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. 2026 Jun 3;17:1856183. doi: 10.3389/fendo.2026.1856183

Factors associated with foot self care behavior among older adults with recurrent diabetic foot ulcer: a cross-sectional study

Liping Lin 1,†, Jianbing He 2,†, Hongjian Zhang 3, Aiwen Yang 1,*, Qiuni Cai 4,*
PMCID: PMC13272001  PMID: 42318203

Abstract

Background

Diabetic foot ulcers (DFU) are a severe complication of diabetes, with high recurrence rates and substantial clinical burden. Foot self-care behavior is essential for preventing ulcer recurrence, yet evidence specifically targeting older adults with recurrent DFU remains limited. This study aims to identify the factors associated with foot self-care behavior among older adults with recurrent diabetic foot ulcers.

Methods

A cross-sectional study was conducted using a purposive sampling technique among 170 older adults (≥60 years) with recurrent DFU recruited from the multidisciplinary diabetic foot clinics of three general hospitals in China between January 2023 and December 2024. The study adhered to the STROBE guidelines for cross-sectional studies. Data were collected using structured questionnaires, including the Nottingham Foot Care Assessment (NAFF), Foot Care Confidence Scale, Multidimensional Scale of Perceived Social Support, and Geriatric Depression Scale (GDS-15). Clinical characteristics were extracted from medical records. Multiple linear regression analysis was performed to identify factors associated with foot self-care behavior.

Results

The mean total NAFF score was 48.5 ± 10.2, indicating a moderate level of foot self-care. Foot care self-efficacy (β = 0.41, P < 0.001), receipt of foot care health education (β = 0.25, P = 0.001), perceived social support (β = 0.19, P = 0.008), and depressive symptoms (β = −0.17, P = 0.021) were factors associated with foot self-care behavior, collectively explaining 47.2% of the variance in foot self-care behavior (adjusted R² = 0.472).

Conclusion

Foot self-care behavior among older adults with recurrent DFU is moderate and is associated with modifiable psychosocial factors. Interventions targeting self-efficacy, health education, social support, and depressive symptoms may contribute to improved self-care and potentially reduce ulcer recurrence. Longitudinal and interventional studies are warranted to confirm these associations and evaluate clinical effectiveness.

Keywords: aged, cross-sectional studies, diabetes mellitus, diabetic foot, health behavior, recurrence, self-care

1. Introduction

Diabetes mellitus (DM) is a major global health challenge, with its prevalence projected to increase from 10.5% (536.6 million people) in 2021 to 12.2% (783.2 million people) by 2045, and its impact is particularly significant in the elderly population (1, 2). Diabetic foot ulcer (DFU) is one of the most severe complications, affecting approximately 18.6 million people worldwide annually (3, 4). DFU leads to serious clinical outcomes, including high rates of infection, amputation, and mortality (3). Crucially, the ulcer recurrence rate is extremely high, with approximately 40% of patients experiencing recurrence within 1 year and 65% within 5 years (5).

Foot self-care behavior is a core measure for preventing DFU and reducing recurrence rates (6). Despite this, patient adherence remains suboptimal, which directly contributes to ulcer recurrence (7–9). Factors associated with self-care include perceived family support, diabetes-related education, and self-care confidence (6, 10). However, patients with DFU generally exhibit low health literacy, and the cognitive decline frequently observed in the elderly population poses a significant barrier to effective preventive self-care (11, 12).

Crucially, research specifically targeting older adults with recurrent DFU is extremely limited (13). This population is uniquely challenged by advanced age, multimorbidity, and the cumulative physical and psychological burden of repeated ulcer trauma, which may profoundly affect their self-care behaviors. Therefore, this study aimed to identify the factors associated with foot self-care behavior among older adults with recurrent diabetic foot ulcer. By analyzing demographic, disease-related, and psychosocial variables, the findings are expected to provide a basis for developing targeted nursing interventions.

2. Methods

2.1. Study design and setting

This cross-sectional study was conducted between January 2023 and December 2025 at the multidisciplinary diabetic foot clinics of three general hospitals in China. The study adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines for cross-sectional studies (14). The study focused on older adults with recurrent DFU. Recurrent DFU was defined as the occurrence of a new foot ulcer at the same or a different site after complete healing of a previous ulcer, consistent with previous definitions and international guidelines (15).

2.2. Participants

2.2.1. Inclusion and exclusion criteria

Participants were eligible if they met the following criteria:

  1. aged 60 years or older;

  2. had a confirmed diagnosis of diabetes mellitus;

  3. had a physician-confirmed recurrent DFU at the time of recruitment;

  4. provided written informed consent.

