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1.
Dev Psychopathol ; 35(2): 891-898, 2023 05.
Article in English | MEDLINE | ID: mdl-35232525

ABSTRACT

The study aimed to investigate the association between interpregnancy interval (IPI) and parent-reported oppositional defiant disorder (ODD) in offspring at 7 and 10 years of age. We used data from the Avon Longitudinal Study of Parents and Children (ALSPAC), an ongoing population-based longitudinal study based in Bristol, United Kingdom (UK). Data included in the analysis consisted of more than 3200 mothers and their singleton children. The association between IPI and ODD was determined using a series of log-binomial regression analyses. We found that children of mothers with short IPI (<6 months) were 2.4 times as likely to have a diagnosis of ODD at 7 and 10 years compared to mothers with IPI of 18-23 months (RR = 2.45; 95%CI: 1.24-4.81 and RR = 2.40; 95% CI: 1.08-5.33), respectively. We found no evidence of associations between other IPI categories and risk of ODD in offspring in both age groups. Adjustment for a wide range of confounders, including maternal mental health, and comorbid ADHD did not alter the findings. This study suggests that the risk of ODD is higher among children born following short IPI (<6 months). Future large prospective studies are needed to elucidate the mechanisms explaining this association.


Subject(s)
Attention Deficit Disorder with Hyperactivity , Birth Intervals , Child , Female , Humans , Longitudinal Studies , Attention Deficit and Disruptive Behavior Disorders/epidemiology , Mothers , Comorbidity , Attention Deficit Disorder with Hyperactivity/diagnosis
2.
BMJ Open ; 11(3): e045319, 2021 03 23.
Article in English | MEDLINE | ID: mdl-33757954

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.


Subject(s)
Birth Intervals , Child Development , Australia , Child, Preschool , Humans , Information Storage and Retrieval , Retrospective Studies , Western Australia/epidemiology
3.
BMJ Open ; 10(10): e038846, 2020 10 16.
Article in English | MEDLINE | ID: mdl-33067288

ABSTRACT

OBJECTIVE: To investigate the prevalence of, and associations between, prenatal and perinatal risk factors and developmental vulnerability in twins at age 5. DESIGN: Retrospective cohort study using bivariate and multivariable logistic regression. SETTING: Western Australia (WA), 2002-2015. PARTICIPANTS: 828 twin pairs born in WA with an Australian Early Development Census (AEDC) record from 2009, 2012 or 2015. MAIN OUTCOME MEASURES: The AEDC is a national measure of child development across five domains. Children with scores <10th percentile were classified as developmentally vulnerable on, one or more domains (DV1), or two or more domains (DV2). RESULTS: In this population, 26.0% twins were classified as DV1 and 13.5% as DV2. In the multivariable model, risk factors for DV1 were maternal age <25 years (adjusted OR (aOR): 7.06, 95% CI: 2.29 to 21.76), child speaking a language other than English at home (aOR: 6.45, 95% CI: 2.17 to 19.17), male child (aOR: 5.08, 95% CI: 2.89 to 8.92), age younger than the reference category for the study sample (≥5 years 1 month to <5 years 10 months) at time of AEDC completion (aOR: 3.34, 95% CI: 1.55 to 7.22) and having a proportion of optimal birth weight (POBW) <15th percentile of the study sample (aOR: 2.06, 95% CI 1.07 to 3.98). Risk factors for DV2 were male child (aOR: 7.87, 95% CI: 3.45 to 17.97), maternal age <25 (aOR: 5.60, 95% CI: 1.30 to 24.10), age younger than the reference category (aOR: 5.36, 95% CI: 1.94 to 14.82), child speaking a language other than English at home (aOR: 4.65, 95% CI: 1.14 to 19.03), mother's marital status as not married at the time of twins' birth (aOR: 4.59, 95% CI: 1.13 to 18.55), maternal occupation status in the lowest quintile (aOR: 3.30, 95% CI: 1.11 to 9.81) and a POBW <15th percentile (aOR: 3.11, 95% CI: 1.26 to 7.64). CONCLUSION: Both biological and sociodemographic risk factors are associated with developmental vulnerability in twins at 5 years of age.


Subject(s)
Child Development , Information Storage and Retrieval , Adult , Australia/epidemiology , Child , Child, Preschool , Female , Humans , Male , Pregnancy , Retrospective Studies , Western Australia/epidemiology
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