The effect of motivational interviewing on metabolic control and psychosocial variables in individuals diagnosed with diabetes: systematic review and meta-analysis
Abstract
Objective The current study aimed to analyze the effects of motivational interviewing (MI) on metabolic and psychosocial variables among individuals with diabetes.Methods Four databases were searched between 2000 and 2021 years. Randomized controlled studies were included. The standardized mean differences were determined. The heterogeneity was analyzed using the I 2 test. The methodological quality was evaluated independently by three researchers.Results This meta-analysis included 16 studies. Glycated hemoglobin, postprandial plasma glucose (PG), systolic blood pressure (BP) significantly decreased after MI. There are no significant effects of MI on fasting PG, body mass index, diastolic BP, total cholesterol, high-density lipoprotein, low-density lipoprotein and triglyceride. MI had an overall significant impact on depression, emotional distress, and self-efficacy. Only four studies had 7 points based on the Modified Jadad Scale. The Egger's test showed no evidence of publication bias.Conclusion MI effectively reduced glycated hemoglobin, postprandial plasma glucose, systolic blood pressure, depressive symptoms, emotional distress, and increased self-efficacy.Practice implications This meta-analysis showed that MI was effective at improving metabolic control and psychosocial variables. MI should be considered a complementary treatment for people diagnosed with diabetes. Future studies should be structured as long-term studies with higher methodological quality.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Digital wearable devices may influence exercise self-management in T2DM through pathways including enhanced self-efficacy, motivational activation, improved self-regulation, and support for sustained behavior.
“This suggests that such devices may influence exercise self-management in T2DM through pathways including enhanced self-efficacy, motivational activation, improved self-regulation, and support for sustained behavior (10, 11).”
Cites
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139 · see citing works
Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & the PRISMA Group* (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-4-200908180-00135 · Cited by 37,554 · see citing works
International Diabetes Federation 2017
Carracher, A. M., Marathe, P. H., & Close, K. L. (2018) · Journal of Diabetes · doi:10.1111/1753-0407.12644 · Cited by 13,369 · see citing works
Motivational Interviewing: Helping People Change
Tober, G. (2013) · Alcohol and Alcoholism · doi:10.1093/alcalc/agt010 · Cited by 4,267 · see citing works
Utilization of the PICO framework to improve searching PubMed for clinical questions
Schardt, C., Adams, M. B., Owens, T., Keitz, S., & Fontelo, P. (2007) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-7-16 · Cited by 3,053 · see citing works
Social Cognitive Theory: An Agentic Perspective
Bandura, A. (1999) · Asian Journal of Social Psychology · doi:10.1111/1467-839x.00024 · Cited by 2,050 · see citing works
Borenstein, M., Hedges, L. V., Higgins, J. P. T., Rothstein, H. R., & Den, A. B. V. (2020) · International Coaching Psychology Review · doi:10.53841/bpsicpr.2020.15.2.121 · Cited by 1,259 · see citing works
10. Cardiovascular Disease and Risk Management: <i>Standards of Medical Care in Diabetes—2022</i>
American Diabetes Association Professional Practice Committee (2022) · Diabetes Care · doi:10.2337/dc22-s010 · Cited by 869 · see citing works
Blood Pressure Lowering in Type 2 Diabetes: A Systematic Review and Meta-analysis
