Gender-differences in predictors for time to metabolic syndrome resolution: A secondary analysis of a randomized controlled trial study.

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
Read Online Read More Add to Saved list
  • Author(s): Choe SA;Choe SA; Yoon NH; Yoon NH; Yoo S; Yoo S; Yoo S; Kim H; Kim H
  • Source:
    PloS one [PLoS One] 2020 Jun 25; Vol. 15 (6), pp. e0234035. Date of Electronic Publication: 2020 Jun 25 (Print Publication: 2020).
  • Publication Type:
    Journal Article; Randomized Controlled Trial; Research Support, Non-U.S. Gov't
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
    • Publication Information:
      Original Publication: San Francisco, CA : Public Library of Science
    • Subject Terms:
      Sex Characteristics*; Metabolic Syndrome/*physiopathology; Female ; Humans ; Male ; Metabolic Syndrome/diagnosis ; Metabolic Syndrome/epidemiology ; Middle Aged ; Probability
    • Abstract:
      Understanding gender differences in health-related behaviors and their impacts is a crucial aspect of effective primary care. We studied gender-based differences in predictors of metabolic syndrome (MetS) resolution among newly diagnosed MetS patients. This study was a secondary analysis of a prospective clinical trial study comprising of 637 middle-aged and older adults (226 men and 411 women) who underwent a regular health checkup and were newly diagnosed with MetS at 16 different health clinics of 14 metropolitan cities and provinces. We conducted Cox proportional hazard analysis to estimate cumulative probability of MetS resolution within a 12-month observation period. Among the 637 patients, 47.6% of participants achieved MetS resolution. The resolution rate was similar among men and women (44.7% and 49.1%, respectively, P = 0.320). Low household income (Hazard ratio = 2.62, 95% confidence interval: 1.13-6.08) and current employment (2.29, 1.26-4.13) were associated with a higher cumulative probability of MetS resolution in men than in women. For women, however, longer sleeping hours (1.18, 1.04-1.34) and living with a partner (1.58, 1.06-2.35) were positive predictors of MetS resolution. Being overweight (0.63, 0.44-0.89) was associated with lower cumulative probability of MetS resolution in women than in men. The factors associated with cumulative probability of MetS resolution within the 12-month follow-up were different between men and women. These findings facilitate further exploration on gender-based differences in risk factors for less optimal improvements in MetS.
      Competing Interests: The authors have declared that no competing interests exist.
    • References:
      PLoS One. 2018 May 2;13(5):e0196719. (PMID: 29718952)
      Diabetes Care. 2011 Jun;34(6):1323-8. (PMID: 21505206)
      Arch Intern Med. 2005 May 9;165(9):1022-7. (PMID: 15883241)
      BMC Public Health. 2016 Apr 01;16:296. (PMID: 27039079)
      Asia Pac J Clin Nutr. 2011;20(2):292-300. (PMID: 21669598)
      Mayo Clin Proc. 2008 Aug;83(8):897-907. (PMID: 18674474)
      Ann Intern Med. 2005 Apr 19;142(8):611-9. (PMID: 15838067)
      JAMA. 2015 May 19;313(19):1973-4. (PMID: 25988468)
      Diabetes Metab Syndr Obes. 2010 Nov 02;3:373-85. (PMID: 21437107)
      Psychol Health Med. 2013;18(1):47-55. (PMID: 22533482)
      J Fam Psychol. 2010 Jun;24(3):367-70. (PMID: 20545410)
      Cardiovasc Drugs Ther. 2015 Aug;29(4):329-38. (PMID: 25994831)
      Asia Pac Psychiatry. 2015 Dec;7(4):345-54. (PMID: 26403310)
      Int J Environ Res Public Health. 2018 Oct 05;15(10):. (PMID: 30301155)
      BMC Public Health. 2017 Jan 21;17(1):101. (PMID: 28109251)
      Diabetes Care. 2004 Oct;27(10):2444-9. (PMID: 15451914)
      Diabetes Care. 2002 Nov;25(11):2016-21. (PMID: 12401749)
      Rev Diabet Stud. 2017 Summer-Fall;14(2-3):279-294. (PMID: 29145538)
      Circulation. 2002 Dec 17;106(25):3143-421. (PMID: 12485966)
      J Obes. 2011;2011:790683. (PMID: 21113308)
      J Am Heart Assoc. 2016 Aug 03;5(8):. (PMID: 27487829)
      Health Expect. 2008 Dec;11(4):321-30. (PMID: 18684133)
      JAMA. 2010 Jan 20;303(3):235-41. (PMID: 20071471)
      J Korean Med Sci. 2015 Aug;30(8):1092-100. (PMID: 26240487)
      Circulation. 2009 Oct 20;120(16):1640-5. (PMID: 19805654)
      Circulation. 2012 Mar 6;125(9):1157-70. (PMID: 22392863)
      MMWR Morb Mortal Wkly Rep. 2009 Jul 17;58(27):740-4. (PMID: 19609247)
      Eval Program Plann. 2015 Aug;51:8-16. (PMID: 25559947)
      Diab Vasc Dis Res. 2008 Mar;5(1):36-43. (PMID: 18398811)
    • Publication Date:
      Date Created: 20200626 Date Completed: 20200824 Latest Revision: 20200824
    • Publication Date:
      20240105
    • Accession Number:
      PMC7316247
    • Accession Number:
      10.1371/journal.pone.0234035
    • Accession Number:
      32584834