Evidence map›Paper›PMID 34019883›Full record

ArticleThe Journal of pediatrics2021

Trajectories of Systolic Blood Pressure in Children: Risk Factors and Cardiometabolic Correlates.

Wen Lun Yuan, Michael S Kramer, Navin Michael, Suresh A Sadananthan, Mya T Tint, Ling-Wei Chen, Wei Wei Pang, Sendhil S Velan, Keith M Godfrey, Yap-Seng Chong and 5 more

Open access · greenAbstract read
In one paragraph

Article in The Journal of pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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

15 authors at 5 institutions in 5 countries.

Wen Lun YuanDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Michael S KramerDepartment of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Department of Paediatrics, Faculty of Medicine, McGill University, Montreal, Canada; Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, McGill University, Montreal, Canada.
Navin MichaelSingapore Institute for Clinical Sciences, Agency for Science, Technology, and Research (A∗STAR), Singapore, Singapore.
Suresh A SadananthanSingapore Institute for Clinical Sciences, Agency for Science, Technology, and Research (A∗STAR), Singapore, Singapore.
Mya T TintDepartment of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research (A∗STAR), Singapore, Singapore.
Ling-Wei ChenSingapore Bioimaging Consortium, Agency for Science, Technology, and Research (A∗STAR), Singapore, Singapore.
Wei Wei PangDepartment of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Sendhil S VelanSingapore Institute for Clinical Sciences, Agency for Science, Technology, and Research (A∗STAR), Singapore, Singapore; HRB Centre for Health and Diet Research, School of Public Health, Physiotherapy, and Sports Science, University College Dublin, Dublin, Ireland.
Keith M GodfreyMedical Research Council Lifecourse Epidemiology Unit and National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital, Southampton National Health Service Foundation Trust, Southampton, United Kingdom.
Yap-Seng ChongDepartment of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research (A∗STAR), Singapore, Singapore.
Mary F F ChongSingapore Institute for Clinical Sciences, Agency for Science, Technology, and Research (A∗STAR), Singapore, Singapore; Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Jonathan T L ChooKK Women's and Children's Hospital, Singapore, Singapore.
Lieng Hsi LingDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Department of Cardiology, National University Heart Centre, Singapore, Singapore.
Johan G ErikssonDepartment of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research (A∗STAR), Singapore, Singapore; Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Folkhälsan Research Center, Helsinki, Finland.
Yung Seng LeeDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research (A∗STAR), Singapore, Singapore; Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore, Singapore.
Agency for Science, Technology and Research · SGNational University of Singapore · SGKK Women's and Children's Hospital · SGNational Health Service · GBUniversity College Dublin · IE

Funding

British Heart Foundation RG/15/17/31749Medical Research Council MC_PC_21000Medical Research Council MC_PC_21001Medical Research Council MC_PC_21003Medical Research Council MC_UP_A620_1014Medical Research Council MC_UU_12011/4
6 · The paper itself

Abstract

objectiveTo identify systolic blood pressure (SBP) percentile trajectories in children and to describe the early-life risk factors and cardiometabolic correlates of those trajectories. STUDY

designUsing age-, sex-, and height-specific SBP percentiles based on the American Academy of Pediatrics reference, we examined SBP trajectories using latent class mixed models from ages 3 to 8 years (n = 844) from the Growing Up in Singapore Towards healthy Outcomes-study, a Singaporean mother-offspring cohort study. We analyzed associations between SBP trajectories and early-life risk factors using multinomial logistic regression and differences across trajectories in cardiometabolic outcomes using multiple linear regression.

resultsChildren were classified into 1 of 4 SBP percentile trajectories: "low increasing" (15%), "high stable" (47%), "high decreasing" (20%), and "low stable" (18%). Maternal hypertension during early pregnancy was a predictor of the "high stable" and "low increasing" SBP trajectories. Rapid child weight gain in the first 2 years of life was only associated with the "high stable" trajectory. Compared with children in the "low stable" trajectory, children in the "high stable" SBP trajectory had greater body mass index z scores, sum of skinfold thicknesses, waist circumference from ages 3 to 8 years, and abdominal adipose tissue (milliliters) at 4.5 years (adjusted mean difference [95% CI]: superficial and deep subcutaneous abdominal adipose tissue: 115.2 [48.1-182.3] and 85.5 [35.2-135.8]). Their fat mass (kilograms) (1.3 [0.6-2.0]), triglyceride levels (mmol/L) (0.10 [0.02-0.18]), and homeostasis model assessment of insulin resistance (0.28 [0.11 0.46]) at age 6 years were also greater but not their arterial thickness and stiffness.

conclusionsReducing maternal blood pressure during pregnancy and infant weight gain in the first 2 years of life might help to prevent the development of high SBP.

Indexed as

Age FactorsBlood GlucoseBlood PressureBody Mass IndexCardiovascular DiseasesChildChild, PreschoolCholesterolFemaleHumansInfantLogistic ModelsMaleRisk FactorsSingaporeWaist CircumferenceBlood GlucoseCholesteroladiposityGUSTOlatent class mixed modelmaternal hypertensionrapid weight gain

Identifiers

PMID34019883
PMCPMC7611585
OpenAlexW3162383429

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.