DOI QR코드

DOI QR Code

Relationships between Metabolic Syndrome Component and Depression, Stress

  • Shim, Moon-Jung (Department of Clinical Laboratory Science, Ansan University) ;
  • Kang, Yun-Jung (Department of Health Science, Dankook University Graduate School)
  • Received : 2014.06.07
  • Accepted : 2014.06.15
  • Published : 2014.06.30

Abstract

The purpose of this study is to provide an academic basis regarding the necessity of managing depression and stress among metabolic syndrome patients by understanding 5 components of metabolic syndrome, perceived stress, and degree of depression, and by investigating their association using the national nutrition survey reference. This study was conducted by using mental health surveys and health screening test data of the 5th (2010~2012) primitive data of the national health and nutrition survey. A total of 19,599 respondents over 19 years of age were selected for the final analysis. The level of depression and stress was set as the dependent variable to identify its connection with 5 components of the metabolic syndrome. For the stress recognition, none of the metabolic syndrome components showed a significant correlation. For experiencing the depression symptom, the fasting glucose among the factors showed a significant correlation (p<0.05) among the metabolic syndrome factors. When it falls within the criteria of fasting glucose of metabolic syndrome, it has a great probability of falling under the group who experienced greater depression symptoms. As a result of the analysis by controlling cardiovascular and cerebrovascular disease which is tightly related with metabolic syndrome and depression, this study observed that glucose out of 5 metabolic syndrome components is related with depression.

Keywords

Cited by

  1. C57BL/6 마우스에서 고지방 식이와 CCl4로 유발한 간섬유증에 미치는 커큐민의 보호효과 vol.47, pp.4, 2014, https://doi.org/10.15324/kjcls.2015.47.4.251
  2. Association between self‐reported medical diagnosis of depression and metabolic syndrome in a population‐based study: A propensity score‐matched analysis vol.9, pp.1, 2022, https://doi.org/10.1002/nop2.1074