Volume 22, Issue 3 (9-2025)                   J Res Dev Nurs Midw 2025, 22(3): 40-45 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Aramideh F, Mohammadi S, Shamsalinia A, Kaveh O. The effect of digital coloring on the level of state anxiety and pulse rate in elderly patients before diabetic foot ulcer surgery: A quasi-experimental study. J Res Dev Nurs Midw 2025; 22 (3) :40-45
URL: http://nmj.goums.ac.ir/article-1-2017-en.html
1- Student Research Committee, Health Research Institute, Babol University of Medical Sciences, Babol, Iran
2- Nursing Care Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran , sepidmohamadi@gmail.com
3- Nursing Care Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran
4- School of Nursing and Midwifery, Mazandaran University of Medical Sciences, Sari, Iran
Full-Text [PDF 547 kb]   (36 Downloads)     |   Abstract (HTML)  (280 Views)
Full-Text:   (13 Views)
 
 Introduction
The prevalence of diabetes has increased globally, and this disease has become a serious and chronic metabolic disease worldwide (1). In Asia, the Middle East and North Africa, this increase is more impressive than in other parts of the world (2). In this context, based on recent epidemiological studies in Iran, in addition to the increasing prevalence of diabetes, the prevalence of this disease has been estimated to be >10% of the total population of the country, which is a high level compared to the global prevalence (3,4).
Diabetes is one of the diseases that brings many complications over the years and the prevalence of complications such as ulcers, cardiovascular diseases, retinopathy, neuropathy and nephropathy is high in these patients (5). Diabetic foot ulcers are a serious complication in this group of patients, affecting around 18.6 million people worldwide each year, and are associated with an increased rate of amputation and death (6,7). Surgical debridement, weight-bearing decompression, treatment of lower limb ischemia and foot infections, and early referral to Specialty Medical Centers are the first line of treatment for diabetic foot ulcers (8,9). Diabetic foot ulcer is one of the most common causes of hospitalization of diabetics in Iran, and the rate of diabetic foot ulcers with subsequent amputation is 30.6% in Iranian hospitals (10,11). Diabetic foot ulcers affect the physical and psychological quality of life of these people and they suffer from constant anxiety due to the fear of infection, spreading of the wound and amputation (12,13). The level of state-trait anxiety before surgeries related to diabetic foot increases in patients due to the possibility of amputation and the discovery of a large wound during surgery (14).
A systematic review study in 2020 has indicated that diabetics with diabetic ulcers experience high levels of anxiety, stress, and depression (15). At the same time, the results of the studies represent that anxiety can slow down the wound healing process in these people (16). As this group of patients suffers from severe anxiety before surgery, they are usually given medication before surgery to combat the anxiety (17). However, the use of anti-anxiety and sedative medications before surgery is associated with various adverse effects, including respiratory depression, confusion, delirium, risk of falls, drowsiness, cardiac arrhythmias, and changes in blood pressure. These effects are exacerbated in elderly patients due to impaired liver and kidney function, as well as drug interactions (18,19). It is therefore recommended to take non-pharmacological measures to control their anxiety as much as possible (20). One of the methods to control anxiety is an art therapy that acts on the center of anxiety, emotions, and stress in the brain (Amygdala area) and somehow leads to relaxation of this area of the brain (21,22).
Several studies have pointed to the benefits of art therapy in reducing anxiety and positive changes in people's mood (23,24). According to the studies, art therapy seems to create a stable state and reduce anxiety by creating alpha waves and reducing beta waves in the brain (25-27). One of the methods of art therapy is coloring, which comes in various forms (28). One of the new coloring methods that is becoming increasingly popular today is digital coloring, which comes in a wide range from very professional to simple levels with various applications (29). Previous studies have demonstrated that coloring activities can significantly reduce anxiety levels, with neurophysiological evidence supporting its therapeutic effects (30,31). Functional neuroimaging studies have revealed that engaging in structured coloring tasks modulates activity in the amygdala, the brain's primary stress-processing center, while simultaneously enhancing prefrontal cortex activation associated with emotional regulation (32,33). These findings suggest that coloring induces a meditative state, similar to mindfulness practices, by shifting neural activity from stress-related pathways to regions involved in focused attention and relaxation. Furthermore, psychometric assessments have consistently reported decreased cortisol levels and improved subjective well-being following coloring interventions (31). However, the number of studies that have investigated the effect of digital coloring therapy, especially in elderly patients, is limited. According to the researchers' search, the effectiveness of this digital coloring therapy on state-trait anxiety and pulse rates in the patients before diabetic foot ulcer surgery has not yet been studied. Therefore, the present study aimed to evaluate the effectiveness of digital coloring therapy in reducing state-trait anxiety levels and pulse rate among elderly patients awaiting diabetic foot ulcer surgery.

