The development and psychometric evaluation of the motivation and energy inventory (MEI)
Abstract
Because depressed patients commonly experience reductions in motivation and energy, both as symptoms of their disorder and as side effects of pharmacotherapy, it is important to identify interventions that can restore their vitality. The Motivation and Energy Inventory (MEI) was recently developed to facilitate the evaluation of such efforts both in depression research, as well as in other therapeutic areas where vitality is an important issue. The constructs addressed by the MEI were identified through a combination of literature review, consultation with experts, and patient focus groups. Potential problems identified during cognitive testing and addressed in subsequent revisions related to the instructions, reference period, response scale sizes, and response scale labels, as well as a number of item-specific issues. Most recently, the data from two randomized, placebo-controlled clinical trials were utilized to evaluate the psychometric properties of the new questionnaire. In general, the data collected during the first and second trial were used for exploratory and confirmatory analysis, respectively. Consistent with the measurement model of the MEI, the psychometric results confirm that the instrument has three factors generally addressing physical energy, mental energy, and social motivation. Furthermore, these results provide evidence for the internal consistency, construct validity, and responsiveness of all three MEI subscales. Additional work is currently underway to examine test-retest reliability and establish minimal clinically important difference values for the MEI subscales.
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The MEI was designed to be responsive to treatment effects and able to discriminate among patient populations with differing clinical characteristics.
“It was designed to be responsive to treatment effects and able to discriminate among patient populations with differing clinical characteristics.”
From Patient-reported outcome measures for life engagement in mental health: a systematic review (2022) · cites this paper as [35]
In depression, the three MEI subscales each showed good internal consistency (Cronbach's α = 0.75-0.89), construct validity (moderate correlation with quality of life, r = −0.42 to −0.64, and modest correlation with depressive symptoms, r = −0.15 to −0.26), and could detect changes over time.
“In depression, the three MEI subscales each showed good internal consistency (Cronbach’s α = 0.75–0.89), construct validity (moderate correlation with quality of life, r = − 0.42 to − 0.64, and modest correlation with depressive symptoms, r = − 0.15 to − 0.26), and could detect changes over time [35].”
From Patient-reported outcome measures for life engagement in mental health: a systematic review (2022) · cites this paper as [35]
The Motivation and Energy Inventory (MEI) measures vitality in the past 4 weeks.
“The MEI [35] measures vitality in the past 4 weeks.”
From Patient-reported outcome measures for life engagement in mental health: a systematic review (2022) · cites this paper as [35]
Cites
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788 · see citing works
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,406 · see citing works
The CES-D Scale: A Self-Report Depression Scale for Research in the General Population
Radloff, L. S. (1977) · Applied Psychological Measurement · doi:10.1177/014662167700100306 · Cited by 53,267 · see citing works
(1992) · PubMed · Cited by 33,716 · see citing works
Hamilton, M. (1960) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.23.1.56 · Cited by 32,817 · see citing works
The MOS 36-ltem Short-Form Health Survey (SF-36): I. Conceptual Framework and Item Selection
Ware, J. E., & Sherbourne, C. D. (1992) · Medical Care · doi:10.1097/00005650-199206000-00002 · Cited by 30,033 · see citing works
Health Measurement Scales: A Practical Guide to Their Development and Use
Streiner, D. L., Norman, G. R., & Cairney, J. (1989) · Cited by 9,595 · see citing works
(1976) · Medical Entomology and Zoology · Cited by 8,899 · see citing works
LISREL 7 : user's reference guide
Jöreskog, K. G., & Sörbom, D. (1989) · Medical Entomology and Zoology · Cited by 6,783 · see citing works
A Beginner's Guide to Structural Equation Modeling: Fourth Edition
Schumacker, R. E., & Lomax, R. G. (2015) · doi:10.4324/9781315749105 · Cited by 6,604 · see citing works
Krupp, L. B. (1989) · Archives of Neurology · doi:10.1001/archneur.1989.00520460115022 · Cited by 6,172 · see citing works
Measuring Health: A Guide to Rating Scales and Questionnaires
McDowell, I., & Newell, C. (1987) · Cited by 4,207 · see citing works
Smets, E. M. A., Garssen, B., Bonke, B., & de Haes, J. C. J. M. (1995) · Journal of Psychosomatic Research · doi:10.1016/0022-3999(94)00125-o · Cited by 3,622 · see citing works
Development of a fatigue scale
Chalder, T., Berelowitz, G., Pawlikowska, T., Watts, L., Wessely, S., Wright, D., & Wallace, E. P. (1993) · Journal of Psychosomatic Research · doi:10.1016/0022-3999(93)90081-p · Cited by 3,032 · cited 1× · see citing works
“While the Chalder Fatigue Scale [ 17 ] and Multidimensional Fatigue Inventory [18] have been included in a small number of clinical trials, none of these trials have involved depressed patients or an assessment of the instruments’”
MethodMcDowell, I. (2006) · doi:10.1093/acprof:oso/9780195165678.001.0001 · Cited by 2,095 · see citing works
Measuring change over time: assessing the usefulness of evaluative instruments.
