Published online Aug 19, 2026. doi: 10.5498/wjp.v16.i8.118680
Revised: March 13, 2026
Accepted: April 16, 2026
Published online: August 19, 2026
Processing time: 169 Days and 23.1 Hours
Lower extremity arteriosclerotic occlusive disease (LEAOD) is a prevalent chronic vascular condition that significantly increases the risk of lower limb dysfunction and depressive symptoms. Mindfulness-based interventions have demonstrated efficacy in improving mood and coping ability in patients with various chronic illnesses; however, their specific impact on the dual burden of depression and walking ability in patients with LEAOD remains unclear.
To explore mindfulness training impact on depression scores and walking ability in patients with LEAOD complicated with depression.
From September 2023 to October 2025, 176 patients with LEAOD and depression were enrolled and divided into the control (routine treatment/nursing, n = 93) and study (mindfulness training plus routine treatment/nursing, n = 83) groups. Baseline confounding factors were balanced between the groups using 1:1 propensity score matching, with 62 cases in each group. Depression scores, walking ability, self-efficacy, quality-of-life, and complications were compared between the two groups before the intervention, 8 weeks after the intervention, and at 1 month follow-up.
After 8 weeks of intervention and at 1 month follow-up, the Self-Rating Depression Scale score of the intervention group were 37.21 ± 5.32 and 30.76 ± 4.94 points, respectively, which were significantly lower than those of the control group (44.68 ± 5.77 and 38.94 ± 5.13 points) (P < 0.05). The pain-free walking distance in the intervention group were 243.06 ± 13.44 m and 263.35 ± 11.52 m, respectively, and the six-minute walk distances were 387.24 ± 15.22 m and 426.55 ± 13.02 m, respectively, both of which were higher than those of the control group (pain-free walking distance: 224.55 ± 11.87 m and 244.56 ± 10.43 m; six-minute walk distances: 364.45 ± 13.34 m and 307.06 ± 10.73 m) (P < 0.05). The Chinese Self-Efficacy Exercise Scale and MOS36-item short form health survey scores of the two groups were significantly higher than those before the intervention (P < 0.05). The total complication rate in the intervention group was 3.23% lower than that in the control group (14.52%) (P < 0.05).
Mindfulness training effectively alleviated depression and enhanced walking ability, self-efficacy, and quality-of-life in patients with LEAOD concomitant with depression, suggesting a valuable supplementary rehabilitation intervention.
Core Tip: This retrospective cohort study is the first to apply mindfulness training in patients with lower extremity arteriosclerotic occlusive disease and depression. Using propensity score matching to balance confounders, we found that mind
- Citation: Shi YX, Qin B, Wang XX, Sun YX, Wang XY, Kou J. Impact of mindfulness training on depression and walking ability in patients with lower extremity arteriosclerosis obliterans and depression. World J Psychiatry 2026; 16(8): 118680
- URL: https://www.wjgnet.com/2220-3206/full/v16/i8/118680.htm
- DOI: https://dx.doi.org/10.5498/wjp.v16.i8.118680
Lower extremity arteriosclerotic occlusive disease (LEAOD) is a chronic ischemic vascular disease with a high incidence in middle-aged and older individuals. According to a survey, more than 200 million patients have LEAOD worldwide, and approximately 8.5 million people in the United States are affected. Among them, 5%-10% of Americans aged 40 years and above have arteriosclerotic occlusive disease[1-3]. The disease mainly manifests as limb pain, intermittent claudi
Currently, the clinical treatment for LEAOD is primarily based on vascular recanalization surgery and drug treatment. Rehabilitation interventions focus on limb function training, while targeted interventions for patients’ psychological state are insufficient. Routine nursing care cannot effectively improve depression among patients[9,10]. Current management strategies aim to improve limb blood perfusion through revascularization (e.g., endovascular therapy, bypass surgery) and pharmacological interventions (e.g., antiplatelet agents, vasodilators), while rehabilitation mainly emphasizes supervised exercise training for functional recovery. However, these approaches largely overlook the psychological comorbidities that affect a substantial proportion of LEAOD patients. Although antidepressant medications are effective for depression, their use in LEAOD patients may be limited by potential drug-drug interactions (e.g., with antiplatelets or anticoagulants) and side effects, such as orthostatic hypotension[11,12], which could increase fall risk in this already vulnerable population. Psychological interventions, such as cognitive behavioral therapy, are underutilized in clinical practice due to limited accessibility and lack of integration into routine vascular care[13]. Therefore, there is an urgent need for a feasible, safe, and effective psychological intervention that can be seamlessly integrated into existing rehabilitation protocols for LEAOD patients with depression.