Emdin, C. A., Rahimi, K., Neal, B., Callender, T., Perkovic, V., & Patel, A. (2015) · JAMA · doi:10.1001/jama.2014.18574 · Cited by 854 · see citing works
American Diabetes Association Professional Practice Committee (2022) · Diabetes Care · doi:10.2337/dc22-s005 · Cited by 445 · see citing works
Oremus, M., Wolfson, C. M., Perrault, A., Demers, L., Momoli, F., & Moride, Y. (2001) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000051263 · Cited by 422 · see citing works
Motivational Interviewing Improves Weight Loss in Women With Type 2 Diabetes
West, D. S., DiLillo, V. G., Bursac, Z., Gore, S. A., & Greene, P. G. (2007) · Diabetes Care · doi:10.2337/dc06-1966 · Cited by 398 · see citing works
Corbett, M. S., Higgins, J. P. T., & Woolacott, N. F. (2014) · Research Synthesis Methods · doi:10.1002/jrsm.1090 · Cited by 273 · see citing works
An Effective Model of Diabetes Care and Education: The ADCES7 Self-Care Behaviors™
Kolb, L. E. (2021) · The Science of Diabetes Self-Management and Care · doi:10.1177/0145721720978154 · Cited by 266 · see citing works
Ismail, K., Maissi, E., Thomas, S., Chalder, T., Schmidt, U. H., Bartlett, J. W., Patel, A. K., Dickens, C. M., Creed, F. H., & Treasure, J. L. (2010) · Health Technology Assessment · doi:10.3310/hta14220 · Cited by 244 · see citing works
Web-Based Depression Treatment for Type 1 and Type 2 Diabetic Patients
van Bastelaar, K. M. P., Pouwer, F., Cuijpers, P., Riper, H., & Snoek, F. J. (2011) · Diabetes Care · doi:10.2337/dc10-1248 · Cited by 209 · see citing works
Chen, S. M., Creedy, D. K., Lin, H., & Wollin, J. A. (2011) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2011.11.011 · Cited by 194 · see citing works
Motivational interviewing and outcomes in adults with type 2 diabetes: A systematic review.
Ekong, G., & Kavookjian, J. (2016) · Patient Education and Counseling · doi:10.1016/j.pec.2015.11.022 · Cited by 193 · see citing works
Levensky, E. R., Forcehimes, A. A., O’Donohue, W., & Beitz, K. (2007) · AJN American Journal of Nursing · doi:10.1097/01.naj.0000292202.06571.24 · Cited by 169 · see citing works
Young, H. M., Miyamoto, S., Dharmar, M., & Tang-Feldman, Y. (2020) · JMIR mHealth and uHealth · doi:10.2196/16665 · Cited by 109 · see citing works
Welch, G. W., Zagarins, S., Feinberg, R. G., & Garb, J. (2010) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2010.09.036 · Cited by 103 · see citing works
Young, H., Miyamoto, S., Ward, D., Dharmar, M., Tang-Feldman, Y., & Berglund, L. (2014) · Telemedicine journal and e-health · doi:10.1089/tmj.2013.0326 · Cited by 93 · see citing works
Gabbay, R. A., Añel‐Tiangco, R. M., Dellasega, C., Mauger, D. T., Adelman, A., & Van Horn, D. H. A. (2013) · Journal of Diabetes · doi:10.1111/1753-0407.12030 · Cited by 85 · see citing works
Compliance to Diabetes Self-Management in Rural El-Mina, Egypt
Mahfouz, E. M., & Awadalla, H. I. (2011) · Central European Journal of Public Health · doi:10.21101/cejph.a3573 · Cited by 75 · see citing works
Chapman, A., Liu, S., Merkouris, S., Enticott, J., Yang, H. M., Browning, C. J., & Thomas, S. A. (2015) · Frontiers in Public Health · doi:10.3389/fpubh.2015.00252 · Cited by 70 · see citing works
Hawkins, S. (2010) · Research and Theory for Nursing Practice · doi:10.1891/1541-6577.24.4.217 · Cited by 64 · see citing works
Calhoun, D., Brod, R., Kirlin, K. A., Howard, B. V., Schuldberg, D., & Fiore, C. (2010) · Diabetes Spectrum · doi:10.2337/diaspect.23.2.107 · Cited by 51 · see citing works
Berhe, K. K., Gebru, H. B., & Berhe, H. (2020) · PLoS ONE · doi:10.1371/journal.pone.0240839 · Cited by 51 · see citing works
Motivational interviewing to improve diabetes outcomes in African Americans adults with diabetes
