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Screen-Based Sedentary Behaviors and Their Association With Metabolic Syndrome Components Among Adults in Mexico

Supporting Files Public Domain
File Language:
English


Details

  • Journal Article:
    Preventing Chronic Disease (PCD)
  • Personal Author:
  • Description:
    Introduction

    Approximately 25% of the adult population worldwide and 49.8% of Mexican adults have metabolic syndrome. Metabolic syndrome is the result of unhealthy dietary and sleeping patterns, sedentary behaviors, and physical inactivity. The objective of our study was to evaluate the association between sedentary behaviors as screen-based sedentary time (SBST) and each component of metabolic syndrome among adults who participated in the Mexico National Survey of Health and Nutrition Mid-way 2016.

    Methods

    We analyzed sociodemographic, clinical, and physical activity data from 3,166 adults aged 20 years or older. The International Physical Activity Questionnaire was used to evaluate sedentary behavior. SBST was obtained by counting minutes per week spent watching television, playing video games, and interacting with computers and smartphones. We used Poisson regression to estimate the prevalence ratio of time in front of screens as a continuous variable and its association with metabolic syndrome.

    Results

    The mean (SD) hours per day of SBST in men was 3.6 (0.4) and in women was 2.8 (0.2). The prevalence of metabolic syndrome was 59.6%. In men, the risk for metabolic syndrome increased 4% (P < .05) for each hour of SBST. Similarly, for each hour of SBST, the risk of abdominal obesity increased by 4% (P < .01). In women, we observed that the risk of hypertension or high-density lipoprotein cholesterol deficiency increased for each hour of SBST, and the risk of abdominal obesity increased for each hour of SBST in those who were inactive.

    Conclusion

    Sedentary behavior based on screen time is associated with metabolic syndrome and its components among Mexicans, depending on hours of sleep. Current public health policies should consider strategies for reducing SBST.

  • Subjects:
  • Source:
    Prev Chronic Dis. 2021; 18
  • DOI:
  • ISSN:
    1545-1151
  • Pubmed ID:
    34735313
  • Pubmed Central ID:
    PMC8588869
  • Document Type:
  • Volume:
    18
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:c5c721d2eaa4672e9b0e09f8fc8401611027ca32427af28410d4ed590259df61e92ae0e61a583e893612621d7a461ded41f2e97f319c61d16485907d026f3c60
  • Download URL:
  • File Type:
    Filetype[PDF - 593.68 KB ]
File Language:
English
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