Mindfulness training, a psychological intervention method based on mindfulness-based stress reduction therapy, has been proven to have a significant effect on the emotional regulation of people with chronic pain, depression, and other diseases by guiding them to focus on the present, accept their own emotions and physical feelings, and avoid critical reactions[14,15]. In recent years, the application of mindfulness training in patients with chronic diseases, such as car
This retrospective study included clinical data from 176 patients diagnosed with LEAOD with depression who visited Henan Provincial People’s Hospital from September 2023 to October 2025. The inclusion criteria were as follows: (1) LEAOD diagnosis according to established criteria[18], confirmed by lower extremity arterial color Doppler ultrasound or computed tomography angiography showing arterial stenosis ≥ 50%; (2) Age between 45 and 80 years; (3) Meeting the diagnostic criteria for depressive states, with a Self-Rating Depression Scale (SDS) score ≥ 53[19]; (4) Clear consciousness, ability to communicate normally, and basic understanding and execution capabilities; and (5) Complete clinical data including baseline information, intervention measures, and follow-up data. The exclusion criteria included: (1) Severe limb ischemia (Rutherford classification ≥ 5) and presence of gangrene or ulcers that are not healing; (2) Coexisting severe cardiovascular diseases, hepatic or renal insufficiency, malignant tumors, or other serious organic diseases; (3) History of psychiatric disorders or cognitive impairment (Mini-Mental State Examination < 24); (4) Incomplete intervention over an eight-week period or missing follow-up data; and (5) Pregnant or breastfeeding women. This study was approved by the Ethics Committee of Henan Provincial People’s Hospital.
Based on differences in the intervention methods received by the patients, they were divided into an intervention group (n = 83) and a control group (n = 93). To minimize the impact of baseline confounding factors on the outcomes, propensity score matching (PSM) was employed using sex, age, disease duration, Fontaine stage, and comorbidities (hypertension, diabetes mellitus, and coronary heart disease) as covariates. A matching ratio of 1:1 was applied, resulting in each group containing 62 patients. A patient screening flowchart is presented in Figure 1.
Control group: Routine treatment and rehabilitation care for LEAOD. The specifics were as follows: (1) Routine treat
Study group: In addition to the control group’s regimen, an eight-week mindfulness training intervention was im
Baseline data: Patient demographics, such as sex, age, duration of illness, Rutherford classification levels, and comorbidities (hypertension and coronary heart disease) were collected from the hospital's electronic medical record system.
Depression scores: Depression scores were obtained before the intervention at baseline assessment, at eight weeks post-intervention follow-up, and one month later using the SDS. The scale consists of 20 items rated on four levels; total scores below 53 indicate normality, scores between 53 and 62 denote mild depression; 63 to 72 indicates moderate depression; and scores above 72 indicate severe depression[19].
Walking ability assessment: Walking ability was evaluated before the intervention, eight weeks post-intervention, and at one month follow-up using the six-minute walk distance (6MWD) and pain-free walking distance (PFWD). A quiet and straight indoor corridor measuring 30 m was selected, with markers placed every 3 m on the floor (a red tape was used to mark the starting point, and orange cones denoted turnaround points). The patients walked back-and-forth along this corridor at their maximum speed for 6 minutes, taking breaks if they experienced breathlessness or fatigue, but the timing continued throughout rest periods. A vascular surgery nurse or intern accompanied the patients, closely monitoring patient status, recording distances walked until claudication occurred, and defining that segment’s distance as PFWD. Total distance covered within 6 minutes was recorded. Larger values in both measures indicate lesser impairment in patients’ ambulation.
Self-efficacy evaluation: Self-efficacy was assessed pre-intervention, at eight weeks post-intervention, and at 1-month follow-up using the Chinese Self-Efficacy Exercise Scale (SEE-C)[20]. The SEE-C comprises nine items assessing patients’ confidence regarding physical activity under various conditions. Scores range from zero (no confidence) to ten (the highest level of assurance), with 90 being the maximum score. Higher SEE-C values reflect stronger self-efficacy concerning exercise.
Lifestyle quality measurement: The MOS36-item short form health survey (SF-36)[21] was administered prior to and eight weeks after intervention and at 1-month follow-up to evaluate quality-of-life across dimensions including functional capacity, physiological functioning, bodily pain, general health vitality, social functioning, emotional role, and mental health. The scale has a total score of hundred, correlating positively with overall life satisfaction.
