The Trajectory of Hypoglycaemia Problem‐Solving Ability in Patients With Diabetes and Its Impact on Quality of Life.

Aims: To identify different longitudinal trajectories of hypoglycaemia problem‐solving ability in patients with diabetes mellitus (DM) and explore their predictive factors. To examine the impact of these heterogeneous trajectories on quality of life. Design: This study adopted a prospective longitud...

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Publicado en:Journal of Clinical Nursing (John Wiley & Sons, Inc.) Vol. 35; no. 8; pp. 3474 - 3486
Autores principales: Cheng, Qianqian, Qiu, Jiahui, Han, Mengyao, Wan, Xiaoyu, Zhang, QiuYu, Xu, Ziwei, Zheng, Qianqian, Shi, Beixi, Zhang, Yu
Formato: research tables/charts Journal Article
Publicado: John Wiley & Sons, Inc. Aug2026
Acceso en línea:Ver este registro en EBSCOhost
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      jtl: Journal of Clinical Nursing (John Wiley & Sons, Inc.)
      issn: 09621067
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    pubinfo:
      dt: Aug2026
      vid: 35
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      pub: John Wiley & Sons, Inc.
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        10.1111/jocn.70336
        195290453
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        atl: The Trajectory of Hypoglycaemia Problem‐Solving Ability in Patients With Diabetes and Its Impact on Quality of Life.
      aug:
        au:
          Cheng, Qianqian
          Qiu, Jiahui
          Han, Mengyao
          Wan, Xiaoyu
          Zhang, QiuYu
          Xu, Ziwei
          Zheng, Qianqian
          Shi, Beixi
          Zhang, Yu
        affil: School of Nursing, Faculty of Medicine, Yangzhou University, Yangzhou Jiangsu Province, , China
      sug:
        subj:
          Hypoglycemia Prevention and Control
          Problem Solving Evaluation
          Diabetic Patients Psychosocial Factors
          Quality of Life Evaluation
          Sociodemographic Factors
          Human
          Male
          Female
          Adult
          Middle Age
          Aged
          Aged, 80 and Over
          Funding Source
          Prospective Studies
          Structural Equation Modeling
          Multiple Logistic Regression
          One-Way Analysis of Variance
          Univariate Statistics
          Multiple Linear Regression
          Hospitalization
          Patient Discharge
          Income
          Blood Glucose Monitoring
          Fear
          Support, Social
          Purposive Sample
          Data Analysis Software
          Descriptive Statistics
          Questionnaires
          Summated Rating Scaling
          Scales
          Repeated Measures
          Nonparametric Statistics
          Comparative Studies
          Chi Square Test
          Tertiary Health Care
          Hospitals, Special
          China
          Multicenter Studies
          Age Factors
          Diabetes Mellitus Complications
          Employment Status
          Educational Status
          Residence Characteristics
          Life Style
          Caregivers
          Odds Ratio
          Confidence Intervals
          Self Report
          Problem Solving
          Self-Efficacy Trends
          Glycemic Control
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Aged: 65+ years
          Aged, 80 & over
          Male
          Female
      ab: Aims: To identify different longitudinal trajectories of hypoglycaemia problem‐solving ability in patients with diabetes mellitus (DM) and explore their predictive factors. To examine the impact of these heterogeneous trajectories on quality of life. Design: This study adopted a prospective longitudinal design. Methods: A total of 272 patients who completed follow‐up were longitudinally assessed for their hypoglycaemia problem‐solving abilities over 6 months. Latent class growth modelling (LCGM) was used to identify heterogeneous trajectories of hypoglycaemia problem‐solving ability. Multiple logistic regression was conducted to determine predictors, while univariate ANOVA and multiple linear regression analysis were applied to explore the effects of heterogeneous trajectories on quality of life. Results: The overall level of hypoglycaemia problem‐solving ability in DM patients increased from hospitalisation to 1 month after discharge and gradually decreased from 3 to 6 months after discharge. LCGM identified three heterogeneous trajectories of hypoglycaemia problem‐solving ability. Results of multinomial logistic regression analysis showed that employment status, monthly income, frequency of blood glucose monitoring, fear of hypoglycaemia, and social support were predictors of heterogeneous trajectories of hypoglycaemia problem‐solving ability in DM patients. In addition, hypoglycaemia problem‐solving ability positively predicts quality of life. Conclusions: Our findings establish a critical theoretical foundation for designing and implementing effective interventions tailored to patients' distinct trajectories in diabetes management. Implications for the Profession and/or Patient Care: This study explores the trajectories and predictors of hypoglycaemia problem‐solving abilities in DM patients, providing a theoretical basis for nurses to guide patients in diabetes management. Impact: Research findings indicate that nurses should regularly assess the hypoglycaemia problem‐solving abilities in DM patients, and use trajectory subgroups to identify distinct patient characteristics in hypoglycaemia problem‐solving abilities in order to implement personalised interventions. Reporting Method: This study was based on the STROBE guideline. Patient or Public Contribution: No patient or public engagement. What Does This Paper Contribute to the Wider Global Clinical Community?: This study identified that the overall level of hypoglycaemia problem‐solving ability in DM patients shows an initial increase followed by a decline, with three heterogeneous trajectory groups: high‐level decline group, medium‐level fluctuation group and low‐level stable group.This study identifies the influencing factors of hypoglycaemia problem‐solving ability and provides evidence‐based suggestions, serving as a reference for clinical nursing practice.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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