Methods
Study design
This quasi-experimental study employed a pre-test and post-test design with control and intervention groups to investigate the effect of digital coloring on state anxiety levels and pulse rate in elderly patients awaiting diabetic foot ulcer surgery.
Setting and participants
The study was conducted from January 2023 to July 2024 at Imam Reza referral teaching hospital in Amol, northern Iran. This hospital is one of the leading centers in Mazandaran province for the surgical treatment of diabetic foot ulcers. The study sample was elderly patients awaiting diabetic foot ulcer surgery, referred to this hospital. Inclusion criteria included age ≥60 years, awareness of time and place, having grade 3 or higher diabetic foot ulcers according to the Wagner Classification System use of a tablet or smartphone in the past, absence of visual impairment leading to color impairment, absence of impairment of the dominant hand to hold a digital pen, and no previous experience with diabetic foot surgery, no consumption of sedative or anti-anxiety medications and no medical history of psychiatric or stress-related disorders. Individuals were excluded if they did not wish to participate and continue in the study. In the current study, no participant expressed unwillingness to continue in the study and was not excluded from the study samples (Figure 1). The participants were non-randomly allocated via purposive sampling into two 30-person groups: intervention and control. To avoid information bias and direct contact between the samples in two groups, subjects with odd admission day numbers were first assigned to the control group and subjects with even admission day numbers to the intervention group. Subsequently, the subjects were selected by purposive sampling. The sample size was calculated based on pilot data from 20 patients awaiting diabetic foot ulcer surgery (10 per group), which showed a mean reduction of seven points in anxiety scores (SD=5.5) in the intervention group compared to 1 point (SD=6) in the control group. Using an effect size of d=0.8 (to ensure conservatism), a power of 90%, and α=0.05, G*Power software indicated a requirement of 26 participants per group. Accounting for a 10% attrition rate, the final sample size was set to 30 participants per group (Total N=60).