Patients were excluded if they:

  1. had their first episode of DFU;

  2. had a diagnosed severe psychiatric disorder and cognitive impairment;

  3. were critically ill or hemodynamically unstable;

  4. had major lower-limb amputation above the ankle or any condition that precluded participation in the interview.

  5. refused or were unable to provide informed consent.

A purposive sampling technique was employed to consecutively recruit eligible participants from the study sites to ensure a representative sample of the target population.

2.2.2. Sample size

The required sample size was estimated using G*Power version 3.1. Based on Cohen’s conventions for behavioral and health research (16) and prior related studies (6, 10), a medium effect size (f² = 0.15) was specified for the multiple linear regression model, with a significance level of 0.05, a statistical power of 0.80, and 15 potential associated factors. The minimum required sample size was 139. Final recruitment yielded 170 participants. All participants signed informed consent and completed the study without dropout, satisfying the minimum sample size requirement.

2.3. Data collection instruments

2.3.1. Sociodemographic and clinical characteristics

A structured questionnaire was employed to collect sociodemographic information from the participants, including age, gender, marital status, educational level, and place of residence (rural, urban). Clinical characteristics were obtained through participant interviews and medical record reviews, encompassing diabetes duration, current diabetes treatment modalities (no medication, oral medication only, insulin injection only, oral medication combined with insulin injection), glycated hemoglobin (HbA1c), body mass index (BMI), smoking history, alcohol consumption history, diabetic peripheral neuropathy, hypertension, hyperlipidemia, and whether the participant had received foot care health education. Ulcer severity was assessed according to the Wagner classification system (17).

2.3.2. Foot self-care behavior

The Nottingham Foot Care Assessment (NAFF) was originally developed by Lincoln and colleagues, and later sinicized by Chinese scholars Li et al. (18) to evaluate patients’ foot self-care behaviors. The scale consists of five dimensions and 24 items, including foot inspection (3 items), foot cleaning (4 items), foot protection (5 items), footwear and sock selection (9 items), and healthcare-seeking behavior (3 items). A Likert 4-point scoring method is adopted, with total scores ranging from 0 to 72. The Cronbach’s α coefficient of the scale is 0.77, and the test-retest reliability is 0.76.

2.3.3. Foot care self-efficacy

Participants’ confidence in performing recommended foot care activities was measured using the Foot Care Confidence Scale (19). This 12−item, unidimensional self−report instrument assesses perceived ability to carry out essential foot self−care tasks. Each item is rated on a 5−point Likert scale, yielding a total score ranging from 12 to 60, with higher scores indicating greater foot care self−efficacy. In this study, the Cronbach’s α coefficient was 0.92.

2.3.4. Perceived social support

Perceived social support was measured using the Multidimensional Scale of Perceived Social Support (MSPSS) (20). This 12-item scale evaluates support from three sources: family (4 items), friends (4 items), and significant others (4 items). Items are rated on a 7-point Likert scale. Higher scores indicate stronger perceived social support. The Cronbach’s α coefficient in this study was 0.877.

2.3.5. Depressive symptoms

Depressive symptoms were assessed using the 15-item Geriatric Depression Scale (GDS-15), which is widely used in older populations (21). Each item is answered in a “yes/no” format. Higher scores indicate more severe depressive symptoms. The Cronbach’s α coefficient of the scale is 0.909.

2.4. Data collection procedure

Eligible participants were screened and identified by clinicians or wound care nurses. After eligibility screening, professionally trained research assistants approached potential participants to explain the study purpose and obtained written informed consent. To minimize interviewer bias, research assistants utilized a structured interview script with standardized prompts for each question. Inter-rater reliability was not formally assessed; however, all assistants underwent a full-day training session focused on standardized administration. Considering that some elderly individuals may have visual impairments, low literacy, or physical discomfort related to diabetic foot ulcers, the researchers assisted participants in completing questionnaires through face-to-face interviews in a quiet area of the clinic or ward to collect data. Each interview lasted approximately 20 to 30 minutes. The data collection process was scheduled to not interfere with the patients’ clinical care routines. Administrative approvals were obtained from all three participating hospitals before data collection commenced, and the study was approved by the Human Ethics Committee of Zhongshan Hospital of Xiamen University (Approval No. 2022-085). Participant confidentiality was ensured by de-identifying all data and restricting access to the research team.

