| Literature DB >> 31619420 |
Kaushalya Jayaweera1, Jeffrey M Craig2, Helena M S Zavos3, Nihal Abeysinghe1, Sunil De Alwis4, Alina Andras5, Lasith Dissanayake1, Krysia Dziedzic6, Buddhika Fernando1,5, Nick Glozier7, Asiri Hewamalage4, Jonathan Ives8, Kelvin P Jordan9, Godwin Kodituwakku1, Christian Mallen10, Omar Rahman11, Shamsa Zafar12, Alka Saxena13, Fruhling Rijsdijk14, Richard Saffery15,16, Emily Simonoff17, Rita Yusuf18, Athula Sumathipala19,5.
Abstract
INTRODUCTION: Worldwide, 10%-20% of children and adolescents experience mental health conditions. However, most such disorders remain undiagnosed until adolescence or adulthood. Little is known about the factors that influence mental health in children and adolescents, especially in low and middle-income countries (LMIC), where environmental threats, such as poverty and war, may affect optimal neurodevelopment. Cohort studies provide important information on risks and resilience across the life course by enabling tracking of the effects of early life environment on health during childhood and beyond. Large birth cohort studies, including twin cohorts that can be aetiologically informative, have been conducted within high-income countries but are not generalisable to LMIC. There are limited longitudinal birth cohort studies in LMIC.Entities:
Keywords: Low and Middle Income Countries (LMIC); South Asia; Sri Lanka; cohort; infant child and adolescents; mental health; twins
Mesh:
Year: 2019 PMID: 31619420 PMCID: PMC6797400 DOI: 10.1136/bmjopen-2019-029332
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Potential data to be collected in future projects
| Data from hospitals |
Expected date of delivery and actual date delivered Medical and obstetrics related data (maternal complications) Ultrasound scan data Method of delivery (normal/instrumental/section) Placentation/zygosity Neonatal complications Birth weight/length/head circumference/Apgar score Weight gain Mile stones Breast feeding Bonding Sociodemographic data Type of conception (normal/IVF) Mood (happiness/sadness) Maternal nutrition-related data Maternal mental health data Postnatal complications Willingness to give consent for biospecimens of the infant |
| Data from primary healthcare workers in the field. | Birth weight/length/head circumference/Apgar score Weight trends over the years Immunisation history Healthcare/illness history including developmental delays Data through questionnaires for: Mental health of child Cognition of child Nutrition related Maternal and paternal data as mentioned above Qualitative interviews from twin’s parents: Including beliefs, attitudes and issues about twins Challenges in rearing twins Financial implications compared with singletons |
| Data from schools |
Entry behaviour assessment at Grade 1 Academic attainments indicated through school reports Records of competency development of children during the primary cycle. If the twins are in the same school or class Engagement with peers Mental health of child |
IVF, in vitro fertilisation.