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已发表论文
2型糖尿病患者健康行为保护动机与电子健康素养：一项横断面研究
Received 23 October 2025
Accepted for publication 16 January 2026
Published 21 January 2026 Volume 2026:19 576440
DOI https://doi.org/10.2147/JMDH.S576440
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Dr David C. Mohr
Fang Chen,1 Juan Gao2
1Department of Nephrology and Endocrinology, The Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, 410005, People’s Republic of China; 2Department of Nursing, The Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, 410005, People’s Republic of China
Correspondence: Juan Gao, Department of Nursing, The Second Affiliated Hospital of Hunan University of Chinese Medicine, No. 233 Cai’e North Road, Kaifu District, Changsha, Hunan, 410005, People’s Republic of China, Email 254972748@qq.com
Background: This study aimed to identify distinct latent profiles (categories) of health behavior protection motivation among patients with type 2 diabetes using latent profile analysis. Subsequently, we compared e-health literacy levels across these patient categories and analyzed factors influencing protection motivation. The findings are intended to provide a scientific basis for precise diabetes management.
Methods: From January to March 2025, a cross-sectional survey was conducted on a convenience sample of 253 patients, and data were collected using relevant scales such as the health-related behavior protection motivation assessment. LPA was performed using Mplus 8.3 to identify motivational profiles. Binary logistic regression was applied to determine influencing factors.
Results: A total of 253 valid questionnaires were collected. Two latent profiles of health-related behavioral protection motivation were identified: the “high perceived cost–incentive-dependent group” (n = 91, 35.97%) and the “high sensitivity–high efficacy group” (n = 162, 64.03%). The total eHealth literacy score of the “high perceived cost–incentive-dependent group” was 100.35 ± 17.89, which was significantly lower than that of the “high sensitivity–high efficacy group” (110.76 ± 13.78), with a statistically significant difference (t = − 5.165, P < 0.001). Logistic regression analysis revealed that patients who monitored their blood glucose more than three times per week were 2.95 times more likely to have a higher level of protective motivation compared to those who did so three times or fewer (95% CI: 1.679– 5.197, P < 0.001).
Conclusion: There is population heterogeneity in health-related behavioral protection motivation among patients with type 2 diabetes. Frequency of blood glucose monitoring per week was identified as influencing factors of motivational profile membership. Differences in eHealth literacy levels were also observed between the two groups. Targeted interventions should be provided based on population characteristics to enhance motivation, improve electronic health literacy, and behavioral compliance.
Keywords: type 2 diabetes, health-related behavioral protection motivation, eHealth literacy, latent profile analysis, influencing factors
1Department of Nephrology and Endocrinology, The Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, 410005, People’s Republic of China; 2Department of Nursing, The Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, 410005, People’s Republic of China
Correspondence: Juan Gao, Department of Nursing, The Second Affiliated Hospital of Hunan University of Chinese Medicine, No. 233 Cai’e North Road, Kaifu District, Changsha, Hunan, 410005, People’s Republic of China, Email 254972748@qq.com
Background: This study aimed to identify distinct latent profiles (categories) of health behavior protection motivation among patients with type 2 diabetes using latent profile analysis. Subsequently, we compared e-health literacy levels across these patient categories and analyzed factors influencing protection motivation. The findings are intended to provide a scientific basis for precise diabetes management.
Methods: From January to March 2025, a cross-sectional survey was conducted on a convenience sample of 253 patients, and data were collected using relevant scales such as the health-related behavior protection motivation assessment. LPA was performed using Mplus 8.3 to identify motivational profiles. Binary logistic regression was applied to determine influencing factors.
Results: A total of 253 valid questionnaires were collected. Two latent profiles of health-related behavioral protection motivation were identified: the “high perceived cost–incentive-dependent group” (n = 91, 35.97%) and the “high sensitivity–high efficacy group” (n = 162, 64.03%). The total eHealth literacy score of the “high perceived cost–incentive-dependent group” was 100.35 ± 17.89, which was significantly lower than that of the “high sensitivity–high efficacy group” (110.76 ± 13.78), with a statistically significant difference (t = − 5.165, P < 0.001). Logistic regression analysis revealed that patients who monitored their blood glucose more than three times per week were 2.95 times more likely to have a higher level of protective motivation compared to those who did so three times or fewer (95% CI: 1.679– 5.197, P < 0.001).
Conclusion: There is population heterogeneity in health-related behavioral protection motivation among patients with type 2 diabetes. Frequency of blood glucose monitoring per week was identified as influencing factors of motivational profile membership. Differences in eHealth literacy levels were also observed between the two groups. Targeted interventions should be provided based on population characteristics to enhance motivation, improve electronic health literacy, and behavioral compliance.
Keywords: type 2 diabetes, health-related behavioral protection motivation, eHealth literacy, latent profile analysis, influencing factors