Adverse events monitoring: Complications that arose during interventions alongside subsequent occurrences, including re-stenosis, skin infections, delayed wound healing, pressure ulcers, etc.
Two researchers independently extracted data from electronic medical records. Prior to data extraction, both researchers received standardized training, which included a detailed explanation of the study protocol, uniform definitions of all variables (e.g., demographic characteristics, SDS scores, PFWD, 6MWD), and hands-on practice using a standardized data collection form. The training lasted for two days and was followed by a pilot test on 20 randomly selected records to ensure inter-rater reliability (kappa > 0.85). Logical checks were performed on scoring data, eliminating anomalies, and PSM was applied to balance baseline confounding factors and enhance comparability between the groups.
Statistical analysis were conducted via SPSS software, version 27 (IBM Corp., Armonk, NY, United States). Patient demographic information was matched using PSM in a 1:1 ratio established below 0.2. Normal distribution metrics are expressed as mean ± SD, and independent sample t-tests were used to compare the groups. Count data were expressed as n (%), and the χ2 test was used for comparison between the groups. A significance threshold was established at P < 0.05, indicating statistically meaningful differences between groups.
Before matching, no significant differences existed between the two groups in sex, age, hypertension, diabetes, or coronary heart disease (P > 0.05), while significant differences were observed in disease course and Fontaine stage (P < 0.05). After PSM, 62 pairs were successfully matched, and no statistically significant differences were found between the two groups in any baseline characteristics, including sex, age, disease course, Fontaine stage, hypertension, diabetes, and coronary heart disease (all P > 0.05; Table 1).
| Items | Before matching | χ2/t | After matching | χ2/t | ||||
| Intervention group | Control group | Intervention group | Control group | |||||
| Sex | 0.028 | 0.867 | 0.035 | 0.852 | ||||
| Male | 51 (61.45) | 56 (60.22) | 39 (62.90) | 40 (64.52) | ||||
| Female | 32 (38.55) | 37 (39.78) | 23 (37.10) | 22 (35.48) | ||||
| Age (years) | 61.04 ± 7.31 | 60.99 ± 7.47 | 0.042 | 0.967 | 61.15 ± 7.37 | 62.11 ± 7.13 | 0.743 | 0.459 |
| Course of disease (years) | 2.65 ± 0.66 | 2.28 ± 0.68 | 0.604 | < 0.001 | 2.49 ± 0.60 | 2.46 ± 0.64 | 0.231 | 0.817 |
| Rutherford grade | 7.996 | 0.018 | 0.254 | 0.881 | ||||
| I-II | 42 (50.60) | 65 (69.89) | 38 (61.29) | 36 (38.71) | ||||
| III | 30 (48.39) | 17 (18.28) | 15 (18.07) | 15 (16.13) | ||||
| IV | 11 (13.25) | 11 (11.83) | 9 (10.84) | 11 (11.83) | ||||
| Hypertension | 0.189 | 0.664 | 0.576 | 0.448 | ||||
| Yes | 26 (31.33) | 32 (34.41) | 23 (27.71) | 19 (30.65) | ||||
| No | 57 (91.94) | 61 (65.59) | 39 (46.99) | 43 (69.35) | ||||
| Diabetes | 0.330 | 0.565 | 0.827 | 0.363 | ||||
| Yes | 29 (34.94) | 18 (19.35) | 14 (22.58) | 10 (16.13) | ||||
| No | 64 (77.11) | 75 (80.65) | 48 (77.42) | 52 (83.87) | ||||
| Coronary heart disease | 0.090 | 0.764 | 0.000 | 1.000 | ||||
| Yes | 12 (14.46) | 12 (12.90) | 8 (12.90) | 8 (12.90) | ||||
| No | 71 (85.54) | 81 (87.10) | 54 (87.10) | 54 (87.10) | ||||
Before the intervention, the SDS score of the intervention and control groups was 60.64 ± 5.42 and 60.03 ± 5.39 points, respectively. There was no significant difference between the two groups (P > 0.05). After 8 weeks of the intervention and at 1-month follow-up, the SDS scores of the intervention group were 37.21 ± 5.35 and 30.76 ± 4.94 points, respectively, and those of the control group were 44.68 ± 5.77 and 38.94 ± 5.13 points, respectively. The scores for the intervention group were lower than those for the control group (P < 0.05, Figure 2).
