Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
[Preprint]. 2021 Apr 23:rs.3.rs-444161.
doi: 10.21203/rs.3.rs-444161/v1.

Resilience to COVID-19: Socioeconomic Disadvantage Associated With Higher Positive Parent-youth Communication and Youth Disease-prevention Behavior

Affiliations

Resilience to COVID-19: Socioeconomic Disadvantage Associated With Higher Positive Parent-youth Communication and Youth Disease-prevention Behavior

Andrew Marshall et al. Res Sq. .

Update in

Abstract

Socioeconomic disadvantage is associated with larger COVID-19 disease burdens and pandemic-related economic impacts. We utilized the longitudinal Adolescent Brain Cognitive Development Study to understand how family- and neighborhood-level socioeconomic disadvantage relate to disease burden, family communication, and preventative responses to the pandemic in over 6,000 youth-parent/caregiver dyads. Data were collected at three timepoints (May to August 2020). Here, we show that both family- and neighborhood-level disadvantage were associated with parents’ reports of greater family COVID-19 exposure risk and diagnoses, less perceived exposure risk, more frequent parent-youth conversations about COVID-19 risk/prevention and reassurance, and greater youth preventative behaviors. More disadvantaged families may be adaptively incorporating more protective strategies to reduce emotional distress and likelihood of COVID-19 infection. The results highlight the importance of parent-youth communication and disease-preventative practices for buffering the economic and disease burdens of COVID-19, along with policies and programs that reduce these burdens for families with socioeconomic disadvantage.

