Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 12

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Feasibility, Reliability, and Validity of the MotionWatch 8 to Evaluate Physical Activity Among Older Adults With and Without Cognitive Impairment in Assisted Living Settings

Resnick, Barbara, Boltz, Marie, Galik, Elizabeth, Fix, Steven, Zhu, Shijun·2021·Journal of Aging and Physical Activity
DOI 10.1123/japa.2020-0198
Open this paper in CoChat — free account

Abstract

This study tested the feasibility, reliability, and validity of the MotionWatch 8 among assisted living residents with and without cognitive impairment. Data from the Dissemination and Implementation of Function Focused Care in Assisted Living Using the Evidence Integration Triangle study were used. The sample included 781 individuals from 85 facilities with a mean age of 89.48 (SD = 7.43) years. The majority were female (71%), White (97%), and overall (44%) had cognitive impairment. A total of 70% were willing to wear the MotionWatch 8. Reliability was supported as there was no difference in time spent in activity across three consecutive wear days. Validity was based on hypothesis testing, and function was associated with counts of activity at baseline (p = .001) and 4 months (p = .001). Those with cognitive impairment engaged in less physical activity (p = .04). The MotionWatch 8 is a useful option for measuring physical activity in older adults with and without cognitive impairment.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1123/japa.2020-0198

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Research works printed but not linked: 70