Before the intervention, the PFWDs and 6MWDs of the intervention group were 152.16 ± 14.41 points and 303.97 ± 2.87 m, respectively while those of the control group were 151.85 ± 15.65 points and 304.58 ± 2.75 m, respectively. After 8 weeks of intervention and at the 1-month follow-up, the PFWD of the study group was 243.06 ± 13.44 and 263.35 ± 11.52 points, respectively and those for the 6MWD were 387.24 ± 15.22 m and 426.55 ± 13.02 m, respectively. The PFWDs for the control group were 224.55 ± 11.87 and 244.56 ± 10.43 points, respectively, and the 6MWDs were 364.45 ± 13.34 m and 307.06 ± 10.73 m, respectively. There was no significant difference between the two groups before the intervention (P > 0.05). After 8 weeks of the intervention and at the 1-month follow-up, the PFWDs and 6MWDs for the intervention group were significantly higher than those for the control group (P < 0.05, Figure 3).
Before the intervention, there was no significant difference in the SEE-C scores between the two groups (intervention group: 51.55 ± 2.03 points vs control group: 51.76 ± 1.96 points, P > 0.05). After 8 weeks of intervention, the SEE-C scores in both groups increased compared with baseline, with the study group scoring 74.45 ± 7.54 points and the control group scoring 67.55 ± 8.20 points, showing a significantly higher score in the study group (P < 0.001). At 1-month follow-up, the SEE-C score in the study group further increased to 79.82 ± 4.51 points, while the control group scored 71.95 ± 5.20 points, and the difference remained statistically significant (P < 0.001). These results are presented in Table 2.
| Group | Before intervention | After 8 weeks of intervention | At 1 month follow-up |
| Intervention group (n = 62) | 51.55 ± 2.03 | 74.45 ± 7.54 | 79.82 ± 4.51 |
| Control group (n = 62) | 51.76 ± 1.96 | 67.55 ± 8.20 | 71.95 ± 5.20 |
| t | 0.584 | 4.877 | 8.998 |
| P value | 0.560 | < 0.001 | < 0.001 |
Before the intervention, there was no significant difference in the SF-36 scores between the two groups (P > 0.05). After 8 weeks of the intervention and at the 1-month follow-up, the scores for each dimension of the SF-36 in both groups were higher than those before the intervention, and the scores for the intervention group were significantly higher than those for the control group (P < 0.05, Table 3).
| Dimensions | Intervention group (n = 62) | Control group (n = 62) | t | P value | |
| Life function | Before intervention | 56.15 ± 5.33 | 55.45 ± 5.61 | 0.705 | 0.482 |
| After 8 weeks of intervention | 70.65 ± 6.35 | 66.71 ± 6.14 | 3.508 | < 0.001 | |
| At 1 month follow-up | 80.11 ± 6.53 | 74.15 ± 6.87 | 4.957 | < 0.001 | |
| Physiological functions | Before intervention | 56.24 ± 5.24 | 56.44 ± 5.12 | 0.208 | 0.835 |
| After 8 weeks of intervention | 69.85 ± 5.74 | 63.88 ± 4.95 | 6.214 | < 0.001 | |
| At 1 month follow-up | 81.21 ± 5.63 | 74.85 ± 5.94 | 6.109 | < 0.001 | |
| Body pain | Before intervention | 47.53 ± 5.66 | 48.32 ± 5.15 | 0.813 | 0.418 |
| After 8 weeks of intervention | 65.19 ± 5.43 | 59.03 ± 5.27 | 6.409 | < 0.001 | |
| At 1 month follow-up | 75.16 ± 6.11 | 67.34 ± 5.65 | 7.402 | < 0.001 | |
| Overall health | Before intervention | 51.84 ± 5.56 | 52.06 ± 5.33 | 0.231 | 0.818 |
| After 8 weeks of intervention | 68.85 ± 5.52 | 62.93 ± 6.11 | 5.657 | < 0.001 | |
| At 1 month follow-up | 82.32 ± 6.13 | 74.82 ± 6.32 | 6.703 | < 0.001 | |
| Vitality | Before intervention | 52.79 ± 5.60 | 53.71 ± 5.18 | 0.949 | 0.345 |
| After 8 weeks of intervention | 67.74 ± 4.72 | 62.77 ± 4.89 | 5.758 | < 0.001 | |
| At 1 month follow-up | 76.85 ± 5.01 | 70.11 ± 4.95 | 7.540 | < 0.001 | |
| Social functions | Before intervention | 55.11 ± 5.27 | 54.21 ± 5.17 | 0.963 | 0.337 |
| After 8 weeks of intervention | 68.44 ± 4.85 | 62.02 ± 5.76 | 4.618 | < 0.001 | |
| At 1 month follow-up | 79.68 ± 6.26 | 72.32 ± 6.09 | 6.634 | < 0.001 | |
| Emotional function | Before intervention | 51.10 ± 4.82 | 51.71 ± 4.46 | 0.736 | 0.463 |
| After 8 weeks of intervention | 67.37 ± 5.61 | 61.37 ± 6.65 | 5.432 | < 0.001 | |
| At 1 month follow-up | 78.65 ± 6.13 | 71.87 ± 6.51 | 5.964 | < 0.001 | |
| Mental health | Before intervention | 56.37 ± 4.65 | 56.82 ± 4.79 | 0.533 | 0.595 |
| After 8 weeks of intervention | 69.11 ± 6.33 | 62.54 ± 5.71 | 6.066 | < 0.001 | |
| At 1 month follow-up | 78.53 ± 6.81 | 70.63 ± 6.13 | 6.791 | < 0.001 |
The total complication rate in the intervention group (3.23%) was lower than that in the control group (14.52%) (P < 0.05, Table 4).
