» Articles » PMID: 18303006

Amount of Time Spent in Sedentary Behaviors in the United States, 2003-2004

Overview
Journal Am J Epidemiol
Specialty Public Health
Date 2008 Feb 28
PMID 18303006
Citations 1125
Authors
Affiliations
Soon will be listed here.
Abstract

Sedentary behaviors are linked to adverse health outcomes, but the total amount of time spent in these behaviors in the United States has not been objectively quantified. The authors evaluated participants from the 2003-2004 National Health and Nutrition Examination Survey aged >/=6 years who wore an activity monitor for up to 7 days. Among 6,329 participants with at least one 10-hour day of monitor wear, the average monitor-wearing time was 13.9 hours/day (standard deviation, 1.9). Overall, participants spent 54.9% of their monitored time, or 7.7 hours/day, in sedentary behaviors. The most sedentary groups in the United States were older adolescents and adults aged >/=60 years, and they spent about 60% of their waking time in sedentary pursuits. Females were more sedentary than males before age 30 years, but this pattern was reversed after age 60 years. Mexican-American adults were significantly less sedentary than other US adults, and White and Black females were similarly sedentary after age 12 years. These data provide the first objective measure of the amount of time spent in sedentary behavior in the US population and indicate that Americans spend the majority of their time in behaviors that expend very little energy.

Citing Articles

Methodological Choices on 24-h Movement Behavior Assessment by Accelerometry: A Scoping Review.

Rodrigues B, Videira-Silva A, Lopes L, Sousa-Sa E, Vale S, Cliff D Sports Med Open. 2025; 11(1):25.

PMID: 40080301 PMC: 11906950. DOI: 10.1186/s40798-025-00820-1.


A Multi-Level Approach to Childhood Obesity Prevention and Management: Lessons from Japan and the United States.

Oudat Q, Messiah S, Ghoneum A Nutrients. 2025; 17(5).

PMID: 40077708 PMC: 11902064. DOI: 10.3390/nu17050838.


Measurement of Sitting Time in Older Adults With and Without Alzheimer's Disease.

Watts A, Garnier-Villarreal M, Gardiner P J Meas Phys Behav. 2025; 1(2):70-78.

PMID: 40027224 PMC: 11870666. DOI: 10.1123/jmpb.2018-0002.


Association between meeting the 24-hour movement guidelines and cardiometabolic syndrome in Korean adults.

Choi Y, Kang S, Kim J Sci Rep. 2025; 15(1):6879.

PMID: 40011645 PMC: 11865427. DOI: 10.1038/s41598-025-91398-x.


Isotemporal substitution of sedentary time with different physical activity intensities and sleep in obesity parameters across eight latin American countries.

de Victo E, Sales D, Christofaro D, Fisberg M, Kovalskys I, Del Val Martin P Sci Rep. 2025; 15(1):4081.

PMID: 39900618 PMC: 11790965. DOI: 10.1038/s41598-025-88230-x.


References
1.
Pate R, Stevens J, Pratt C, Sallis J, Schmitz K, Webber L . Objectively measured physical activity in sixth-grade girls. Arch Pediatr Adolesc Med. 2006; 160(12):1262-8. PMC: 2443855. DOI: 10.1001/archpedi.160.12.1262. View

2.
Andersen R, Crespo C, Bartlett S, Cheskin L, Pratt M . Relationship of physical activity and television watching with body weight and level of fatness among children: results from the Third National Health and Nutrition Examination Survey. JAMA. 1998; 279(12):938-42. DOI: 10.1001/jama.279.12.938. View

3.
Grant P, Ryan C, Tigbe W, Granat M . The validation of a novel activity monitor in the measurement of posture and motion during everyday activities. Br J Sports Med. 2006; 40(12):992-7. PMC: 2577473. DOI: 10.1136/bjsm.2006.030262. View

4.
Trost S, McIver K, Pate R . Conducting accelerometer-based activity assessments in field-based research. Med Sci Sports Exerc. 2005; 37(11 Suppl):S531-43. DOI: 10.1249/01.mss.0000185657.86065.98. View

5.
Levine J, Lanningham-Foster L, McCrady S, Krizan A, Olson L, Kane P . Interindividual variation in posture allocation: possible role in human obesity. Science. 2005; 307(5709):584-6. DOI: 10.1126/science.1106561. View