  1. Bai, 2016, An activity index for raw accelerometry data and its comparison with other activity metrics, PLoS One,, 11, e0160644, 10.1371/journal.pone.0160644 · DOI
  2. Landry, 2015, Measuring physical activity in older adults: Calibrating cut-points for the MotionWatch 8, Frontiers in Aging Neuroscience,, 7,, 165, 10.3389/fnagi.2015.00165 · DOI
  3. Fleiner, 2019, Prominent physical inactivity in acute dementia care: Psychopathology seems to be more important than the dose of sedative medication, International Journal of Geriatric Psychiatry,, 34, 308, 10.1002/gps.5021 · DOI
  4. Ridgers, 2016, Feasibility and effectiveness of using wearable activity trackers in youth: A systematic review, JMIR mHealth uHealth,, 4, e129, 10.2196/mhealth.6540 · DOI
  5. Landry, 2015, Measuring physical activity in older adults: Calibrating cut-points for the MotionWatch 8, Frontiers in Aging Neuroscience,, 7,, 165, 10.3389/fnagi.2015.00165 · DOI
  6. Chen, 2019, Cognitive function, consent for participation, and compliance with wearable device protocols in older adults, The Journals of Gerontology, Series A: Biological Sciences & Medical Sciences,, 74, 269, 10.1093/gerona/gly032 · DOI
  7. Kochersberger, 2016, The reliability, validity, and stability of a measure of physical activity in the elderly, Archives of Physical Medicine and Rehabilitation,, 77, 793, 10.1016/S0003-9993(96)90258-0 · DOI
  8. Cabanas-Sanchez, 2020, Twenty four-hour activity cycle in older adults using wrist-worn accelerometers: The seniors-ENRICA-2 study, Scandinavian Journal of Medicine Science & Sports,, 30, 700, 10.1111/sms.13612 · DOI
  9. Laybourne, 2011, Predicting habitual physical activity using coping strategies in older fallers engaged in falls prevention exercise, Journal of Aging and Physical Activity,, 19, 189, 10.1123/japa.19.3.189 · DOI
  10. Borson, 2003, The mini-cog as a screen for dementia: Validation in a population-based sample, Journal of the American Geriatrics Society,, 51, 1451, 10.1046/j.1532-5415.2003.51465.x · DOI · Paper page
  11. Yi-Pei, 2019, Physical activity, muscle strength, and functional fitness: Comparing older adults with and without Alzheimer dementia, Topics in Geriatric Rehabilitation,, 35, 280, 10.1097/TGR.0000000000000246 · DOI
  12. Hawes, 2000, High service or high privacy assisted living facilities, their residents and staff: Results from a national survey
  13. Dieu, 2017, Physical activity using wrist-worn accelerometers: Comparison of dominant and non-dominant wrist, Clinical Physiology and Functional Imaging,, 37, 525, 10.1111/cpf.12337 · DOI
  14. Galik, 2015, Testing Function Focused Care in dementia specific assisted living settings, The Gerontologist,, 55, S13, 10.1093/geront/gnu173 · DOI
  15. Falck, 2017, Measuring physical activity in older adults using MotionWatch 8 actigraphy: How many days are needed?, Journal of Aging and Physical Activity,, 25, 51, 10.1123/japa.2015-0256 · DOI · Paper page
  16. Resnick, 2011, Restorative care for older adults: A guide for all care settings
  17. Resnick, 2011, Restorative care for older adults: A guide for all care settings
  18. Hawes, 2000, High service or high privacy assisted living facilities, their residents and staff: Results from a national survey
  19. Linn, 1968, Cumulative illness rating scale, Journal of the American Geriatrics Society,, 16, 622, 10.1111/j.1532-5415.1968.tb02103.x · DOI · Paper page
  20. Chen, 2019, Cognitive function, consent for participation, and compliance with wearable device protocols in older adults, The Journals of Gerontology, Series A: Biological Sciences & Medical Sciences,, 74, 269, 10.1093/gerona/gly032 · DOI
  21. Parry, 2019, Physical activity and sedentary behaviour in a residential aged care facility, Australasian Journal on Ageing,, 38, E12, 10.1111/ajag.12589 · DOI
  22. Koo, 2016, A guideline of selecting and reporting intraclass correlation coefficients for reliability research, Journal of Chiropractic Medicine,, 15, 155, 10.1016/j.jcm.2016.02.012 · DOI · Paper page
  23. Linn, 1968, Cumulative illness rating scale, Journal of the American Geriatrics Society,, 16, 622, 10.1111/j.1532-5415.1968.tb02103.x · DOI · Paper page
  24. Troiano, 2014, Evaluation of accelerometer methods for physical activity research, British Journal of Sports Medicine,, 48, 1019, 10.1136/bjsports-2014-093546 · DOI · Paper page
  25. Falck, 2017, Measuring physical activity in older adults using MotionWatch 8 actigraphy: How many days are needed?, Journal of Aging and Physical Activity,, 25, 51, 10.1123/japa.2015-0256 · DOI · Paper page
