Evidence map›Paper›PMID 32133595›Full record

ArticleDemography2020

Fertility History and Biomarkers Using Prospective Data: Evidence From the 1958 National Child Development Study.

Maria Sironi, George B Ploubidis, Emily M Grundy

Abstract read
In one paragraph

Article in Demography, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Less Is (Often) More: Number of Children and Health Among Older Adults in 24 Countries.The journals of gerontology. Series B, Psychological sciences and social sciences · 2023
    Article
  3. Article
  4. Article
  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Maria SironiDepartment of Social Science, University College London, 55-59 Gordon Square, London, WC1H 0NU, United Kingdom. m.sironi@ucl.ac.uk.
George B PloubidisDepartment of Social Science, University College London, 55-59 Gordon Square, London, WC1H 0NU, United Kingdom.
Emily M GrundyInstitute for Social & Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex, CO4 3SQ, United Kingdom.

Funding

Medical Research Council MR/P023444/1
6 · The paper itself

Abstract

Research on the later-life health implications of fertility history has predominantly considered associations with mortality or self-reported indicators of health. Most of this previous research has either not been able to account for selection factors related to both early-life and later-life health or has had to rely on retrospectively reported accounts of childhood circumstances. Using the 1958 National Child Development Study, and in particular the biomedical survey conducted in 2002-2003, we investigate associations between fertility histories (number of children and age at first and at last birth) and biomarkers for cardiometabolic risk and respiratory function in midlife among both men and women. Results from models that adjusted for a very wide range of childhood factors, including early-life socioeconomic position, cognitive ability, and mental health, showed weak associations between parity and biomarkers. However, we found an inverse association between age at first birth and biomarkers indicative of worse cardiometabolic health, with poorer outcomes for those with very young ages at entry to parenthood and increasingly better outcomes for those becoming parents at older ages. A very young age at last birth was also associated with less favorable biomarker levels, especially among women. Results highlight the value of prospectively collected data and the availability of biomarkers in studies of life course determinants of health in midlife and later.

Indexed as

Health StatusParityAdolescentAdultAge FactorsBiomarkersBlood PressureCardiovascular DiseasesChildChild DevelopmentChild, PreschoolCognitionDiabetes MellitusFemaleGlycated HemoglobinHeart Disease Risk FactorsBiomarkersGlycated HemoglobinLipidsAge at childbearingBiomarkersFertilityHealthParity

Identifiers

PMID32133595
PMCPMC7162827

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.