Dataset Information

Immediate and longer-term changes in mental health of children with parent-child separation experiences during the COVID-19 pandemic.

ABSTRACT:

Background

The psychological impact of the COVID-19 pandemic has been understudied among vulnerable populations. This study aimed to examine the immediate and longer-term changes in the mental health of children with parent-child separation experiences during the COVID-19 pandemic, and identify potential buffering opportunities for mental health.

Methods

This longitudinal cohort study used data from 723 rural Chinese children who provided data before (Oct. 2019) the COVID-19 pandemic and during the following 2 years. Changes in the probability of depressive symptoms, anxiety symptoms, non-suicide self-injurious (NSSI), suicidal ideation, suicide plan, and suicide attempt were tested across four waves using generalized estimating models (GEE).

Results

Compared with children who never experienced parent-child separation, children persistently separated from parents since birth experienced greater deterioration in all mental health in the 2-year follow-up (average change: depressive symptoms: β = 0.59, 95% CI [0.26, 0.93]; anxiety symptoms: β = 0.45, 95% CI [0.10, 0.81]; NSSI: β = 0.66, 95% CI [0.31, 1.01]; suicide ideation: β = 0.67, 95% CI [0.38, 0.96]; suicide plan: β = 0.77, 95% CI [0.38, 1.15]; suicide attempt: β = 1.12, 95% CI [0.63, 1.62]). However, children with childhood separation from their parents but reunited with them during the transition to adolescence showed similar even lower changes to counterparts who never experienced parent-child separation (all ps > 0.05).

Conclusion

These results indicating improvements in supportiveness of the caregiving environment during the transition to adolescence may provide the opportunity to buffer the adverse impact of COVID-19 on mental health. Translating such knowledge to inform intervention and prevention strategies for youths exposed to adversity is a critical goal for the field.

SUBMITTER: Wu P

PROVIDER: S-EPMC10552287 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Immediate and longer-term changes in mental health of children with parent-child separation experiences during the COVID-19 pandemic.

Wu Peipei P Wang Shihong S Zhao Xudong X Fang Jiao J Tao Fangbiao F Su Puyu P Wan Yuhui Y Sun Ying Y

Child and adolescent psychiatry and mental health 20231004 1

<h4>Background</h4>The psychological impact of the COVID-19 pandemic has been understudied among vulnerable populations. This study aimed to examine the immediate and longer-term changes in the mental health of children with parent-child separation experiences during the COVID-19 pandemic, and identify potential buffering opportunities for mental health.<h4>Methods</h4>This longitudinal cohort study used data from 723 rural Chinese children who provided data before (Oct. 2019) the COVID-19 pande ...[more]

PMID: 37794411

Similar Datasets

Project description:ImportanceDespite the emphasis placed on the psychological impact of the COVID-19 pandemic, evidence from representative studies of older adults including pre-COVID-19 data and repeated assessments during the pandemic is scarce.ObjectiveTo examine changes in mental health and well-being before and during the initial and later phases of the COVID-19 pandemic and test whether patterns varied with sociodemographic characteristics in a representative sample of older adults living in England.Design, setting, and participantsThis longitudinal cohort study analyzed data from 5146 older adults participating in the English Longitudinal Study of Ageing who provided data before the COVID-19 pandemic (2018 and 2019) and at 2 occasions in 2020 (June or July as well as November or December).ExposuresThe COVID-19 pandemic and sociodemographic characteristics, including sex, age, partnership status, and socioeconomic position.Main outcomes and measuresChanges in depression (8-item Centre for Epidemiological Studies Depression scale), anxiety (7-item Generalized Anxiety Disorder scale), quality of life (12-item Control, Autonomy, Self-realization, and Pleasure scale), and loneliness (3-item Revised University of California, Los Angeles, loneliness scale) were tested before and during the COVID-19 pandemic using fixed-effects regression models.ResultsOf 5146 included participants, 2723 (52.9%) were women, 4773 (92.8%) were White, and the mean (SD) age was 67.7 (10.6) years. The prevalence of clinically significant depressive symptoms increased from 12.5% (95% CI, 11.5-13.4) before the COVID-19 pandemic to 22.6% (95% CI, 21.6-23.6) in June and July 2020, with a further rise to 28.5% (95% CI, 27.6-29.5) in November and December 2020. This was accompanied by increased loneliness and deterioration in quality of life. The prevalence of anxiety rose from 9.4% (95% CI, 8.8-9.9) to 10.9% (95% CI, 10.3-11.5) from June and July 2020 to November and December 2020. Women and nonpartnered people experienced worse changes in mental health. Participants with less wealth had the lowest levels of mental health before and during the COVID-19 pandemic. Higher socioeconomic groups had better mental health overall but responded to the COVID-19 pandemic with more negative changes.Conclusions and relevanceIn this longitudinal cohort study of older adults living in England, mental health and well-being continued to worsen as the COVID-19 pandemic progressed, and socioeconomic inequalities persisted. Women and nonpartnered people experienced greater deterioration in mental health.

Project description:BackgroundThe COVID-19 pandemic has significantly changed the lives of children and adolescents, forcing them into periods of prolonged social isolation and time away from school. Understanding the psychological consequences of the UK's lockdown for children and adolescents, the associated risk factors, and how trajectories may vary for children and adolescents in different circumstances is essential so that the most vulnerable children and adolescents can be identified, and appropriate support can be implemented.MethodsParticipants were a convenience sample of parents and carers (n = 2,988) in the UK with children and adolescents aged between 4 and 16 years who completed an online survey about their child's mental health. Growth curve analysis was used to examine the changes in conduct problems, hyperactivity/inattention, and emotional symptoms between the end of March/beginning of April and July using data from monthly assessments over four months. Additionally, growth mixture modelling identified mental health trajectories for conduct problems, hyperactivity/inattention, and emotional symptoms separately, and subsequent regression models were used to estimate predictors of mental health trajectory membership.ResultsOverall levels of hyperactivity and conduct problems increased over time, whereas emotional symptoms remained relatively stable, though declined somewhat between June and July. Change over time varied according to child age, the presence of siblings, and with Special Educational Needs (SEN)/Neurodevelopmental Disorders (ND). Subsequent growth mixture modelling identified three, four, and five trajectories for hyperactivity/inattention, conduct problems, and emotional symptoms, respectively. Though many children maintained 'stable low' symptoms, others experienced elevated symptoms by July. These children were more likely to have a parent/carer with higher levels of psychological distress, to have SEN/ND, or to be younger in age.ConclusionsThe findings support previous literature and highlight that certain risk factors were associated with poorer mental health trajectories for children and adolescents during the pandemic.

Dataset Information

Immediate and longer-term changes in mental health of children with parent-child separation experiences during the COVID-19 pandemic.

Background

Methods

Results

Conclusion

Publications

Immediate and longer-term changes in mental health of children with parent-child separation experiences during the COVID-19 pandemic.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets