title: Metabolic syndrome and quality of life (QOL) using generalised and obesity-specific QOL scales.
abstract: OBJECTIVE
  We investigated the association between metabolic syndrome (MS) and health-related quality of life (HRQOL) assessed using generalised and obesity-specific QOL instruments.
  
  
  METHODS
  We recruited 456 outpatients [age: 19-81 years, body mass index (BMI): 16.3-36.7 kg/m2] in the primary care division from 12 general hospitals in Korea. HRQOL was measured using EuroQol comprising the health states descriptive system (EQ-5D) and visual analogue scale (EQ-VAS) as a general instrument. The Korean Obesity-related QOL scale (KOQOL) composed of six domains was used as a disease-specific QOL instrument. MS was defined on the basis of International Diabetes Federation (IDF) criteria with Korean-specific waist circumference cutoffs (men: 90 cm, women: 85 cm).
  
  
  RESULTS
  Subjects with MS displayed significantly higher impairment of EQ-5D and KOQOL. Binary logistic regression analysis of MS patients with controls for age, gender, smoking, alcohol, exercise, education, income, marital status and medication history disclosed odds ratio (OR) values of 2.13 (1.33-3.41) for impaired total KOQOL, 2.07 (1.31-3.27) for impaired physical health, 1.63 (1.03-2.60) for impaired work-related health, 2.42 (1.45-4.04) for impaired routine life, 2.08 (1.27-3.40) for impaired sexual life and 2.56 (1.59-4.11) for diet distress. Among the EQ-5D dimensions, only pain/discomfort displayed a significantly increased OR of 1.60 (1.01-2.56) in MS group.
  
  
  CONCLUSIONS
  Subjects with MS displayed a significantly impaired HRQOL compared with those without MS. MS and HRQOL were more strongly associated in obesity-specific QOL than in generalised QOL.
authors.affiliation: Department of Family Medicine, Eulji University School of College, Seoul, Korea.
authors.forename: J H
authors.initials: JH
authors.lastname: Han
authors.forename: H S
authors.initials: HS
authors.lastname: Park
authors.forename: C I
authors.initials: CI
authors.lastname: Shin
authors.forename: H M
authors.initials: HM
authors.lastname: Chang
authors.forename: K E
authors.initials: KE
authors.lastname: Yun
authors.forename: S H
authors.initials: SH
authors.lastname: Cho
authors.forename: E Y
authors.initials: EY
authors.lastname: Choi
authors.forename: S Y
authors.initials: SY
authors.lastname: Lee
authors.forename: J H
authors.initials: JH
authors.lastname: Kim
authors.forename: H N
authors.initials: HN
authors.lastname: Sung
authors.forename: J H
authors.initials: JH
authors.lastname: Kim
authors.forename: S I
authors.initials: SI
authors.lastname: Choi
authors.forename: Y S
authors.initials: YS
authors.lastname: Yoon
authors.forename: E S
authors.initials: ES
authors.lastname: Lee
authors.forename: H R
authors.initials: HR
authors.lastname: Song
authors.forename: S C
authors.initials: SC
authors.lastname: Bae
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D015992:Body Mass Index; D005260:Female; D006801:Humans; D008297:Male; D024821:Metabolic Syndrome / Q000523:psychology*; D008875:Middle Aged; D009765:Obesity / Q000523:psychology*; D011788:Quality of Life; D055815:Young Adult