Figure 1. Flow chart of the study design
Instruments
Demographic information was gathered through the use of an anonymous questionnaire. The anxiety levels of the study participants were assessed utilizing the State-Trait Anxiety Inventory (STAI form Y-1).  The STAI form Y-1 is a self-assessment questionnaire and a standard that is widely recognized as a standard instrument for assessing state-trait anxiety. Additionally, it is applicable in clinical settings to diagnose anxiety. It comprises 20 items. All items of the STAI are rated on a 4-point scale from "1 = almost never" to "4 = almost always". Higher scores indicate a higher level of anxiety (from 20 to 80). STAI scores are classified as follows: "no or low anxiety" (20-37), "moderate anxiety" (38-44), and "high anxiety" (45-80). This questionnaire has been widely utilized as a valid and reliable tool in various studies across diverse populations (34,35) in Iran. A validation study conducted in Iran evaluated the psychometric properties of the Persian version of STAI form Y-1. The study reported that its Cronbach's alpha and test-retest correlation coefficients were 0.846 (36). All questionnaires were completed by the study's investigator (First author) to ensure consistency in data collection procedures.
The patients’ radial pulse was measured for one minute while they were lying supine on the bed. Pulse counting was performed under the following preconditions: no physical activity, no smoking or coffee consumption, and absence of all other stimulants known to increase pulse rate for at least 20 minutes prior to measurement (19). Pulse rate measurements were taken twice -both before and after the intervention- prior to questionnaire completion by the study's investigator (First author).
Procedure
The study protocol ensured that all participants were fully informed about the research objectives prior to the study commencement. Written informed consent was obtained from those who agreed to participate. For all patients, the intervention began one hour before the surgery. Baseline measurements, including state-trait anxiety scores and pulse rates, were recorded for both the control and intervention groups. All participants’ radial pulses were measured for one minute in a seated position on the hospital bed using a stopwatch. All patients maintained a resting state for ≥30 minutes prior to pulse evaluation, with no tobacco consumption, caffeine intake, or excessive physical exertion during this period. In the intervention group, participants engaged in a coloring activity following the researcher’s instructions. They were asked to color three simple nature-themed motifs (e.g., flowers or landscapes, selected for adult appropriateness) using a coloring application on a 2019 Samsung Galaxy Tab A 8.0 (10-inch display) (37). It should be noted that coloring in this method is very simple since the color and the place of coloring are fixed. Moreover, the person completes the coloring by simply touching the designated areas with the digital pen. The coloring session duration ranged from 20 to 25 minutes (38). Finally, the anxiety levels and pulse rates in the intervention group were assessed once more ten minutes following the intervention. The control group received standard preoperative care at hospital, which included only essential medical procedures: administration of prescribed medications (e.g., antibiotics or anticoagulants if needed), notification of surgery timing, and changing into surgical attire. No additional relaxation activities (e.g., conversations with nurses, TV access, or other non-pharmacological interventions) were provided, as these are not part of routine care in the surgical unit. It should be noted that after each intervention, the tablets and pens were disinfected and then used for the next participant. Although blinding was impossible due to the nature of the intervention, data analysis was performed by a statistician blinded to group allocation to ensure objectivity in outcome assessment.
Statistical analysis
Descriptive and inferential analyses were performed using IBM SPSS Statistics 25 (Armonk, NY: IBM Corp). Group homogeneity was assessed via χ² tests (For categorical variables), Fisher's exact tests (Where cell counts<5), and independent t-tests (For continuous variables). Between-group comparisons of State Anxiety and pulse rate were analyzed using independent t-tests. Cohen's d was used to calculate the effect size, quantifying the standardized magnitude of the difference between group means. It was calculated using the pooled standard deviation for between-group comparisons and the standard deviation of the gain scores for within-group comparisons (Interpreted as: 0.2 = small, 0.5 = medium, 0.8 = large). Also, 95% confidence intervals (CIs) for mean differences were reported. Within-group comparisons were conducted using paired t-tests, similarly reporting Cohen’s d and 95% CIs for pre-post intervention changes. For categorical outcomes (Anxiety levels), χ² tests were supplemented for proportion differences. All tests were two-tailed with α = 0.05, with statistical significance interpreted alongside effect sizes.

Results
The statistical results illustrated that the study samples in both groups had no statistically significant differences in terms of demographic characteristics. Half of the study subjects were female and more than half of the study subjects were married (58.35%), had a primary school degree (73.35%). The mean and standard deviation of the age of the study samples were 69.75 ± 4.22 (Table 1).

Table 1. Baseline characteristics of elderly patients scheduled for diabetic foot ulcer surgery in the intervention and control groups

pT: Independent sample t-test.  pTT: Chi-square test     pTTT: Fisher’s Exact Test
For state anxiety outcome, while no baseline difference existed between groups (control: 48.66±6.05 vs intervention: 49.93±6.53; p=0.43, d=0.20), post-intervention results revealed a clinically meaningful reduction in the intervention group (43.20±3.70) versus controls (50.33±6.18), with a significant between-group difference of -7.13 points (p <0.001, d=1.42, large effect). The proportion of high anxiety cases decreased from 83.3% to 23.3% in the intervention group (p <0.001), compared to 86.7% remaining high anxiety in controls. within-group analyses revealed a significant 6.73-point reduction in the intervention group (49.93 to 43.20; p<0.001, d=1.30) and 1.67-point increase in controls (48.66 to 50.33; p=0.007, d=0.27) (Table 2).
Levene’s test confirmed homogeneity of variances (F=0.035, p=0.853). The ANCOVA revealed a statistically significant effect of the intervention on post-intervention anxiety after adjusting for baseline anxiety, F=51.72, p<0.001, partial η2=0.476, indicating a large effect size. Pre-intervention anxiety also significantly predicted post-intervention anxiety, F=22.53, p<0.001, partial η2=0.283. The model explained 54.3% of the variance in post-intervention anxiety (R2=0.543).
Pulse rate measurements showed parallel improvements. From comparable baselines (control: 79.20±1.86 vs intervention: 80.20±2.98; p=0.125, d=0.40), the intervention group achieved a significant 5.60 bpm reduction (p<0.001) versus a 0.87 bpm increase in controls, yielding a between-group difference of -5.47 bpm (p=0.002, d=0.87, large effect). Within-group analyses revealed that the intervention group showed a significant 5.60 bpm reduction (from 80.20±2.98 to 74.60±8.39; p<0.001, d=0.85), while the control group demonstrated a non-significant 0.87 bpm increase (From 79.20±1.86 to 80.07±3.94; p=0.317, d=0.26), indicating a clinically significant improvement in the intervention group compared to controls (Table 2).
Table 2. Comparison of outcomes between the control and intervention groups at baseline and after the intervention