2.5. Statistical analysis

Data analysis was performed using IBM SPSS Statistics version 23.0. All variables were analysed using descriptive statistics. The level of self-care behaviours according to demographic, disease-related and laboratory characteristics was analysed using an independent t test, ANOVA and Pearson’s correlation.

Multiple linear regression analysis was conducted with the total score of foot self-care behaviors as the dependent variable to identify factors associated with foot self-care behavior. Variables with a P-value < 0.05 in the univariate analysis were included in the multivariate model. Prior to interpreting the model, regression assumptions were tested, including linearity, independence of errors, homoscedasticity, normality of residuals, and multicollinearity. Multicollinearity was assessed using variance inflation factor (VIF) and tolerance values. A two-sided P-value < 0.05 was considered statistically significant. Additionally, post-hoc subgroup analyses were performed to explore the consistency of the identified associations across key clinical strata. Participants were dichotomized by age (<70 years vs. ≥70 years) and glycemic control level (HbA1c <7.5% vs. ≥7.5%). Interaction terms between each stratifying variable and the significant associated factors from the main model were tested in separate regression models.

2.6. Ethical considerations

This study was approved by the Human Ethics Committee of Zhongshan Hospital of Xiamen University (Approval No. 2022-085). All procedures were conducted in accordance with the Declaration of Helsinki. Written informed consent was obtained from all participants before enrollment. Participants were informed that their participation was voluntary, that they could withdraw at any time without affecting their treatment, and that all collected data would be kept confidential and used only for research purposes.

3. Results

3.1. Participant characteristics

A total of 170 elderly patients with recurrent diabetic foot ulcers were enrolled in this study. The age range was 60 to 85 years, with a mean age of (68.4 ± 5.6) years. Among them, 104 (61.2%) were male and 66 (38.8%) were female. The mean duration of diabetes was (15.2 ± 7.1) years, and the mean BMI was (24.1 ± 3.2) kg/m2. Regarding clinical characteristics, the mean HbA1c level was (8.3 ± 1.6)%. A history of smoking was reported by 82 participants (48.2%), and a history of alcohol consumption was reported by 53 participants (31.2%). Hypertension was present in 121 patients (71.2%), and hyperlipidemia was present in 98 patients (57.6%). Among the current diabetes treatment plans, oral medication alone was the most common regimen, accounting for 45.3% of cases. The participant characteristics are presented in Figure 1.

Figure 1.

Eleven labeled pie charts (A–K) presenting percentage data for different categorical variables. Variables include gender (A: 61.2 percent male, 38.8 percent female), education level (B: 57.6 percent junior high or below, 27.1 percent high school, 15.3 percent college or above), diabetes grade (C: 65.9 percent grade 1–2, 34.1 percent grade 3–4), residence (D: 63.5 percent urban, 36.5 percent rural), medication type (E: 45.3 percent oral medication only, 29.4 percent no medication, 18.8 percent oral medication plus insulin, 6.5 percent insulin only), and five pie charts (F–K) comparing “Yes” and “No” responses with varying proportions for different variables. Each chart uses distinct colors and labeled percentages.

Pie chart of participant characteristics. (A) Gender; (B) Education level; (C) Wagner Grade; (D) Residence; (E) Diabetes Treatment Regimen; (F) Alcohol consumption; (G) Hypertension; (H) Hyperlipidemia; (I) Diabetic peripheral neuropathy; (J) Received foot care health education; (K) Smoking history.

3.2. Scores of the scales

The total score of foot self-care behaviors (NAFF) for the 170 patients was (48.5 ± 10.2) points, indicating a moderate level. The scores for each dimension are detailed in Table 1. Scores of the psychosocial-related scales were as follows: foot care self-efficacy scored (32.4 ± 7.8) points, perceived social support scored (58.6 ± 12.4) points, and depressive symptoms (GDS-15) scored (6.1 ± 3.5) points.

Table 1.

Descriptive statistics of foot self-care behavior and psychosocial measures (N = 170).

