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Association Between Metabolic Syndrome and Restrictive Lung Disease in Older Adults in Korea: Analysis of Data from the 7th Korea National Health and Nutrition Examination Survey

  • Journal of the Korean Society of Physical Medicine
  • Abbr : J Korean Soc Phys Med
  • 2025, 20(2), pp.117~126
  • Publisher : The Korean Society of Physical Medicine
  • Research Area : Medicine and Pharmacy > Physical Therapy > Other physical therapy
  • Received : March 18, 2025
  • Accepted : May 7, 2025
  • Published : May 31, 2025

Lee Do-Youn 1

1국민대학교

Accredited

ABSTRACT

PURPOSE: This study was conducted to analyze the association between metabolic syndrome (MetS) and lung disease in older Korean adults. Given the increasing prevalence of MetS and its potential impact on pulmonary function, understanding its relationship with lung disease is crucial for improving preventive and therapeutic strategies. METHODS: Using data from the 7th Korea National Health and Nutrition Examination Survey (2016–2018), the prevalence and association of MetS and lung disease were evaluated in 2,619 individuals aged 65 years or older. Lung function was classified as normal, obstructive lung disease (FEV1/FVC < .70), or restrictive lung disease (FVC < 80% predicted, FEV1/FVC ≥ .70). A multivariate logistic regression analysis was conducted to assess the association between MetS and lung disease. RESULTS: The results showed that the prevalence of MetS in the restrictive lung disease group was significantly higher at 50.63%, compared to the normal group (37.84%) and the obstructive lung disease group (34.13%). Multivariate logistic regression analysis revealed a significant association between restrictive lung disease and MetS (OR 1.730, 95% CI 1.349–2.219), while no significant association was found for obstructive lung disease. CONCLUSION: This study suggests that restrictive lung disease may pose a risk for cardiovascular diseases, diabetes, and hypertension through its association with metabolic syndrome and provides essential foundational data for the development of health management and prevention strategies for the elderly population.

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