p*: Independent sample t-test       P**: Paired t-test         P***: Chi-square test      MD: Mean Difference

Discussion
This study investigated the impact of digital coloring on situational anxiety and pulse rates among elderly patients before diabetic foot ulcer surgery. The results indicated that this intervention was effective in reducing anxiety and pulse rate.
In the current study, the intervention and control groups had similar characteristics in terms of demographic variables such as age, gender, marital status, educational and economic status, and variables of state anxiety, pulse rate, and there were no significant statistical differences. It is important that the study groups have similar characteristics in order to evaluate the effectiveness of the intervention, and in this study, the two groups were homogeneous. In the current study, pre-intervention anxiety levels were high in both groups. This result is consistent with the results of the studies that have mentioned that the level of anxiety before diabetic foot surgery is high (17,39).
The findings indicated that state anxiety decreased statistically significantly after the intervention in the intervention group compared to the control group. This aligns with a 2020 study, in which the companions of patients undergoing micrographic surgery were asked to color motifs in adult coloring books. The results suggested that coloring led to a reduction in anxiety in the companions of patients. One of the reasons cited by the researchers for the effectiveness was that focusing on coloring allowed the mind to relax and let go of any problems and demands that may have led to stress (40). When people create something beautiful through drawing, they stimulate the creative mind and, at the same time, reduce mental pressure. They also mentioned in their results that this intervention was very easy to perform, with high feasibility, low cost and satisfaction of the study subjects. Therefore, they described this method as a suitable solution to reduce the anxiety of surgery (41).
These findings align with a study demonstrating that art therapy significantly improved pain, mood, and anxiety scores in patients. The researchers attributed this to art’s calming effect on the nervous system, reducing sympathetic chemical levels and promoting relaxation. Given the large sample size and observed psychosocial benefits, art therapy may shorten hospital stays, enhance patient satisfaction, and reduce the need for pain medication. They concluded it is a safe, cost-effective adjunct to conventional treatment (26).
In 2023, the results showed that digital and traditional coloring led to lower levels of death anxiety compared to non-artistic activities, and the reduction in anxiety was greater in the digital coloring group than in the traditional coloring group, which may to some extent justify the effectiveness of the present study. Although Roh et al. (2023) reported superior anxiety reduction with digital coloring in older adults, our effect sizes were comparable to traditional methods. This discrepancy may reflect our stricter inclusion criteria (Excluding psychiatric comorbidities) or the acute surgical context, which differs from their non-medical setting (37). In the same field, another study aimed to determine the effectiveness of the use of art therapy (Painting) in reducing anxiety and depression in a group of female students. Considering the positive effectiveness of the art therapy, the researchers recommended this intervention in clinical and hospital settings. They mentioned that art therapy, particularly through painting, has been noted to enhance non-verbal communication between patients and healthcare professionals. This approach not only aids in the treatment process but also contributes to an improved mood, thereby potentially decreasing the need for medication (42).
In a study examining the effectiveness of different types of coloring on stress levels, it was found that unstructured, free-form coloring had less impact on stress reduction. The researchers suggested that patterned designs function similarly to meditation for the mind (24). Contrary to these findings, several studies have reported that patterned coloring does not significantly differ from free-form coloring, with both demonstrating similar calming effects on the brain (43-45). Systematic reviews reveal inconsistent evidence regarding coloring’s anxiolytic effects across demographics, highlighting the need for robust studies in diverse populations to establish therapeutic efficacy (46,47).
The intervention group exhibited a significantly lower post-intervention pulse rate than controls. Since elevated pulse rate predicts anxiety, this reduction likely reflects diminished situational anxiety. Consistent with our findings, previous studies in the field of art therapy and coloring interventions have demonstrated that coloring regulates emotional responses, promotes a balance between sympathetic and parasympathetic nervous system activity, and contributes to mood enhancement, thereby reducing anxiety and stress (29,47). Our observed pulse rate reduction extends prior art therapy research by demonstrating concurrent psychophysiological effects. However, this mirrors rather than surpasses the 4-7 bpm reductions seen in music therapy studies (32), suggesting digital coloring operates through established relaxation pathways rather than unique mechanisms.
Notably, all intervention group participants reported satisfaction and enhanced tranquility post-intervention. Given the widespread use of digital technologies and smartphones across all age groups worldwide, this intervention appears to be applicable to diverse populations and age ranges.
The strengths of this study include its status as one of the first to investigate the novel application of digital coloring as a non-pharmacological intervention for reducing preoperative anxiety, specifically within the high-stress context of diabetic foot ulcer surgery in the elderly population. The methodology is further strengthened by the use of a standardized, reliable instrument (STAI Form Y-1) to measure the primary outcome. Furthermore, the intervention was highly feasible, inexpensive, and well-accepted by participants, suggesting significant potential for implementation in real-world clinical settings.
This study also has limitations that must be acknowledged. The non-random allocation of participants, achieved through alternate-day assignment, was practical but introduces a potential for selection bias and limits the strength of causal inferences. Furthermore, the intervention's nature made blinding impossible, which may have influenced subjective reporting. Finally, potential confounding variables, such as the use of pulse-rate-influencing cardiac medications (e.g., beta-blockers), were not measured or controlled for.

