Evidence map›Paper›PMID 42277355›Full record

ArticleScientific reports2026

Insufficient knowledge and moderate attitudes and practices regarding continuous glucose monitoring among patients with diabetes.

Feng Zhang, Zhenyuan Tang, Yating Ma, Yunle Zhang, Pingping Liang, Lianfeng Yang, Li Wang

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In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Feng ZhangDepartment of General Medicine, Runda Community Health Service Center, Wumenqiao Subdistrict, Gusu District, Suzhou City, China.
Zhenyuan TangDepartment of Geriatriatrics, Suzhou Municipal Hospital, Suzhou, 215000, China.
Yating MaDepartment of General Medicine, Runda Community Health Service Center, Wumenqiao Subdistrict, Gusu District, Suzhou City, China.
Yunle ZhangDepartment of General Medicine, Runda Community Health Service Center, Wumenqiao Subdistrict, Gusu District, Suzhou City, China.
Pingping LiangDepartment of General Medicine, Runda Community Health Service Center, Wumenqiao Subdistrict, Gusu District, Suzhou City, China.
Lianfeng YangDepartment of General Medicine, Runda Community Health Service Center, Wumenqiao Subdistrict, Gusu District, Suzhou City, China.
Li WangDepartment of General Medicine, Runda Community Health Service Center, Wumenqiao Subdistrict, Gusu District, Suzhou City, China. 18018137387@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuous glucose monitoring (CGM) has shown increasing application in diabetes management. This study aimed to explore the knowledge, attitudes, and practices (KAP) of patients with various types of diabetes towards CGM. A cross-sectional study was conducted in Runda Community Health Service Center, Suzhou, between October 23, 2023, and November 27, 2023. A self-administered questionnaire was developed to collect demographic information and KAP. Structural equation modeling (SEM) was employed to analyze the relationships between the KAP dimensions. A total of 576 participants were included, with a mean age of 66.37 ± 7.51 years. The mean KAP scores were 5.55 ± 5.33 (possible range: 0-22), 31.41 ± 4.22 (possible range: 10-50), and 12.85 ± 3.83 (possible range: 5-25), respectively. Positive correlations were observed between knowledge and attitude (r = 0.514, P < 0.001), knowledge and practice (r = 0.486, P < 0.001), and attitude and practice (r = 0.339, P < 0.001). SEM based on standardized coefficients showed that knowledge had a significant direct effect on attitude (β = 0.553, 95% CI 0.484-0.623, P < 0.001) and practice (β = 0.439, 95% CI 0.347-0.532, P < 0.001). In addition, knowledge exerted an indirect effect on practice through attitude (β = 0.160, 95% CI 0.098-0.222, P < 0.001). This study revealed insufficient knowledge, moderate attitude, and practice toward CGM among patients with diabetes in Suzhou, China. Educational and behavioral interventions are recommended, particularly for diabetes patients with advanced age, lower educational levels, and not having education and promotion on dynamic blood glucose monitors.

Indexed as

Continuous Glucose MonitoringDiabetes MellitusHealth Knowledge, Attitudes, PracticeAgedBlood GlucoseBlood Glucose Self-MonitoringChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesBlood GlucoseAttitudeContinuous glucose monitoringCross-sectional studiesDiabetes mellitusHealth knowledgePracticeStructural equation modeling

Identifiers

PMID42277355
PMCPMC13507236

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.