The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
How Are Adherent People More Likely to Think? A Meta-Analysis of Health Beliefs and Diabetes Self-Care
Abstract
Purpose Diabetes is increasingly prevalent, and nonadherence with diabetes treatment regimens is associated with physical and social costs. Psychological predictors of adherence have been investigated in the literature, including cognitive factors. The present meta-analysis was conducted to investigate the association between beliefs related to diabetes and adherence to diabetes regimens. Methods Studies that measured both (a) beliefs, perceptions, or cognitions about diabetes and (b) the relationship between such cognitive factors and blood glucose levels or other adherence behaviors were included. This research focused on adults with any type of diabetes, reaching a final sample of 48 studies. The effect size r was calculated for all types of beliefs and outcomes. Results The types of beliefs most strongly associated with adherence were self-efficacy, perceiving a positive relationship with physician, and beliefs about the personal consequences of adherence. A few limitations of this meta-analysis are that studies were only retrieved through databases and other sources were not searched, only articles in English were included, and only adult participants were included. Conclusions People who are more adherent have a higher level of confidence in their ability to follow medical recommendations, expect more meaningful positive consequences for adherence, and perceive a more positive relationship with their health care provider. Educators and clinicians could use cognitive restructuring techniques to facilitate these types of beliefs and perceptions in people with diabetes.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
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?
In the citing paper
“Suboptimal self-management may be due to functional limitations (e.g., blindness, problems with dexterity, low health literacy and numeracy), lack of appropriate diabetes education, forgetting and disruption in routines,”
From Psychosocial care for people with diabetes: a position statement of the American Diabetes Association (2016) · cites this paper as [28]
Citations
Cites
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,603
The Measurement of Observer Agreement for Categorical Data
Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148
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 65,417
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009) · doi:10.1002/9780470743386 · Cited by 14,225
Duval, S., & Tweedie, R. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.00455.x · Cited by 14,099
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 13,379
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2021) · doi:10.1002/9781119558378 · Cited by 9,799
(2000) · Cited by 9,198
Methods of Meta-Analysis: Correcting Error and Bias in Research Findings
Schmidt, F. L., & Hunter, J. E. (2015) · doi:10.4135/9781483398105 · Cited by 5,542
The Handbook of Research Synthesis and Meta-Analysis
(2019) · doi:10.7758/9781610448864 · Cited by 4,553
Flagged first, then by citations
Research works printed but not linked: 3
- Borenstein M, 2005, Comprehensive Meta-analysis Version 2
- Barnes L, 2004, N Z Med J, 117, 1
- Daniel M, 2002, Chronic Dis Can, 23, 130
Cited by
Sorted by citations
Items 101–121 of 121
DUKUNGAN DAN KOPING KELUARGA DALAM MOTIVASI PENGOBATAN PENDERITA DIABETES MELITUS
Mustamu, A. C., Sjarfan, S., & Hasim, N. H. (2020) · Jurnal Kesehatan Terpadu (Integrated Health Journal) · doi:10.32695/jkt.v11i1.68 · Cited by 1
Barrett, C. (2020) · Springer eBooks · doi:10.1007/978-3-030-39903-0_1653 · Cited by 1
Arrelias, C. C. A. (2013) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.22.2013.tde-26092013-183941
Upplevelsen av att leva med diagnosen hypertoni
Johansson, V., & Josefsson, H. (2014) · Borås Academic Digital Archive (University of Borås)
The Association Between Dietary Patterns and Diabetes Status Among U.S. Adults
Richardson, L. C. (2015) · ScholarWorks (Walden University)
Smith, R. C. (2015) · University of Minnesota Digital Conservancy (University of Minnesota)
Atenção Farmacêutica: Adesão ao tratamento.
Filho, J. D. M. (2013)
LATINA PATIENTS' SOCIAL SUPPORT AND SELF-EFFICACY MANAGING TYPE 2 DIABETES MELLITUS
Rasmussen, G., & Cristy, R. (2013)
Paterson, R. (2026) · Research Output (Edinburgh Napier University) · doi:10.17869/enu.1526669
Kepuasan Self Monitoring Blood Glucose dengan Kualitas Hidup pada Pasien Diabetes Tipe 2
Chloranyta, S., Yulia, Y., & Sodikin, M. (2019) · JURNAL KEPERAWATAN RAFLESIA · doi:10.33088/jkr.v1i2.419
Taner, N., Tatlıpınar, M. E., Aydın, A. N., & Omurtag, G. Z. (2020) · ACTA Pharmaceutica Sciencia · doi:10.23893/1307-2080.aps.05827
Barrett, C. (2012) · Springer eBooks · doi:10.1007/978-1-4419-1005-9_1653
Milla-Amekor, E., & Ewusie, E. A. (2023) · Asian Journal of Medicine and Health · doi:10.9734/ajmah/2023/v21i11918
Ehealth intervention to optimize adherence in late adolescents and young adults with type 1 diabetes
AlBurno, H. (2023) · Research Publications (Maastricht University) · doi:10.26481/dis.20240118ha
Hashiguchi, L. O., Cox, S. E., Edwards, T., Castro, M. C., Khan, M., & Liverani, M. (2024) · Figshare · doi:10.6084/m9.figshare.26619583
Hashiguchi, L. O., Cox, S. E., Edwards, T., Castro, M. C., Khan, M., & Liverani, M. (2024) · Figshare · doi:10.6084/m9.figshare.26619580
Karataş, D. (2026) · Âlemnümâ İnsan ve Toplum · doi:10.66700/alemnuma.1941173
Jackson, J. L. (2015) · Journal of General Internal Medicine · doi:10.1007/s11606-015-3340-4
Metadata
- Authors
- Gherman, A., Schnur, J., Montgomery, G., Sassu, R., Veresiu, I., & David, D.
- Affiliations
- Babeș-Bolyai University (RO)
- Icahn School of Medicine at Mount Sinai (US)
- Lucian Blaga University of Sibiu (RO)
- Venue
- The Diabetes Educator
- Publisher
- SAGE Publications
- Published
- 2011-04-08
- Volume
- 37
- Issue
- 3
- Pages
- 392-408
- ISSN
- 0145-7217 (ISSN-L)
- 1554-6063
- OpenAlex
- W2030350989
- Cited by
- 122
- References
- 68
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 3 · 2023: 5 · 2022: 9 · 2021: 7 · 2020: 14 · 2019: 10 · 2018: 9 · 2017: 9 · 2016: 11 · 2015: 10 · 2014: 11 · 2013: 12 · 2012: 7
- FWCI
- 1.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Science of Diabetes Self-Management and Care (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Keywords
- health beliefs, self-efficacy, physician-patient relationship, cognitive restructuring, glycemic control, diabetes self-management
- MeSH terms
- Adult, Cognition, Diabetes Mellitus, Female, Humans, Health Knowledge, Attitudes, Practice, Male, Middle Aged, Patient Compliance, Self Care, Blood Glucose Self-Monitoring, Self Efficacy
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