Conclusion
This study demonstrates that digital coloring effectively reduces state anxiety and pulse rates in preoperative diabetic foot ulcer patients. As a simple, cost-effective, and accessible intervention requiring minimal resources, it shows particular promise for anxiety-provoking clinical settings like diagnostic assessments. Although these findings support its clinical utility, further research should validate efficacy across diverse populations and medical procedures. Healthcare providers should consider implementing brief digital coloring sessions in preoperative protocols, potentially reducing reliance on pharmacological interventions. Future studies should investigate long-term effects, while policymakers may explore integrating such art-based therapies into standard care pathways.

Acknowledgement
This study is the result of a master's thesis at Babol University of Medical Sciences. The authors would like to thank all individuals involved in approving and conducting the work, as well as all patients who participated in the study.

Funding sources
The financial support of the current study was provided by Babol University of Medical Sciences.

Ethical statement
This study was performed in line with the principles of the Declaration of Helsinki. The Ethics Committee of Babol University of Medical Sciences approved this study to protect subjects from risks (Approval Code: IR.MUBABOL.REC.1401.045). All participants involved in the current study were made aware of the objectives and stages of the research. Confidentiality and independence were assured and informed consent was signed. The information gathered in this study was securely stored, with access limited exclusively to the researchers involved. All subjects were informed that their choice to engage in the study was entirely voluntary and would not negatively impact their medical care or standard hospital treatment. The current study prioritized participant safety. Furthermore, participants were guaranteed that their personal identifiers would not be utilized in all project-related reports and publications to safeguard their privacy. Informed consent to participate was obtained from all of the participants.

Conflicts of interest
The authors declared no potential conflicts of interest.

Author contributions
Conceptualization and design: S.M, F.A, A.Sh. Funding acquisition: S.M. Data collection: S.M, F.A. Data analysis and interpretation: S.M, O.K. Drafting of the article: S.M, F.A, A.Sh. Critical revision of the article: S.M, O.K.

Data availability statement
In order to protect the privacy of the participants, the data generated during this study will not be made public. Nevertheless, it may be accessible to the corresponding author upon reasonable request.
 