Guyatt, G., Walter, S. D., & Norman, G. (1987) · Journal of Chronic Diseases · doi:10.1016/0021-9681(87)90069-5 · Cited by 1,997 · see citing works
Yellen, S. B., Cella, D. F., Webster, K., Blendowski, C., & Kaplan, E. (1997) · Journal of Pain and Symptom Management · doi:10.1016/s0885-3924(96)00274-6 · Cited by 1,964 · see citing works
THE MOS 36- ITEM SHORT FORM HEALTH SURVEY (SF- 36) CONCEPTUAL FRAMEWORK AND ITEM SELECTION
J.E.Jr., W., & Sherburne, C. D. (1992) · Cited by 1,586 · see citing works
Methods for assessing responsiveness
Husted, J., Cook, R. J., Farewell, V. T., & Gladman, D. (2000) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(99)00206-1 · Cited by 1,478 · see citing works
The Nottingham health profile: Subjective health status and medical consultations
Hunt, S. M., McKenna, S. P., McEwen, J., Williams, J., & Papp, E. (1981) · Social Science & Medicine Part A Medical Sociology · doi:10.1016/0271-7123(81)90005-5 · Cited by 1,084 · see citing works
The revised Piper Fatigue Scale: psychometric evaluation in women with breast cancer.
Piper, B. F., Dibble, S. L., Dodd, M. J., Weiss, M. C., Slaughter, R. E., & Paul, S. M. (1998) · PubMed · Cited by 838 · see citing works
Measurement of Activation through Self-Report
Thayer, R. E. (1967) · Psychological Reports · doi:10.2466/pr0.1967.20.2.663 · Cited by 567 · see citing works
The measurement of fatigue: a new instrument
Schwartz, J. E., Jandorf, L., & Krupp, L. B. (1993) · Journal of Psychosomatic Research · doi:10.1016/0022-3999(93)90104-n · Cited by 562 · see citing works
Wessely, S. C., & Powell, R. (1989) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.52.8.940 · Cited by 478 · see citing works
Osoba, D., Zee, B. C.-Y., Pater, J. L., Warr, D. G., Kaizer, L., & Latreille, J. (1994) · Quality of Life Research · doi:10.1007/bf00451727 · Cited by 412 · see citing works
Development and Validation of the Cancer Fatigue Scale
Okuyama, T., Akechi, T., Kugaya, A., Okamura, H., Shima, Y., Maruguchi, M., Hosaka, T., & Uchitomi, Y. (2000) · Journal of Pain and Symptom Management · doi:10.1016/s0885-3924(99)00138-4 · Cited by 407 · see citing works
A Multidimensional Measure of Fatigue for Use with Cancer Patients
Stein, K., Martin, S. C., Hann, D. M., & Jacobsen, P. B. (1998) · Cancer Practice · doi:10.1046/j.1523-5394.1998.006003143.x · Cited by 373 · see citing works
Epidemiology of Affective Disorders
Boyd, J. H. (1981) · Archives of General Psychiatry · doi:10.1001/archpsyc.1981.01780340091011 · Cited by 353 · see citing works
The QLDS: A scale for the measurement of quality of life in depression
Hunt, S. M., & McKenna, S. P. (1992) · Health Policy · doi:10.1016/0168-8510(92)90004-u · Cited by 314 · see citing works
Selective Serotonin-Reuptake Inhibitors: An Update
Masand, P. S., & Gupta, S. (1999) · Harvard Review of Psychiatry · doi:10.3109/hrp.7.2.69 · Cited by 211 · see citing works
Placebo as a Treatment for Depression
Brown, W. A. (1994) · Neuropsychopharmacology · doi:10.1038/npp.1994.53 · Cited by 135 · see citing works
Development and Validation of the Diabetes Quality of Life Clinical Trial Questionnaire
Shen, W., Kotsanos, J. G., Huster, W. J., Mathias, S. D., Andrejasich, C. M., & Patrick, D. L. (1999) · Medical Care · doi:10.1097/00005650-199904001-00008 · Cited by 107 · see citing works
