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Association between body weight variability and incidence of Parkinson disease: A nationwide, population‐based cohort study

Authors :
Chung-Woo Lee
Jin-Hyung Jung
Hyun Jin Kim
Yong Gyu Park
Yeonjoo Choi
Kyungdo Han
Ji Won Yoo
Myung Ji Nam
Joo-Hyun Park
Do Hoon Kim
Source :
European Journal of Neurology. 28:3626-3633
Publication Year :
2021
Publisher :
Wiley, 2021.

Abstract

BACKGROUND AND PURPOSE Although body weight variability has been associated with mortality, cardiovascular disease, and dementia, the relationship between body weight variability and Parkinson disease (PD) has rarely been studied. We aimed to investigate the longitudinal association between body weight variability and PD incidence. METHODS A nationwide population-based, cohort study was conducted using the database from the Health Insurance Review and Assessment Service of the whole Korean population. We analyzed 2,815,135 participants (≥40 years old, mean age = 51.7 ± 8.6 years, 66.8% men) without a previous PD diagnosis. We determined individual body weight variability from baseline weight and follow-up visits. We used Cox proportional hazards regression models. RESULTS The highest quartile group was associated with increased PD incidence compared with the lowest quartile group after adjustment for confounding factors (hazard ratio [HR] = 1.18, 95% confidence interval [CI] = 1.08-1.29). In contrast, baseline body mass index, baseline waist circumference, and waist circumference variability were not associated with increased PD incidence. In the body weight loss group, individuals within the quartile of the highest variation in body weight showed a higher HR of PD risk than those within other quartiles (HR = 1.41, 95% CI = 1.18-1.68). CONCLUSIONS Body weight variability, especially weight loss, was associated with higher PD incidence. This finding has important implications for clinicians and supports the need for preventative measures and surveillance for PD in individuals with fluctuating body weight.

Details

ISSN :
14681331 and 13515101
Volume :
28
Database :
OpenAIRE
Journal :
European Journal of Neurology
Accession number :
edsair.doi.dedup.....c8c957e92b6d02317668ccd30cbe992a