{
  "abstract": "Background The first 1000 days of life are a crucial foundational period during which many different factors can impact development. It is unknown to what extent different factors cluster and how this affects later-life outcomes.Methods In this population-based cohort study, we used registry data of all children born in the Netherlands in 2006. We used latent class analysis to investigate clustering of circumstances in the first 1000 days of life, including socioeconomic indicators (household income, parental education), prenatal and perinatal biomedical factors (maternal age, late-start antenatal care, preterm birth/born small for gestational age/poor start in life), and adverse childhood experiences in the first 1000 days (parental death, separation, mental health problems and detention) and associated clusters with school performance (ie, highest secondary school level advice at age 12).Results In the study population of 181 575 children, we identified five clusters. We labelled cluster 1 (39%) and cluster 2 (27%) as ‘resource-richest’, clusters 3 (15%) and 4 (15%) as ‘intermediate’, and cluster 5 (5%) as ‘resource-poorest’, with the latter having the highest probabilities of low socioeconomic resources, adverse prenatal and perinatal biomedical factors and adverse childhood experiences in the first 1000 days. Compared with those in the resource-richest cluster (cluster 2), children in the resource-poorest cluster (cluster 5) had poorer school performance (OR 0.13, 95% CI 0.11 to 0.14), also after adjustment for parental education and household income (OR 0.20, 95% CI 0.18 to 0.24).Conclusions Clustering of risk factors across different domains during the first 1000 days of life was associated with poorer school performance at age 12, suggesting that children growing up in resource-limited environments during this critical developmental window may face challenges in reaching their full developmental and educational potential. If we find similar associations with health-related outcomes, this would further underscore the importance of policies that strengthen resources across multiple domains early in life to support long-term human potential.",
  "authors": [
    {
      "affiliations": [
        "Department of Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands",
        "Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands",
        "Ageing & Later Life, Health Behaviours and Chronic Diseases, Amsterdam Public Health, Amsterdam, The Netherlands",
        "Statistics Netherlands, The Hague, The Netherlands"
      ],
      "name": "Malon Van den Hof"
    },
    {
      "affiliations": [
        "Statistics Netherlands, The Hague, The Netherlands"
      ],
      "name": "Ilona Veer"
    },
    {
      "affiliations": [
        "Statistics Netherlands, The Hague, The Netherlands",
        "Faculty of Social and Behavioural Sciences (Sociology), University of Amsterdam, Amsterdam, The Netherlands"
      ],
      "name": "Ruben van Gaalen"
    },
    {
      "affiliations": [
        "Department of Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands",
        "Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands",
        "Ageing & Later Life, Health Behaviours and Chronic Diseases, Amsterdam Public Health, Amsterdam, The Netherlands",
        "Department of Obstetrics and Gynaecology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands"
      ],
      "name": "Tessa Roseboom"
    }
  ],
  "title": "Clustering of circumstances during the first 1000 days after conception and their association with school performance: a population-based cohort study from the Netherlands",
  "uid": "dc3354cd-04b8-5f4f-9438-6bc7677c7252"
}