Evidence map›Paper›PMID 28752260›Full record

ArticleArchives of women's mental health2017

Correlates of early pregnancy serum brain-derived neurotrophic factor in a Peruvian population.

Na Yang, Elizabeth Levey, Bizu Gelaye, Qiu-Yue Zhong, Marta B Rondon, Sixto E Sanchez, Michelle A Williams

Abstract read
In one paragraph

Article in Archives of women's mental health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 43% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Time-dependent association between prenatal hair glucocorticoid levels and child behavior problems.Journal of child psychology and psychiatry, and allied disciplines · 2026
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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

7 authors at 4 institutions in 3 countries.

Na YangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, K505F, Boston, MA, 02115, USA.
Elizabeth LeveyDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Bizu GelayeDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, K505F, Boston, MA, 02115, USA. bgelaye@hsph.harvard.edu.
Qiu-Yue ZhongDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, K505F, Boston, MA, 02115, USA.
Marta B RondonDepartment of Medicine, Cayetano Heredia Peruvian University, Lima, Peru.
Sixto E SanchezUniversidad de Ciencias Aplicadas, Lima, Peru.
Michelle A WilliamsDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, K505F, Boston, MA, 02115, USA.
Harvard University · USAsociación Civil Impacta Salud y Educación · PEMassachusetts General Hospital · USUniversidad Peruana Cayetano Heredia · PE

Funding

University of Washington MHIRT Training Program GrantT37MD001449 · NIMHD · UNIVERSITY OF WASHINGTON · PI WILLIAMS, MICHELLE A. · 2005 to 2018
$3.5M
A Cohort Study of Preterm Delivery in Relation to Partner Abuse, Mood and AnxietyR01HD059835 · NICHD · UNIVERSITY OF WASHINGTON · PI WILLIAMS, MICHELLE A. · 2010 to 2014
$2.8M
NICHD NIH HHS R01 HD059835NIH HHS R01-HD-059835NIMHD NIH HHS T37 MD001449
6 · The paper itself

Abstract

Knowledge about factors that influence serum brain-derived neurotrophic factor (BDNF) concentrations during early pregnancy is lacking. The aim of the study is to examine the correlates of early pregnancy serum BDNF concentrations. A total of 982 women attending prenatal care clinics in Lima, Peru, were recruited in early pregnancy. Pearson's correlation coefficient was calculated to evaluate the relation between BDNF concentrations and continuous covariates. Analysis of variance and generalized linear models were used to compare the unadjusted and adjusted BDNF concentrations according to categorical variables. Multivariable linear regression models were applied to determine the factors that influence early pregnancy serum BDNF concentrations. In bivariate analysis, early pregnancy serum BDNF concentrations were positively associated with maternal age (r = 0.16, P < 0.001) and early pregnancy body mass index (BMI) (r = 0.17, P < 0.001), but inversely correlated with gestational age at sample collection (r = -0.21, P < 0.001) and C-reactive protein (CRP) concentrations (r = -0.07, P < 0.05). In the multivariable linear regression model, maternal age (β = 0.11, P = 0.001), early pregnancy BMI (β = 1.58, P < 0.001), gestational age at blood collection (β = -0.33, P < 0.001), and serum CRP concentrations (β = -0.57, P = 0.002) were significantly associated with early pregnancy serum BDNF concentrations. Participants with moderate antepartum depressive symptoms (Patient Health Questionnaire-9 (PHQ-9) score ≥ 10) had lower serum BDNF concentrations compared with participants with no/mild antepartum depressive symptoms (PHQ-9 score < 10). Maternal age, early pregnancy BMI, gestational age, and the presence of moderate antepartum depressive symptoms were statistically significantly associated with early pregnancy serum BDNF concentrations in low-income Peruvian women. Biological changes of CRP during pregnancy may affect serum BDNF concentrations.

Indexed as

AdultBiomarkersBody Mass IndexBrain-Derived Neurotrophic FactorC-Reactive ProteinDepressionFemaleGestational AgeHumansMaternal AgePeruPovertyPregnancyPregnancy ComplicationsPregnant PeoplePrenatal CareBDNF protein, humanBiomarkersBrain-Derived Neurotrophic FactorC-Reactive ProteinAntepartum depressive symptomsBrain-derived neurotrophic factorC-reactive proteinEarly pregnancyPeru

Identifiers

PMID28752260
PMCPMC5693738
OpenAlexW2742066736

What OpenQuestion holds

Textmetadata
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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.