Evidence map›Paper›PMID 39842925›Full record

ArticleBMJ open2025

Relationship between the latent profiles of health information-seeking behaviour and glycated haemoglobin levels in patients with type 2 diabetes: a cross-sectional survey in rural areas of China.

Lin Zeng, Yan-Ping Zhang, Xin Zhang, Jing-Feng Chen, Chao-Qun Bai, Xiao-Xue Lei, Gui-Fen Fu

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Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Lin Zeng *Department of Geriatric Endocrinology and Metabolism, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Yan-Ping Zhang *Department of Geriatric Endocrinology and Metabolism, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Xin ZhangDepartment of Geriatric Endocrinology and Metabolism, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Jing-Feng ChenPeople's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Chao-Qun BaiPeople's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Xiao-Xue LeiPeople's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Gui-Fen FuDepartment of Nursing, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China fuguifencljl@outlook.com.ORCID http://orcid.org/0009-0008-8475-5262

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this study was to analyse the heterogeneity of health information-seeking behaviour (HISB) among patients with type 2 diabetes (T2D) in rural areas based on latent profiles and to explore the relationship between various behaviours and glycaemic control rates and the factors influencing glycaemic control rates.

methodsBetween January and July 2022, a stratified cluster random sampling method was used to sample T2D patients in the rural Guangxi Zhuang Autonomous Region. Participants completed a general information questionnaire and a HISB scale. Latent profile analysis (LPA) identified behaviour categories, and χ

resultsA total of 2178 valid questionnaires were received in this study, and respondents were divided into three categories according to the LPA of their HISB: negative (18.3%), occlusive (46.8%) and inefficient (34.9%). The glycaemic control rate of patients with T2D in rural areas was 22.6% (494/2178 cases). Multivariate logistic regression analysis revealed that the category of patients' HISB profile, age, course of disease and educational level were the factors influencing the glycaemic control rate (all p<0.05).

conclusionPatients with T2D in rural areas had poor glycaemic control and inadequate HISB. Three latent profile categories were identified that reflect the HISB of this group. We recommend that clinical medical professionals develop personalised health management education based on the various latent profile characteristics of patients to promote HISB and thereby achieve optimal glycaemic control.

Indexed as

Diabetes Mellitus, Type 2Glycated HemoglobinInformation Seeking BehaviorAdultAgedChinaCross-Sectional StudiesFemaleGlycemic ControlHumansLogistic ModelsMaleMiddle AgedRural PopulationSurveys and QuestionnairesGlycated Hemoglobinhemoglobin A1c protein, humanChinaChronic DiseaseDIABETES & ENDOCRINOLOGY

Identifiers

PMID39842925
PMCPMC11784155

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