PMID- 31196038
OWN - NLM
STAT- MEDLINE
DCOM- 20190822
LR  - 20200225
IS  - 1471-2458 (Electronic)
IS  - 1471-2458 (Linking)
VI  - 19
IP  - 1
DP  - 2019 Jun 13
TI  - Waist circumference trajectories and risk of type 2 diabetes mellitus in Korean 
      population: the Korean genome and epidemiology study (KoGES).
PG  - 741
LID - 10.1186/s12889-019-7077-6 [doi]
LID - 741
AB  - 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.
FAU - Jeon, Jooeun
AU  - Jeon J
AD  - Department of Public Health, Graduate School, Yonsei University, 50 Yonsei-ro, 
      Seodaemun-gu, Seoul, 03722, Republic of Korea.
AD  - Department of Epidemiology and Health Promotion, Institute for Health Promotion, 
      Graduate School of Public Health, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 
      Seoul, 03722, Republic of Korea.
FAU - Jung, Keum Ji
AU  - Jung KJ
AUID- ORCID: 0000-0003-4993-0666
AD  - Department of Epidemiology and Health Promotion, Institute for Health Promotion, 
      Graduate School of Public Health, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 
      Seoul, 03722, Republic of Korea. KJJUNG@yuhs.ac.
FAU - Jee, Sun Ha
AU  - Jee SH
AD  - Department of Epidemiology and Health Promotion, Institute for Health Promotion, 
      Graduate School of Public Health, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 
      Seoul, 03722, Republic of Korea.
LA  - eng
GR  - NRF- 2016R1A6A3A11933465/Ministry of Education/
GR  - HI14C2686/Ministry of Health and Welfare/
PT  - Journal Article
DEP - 20190613
PL  - England
TA  - BMC Public Health
JT  - BMC public health
JID - 100968562
MH  - Adult
MH  - Cohort Studies
MH  - Diabetes Mellitus, Type 2/*epidemiology
MH  - Female
MH  - Humans
MH  - Incidence
MH  - Male
MH  - Middle Aged
MH  - Republic of Korea/epidemiology
MH  - Risk Factors
MH  - *Waist Circumference
PMC - PMC6567400
OTO - NOTNLM
OT  - Longitudinal study
OT  - Trajectory
OT  - Type 2 diabetes mellitus
OT  - Waist circumference
COIS- The authors declare that they have no competing interests.
EDAT- 2019/06/15 06:00
MHDA- 2019/08/23 06:00
PMCR- 2019/06/13
CRDT- 2019/06/15 06:00
PHST- 2018/11/12 00:00 [received]
PHST- 2019/05/30 00:00 [accepted]
PHST- 2019/06/15 06:00 [entrez]
PHST- 2019/06/15 06:00 [pubmed]
PHST- 2019/08/23 06:00 [medline]
PHST- 2019/06/13 00:00 [pmc-release]
AID - 10.1186/s12889-019-7077-6 [pii]
AID - 7077 [pii]
AID - 10.1186/s12889-019-7077-6 [doi]
PST - epublish
SO  - BMC Public Health. 2019 Jun 13;19(1):741. doi: 10.1186/s12889-019-7077-6.