| Group | Vascular restenosis | Skin infection | Delayed healing of incision | Skin ulcer | Total complications (%) |
| Intervention group (n = 62) | 1 (1.61) | 0 (0.00) | 1 (1.61) | 0 (0.00) | 2 (3.23) |
| Control group (n = 62) | 3 (4.84) | 2 (3.23) | 3 (4.84) | 1 (1.61) | 9 (14.52) |
| χ2 | 4.888 | ||||
| P value | 0.027 |
This study focused on the intervention value of mindfulness training in patients with LEAOD complicated with de
The study results indicated that after an 8-week intervention and a 1-month follow-up, the SDS scores of patients in the intervention group were significantly lower than those of patients in the control group. Additionally, the PFWDs and 6MWDs of the intervention group were notably superior to those of the control group (P < 0.05). This suggests that mindfulness training can effectively improve depressive symptoms and enhance walking ability in patients with LEAOD combined with depression, which is consistent with the findings from multiple studies conducted on patients with chronic diseases[24,25]. Mindfulness training may alleviate depression through various mechanisms. In a randomized controlled trial on anxiety disorders, Hoge et al[26] found that mindfulness practice was associated with enhanced regulatory function of the prefrontal cortex over the amygdala, potentially serving as a key neural mechanism for alleviating negative emotions. From the perspective of neuroplasticity, mindfulness training enhances emotional memory encoding by improving hippocampal volume and functional connectivity while increasing cognitive reappraisal capacity regarding pain signals via the anterior cingulate cortex[27]. For patients with LEAOD, pain induced by walking often triggers catastrophic thinking; however, mindfulness training helps these patients dissociate from such negative thoughts by fostering a non-judgmental awareness of their present experiences, thereby alleviating emotional distress. Regarding the improvements in walking ability, the mechanisms may be more behavioral and psychological. Depression is fre
Furthermore, our study revealed that after an 8-week intervention followed by a one-month follow-up period, SEE-C and SF-36 dimension scores were higher in the intervention group than in the control group (P < 0.05). The overall complication rate in the intervention group was recorded at 3.23%, significantly lower than that observed within the control group (14.52%; P < 0.05). These results suggest that mindfulness training can effectively enhance self-efficacy and quality-of-life among patients with LEAOD experiencing depressive states while demonstrating good safety profiles. Self-efficacy is a critical predictor of health behavioral changes among patients with chronic disease[31]. As participants experience increased control over negative thoughts and discomfort through mindful practice, their confidence in exercise adherence, which constitutes the core motivation necessary for sustaining long-term rehabilitation efforts, also increases. Quality-of-life enhancement attributed to mindfulness training likely operates by reducing psychological distress while bolstering coping abilities against disease challenges. These mechanisms comprehensively elevate sub
Despite the above valuable findings, this study has certain limitations. It is a single-center retrospective investigation necessitating multi-center validation for broader applicability; objective indicators, such as serum inflammatory factors or neurotransmitters remain unmeasured, warranting further exploration into the underlying mechanisms. In addition, the follow-up duration spanned only 3 months, requiring extended tracking to determine the long-term effects. Future pro
In summary, mindfulness training is effective for ameliorating depressive symptoms while enhancing walking capa
| 1. | Song P, Rudan D, Zhu Y, Fowkes FJI, Rahimi K, Fowkes FGR, Rudan I. Global, regional, and national prevalence and risk factors for peripheral artery disease in 2015: an updated systematic review and analysis. Lancet Glob Health. 2019;7:e1020-e1030. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 1121] [Cited by in RCA: 954] [Article Influence: 136.3] [Reference Citation Analysis (0)] |