Variable Actual range Mean ± SD
NAFF Foot Self-Care Behavior Total Score 22 – 69 48.5 ± 10.2
Foot inspection (3 items) 0 – 9 5.2 ± 1.8
Foot cleaning (4 items) 4 – 12 11.1 ± 2.1
Foot protection (5 items) 2 – 15 10.8 ± 3.2
Footwear and sock selection (9 items) 5 – 27 17.2 ± 4.5
Healthcare-seeking behavior (3 items) 0 – 9 4.2 ± 1.9
Foot Care Self-Efficacy Score 14 – 50 32.4 ± 7.8
Perceived Social Support Score (MSPSS) 24 – 84 58.6 ± 12.4
Depressive Symptoms Score (GDS-15) 0 – 14 6.1 ± 3.5

3.3. Univariate analysis of factors associated with foot self-care behavior

Categorical Variables (Table 2): Patients who had received foot care health education, those with a higher level of education, those with less severe ulcers (Wagner grades 1-2), those residing in urban areas, and those with comorbid hypertension demonstrated significantly higher scores in foot self-care behavior (P < 0.05). No statistically significant differences were found in the NAFF scores based on gender, marital status, smoking history, alcohol consumption history, hyperlipidemia, diabetic peripheral neuropathy, or different diabetes treatment regimen (P > 0.05).

Table 2.

Univariate analysis of factors associated with foot self-care behavior (NAFF score) (N = 170).

Variable Category NAFF score (mean ± SD) Statistic (t/F/r) P-value
Age (years) – – r=−0.08 0.298
Gender Male 48.1 ± 10.5 t=−0.58 0.564
Female 49.0 ± 9.7
Marital status Married 48.8 ± 10.1 t = 0.72 0.471
Unmarried/Widowed 47.5 ± 10.5
Education level Junior high or below 46.2 ± 9.8 F = 8.24 <0.001
High school 50.1 ± 9.5
College or above 53.4 ± 10.2
Residence Urban 49.8 ± 9.8 t = 2.45 0.015
Rural 46.1 ± 10.5
Diabetes duration (years) – – r=−0.11 0.154
HbA1c (%) – – r=−0.14 0.068
BMI (kg/m²) – – r = 0.06 0.439
Smoking history Yes 47.9 ± 10.4 t=−0.75 0.455
No 49.0 ± 10.0
Alcohol consumption Yes 48.2 ± 10.1 t=−0.32 0.748
No 48.7 ± 10.3
Hypertension Yes 49.6 ± 9.8 t = 2.18 0.031
No 46.0 ± 10.6
Hyperlipidemia Yes 48.9 ± 10.0 t = 0.61 0.545
No 48.0 ± 10.5
Diabetic peripheral neuropathy Yes 48.3 ± 10.1 t=−0.58 0.564
No 49.4 ± 10.7
Diabetes treatment regimen No medication 47.1 ± 11.2 F = 1.54 0.206
Oral medication only 49.2 ± 10.0
Insulin only 47.5 ± 10.3
Oral medication + Insulin 48.6 ± 10.1
Wagner Grade Grade 1-2 49.9 ± 9.6 t = 3.12 0.002
Grade 3-4 45.7 ± 10.8
Received foot care education Yes 52.8 ± 8.7 t = 5.89 <0.001
No 44.9 ± 9.9
Foot care self-efficacy – – r = 0.52 <0.001
Perceived social support – – r = 0.38 <0.001
Depressive symptoms (GDS-15) – – r=−0.35 <0.001

For categorical variables, independent samples t-test or one-way ANOVA was used; statistics presented as t-value or F-value. For continuous variables, Pearson correlation analysis was used; statistic presented as correlation coefficient r.

Continuous Variables: Pearson correlation analysis revealed that foot self-care behavior was significantly positively correlated with foot care self-efficacy (r = 0.52, P < 0.001) and perceived social support (r = 0.38, P < 0.001), and significantly negatively correlated with depression symptom scores (r = -0.35, P < 0.001). No significant correlations were observed between NAFF scores and age, duration of diabetes, body mass index (BMI), or HbA1c levels (P > 0.05). The detailed results of the univariate analysis are presented in Table 2.

3.4. Post-hoc subgroup analyses

In post−hoc subgroup analyses, the direction of associations between foot self−care behavior and the four identified factors (self−efficacy, health education, social support, depressive symptoms) remained consistent across age groups (<70 years vs. ≥70 years) and HbA1c levels (<7.5% vs. ≥7.5%). However, formal tests of interaction did not reach statistical significance for any of the stratifying variables (all P for interaction >0.05), likely due to the limited sample size within each stratum. These findings should be interpreted as exploratory and hypothesis−generating.

3.5. Multivariate linear regression analysis of factors associated with foot self-care behavior

Using the total score of the foot self-care behavior (NAFF score) as the dependent variable, variables that were statistically significant (P < 0.05) in the univariate analysis were included as independent variables in the multiple linear regression model. The assignment of independent variables is presented in Table 3. Prior to the regression analysis, assumption testing was conducted. The results indicated that the residuals followed a normal distribution with homoscedasticity, the tolerance for each independent variable was >0.6, and the VIF for each was <2.0, suggesting no issue of multicollinearity.

