Mental health impacts of the COVID-19 pandemic on children and adolescents with chronic health conditions
Crowe, L.; Clarke, C.; Hearps, S.; Pugh, R.; Kilpatrick, N.; Branson, E.; Payne, J.; Haebich, K.; McCloughan, N.; Kintakas, C.; Charles, G.; Trajanovska, M.; Hsieh, I.; Hartmann, P.; King, S.; Anderson, N.; Anderson, V.
Show abstract
ObjectiveTo investigate the changes in mental health and activities of children with chronic health conditions (CHC) during the pandemic. Additionally, to gather information from parents about their childrens healthcare experience, family stressors and mental health during the COVID-19 pandemic. DesignA prospective longitudinal single site cohort study SettingRoyal Childrens Hospital, Melbourne, Australia Participants151 parents of children aged 1.5-17 years (M = 9.8 years, 58.3% male) with a CHC (colorectal disorder, cleft palate and neurofibromatosis type 1) completed the survey. Main outcome measuresAn adapted version of the COVID-19 Wellbeing and Mental Health Survey for Children and Adolescents (Parent/Caregiver version) (CRISIS) was utilised. The CRISIS tool provides data on childs activities and mental health and parent mental health prior to, and during, the COVID-19 pandemic. Healthcare experiences families was also examined. Parents completed the Kessler 10. ResultsCompared to pre-COVID lockdown, parents reported their children were experiencing higher rates of loneliness, irritability, worry and anxiety. Parents reported that the restrictions in face-to-face contact with family and friends had been stressful for 80.0% of children. Childrens activities changed considerably during the COVID-19 pandemic with screen time increasing by 40%. Thirty percent of parents reported significant distress of their own. Parents felt telehealth were of poorer quality than face-to-face appointments. ConclusionsChildren with CHC experienced a significant increase in mental health symptoms during lockdown for the COVID-19 pandemic. Our findings highlight the increased need for clinical monitoring for children with CHC during periods of community stress and restrictions.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Factors influencing wellbeing in young people during COVID-19: A survey with 6291 young people in Wales 95%
- “The impact of the Little Orange Book on how parents/carers manage symptoms of illness in children: A mixed methods study” 95%
- How a year of pandemic and related public health measures impacted youth and young adults and the foundations they build upon: Qualitative interviews in Ontario Canada 95%
Similar papers in this journal
- Psychological, social and financial impact of COVID-19 on culturally and linguistically diverse communities: a cross-sectional Australian study 95%
- Common Factors in Serious Case Reviews of Child Maltreatment where there is a Medical Cause of Death: Qualitative Thematic Analysis 94%
- Have the COVID-19 Pandemic and Lockdown Affected Children’s Mental Health in the Long Term? A Repeated Cross-Sectional Study 94%
Similar papers in this journal
- Healthcare workers’ mental health and wellbeing during the COVID-19 pandemic: Longitudinal analysis of interview and social media data 92%
- Social networking service, patient-generated health data, and population health informatics: patterns and implications for using digital technologies to support mental health 92%
- Remote working in mental health services: a rapid umbrella review of pre-COVID-19 literature 92%
Similar papers in this journal
- Priorities for Future Research about Screen Use and Adolescent Mental Health: A Participatory Prioritization Study 93%
- Business as Un-usual: Access to mental health and primary care services for people with severe mental illness during the COVID-19 restrictions 92%
- Mental and social health of children and adolescents with pre-existing mental or somatic problems during the COVID-19 pandemic lockdown 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.