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Testing the Reliability and Validity of the Self-Efficacy for Exercise Scale
Abstract
BACKGROUND: The measure for self-efficacy barriers to exercise was developed for adults and revised on the basis of quantitative and qualitative research with older adults so it would be more appropriate for that age group. OBJECTIVES: To test the reliability and validity of the Self-Efficacy for Exercise (SEE) Scale. METHODS: Initial reliability and validity testing was performed using a sample of 187 older adults living in a continuing care retirement community. The average age of the participants was 85 +/- 6.2 years, and most were White (98%), female (82%), and unmarried (80%). Face-to-face interviews were completed and included the SEE, the 12-item Short Form Health Survey (SF-12), and the Expected Outcomes and Barriers for Habitual Exercise scale. Exercise activity was based on verbal report of participation in aerobic exercise (walking, swimming, biking, or jogging). RESULTS: There was sufficient evidence of internal consistency (alpha = 0.92), and a squared multiple correlation coefficient using structural equation modeling provided further evidence of reliability (R2 ranged from 0.38 to 0.76). There was evidence of validity of the measure based on hypothesis testing: Mental and physical health scores on the SF-12 predicted efficacy expectations, and efficacy expectations predicted exercise activity. Lambda X estimates (all estimates > or = 0.81) provided further evidence of validity. CONCLUSION: Preliminary testing provided evidence for the reliability and validity of the SEE scale. Future testing of the scale needs to be done with young old adults and subjects from different socioeconomic and cultural groups.
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“We also collected information on participants’ self-efficacy to participate in physical activity with the Self-Efficacy for Exercise Scale (SEE) [44].”
From Engaging women with an embodied conversational agent to deliver mindfulness and lifestyle recommendations: A feasibility randomized control trial (2017) · cites this paper as [44]
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“…et al., 1989) (28 studies), Self-Efficacy for Managing Chronic Disease Scale (Lorig et al., 1996) (17 studies), Self-Efficacy for Exercise Scale (Resnick & Jenkins, 2000) (9 studies), Self-Care Confidence subscale of the Self-Care of Heart Failure Index (Riegel et al., 2004, 2009) (9 studies),…”
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“31 The scale contains nine question items to evaluate ESE and to understand an individual’s confidence in maintaining a regular exercise in the face of exercise obstacles.”
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“Self-efficacy for exercise behavior scale will be used for evaluation of changes in patient perspectives on exercise [46].”
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“• Self-efficacy: The Self-Efficacy for Exercise Scale [16] is a 9-item questionnaire (total scores range from 0 to 90, higher scores indicate higher self-efficacy for exercise) that will be used to assess participants’ confidence in their ability to do exercise.”
A Social Cognitive Assessment of Workplace Sedentary Behavior among a Sample of University Employees
Wilkerson, A. H., Abutalib, N. H., McFadden, N. T., Bhochhibhoya, S., Dragicevic, A., Salous, B. R., & Nahar, V. K. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20156476 · Cited by 4
“92) and predictive validity for exercise behavior in older adult populations in the United States [23].”
BackgroundInfluentialDispositional mindfulness: Is it related to knee osteoarthritis population’s common health problems?
Chu, S., Lin, L., Chiu, A., & Wang, H. (2024) · PLoS ONE · doi:10.1371/journal.pone.0299879 · Cited by 5
“For this study, we applied the Self-Efficacy for Exercise Scale [32] to evaluate levels of confidence in exercising under various circumstances unfavorable to exercise, translated as a Chinese version, the SEE-C [31].”
BackgroundMethodEetvelde, J. V., Timmermans, A. A. A., Coninx, K., Kempeneers, K., Meeus, M., Marneffe, W., Meus, T., Meuwissen, I., Roussel, N. A., Stassijns, G., et al. (2024) · BMJ Open Sport & Exercise Medicine · doi:10.1136/bmjsem-2024-002180 · Cited by 4
Takase, K. (2007) · Nippon Ronen Igakkai Zasshi Japanese Journal of Geriatrics · doi:10.3143/geriatrics.44.107 · Cited by 4
Galeano, É. M., & Cuevas, V. M. C. (2016) · Aquichan · doi:10.5294/aqui.2016.16.1.8 · Cited by 8
Nematollahi, M., & Eslami, A. A. (2018) · Iranian Journal of Psychiatry and Behavioral Sciences · doi:10.5812/ijpbs.12662 · Cited by 4
Levy, T., Crotty, M., Laver, K., Lannin, N. A., & Killington, M. (2020) · BMC Research Notes · doi:10.1186/s13104-020-05202-2 · Cited by 4
Zhao, J., Chau, J. P. C., Zang, Y., Lo, S. H. S., Choi, K. C., & Liang, S. (2020) · Medicine · doi:10.1097/md.0000000000021805 · Cited by 4
“The MEDLINE strategy is presented in Table 2. tervention. methods Examples of measuring tools Berg Balance Scale[27] Sequential Weight Shifting Test[28] Fugl-Meyer Test[29] or devices Isokinetic dynamometer (IsoMed 2000) Hamilton Depression Scale[31] Profile of Mood States Short Form[32] equipments Thermometer, sphygm…”
MethodInfluentialYamaguchi, T., Yabe, H., Kono, K., et al. (2022) · Journal of Nephrology · doi:10.1007/s40620-022-01404-y · Cited by 4
Rahab, N., Ann, M., & Samuel, M. (2022) · International Journal of Managerial Studies and Research · doi:10.20431/2349-0349.1002002 · Cited by 4
Kotte, M., Bolam, K. A., Mijwel, S., Altena, R., Cormie, P., & Wengström, Y. (2023) · Trials · doi:10.1186/s13063-023-07152-z · Cited by 4
Webster, K., Zhou, W., Woo, S., Son, J. Y., Ploutz-Snyder, R. J., & Larson, J. L. (2023) · Heart & Lung · doi:10.1016/j.hrtlng.2023.07.004 · Cited by 4
Effects of daily sleep on physical activity after cardiac surgery
Lee, S., Quinn, L. T., Fritschi, C., Fink, A. M., Park, C., Reutrakul, S., & Collins, E. G. (2024) · Heart & Lung · doi:10.1016/j.hrtlng.2024.02.003 · Cited by 4
Muterera, J. (2024) · Finance & Accounting Research Journal · doi:10.51594/farj.v6i3.873 · Cited by 4
Wilson, M. P., Jankowski, C. M., Cook, P. F., Kulik, G. L., Iriarte, E., SantaBarbara, N. J., Fourman, L. T., & Erlandson, K. M. (2024) · AIDS and Behavior · doi:10.1007/s10461-024-04537-2 · Cited by 4
“This barrier-interference ESE tool was previously validated in an aging population against the Short Form-12 with an internal consistency (Cronbach alpha) of 0.92 [11].”