Table 3.

Independent variables and their coding for multiple linear regression analysis.

Independent variable Coding method
Education level Junior high or below = 1, High school = 2, College or above = 3
Residence Urban = 1, Rural = 0
Hypertension Yes = 1, No = 0
Wagner Grade Grade 1-2 = 1, Grade 3-4 = 2
Received foot care health education Yes = 1, No = 0
Foot care self-efficacy Continuous (original score)
Perceived social support Continuous (original score)
Depressive symptoms Continuous (original score)

The regression model was statistically significant (F = 18.74, P < 0.001), explaining 47.2% of the variance in foot self-care behavior (adjusted R² = 0.472). The results revealed that foot care self-efficacy (β = 0.41, P < 0.001), having been subjected to foot care health education (β = 0.25, P = 0.001), perceived social support (β = 0.19, P = 0.008), and depression symptoms (β = −0.17, P = 0.021) were factors associated with foot self-care behavior in elderly patients with recurrent diabetic foot. Detailed data are shown in Table 4.

Table 4.

Multiple linear regression analysis of factors associated with foot self-care behavior.

Variable Unstandardized coefficient (B) Standard error (SE) Standardized coefficient (β) t-value P-value
(Constant) 12.45 4.21 – 2.96 0.004
Foot care self-efficacy 0.54 0.10 0.41 5.62 <0.001
Received health education 5.10 1.48 0.25 3.45 0.001
Perceived social support 0.16 0.06 0.19 2.71 0.008
Depressive symptoms -0.50 0.21 -0.17 -2.33 0.021
Education level 1.24 0.98 0.09 1.27 0.207
Residence (Urban) 2.10 1.56 0.10 1.35 0.180
Hypertension (Yes) 1.56 1.62 0.07 0.96 0.337
Wagner Grade (Grade 3-4) -1.87 1.56 -0.08 -1.20 0.232

Model summary: R = 0.698, R2 = 0.487, Adjusted R2 = 0.472, F = 18.74, P<0.001.

4. Discussion

This study is the first to focus on the specific and vulnerable population of elderly patients with recurrent DFU, aiming to investigate the factors influencing their foot self-care behaviors. The results indicate that the overall level of foot self-care in this population is moderate, with considerable room for improvement. Multiple linear regression analysis ultimately identified four factors associated with foot self-care behavior: foot care self-efficacy, foot care health education, perceived social support, and depressive symptoms. Together, these four factors accounted for 47.2% of the variance in foot self-care behavior. These findings provide profound clinical guidance for developing targeted interventions to enhance self-care levels and reduce the risk of ulcer recurrence.

Foot care self−efficacy emerged as the strongest associated factor. This result aligns with prior evidence linking higher self−efficacy to better foot self−care in various diabetic populations (6, 22, 23). For example, Sezgunsay et al. (22) reported a comparable positive correlation between self−efficacy and foot care behavior in Turkish patients with DFU. A plausible explanation is that individuals who believe they can successfully perform foot care tasks are more likely to translate knowledge into consistent action. However, it is noteworthy that older adults with recurrent DFU may face a distinctive erosion of self−efficacy due to repeated treatment failures and ulcer relapses—a dynamic less pronounced in first−episode or ulcer−free high−risk populations (6). From our perspective, this underscores the importance of not merely imparting foot care knowledge, but deliberately rebuilding self−confidence through techniques such as mastery experiences, role modeling, and individualized encouragement, which may be especially critical in this recurrent−ulcer subgroup.

Receipt of foot care health education was another factor significantly associated with better self−care. A systematic review incorporating 26 studies demonstrated that diabetic foot education improved the knowledge level and behavioral compliance of patients with diabetes (24). Thomson et al. found that 39% of elderly patients with diabetes were unable to touch their toes, and only 14% of elderly patients were responsive to plantar lesions. This indicates that in the absence of supportive interventions, foot care education alone may not be sufficient to effectively reduce the incidence of foot problems in elderly diabetic patients (25). Notably, the target population of this study was older adults, who may experience issues such as cognitive decline and reduced learning capacity. We therefore argue that effective education must be multimodal, repetitive, and integrated with practical skill-building and caregiver involvement to overcome physical, sensory, and cognitive barriers.