Psychometric Properties of the HIV-Related Fatigue Scale
Barroso, J. V., & Lynn, M. R. (2002) · Journal of the Association of Nurses in AIDS Care · doi:10.1016/s1055-3290(06)60242-2 · Cited by 61 · see citing works
A brief mental fatigue questionnaire
Bentall, R. P., Wood, G. C., Marrinan, T., et al. (1993) · British Journal of Clinical Psychology · doi:10.1111/j.2044-8260.1993.tb01070.x · Cited by 60 · see citing works
Selective serotonin-reuptake inhibitors: an update
Masand, P. (1999) · Harvard Review of Psychiatry · doi:10.1093/hrp/7.2.69 · Cited by 34 · see citing works
The rapid assessment of fatigue severity in cancer patients
Mendoza, T. R., Wang, X. S., Cleeland, C. S., Morrissey, M., Johnson, B. A., Wendt, J. K., & Huber, S. L. (1999) · Cancer · doi:10.1002/(sici)1097-0142(19990301)85:5 · Cited by 1 · see citing works
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Assessing anhedonia in depression: potentials and pitfalls
Rizvi, S. J., Pizzagalli, D. A., Sproule, B. A., & Kennedy, S. H. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.03.004 · Cited by 571 · see citing works
Ghanean, H., Ceniti, A. K., & Kennedy, S. H. (2018) · CNS Drugs · doi:10.1007/s40263-018-0490-z · Cited by 108 · see citing works
Soczynska, J. K., Ravindran, L. N., Styra, R., McIntyre, R. S., Cyriac, A., Manierka, M. S., & Kennedy, S. H. (2014) · Psychiatry Research · doi:10.1016/j.psychres.2014.06.053 · Cited by 60 · see citing works
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McIntyre, R. S., Ismail, Z., Watling, C. P., Weiss, C., Meehan, S. R., Musingarimi, P., & Thase, M. E. (2022) · Journal of Patient-Reported Outcomes · doi:10.1186/s41687-022-00468-5 · Cited by 48 · see citing works
Trémeau, F., Goldman, J., Antonius, D., & Javitt, D. C. (2013) · Psychiatry Research · doi:10.1016/j.psychres.2013.05.031 · Cited by 28 · see citing works
- Authors
- Fehnel, S. E., Bann, C. M., Hogue, S. L., Kwong, W. J., & Mahajan, S. S.
- Affiliations
- RTI International (US)
- GlaxoSmithKline (United States) (US)
- Corresponding author
- Fehnel, S.E.
- Venue
- Quality of Life Research
- Published
- 2004-09
- Volume
- 13
- Issue
- 7
- Pages
- 1321-1336
- ISSN
- 0962-9343 (ISSN-L)
- 1573-2649
- OpenAlex
- W2009337441
- Cited by
- 53
- References
- 36
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 3 · 2023: 5 · 2022: 4 · 2021: 1 · 2020: 4 · 2018: 3 · 2017: 4 · 2016: 4 · 2015: 3 · 2014: 3 · 2013: 2
- FWCI
- 1.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Quality of Life Research (publishedVersion)
- PubMed (publishedVersion)
- Funders
- GlaxoSmithKline
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Keywords
- motivation, energy, depression, vitality, psychometric properties, questionnaire development, physical energy, mental energy, social motivation, construct validity, responsiveness, internal consistency, minimal clinically important difference
- MeSH terms
- Adolescent, Adult, Aged, Antidepressive Agents, Depression, Factor Analysis, Statistical, Fatigue, Female, Humans, Male, Middle Aged, Motivation, Personality Inventory, Psychometrics, Reproducibility of Results, Randomized Controlled Trials as Topic
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