Evidence map›Paper›PMID 27538482›Full record

ArticleBMC public health2016

The early life nutritional environment and early life stress as potential pathways towards the metabolic syndrome in mid-life? A lifecourse analysis using the 1958 British Birth cohort.

C Delpierre, R Fantin, C Barboza-Solis, B Lepage, M Darnaudéry, M Kelly-Irving

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 4 pooled it
7.2field-weighted citation impact, top 4% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 4 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Dimensions of early life adversity and cardiometabolic health in adulthood: A systematic review and meta-analysis.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2026
    Pooled it
  2. Pooled it
  3. Cumulative childhood adversity and adult cardiometabolic disease: A meta-analysis.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2018
    Pooled it
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  8. Child Maltreatment and Metabolic Syndrome: A Systematic Review.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
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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

6 authors at 4 institutions in 2 countries.

C DelpierreINSERM, UMR1027, Toulouse, F-31000, France. cyrille.delpierre@inserm.fr.
R FantinINSERM, UMR1027, Toulouse, F-31000, France.
C Barboza-SolisINSERM, UMR1027, Toulouse, F-31000, France.
B LepageINSERM, UMR1027, Toulouse, F-31000, France.
M DarnaudéryUniversité Bordeaux, Laboratoire NUTRINEURO, UMR 1286, F-33076, Bordeaux, France.
M Kelly-IrvingINSERM, UMR1027, Toulouse, F-31000, France.
Inserm · FRUniversité Toulouse III - Paul Sabatier · FRCentre Hospitalier Universitaire de Toulouse · FRNutriNeuro · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLifecourse studies suggest that the metabolic syndrome (MetS) may be rooted in the early life environment. This study aims to examine the pathways linking early nutritional and psychosocial exposures and the presence of MetS in midlife.

methodsData are from the National Child Development Study including individuals born during 1 week in 1958 in Great Britain and followed-up until now. MetS was defined based on the National Cholesterol Education Program Adult Treatment Panel III classification. Mother's pre-pregnancy body mass index (BMI) was used as a proxy of the early nutritional environment and Adverse Childhood Experiences (ACE) as a proxy for early psychosocial stress. Socioeconomic characteristics, pregnancy and birth conditions were extracted as potential confounders. Adult health behaviors, BMI, socioeconomic environment and psychological state were considered as mediating variables. Multivariate models were performed by including variables sequentially taking a lifecourse approach.

results37.5 % of men and 19.8 % of women had MetS. Participants with an obese/overweight mother presented a higher risk of MetS than those whose mother had a normal pre-pregnancy BMI. Men exposed to two ACE or more, and women exposed to one ACE, were more at risk of MetS compared to unexposed individuals. After including confounders and mediators, mother's pre-pregnancy BMI was still associated with MetS in midlife but the association was weakened after including participant's adult BMI. ACE was no longer associated with MetS after including confounders in models.

conclusionsThe early nutritional environment, represented by mother's pre-pregnancy BMI, was associated with the risk of MetS in midlife. An important mechanism involves a mother-to-child BMI transmission, independent of birth or perinatal conditions, socioeconomic characteristics and health behaviors over the lifecourse. However this mechanism is not sufficient for explaining the influence of mother's pre-pregnancy BMI which implies the need to further explore other mechanisms in particular the role of genetics and early nutritional environment. ACE is not independently associated with MetS. However, other early life stressful events such as emergency caesarean deliveries and poor socioeconomic status during childhood may contribute as determinants of MetS.

Indexed as

Maternal Nutritional Physiological PhenomenaBody Mass IndexCesarean SectionChildEnvironmentFemaleFollow-Up StudiesHumansLife Change EventsMaleMental DisordersMetabolic SyndromeMiddle AgedMothersObesityOverweightCohort studiesEarly nutritional exposureEarly psychosocial exposuresLifecourseMetabolic syndromeSocial epidemiology

Identifiers

PMID27538482
PMCPMC4989336
OpenAlexW2510257197

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.