Perceived social support was independently and positively associated with foot self−care. This is consistent with studies showing that patients who live with family or perceive stronger support exhibit better diabetic foot care (26, 27). Social support likely operates through both instrumental pathways and emotional pathways. In our view, the importance of social support is magnified in older adults with recurrent DFU, who frequently contend with multimorbidity, polypharmacy, and functional decline. Clinically, actively involving family members and primary caregivers in education and care plans represents a logical and feasible strategy to bolster the patient’s self−care capacity.

Depressive symptoms were negatively associated with foot self−care behavior. This finding corroborates the well−documented adverse impact of depression on diabetes self−care, including foot care (28, 29). Gonzalez et al. (30) prospectively showed that higher baseline depressive symptoms predicted poorer foot care adherence at follow−up. The recurrence of DFU, accompanied by chronic pain, limited mobility and fear of amputation, may create a vicious cycle: depressive symptoms reduce patients’ motivation for self-care, which in turn may lead to ulcer recurrence. It should be noted that our study used the GDS−15, a scale validated specifically for geriatric populations, whereas other studies have employed different instruments such as Harvard Department of Psychiatry/National Depression Screening Day Scale (HANDS) (31) and the 10-item Center for Epidemiologic Studies Depression Scale (CESD-10) (32); this methodological variation may partly account for subtle differences in reported effect sizes across the literature. Our results support the integration of routine depression screening into DFU care and suggest that even subclinical depressive symptoms warrant clinical attention to mitigate their potential impact on self−care behaviors.

Collectively, these findings suggest that clinical management of recurrent DFU should extend beyond localized wound care to incorporate structured psychosocial support. Interventions that simultaneously enhance self-efficacy, deliver tailored education, engage caregivers, and routinely screen for depressive symptoms may contribute to improved self-care behaviors. However, given the cross-sectional design, these associations should be viewed as hypothesis-generating rather than prescriptive. Longitudinal and interventional trials are needed to determine whether targeting these factors causally improves clinical outcomes and reduces recurrence rates.

5. Limitations

This study has several limitations. First, the cross-sectional design limits causal inference. Second, self-reported data may be subject to recall and social desirability bias. Third, the use of purposive sampling from only three medical centers in China may introduce selection bias and limit generalizability. Fourth, face-to-face interviews, while necessary for this population, could introduce interviewer bias despite standardized procedures. Fifth, although post-hoc subgroup analyses were conducted, the relatively modest sample size limited the statistical power for formal interaction tests, and thus potential effect modification by age or HbA1c could not be reliably examined. Finally, unmeasured confounding variables, such as cognitive function and health literacy levels, may have influenced the observed associations. Future research should employ longitudinal, multicenter designs and include detailed cognitive assessments.

6. Conclusion

In summary, this study found that foot self-care behaviors among elderly patients with recurrent DFU are at a moderate level and are significantly associated with multiple modifiable psychosocial factors, including self-efficacy, health education, social support, and depressive symptoms. Clinical interventions should adopt a multidimensional approach, focusing on enhancing self-confidence, providing individualized education, and mobilizing support systems. Future longitudinal studies are needed to determine whether targeting these factors can effectively improve self-care and reduce ulcer recurrence in this high-risk population.

Funding Statement

The author(s) declared that financial support was received for this work and/or its publication. This study was supported by the Xiamen Medical and Health Guidance Project, China (Grant NO. 3502Z20254ZD1124).

Footnotes

Edited by: Felix J. Klimitz, Yale University, United States

Reviewed by: Mohamed Goda Elbqry, Qassim University, Saudi Arabia

Nedret Tekin Kaya, Cankiri Karatekin University, Türkiye

Data availability statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding authors.

Ethics statement

The studies involving humans were approved by the Human Ethics Committee of Zhongshan Hospital, Xiamen University. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

LL: Conceptualization, Data curation, Investigation, Methodology, Writing – original draft, Writing – review & editing. JH: Conceptualization, Data curation, Investigation, Writing – original draft, Writing – review & editing. HZ: Conceptualization, Data curation, Writing – original draft, Writing – review & editing. AY: Conceptualization, Data curation, Writing – original draft, Writing – review & editing. QC: Investigation, Methodology, Supervision, Writing – original draft, Writing – review & editing.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declared that generative AI was not used in the creation of this manuscript.

