Risk of Incident Dementia According to Metabolic Health and Obesity Status in Late Life: A Population-Based Cohort Study

Ji Yeon Lee; Kyungdo Han; Eugene Han; Gyuri Kim; Hanna Cho; Kwang Joon Kim; Byung Wan Lee; Eun Seok Kang; Bong Soo Cha; Carol Brayne; Yong Ho Lee

doi:10.1210/jc.2018-01491

Risk of Incident Dementia According to Metabolic Health and Obesity Status in Late Life: A Population-Based Cohort Study

Ji Yeon Lee, Kyungdo Han, Eugene Han, Gyuri Kim, Hanna Cho, Kwang Joon Kim, Byung Wan Lee, Eun Seok Kang, Bong Soo Cha, Carol Brayne, Yong Ho Lee

Department of Internal Medicine

Research output: Contribution to journal › Article › peer-review

27 Citations (Scopus)

Abstract

The risk for dementia among subjects who are obese with normal metabolic profiles, or called metabolically healthy obese (MHO), remains uninvestigated. Objective: To determine the association between late-life metabolic health and obesity status and risk of incident dementia. Design: Retrospective cohort study. Setting: The National Health Insurance System, Republic of Korea. Patients: A total of 12,296,863 adults.50 years old who underwent health examinations from 2009 to 2012 without baseline history of dementia. Main Outcome Measure: Incident overall dementia, Alzheimer's disease (AD), and vascular dementia (VaD). Results: Among subjects 60 years old, 363,932 (6.4%) developed dementia during a median followup of 65 months (interquartile range 51 to 74months). TheMHO group showed the lowest incidence of overall dementia [hazard ratio (HR) 0.85; 95%CI, 0.84 to 0.86] andAD(HR0.87; 95%CI, 0.86 to 0.88), but not VaD, comparedwith themetabolically healthy nonobese group. All components ofmetabolic syndrome except obesity significantly elevated the risk of dementia, and these associationsweremore pronounced in VaD. In particular, being underweight dramatically increased the risk of dementia.

Original language	English
Article number	jcem_201801491
Pages (from-to)	2942-2952
Number of pages	11
Journal	Journal of Clinical Endocrinology and Metabolism
Volume	104
Issue number	7
DOIs	https://doi.org/10.1210/jc.2018-01491
Publication status	Published - 2019 Mar 21

Bibliographical note

Funding Information:
Financial Support: This research was supported by a grant from the Basic Science Research Program through a National Research Foundation of Korea grant, funded by the Ministry of Science and ICT (NRF-2016R1A5A1010764, to Y.H.L.), and an Institute for Information & Communications Technology Promotiongrant,fundedbytheKoreangovernment(no.2017-0-01779, “A Machine Learning and Statistical Inference Frame-work for Explainable Artificial Intelligence,” to K.J.K.).

Publisher Copyright:
© 2019 Endocrine Society.

All Science Journal Classification (ASJC) codes

Endocrinology, Diabetes and Metabolism
Biochemistry
Endocrinology
Clinical Biochemistry
Biochemistry, medical

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1210/jc.2018-01491

Cite this

Lee, J. Y., Han, K., Han, E., Kim, G., Cho, H., Kim, K. J., Lee, B. W., Kang, E. S., Cha, B. S., Brayne, C., & Lee, Y. H. (2019). Risk of Incident Dementia According to Metabolic Health and Obesity Status in Late Life: A Population-Based Cohort Study. Journal of Clinical Endocrinology and Metabolism, 104(7), 2942-2952. Article jcem_201801491. https://doi.org/10.1210/jc.2018-01491

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title = "Risk of Incident Dementia According to Metabolic Health and Obesity Status in Late Life: A Population-Based Cohort Study",

abstract = "The risk for dementia among subjects who are obese with normal metabolic profiles, or called metabolically healthy obese (MHO), remains uninvestigated. Objective: To determine the association between late-life metabolic health and obesity status and risk of incident dementia. Design: Retrospective cohort study. Setting: The National Health Insurance System, Republic of Korea. Patients: A total of 12,296,863 adults.50 years old who underwent health examinations from 2009 to 2012 without baseline history of dementia. Main Outcome Measure: Incident overall dementia, Alzheimer's disease (AD), and vascular dementia (VaD). Results: Among subjects 60 years old, 363,932 (6.4%) developed dementia during a median followup of 65 months (interquartile range 51 to 74months). TheMHO group showed the lowest incidence of overall dementia [hazard ratio (HR) 0.85; 95%CI, 0.84 to 0.86] andAD(HR0.87; 95%CI, 0.86 to 0.88), but not VaD, comparedwith themetabolically healthy nonobese group. All components ofmetabolic syndrome except obesity significantly elevated the risk of dementia, and these associationsweremore pronounced in VaD. In particular, being underweight dramatically increased the risk of dementia.",

author = "Lee, {Ji Yeon} and Kyungdo Han and Eugene Han and Gyuri Kim and Hanna Cho and Kim, {Kwang Joon} and Lee, {Byung Wan} and Kang, {Eun Seok} and Cha, {Bong Soo} and Carol Brayne and Lee, {Yong Ho}",

note = "Funding Information: Financial Support: This research was supported by a grant from the Basic Science Research Program through a National Research Foundation of Korea grant, funded by the Ministry of Science and ICT (NRF-2016R1A5A1010764, to Y.H.L.), and an Institute for Information & Communications Technology Promotiongrant,fundedbytheKoreangovernment(no.2017-0-01779, “A Machine Learning and Statistical Inference Frame-work for Explainable Artificial Intelligence,” to K.J.K.). Publisher Copyright: {\textcopyright} 2019 Endocrine Society.",

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AU - Han, Kyungdo

AU - Han, Eugene

AU - Kim, Gyuri

AU - Cho, Hanna

AU - Kim, Kwang Joon

AU - Lee, Byung Wan

AU - Kang, Eun Seok

AU - Cha, Bong Soo

AU - Brayne, Carol

AU - Lee, Yong Ho

N1 - Funding Information: Financial Support: This research was supported by a grant from the Basic Science Research Program through a National Research Foundation of Korea grant, funded by the Ministry of Science and ICT (NRF-2016R1A5A1010764, to Y.H.L.), and an Institute for Information & Communications Technology Promotiongrant,fundedbytheKoreangovernment(no.2017-0-01779, “A Machine Learning and Statistical Inference Frame-work for Explainable Artificial Intelligence,” to K.J.K.). Publisher Copyright: © 2019 Endocrine Society.

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Risk of Incident Dementia According to Metabolic Health and Obesity Status in Late Life: A Population-Based Cohort Study

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

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