Cited by 83Physical Activity and HealthAdipokines, Inflammation, and Metabolic DiseasesObesity, Physical Activity, Diet

Sedentary behavior, physical activity, and concentrations of insulin among US adults

Ford, Earl S., Li, Chaoyang, Zhao, Guixiang, Pearson, William S., Tsai, James, Churilla, James R.·2010·Metabolism

Abstract

Time spent watching television has been linked to obesity, metabolic syndrome, and diabetes, all conditions characterized to some degree by hyperinsulinemia and insulin resistance. However, limited evidence relates screen time (watching television or using a computer) directly to concentrations of insulin. We examined the cross-sectional associations between time spent watching television or using a computer, physical activity, and serum concentrations of insulin using data from 2800 participants aged at least 20 years of the 2003-2006 National Health and Nutrition Examination Survey. The amount of time spent watching television and using a computer as well as physical activity was self-reported. The unadjusted geometric mean concentration of insulin increased from 6.2 microU/mL among participants who did not watch television to 10.0 microU/mL among those who watched television for 5 or more hours per day (P = .001). After adjustment for age, sex, race or ethnicity, educational status, concentration of cotinine, alcohol intake, physical activity, waist circumference, and body mass index using multiple linear regression analysis, the log-transformed concentrations of insulin were significantly and positively associated with time spent watching television (P = < .001). Reported time spent using a computer was significantly associated with log-transformed concentrations of insulin before but not after accounting for waist circumference and body mass index. Leisure-time physical activity but not transportation or household physical activity was significantly and inversely associated with log-transformed concentrations of insulin. Sedentary behavior, particularly the amount of time spent watching television, may be an important modifiable determinant of concentrations of insulin.

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Crossref · 10.1016/j.metabol.2009.11.020

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  • Four or more hours (versus ≤1) of screen-based sedentary behavior per day was associated with an adjusted twofold greater prevalence (PR=2.09; 95% CI 1.16, 3.75) of insulin levels indicative of hyperinsulinemia.

    “while four or more hours (versus ≤1) of screen-based sedentary behavior per day (TV and recreational computer use) was associated with an adjusted twofold greater prevalence (Prevalence Ratio = 2.09; 95 % CI = 1.16, 3.75) of insulin levels indicative of hyperinsulinemia (N20 μU/mL) [74].”

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References 27 · Cited by 83

Authors
Ford, E. S., Li, C., Zhao, G., Pearson, W. S., Tsai, J., & Churilla, J. R.
Affiliations
  • Centers for Disease Control and Prevention (US)
  • University of North Florida (US)
Corresponding author
Ford, Earl S.
Venue
Metabolism
Publisher
Elsevier BV
Published
2010-09
Volume
59
Issue
9
Pages
1268-1275
ISSN
0026-0495 (ISSN-L)
OpenAlex
W2095556806
Cited by
83
References
27
Citations by year
2025: 1 · 2024: 5 · 2023: 2 · 2022: 3 · 2021: 3 · 2020: 3 · 2019: 4 · 2018: 6 · 2017: 7 · 2016: 6 · 2015: 6 · 2014: 7 · 2013: 4 · 2012: 13
FWCI
6.49
Type
journal article
Language
en
Open access
closed
Locations
  • Metabolism (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
Keywords
sedentary behavior, television viewing, computer use, screen time, physical activity, serum insulin, hyperinsulinemia, insulin resistance, waist circumference, body mass index, obesity, metabolic syndrome, diabetes mellitus
MeSH terms
Adult, Aged, Aged, 80 and over, Blood Glucose, Cross-Sectional Studies, Female, Health Surveys, Humans, Insulin, Male, Middle Aged, Motor Activity, Television, United States, Body Mass Index, Linear Models, Sedentary Behavior

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