The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
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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Cites
Stratton, I. M. (2000) · BMJ · doi:10.1136/bmj.321.7258.405 · Cited by 9,059
Karter, A. J., Ackerson, L. M., Darbinian, J. A., D’Agostino, R. B., Ferrara, A., Liu, J., & Selby, J. V. (2001) · The American Journal of Medicine · doi:10.1016/s0002-9343(01)00742-2 · Cited by 595
Franciosi, M., Pellegrini, F., Berardis, G. D., Belfiglio, M., Cavaliere, D., Nardo, B. D., Greenfield, S., Kaplan, S. H., Sacco, M., Tognoni, G., et al. (2001) · Diabetes Care · doi:10.2337/diacare.24.11.1870 · Cited by 301
Self-citationHarris, M. I. (2001) · Diabetes Care · doi:10.2337/diacare.24.6.979 · Cited by 247
Self‐monitoring in Type 2 diabetes mellitus: a meta‐analysis
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Effect of adults' self-regulation of diabetes on quality-of-life outcomes.
Watkins, K. W., Connell, C. M., Fitzgerald, J. T., Klem, L., Hickey, T., & Ingersoll‐Dayton, B. (2000) · Diabetes Care · doi:10.2337/diacare.23.10.1511 · Cited by 148
Faas, A., Schellevis, F. G., & Eijk, J. T. M. V. (1997) · Diabetes Care · doi:10.2337/diacare.20.9.1482 · Cited by 139
Self-monitoring of blood glucose in overweight type 2 diabetic patients
Muchmore, D. B., Springer, J., & Miller, M. J. (1994) · Acta Diabetologica · doi:10.1007/bf00571954 · Cited by 112
Blonde, L., Ginsberg, B. H., Horn, S. D., Hirsch, I. B., James, B., Mulcahy, K., Nettles, A. T., Smout, R. J., & Wright, H. (2002) · Diabetes Care · doi:10.2337/diacare.25.1.245 · Cited by 57
American Diabetes Association (2002) · Diabetes Care · doi:10.2337/diacare.25.2007.s97 · Cited by 46
Research works printed but not linked: 1
- Siebolds M: Die Diabetikergruppensprechstunde. (Diabetes Group Counseling). 2nd ed (German). Berlin, De Gruyter Verlag, 1997
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Rodbard, H. W., Blonde, L., Ss, B., Brett, E. M., Cobin, R. H., Handelsman, Y., Hellman, R., Jellinger, P. S., Jovanovic, L. G., Levy, P., et al. (2007) · Endocrine Practice · doi:10.4158/ep.13.s1.1 · Cited by 695
Multiple risk factor interventions for primary prevention of coronary heart disease
Ebrahim, S. B. J., Taylor, F. C., Ward, K. J., Beswick, A. D., Burke, M., & Smith, G. D. (2011) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd001561.pub3 · Cited by 559
Advances in non-enzymatic glucose sensors based on metal oxides
Zhu, H., Li, L., Zhou, W., Shao, Z., & Chen, X. (2016) · Journal of Materials Chemistry B · doi:10.1039/c6tb02037b · Cited by 473
Polonsky, W. H., Fisher, L., Schikman, C. H., Hinnen, D. A., Parkin, C. G., Jelsovsky, Z., Petersen, B., Schweitzer, M., & Wagner, R. S. (2011) · Diabetes Care · doi:10.2337/dc10-1732 · Cited by 429
Farmer, A., Wade, A., Goyder, E., Yudkin, P., French, D., Craven, A., Holman, R., Kinmonth, A.-L., & Neil, A. (2007) · BMJ · doi:10.1136/bmj.39247.447431.be · Cited by 407
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
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