Evidence map›Paper›PMID 17715174›Full record

ArticleInternational journal of epidemiology2007

How should gestational weight gain be assessed? A comparison of existing methods and a novel method, area under the weight gain curve.

Ken P Kleinman, Emily Oken, Jenny S Radesky, Janet W Rich-Edwards, Karen E Peterson, Matthew W Gillman

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in International journal of epidemiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 8% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Maternal obesity in Africa: a systematic review and meta-analysis.Journal of public health (Oxford, England) · 2016
    Pooled it
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  18. Journal of the American Association for Laboratory Animal Science : JAALAS · 2017
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Ken P KleinmanObesity Prevention Program, Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, MA 02215, USA. Ken_Kleinman@hms.harvard.edu
Emily Oken
Jenny S Radesky
Janet W Rich-Edwards
Karen E Peterson
Matthew W Gillman
Harvard University · US

Funding

ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI ALEXANDER A SOUKAS · 1994 to 2026
$31.6M
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
NUTRITION IN PREGNANCY, BIRTH WEIGHT, &CHILDHOOD ASTHMAR01HL064925 · NHLBI · HARVARD PILGRIM HEALTH CARE, INC. · PI GILLMAN, MATTHEW W · 2000 to 2010
$7.5M
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 early life origins of CVDK24HL068041 · NHLBI · HARVARD PILGRIM HEALTH CARE, INC. · PI GILLMAN, MATTHEW W · 2001 to 2010
$1.4M
NHLBI NIH HHS HL64925NHLBI NIH HHS HL68041NHLBI NIH HHS K24 HL068041NHLBI NIH HHS R01 HL064925NICHD NIH HHS HD34568NICHD NIH HHS R01 HD034568NICHD NIH HHS R37 HD034568NIDDK NIH HHS P30 DK040561
6 · The paper itself

Abstract

backgroundGestational weight gain is important to assess for epidemiological and public health purposes: it is correlated with infant growth and may be related to maternal outcomes such as reproductive health and chronic disease risk. Methods commonly used to assess weight gain incorporate assumptions that are usually not borne out, such as a linear weight gain, or do not account for differential length of gestation.

methodsWe introduce a novel method to assess gestational weight gain, the area under the weight gain curve. This is easily interpretable as the additional pound-days carried due to pregnancy and avoids many flaws in alternative assessments. We compare the performance of the simple difference, weekly gain, Institute of Medicine categories and the area under the weight gain curve in predicting birthweight and maternal weight retention at 6, 12, 24 and 36 months postpartum. The analytic sample comprises 2016 participants in Project Viva, an observational prospective cohort study of pregnant women in Massachusetts.

resultsFor birthweight outcomes, none of the weight gain measures is a meaningfully superior predictor. For 6-month postpartum weight retention the simple difference is superior, while for 12-, 24- and 36-month weight retention the area under the weight gain curve is superior.

conclusionsThese findings are plausible biologically: the same amount of weight gained early vs later in the pregnancy may reflect increased maternal fat stores. The timing of weight gain is reflected best in the area under the weight gain curve. Different methods of measuring gestational weight gain may be appropriate depending on the context.

Indexed as

Weight GainAdultArea Under CurveBirth WeightBody Mass IndexEducational StatusEthnicityFemaleHumansInfant, NewbornPostpartum PeriodPregnancyPregnancy Trimesters

Identifiers

PMID17715174
PMCPMC2157551
OpenAlexW2131568686

What OpenQuestion holds

Textmetadata
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.