 
Type of study: Original Article | Subject: Nursing

References
1. Zhou B, Rayner AW, Gregg EW, Sheffer KE, Carrillo-Larco RM, Bennett JE, et al. Worldwide trends in diabetes prevalence and treatment from 1990 to 2022: a pooled analysis of 1108 population-representative studies with 141 million participants. Lancet. 2024;404(10467):2077-93. [View at Publisher] [DOI] [PMID] [Google Scholar]
2. Xu Y, Lu J, Li M, Wang T, Wang K, Cao Q, et al. Diabetes in China part 1: epidemiology and risk factors. Lancet Public Health. 2024. [View at Publisher] [DOI] [PMID] [Google Scholar]
3. Jafarvand E, Ataey A, Edalati S. Epidemiology and death trends due to diabetes in Iran. Intern Med Today. 2021;27(2):198-213. [View at Publisher] [DOI] [Google Scholar]
4. Mirzaei M, Rahmaninan M, Mirzaei M, Nadjarzadeh A, Dehghani Tafti AA. Epidemiology of diabetes mellitus, pre-diabetes, undiagnosed and uncontrolled diabetes in Central Iran: results from Yazd health study. BMC public health. 2020;20(1):166. [View at Publisher] [DOI] [PMID] [Google Scholar]
5. Haw JS, Shah M, Turbow S, Egeolu M, Umpierrez G. Diabetes complications in racial and ethnic minority populations in the USA.Curr Diab Rep. 2021;21(1):2. [View at Publisher] [DOI] [PMID] [Google Scholar]
6. Monteiro‐Soares M, Boyko EJ, Jeffcoate W, Mills JL, Russell D, Morbach S, et al. Diabetic foot ulcer classifications: a critical review. Diabetes Metab Res Rev. 2020;36:e3272. [View at Publisher] [DOI] [PMID] [Google Scholar]
7. Jalilian M, Ahmadi Sarbarzeh P, Oubari S. Factors related to severity of diabetic foot ulcer: a systematic review. Diabetes Metab Syndr Obes. 2020:13:1835-42. [View at Publisher] [DOI] [PMID] [Google Scholar]
8. Jiang L, Ehya REM. Effectiveness of a collaborative nursing care model for the treatment of patients with diabetic foot disease by transverse tibial bone transport technique: a pilot study. J Perianesth Nurs. 2020;35(1):60-6. [View at Publisher] [DOI] [PMID] [Google Scholar]
9. Moore Z, Avsar P, Wilson P, Mairghani M, O'Connor T, Nugent L, et al. Diabetic foot ulcers: treatment overview and cost considerations. J Wound Care. 2021;30(10):786-91. [View at Publisher] [DOI] [PMID] [Google Scholar]
10. Hashempour R, MirHashemi S, Mollajafari F, Damiri S, ArabAhmadi A, Raei B. Economic burden of diabetic foot ulcer: a case of Iran. BMC Health Serv Res. 2024;24(1):363. [View at Publisher] [DOI] [PMID] [Google Scholar]
11. Ahmadishooli A, Davoodian P, Shoja S, Ahmadishooli B, Dadvand H, Hamadiyan H, et al. Frequency and antimicrobial susceptibility patterns of diabetic foot infection of patients from Bandar Abbas District, southern Iran. J Pathog. 2020;2020(1):1057167. [View at Publisher] [DOI] [PMID] [Google Scholar]
12. Polikandrioti M, Vasilopoulos G, Koutelekos I, Panoutsopoulos G, Gerogianni G, Alikari V, et al. Depression in diabetic foot ulcer: Associated factors and the impact of perceived social support and anxiety on depression. Int Wound J. 2020;17(4):900-9. [View at Publisher] [DOI] [PMID] [Google Scholar]
13. Polikandrioti M, Vasilopoulos G, Koutelekos I, Panoutsopoulos G, Gerogianni G, Babatsikou F, et al. Quality of life in diabetic foot ulcer: associated factors and the impact of anxiety/depression and adherence to self-care. Int J Low Extrem Wounds. 2020;19(2):165-79. [View at Publisher] [DOI] [PMID] [Google Scholar]
14. Pedras S, Vilhena E, Carvalho R, Pereira MG. Quality of life following a lower limb amputation in diabetic patients: a longitudinal and multicenter study. Psychiatry. 2020;83(1):47-57. [View at Publisher] [DOI] [PMID] [Google Scholar]
15. Alfaqih MR, Kusnanto K, Padoli P. A systematic review: The experience of patient with diabetic foot ulcers. Jurnal Ners. 2020;15(2):120-8. [View at Publisher] [DOI] [Google Scholar]