InfluentialKlese, M., Kampling, H., Bretschneider, U., & Niehaves, B. (2018) · Communications of the Association for Information Systems · doi:10.17705/1cais.04336 · Cited by 4
“Researchers have empirically examined this relationship between behavior and self-efficacy in diverse domains (Bandura, 1997) such as education (Chester & Beaudin, 1996), health (Resnick & Jenkins, 1996), and learning (Agarwal & Karahanna, 2000).”
BackgroundAn, X., Zhang, X., Liu, Y., Luo, W., & Yu, Z. (2020) · Patient Preference and Adherence · doi:10.2147/ppa.s250440 · Cited by 4
DANCE AND PHYSICAL ACTIVITY IN AFRICAN AMERICAN WOMEN
Murrock, C. J. (2007) · OhioLink ETD Center (Ohio Library and Information Network) · Cited by 4
Measuring the impact of entrepreneurship education: a cognitive approach to evaluation
Hannan, M., Leitch, C. M., & Hazlett, S. (2006) · International Journal of Continuing Engineering Education and Life-Long Learning · doi:10.1504/ijceell.2006.010962 · Cited by 4
“Research has demonstrated the importance of employing self-efficacy as a means of evaluation (Bandura and Wood, 1989; Resnick and Jenkins, 2000; Schunk et al., 1987).”
BackgroundRelationships Between Body Areas Satisfaction, Exercise, and Mood in Obese African American Women
Tennant, G. A. (2015) · Journal of Black Psychology · doi:10.1177/0095798414560438 · Cited by 4
“In addition, in a study with 187 older adults, Resnick and Jenkins (2000) reported internal consistency with values of Cronbach’s alpha of 0.92.”
BackgroundInfluentialExercise is medicine: a case study of an exercise prescription clinic in the NHS
Chatterjee, R., & Wolman, R. (2019) · British Journal of General Practice · doi:10.3399/bjgp19x704033 · Cited by 4
McGrath, A., Murphy, N. M., Egan, T., et al. (2022) · Preprints.org · doi:10.20944/preprints202203.0128.v1 · Cited by 4
Examining physical activity participation barriers among adults 50 years and older: a scoping review
Wingood, M., Criss, M. G., Irwin, K. E., Bamonti, P. M., Harris, R., Phillips, E. L., Vincenzo, J. L., & Chui, K. K. (2023) · Physical Therapy Reviews · doi:10.1080/10833196.2023.2265767 · Cited by 3
“Out of the 35 included articles, all 35 reported internal consistency via Cronbach’s a [3,16,26,30, 32– 61,71] , 18 reported test-retest test-retest”
BackgroundMethod
Metadata
- Authors
- Resnick, B., & Jenkins, L. S.
- Affiliations
- University of Maryland, Baltimore (US)
- ORCID
- Resnick, Barbara
- Venue
- Nursing Research
- Published
- 2000-05
- Volume
- 49
- Issue
- 3
- Pages
- 154-159
- ISSN
- 0029-6562 (ISSN-L)
- OpenAlex
- W2073037367
- Semantic Scholar
- e83f9800cb1b684862b784f20becd7a831579274
- Cited by
- 810
- References
- 32
- Citations by year
- 2026: 64 · 2025: 79 · 2024: 86 · 2023: 57 · 2022: 65 · 2021: 60 · 2020: 56 · 2019: 33 · 2018: 40 · 2017: 27 · 2016: 27 · 2015: 33 · 2014: 28 · 2013: 22 · 2012: 22
- FWCI
- 2.05
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nursing Research (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Health Sciences › Nursing › Research and Theory › Health Education and Validation
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Keywords
- exercise self-efficacy, older adults, scale reliability, scale validity, barriers to exercise, exercise activity, physical health, mental health, continuing care retirement communities, psychometric validation
- MeSH terms
- Aged, Aged, 80 and over, Female, Health Surveys, Humans, Interviews as Topic, Male, Reproducibility of Results, Exercise, Self Efficacy
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