |
| 6 (3.6) | |
| 1 (0.6) | |
| 4.1 (0.93) | |
| 79 (46.7) | |
| 80 (47.3) | |
| 32 (18.9) | |
| 94 (44.4) | |
| 21 (12.4) | |
| 64 (37.9) | |
This includes those on leave with pay; Quarantine due to suspected exposure and/or symptoms; Due to either suspected or confirmed case.
Associations between child mental health, demographic and household characteristics.
| Mean (SD) | 1. | 2. | 3. | 4. | 5. | 6. | 7. | 8. | 9. | 10. | 11. | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2.47 (2.3) | – | |||||||||||
| 3.7 (2.2) | .40** | – | ||||||||||
| 14.6 (3.2) | -.27** | -.19* | – | |||||||||
| 4.1 (.9) | .05 | .04 | -.12 | – | ||||||||
| – | -.01 | .07 | -.04 | -.07 | – | |||||||
| – | -.16* | .01 | .18* | -.18* | .06 | – | ||||||
| 95,739 (105,567) | .02 | -.09 | .12 | -.16* | -.18* | .25* | – | |||||
| .76 (1.4) | .21* | .15¥ | -.28** | .20* | .09 | -.19* | -.27** | – | ||||
| – | -.03 | .01 | .04 | .01 | .01 | .10 | .19* | -.16* | – | |||
| – | .03 | .05 | -.10 | .04 | -.01 | .10 | -.17* | .13 | -.30* | – | ||
| 2.0 (2.4) | .40** | .34** | -.20* | .04 | .02 | -.03 | .04 | .22** | .01 | .09 | – | |
| 15.9 (6.7) | .43** | .40** | -.23** | .05 | .08 | .02 | -.03 | .29** | -.04 | .08 | .71** |
Child sex coded male = 0, female = 1; Dual parent, Essential worker and Furlough/Layoff coded 1 = yes, 0 = no; **p < .01, *p < .05, ¥p < .01.
Fig. 1Conduct problems during the COVID-19 pandemic among preschoolers are elevated (1A), however, family routines appear to offset these adverse consequences (1B). Note: The item by item data presented in 1B are presented for illustrative purposes only. Regression analyses were conducted with summary scores.
Linear regressions testing associations between family routines and child mental health.
| Child Depressive Symptoms | Child Externalizing Symptoms | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Model 1a | Model 1b | Model 1c | Model 2a | Model 2b | Model 2c | |||||||||||||
| -.16 | .06 | -.22** | -.12 | .05 | -.17* | -.11 | .05 | -.15* | -.12 | .06 | -.18** | -.09 | .05 | -.13¥ | -.08 | .05 | -.11 | |
| Child Agerowhead | -.02 | .19 | -.01 | -.04 | .18 | -.02 | -.02 | .18 | -.01 | .06 | .19 | .03 | .05 | .18 | .02 | .06 | .17 | .03 |
| .07 | .34 | .02 | -.01 | .33 | -.00 | -.09 | .33 | -.02 | .21 | .35 | .05 | .17 | .33 | .04 | .12 | .33 | .03 | |
| -.71 | .49 | -.12 | -.73 | .46 | -.12 | -.91 | .45 | -.15* | .47 | .48 | .08 | .46 | .46 | .08 | .28 | .45 | .05 | |
| .00 | .00 | .13 | .00 | .00 | .09 | .00 | .00 | .10 | .00 | .00 | -.05 | .00 | .00 | -.09 | .00 | .00 | -.07 | |
| .27 | .13 | .17* | .15 | .13 | .09 | .10 | .13 | .06 | .16 | .13 | .10 | .06 | .13 | .04 | .00 | .13 | .00 | |
| – | – | – | .32 | .07 | .34** | – | – | – | – | – | – | .29 | .07 | .32** | – | – | – | |
| – | – | – | – | – | – | .13 | .03 | .38** | – | – | – | – | – | – | .82 | .17 | .37** | |
**p < .01, *p < .05.
Binary logistic regressions predicting increases in child externalizing behaviors.
| Model 1a | Model 1b | Model 1c | Model 1d | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Exp(B) | 95% CI | Wald | Exp(B) | 95% CI | Wald | Exp(B) | 95% CI | Wald | Exp(B) | 95% CI | Wald | |
| .85* | 0.75–.96 | 6.43 | .86* | 0.72–0.98 | 5.24 | .86* | 0.75–.98 | 5.06 | .86* | 0.74–0.99 | 4.38 | |
| 1.03 | 0.71–1.48 | 0.02 | 1.04 | 0.71–1.51 | 0.03 | 1.04 | 0.71–1.52 | 0.04 | 1.06 | 0.70–1.59 | 0.07 | |
| 1.25 | 0.64–2.45 | 0.42 | 1.24 | 0.62–2.45 | 0.37 | 1.18 | 0.59–2.35 | 0.22 | 1.14 | 0.54–2.43 | 0.12 | |
| 1.14 | 0.44 | 0.72 | 1.20 | 0.45–3.12 | 0.13 | 1.06 | 0.40–2.81 | 0.02 | .87 | 0.29–2.55 | 0.18 | |
| 1.0 | 1.0–1.0 | 0.28 | 1.0 | 1.00–1.00 | 0.70 | 1.0 | 1.0–1.0 | .43 | 1.0 | 1.0–1.0 | 0.18 | |
| .94 | 0.73–1.21 | 0.23 | .88 | 0.67–1.15 | 0.94 | .86 | 0.66–1.12 | 1.23 | .86 | 0.64–1.16 | 0.98 | |
| – | – | – | 1.21* | 1.02–1.45 | 5.01 | – | – | – | – | – | – | |
| – | – | – | – | – | – | 1.07* | 1.01–1.13 | 5.73 | – | – | – | |
| – | – | – | – | – | – | – | – | – | 1.68** | 1.37–2.06 | 25.78 | |
**p < .01, *p < .05.