| Literature DB >> 28070420 |
Shaheen E Lakhan1, Heather Sheafer2, Deborah Tepper3.
Abstract
Background. Aromatherapy refers to the medicinal or therapeutic use of essential oils absorbed through the skin or olfactory system. Recent literature has examined the effectiveness of aromatherapy in treating pain. Methods. 12 studies examining the use of aromatherapy for pain management were identified through an electronic database search. A meta-analysis was performed to determine the effects of aromatherapy on pain. Results. There is a significant positive effect of aromatherapy (compared to placebo or treatments as usual controls) in reducing pain reported on a visual analog scale (SMD = -1.18, 95% CI: -1.33, -1.03; p < 0.0001). Secondary analyses found that aromatherapy is more consistent for treating nociceptive (SMD = -1.57, 95% CI: -1.76, -1.39, p < 0.0001) and acute pain (SMD = -1.58, 95% CI: -1.75, -1.40, p < 0.0001) than inflammatory (SMD = -0.53, 95% CI: -0.77, -0.29, p < 0.0001) and chronic pain (SMD = -0.22, 95% CI: -0.49, 0.05, p = 0.001), respectively. Based on the available research, aromatherapy is most effective in treating postoperative pain (SMD = -1.79, 95% CI: -2.08, -1.51, p < 0.0001) and obstetrical and gynecological pain (SMD = -1.14, 95% CI: -2.10, -0.19, p < 0.0001). Conclusion. The findings of this study indicate that aromatherapy can successfully treat pain when combined with conventional treatments.Entities:
Year: 2016 PMID: 28070420 PMCID: PMC5192342 DOI: 10.1155/2016/8158693
Source DB: PubMed Journal: Pain Res Treat ISSN: 2090-1542
Figure 1Flowchart of studies that met inclusion/exclusion criteria for qualitative and quantitative analyses.
Studies included in analysis. A summary of the studies included in analysis. CRP = C-reactive protein; VAS = visual analog score; WBC = white blood count.
| Study | Study design | Participants (diagnosis, | Intervention | Comparison | Summary of results |
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| Ayan et al., 2013 | Randomized controlled trial, double blind | Renal colic, 80 | Rose oil in vaporizer and conventional treatment | Placebo and conventional treatment | There was no statistically significant difference between the starting VAS values of the two groups, but the VAS values 10 or 30 minutes after the initiation of therapy were statistically lower in the group that received conventional therapy plus aromatherapy. |
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| Bagheri-Nesami et al., 2014 | Randomized controlled trial | Hemodialysis, 88 | Inhaled lavender oil during hemodialysis treatment | Placebo | The mean VAS pain intensity score in the experimental and control groups before the intervention was 3.78 + 0.24 and 4.16 + 0.32, respectively ( |
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| Hadi and Hanid, 2011 | Clinical trial, single blind | Cesarean section, 200 | Lavender oil in face mask with oxygen | Placebo | The aromatherapy group experienced a significant decrease in pain compared to the control group. |
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| Jun et al., 2013 | Randomized controlled trial | Postoperative knee replacement, 25 | Inhalation of eucalyptus on gauze | Placebo | Pain VAS on all three days ( |
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| Kaviani et al., 2014 | Clinical trial, semi-experimental | Labor pain, 160 | Lavender oil on swab attached to patient | Placebo | The mean of pain intensity perception in the aroma group was lower than that of the control group at 30 and 60 minutes after the intervention ( |
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| Martin, 2006 [ | Randomized controlled trial | Hand in ice water, 60 | Lemon in oil diffuser | Machine oil in diffuser, no odor | Individuals exposed to both odors reported significantly greater pain than did those in the control condition at 5 minutes. At 15 minutes, individuals exposed to the unpleasant odor experienced greater pain than did the control group. |
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| Marzouk et al., 2013 | Randomized controlled trial | Menstrual pain, 95 | Abdominal aromatherapy massage | Abdominal massage only | During both treatment phases, the level and duration of menstrual pain and the amount of menstrual bleeding were significantly lower in the aromatherapy group than in the placebo group. |
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| Ou et al., 2012 [ | Randomized controlled trial, double-blind | Menstrual pain, 48 | Self-massage with lavender, clary sage, and marjoram | Placebo | Pain was significantly decreased ( |
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| Sheikhan et al., 2012 | Randomized controlled trial | Episiotomy, 120 | Lavender oil in sitz bath on effected area | Treatment as usual | There was a statistical difference in pain intensity scores between the 2 groups after 4 hours ( |
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| Yip et al., 2004 | Randomized controlled trial | Low back pain, 51 | Acupoint stimulation for relaxation with electrode pads followed by an acupressure massage | Treatment as usual | 8 sessions of acupoint stimulation followed by acupressure with aromatic lavender oil were an effective method for short-term low back pain relief. |
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| Yip and Tse, 2006 [ | Experimental study | Neck pain, 28 | Acupressure with lavender oil | Treatment as usual | The baseline VAS for the intervention and control groups were 5.12 and 4.91 out of 10, respectively ( |
Figure 2Publication bias funnel plot. A funnel plot was used to assess risk of publication bias. A symmetrical funnel plot is an indicator for lack of bias in a meta-analysis. A funnel plot loses its utility with a cut-off of 10 studies and this analysis included only 12. The funnel plot for this final analysis was not fully symmetrical, but publication bias cannot be concluded based on the small sample size and heterogeneity of studies. The diagonal lines represent the limits of 95% confidence. Because strict 95% limits are not reported, they are referred to as “pseudo 95% confidence limits.”
Figure 3Forest plot: results of all included studies. This forest plot summarizes the results of all included studies. The numbers on the x-axis measure treatment effect. The gray squares represent the weight of each study. The larger the sample size, the larger the weight and the size of gray box. The small black boxes with the gray squares represent the point estimate of the effect size and sample size. The black lines on either side of the box represent a 95% confidence interval.
Figure 4Forest plot: nociceptive versus inflammatory pain. This forest plot summarizes the results of nociceptive pain studies and inflammatory pain studies. The numbers on the x-axis measure treatment effect. The gray squares represent the weight of each study. The larger the sample size, the larger the weight and the size of gray box. The small black boxes with the gray squares represent the point estimate of the effect size and sample size. The black lines on either side of the box represent a 95% confidence interval.
Figure 5Forest plot: acute versus chronic pain. This forest plot summarizes the results of acute pain studies and chronic pain studies. The numbers on the x-axis measure treatment effect. The gray squares represent the weight of each study. The larger the sample size, the larger the weight and the size of gray box. The small black boxes with the gray squares represent the point estimate of the effect size and sample size. The black lines on either side of the box represent a 95% confidence interval.
Figure 6Forest plot: postoperative pain. This forest plot summarizes the results of postoperative pain studies. The numbers on the x-axis measure treatment effect. The gray squares represent the weight of each study. The larger the sample size, the larger the weight and the size of gray box. The small black boxes with the gray squares represent the point estimate of the effect size and sample size. The black lines on either side of the box represent a 95% confidence interval.
Figure 7Forest plot: obstetrical and gynecological pain. This forest plot summarizes the results of obstetrical and gynecological pain studies. The numbers on the x-axis measure treatment effect. The gray squares represent the weight of each study. The larger the sample size, the larger the weight and the size of gray box. The small black boxes with the gray squares represent the point estimate of the effect size and sample size. The black lines on either side of the box represent a 95% confidence interval.