Evidence mapPaperPMID 42415764Full record

ArticleFrontiers in public health2026

Habit strength as a partial explanation of the association between self-efficacy and self-management behaviors in type 2 diabetes: a multicenter cross-sectional study.

Yan Lin, Caihua Ye, Shuping Xing, Kaining Chen, Qiwei Zhou, Chengying Yu, Ying Zhou, Yane Yan, Wenfei Yang, Bin Li and 1 more

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Article in Frontiers in public health, 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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5 · Who and what money

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11 authors.

Yan Lin *School of Nursing, Hainan Medical University, Haikou, Hainan, China.
Caihua Ye *School of Nursing, Hainan Medical University, Haikou, Hainan, China.
Shuping XingDepartment of Endocrinology, Hainan General Hospital, Haikou, Hainan, China.
Kaining ChenDepartment of Endocrinology, Hainan General Hospital, Haikou, Hainan, China.
Qiwei ZhouSchool of Nursing, Hainan Medical University, Haikou, Hainan, China.
Chengying YuSchool of Nursing, Hainan Medical University, Haikou, Hainan, China.
Ying ZhouDepartment of Hyperbaric Oxygen, 928th Hospital of PLA Joint Logistics Support Force, Haikou, Hainan, China.
Yane YanSchool of Nursing, Hainan Medical University, Haikou, Hainan, China.
Wenfei YangSchool of Nursing, Hainan Medical University, Haikou, Hainan, China.
Bin Li *Department of Nursing Management, Hainan General Hospital, Haikou, Hainan, China.
Xinjun Jiang *School of Nursing, Hainan Medical University, Haikou, Hainan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While individual behavior is governed by both conscious control and unconscious automatic processes, the extent to which habit strength influences the relationship between self-efficacy and self-management behaviors in type 2 diabetes mellitus (T2DM) remains insufficiently quantified. Aims: To examine the associations among habit strength, self-efficacy, and diabetes self-management behaviors, and to explore whether habit strength may help explain the association between self-efficacy and diabetes self-management behaviors among patients with T2DM. Methods: This was a multicenter, cross-sectional study. A total of 292 patients with T2DM were recruited from four hospitals in Hainan Province, China. Self-efficacy, habit strength, and self-management behaviors were assessed using validated questionnaires. Associations among variables were examined using correlation. Path analysis was conducted using SPSS with the PROCESS macro to explore whether habit strength may explain the association between self-efficacy and self-management behaviors. Results: Patients demonstrated moderate levels of diabetes self-management behaviors (mean = 34.15 ± 13.51). Self-efficacy was positively associated with both habit strength and self-management behaviors, and habit strength was also positively associated with self-management behaviors. Path analysis suggested that habit strength may partially explain the association between self-efficacy and self-management behaviors, accounting for 18.6% of the total effect. Conclusion: Habit strength is associated with diabetes self-management behaviors and may partially explains the relationship between self-efficacy to behavioral performance in individuals with T2DM. Interventions that support habit formation may facilitate the application of patients' self-efficacy to sustained self-management behaviors. Incorporating strategies that reduce cognitive burden and promote automatic behavioral engagement may enhance the effectiveness of diabetes self-management support.

Indexed as

Diabetes Mellitus, Type 2HabitsSelf EfficacySelf-ManagementAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and Questionnairesbehavioral pathwayhabit strengthself-efficacyself-management behaviorstype 2 diabetes mellitus

Identifiers

PMID42415764
PMCPMC13337640

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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.