Waist circumference trajectories and risk of type 2 diabetes mellitus in Korean population: the Korean genome and epidemiology study (KoGES)

Abstract Background To classify waist circumference (WC) trajectories and examine each trajectory’s association with risk of incident type 2 diabetes mellitus (T2DM). Methods In Korean Genome and Epidemiology Study (KoGES 2001–2014), 4992 participants aged 40 years and above who received biennial he...

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Main Authors: Jooeun Jeon, Keum Ji Jung, Sun Ha Jee
Format: Article
Language:English
Published: BMC 2019-06-01
Series:BMC Public Health
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12889-019-7077-6
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spelling doaj-158d0f8ad97241f49140d94884c5b1bf2020-11-25T02:40:37ZengBMCBMC Public Health1471-24582019-06-0119111110.1186/s12889-019-7077-6Waist circumference trajectories and risk of type 2 diabetes mellitus in Korean population: the Korean genome and epidemiology study (KoGES)Jooeun Jeon0Keum Ji Jung1Sun Ha Jee2Department of Public Health, Graduate School, Yonsei UniversityDepartment of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei UniversityDepartment of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei UniversityAbstract Background To classify waist circumference (WC) trajectories and examine each trajectory’s association with risk of incident type 2 diabetes mellitus (T2DM). Methods In Korean Genome and Epidemiology Study (KoGES 2001–2014), 4992 participants aged 40 years and above who received biennial health examinations from wave 1 to wave 4 (2001–2008) were selected. Five distinct trajectory groups were identified for WC using group-based trajectory modeling methods such as censored normal model. Cox proportional hazards model was used to examine the association of trajectories with risk of T2DM. Results During 31,118 person-years of follow-up (mean follow-up duration, 6.2 years), 276 incident cases of T2DM were identified. Through trajectory analysis, 5 distinct WC patterns were found during wave1 to wave 4, which were “Group A” was stable on very low levels, “Group B” was stable on low levels, “Group C” was stable on moderate levels, “Group D” had increasing pattern on elevated levels, “Group E” was shown increasing on high levels. Age-standardized incidences rates per 100,000 person-years were increased with WC expanding trajectory group (193.9 for Group A, 498.4 for Group B, 661.9 for Group C, 1845.9 for Group D, and 2045.0 for Group E). In multivariate analysis after adjusting for confounding variable at wave 4, Group B (Hazard ratio (HR), 2.2; 95% confidence interval (CI), and 1.1–4.6), Group C (HR: 2.5, 95% CI: 1.2–5.0), Group D (HR: 5.4, 95% CI: 2.7–10.9), Group E (HR: 7.3, 95% CI: 3.5–15.4) had a higher risk of T2DM than Group A. After further adjusting for body mass index strongly correlated with WC, the association was attenuated. Conclusions WC trajectory was a significant predictor of T2DM risk in increasing trajectories on high level. This finding indicate the importance of WC management across prolong lifespan by assessing the prognosis and prevention strategies of high-risk populations for T2DM in middle-aged adults.http://link.springer.com/article/10.1186/s12889-019-7077-6Waist circumferenceType 2 diabetes mellitusLongitudinal studyTrajectory
collection DOAJ
language English
format Article
sources DOAJ
author Jooeun Jeon
Keum Ji Jung
Sun Ha Jee
spellingShingle Jooeun Jeon
Keum Ji Jung
Sun Ha Jee
Waist circumference trajectories and risk of type 2 diabetes mellitus in Korean population: the Korean genome and epidemiology study (KoGES)
BMC Public Health
Waist circumference
Type 2 diabetes mellitus
Longitudinal study
Trajectory
author_facet Jooeun Jeon
Keum Ji Jung
Sun Ha Jee
author_sort Jooeun Jeon
title Waist circumference trajectories and risk of type 2 diabetes mellitus in Korean population: the Korean genome and epidemiology study (KoGES)
title_short Waist circumference trajectories and risk of type 2 diabetes mellitus in Korean population: the Korean genome and epidemiology study (KoGES)
title_full Waist circumference trajectories and risk of type 2 diabetes mellitus in Korean population: the Korean genome and epidemiology study (KoGES)
title_fullStr Waist circumference trajectories and risk of type 2 diabetes mellitus in Korean population: the Korean genome and epidemiology study (KoGES)
title_full_unstemmed Waist circumference trajectories and risk of type 2 diabetes mellitus in Korean population: the Korean genome and epidemiology study (KoGES)
title_sort waist circumference trajectories and risk of type 2 diabetes mellitus in korean population: the korean genome and epidemiology study (koges)
publisher BMC
series BMC Public Health
issn 1471-2458
publishDate 2019-06-01
description Abstract Background To classify waist circumference (WC) trajectories and examine each trajectory’s association with risk of incident type 2 diabetes mellitus (T2DM). Methods In Korean Genome and Epidemiology Study (KoGES 2001–2014), 4992 participants aged 40 years and above who received biennial health examinations from wave 1 to wave 4 (2001–2008) were selected. Five distinct trajectory groups were identified for WC using group-based trajectory modeling methods such as censored normal model. Cox proportional hazards model was used to examine the association of trajectories with risk of T2DM. Results During 31,118 person-years of follow-up (mean follow-up duration, 6.2 years), 276 incident cases of T2DM were identified. Through trajectory analysis, 5 distinct WC patterns were found during wave1 to wave 4, which were “Group A” was stable on very low levels, “Group B” was stable on low levels, “Group C” was stable on moderate levels, “Group D” had increasing pattern on elevated levels, “Group E” was shown increasing on high levels. Age-standardized incidences rates per 100,000 person-years were increased with WC expanding trajectory group (193.9 for Group A, 498.4 for Group B, 661.9 for Group C, 1845.9 for Group D, and 2045.0 for Group E). In multivariate analysis after adjusting for confounding variable at wave 4, Group B (Hazard ratio (HR), 2.2; 95% confidence interval (CI), and 1.1–4.6), Group C (HR: 2.5, 95% CI: 1.2–5.0), Group D (HR: 5.4, 95% CI: 2.7–10.9), Group E (HR: 7.3, 95% CI: 3.5–15.4) had a higher risk of T2DM than Group A. After further adjusting for body mass index strongly correlated with WC, the association was attenuated. Conclusions WC trajectory was a significant predictor of T2DM risk in increasing trajectories on high level. This finding indicate the importance of WC management across prolong lifespan by assessing the prognosis and prevention strategies of high-risk populations for T2DM in middle-aged adults.
topic Waist circumference
Type 2 diabetes mellitus
Longitudinal study
Trajectory
url http://link.springer.com/article/10.1186/s12889-019-7077-6
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