Document Type : Systematic Review
Authors
1 MSN, Student Research Committee, School of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran
2 Ph.D, Associate Professor, Department of Medical surgical Nursing, School of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran
3 Ph.D, Assistant Professor, Department of Community Medicine, School of Medicine, Fasa University of Medical Sciences, Fasa, Iran
4 MSN, Department of Nursing, Hazrat Vali-E-Asr Noorabad Mamasani Hospital, Noorabad Mamasani, Iran
Abstract
Keywords
Introduction
Diabetes mellitus (DM) is one of the most common metabolic disorders and is classified into two main types of type 1 and type 2 based on the pathological processes creating hyperglycemia (1). This disorder is a highly common chronic disease all over the world, and type 2 DM accounts for 90% of DM cases (2). Type 2 DM is a chronic and progressive disorder characterized by impaired insulin secretion and insulin resistance in the liver, adipose tissue, and skeletal muscle (3, 4). DM is the third leading cause of death worldwide (5). The International Diabetes Federation (IDF) reported that 415 million adults worldwide suffer from diabetes in 2015, and the rate is expected to increase to 642 million by 2040 (6). Poor blood sugar control leads to chronic complications, including microvascular diseases such as peripheral neuropathy, nephropathy, and retinopathy, as well as macrovascular diseases such as peripheral and central vascular diseases, which profoundly affect the quality of life of patients and their families (7). In a healthy person, fasting blood sugar is 70-99 mg/dL and glycosylated hemoglobin is less than 5.6%. Overt DM is diagnosed with fasting sugar equal to or more than 126 mg/dL or with glycosylated hemoglobin ≥6.5% (8,9). Management and treatment of DM include a wide range of pharmaceutical and non-pharmaceutical methods (10,11). The use of non-pharmaceutical methods including CAM such as acupuncture, massage, acupressure, yoga, and herbal medicines has increased in recent years. These methods play an important role in reducing blood sugar (10). CAM includes a wide range of interventions, actions, and exercises to prevent and treat diseases and improve health (11).
Among the methods of complementary medicine, acupressure by putting pressure on the body's reflex points is applied to relieve pain (12,13), control anxiety (14) and reduce blood sugar in patients (15). In this method, the whole human body is considered a cluster of pressure points, which are close to the surface of the skin (16). Also, non-invasive finger pressure on meridian channels or pressure points is applied to release endorphins in the brain, relax muscles, reduce pain, and create a comfortable feeling (15). Moreover, acupuncture increases the flow of energy in the body, which can be effective to manage diseases (17).
The results of various studies demonstrated that acupressure can affect diabetic patients (18,19). Considering the different results in this field and the need to evaluate and analyze the therapeutic effects of acupressure in type 2 diabetic patients, this study was conducted with aim to investigate the effectiveness of acupressure on the blood sugar parameters of patients with type 2 diabetes.
Methods
This rapid systematic review and meta-analysis was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).
All globally published articles related to the purpose of this systematic and meta-analysis review were searched in in databases of PubMed, Google Scholar, and Science Direct with keywords of acupressure, blood sugar level, glycosylated hemoglobin, and type 2 DM individually and in combination. In the first step, 411 articles were obtained by simple and advanced search in the databases. Finally, 8 articles were included in the study based on the inclusion criteria.
Two members of the research team separately examined the studies based on the inclusion and exclusion criteria. The collected studies were entered into Endnote software version 8, and then those which met the inclusion criteria were selected for the review study (Figure 1).
Then two other researchers separately reviewed the finally selected studies and extracted the data including the author's name, year of publication, country, study design, participants, type of intervention, blood sugar or glycosylated hemoglobin before and after the intervention, and presented the results in the tables. Then, in cases where there was a difference between the extracted data of the two researchers, another member of the research team was consulted to solve the problem.
The studies which were conducted under the following conditions were included in this systematic review and meta-analysis:
- Studies with a clinical trial design and intervention published in Persian and English from 2010 to 2022 which were conducted on the effect of acupressure on reducing blood sugar and glycosylated hemoglobin of type 2 diabetic patients. Studies published in other languages were excluded.
- Studies conducted on type 2 diabetic patients regardless of gender, nationality, literacy level, and socio-economic status of participating patients.
Figure 1. Flow diagram of the study
- Studies conducted using different acupressure methods and on different pressure points of the body. Studies in which other complementary and alternative medicinal methods were applied for diabetic patients were excluded from the study.
