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Correlates of Insulin Injection Omission
Open accessAbstract
OBJECTIVE: The purpose of this study was to assess factors associated with patient frequency of intentionally skipping insulin injections. RESEARCH DESIGN AND METHODS: Data were obtained through an Internet survey of 502 U.S. adults self-identified as taking insulin by injection to treat type 1 or type 2 diabetes. Multiple regression analysis assessed independent associations of various demographic, disease, and injection-specific factors with insulin omission. RESULTS: Intentional insulin omission was reported by more than half of respondents; regular omission was reported by 20%. Significant independent risk factors for insulin omission were younger age, lower income and higher education, type 2 diabetes, not following a healthy diet, taking more daily injections, interference of injections with daily activities, and injection pain and embarrassment. Risk factors differed between type 1 and type 2 diabetic patients, with diet nonadherence more prominent in type 1 diabetes and age, education, income, pain, and embarrassment more prominent in type 2 diabetes. CONCLUSIONS: Whereas most patients did not report regular intentional omission of insulin injections, a substantial number did. Our findings suggest that it is important to identify patients who intentionally omit insulin and be aware of the potential risk factors identified here. For patients who report injection-related problems (interference with daily activities, injection pain, and embarrassment), providers should consider recommending strategies and tools for addressing these problems to increase adherence to prescribed insulin regimens. This could improve clinical outcomes.
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“The present study was the first to investigate the effects of missed basal insulin injections using accurate injection data from a smart insulin pen; previous studies using data from smart insulin pens have primarily focused on missed bolus insulin doses.4,8”
From Smart Pen Exposes Missed Basal Insulin Injections and Reveals the Impact on Glycemic Control in Adults With Type 1 Diabetes (2024) · cites this paper as [8]
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“The present study was the first to investigate the effects of missed basal insulin injections using accurate injection data from a smart insulin pen; previous studies using data from smart insulin pens have primarily focused on missed bolus insulin doses.4,8”
From Smart Pen Exposes Missed Basal Insulin Injections and Reveals the Impact on Glycemic Control in Adults With Type 1 Diabetes (2024) · cites this paper as [8]
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Metadata
- Authors
- Peyrot, M., Rubin, R. R., Kruger, D. F., & Travis, L. B.
- Affiliations
- Johns Hopkins University (US)
- Henry Ford Health (US)
- The University of Texas Medical Branch at Galveston (US)
- Corresponding author
- Peyrot, Mark
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2010-02-01
- Volume
- 33
- Issue
- 2
- Pages
- 240-245
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- PMC
- PMC2809256
- OpenAlex
- W2103829708
- Cited by
- 407
- References
- 24
- Citations by year
- 2026: 14 · 2025: 15 · 2024: 17 · 2023: 18 · 2022: 18 · 2021: 17 · 2020: 21 · 2019: 30 · 2018: 33 · 2017: 31 · 2016: 38 · 2015: 29 · 2014: 33 · 2013: 37 · 2012: 22
- FWCI
- 22.33
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Diabetes Care (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
- Keywords
- insulin omission, insulin injection, type 1 diabetes, type 2 diabetes, insulin adherence, injection pain, socioeconomic factors, age, insulin regimens
- MeSH terms
- Adult, Aged, Behavior, Cardiovascular Diseases, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Diabetic Angiopathies, Ethnicity, Female, Health Surveys, Humans, Hypertension, Hypoglycemic Agents, Income, Insulin, Male, Middle Aged, Perception, Regression Analysis, Risk-Taking, Self Care, Racial Groups
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 ›
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