| Literature DB >> 35262825 |
Elisa M Trucco1,2,3, Nilofar Fallah-Sohy4,5, Sarah A Hartmann4,5, Julie V Cristello4,5, Jonathan S Comer4,5, Matthew T Sutherland4,5.
Abstract
Given the salience of socialization factors on adolescence and their role in vulnerability to disasters and trauma, this study examined whether COVID-19-associated fears and impacted quality of life mediated associations between pandemic-focused family conversations and media exposure and subsequent youth mental health. A primarily Latinx sample of adolescents (N = 167; Mage = 16.2 years, 44.9% female) participated in a longitudinal (summer 2020-winter 2020) COVID-19 study. COVID-19 media exposure predicted engagement in relevant safety behaviors, which negatively impacted quality of life, which in turn predicted increased internalizing problems. COVID-19 family conversations predicted social distancing fears, which negatively impacted quality of life, which then in turn also predicted increased internalizing problems. Targeting key socialization factors may minimize negative consequences following major community trauma among adolescents.Entities:
Keywords: COVID-19; Family conversations; Media exposure; Mental health; Quality of life
Mesh:
Year: 2022 PMID: 35262825 PMCID: PMC8905569 DOI: 10.1007/s10964-022-01593-6
Source DB: PubMed Journal: J Youth Adolesc ISSN: 0047-2891
Fig. 1Conceptual serial mediation model. T0 = Time 0 (summer 2020), T1 = Time 1 (fall 2020), T2 = Time 2 (winter 2020)
Descriptive statistics and bivariate correlations
| Mean | SD | Range | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1. Biological sex (0 = female) | 0.45 | – | 0–1 | 0.05 | −0.01 | 0.15 | −0.18* | −0.03 | −0.16 | −0.07 | −0.20* | −0.12 | −0.11 | −0.06 |
| 2. Internalizing symptoms | 55.04 | 9.60 | 30–92 | – | −0.01 | 0.01 | −0.06 | 0.13 | 0.17 | 0.25* | 0.22* | 0.15 | 0.24* | −0.02 |
| 3. C-19 Conversations (T0) | 2.48 | 0.76 | 0–4 | – | −0.00 | −0.05 | 0.05 | 0.20 | 0.18 | 0.16 | 0.12 | 0.12 | 0.04 | |
| 4. C-19 Media Exp. (T0) | 3.04 | 2.17 | 0.5–8 | – | 0.34*** | 0.14 | 0.20 | 0.12 | 0.04 | −0.08 | 0.09 | 0.09 | ||
| 5. C-19 Behaviors (T1) | 1.59 | 0.59 | 0.5–3 | – | 0.18* | 0.23* | 0.26** | 0.09 | −0.11 | 0.05 | −0.08 | |||
| 6. C-19 Angst (T1) | 1.93 | 0.70 | 1–4 | – | 0.45*** | 0.38*** | 0.07 | 0.11 | 0.03 | 0.04 | ||||
| 7. C-19 Social Dist. (T1) | 1.80 | 0.57 | 1–3.4 | – | 0.57*** | 0.25* | 0.16 | 0.31** | 0.08 | |||||
| 8. C-19 Impact (T1) | 1.74 | 0.87 | 1–4 | – | 0.43*** | 0.26** | 0.38*** | 0.01 | ||||||
| 9. Stress (T2) | 4.35 | 3.73 | 0–18 | – | 0.73*** | 0.75*** | 0.11 | |||||||
| 10. Depression Symp. (T2) | 4.40 | 4.20 | 0–17 | – | 0.66*** | 0.18* | ||||||||
| 11. Anxiety Symp. (T2) | 2.56 | 2.98 | 0–17 | – | 0.11 | |||||||||
| 12. Substance Use (T2) | 0.23 | 0.60 | 0–3 | – |
Note: n = 167; C-19 COVID-19; Exp. exposure; Dist. distancing; Symp symptoms
*p < 0.05. **p < 0.01. ***p < 0.001 (two-tailed)