16. Ahmad A, Abujbara M, Jaddou H, Younes NA, Ajlouni K. Anxiety and depression among adult patients with diabetic foot: prevalence and associated factors. J Clin Med Res. 2018;10(5):411-18. [View at Publisher] [DOI] [PMID] [Google Scholar]
17. Al-Ayed M, Moosa SR, Robert AA, Al Dawish M. Anxiety, depression and their associated risk factors among patients with diabetic foot ulcer: A two center cross-sectional study in Jordan and Saudi Arabia. Diabetes Metab Syndr. 2021;15(1):237-42. [View at Publisher] [DOI] [PMID] [Google Scholar]
18. Wang R, Huang X, Wang Y, Akbari M. Non-pharmacologic approaches in preoperative anxiety, a comprehensive review. Front Public Health. 2022;10:854673. [View at Publisher] [DOI] [PMID] [Google Scholar]
19. Hasani Z, Mohammadi S, Karimi H. Investigating the Effect of Singing Bowl Sound on the Level of State-trait Anxiety and Physiological Variables of Patients Awaiting Angiography. J Perianesth Nurs. 2025;40(2):305-9. [View at Publisher] [DOI] [PMID] [Google Scholar]
20. Khademi F, Rassouli M, Rafiei F, Moayedi S, Torres M, Marzban N, et al. The effect of mandala colouring on anxiety in hospitalized COVID‐19 patients: A randomized controlled clinical trial. Int J Ment Health Nurs. 2021;30:1437-44. [View at Publisher] [DOI] [PMID] [Google Scholar]
21. Abbing A, Ponstein A, van Hooren S, de Sonneville L, Swaab H, Baars E. The effectiveness of art therapy for anxiety in adults: A systematic review of randomised and non-randomised controlled trials. PloS one. 2018;13(12):e0208716. [View at Publisher] [DOI] [PMID] [Google Scholar]
22. Campenni CE, Hartman A. The effects of completing mandalas on mood, anxiety, and state mindfulness. Art Therapy. 2020;37(1):25-33. [View at Publisher] [DOI] [Google Scholar]
23. Karagiorgakis A, Palmer K. Drawing in a Circle: Therapeutic Benefits on Anxiety in High and Low Stress Conditions. Art Therapy. 2024;41(2):83-91. [View at Publisher] [DOI] [Google Scholar]
24. Curry NA, Kasser T. Can coloring mandalas reduce anxiety? Art Therapy. 2005;22(2):81-5. [View at Publisher] [DOI] [Google Scholar]
25. Abbing A, Baars EW, De Sonneville L, Ponstein AS, Swaab H. The effectiveness of art therapy for anxiety in adult women: a randomized controlled trial. Front Psychol. 2019;10:1203. [View at Publisher] [DOI] [PMID] [Google Scholar]
26. Shella TA. Art therapy improves mood, and reduces pain and anxiety when offered at bedside during acute hospital treatment. Arts Psychother. 2018;57:59-64. [View at Publisher] [DOI] [Google Scholar]
27. Foo M, Freedle LR. The effects of sandplay therapy on the limbic system and prefrontal cortex in women with generalized anxiety disorder. Arts Psychother. 2024;88:102145. [View at Publisher] [DOI] [Google Scholar]
28. Eaton J, Tieber C. The effects of coloring on anxiety, mood, and perseverance. Art Therapy. 2017;34(1):42-6. [View at Publisher] [DOI] [Google Scholar]
29. Roh H, Krumrei-Mancuso EJ, Miller-Perrin C. Impact of Digital and Traditional Coloring on Death Anxiety Among Older Adults. Art Therapy. 2024;41(2):92-9. [View at Publisher] [DOI] [Google Scholar]
30. Rajendran N, Mitra TP, Shahrestani S, Coggins A. Randomized controlled trial of adult therapeutic coloring for the management of significant anxiety in the emergency department. Acad Emerg Med. 2020;27(2):92-9. [View at Publisher] [DOI] [PMID] [Google Scholar]
31. Turturro N, Drake JE. Does coloring reduce anxiety? Comparing the psychological and psychophysiological benefits of coloring versus drawing. Empirical Studies of the Arts. 2022;40(1):3-20. [View at Publisher] [DOI] [Google Scholar]
32. Hong G-J, Kim S-M, Lee B-C, Yi D-H, An S-K. The effect of color therapy on stress and electroencephalogram variation. Kor J Aesthet Cosmetol. 2009;7(1):51-9. [View at Publisher] [Google Scholar]
