Association of metabolic syndrome with mobility in the older adults: a Korean nationwide representative cross-sectional study

• Published in: Scientific reports Vol. 11; no. 1; p. 6605
• Main Authors: Son, Ki Young, Shin, Dong Wook, Lee, Ji Eun, Kim, Sang Hyuck, Yun, Jae Moon, Cho, Belong
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 23.03.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 692/163/2743/2037; 692/700/1518; Adult; Aged; Blood pressure; Cholesterol; Cross-sectional studies; Female; Geriatric Assessment - statistics & numerical data; High density lipoprotein; Humanities and Social Sciences; Humans; Hypertension; Male; Medical screening; Metabolic disorders; Metabolic syndrome; Metabolic Syndrome - epidemiology; Middle Aged; Mobility; Mobility Limitation; Movement; multidisciplinary; Older people; Population studies; Regression analysis; Republic of Korea; Science; Science (multidisciplinary); Republic of Korea
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-021-86186-2

We aimed to examine whether metabolic syndrome (MetS) is associated with mobility in the older adults, using the timed up and go (TUG) test which is one of the most widely used tests for evaluating mobility. This is population-based study with the National Health Insurance Service–National Health Screening Cohort database of National Health Information Database. Participants included were those who completed the TUG as part of the National Screening Program for Transitional Ages. An abnormal TUG result was defined as a time ≥ 10 s. Multiple logistic regression models were used to assess the associations between MetS and TUG results. We constructed three models with different levels of adjustment. Furthermore, we conducted a stratified analysis according to the risk. Among the 40,767 participants included, 19,831 (48.6%) were women. Mean TUG value was 8.34 ± 3.07 s, and abnormal TUG test results were observed in 4,391 (10.8%) participants; 6,888 (16.9%) participants were categorised to have MetS. The worst TUG test results were obtained in participants with three or four MetS features, and a J-shaped relationship of each MetS feature, except triglyceride (TG) and high-density lipoprotein-cholesterol (HDL-C), with TUG test was found. Participants with MetS had 18% higher likelihood of showing abnormal TUG test results in a fully adjusted model (adjusted odds ratio 1.183, 95% confidence interval 1.115–1.254). The stratified analysis revealed that participants with central obesity, high blood pressure, and normal HDL-C and TG were more likely to have abnormal TUG times. Participants with MetS had a higher risk of exhibiting abnormal TUG results, and except for HDL-C and TG, all other MetS features had a J-shaped relationship with TUG. Preventive lifestyle such as lower carbohydrate and higher protein intake, and endurance exercise is needed.