Nancy M. Gell

Dr. Nancy M. Gell


Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 May 2015 in Journal of the American Geriatrics Society
Verified
Journal Article
Open access
PDF file
NGNancy M. Gell
Nancy M. Gell
RWRobert B. Wallace
Robert B. Wallace
ALAndrea Z. LaCroix
Andrea Z. LaCroix
TMTracy M. Mroz
Tracy M. Mroz
KPKushang Patel
Kushang Patel
Objectives: To examine the prevalence of mobility device use in community‐dwelling older adults in the United States and to investigate the incidence of falls and worry about falling according to type and number of mobility devices used. Design: Analysis of cross‐sectional and longitudinal data from the 2011–12 National Health and Aging Trends Study. Setting: In‐person interviews in the homes of study participants. Participants: Nationally representative sample of Medicare beneficiaries (n = 7,609). Measurements: Participants were asked about mobility device use (e.g., canes, walkers, wheelchairs and scooters) in the last month, 1‐year fall history and worry about falling. Results: Twenty‐four percent of adults aged 65 and older reported mobility device use in 2011, and 9.3% reported using multiple devices within the last month. Mobility device use increased with advancing age and was associated with nonwhite race and ethnicity, female sex, lower education level, greater multimorbidity, and obesity (all P < .001). Adjusting for demographic and health characteristics and physical function, the incidence of falls and recurrent falls was not associated with the use of multiple devices or any particular type of mobility device. Activity‐limiting worry about falling was significantly higher in cane‐only users than in nonusers. Conclusion: The percentage of older adults reporting mobility device use is higher than results from previous national surveys, and multiple device use is common in those who use any device. Mobility device use is not associated with greater incidence of falls. Cane‐only users may compensate for worry about falling by limiting activity.

13 December 2016 in Supportive Care in Cancer
Verified
Journal Article
Closed access
PDF file
NGNancy M. Gell
Nancy M. Gell
KGKristin W. Grover
Kristin W. Grover
MHMorgan Humble
Morgan Humble
MSMichelle Sexton
Michelle Sexton
KDKim Dittus
Kim Dittus

26 May 2021 in PLOS ONE
Verified
Journal Article
Open access
PDF file
YBYang Bai
Yang Bai
CTConnie Tompkins
Connie Tompkins
NGNancy M. Gell
Nancy M. Gell
DDDakota Dione
Dakota Dione
TZTao Zhang
Tao Zhang
Wonwoo ByunWonwoo Byun
Wonwoo Byun
Objectives: The aim of this study was to evaluate the accuracy of three consumer-based activity monitors, Fitbit Charge 2, Fitbit Alta, and the Apple Watch 2, all worn on the wrist, in estimating step counts, moderate-to-vigorous minutes (MVPA), and heart rate in a free-living setting. Methods: Forty-eight participants (31 females, 17 males; ages 18–59) were asked to wear the three consumer-based monitors mentioned above on the wrist, concurrently with a Yamax pedometer as the criterion for step count, an ActiGraph GT3X+ (ActiGraph) for MVPA, and a Polar H7 chest strap for heart rate. Participants wore the monitors for a 24-hour free-living condition without changing their usual active routine. MVPA was calculated in bouts of ≥10 minutes. Pearson correlation, mean absolute percent error (MAPE), and equivalence testing were used to evaluate the measurement agreement. Results: The average step counts recorded for each device were as follows: 11,734 (Charge2), 11,922 (Alta), 11,550 (Apple2), and 10,906 (Yamax). The correlations in steps for the above monitors ranged from 0.84 to 0.95 and MAPE ranged from 17.1% to 35.5%. For MVPA minutes, the average were 76.3 (Charge2), 63.3 (Alta), 49.5 (Apple2), and 47.8 (ActiGraph) minutes accumulated in bouts of 10 or greater minutes. The correlation from MVPA estimation for above monitors were 0.77, 0.91, and 0.66. MAPE from MVPA estimation ranged from 44.7% to 55.4% compared to ActiGraph. For heart rate, correlation for Charge2 and Apple2 was higher for sedentary behavior and lower for MVPA. The MAPE ranged from 4% to 16%. Conclusion: All three consumer monitors estimated step counts fairly accurately, and both the Charge2 and Apple2 reported reasonable heart rate estimation. However, all monitors substantially underestimated MVPA in free-living settings.

27 November 2019 in Journal of Cancer Survivorship
Verified
Journal Article
Closed access
PDF file
NGNancy M. Gell
Nancy M. Gell
KGKristin W. Grover
Kristin W. Grover
LSLiliane Savard
Liliane Savard
KDKim Dittus
Kim Dittus

1 April 2015 in Disability and Health Journal
Verified
Journal Article
Closed access
NGNancy M. Gell
Nancy M. Gell
DRDori E. Rosenberg
Dori E. Rosenberg
JCJordan Carlson
Jordan Carlson
JKJacqueline Kerr
Jacqueline Kerr
BBBasia Belza
Basia Belza

12 December 2018 in Journal of the American Geriatrics Society
Verified
Journal Article
Closed access
PDF file
KPKushang Patel
Kushang Patel
JGJack M. Guralnik
Jack M. Guralnik
EPElizabeth A. Phelan
Elizabeth A. Phelan
NGNancy M. Gell
Nancy M. Gell
RWRobert B. Wallace
Robert B. Wallace
DTDennis C. Turk
Dennis C. Turk