| 2. | Criqui MH, Matsushita K, Aboyans V, Hess CN, Hicks CW, Kwan TW, McDermott MM, Misra S, Ujueta F; American Heart Association Council on Epidemiology and Prevention; Council on Arteriosclerosis, Thrombosis and Vascular Biology; Council on Cardiovascular Radiology and Intervention; Council on Lifestyle and Cardiometabolic Health; Council on Peripheral Vascular Disease; and Stroke Council. Lower Extremity Peripheral Artery Disease: Contemporary Epidemiology, Management Gaps, and Future Directions: A Scientific Statement From the American Heart Association. Circulation. 2021;144:e171-e191. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 323] [Cited by in RCA: 568] [Article Influence: 113.6] [Reference Citation Analysis (1)] |
| 3. | Chaturvedi A, Castro-Dominguez Y, Gertz ZM, Lawson BD, Chandrika P, Gupta R, Milioglou I, Sung JG, Desai NR, Vetrovec G, Kochar A, Guha A. Patterns of Care and Outcomes of Ambulatory Endovascular Interventions in Lower Extremity Peripheral Arterial Disease. Am J Cardiol. 2023;194:17-26. [RCA] [PubMed] [DOI] [Full Text] [Cited by in RCA: 3] [Reference Citation Analysis (0)] |
| 4. | Fard B, Dijkstra PU; NEDA Study Group, Voesten HGJM, Geertzen JHB. Mortality, Reamputation, and Preoperative Comorbidities in Patients Undergoing Dysvascular Lower Limb Amputation. Ann Vasc Surg. 2020;64:228-238. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 10] [Cited by in RCA: 33] [Article Influence: 4.7] [Reference Citation Analysis (0)] |
| 5. | Liu X, Wang Q, Qiu T, Huang W, Wang K, Xiao Y, Liu Y. Knowledge, Attitudes, and Practices of Lower Limb Arteriosclerosis Obliterans among Patients: A Latent Profile Analysis. Ann Vasc Surg. 2026;123:468-478. [RCA] [PubMed] [DOI] [Full Text] [Cited by in RCA: 1] [Reference Citation Analysis (0)] |
| 6. | Wang XG, Wang Y, Gao Y, Lu R, Guan ZY, Chen SY. Investigation and risk factor analysis of anxiety and depression in patients with lower extremity arteriosclerosis obliterans. World J Psychiatry. 2025;15:105760. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in RCA: 1] [Reference Citation Analysis (3)] |
| 7. | Wang CN, Liu CW, Lai ZC, Wu LF, Hong X, Liu B. [Logistic Regression Analysis of Depression in Arteriosclerosis Obliterans Patients and Its Risk Factors]. Zhongguo Yi Xue Ke Xue Yuan Xue Bao. 2015;37:557-561. [RCA] [PubMed] [DOI] [Full Text] [Cited by in RCA: 1] [Reference Citation Analysis (0)] |
| 8. | He Y, Xie C, Xia Y, Rang J, Peng L. Humanistic care interventions in patients with lower extremity arteriosclerosis obliterans. Am J Transl Res. 2021;13:10527-10535. [PubMed] |
| 9. | Yuan YY, Cao WD, Zhang XH, Du RX, Wang XQ, Li J, Chen J, Yang JZ, Chen JQ. Application of E-coach chronic disease management model in rehabilitation management of patients with arteriosclerosis obliterans. J Health Popul Nutr. 2023;42:115. [RCA] [PubMed] [DOI] [Full Text] [Cited by in RCA: 6] [Reference Citation Analysis (0)] |
| 10. | Knyazeva TA, Badtieva VA, Trukhacheva NV. [Basic principles and approaches to medical rehabilitation of patients with atherosclerosis obliterans of lower limb arteries]. Vopr Kurortol Fizioter Lech Fiz Kult. 2021;98:54-61. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 1] [Cited by in RCA: 9] [Article Influence: 1.8] [Reference Citation Analysis (0)] |
| 11. | Richa K, El Batrouni E, Sarkis J, Abdo R, Aad S, Kassab I, Chahine MN. Exacerbation of Intracranial and Gastrointestinal Bleeding in Patients Above 50 Years of Age Co-treated With Antidepressants and Anticoagulants/Platelet Inhibitors at a Lebanese University Hospital. Cureus. 2025;17:e84033. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in RCA: 1] [Reference Citation Analysis (0)] |