  26. Cabanas-Sanchez, 2020, Twenty four-hour activity cycle in older adults using wrist-worn accelerometers: The seniors-ENRICA-2 study, Scandinavian Journal of Medicine Science & Sports,, 30, 700, 10.1111/sms.13612 · DOI
  27. Mirelman, 2015, Effects of aging on arm swing during gait: The role of gait speed and dual tasking, PLoS One,, 10, e0136043, 10.1371/journal.pone.0136043 · DOI
  28. Resnick, 2011, Testing the impact of function focused care in assisted living, Journal of the American Geriatrics Society,, 59, 2233, 10.1111/j.1532-5415.2011.03699.x · DOI
  29. Kochersberger, 2016, The reliability, validity, and stability of a measure of physical activity in the elderly, Archives of Physical Medicine and Rehabilitation,, 77, 793, 10.1016/S0003-9993(96)90258-0 · DOI
  30. Sasaki, 2018, Number of days required for reliably estimating physical activity and sedentary behavior from accelerometer data in older adults, Journal of Sports Science,, 36, 1572, 10.1080/02640414.2017.1403527 · DOI
  31. Davies, 2000, Promoting autonomy and independence for older people within nursing practice: An observational study, Journal of Clinical Nursing,, 9, 127, 10.1046/j.1365-2702.2000.00348.x · DOI
  32. Hart, 2011, How many days of monitoring predict physical activity and sedentary behavior in older adults, International Journal of Behavior and Nutrition Physical Activity,, 8, 62, 10.1186/1479-5868-8-62 · DOI · Paper page
  33. Chakravarthy, 2017, Reliability and validity testing of the MotionWatch 8 in older adults, Journal of Nursing Measurement,, 25, 549, 10.1891/1061-3749.25.3.549 · DOI
  34. Hartman, 2018, Dementia patients are more sedentary and less physically active than age-and sex-matched cognitively health older adults, Dementia and Geriatric Cognitive Disorders,, 46, 81, 10.1159/000491995 · DOI
  35. Mahoney, 1965, Functional evaluation: The Barthel Index, Maryland State Medical Journal,, 14, 61
  36. Hart, 2011, How many days of monitoring predict physical activity and sedentary behavior in older adults, International Journal of Behavior and Nutrition Physical Activity,, 8, 62, 10.1186/1479-5868-8-62 · DOI · Paper page
  37. Ridgers, 2016, Feasibility and effectiveness of using wearable activity trackers in youth: A systematic review, JMIR mHealth uHealth,, 4, e129, 10.2196/mhealth.6540 · DOI
  38. Matthews, 2012, Best practices for using physical activity monitors in population-based research, Medicine & Science Sports & Exercise,, 44, S68, 10.1249/MSS.0b013e3182399e5b · DOI · Paper page
  39. Davies, 2000, Promoting autonomy and independence for older people within nursing practice: An observational study, Journal of Clinical Nursing,, 9, 127, 10.1046/j.1365-2702.2000.00348.x · DOI
  40. White, 2019, Estimating energy expenditure from wrist and thigh accelerometry in free-living adults: A doubly labelled water study, International Journal of Obesity and Related Metabolic Disorders,, 43, 2333, 10.1038/s41366-019-0352-x · DOI
  41. Hutto, 2013, Identifying accelerometer nonwear and wear time in older adults, International Journal of Behavior and Nutrition Physical Activity,, 10, 120, 10.1186/1479-5868-10-120 · DOI
  42. Resnick, 2007, Reliability and validity testing of the physical activity survey in long term care (PAS-LTC), Journal of Aging and Physical Activity,, 15, 439, 10.1123/japa.15.4.439 · DOI
  43. Fleiner, 2019, Prominent physical inactivity in acute dementia care: Psychopathology seems to be more important than the dose of sedative medication, International Journal of Geriatric Psychiatry,, 34, 308, 10.1002/gps.5021 · DOI
  44. Zimmerman, 2014, Dementia prevalence and care in assisted living, Health Affairs,, 33, 658, 10.1377/hlthaff.2013.1255 · DOI
  45. Resnick, 2011, Testing the impact of function focused care in assisted living, Journal of the American Geriatrics Society,, 59, 2233, 10.1111/j.1532-5415.2011.03699.x · DOI
  46. Parry, 2019, Physical activity and sedentary behaviour in a residential aged care facility, Australasian Journal on Ageing,, 38, E12, 10.1111/ajag.12589 · DOI
  47. Borson, 2003, The mini-cog as a screen for dementia: Validation in a population-based sample, Journal of the American Geriatrics Society,, 51, 1451, 10.1046/j.1532-5415.2003.51465.x · DOI · Paper page
  48. Ferreira, 2020, An update of the profile of older adults with dementia in Europe: Findings from SHARE, Aging & Mental Health,, 24, 374, 10.1080/13607863.2018.1531385 · DOI
