Cited by 292Physical Activity and HealthContext-Aware Activity Recognition SystemsObesity, Physical Activity, Diet

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Sedentary Behavior, Physical Activity, and Markers of Health in Older Adults

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GENNUSO, KEITH P., GANGNON, RONALD E., MATTHEWS, CHARLES E., THRAEN-BOROWSKI, KEITH M., COLBERT, LISA H.·2013·Medicine & Science in Sports & Exercise

DOI 10.1249/mss.0b013e318288a1e5PMC PMC5764165

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Abstract

INTRODUCTION: The purpose of this study was to examine the association between sedentary behavior (SB), cardiometabolic risk factors, and self-reported physical function by level of moderate-vigorous physical activity (MVPA). METHODS: Cross-sectional analysis was completed on 1914 older adults age ≥ 65 yr from the 2003-2006 U.S. National Health and Nutrition Examination Survey. MVPA and SB were derived from ActiGraph accelerometers worn for 1 wk. MVPA was categorized as sufficient to meet the current U.S. guidelines (≥ 150 min · wk(-1)) or not; SB was split into quartiles. Various biomarkers were examined in laboratory analyses and physical exams, and the number of functional limitations was self-reported. Statistical interaction between SB and MVPA on the biomarker associations was the primary analysis, followed by an examination of their independent associations with relevant covariate adjustment. RESULTS: Average SB was 9.4 ± 2.3 h · d(-1) (mean ± SD), and approximately 35% were classified as sufficiently active. Overall, no significant meaningful statistical interactions were found between SB and MVPA for any of the outcomes; however, strong independent positive associations were found between SB and weight (P < 0.01), body mass index (P < 0.01), waist circumference (P < 0.01), C-reactive protein (P < 0.01), plasma glucose (P = 0.04), and number of functional limitations (P < 0.01) after adjustment for MVPA. Similarly, MVPA was negatively associated with weight (P = 0.01), body mass index (P < 0.01), waist circumference (P < 0.01), diastolic blood pressure (P = 0.04), C-reactive protein (P < 0.01), and number of functional limitations (P < 0.01) after adjustment for SB. CONCLUSIONS: The results suggest that sufficient MVPA did not ameliorate the negative associations between SB and cardiometabolic risk factors or functional limitations in the current sample and that there was independence on a multiplicative scale in their associations with the outcomes examined. Thus, older adults may benefit from the joint prescription to accumulate adequate MVPA and avoid prolonged sitting.

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Authors: GENNUSO, K. P., GANGNON, R. E., MATTHEWS, C. E., THRAEN-BOROWSKI, K. M., & COLBERT, L. H.
Affiliations: University of Wisconsin–Madison (US)
National Cancer Institute (US)
ORCID: GENNUSO, KEITH P.
GANGNON, RONALD E.
MATTHEWS, CHARLES E.
THRAEN-BOROWSKI, KEITH M.
Venue: Medicine & Science in Sports & Exercise
Publisher: Ovid Technologies (Wolters Kluwer Health)
Published: 2013-08
Volume: 45
Issue: 8
Pages: 1493-1500
ISSN: 0195-9131 (ISSN-L)
DOI: 10.1249/mss.0b013e318288a1e5
PMC: PMC5764165
OpenAlex: W2323944228
Cited by: 292
References: 25
Citations by year: 2026: 9 · 2025: 10 · 2024: 14 · 2023: 15 · 2022: 11 · 2021: 26 · 2020: 34 · 2019: 28 · 2018: 32 · 2017: 27 · 2016: 26 · 2015: 32 · 2014: 25 · 2013: 3
FWCI: 19.96
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: Medicine & Science in Sports & Exercise (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Funders: National Institutes of Health (Z99 CA999999)
Topics: Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
Keywords: sedentary behavior, moderate-to-vigorous physical activity, older adults, cardiometabolic risk factors, functional limitations, C-reactive protein, body mass index, waist circumference, plasma glucose, diastolic blood pressure, physical function, sitting time, biomarkers
MeSH terms: Adult, Aged, Cardiovascular System, Cross-Sectional Studies, Female, Health Status Indicators, Health Surveys, Humans, Male, Middle Aged, Risk Factors, United States, Biomarkers, Exercise, Risk Assessment, Sedentary Behavior

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Sedentary Behavior, Physical Activity, and Markers of Health in Older Adults

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