Fig. 2Estimated serial mediation model. Values represent standardized path coefficients. Only significant paths are presented. Covariates and covariances were estimated but not depicted. Model fit: χ2 = (18, N = 167) = 26.36, p = 0.09, RMSEA = 0.05, CFI = 0.98, SRMR = 0.03. *p < 0.05. ***p < 0.001
Path estimates and covariances for serial mediation model
| Standardized regression coefficients | B (SE) | |
|---|---|---|
| Internalizing problems | ||
| → COVID-19 Quality of life impact | 0.42 (0.11) | 0.000 |
| → COVID-19 Angst | −0.083 (0.141) | 0.555 |
| → COVID-19 Social distancing | 0.006 (0.136) | 0.963 |
| → COVID-19 Behaviors | −0.158 (0.128) | 0.217 |
| → COVID-19 Media exposure | 0.088 (0.135) | 0.512 |
| → COVID-19 Conversations | 0.098 (0.084) | 0.243 |
| → Biological sex | −0.219 (0.087) | 0.012 |
| → Pre-pandemic internalizing symptoms | 0.173 (0.121) | 0.154 |
| COVID-19 Angst | ||
| → COVID-19 Media exposure | 0.153 (0.107) | 0.155 |
| → COVID-19 conversations | 0.047 (0.087) | 0.591 |
| → Biological sex | −0.044 (0.097) | 0.651 |
| → Pre-pandemic internalizing symptoms | 0.127 (0.107) | 0.234 |
| COVID-19 Social distancing | ||
| → COVID-19 media exposure | 0.22 (0.114) | 0.054 |
| → COVID-19 conversations | 0.186 (0.087) | 0.034 |
| → Biological sex | −0.173 (0.09) | 0.054 |
| → Pre-Pandemic internalizing symptoms | 0.167 (0.097) | 0.087 |
| COVID-19 behaviors | ||
| → COVID-19 media exposure | 0.35 (0.107) | 0.001 |
| → COVID-19 conversations | −0.039 (0.085) | 0.649 |
| → Biological sex | −0.205 (0.09) | 0.022 |
| → Pre-pandemic internalizing symptoms | −0.029 (0.1) | 0.775 |
| COVID-19 Quality of life impact | ||
| → COVID-19 Media exposure | −0.034 (0.09) | 0.704 |
| → COVID-19 Conversations | 0.083 (0.088) | 0.346 |
| → COVID-19 Angst | 0.128 (0.085) | 0.129 |
| → COVID-19 Social distancing | 0.438 (0.093) | 0.000 |
| → COVID-19 Behaviors | 0.169 (0.075) | 0.024 |
| → Biological sex | 0.048 (0.08) | 0.544 |
| → Pre-pandemic internalizing symptoms | 0.159 (0.087) | 0.068 |
| Substance use | ||
| → COVID-19 quality of life impact | −0.046 (0.132) | 0.729 |
| → COVID-19 angst | 0.05 (0.176) | 0.778 |
| → COVID-19 social distancing | 0.071 (0.145) | 0.627 |
| → COVID-19 behaviors | −0.194 (0.126) | 0.124 |
| → COVID-19 media exposure | 0.146 (0.127) | 0.248 |
| → COVID-19 conversations | 0.029 (0.089) | 0.740 |
| → Biological sex | −0.093 (0.091) | 0.308 |
| → Pre-pandemic internalizing symptoms | −0.033 (0.094) | 0.725 |
| Covariances | ||
| Substance use | ||
|
| 0.149 (0.118) | 0.206 |
| COVID-19 media exposure | ||
|
| 0.007 (0.111) | 0.950 |
|
| 0.143 (0.087) | 0.100 |
|
| 0.014 (0.099) | 0.884 |
| COVID-19 conversations | ||
|
| −0.006 (0.092) | 0.948 |
|
| −0.017 (0.091) | 0.853 |
| COVID-19 angst | ||
|
| 0.421 (0.095) | 0.000 |
|
| 0.139 (0.103) | 0.174 |
| COVID-19 social distancing | ||
|
| 0.158 (0.094) | 0.093 |
| Pre-pandemic internalizing symptoms | ||
|
| 0.064 (0.093) | 0.491 |