Evidence mapPaperPMID 31362719Full record

ArticleBMC pediatrics2019

U-shaped relationship between birth weight and childhood blood pressure in China.

Chong Lai, Yiyan Hu, Di He, Li Liang, Feng Xiong, Geli Liu, Chunxiu Gong, Feihong Luo, Shaoke Chen, Chunlin Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.1field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

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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

11 authors at 7 institutions in 1 country.

Chong LaiDepartment of Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yiyan HuDepartment of Epidemiology & Biostatistics, Zhejiang University School of Public Health, Hangzhou, China.
Di HeDepartment of Epidemiology & Biostatistics, Zhejiang University School of Public Health, Hangzhou, China.
Li LiangDepartment of Pediatrics, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Feng XiongDepartment of Endocrinology, Chongqing Medical University Affiliated Children's Hospital, Chongqing, China.
Geli LiuDepartment of Pediatrics, Tianjin Medical University General Hospital, Tianjin, China.
Chunxiu GongDepartment of Pediatrics, Beijing Children's Hospital Affiliated to Capital Medical University, Beijing, China.
Feihong LuoDepartment of Pediatric Endocrinology and Genetic Metabolic Diseases, Children's Hospital of Fudan University, Shanghai, China.
Shaoke ChenDepartment of Pediatrics Endocrinology, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Chunlin WangDepartment of Pediatrics, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yimin ZhuDepartment of Epidemiology & Biostatistics, Zhejiang University School of Public Health, Hangzhou, China. zhuym@zju.edu.cn.
First Affiliated Hospital Zhejiang University · CNZhejiang University · CNCapital Medical University · CNChildren's Hospital of Fudan University · CNChongqing Medical University · CNGuangxi Maternal and Child Health Hospital · CNTianjin Medical University General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe relationship between birth weight and blood pressure has not been well explored in Chinese children and adolescents. The aim of this study was to investigate the relationship between birth weight and childhood blood pressure in China.

methodsA total of 15324 children and adolescents (7919 boys and 7405 girls) aged 7-17 years were stratified into six birth weight groups. Analysis of covariance and binary logistic regression were used to analyse the relationship between birth weight and blood pressure while controlling for potential confounding factors, including age, gestational age, season of birth and area of residence.

resultsThe group with birth weights from 2500 to 2999 g had the lowest prevalence of hypertension (8.9%). Lower birth weight children (< 2000 g) had significantly higher systolic blood pressure (SBP) (106.00 ± 0.72, P = 0.017), and children with heavier birth weights also had higher SBP (3500-3999 g, 105.13 ± 0.17, P < .001; ≥ 4000 g, 105.96 ± 0.27, P < .001). No significant relationship was found between birth weight and diastolic blood pressure (DBP). The overall rate of hypertension was 10.8% (12.1% in boys and 9.4% in girls). The median weight group (2500-2999 g) had the lowest rate of hypertension (8.9%). Compared with children in the median weight group, children with lower birth weight had a higher prevalence of hypertension (< 2000 g, OR = 1.85, 95% CI = 1.25-2.74; 2000-2499 g, OR = 1.57, 95% CI = 1.15-2.13), and groups with higher birth weights also had higher risks of hypertension (3500-3999 g, OR = 1.22, 95% CI = 1.02-1.45; ≥ 4000 g, OR = 1.42, 95% CI = 1.16-1.74).

conclusionsExcluding the confounding effect of obesity, a U-shaped relationship between birth weight and risk of hypertension was found in children and adolescents in Chinese cities. Birth weight significantly influences SBP but has a minimal effect on DBP. Further basic research on foetal development and programming may shed light on this phenomenon.

Indexed as

Birth WeightBlood PressureAdolescentBody Mass IndexChildChinaConfounding Factors, EpidemiologicFemaleGestational AgeHumansHypertensionInfant, Low Birth WeightInfant, NewbornLogistic ModelsMaleObesityBirth weightChildhood blood pressureDiastolic blood pressureHypertensionObesitySystolic blood pressure

Identifiers

PMID31362719
PMCPMC6668161
OpenAlexW2965604799

What Socratic 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 Socratic graph.