  49. Ferreira, 2020, An update of the profile of older adults with dementia in Europe: Findings from SHARE, Aging & Mental Health,, 24, 374, 10.1080/13607863.2018.1531385 · DOI
  50. Resnick, 2007, Reliability and validity of the evaluation to sign consent measure, The Gerontologist,, 47, 69, 10.1093/geront/47.1.69 · DOI
  51. Laybourne, 2011, Predicting habitual physical activity using coping strategies in older fallers engaged in falls prevention exercise, Journal of Aging and Physical Activity,, 19, 189, 10.1123/japa.19.3.189 · DOI
  52. Hutto, 2013, Identifying accelerometer nonwear and wear time in older adults, International Journal of Behavior and Nutrition Physical Activity,, 10, 120, 10.1186/1479-5868-10-120 · DOI
  53. Galik, 2015, Testing Function Focused Care in dementia specific assisted living settings, The Gerontologist,, 55, S13, 10.1093/geront/gnu173 · DOI
  54. Chakravarthy, 2017, Reliability and validity testing of the MotionWatch 8 in older adults, Journal of Nursing Measurement,, 25, 549, 10.1891/1061-3749.25.3.549 · DOI
  55. Freedson, 1998, Calibration of the Computer Science and Applications, Inc. accelerometer, Medical Science Sports and Exercise,, 30, 777, 10.1097/00005768-199805000-00021 · DOI · Paper page
  56. Hartman, 2018, Dementia patients are more sedentary and less physically active than age-and sex-matched cognitively health older adults, Dementia and Geriatric Cognitive Disorders,, 46, 81, 10.1159/000491995 · DOI
  57. Troiano, 2014, Evaluation of accelerometer methods for physical activity research, British Journal of Sports Medicine,, 48, 1019, 10.1136/bjsports-2014-093546 · DOI · Paper page
  58. Yi-Pei, 2019, Physical activity, muscle strength, and functional fitness: Comparing older adults with and without Alzheimer dementia, Topics in Geriatric Rehabilitation,, 35, 280, 10.1097/TGR.0000000000000246 · DOI
  59. Falck, 2017, Cross sectional relationships of physical activity and sedentary behavior with cognitive function in older adults with probably mild cognitive impairment, Physical Therapy,, 97, 975, 10.1093/ptj/pzx074 · DOI
  60. Mirelman, 2015, Effects of aging on arm swing during gait: The role of gait speed and dual tasking, PLoS One,, 10, e0136043, 10.1371/journal.pone.0136043 · DOI
  61. Mahoney, 1965, Functional evaluation: The Barthel Index, Maryland State Medical Journal,, 14, 61
  62. Sasaki, 2018, Number of days required for reliably estimating physical activity and sedentary behavior from accelerometer data in older adults, Journal of Sports Science,, 36, 1572, 10.1080/02640414.2017.1403527 · DOI
  63. Dieu, 2017, Physical activity using wrist-worn accelerometers: Comparison of dominant and non-dominant wrist, Clinical Physiology and Functional Imaging,, 37, 525, 10.1111/cpf.12337 · DOI
  64. Falck, 2017, Cross sectional relationships of physical activity and sedentary behavior with cognitive function in older adults with probably mild cognitive impairment, Physical Therapy,, 97, 975, 10.1093/ptj/pzx074 · DOI
  65. White, 2019, Estimating energy expenditure from wrist and thigh accelerometry in free-living adults: A doubly labelled water study, International Journal of Obesity and Related Metabolic Disorders,, 43, 2333, 10.1038/s41366-019-0352-x · DOI
  66. Freedson, 1998, Calibration of the Computer Science and Applications, Inc. accelerometer, Medical Science Sports and Exercise,, 30, 777, 10.1097/00005768-199805000-00021 · DOI · Paper page
  67. Resnick, 2007, Reliability and validity testing of the physical activity survey in long term care (PAS-LTC), Journal of Aging and Physical Activity,, 15, 439, 10.1123/japa.15.4.439 · DOI
  68. Zimmerman, 2014, Dementia prevalence and care in assisted living, Health Affairs,, 33, 658, 10.1377/hlthaff.2013.1255 · DOI
  69. Bai, 2016, An activity index for raw accelerometry data and its comparison with other activity metrics, PLoS One,, 11, e0160644, 10.1371/journal.pone.0160644 · DOI
  70. Resnick, 2007, Reliability and validity of the evaluation to sign consent measure, The Gerontologist,, 47, 69, 10.1093/geront/47.1.69 · DOI

Cited by

Metadata

Authors
Resnick, B., Boltz, M., Galik, E., Fix, S., & Zhu, S.
Venue
Journal of Aging and Physical Activity
Publisher
Human Kinetics
Published
2021-06-01
Volume
29
Issue
3
Pages
391-399
ISSN
  • 1063-8652
  • 1543-267X
DOI
10.1123/japa.2020-0198
Cited by
12
References
2

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.