| Literature DB >> 33014738 |
Maryam Firouzabadi1, Naimeh Pourramezani2, Mohadeseh Balvardi3.
Abstract
BACKGROUND: Nipple fissure is a common problem among breastfeeding women, which can lead to early cessation of breastfeeding. Because of the lack of effective treatment and given the approved efficacy of honey and yarrow on sore healing, this study was conducted to evaluate and compare the effects of yarrow, honey, and breast milk on the treatment of nipple fissure.Entities:
Keywords: Achillea; Iran; breast feeding; honey; milk; nipples
Year: 2020 PMID: 33014738 PMCID: PMC7494169 DOI: 10.4103/ijnmr.IJNMR_133_19
Source DB: PubMed Journal: Iran J Nurs Midwifery Res ISSN: 1735-9066
Comparison of demographic variables in the three groups of honey, yarrow, and breast milk. Pre-study
| Variable | Honey | Yarrow | Breast milk | Chi-Square statistic | |
|---|---|---|---|---|---|
| Age | |||||
| 17-24 | 17 (34) | 19 (38) | 19 (38) | ||
| 25-34 | 29 (58) | 26 (52) | 24 (48) | 1.50 | 0.83* |
| 35 and more | 4 (8) | 5 (10) | 7 (14) | ||
| Number of labors | |||||
| One | 24 (48) | 25 (50) | 30 (60) | ||
| Two | 22 (44) | 20 (40) | 16 (32) | 1.98 | 0.76** |
| Three and more | 4 (8) | 5 (10) | 4 (8) | ||
| Type of labor | |||||
| Normal | 33 (66) | 29 (58) | 28 (56) | ||
| Cesarean | 17 (34) | 21 (42) | 22 (44) | 1.17 | 0.56* |
| Elapsed days of labor | |||||
| 1-6 days | 23 (46) | 29 (58) | 31 (62) | ||
| 7-13 days | 16 (32) | 11 (22) | 4 (8) | 9.45 | 0.051* |
| 14 and more | 11 (22) | 10 (20) | 15 (30) |
*Fridman Test. **Kruskal Wallis Test
Comparison of the severity of fissure in the three groups of honey, yarrow, and breast milk before the intervention (1st day), and on the 3rd and 7th days
| Median of fissure score | 1st day Median (Q1, Q3) | 3rd day Median (Q1, Q3) | 7th day Median (Q1, Q3) | Chi-Square statistic | |
|---|---|---|---|---|---|
| Honey | 3 (2,4) | 2 (1,2) | 0 (0,1) | 93.29 | <0.001 |
| Yarrow | 3 (2,3) | 2 (1,3) | 0 (0,1) | 92.19 | <0.001 |
| breast milk | 2.5 (2,3) | 2 (1,2) | 0.5 (0,1) | 90.51 | <0.001 |
| Chi-Square statistic | 3.45 | 3.33 | 1.48 | ||
| 0.18 | 0.19 | 0.48 |
*Fridman Test. **Kruskal Wallis Test