Predictors of early-onset cancer risk: insights from machine learning analyses of the Christchurch Health and Development Study data

Simranjeet Dahia; Laalithya Konduru; Joseph Boden; Savio Barreto

doi:10.26635/6965.7239

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Predictors of early-onset cancer risk: insights from machine learning analyses of the Christchurch Health and Development Study data

Letter/Communication

Peer reviewed

Predictors of early-onset cancer risk: insights from machine learning analyses of the Christchurch Health and Development Study data

Simranjeet Dahia, Laalithya Konduru, Joseph Boden and Savio Barreto

New Zealand medical journal, Vol.138(1627), pp.138-140

12/12/2025

DOI: https://doi.org/10.26635/6965.7239

Handle:

https://hdl.handle.net/10523/49268

Appears in Christchurch Health and Development Study

Abstract

letter

Christchurch Health and Development Study

early-onset cancers

predictors

lifecourse cohort study

Unlike cancers in older populations, the risk factors for early-onset cancers remain poorly understood. Perinatal and early life stressors have been postulated to modulate the risk of early-onset adult cancers. A prospective lifecourse cohort study provides the ideal framework to study perinatal and early-life stressors.

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Record Identifier: 9926820409001891
Title: Predictors of early-onset cancer risk: insights from machine learning analyses of the Christchurch Health and Development Study data
Creators: Simranjeet Dahia
Laalithya Konduru
Joseph Boden
Savio Barreto
Publication Details: New Zealand medical journal, Vol.138(1627), pp.138-140
Academic Unit: Christchurch Health and Development Study; Psychological Medicine (UOC)
Publisher: Pasifika Medical Association
Grants: The Christchurch health and development study - Birth to 40 years, NZHRC01292, Health Research Council of New Zealand (New Zealand, Auckland) - HRC
Ministry of Business, Innovation and Employment (New Zealand, Wellington) - MBIE
Flinders University (Australia, Adelaide)
Grant note: Flinders Foundation (49358025); National Health and Medical Research Council (2021009); CUREator scheme via Brandon BioCatalyst; The Hospital Research Fund; SALHN Enquiry Grant Round
Date published ; e-published: 12/12/2025
Comment: The published version is not available in full-text in OUR Archive. Where available, a link to the published version is provided (check the DOI and/or the Files and links section). The full-text item may be open access on the publisher's website. An earlier version of the work (such as authors' accepted manuscript following peer-review or unreviewed preprint/author's original version) may be available in the Files and links section of this record. Alternatively, readers may have subscription access to the full-text from the publisher.
Language: English
Resource Type ; Subtype: Letter/Communication