Evidence map›Paper›PMID 36062130›Full record

ArticleFrontiers in public health2022

Change of weight status during school age and its association with late adolescent blood pressure: Results from a 15-year longitudinal study in China.

Xijie Wang, Yanhui Dong, Sizhe Huang, Bin Dong, Jun Ma, Wannian Liang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. 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 39% 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

6 authors at 2 institutions in 1 country.

Xijie WangVanke School of Public Health, Tsinghua University, Beijing, China.
Yanhui DongInstitute of Child and Adolescent Health & School of Public Health, Peking University, Beijing, China.
Sizhe HuangZhongshan Health Care Center for Primary and Secondary Schools, Zhongshan, China.
Bin DongInstitute of Child and Adolescent Health & School of Public Health, Peking University, Beijing, China.
Jun MaInstitute of Child and Adolescent Health & School of Public Health, Peking University, Beijing, China.
Wannian LiangVanke School of Public Health, Tsinghua University, Beijing, China.
Peking University · CNTsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Change in obesity risk could be related to shift in high blood pressure (HBP) risk, while individualized influence of weight change on high blood pressure is in need of exploration. Methods: A total of 16,446 children (53.47% boys) and 13,9021 effective annual measurements from 2006 to 2020 were recruited. Children's weight status, both at baseline and endpoint, was categorized as underweight, normal, overweight, and obese according to the age and sex-specific Body Mass Index z scores. HBP at late adolescence was defined with the last two measurements for each child. Populational attributable risk (PAR) of weight trait on HBP risk was calculated. Results: Compared to children who maintained normal weight during follow-up, staying obese was associated with the highest HBP risk with OR of 6.39 (95% CI: 4.46, 9.15; Conclusion: Weight loss program could be effective to reduce HBP risk during school age, while the underlying mechanism needs further exploration.

Indexed as

HypertensionAdolescentBlood PressureChildChinaFemaleHumansLongitudinal StudiesMaleObesityepidemiologyhigh blood pressure (HBP)longitudinal analysisoverweight and obeseschool-aged children

Identifiers

PMID36062130
PMCPMC9437432
OpenAlexW4292336382

What OpenQuestion 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 OpenQuestion graph.