Reliability and Validity of the Japanese Version of the Assessment of Readiness for Mobility Transition (ARMT-J) for Japanese Elderly

Overview

Journal Int J Environ Res Public Health

Publisher MDPI

Specialties Environmental Health
Public Health

Date 2022 Nov 11

PMID 36360838

Authors

Satonori Nasu

Yu Ishibashi

Junichi Ikuta

Shingo Yamane

Ryuji Kobayashi

Affiliations

Soon will be listed here.

Abstract

The Assessment of Readiness for Mobility Transition (ARMT) questionnaire assesses individuals' emotional and attitudinal readiness related to mobility as they age. This study aimed to examine the reliability and validity of the Japanese version of the ARMT (ARMT-J). The ARMT-J and related variables were administered to 173 patients and staff members undergoing rehabilitation at hospitals in Japan. Construct validity was first examined using confirmatory factor analysis (CFA) to confirm cross-cultural validity. For structural validity, the optimal number of factors was confirmed using a Velicer's minimum average partial test and parallel analysis, followed by exploratory factor analysis (EFA). Finally, a CFA was performed using the most appropriate model. Internal consistency, test-retest reliability, standard error of measurement (SEM), and smallest detectable change (SDC) were assessed for reliability. The CFA fit for the factor structure of the original ARMT was low. Therefore, the EFA was conducted with two to four factors. The optimal factor structure was three factors, with a Cronbach's alpha coefficient and Cohen's weighted kappa coefficient of 0.85 and 0.76, respectively. The intraclass correlation coefficient (ICC) of the test-retest was 0.93, the SEM was 0.72, and the SDC was 2.00. The model fit was good for the ARMT-J, with a three-factor structure.

References

Qin W, Xiang X, Taylor H . Driving Cessation and Social Isolation in Older Adults. J Aging Health. 2019; 32(9):962-971. PMC: 7901288. DOI: 10.1177/0898264319870400. View

Qin S, Nelson L, McLeod L, Eremenco S, Coons S . Assessing test-retest reliability of patient-reported outcome measures using intraclass correlation coefficients: recommendations for selecting and documenting the analytical formula. Qual Life Res. 2018; 28(4):1029-1033. PMC: 6439259. DOI: 10.1007/s11136-018-2076-0. View

Wang S, Phillips D, Lee J . Disability prevalence in midlife (aged 55-65 years): Cross-Country comparisons of gender differences and time trends. Womens Midlife Health. 2021; 7(1):1. PMC: 7777402. DOI: 10.1186/s40695-020-00061-0. View

OConnor M, Edwards J, Small B, Andel R . Patterns of level and change in self-reported driving behaviors among older adults: who self-regulates?. J Gerontol B Psychol Sci Soc Sci. 2011; 67(4):437-46. PMC: 3391073. DOI: 10.1093/geronb/gbr122. View

Persson H, Selander H . Transport mobility 5 years after stroke in an urban setting. Top Stroke Rehabil. 2018; 25(3):180-185. DOI: 10.1080/10749357.2017.1419619. View

Al-Hassani S, Alotaibi N . The impact of driving cessation on older Kuwaiti adults: implications to occupational therapy. Occup Ther Health Care. 2014; 28(3):264-76. DOI: 10.3109/07380577.2014.917779. View

OConnor M, Edwards J, Wadley V, Crowe M . Changes in mobility among older adults with psychometrically defined mild cognitive impairment. J Gerontol B Psychol Sci Soc Sci. 2010; 65B(3):306-16. PMC: 2853603. DOI: 10.1093/geronb/gbq003. View

Betz M, Jones J, Petroff E, Schwartz R . "I wish we could normalize driving health:" a qualitative study of clinician discussions with older drivers. J Gen Intern Med. 2013; 28(12):1573-80. PMC: 3832716. DOI: 10.1007/s11606-013-2498-x. View

Jenkinson C, Layte R . Development and testing of the UK SF-12 (short form health survey). J Health Serv Res Policy. 1996; 2(1):14-8. DOI: 10.1177/135581969700200105. View

10.

Vivoda J, Walker R, Cao J, Koumoutzis A . How Accumulated Wealth Affects Driving Reduction and Cessation. Gerontologist. 2020; 60(7):1273-1281. DOI: 10.1093/geront/gnaa039. View

11.

McDonald R, Ho M . Principles and practice in reporting structural equation analyses. Psychol Methods. 2002; 7(1):64-82. DOI: 10.1037/1082-989x.7.1.64. View

12.

Strogatz D, Mielenz T, Johnson A, Baker I, Robinson M, Mebust S . Importance of Driving and Potential Impact of Driving Cessation for Rural and Urban Older Adults. J Rural Health. 2019; 36(1):88-93. DOI: 10.1111/jrh.12369. View

13.

Meuser T, Berg-Weger M, Chibnall J, Harmon A, Stowe J . Assessment of Readiness for Mobility Transition (ARMT): a tool for mobility transition counseling with older adults. J Appl Gerontol. 2014; 32(4):484-507. DOI: 10.1177/0733464811425914. View

14.

Brenner H, Kliebsch U . Dependence of weighted kappa coefficients on the number of categories. Epidemiology. 1996; 7(2):199-202. DOI: 10.1097/00001648-199603000-00016. View

15.

Harada K, Shimada H, Sawyer P, Asakawa Y, Nihei K, Kaneya S . [Life-space of community-dwelling older adults using preventive health care services in Japan and the validity of composite scoring methods for assessment]. Nihon Koshu Eisei Zasshi. 2010; 57(7):526-37. View

16.

Anstey K, Wood J, Lord S, Walker J . Cognitive, sensory and physical factors enabling driving safety in older adults. Clin Psychol Rev. 2004; 25(1):45-65. DOI: 10.1016/j.cpr.2004.07.008. View

17.

Yu J, Kahana E, Kahana B, Zhang Y . Driving Cessation in Old Age: Gender Influences on Mortality. J Aging Health. 2021; 33(7-8):447-457. DOI: 10.1177/0898264321991254. View

18.

Moon S, Park K . The Predictors of Driving Cessation among Older Drivers in Korea. Int J Environ Res Public Health. 2020; 17(19). PMC: 7579101. DOI: 10.3390/ijerph17197206. View

19.

Stasiulis E, Rapoport M, Sivajohan B, Naglie G . The Paradox of Dementia and Driving Cessation: "It's a Hot Topic," "Always on the Back Burner". Gerontologist. 2020; 60(7):1261-1272. PMC: 7491436. DOI: 10.1093/geront/gnaa034. View

20.

Suzukamo Y, Fukuhara S, Green J, Kosinski M, Gandek B, Ware J . Validation testing of a three-component model of Short Form-36 scores. J Clin Epidemiol. 2010; 64(3):301-8. DOI: 10.1016/j.jclinepi.2010.04.017. View