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References

  • 1. Sun H, Saeedi P, Karuranga S, Pinkepank M, Ogurtsova K, Duncan BB, et al. IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Res Clin Pract. (2022) 183:109119. doi:  10.1016/j.diabres.2021.109119. PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. American Diabetes Association Professional Practice Committee . 13. Older adults: Standards of care in diabetes-2024. Diabetes Care. (2024) 47:S244–57. doi:  10.2337/dc24-S013. PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Armstrong DG, Tan T-W, Boulton AJM, Bus SA. Diabetic foot ulcers: A review. JAMA. (2023) 330:62–75. doi:  10.1001/jama.2023.10578. PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Zhang P, Lu J, Jing Y, Tang S, Zhu D, Bi Y. Global epidemiology of diabetic foot ulceration: a systematic review and meta-analysis. Ann Med. (2017) 49:106–16. doi:  10.1080/07853890.2016.1231932. PMID: [DOI] [PubMed] [Google Scholar]
  • 5. Armstrong DG, Boulton AJM, Bus SA. Diabetic foot ulcers and their recurrence. N Engl J Med. (2017) 376:2367–75. doi:  10.1056/NEJMra1615439. PMID: [DOI] [PubMed] [Google Scholar]
  • 6. Zhu X, Lee ES, Chan FHF, Lim PXH, Chen YC, Griva K. Foot self-care behaviour in primary care patients with diabetic foot ulcers: Structural equation modelling of psychological predictors. Int Wound J. (2024) 21:e14897. doi:  10.1111/iwj.14897. PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Ahmed MH, Husain NE, Elmadhoun WM, Noor SK, Khalil AA, Almobarak AO. Diabetes and Ramadan: A concise and practical update. J Family Med Prim Care. (2017) 6:11–8. doi:  10.4103/2249-4863.214964. PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Kim BK, Kim HY, Jin HY, Kim HJ. Exploring determinants of foot self-care behaviors across adherence levels in patients with diabetic foot ulcer history: A quantile regression approach. Nurs Health Sci. (2025) 27:e70139. doi:  10.1111/nhs.70139. PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Salameh BS, Abdallah J, Naerat EO. Case-control study of risk factors and self-care behaviors of foot ulceration in diabetic patients attending primary healthcare services in Palestine. J Diabetes Res. (2020) 2020:7624267. doi:  10.1155/2020/7624267. PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Kim EJ, Han K-S. Factors related to self-care behaviours among patients with diabetic foot ulcers. J Clin Nurs. (2020) 29:1712–22. doi:  10.1111/jocn.15215. PMID: [DOI] [PubMed] [Google Scholar]
  • 11. Simonsen MB, Christiansen SL, Pedersen MK, Røikjer J, Croosu SS, Leutscher PDC, et al. Health literacy and cognitive function in people with diabetic foot ulcer with focus on knowledge, attitude, and practice in relation to foot self-care. SAGE Open Med. (2024) 12:20503121241258841. doi:  10.1177/20503121241258841. PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Oztas B, Akyuz S, Oztas M, Güven HE, Yilmaz KB. Determination of diabetes health literacy levels of patients followed up with diabetic foot diagnosis: A cross-sectional descriptive study. Int J Low Extrem Wounds. (2025) 24:918–25. doi:  10.1177/15347346231179523. PMID: [DOI] [PubMed] [Google Scholar]
  • 13. Armstrong DG, Cohen K, Courric S, Bharara M, Marston W. Diabetic foot ulcers and vascular insufficiency: our population has changed, but our methods have not. J Diabetes Sci Technol. (2011) 5:1591–5. doi:  10.1177/193229681100500636. PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Vandenbroucke JP, von Elm E, Altman DG, Gøtzsche PC, Mulrow CD, Pocock SJ, et al. Strengthening the reporting of observational studies in epidemiology (STROBE): explanation and elaboration. Ann Intern Med. (2007) 147:W163–194. doi:  10.7326/0003-4819-147-8-200710160-00010-w1. PMID: [DOI] [PubMed] [Google Scholar]
  • 15. Bus SA, Lavery LA, Monteiro-Soares M, Rasmussen A, Raspovic A, Sacco ICN, et al. Guidelines on the prevention of foot ulcers in persons with diabetes (IWGDF 2019 update). Diabetes Metab Res Rev. (2020) 36:e3269. doi:  10.1002/dmrr.3269. PMID: [DOI] [PubMed] [Google Scholar]
  • 16. Cohen J. A power primer. Psychol Bull. (1992) 112:155–9. doi:  10.1037//0033-2909.112.1.155. PMID: [DOI] [PubMed] [Google Scholar]
