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Meal-Related Structured Self-Monitoring of Blood Glucose
Abstract
OBJECTIVE: To investigate the effect of meal-related self-monitoring of blood glucose on glycemic control and well-being in non-insulin-treated type 2 diabetic patients. RESEARCH DESIGN AND METHODS: This 6-month study, which included 6 months of follow-up, adopted a prospective, multicenter, randomized controlled design. Subjects were randomized to two groups: one group used a blood glucose-monitoring device, kept a blood glucose/eating diary, and received standardized counseling; the control group received nonstandardized counseling on diet and lifestyle. The primary efficacy parameter was the change in HbA(1c). Secondary efficacy variables included changes in body weight, lipids, and microalbumin and changes in treatment satisfaction and well-being. RESULTS: In the per-protocol analysis, the use of a self-monitoring blood glucose device significantly reduced HbA(1c) levels by 1.0 +/- 1.08% compared with 0.54 +/- 1.41% for the control group (P = 0.0086); subgroup analysis showed three types of responders. Body weight, total cholesterol, and microalbumin improved when using a glucometer, but there was no statistically significant difference between the two groups. Treatment satisfaction increased in both groups to a similar extent (P = 0.9). Self-monitoring resulted in a marked improvement of general well-being with significant improvements in the subitems depression (P = 0.032) and lack of well-being (P = 0.02). CONCLUSIONS: Meal-related self-monitoring of blood glucose within a structured counseling program improved glycemic control in the majority of non-insulin-treated type 2 diabetic patients in this study. The finding of three types of responders will be important for future planning of counseling and educational interventions.
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“Current evidence in this latter population is mixed, with some studies pointing to significant glycemic benefits resulting from SMBG use (8–10), while others have shown no significant benefits (11–13).”
From Structured Self-Monitoring of Blood Glucose Significantly Reduces A1C Levels in Poorly Controlled, Noninsulin-Treated Type 2 Diabetes (2011) · cites this paper as [9]
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Metadata
- Authors
- Schwedes, U., Siebolds, M., Mertes, G., & For the SMBG Study Group
- Affiliations
- Asklepios Klinik Barmbek (DE)
- Catholic University of Applied Sciences (DE)
- Bayer (Germany) (DE)
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2002-11-01
- Volume
- 25
- Issue
- 11
- Pages
- 1928-1932
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2113488692
- Cited by
- 300
- References
- 13
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 4 · 2023: 5 · 2022: 7 · 2021: 3 · 2020: 3 · 2019: 8 · 2018: 6 · 2017: 8 · 2016: 15 · 2015: 9 · 2014: 17 · 2013: 13 · 2012: 17
- FWCI
- 7.31
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetes Care (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Bayer Vital
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Keywords
- self-monitoring of blood glucose, type 2 diabetes, glycemic control, HbA1c, blood glucose meters, nutrition counseling, well-being, depression, body weight, microalbumin, non-insulin-treated diabetes, treatment satisfaction
- MeSH terms
- Blood Glucose, Body Weight, Diabetes Mellitus, Type 2, Eating, Female, Follow-Up Studies, Humans, Male, Middle Aged, Reference Values, Self Care, Time Factors, Blood Glucose Self-Monitoring, Diet Records, Body Mass Index
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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