Chlebowy, D. O., El-Mallakh, P., Myers, J., Kubiak, N., Cloud, R., & Wall, M. P. (2015) · Western Journal of Nursing Research · doi:10.1177/0193945914530522 · Cited by 44 · see citing works
Song, D., Xu, T., & Sun, Q. (2014) · International Journal of Nursing Sciences · doi:10.1016/j.ijnss.2014.06.002 · Cited by 39 · see citing works
Li, Z., Chen, Q., Yan, J., Liang, W., & Wong, W. C. W. (2020) · BMC Health Services Research · doi:10.1186/s12913-019-4776-8 · Cited by 38 · see citing works
Motivational interventions in the management of HbA1c levels: A systematic review and meta-analysis
Jones, A., Gladstone, B. P., Lübeck, M., Lindekilde, N., Upton, D., & Vach, W. (2014) · Primary care diabetes · doi:10.1016/j.pcd.2014.01.009 · Cited by 37 · see citing works
Pienaar, M. A., & Reid, M. (2020) · BMC Public Health · doi:10.1186/s12889-020-09954-1 · Cited by 34 · see citing works
Li, M., Li, T., Shi, B.-Y., & Gao, C.-X. (2014) · International Journal of Nursing Sciences · doi:10.1016/j.ijnss.2014.05.022 · Cited by 25 · see citing works
Chapman, A., Browning, C., Enticott, J. C., Yang, H., Liu, S., Zhang, T.-H., & Thomas, S. (2018) · Frontiers in Public Health · doi:10.3389/fpubh.2018.00252 · Cited by 22 · see citing works
Doğru, A., Ovayolu, N., & Ovayolu, Ö. (2019) · PubMed · Cited by 21 · see citing works
BOOK REVIEW--Motivational Interviewing: Preparing People for Change
Thomas, S. N. (2002) · Journal of Studies on Alcohol · doi:10.15288/jsa.2002.63.776 · Cited by 20 · see citing works
Comorbid diabetes and depression: do E-health treatments achieve better diabetes control?
Feltz-Cornelis, C. M. V. D. (2013) · Diabetes Management · doi:10.2217/dmt.13.37 · Cited by 14 · see citing works
Management of Type 2 Diabetes Mellitus
Dungan, K. M. (2015) · Elsevier eBooks · doi:10.1016/b978-0-323-18907-1.00048-2 · Cited by 7 · see citing works
Momtazi, S., Salimi, C., & Zenouzian, S. (2018) · World Family Medicine Journal/Middle East Journal of Family Medicine · doi:10.5742/mewfm.2018.93202 · Cited by 3 · see citing works
Safari, S. S., Rahnama, M., Mohammad, A. A., et al. (2019) · Journal of diabetes nursing · Cited by 2 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Robinson, D. J., Hanson, K., Jain, A. B., Kichler, J. C., Mehta, G., Melamed, O. C., Vallis, M., Bajaj, H. S., Barnes, T., Gilbert, J., et al. (2023) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2023.04.009 · Cited by 73 · see citing works
Wal, A., Sahu, P. K., Wal, P., Sahu, K., Bhise, M. R., & Lodhi, D. S. (2025) · Cardiovascular & Hematological Disorders-Drug Targets · doi:10.2174/011871529x326042241031060350 · Cited by 1 · see citing works
Sun, W., Xie, D., Hou, W., Zhang, M., Wang, C., Wang, Z., Yang, H., Xu, G., & Dai, H. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1871682
- Authors
- Bilgin, A., Muz, G., & Yuce, G. E.
- Affiliations
- Hacettepe University (TR)
- Nevşehir Hacı Bektaş Veli University (TR)
- Corresponding author
- Muz, Gamze
- Venue
- Patient Education and Counseling
- Publisher
- Elsevier BV
- Published
- 2022-09
- Volume
- 105
- Issue
- 9
- Pages
- 2806-2823
- ISSN
- 0738-3991 (ISSN-L)
- OpenAlex
- W4223899635
- Cited by
- 50
- References
- 41
- Citations by year
- 2026: 10 · 2025: 10 · 2024: 12 · 2023: 16 · 2022: 2
- FWCI
- 1.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Patient Education and Counseling (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- motivational interviewing, diabetes mellitus, HbA1c, glycemic control, postprandial blood glucose, blood pressure, depression, emotional distress, self-efficacy, psychosocial outcomes, complementary therapy
- MeSH terms
- Blood Glucose, Blood Pressure, Diabetes Mellitus, Type 2, Glycated Hemoglobin, Humans, Motivational Interviewing
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