Evidence map›Paper›PMID 32327441›Full record

ArticleBMJ open diabetes research & care2020

Trajectories of early to mid-life adulthood BMI and incident diabetes: the China Health and Nutrition Survey.

Jiali Lv, Bingbing Fan, Mengke Wei, Guangshuai Zhou, Alim Dayimu, Zhenyu Wu, Chang Su, Tao Zhang

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
7.5field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 33 citations in OpenAlex.

  1. No effects of high-The British journal of nutrition · 2025
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  14. The effect of COVID-19 lockdown on Iraqi wrestlers.Journal of medicine and life · 2022
    Observational
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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

8 authors at 3 institutions in 1 country.

Jiali LvBiostatistics, Shandong University, Jinan, China.
Bingbing FanBiostatistics, Shandong University, Jinan, China.
Mengke WeiBiostatistics, Shandong University, Jinan, China.
Guangshuai ZhouBiostatistics, Shandong University, Jinan, China.
Alim DayimuBiostatistics, Shandong University, Jinan, China.
Zhenyu WuBiostatistics, Fudan University, Shanghai, China.
Chang SuNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China taozhang@sdu.edu.cn suchang@ninh.chinacdc.cn.
Tao ZhangBiostatistics, Shandong University, Jinan, China taozhang@sdu.edu.cn suchang@ninh.chinacdc.cn.ORCID 0000-0003-1048-4443
Shandong University · CNChinese Center For Disease Control and Prevention · CNFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis longitudinal study aims to characterize distinct body mass index (BMI) trajectories during early to mid-life adulthood and to explore the association between BMI change from young adulthood to midlife and incident diabetes. RESEARCH DESIGN AND

methodsThis study included 7289 adults who had repeatedly measured BMI 3-9 times during 1989-2011 and information on incident diabetes. Latent class growth mixed model (LCGMM) was used to identify different BMI trajectories. Cox proportional hazard models were used to investigate the association between the trajectory group membership and incident hyperglycemia, adjusting for covariates. The hyperglycemia group included individuals with prediabetes or diabetes. The model-estimated BMI levels and slopes were calculated at each age point in 1-year intervals according to the model parameters and their first derivatives, respectively. Logistic regression analyses were used to examine the association of model-estimated levels and slopes of BMI at each age point with incident hyperglycemia. The area under the curve (AUC) was computed from longitudinal growth curve models during the follow-up for each individual. Prior to the logistic regression analyses, quartiles of total, baseline, and incremental AUC values were calculated.

resultsThree distinct trajectories were characterized by LCGMM, comprising of low-increasing group (n=5136), medium-increasing group (n=1914), and high-increasing group (n=239). Compared with the low-increasing group, adjusted HRs and 95% CIs were 1.21 (0.99 to 1.48) and 1.56 (1.06 to 2.30) for the medium-increasing and the high-increasing group, respectively. The adjusted standardized ORs of model-estimated BMI levels increased among 20-50 years, ranging from 0.98 (0.87 to 1.10) to 1.19 (1.08 to 1.32). The standardized ORs of level-adjusted linear slopes increased gradually from 1.30 (1.16 to 1.45) to 1.42 (1.21 to 1.67) during 20-29 years, then decreased from 1.41 (1.20 to 1.66) to 1.20 (1.08 to 1.33) during 30-43 years, and finally increased to 1.20 (1.04 to 1.38) until 50 years. The fourth quartile of incremental AUC (OR=1.31, 95% CI 1.03 to 1.66) was significant compared with the first quartile, after adjustment for covariates.

conclusionsThese findings indicate that the BMI trajectories during early adulthood were significantly associated with later-life diabetes. Young adulthood is a crucial period for the development of diabetes, which has implications for early prevention.

Indexed as

Diabetes MellitusAdultBody Mass IndexChinaHumansLongitudinal StudiesNutrition SurveysYoung Adultbody mass indexhyperglycemialongitudinal studiesweight change

Identifiers

PMID32327441
PMCPMC7202728
OpenAlexW3018003851

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.