Self-Reported Sitting Time in New York City Adults, The Physical Activity and Transit Survey, 2010-2011
Self-Reported Sitting Time in New York City Adults, The Physical Activity and Transit Survey, 2010-2011
ORIGINAL RESEARCH — Volume 12 — May 28, 2015
Stella S. Yi, PhD, MPH; Katherine F. Bartley, PhD; Melanie J. Firestone, MPH; Karen K. Lee, MD; Donna L. Eisenhower, PhD
Suggested citation for this article: Yi SS, Bartley KF, Firestone MJ, Lee KK, Eisenhower DL. Self-Reported Sitting Time in New York City Adults, The Physical Activity and Transit Survey, 2010–2011. Prev Chronic Dis 2015;12:140488. DOI: http://dx.doi.org/10.5888/pcd12.140488.
MEDSCAPE CME
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Release date: May 28, 2015; Expiration date: May 28, 2016
Learning Objectives
Upon completion of this activity, participants will be able to:
- Evaluate the potential health impact of sitting time
- Distinguish mean durations of daily sitting time in the current study
- Assess variables associated with higher mean durations of self-reported sitting time in the current study
- Assess variables associated with higher mean durations of accelerometer-reported sitting time in the current study
EDITORS
Camille Martin, Editor, Preventing Chronic Disease. Disclosure: Camille Martin has disclosed no relevant financial relationships.
Camille Martin, Editor, Preventing Chronic Disease. Disclosure: Camille Martin has disclosed no relevant financial relationships.
CME AUTHOR
Charles P. Vega, MD, Clinical Professor of Family Medicine, University of California, Irvine
Disclosure: Charles P. Vega, MD, has disclosed the following relevant financial relationships:
Served as an advisor or consultant for: Lundbeck, Inc; McNeil Pharmaceuticals; Takeda Pharmaceuticals North America, Inc.
Charles P. Vega, MD, Clinical Professor of Family Medicine, University of California, Irvine
Disclosure: Charles P. Vega, MD, has disclosed the following relevant financial relationships:
Served as an advisor or consultant for: Lundbeck, Inc; McNeil Pharmaceuticals; Takeda Pharmaceuticals North America, Inc.
AUTHORS AND CREDENTIALS
Stella S. Yi, PhD, MPH, Department of Population Health, New York University School of Medicine, New York, New York. Katherine F. Bartley, Melanie J. Firestone, Karen K. Lee, Donna L. Eisenhower, New York City Department of Health and Mental Hygiene, New York, New York.
Disclosures: Stella S. Yi, PhD, MPH; Katherine F. Bartley, PhD; Melanie J. Firestone, MPH; Karen K. Lee, MD; Donna L. Eisenhower, PhD have disclosed no relevant financial relationships.
Stella S. Yi, PhD, MPH, Department of Population Health, New York University School of Medicine, New York, New York. Katherine F. Bartley, Melanie J. Firestone, Karen K. Lee, Donna L. Eisenhower, New York City Department of Health and Mental Hygiene, New York, New York.
Disclosures: Stella S. Yi, PhD, MPH; Katherine F. Bartley, PhD; Melanie J. Firestone, MPH; Karen K. Lee, MD; Donna L. Eisenhower, PhD have disclosed no relevant financial relationships.
PEER REVIEWED
Abstract
Introduction
Recent studies have demonstrated the negative health consequences associated with extended sitting time, including metabolic disturbances and decreased life expectancy. The objectives of this study were to characterize sitting time in an urban adult population and assess the validity of a 2-question method of self-reported sitting time.
Recent studies have demonstrated the negative health consequences associated with extended sitting time, including metabolic disturbances and decreased life expectancy. The objectives of this study were to characterize sitting time in an urban adult population and assess the validity of a 2-question method of self-reported sitting time.
Methods
The New York City Health Department conducted the 2010–2011 Physical Activity and Transit Survey (N = 3,597); a subset of participants wore accelerometers for 1 week (n = 667). Self-reported sitting time was assessed from 2 questions on time spent sitting (daytime and evening hours). Sedentary time was defined as accelerometer minutes with less than 100 counts on valid days. Descriptive statistics were used to estimate the prevalence of sitting time by demographic characteristics. Validity of sitting time with accelerometer-measured sedentary time was assessed using Spearman’s correlation and Bland-Altman techniques. All data were weighted to be representative of the New York City adult population based on the 2006–2008 American Community Survey.
The New York City Health Department conducted the 2010–2011 Physical Activity and Transit Survey (N = 3,597); a subset of participants wore accelerometers for 1 week (n = 667). Self-reported sitting time was assessed from 2 questions on time spent sitting (daytime and evening hours). Sedentary time was defined as accelerometer minutes with less than 100 counts on valid days. Descriptive statistics were used to estimate the prevalence of sitting time by demographic characteristics. Validity of sitting time with accelerometer-measured sedentary time was assessed using Spearman’s correlation and Bland-Altman techniques. All data were weighted to be representative of the New York City adult population based on the 2006–2008 American Community Survey.
Results
Mean daily self-reported sitting time was 423 minutes; mean accelerometer-measured sedentary time was 490 minutes per day (r = 0.32, P < .001). The mean difference was 49 minutes per day (limits of agreement: −441 to 343). Sitting time was higher in respondents at lower poverty and higher education levels and lower in Hispanics and people who were foreign-born.
Mean daily self-reported sitting time was 423 minutes; mean accelerometer-measured sedentary time was 490 minutes per day (r = 0.32, P < .001). The mean difference was 49 minutes per day (limits of agreement: −441 to 343). Sitting time was higher in respondents at lower poverty and higher education levels and lower in Hispanics and people who were foreign-born.
Conclusion
Participants of higher socioeconomic status, who are not typically the focus of health disparities–related research, had the highest sitting times; Hispanics had the lowest levels. Sitting time may be accurately assessed by self-report with the 2-question method for population surveillance but may be limited in accurately characterizing individual-level behavior.
Participants of higher socioeconomic status, who are not typically the focus of health disparities–related research, had the highest sitting times; Hispanics had the lowest levels. Sitting time may be accurately assessed by self-report with the 2-question method for population surveillance but may be limited in accurately characterizing individual-level behavior.
Acknowledgments
The authors thank Brett Wyker, Stephen Immerwahr, and Tamar Adjoian for their help during the study setup, on data processing and analysis, and with manuscript preparation. The original PAT Survey was funded through the Centers for Disease Control and Prevention, Communities Putting Prevention to Work (CPPW) initiative. The biometric measurement was funded as an expansion to this initiative through the CPPW Obesity Supplemental Evaluation Activities grant. The New York University Center for the Study of Asian American Health is supported by National Institutes of Health/National Institute on Minority Health and Health Disparities cooperative agreement no. 2P60MD000538-10. Donna Eisenhower was employed with the New York City Department of Health and Mental Hygiene during the development of the manuscript for this article and is now an independent consultant.
Author Information
Corresponding Author: Stella Yi, PhD, MPH, New York University School of Medicine, Department of Population Health, 550 First Ave, VZN Suite No. 844, 8th Floor, New York, NY 10016. Telephone: 212-263-5163. Email: stella.yi@nyumc.org.
Author Affiliations: Katherine F. Bartley, Melanie J. Firestone, Karen K. Lee, Donna L. Eisenhower, New York City Department of Health and Mental Hygiene, New York, New York.
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