Data were analyzed by STATA software (version 11). Data meta-analysis was performed using the random effect model method. To check the homogeneity of the studies, the I2 index was calculated. P<0.05 was considered statistically significant.
This study has been approved by the Ethics Committee of Shiraz University of Medical Sciences. The ethical considerations in conducting systematic review and meta-analysis studies were observed in this study.
Results
In the initial search, 411 articles were found, and after checking the inclusion and exclusion criteria, the quality of the studies, as well as the elimination of overlapping studies, finally 8 articles which met the study criteria were selected from Iran, Indonesia, Egypt, and China. The collected data included author’s name, year of publication of the article, location, type of study, participants, intervention, target variable, and result, which is briefly illustrated in Tables 1, 2, and 3.
The blood sugar changes in four studies varied from 0.086 to 3.309 mg/dl. As presented in Table 1, there was a statistically significant relationship between the use of acupressure and the blood sugar in diabetic patients (CI 95=0.816-1.553, P˂0.001, OR=1.18). According to chi-square = 8.86 and I square = 66.2%, heterogeneity between the studies was not significant (P=0.031). Also, Egger's test rejected the possibility of publication bias (P=0.187). The fixed effect model was used due to the homogeneity of the studies. Figure 2 showed the cumulative graph of the relationship between acupressure and blood sugar in diabetic patients based on the fixed effects model. The rhombus symbol indicated the confidence interval for 4 studies. As it is clear in the graph, since the rhombus does not cut the zero line, it can be concluded that there is a statistically significant relationship between the use of acupressure and the blood sugar in diabetic patients.
The level of changes in fasting blood sugar in the included 3 studies varied from -0.255 to 1.707. As can be seen in Table 2, there was a statistically significant relationship between the use of acupressure and fasting blood sugar in diabetic patients (CI 95=0.260-0.857, P˂0.001, OR=0.559). According to chi-square = 6.62 and I square = 69.8%, heterogeneity between the studies was not significant (P=0.036). Also, Egger's test rejected the possibility of publication bias (P=0.315). the fixed effect
Table 1. Level of Blood Sugar in the analyzed studies
Result |
BS |
Intervention |
Participants |
Type of Study |
Country |
Year of publication |
Authors |
||
post |
pre |
||||||||
statistically significant difference between the two groups p-value: 0.03 |
217.9 |
317.5 |
Experiment: performing acupressure + routine treatments |
Experimental group: 20 |
40 |
Clinical Trial |
Egypt |
2016 |
Guirguis et al. |
313.1 |
321 |
Control: routine treatments |
Control Group: 20 |
||||||
|
|
|
|
|
|
|
|
|
|
statistically significant difference between the two groups p-value: 0.0001 |
111.07 |
351.53 |
Experiment: performing acupressure + routine treatments |
Experimental group: 15 |
30 |
Pilot Experimental |
Indonesia |
2017 |
Fitrullah et al. |
225.87 |
261.67 |
Control: routine treatments |
Control Group: 15 |
||||||
|
|
|
|
|
|
|
|
|
|
statistically significant difference between the two groups p-value: 0.002 |
139.53 |
157.88 |
Experiment: performing acupressure + chronic disease care program |
Experimental group: 17 |
34 |
Quasi Experimental |
Indonesia |
2018 |
Musmuliadin et al. |
157.47 |
164.59 |
Control: chronic disease care program |
Control Group: 17 |
||||||
|
|
|
|
|
|
|
|
|
|
statistically significant difference between the two groups p-value: 0.036 |
194.83 |
278 |
Experiment: 7 weeks of acupressure |
Control Group: 18 |
36 |
Clinical Trial |
Indonesia |
2021 |
Illahika et al. |
200.5 |
245.72 |
Control: 3 weeks of acupressure |
Control Group: 18 |
Table 2. Level of Fasting Blood Sugar in the analyzed studies
Result |
FBS |
Intervention |
Participants |
Type of study |
Country |
Year of publication |
Authors |
||
post |
pre |
||||||||
no statistically significant difference between the two groups p-value: 0.25 |
122.23 |
128.3 |
Experiment: performing acupressure + routine treatments |
Experimental group: 30 |
60 |
Randomized Controlled Clinical |
Iran |
2018 |
Zarvasi et al. |
142.53 |
139.63 |
Control: routine treatments |
Control Group: 30 |
||||||
|
|
|
|
|
|
|
|
|
|
no statistically significant difference between the three groups p-value: 0.36
