Evidence map›Paper›PMID 31454166›Full record

ArticleJournal of diabetes investigation2020

Distinct developmental trajectories of body mass index and diabetes risk: A 5-year longitudinal study of Chinese adults.

Haijiang Dai, Fei Li, Nicola Luigi Bragazzi, Jiangang Wang, Zhiheng Chen, Hong Yuan, Yao Lu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of diabetes investigation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 14 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

7 authors at 2 institutions in 2 countries.

Haijiang DaiCenter of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.ORCID https://orcid.org/0000-0002-5595-8000
Fei LiCenter of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Nicola Luigi BragazziCenter for Disease Modeling, Department of Mathematics and Statistics, York University, Toronto, Ontario, Canada.
Jiangang WangDepartment of Health Management, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zhiheng ChenDepartment of Health Management, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Hong YuanCenter of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yao LuCenter of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Central South University · CNYork University · CA

Funding

National Science Foundation of China 81800393Natural Science Foundation of Hunan Province 2018JJ3783Postgraduate Independent Exploration and Innovation Project of Central South University 2018zzts264
6 · The paper itself

Abstract

AIMS/

introductionThis longitudinal study aimed to explore whether distinct developmental trajectories of body mass index (BMI) would be predictive of diabetes risk in general Chinese adults. MATERIALS AND

methodsA total of 4,519 participants aged >18 years who were free of diabetes in 2011 (baseline of the current analysis) were enrolled in this study. All participants completed a medical examination every year during 2011-2016, and BMI levels were measured two to six (average 5.6) times. Group-based trajectory modeling was applied to identify BMI trajectories over time. New-onset diabetes was confirmed in 2016.

resultsDuring 2011-2016, four distinct BMI trajectories were identified according to BMI range and changing pattern over time: "low" (19.6%), "moderate" (33.4%), "moderate-high" (33.4%) and "high" (13.6%). A total of 168 (3.7%) new-onset diabetes cases were confirmed in 2016. Compared with the "low" BMI trajectory, participants in the "high" BMI trajectory were at significantly higher risk for new-onset diabetes (adjusted relative risk 3.24, 95% confidence interval 1.27-8.24). Notably, BMI trajectories based on the first four or three annual BMI tests yielded similar results. By contrast, no significant correlation was found between categories of baseline BMI and new-onset diabetes in 2016 after multivariate adjustment.

conclusionsThe present results show that distinct BMI trajectories, even identified using just four or three annual BMI tests, are significantly associated with new-onset diabetes. Monitoring BMI trajectories over time might provide an important approach to identify subpopulations at higher risk for developing diabetes.

Indexed as

Body Mass IndexAdultAsian PeopleChinaDiabetes MellitusFemaleHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsBody mass indexDiabetesTrajectory

Identifiers

PMID31454166
PMCPMC7078171
OpenAlexW2971109802

What OpenQuestion holds

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LicenceCC BY-NC
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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.