PubMed Disclaimer

Figures

Figure 1
Figure 1
COVID-19 exposure and within-family diagnoses as functions of annual household income and their home census tract’s area deprivation index. Parent-reported data are shown for whether individuals in participants’ households were at an increased risk given job type or public-transit use (A, B) and the number of participants’ immediate family members who had been diagnosed with COVID-19 (C, D). Error bars represent ±1 between-subjects standard error of the means. Analyses controlled for caregiver/parental education, caregiver/parent race, caregiver/parent ethnicity, and participants’ baseline study site. Given multiple observations, the job/transit risk analysis also controlled for questionnaire number and participant. Area deprivation index was collapsed across continuous deciles for graphing. Dep. = Deprived.
Figure 2
Figure 2
Parents’ perceived risk of their (or someone close to them) getting and being hospitalized/dying from COVID-19 as functions of (A) annual household income and (B) their home census tract’s area deprivation index. With respect to questionnaire item wording, “Self” refers to “I”, and “Other” refers to “someone very close to me”. Error bars represent ±1 between-subjects standard error of the means. Analyses controlled for caregiver/parental education, caregiver/parent race, caregiver/parent ethnicity, questionnaire number, participants’ baseline study site, and participant. Area deprivation index was collapsed across continuous deciles for graphing. Dep. = Deprived.
Figure 3
Figure 3
Parental and youth worry levels about COVID-19. (A, B) Worry levels as functions of annual household income and area deprivation index. Error bars represent ±1 between-subjects standard error of the means. Analyses of parental worry controlled for caregiver/parental education, caregiver/parent race, caregiver/parent ethnicity, questionnaire number, participants’ baseline study site, and participant ID. Analyses of youth worry controlled for caregiver/parental education, child race, child ethnicity, child sex, child age, questionnaire number, participants’ baseline study site, and participant. Area deprivation index was collapsed across continuous deciles for graphing. (C) Youths’ worry levels by parents’ worry levels. (D) Youths’ worry levels by parent-reported youth worry levels about the health- and non-health-related consequences of the COVID-19 pandemic. (C, D) The size of the circles reflects the number of datapoints at each x-y coordinate. The solid lines are best fitting simple regression lines. Dep. = Deprived. Strong. Dis. = Strongly Disagree. Dis. = Disagree. Agr. = Agree. Strong. Agr. = Strongly Agree.
Figure 4
Figure 4
Parent participants’ communication frequency with youth on factors related to COVID-19 risk and prevention as functions of annual household income and their home census tract’s area deprivation index. Error bars represent ±1 between-subjects standard error of the means. Analyses controlled for caregiver/parental education, caregiver/parent race, caregiver/parent ethnicity, child sex, child age, questionnaire number, participants’ baseline study site, and participant, except for “Wearing Masks”, the analysis for which did not include questionnaire number or participant ID due to its only having one timepoint. Area deprivation index was collapsed across continuous deciles for graphing. Dep. = Deprived.
Figure 5
Figure 5
Parental support and transparency as functions of annual household income and their home census tract’s area deprivation index. Error bars represent ±1 between-subjects standard error of the means. Analyses controlled for caregiver/parental education, caregiver/parent race, caregiver/parent ethnicity, child sex, child age, questionnaire number, participants’ baseline study site, and participant. Parental “reassurance” refers to how much parents agreed with, “I have told my child that everything will be okay.” Parental encouragement refers to how much parents agreed with, “I have encouraged my child not to focus on coronavirus or its impacts on people and the world.” “Own Feelings” refers to how much parents agreed with “I discussed with my child my own feelings about coronavirus and its impact on people and the world.” “Avoid Talking” refers to how much parents agreed with, “I have avoided talking to my child about coronavirus.” “Not Fully Safe” refers to how much parents agreed with, “I have expressed concern to my child that they might not be fully safe from coronavirus.” “Life Changes” refers to how much parents agree with, “I have prepared my child for our lives to change significantly.” Area deprivation index was collapsed across continuous deciles for graphing. Dep. = Deprived.
Figure 6
Figure 6
COVID-19 risk and prevention as functions of COVID-19-related worry in parents and youth. (A,B) Average (Avg.) frequency that youth endorsed engaging in COVID-19-related preventative behaviors as functions of annual household income and area deprivation index. Error bars represent ±1 between-subjects standard error of the means. Analysis controlled for caregiver/parental education, child race, child ethnicity, child sex, child age, questionnaire number, participants’ baseline study site, and participant. Area deprivation index was collapsed across continuous deciles for graphing. (C) Frequency of youths’ preventative behaviors by parent-youth communication frequency on risk/prevention, which are the averaged data from Figure 4. (D) Frequency of youths’ preventative behaviors by youth COVID-19-related worry. (E) Frequency of parent-child communication on risk/prevention by parent COVID-19-related worry. (C-E) The size of the circles reflects the number of datapoints at each x-y coordinate. The solid lines are best fitting simple regression lines.

References

    1. Bambra C., Riordan R., Ford J. & Matthews F. The COVID-19 pandemic and health inequalities. Journal of Epidemiology & Community Health 74, 964–968, doi:10.1136/jech-2020-214401 (2020). - DOI - PMC - PubMed
    1. Chen J. T. & Krieger N. Revealing the unequal burden of COVID-19 by income, race/ethnicity, and household crowding: US county versus zip code analyses. Journal of Public Health Management and Practice 27, S43–S56(14), doi:10.1097/PHH.0000000000001263 (2021). - DOI - PubMed
    1. Whittle R. S. & Diaz-Artiles A. An ecological study of socioeconomic predictors in detection of COVID-19 cases across neighborhoods in New York City. BMC Medicine 18, 271, doi:10.1186/s12916-020-01731-6 (2020). - DOI - PMC - PubMed
    1. Karmakar M., Lantz P. M. & Tipirneni R. Association of social and demographic factors with COVID-19 incidence and death rates in the US. JAMA Network Open 4, e2036462, doi:10.1001/jamanetworkopen.2020.36462 (2021). - DOI - PMC - PubMed
    1. Karaye I. M. & Horney J. A. The impact of social vulnerability on COVID-19 in the U.S.: An analysis of spatially varying relationships. American Journal of Preventive Medicine 59, 317–325, doi:10.1016/j.amepre.2020.06.006 (2020). - DOI - PMC - PubMed

Publication types

LinkOut - more resources