|
143.34 |
162.75 |
Experiment: performing acupressure in ST36 point + routine treatments |
Experimental group: 34 |
102 |
Clinical Trial |
Iran |
2021 |
Najafi et al. |
146.45 |
154.58 |
Placebo: performing acupressure at a wrong point + routine treatments |
Placebo group: 34 |
||||||
165 |
160.1 |
Control: routine treatments |
Control Group: 34 |
||||||
|
|
|
|
|
|
|
|
|
|
statistically significant difference between the two groups p-value: 0.001 |
140.63 |
178.23 |
Experiment: acupressure |
Experimental group: 30 |
60 |
Randomized controlled clinical trial |
Iran |
2021 |
Salmani et al. |
156.53 |
152.37 |
Placebo: Touching similar points |
Placebo group: 30 |
Table 3. Level of Glycosylated Hemoglobin (HbA1c) in the analyzed studies
Result |
HbA1c |
Intervention |
Participants |
Type of study |
Country |
Year of publication |
Authors |
||
post |
pre |
||||||||
no statistically significant difference between the two groups p-value: 0.536 |
8.9 |
8.7 |
Experiment: performing acupressure + routine treatments |
Experimental group: 31 |
62 |
Prospective Randomized Controlled |
China |
2014 |
Wang et al. |
8.3 |
9 |
Control: routine treatments |
Control Group: 31 |
||||||
|
|
|
|
|
|
|
|
|
|
statistically significant difference between the two groups p-value: 0.0233 |
8.105 |
9.305 |
Experiment: acupressure + routine treatments |
Experimental group: 20 |
40 |
Clinical Trial |
Egypt |
2016 |
Sandra et al. |
9.045 |
9.39 |
Control: routine treatments |
Control Group: 20 |
||||||
|
|
|
|
|
|
|
|
|
|
statistically significant difference between the two groups p-value: 0.6. |
8.1 |
8.61 |
Experiment: performing acupressure in ST36 point + routine treatments |
Experimental group: 34 |
102 |
Clinical Trial
|
Iran |
2021 |
Najafi et al. |
7.99 |
8.07 |
Placebo: performing acupressure at a wrong point + routine treatments |
Placebo group: 34 |
||||||
8.39 |
8.06 |
Control: routine treatments |
Control Group: 34 |
||||||
|
|
|
|
|
|
|
|
|
|
no statistically significant difference between the two groups p-value: 0.78 |
8.7 |
8.38 |
Experiment: performing acupressure |
Experimental group: 30 |
60 |
randomized controlled clinical trial |
Iran |
2021 |
Salmani et al. |
8.67 |
8.43 |
Placebo: Touching similar points |
Placebo group: 30 |
Figure 2. Effectiveness of acupressure on blood sugar in reviewed studies
Figure 3. Effectiveness of acupressure on fasting blood sugar in reviewed studies
model was used due to the homogeneity of the studies. Figure 3 showed the cumulative graph of the relationship between acupressure and fasting blood sugar in diabetic patients based on the fixed effects model. The rhombus symbol indicated the confidence interval for 3 studies. As it is clear in this graph, since the rhombus does not intersect the zero line, it can be concluded that there is a statistically significant relationship between the use of acupressure and fasting blood sugar in diabetic patients.
In the 4 studies included in this meta-analysis, the glycosylated hemoglobin level varied from -.025 to 1.219. As shown in Table 3, there was no statistically significant relationship between the use of acupressure and glycosylated hemoglobin in diabetic patients (CI 95 = -0.139 - 0.389, P = 0.355, OR = 0.559). According to chi-square = 7.75 and I square = 61.3%, heterogeneity between the studies was not significant (P=0.05). Also, Egger's test rejected the possibility of publication bias (P=0.246). The fixed effect model was used due to the homogeneity of the studies. Figure 4 showed the accumulation
Figure 4. Effectiveness of acupressure on Glycosylated Hemoglobin in reviewed studies
diagram of the relationship between acupressure and glycosylated hemoglobin in diabetic patients based on the fixed effects model. The rhombus symbol indicated the confidence interval for 4 studies. As demonstrated in this graph, since the rhombus intersects the zero line, it can be concluded that there is no statistically significant relationship between the use of acupressure and glycosylated hemoglobin in diabetic patients. Among the 4 studies included in the final meta-analysis, the effectiveness of acupressure on glycosylated hemoglobin was reported only in the study of Guirguis et al. (20).
Discussion
The results of the present meta-analysis review of the selected studies showed that acupressure reduced blood sugar and fasting blood sugar in diabetic patients; however, it had no statistically significant effect on the glycosylated hemoglobin of these patients.
