Abstract

Shorter people are at risk for cardiovascular disease (CVD), but data remain limited. This study sought to determine whether height loss is associated with an increased incidence of CVD. From the Korean National Health Insurance Service—Senior database (2002–2015), data of 134,952 individuals with available information on height loss was obtained. Height loss as percentages was measured 3–5 years from the baseline height. To assess hazard ratios for CVD incidence, multivariable Cox proportional hazard regression models were used before and after applying propensity score matching. The unmatched cohort consisted of 109,546 participants without height loss (< 1%): 20,208 participants with 1–2% height loss, and 5126 participants with ≥ 2% height loss. During a median follow-up period of 6.5 years (interquartile range, 3.7–8.5 years), 21,921 were newly diagnosed with CVD. Adults with height loss of > 2% had a greater risk of incident CVD than those with no height loss. This finding was statistically significant both in the original- and propensity score-matched cohorts. The increased risk for ischemic stroke was significant in the male subgroups, in line with degree of height loss. Overall, height loss is associated with an increased risk of subsequent ischemic stroke in Korean men.

Details

Title
Association between height loss and cardiovascular disease in the Korean elderly
Author
Choi Soo Jung 1 ; Lee, Rugyeom 2 ; Yewon, Na 3 ; Hwang In Cheol 1 ; Jung Jaehun 4 

 Gachon University College of Medicine, Department of Family Medicine, Gil Medical Center, Incheon, South Korea (GRID:grid.256155.0) (ISNI:0000 0004 0647 2973) 
 Gachon University College of Medicine, Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Incheon, South Korea (GRID:grid.256155.0) (ISNI:0000 0004 0647 2973) 
 Gachon University College of Medicine, Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Incheon, South Korea (GRID:grid.256155.0) (ISNI:0000 0004 0647 2973); Seoul National University, Graduate School of Public Health, Seoul, South Korea (GRID:grid.31501.36) (ISNI:0000 0004 0470 5905) 
 Gachon University College of Medicine, Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Incheon, South Korea (GRID:grid.256155.0) (ISNI:0000 0004 0647 2973); Gachon University College of Medicine, Department of Preventive Medicine, Incheon, South Korea (GRID:grid.256155.0) (ISNI:0000 0004 0647 2973) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2628909583
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.