Evidence map›Paper›PMID 31600353›Full record

ArticlePloS one2019

Life-course trajectories of body mass index and subsequent cardiovascular risk among Chinese population.

Md Tauhidul Islam, Jette Möller, Xingwu Zhou, Yajun Liang

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Developmental trajectories of body mass index since childhood and health-related quality of life in young adulthood: Tehran Lipid and Glucose Study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
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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

4 authors.

Md Tauhidul IslamDepartment of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-0738-820X
Jette MöllerDepartment of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.
Xingwu ZhouDepartment of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.
Yajun LiangDepartment of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.

Funding

MONITORING SOCIAL CHANGE: HEALTH, REPRODUCTION, AGINGR01HD030880 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S, POPKIN, BARRY M · 1994 to 2024
$27.0M
SYNAPTIC PHYSIOLOGY OF NEOCORTICAL ECTOPIASP01HD020806 · NICHD · BETH ISRAEL DEACONESS MEDICAL CENTER · PI GALABURDA, ALBERT MARK · 1986 to 2009
$8.8M
BEYOND RACE--EXPLAINING INEQUALITY MANIFESTED AS OBESITYR01HD039183 · NICHD · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2000 to 2003
$780k
NICHD NIH HHS P01 HD020806NICHD NIH HHS R01 HD030880NICHD NIH HHS R01 HD039183
6 · The paper itself

Abstract

backgroundExamining body mass index (BMI) change over life course is crucial for cardiovascular health promotion and prevention. So far, there is very few evidence on the long-term change of BMI from childhood to late life. This study aimed to examine the life-course trajectory patterns of BMI and then to link the trajectory patterns to cardiovascular risk factors in adulthood.

methodsBased on longitudinal data from the China Health and Nutrition Survey, 5276 participants (aged 6-60) at baseline (in 1989) with up to 7 measurements of BMI during 1989-2009 were selected in this study. Cardiovascular risk factors including high blood pressure, high blood glucose and high blood lipids were assessed in 2411 participants in 2009. Latent growth curve modelling was used to analyse the BMI trajectories, and logistic regression was used to examine the associations between trajectory patterns and cardiovascular risk factors.

resultsFour trajectories patterns of BMI over life course (age 6-80) were identified: Normal-Stable (22.4% of the total participants), Low normal-Normal-Stable (44.1%), Low normal-Normal-Overweight (27.2%), and Overweight-Obese (4.3%). Compared to those with Normal-Stable pattern, those with Low normal-Normal-Stable pattern, Low normal-Normal-Overweight pattern and Overweight-Obese pattern had higher risk of high blood pressure (odds ratio range = 1.6-6.6), high blood glucose (1.7-9.1), dyslipidemia (2.6-5.9) and having at least two of the three cardiovascular risk factors (3.9-30.9).

conclusionsHaving a stable BMI within normal range over life course is associated with the lowest cardiovascular risk, whereas remaining overweight and obese over life course is associated with the highest cardiovascular risk.

Indexed as

Body Mass IndexAdolescentAdultAgedAged, 80 and overCardiovascular DiseasesChildChild, PreschoolChinaFemaleHumansLongitudinal StudiesMaleMiddle Aged

Identifiers

PMID31600353
PMCPMC6786833

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Registered trials

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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.