  • 17. Wagner FW. The dysvascular foot: a system for diagnosis and treatment. Foot Ankle. (1981) 2:64–122. doi:  10.1177/107110078100200202. PMID: [DOI] [PubMed] [Google Scholar]
  • 18. Li J, Xing Q. Reliability and validity of the Chinese version of Nottingham Foot Care Assessment Scale. Chin J Pract Nurs. (2015) 31:450–3. doi:  10.3760/cma.j.issn.1672-7088.2015.06.021. PMID: 30704229 [DOI] [Google Scholar]
  • 19. Sloan HL. Developing and testing of the foot care confidence scale. J Nurs Meas. (2002) 10:207–18. doi:  10.1891/jnum.10.3.207.52564. PMID: [DOI] [PubMed] [Google Scholar]
  • 20. Zimet GD, Powell SS, Farley GK, Werkman S, Berkoff KA. Psychometric characteristics of the multidimensional scale of perceived social support. J Pers Assess. (1990) 55:610–7. doi:  10.1080/00223891.1990.9674095. PMID: [DOI] [PubMed] [Google Scholar]
  • 21. Greenberg SA. How to try this: The Geriatric Depression Scale: Short Form. AJN Am J Nurs. (2007) 107:60. doi:  10.1097/01.NAJ.0000292204.52313.f3. PMID: [DOI] [PubMed] [Google Scholar]
  • 22. Sezgunsay E, Urkan M, Deveci M. Diabetic foot care behavior and self-efficacy levels in individuals with diabetic foot ulcers in Turkey. J Tissue Viability. (2025) 34:100885. doi:  10.1016/j.jtv.2025.100885. PMID: [DOI] [PubMed] [Google Scholar]
  • 23. Ahmad Sharoni SK, Mohd Razi MN, Abdul Rashid NF, Mahmood YE. Self-efficacy of foot care behaviour of elderly patients with diabetes. Malays Fam Physician. (2017) 12:2–8. doi:  10.1136/bmjopen-2016-014393. PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Yıldırım Ayaz E, Dincer B, Oğuz A. The effect of foot care education for patients with diabetes on knowledge, self-efficacy and behavior: Systematic review and meta-analysis. Int J Low Extrem Wounds. (2022) 21:234–53. doi:  10.1177/15347346221109047. PMID: [DOI] [PubMed] [Google Scholar]
  • 25. Thomson FJ, Masson EA. Can elderly diabetic patients co-operate with routine foot care? Age Ageing. (1992) 21:333–7. doi:  10.1093/ageing/21.5.333. PMID: [DOI] [PubMed] [Google Scholar]
  • 26. Tsai M-C, Chuang H-L, Huang C-Y, Lee S-H, Liao W-C, Lee M-C, et al. Exploring the relationship of health beliefs and self-care behaviors related to diabetic foot ulcers of type II diabetes mellitus patients: A cross-sectional study. Int J Environ Res Public Health. (2021) 18:7207. doi:  10.3390/ijerph18137207. PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Naderimagham S, Niknami S, Abolhassani F, Hajizadeh E, Montazeri A. Development and psychometric properties of a new social support scale for self-care in middle-aged patients with type II diabetes (S4-MAD). BMC Public Health. (2012) 12:1035. doi:  10.1186/1471-2458-12-1035. PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Shrestha M, Al-Ghareeb A, Alenazi F, Gray R. Association between subthreshold depression and self-care behaviour in people with type 2 diabetes: a protocol for systematic review of observational studies. Syst Rev. (2019) 8:167. doi:  10.1186/s13643-019-1084-7. PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Gonzalez JS, Peyrot M, McCarl LA, Collins EM, Serpa L, Mimiaga MJ, et al. Depression and diabetes treatment nonadherence: a meta-analysis. Diabetes Care. (2008) 31:2398–403. doi:  10.2337/dc08-1341. PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Gonzalez JS, Safren SA, Delahanty LM, Cagliero E, Wexler DJ, Meigs JB, et al. Symptoms of depression prospectively predict poorer self-care in patients with type 2 diabetes. Diabetes Med. (2008) 25:1102–7. doi:  10.1111/j.1464-5491.2008.02535.x. PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Gonzalez JS, Safren SA, Cagliero E, Wexler DJ, Delahanty L, Wittenberg E, et al. Depression, self-care, and medication adherence in type 2 diabetes: relationships across the full range of symptom severity. Diabetes Care. (2007) 30:2222–7. doi:  10.2337/dc07-0158. PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Wang Y, Qi Y, An Z, Zhao M, Zhong Y, Wu Y, et al. Associations of self-management behaviors, depressive symptoms, and glycemic control on cognitive function in rural elderly with type 2 diabetes. Front Endocrinol (Lausanne). (2026) 17:1789318. doi:  10.3389/fendo.2026.1789318. PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding authors.


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