Evidence map›Paper›PMID 25263237›Full record

ArticleAnnals of epidemiology2014

A prospective study of maternal prenatal weight and offspring cardiometabolic health in midchildhood.

Wei Perng, Matthew W Gillman, Christos S Mantzoros, Emily Oken

Abstract read
In one paragraph

Article in Annals of epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 4 pooled it
19.2field-weighted citation impact, top 1% 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

69 citing papers in PubMed, 4 syntheses or guidelines pooled it, 121 citations in OpenAlex.

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  5. Trial
  6. Pre-pregnancy parental BMI and offspring blood pressure in infancy.European journal of preventive cardiology · 2019
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9 more citing papers are in PubMed but not listed here.

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

4 authors at 3 institutions in 1 country.

Wei PerngObesity Prevention Program, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA. Electronic address: Wei_Perng@harvardpilgrim.org.
Matthew W GillmanObesity Prevention Program, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA; Department of Nutrition, Harvard School of Public Health, Boston, MA.
Christos S MantzorosDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
Emily OkenObesity Prevention Program, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA; Department of Nutrition, Harvard School of Public Health, Boston, MA.
Harvard Pilgrim Health Care · USBeth Israel Deaconess Medical Center · USHarvard University · US

Funding

Prenatal environmental determinants of health in young adulthood: a lifecourse approachR01HD034568 · NICHD · HARVARD PILGRIM HEALTH CARE, INC. · PI Marie-France Hivert, Emily Oken · 1998 to 2026
$20.6M
Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
Pre- and Peri-natal Predictors of Childhood ObesityR37HD034568 · NICHD · HARVARD PILGRIM HEALTH CARE, INC. · PI GILLMAN, MATTHEW W · 2012 to 2015
$4.5M
Patient-oriented Research in Maternal Perinatal Overnutrition and Child AdiposityK24HD069408 · NICHD · HARVARD PILGRIM HEALTH CARE, INC. · PI OKEN, EMILY · 2011 to 2015
$844k
NICHD NIH HHS K24 HD069408NICHD NIH HHS R01 HD034568NICHD NIH HHS R37 HD034568NIDDK NIH HHS P30 DK092924PHS HHS R37 034568
6 · The paper itself

Abstract

purposeTo examine the relations of maternal prepregnancy body mass index (ppBMI) and gestational weight gain (GWG) with offspring cardiometabolic health.

designWe studied 1090 mother-child pairs in Project Viva, a Boston-area prebirth cohort. We measured overall (dual x-ray absorptiometry total fat; body mass index z-score) and central adiposity (dual x-ray absorptiometry trunk fat), and systolic blood pressure in offspring at 6 to 10 years. Fasting bloods (n = 687) were assayed for insulin and glucose (for calculation of homeostatic model assessment of insulin resistance), triglycerides, leptin, adiponectin, high sensitivity C-reactive protein, and interleukin 6. Using multivariable linear regression, we examined differences in offspring outcomes per 1 SD maternal ppBMI and GWG.

resultsAfter adjustment for confounders, each 5 kg/m² higher ppBMI corresponded with 0.92 kg (95% confidence interval, 0.70-1.14) higher total fat, 0.27 BMI z-score (0.21-0.32), and 0.39 kg (0.29-0.49) trunk fat. ppBMI was also positively associated with homeostatic model assessment of insulin resistance, leptin, high sensitivity C-reactive protein, interleukin 6, and systolic blood pressure; and lower adiponectin. Each 5 kg of GWG predicted greater adiposity (0.33 kg [0.11-0.54] total fat; 0.14 kg [0.04-0.23] trunk fat) and higher leptin (6% [0%-13%]) in offspring after accounting for confounders and ppBMI.

conclusionsChildren born to heavier mothers have more overall and central fat and greater cardiometabolic risk. Offspring of women with higher GWG had greater adiposity and higher leptin.

Indexed as

Body WeightMothersAdiponectinAdolescentAdultBirth WeightBlood GlucoseBlood PressureBody Mass IndexBody Weights and MeasuresBostonCardiovascular DiseasesChildC-Reactive ProteinFemaleHealth BehaviorAdiponectinBlood GlucoseC-Reactive ProteinLeptinTriglyceridesAdiposityCardiometabolic healthChildhood obesityDual x-ray absorptiometryGestational weight gainLean massPrenatal

Identifiers

PMID25263237
PMCPMC4254266
OpenAlexW2081439881

What OpenQuestion holds

Textmetadata
LicenceTDM
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.