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

被引:0
|
作者
Zeng, Lin [1 ,2 ]
Zhang, Yan-Ping [3 ]
Zhang, Xin [1 ,2 ]
Chen, Jing-Feng [4 ]
Bai, Chao-Qun [4 ]
Lei, Xiao-Xue [4 ]
Fu, Gui-Fen [5 ]
机构
[1] Guangxi Acad Med Sci, Dept Geriatr Endocrinol & Metab, Nanning, Guangxi, Peoples R China
[2] Peoples Hosp Guangxi Zhuang Autonomous Reg, Nanning, Guangxi, Peoples R China
[3] Peoples Hosp Guangxi Zhuang Autonomous Reg, Dept Geriatr Endocrinol & Metab, Nanning, Guangxi, Peoples R China
[4] Peoples Hosp Guangxi Zhuang Autonomous Reg, Nanning, Guangxi, Peoples R China
[5] Peoples Hosp Guangxi Zhuang Autonomous Reg, Dept Nursing, Nanning, Guangxi, Peoples R China
来源
BMJ OPEN | 2025年 / 15卷 / 01期
关键词
China; Chronic Disease; DIABETES & ENDOCRINOLOGY; GLYCEMIC CONTROL; ASSOCIATION; LITERACY; QUALITY;
D O I
10.1136/bmjopen-2024-088891
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective The 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. Methods Between 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 chi 2 tests examined differences in glycaemic control rates across these categories. Multivariate logistic regression was used to analyse factors influencing glycaemic control. The glycaemic control rate was defined as the proportion of individuals whose HbA1c levels are less than 7.0%, indicating good control, in relation to the total number of individuals assessed. Results A 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). Conclusion Patients 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.
引用
收藏
页数:9
相关论文
共 36 条
  • [21] The relationship between serum γ-glutamyltransferase (GGT) and diabetic nephropathy in patients with type 2 diabetes mellitus: a cross-sectional study
    Dai, Huifang
    Zhu, Lielie
    Pan, Bilin
    Li, Hai
    Dai, ZhiJuan
    Su, Xiaoyou
    CLINICAL AND EXPERIMENTAL MEDICINE, 2023, 23 (07) : 3619 - 3630
  • [22] Association Between Physical Activity and Arterial Stiffness in Patients with Type 2 Diabetes in Ningbo, China: A Cross-Sectional Study
    Li, Xueyu
    Chattopadhyay, Kaushik
    Chen, Xiaoting
    Li, Jialin
    Xu, Miao
    Chen, Xueqin
    Li, Li
    DIABETES METABOLIC SYNDROME AND OBESITY, 2023, 16 : 4133 - 4141
  • [23] Factors influencing self-care behaviours of patients with type 2 diabetes in China based on the health belief model: a cross-sectional study
    Hu, Yue
    Liu, Huijun
    Wu, Jie
    Fang, Guixia
    BMJ OPEN, 2022, 12 (08):
  • [24] Gender differences of relationship between serum lipid indices and type 2 diabetes mellitus: a cross-sectional survey in Chinese elderly adults
    Ji, Xiao-Wei
    Feng, Guo-Shan
    Li, Hong-Lan
    Fang, Jie
    Wang, Jing
    Shen, Qiu-Ming
    Han, Li-Hua
    Liu, Ke
    Xiang, Yong-Bing
    ANNALS OF TRANSLATIONAL MEDICINE, 2021, 9 (02)
  • [25] Relationship between plasma homocysteine and chronic kidney disease in US patients with type 2 diabetes mellitus: a cross-sectional study
    Shen, Zilong
    Zhang, Zhengmei
    Zhao, Wenjing
    BMC NEPHROLOGY, 2022, 23 (01)
  • [26] Relationships among depression, anxiety, self-care behaviour and diabetes education difficulties in patients with type-2 diabetes: A cross-sectional questionnaire survey
    Wu, Shu-Fang Vivienne
    Huang, Yi-Ching
    Liang, Shu-Yuan
    Wang, Tsae-Jyy
    Lee, Mei-Chen
    Tung, Heng-Hsin
    INTERNATIONAL JOURNAL OF NURSING STUDIES, 2011, 48 (11) : 1376 - 1383
  • [27] Relationship between renal and liver function with diabetic retinopathy in patients with type 2 diabetes mellitus: a study based on cross-sectional data
    Yao, Xi
    Pei, Xiaoting
    Fan, Shuoning
    Yang, Xueke
    Yang, Yingrui
    Li, Zhijie
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [28] Comparative study of the influence of diabetes distress and depression on treatment adherence in Chinese patients with type 2 diabetes: a cross-sectional survey in the People's Republic of China
    Zhang, Jie
    Xu, Cui-ping
    Wu, Hong-xia
    Xue, Xiu-juan
    Xu, Ze-jun
    Li, Yan
    Gao, Qing
    Liu, Qing-zhi
    NEUROPSYCHIATRIC DISEASE AND TREATMENT, 2013, 9 : 1289 - 1294
  • [29] Using Patient Health Profile Evaluation for Predicting the Likelihood of Retinopathy in Patients with Type 2 Diabetes: A Cross-Sectional Study Using Latent Profile Analysis
    Chiou, Shang-Jyh
    Liao, Kuomeng
    Lin, Kuan-Chia
    Lin, Wender
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (10)
  • [30] Evaluation of the Relationship Between Self-Care and Treatment Compliance in Patients with Type 2 Diabetes: A Cross-Sectional Study from Northeast Turkiye
    Caner, Enver
    Kavuran, Esin
    MAKARA JOURNAL OF HEALTH RESEARCH, 2024, 28 (02):