Guirguis et al. proved that the use of acupressure at the SP-6 point for 12 weeks and 3 sessions of 3 minutes every week significantly decreased blood sugar in diabetic patients compared to the control group (20). Also, Fitrullah and colleagues in their study on 30 diabetic patients demonstrated that applying acupressure at the ST-36 point for 30 minutes daily for 11 weeks significantly decreased blood sugar in the intervention group compared to the control group (15). Moreover, Musmuliadin et al. found that acupressure on the ST-36 point 3 times a week for three weeks significantly decreased blood sugar in the intervention group, but compared to other studies, this study showed less reduction (21). Also, Illahika et al. reported that applying acupressure on the SP-6 point for 8 weeks and 3 times a week for 20 minutes each time was associated with a significant decrease in blood sugar (22). Despite the differences in the acupressure points in these studies, as well as the different duration of acupressure, this intervention significantly decreased blood sugar in diabetic patients. In line with the results obtained from the present meta-analysis, Bay and colleagues demonstrated that combined treatment including acupressure and hypnotherapy caused a significant decrease in the blood level of diabetic patients (23).
Despite the difference in the duration of the intervention as well as different pressure points, the results of the present meta-analysis indicated that acupressure causes a significant decrease in fasting blood sugar in diabetic patients. Mood et al. showed that applying acupressure on LR2 and LI4 pressure points for 20 minutes every day for up to one month was effective in reducing the fasting blood sugar level of diabetic patients (19). On the contrary, Najafi et al. (18) and Zarvasi et al. (24) reported that the use of acupressure did not have a significant effect on fasting blood sugar in diabetic patients. In the study of Zarvasi and colleagues, acupressure was applied on pressure points St-36, Sp-6 and Liv-3 every day for 5 minutes for 3 weeks (24). In the study by Najafi et al., acupressure was applied on the St-36 point for 12 weeks and three sessions per week, each session lasting 3 minutes (16). Researchers believe that the use of acupressure causes the release of neurochemical mediators, and then regulates blood sugar by regulating the function of the glands, especially the pituitary-hypothalamus-adrenal axis (15). In addition, since acupressure reduces stress and relaxes patients, therefore stress control treatments have been reported to be effective on diabetic patients (25). Acupressure medicine believed that diseases are caused by energy imbalances (26), and using pressure on certain points leads to endorphin release from the brain, relaxing muscles, and as a result, the patient’s feeling comfortable (15).
Wang et al. demonstrated that the use of acupressure on ear pressure points for 3-5 minutes for 3 months didn't significantly decrease glycosylated hemoglobin level (27). Moreover, Najafi et al. showed that the use of acupressure on the St-36 point for up to 12 weeks and three sessions of 3 minutes per week did not reduce glycosylated hemoglobin (16). Also, Salmani and colleagues investigated the effect of acupressure on LR2 and LI4 pressure points for 20 minutes every day for up to one month and concluded that it was not associated with a significant decrease in glycosylated hemoglobin (19). Unlike the mentioned three studies, the study conducted by Guirguis et al. in Egypt indicated that acupressure on the Sp-6 pressure point for 12 weeks and 3 sessions of 3 minutes per week significantly reduced the level of glycosylated hemoglobin in diabetic patients (20). The results of the present meta-analysis demonstrated that acupressure did not significantly decrease glycosylated hemoglobin in diabetic patients. Contrary to the results of the present study, the results of Tur et al.'s study showed that applying acupressure in obese people decreased the level of glycosylated hemoglobin (28). Lack of statistical significance of the effect of acupressure on glycosylated hemoglobin can be attributed to the difference in the duration of using acupressure and different points in the 4 reviewed studies.
Implications for practice
The results of this rapid systematic review and meta-analysis showed that the use of acupressure has a positive effect on blood sugar and fasting blood sugar of diabetic patients. The results of the present study can be used as reliable evidence for use in patients. According to the results obtained and considering the difference in pressure points as well as the duration of the intervention in the reviewed studies, it is suggested that in future research, a standard methodology be designed and performed with the same pressure points and the same duration of acupressure for blood sugar parameters, especially the glycosylated hemoglobin level in diabetic patients.
Acknowledgments
This study is extracted from a research project approved by Shiraz University of Medical Sciences with grant number 22193 and ethical approval code of IR.SUMS.REC.1399.1315. The authors are grateful to the research vice-chancellor of the university for the financial support of this research project.
Conflicts of interest
The authors declared no conflict of interest.