| 12. | de Abajo FJ. Effects of selective serotonin reuptake inhibitors on platelet function: mechanisms, clinical outcomes and implications for use in elderly patients. Drugs Aging. 2011;28:345-367. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 127] [Cited by in RCA: 139] [Article Influence: 9.3] [Reference Citation Analysis (0)] |
| 13. | Parsons EM, Hiserodt M, Otto MW. Initial assessment of the feasibility and efficacy of a scalable digital CBT for generalized anxiety and associated health behaviors in a cardiovascular disease population. Contemp Clin Trials. 2023;124:107018. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 1] [Cited by in RCA: 5] [Article Influence: 1.7] [Reference Citation Analysis (0)] |
| 14. | Lenze EJ, Voegtle M, Miller JP, Ances BM, Balota DA, Barch D, Depp CA, Diniz BS, Eyler LT, Foster ER, Gettinger TR, Head D, Hershey T, Klein S, Nichols JF, Nicol GE, Nishino T, Patterson BW, Rodebaugh TL, Schweiger J, Shimony JS, Sinacore DR, Snyder AZ, Tate S, Twamley EW, Wing D, Wu GF, Yang L, Yingling MD, Wetherell JL. Effects of Mindfulness Training and Exercise on Cognitive Function in Older Adults: A Randomized Clinical Trial. JAMA. 2022;328:2218-2229. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 126] [Cited by in RCA: 105] [Article Influence: 26.3] [Reference Citation Analysis (0)] |
| 15. | Bäuerle A, Martus P, Erim Y, Schug C, Heinen J, Krakowczyk JB, Steinbach J, Damerau M, Bethge W, Dinkel A, Dries S, Mehnert-Theuerkauf A, Neumann A, Schadendorf D, Tewes M, Wiltink J, Wünsch A, Zipfel S, Graf J, Teufel M. Web-based mindfulness and skills-based distress reduction for patients with cancer: study protocol of the multicentre, randomised, controlled confirmatory intervention trial Reduct. BMJ Open. 2022;12:e056973. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 2] [Cited by in RCA: 7] [Article Influence: 1.8] [Reference Citation Analysis (0)] |
| 16. | Zhang H, Zhang X, Jiang X, Dai R, Zhao N, Pan W, Guo J, Fan J, Bao S. Mindfulness-based intervention for hypertension patients with depression and/or anxiety in the community: a randomized controlled trial. Trials. 2024;25:299. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in RCA: 14] [Reference Citation Analysis (0)] |
| 17. | Sayadi AR, Seyed Bagheri SH, Khodadadi A, Jafari Torababadi R. The effect of mindfulness-based stress reduction (MBSR) training on serum cortisol levels, depression, stress, and anxiety in type 2 diabetic older adults during the COVID-19 outbreak. J Med Life. 2022;15:1493-1501. [RCA] [PubMed] [DOI] [Full Text] [Cited by in RCA: 6] [Reference Citation Analysis (0)] |
| 18. | Lian W, Nie H, Yuan Y, Wang K, Chen W, Ding L. Clinical Significance of Endothelin-1 And C Reaction Protein in Restenosis After the Intervention of Lower Extremity Arteriosclerosis Obliterans. J Invest Surg. 2021;34:765-770. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 24] [Cited by in RCA: 24] [Article Influence: 4.8] [Reference Citation Analysis (0)] |
| 19. | Campbell MH, Maynard D, Roberti JW, Emmanuel MK. A comparison of the psychometric strengths of the public-domain Zung Self-rating Depression Scale with the proprietary Beck Depression Inventory-II in Barbados. West Indian Med J. 2012;61:483-488. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 13] [Cited by in RCA: 14] [Article Influence: 1.0] [Reference Citation Analysis (0)] |
| 20. | Lee LL, Perng SJ, Ho CC, Hsu HM, Lau SC, Arthur A. A preliminary reliability and validity study of the Chinese version of the self-efficacy for exercise scale for older adults. Int J Nurs Stud. 2009;46:230-238. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 39] [Cited by in RCA: 95] [Article Influence: 5.3] [Reference Citation Analysis (0)] |
| 21. | Larson JS. The MOS 36-item short form health survey. A conceptual analysis. Eval Health Prof. 1997;20:14-27. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 18] [Cited by in RCA: 23] [Article Influence: 0.8] [Reference Citation Analysis (0)] |
