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Trajectories of early to mid-life adulthood BMI and incident diabetes: the China Health and Nutrition Survey
  1. Jiali Lv1,
  2. Bingbing Fan1,
  3. Mengke Wei1,
  4. Guangshuai Zhou1,
  5. Alim Dayimu1,
  6. Zhenyu Wu2,
  7. Chang Su3,
  8. Tao Zhang1
  1. 1Biostatistics, Shandong University, Jinan, China
  2. 2Biostatistics, Fudan University, Shanghai, China
  3. 3National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
  1. Correspondence to Dr Tao Zhang; taozhang{at}sdu.edu.cn; Dr Chang Su; suchang{at}ninh.chinacdc.cn

Abstract

Introduction This 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 methods This 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.

Results Three 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.

Conclusions These 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.

  • body mass index
  • hyperglycemia
  • weight change
  • longitudinal studies
http://creativecommons.org/licenses/by-nc/4.0/

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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Footnotes

  • JL and BF are joint first authors.

  • Contributors JL, BF, TZ, and CS generated the hypothesis, directed implementation, and wrote the manuscript. AD contributed to analytic strategy and statistical analyses. MW, GZ, ZW, CS, and TZ supervised the field activities and data collection and edited the manuscript.

  • Funding This study was supported by grants from National Natural Science Foundation of China (81973147 and 81673271), Cheloo Young Scholars Program of Shandong University, and Shandong University multidisciplinary research and innovation team of young scholars (2020QNQT11 and IFYT18034).

  • Competing interests None declared.

  • Patient consent for publication Not required.

  • Ethics approval Study protocols were approved by the Institutional Review Committees of the University of North Carolina at Chapel Hill, NC, USA, and the China National Institute of Nutrition and Food Safety at the Chinese Center for Disease Control and Prevention, Beijing, China. Written informed consent was obtained from each study participants.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data availability statement Data are available in a public, open access repository.