Interpregnancy intervals and child development at age 5: a population data linkage study

Gursimran Kaur Dhamrait; Catherine Louise Taylor; Gavin Pereira

doi:10.1136/bmjopen-2020-045319

Interpregnancy intervals and child development at age 5: a population data linkage study

BMJ Open. 2021 Mar 23;11(3):e045319. doi: 10.1136/bmjopen-2020-045319.

Authors

Gursimran Kaur Dhamrait^{1

2}, Catherine Louise Taylor^{3

4}, Gavin Pereira^{3

5

6}

Affiliations

¹ Telethon Kids Institute, University of Western Australia, Perth, Western Australia, Australia gursimran.dhamrait@telethonkids.org.au.
² School of Population and Global Health, University of Western Australia, Perth, Western Australia, Australia.
³ Telethon Kids Institute, University of Western Australia, Perth, Western Australia, Australia.
⁴ Centre for Child Health Research, University of Western Australia, Perth, Western Australia, Australia.
⁵ Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia.
⁶ Centre for Fertility and Health (CeFH), Norwegian Institute of Public Health, Oslo, Norway.

Abstract

Objective: To investigate the associations between interpregnancy intervals (IPIs) and developmental vulnerability in children's first year of full-time school (age 5).

Design: Retrospective cohort study using logistic regression. ORs were estimated for associations with IPIs with adjustment for child, parent and community sociodemographic variables.

Setting: Western Australia (WA), 2002-2015.

Participants: 34 574 WA born singletons with a 2009, 2012 or 2015 Australian Early Development Census (AEDC) record.

Main outcome measure: The AEDC measures child development across five domains; Physical Health and Wellbeing, Social Competence, Emotional Maturity, Language and Cognitive Skills (school-based) and Communication Skills and General Knowledge. Children with scores <10th percentile were classified as developmentally vulnerable on, one or more domains (DV1), or two or more domains (DV2).

Results: 22.8% and 11.5% of children were classified as DV1 and DV2, respectively. In the adjusted models (relative to the reference category, IPIs of 18-23 months), IPIs of <6 months were associated with an increased risk of children being classified as DV1 (adjusted OR (aOR) 1.17, 95% CI 1.08 to 1.34), DV2 (aOR 1.31, 95% CI 1.10 to 1.54) and an increased risk of developmental vulnerability for the domains of Physical Health and Wellbeing (aOR 1.25, 95% CI 1.06 to 1.48) and Emotional Maturity (aOR 1.36, 95% CI 1.12 to 1.66). All IPIs longer than the reference category were associated with and increased risk of children being classified as DV1 and DV2 (aOR >1.15). IPIs of 60-119 months and ≥120 months, were associated with an increased risk of developmental vulnerability on each of the five AEDC domains, with greater odds for each domain for the longer IPI category.

Conclusions: IPIs showed independent J-shaped relationships with developmental vulnerability, with short (<6 months) and longer (≥24 months) associated with increased risks of developmental vulnerability.

Keywords: community child health; epidemiology; public health.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Australia
Birth Intervals*
Child Development*
Child, Preschool
Humans
Information Storage and Retrieval
Retrospective Studies
Western Australia / epidemiology