| 22. | Burgess DJ, Calvert C, Hagel Campbell EM, Allen KD, Bangerter A, Behrens K, Branson M, Bronfort G, Cross LJS, Evans R, Ferguson JE, Friedman JK, Haley AC, Leininger B, Mahaffey M, Matthias MS, Meis LA, Polusny MA, Serpa JG, Taylor SL, Taylor BC. Telehealth Mindfulness-Based Interventions for Chronic Pain: The LAMP Randomized Clinical Trial. JAMA Intern Med. 2024;184:1163-1173. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 26] [Cited by in RCA: 24] [Article Influence: 12.0] [Reference Citation Analysis (0)] |
| 23. | Gandhi A, Rajkumar R, Dakka SN, Sania J, Khurram F, Cabrera J, N L S. Mindfulness training for cardiovascular health in type 2 diabetes: A critical review. Curr Probl Cardiol. 2024;49:102833. [RCA] [PubMed] [DOI] [Full Text] [Cited by in RCA: 1] [Reference Citation Analysis (0)] |
| 24. | Chen YJ, Lee CH, Hsieh CJ, Liao PH, Chen YD, Chou KR, Guo SL, Chang LF, Lee TY. Effect of online mindfulness intervention on anxiety, depression, and stress in patients with chronic diseases. Explore (NY). 2025;21:103214. [RCA] [PubMed] [DOI] [Full Text] [Cited by in RCA: 2] [Reference Citation Analysis (0)] |
| 25. | Lin FL, Yeh ML. Walking and mindfulness improve the exercise capacity of patients with chronic obstructive pulmonary disease: A randomised controlled trial. Clin Rehabil. 2021;35:1117-1125. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 1] [Cited by in RCA: 11] [Article Influence: 2.2] [Reference Citation Analysis (0)] |
| 26. | Hoge EA, Bui E, Palitz SA, Schwarz NR, Owens ME, Johnston JM, Pollack MH, Simon NM. The effect of mindfulness meditation training on biological acute stress responses in generalized anxiety disorder. Psychiatry Res. 2018;262:328-332. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 162] [Cited by in RCA: 127] [Article Influence: 15.9] [Reference Citation Analysis (0)] |
| 27. | Hölzel BK, Carmody J, Evans KC, Hoge EA, Dusek JA, Morgan L, Pitman RK, Lazar SW. Stress reduction correlates with structural changes in the amygdala. Soc Cogn Affect Neurosci. 2010;5:11-17. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 433] [Cited by in RCA: 289] [Article Influence: 18.1] [Reference Citation Analysis (0)] |
| 28. | Lee SH, Cho SJ. Cognitive Behavioral Therapy and Mindfulness-Based Cognitive Therapy for Depressive Disorders. Adv Exp Med Biol. 2021;1305:295-310. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 37] [Cited by in RCA: 29] [Article Influence: 5.8] [Reference Citation Analysis (0)] |
| 29. | Johannsen M, Nissen ER, Lundorff M, O'Toole MS. Mediators of acceptance and mindfulness-based therapies for anxiety and depression: A systematic review and meta-analysis. Clin Psychol Rev. 2022;94:102156. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 2] [Cited by in RCA: 62] [Article Influence: 15.5] [Reference Citation Analysis (0)] |
| 30. | McDermott MM, Polonsky TS. Home-Based Exercise: A Therapeutic Option for Peripheral Artery Disease. Circulation. 2016;134:1127-1129. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 17] [Cited by in RCA: 29] [Article Influence: 3.6] [Reference Citation Analysis (0)] |
| 31. | Wong EML, Leung DYP, Sit JWH, Chan AWK, Chair SY. Prospective Validation of the Chinese Version of the Self-Efficacy for Exercise Scale Among Middle-Aged Patients With Coronary Heart Disease. Rehabil Nurs. 2020;45:74-79. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 8] [Cited by in RCA: 19] [Article Influence: 2.4] [Reference Citation Analysis (0)] |
| 32. | Poos JM, van den Berg E, Papma JM, van der Tholen FC, Seelaar H, Donker Kaat L, Kievit JA, Tibben A, van Swieten JC, Jiskoot LC. Mindfulness-Based Stress Reduction in Pre-symptomatic Genetic Frontotemporal Dementia: A Pilot Study. Front Psychiatry. 2022;13:864391. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 4] [Cited by in RCA: 5] [Article Influence: 1.3] [Reference Citation Analysis (0)] |
| 33. | Jalali D, Abdolazimi M, Alaei Z, Solati K. Effectiveness of mindfulness-based stress reduction program on quality of life in cardiovascular disease patients. Int J Cardiol Heart Vasc. 2019;23:100356. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 2] [Cited by in RCA: 14] [Article Influence: 2.0] [Reference Citation Analysis (0)] |