33. Tang Z, Li X, Xia D, Hu Y, Zhang L, Ding J. An art therapy evaluation method based on emotion recognition using EEG deep temporal features. Multimed Tools Appl. 2022;81(5):7085-101. [View at Publisher] [DOI] [Google Scholar]
34. Barzegar SL, Mohammadi S, Shamsalinia A, Saberifar M. The effects of white noise on preprocedural anxiety and vital signs among older adults undergoing colonoscopy. J Perianesth Nurs. 2024;39(3):386-90. [View at Publisher] [DOI] [PMID] [Google Scholar]
35. Talebi-Azar N, Bagherzadi A, Soltannejad M, Fahimnia D, Sinaei B, Bahrami S, et al. Evaluation of Anxiety Level and its Related Factors in Patients Undergoing Inguinal Hernia Surgery; A Descriptive-correlation Study. Ann Rom Soc Cell Biol. 2021;25(4):19172-80. [View at Publisher] [Google Scholar]
36. Abdoli N, Farnia V, Salemi S, Davarinejad O, Jouybari TA, Khanegi M, et al. Reliability and validity of Persian version of state-trait anxiety inventory among high school students. East Asian Arch Psychiatry. 2020;30(2):44-7. [View at Publisher] [DOI] [PMID] [Google Scholar]
37. Roh H, Krumrei-Mancuso E, Miller-Perrin C. The Impact of Digital and Traditional Coloring on Death Anxiety in Older Adults. Research and Scholarly Achievement Symposium. 2023. [View at Publisher] [DOI] [Google Scholar]
38. Ghorbani Z, Farahani AS, Khabazkhoob M, Hosseini A, Rassouli M. Evaluating the effectiveness of mandala coloring on post-operative anxiety in mothers of children undergoing congenital anomaly surgery: A randomized controlled clinical trial. J Pediatr Nurs. 2025:82:175-83. [View at Publisher] [DOI] [PMID] [Google Scholar]
39. Al-Mohaimeed AA. Prevalence and factors associated with anxiety and depression among type 2 diabetes in Qassim: a descriptive cross-sectional study. J Taibah Univ Med Sci. 2017;12(5):430-6. [View at Publisher] [DOI] [PMID] [Google Scholar]
40. Insley A, West L, Goff HW, Srivastava D, Nijhawan RI. Reducing anxiety with art activities during the Mohs micrographic surgery waiting period. Dermatol Surg. 2020;46(11):1445-7. [View at Publisher] [DOI] [PMID] [Google Scholar]
41. Bosman JT, Bood ZM, Scherer-Rath M, Dörr H, Christophe N, Sprangers MA, et al. The effects of art therapy on anxiety, depression, and quality of life in adults with cancer: a systematic literature review. Support Care Cancer. 2021;29(5):2289-98. [View at Publisher] [DOI] [PMID] [Google Scholar]
42. Al-Rasheed ES, Al-Rasheed MS. The value of painting as a therapeutic tool in the treatment of anxiety/depression mental disorders. J Interprof Educ Pract. 2023;32:100636. [View at Publisher] [DOI] [Google Scholar]
43. Ashlock LE, Miller-Perrin C, Krumrei-Mancuso E. The effectiveness of structured coloring activities for anxiety reduction. Art Therapy. 2018;35(4):195-201. [View at Publisher] [DOI] [Google Scholar]
44. Duong K, Stargell NA, Mauk GW. Effectiveness of coloring mandala designs to reduce anxiety in graduate counseling students. J Creat Ment Health. 2018;13(3):318-30. [View at Publisher] [DOI] [Google Scholar]
45. Mantzios M, Giannou K. When did coloring books become mindful? Exploring the effectiveness of a novel method of mindfulness-guided instructions for coloring books to increase mindfulness and decrease anxiety. Front Psychol. 2018;9:56. [View at Publisher] [DOI] [PMID] [Google Scholar]
46. Hosseini M, Borzabadi Farahani Z. Evaluating the effectiveness of mandala coloring on mental health in Iran: a systematic review. GHSSS. 2022;10(2):144-9. [View at Publisher] [DOI] [Google Scholar]
47. Jakobsson Støre S, Jakobsson N. The effect of mandala coloring on state anxiety: a systematic review and meta-analysis. Art Therapy. 2022;39(4):173-81. [View at Pubisher] [DOI] [Google Scholar]

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2025 CC BY-NC 4.0 | Journal of Research Development in Nursing and Midwifery

Designed & Developed by : Yektaweb