Evidence map›Paper›PMID 37880376›Full record

ArticleScientific reports2023

Diabetes knowledge predicts HbA1c levels of people with type 2 diabetes mellitus in rural China: a ten-month follow-up study.

Xiaoying Wang, Bo Tian, Shengfa Zhang, Jinsui Zhang, Weiping Yang, Jina Li, Weiwei Wang, Yuchen Wang, Weijun Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Xiaoying Wang *School of Social Development and Public Policy, Center for Behavioral Health, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0000-0003-0670-9988
Bo Tian *School of Social Development and Public Policy, Center for Behavioral Health, Beijing Normal University, Beijing, China.
Shengfa ZhangNational Population Heath Data Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jinsui ZhangSchool of Public Health, Fudan University, Shanghai, China.
Weiping YangYancheng Dafeng People's Hospital, Yancheng, Jiangsu Province, China.
Jina LiSchool of Social Development and Public Policy, Center for Behavioral Health, Beijing Normal University, Beijing, China.
Weiwei WangSchool of Sociology and Population Studies, Renmin University of China, Beijing, China.
Yuchen WangNorth China Electric Power University, Beijing, China.
Weijun ZhangSchool of Social Development and Public Policy, Center for Behavioral Health, Beijing Normal University, Beijing, China. zwj@bnu.edu.cn.ORCID http://orcid.org/0000-0003-3436-3371

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving diabetes self-management (DSM) is facing real-world challenges among people with type 2 diabetes mellitus (T2DM) who have a low education level in resource-limited areas. This study aimed to investigate whether diabetes knowledge could predict glycemic levels in people with T2DM in rural China. This analytical cross-sectional study recruited 321 people with T2DM from eight villages by purposive sampling at baseline. After 10 months, 206 patients completed the follow-up survey and HbA1c tests, with a response rate of 64.17% (206/321). Multiple regression analysis was employed to explore the correlation between diabetes knowledge and HbA1c levels. The patient's diabetes knowledge was significantly negatively correlated with HbA1c levels before and after controlling for covariates in both hierarchical multiple regression and multiple logistic regression (p < 0.01). In addition, other influencing factors, including sex, age, marital status, employment status, income, and HbA1c levels at baseline, were also identified. Diabetes knowledge could predict HbA1c levels significantly among patients with low education levels in rural China. Therefore, interventions on improving diabetes knowledge need to be strengthened for patients in rural China so that they can improve their health outcomes and reduce the disease burden.

Indexed as

Diabetes Mellitus, Type 2Blood GlucoseChinaCross-Sectional StudiesFollow-Up StudiesGlycated HemoglobinHumansBlood GlucoseGlycated Hemoglobin

Identifiers

PMID37880376
PMCPMC10600128

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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 OpenQuestion graph.