B4391 - Resilience development and child health outcomes - 24/08/2023

B number: 
B4391
Principal applicant name: 
Rosa Wong | The Education University of Hong Kong
Co-applicants: 
Dr Frederick Ho, Dr Patrick Ip, Dr Keith Tung
Title of project: 
Resilience development and child health outcomes
Proposal summary: 

Resilience is known to be the process and outcome of successfully adapting to difficult or challenging life experiences. Promoting resilience is helpful to minimizing the detrimental impact of life stressors which may be unavoidable at times. While interventions aiming to enhance resilience are increasing among different age groups, there remains gaps in our understanding of how and when resilience manifest, as well as the role of negative and positive emotions in this process. This project aims to use intergenerational data from ALSPAC to investigate predictors of the trajectories of resilient behavior, and connections between maternal resilience and offspring resilience from the prenatal stages through childhood years. This includes identifying time and environmental predictors that can be useful in designing future interventions to assist individuals who are at risk in coping with stress and difficult situations.

Impact of research: 
The proposed study aims to generate new knowledge about the connection between maternal mental health and offspring development. It will make a significant contribution to academic and policy debates about individual vulnerability to psychopathology because of their genetic susceptibility, family medical history, and other person-specific factors during pregnancy and in early life. This will increase recognition of the immediate and long-term impacts that mental health problems before and during pregnancy can have on the development of offspring's abilities to overcome difficulties, as well as the various environmental factors after birth that can either worsen or promote the child's developmental adaptation.
Date proposal received: 
Tuesday, 15 August, 2023
Date proposal approved: 
Thursday, 24 August, 2023
Keywords: 
Social Science, Behaviour - e.g. antisocial behaviour, risk behaviour, etc., Statistical methods, Development