Volume 22, Issue 6 (10-2024)
Nursing and Midwifery Journal 2024, 22(6): 476-485 |
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Ajoudani F, Habibnezhad S, Alilu L, Alinejad V. PREDICTION POWER OF SLEEP QUALITY ON MATERNAL SELF-EFFICACY IN BREASTFEEDING PRETERM INFANTS AT KOSAR EDUCATIONAL AND MEDICAL CENTER IN URMIA IN 2023: A CROSS-SECTIONAL STUDY. Nursing and Midwifery Journal 2024; 22 (6) :476-485
URL: http://unmf.umsu.ac.ir/article-1-5149-en.html
URL: http://unmf.umsu.ac.ir/article-1-5149-en.html
1- Assistant Professor of Nursing, Faculty of Nursing and Midwifery, Urmia University of Medical Sciences, Urmia, Iran
2- MSc Student in Nursing, Urmia University of Medical Sciences, Urmia, Iran ,sepidehhhb1996@gmail.com
3- Associate Professor of Nursing, Faculty of Nursing and Midwifery, Urmia University of Medical Sciences, Urmia, Iran
4- Assistant Professor of Biostatistics, Faculty of Medicine, Urmia University of Medical Sciences, Urmia, Iran
2- MSc Student in Nursing, Urmia University of Medical Sciences, Urmia, Iran ,
3- Associate Professor of Nursing, Faculty of Nursing and Midwifery, Urmia University of Medical Sciences, Urmia, Iran
4- Assistant Professor of Biostatistics, Faculty of Medicine, Urmia University of Medical Sciences, Urmia, Iran
Abstract: (780 Views)
Background & Aim: One of the most crucial factors in the success of breastfeeding premature babies is breastfeeding self-efficacy. Nursing mothers should prioritize getting enough sleep and rest during the postpartum period, because breastfeeding prevents mothers from getting enough sleep and as a result often causes them to sleep less during this period. The study aimed to assess the predictive impact of sleep quality on breastfeeding self-efficacy in premature infants at Kosar Medical Education Center in Urmia in 2023.
Materials & Methods: The present study was a descriptive cross-sectional correlational study conducted on mothers of premature babies in Kosar Educational and Therapeutic Center in Urmia, Iran in 2023. One hundred and fifty mothers were selected using the convenience sampling method. Mothers who met the inclusion criteria and were in the NICU filled the Pittsburgh Sleep Quality Questionnaires, a shortened version of the Dennis Breastfeeding Self-Efficacy Questionnaire, as well as an informed consent. After data collection, descriptive statistics and central indicators including mean and standard deviation were used for statistical comparisons. Inferential statistics such as Pearson's correlation coefficient and multivariate regression analysis were used to predict breastfeeding self-efficacy by sleep quality. The obtained data was analyzed using SPSS software version 17.
Results: Descriptive statistics showed that the mean sleep quality score was 2.96 ± 1.15, and the mean score of breastfeeding self-efficacy was 6.66 ± 4.25. Pearson correlation test indicated a significant inverse relationship between sleep quality and breastfeeding self-efficacy (P < 0.001). Multiple regression analysis revealed that sleep quality, type of delivery, and number of deliveries predict 71% of the variance in breastfeeding self-efficacy score. Sleep quality can predict about 32% of breastfeeding self-efficacy of mothers of premature babies.
Conclusions: According to the results, there was an inverse and significant relationship between sleep quality and breastfeeding self-efficacy of mothers of premature infants. This inverse relationship between sleep quality and breastfeeding self-efficacy shows that reducing sleep disturbance can have a positive effect on the breastfeeding self-efficacy of mothers of premature babies. It is recommended to conduct more studies in this field and compare it with the results of the present study.
Materials & Methods: The present study was a descriptive cross-sectional correlational study conducted on mothers of premature babies in Kosar Educational and Therapeutic Center in Urmia, Iran in 2023. One hundred and fifty mothers were selected using the convenience sampling method. Mothers who met the inclusion criteria and were in the NICU filled the Pittsburgh Sleep Quality Questionnaires, a shortened version of the Dennis Breastfeeding Self-Efficacy Questionnaire, as well as an informed consent. After data collection, descriptive statistics and central indicators including mean and standard deviation were used for statistical comparisons. Inferential statistics such as Pearson's correlation coefficient and multivariate regression analysis were used to predict breastfeeding self-efficacy by sleep quality. The obtained data was analyzed using SPSS software version 17.
Results: Descriptive statistics showed that the mean sleep quality score was 2.96 ± 1.15, and the mean score of breastfeeding self-efficacy was 6.66 ± 4.25. Pearson correlation test indicated a significant inverse relationship between sleep quality and breastfeeding self-efficacy (P < 0.001). Multiple regression analysis revealed that sleep quality, type of delivery, and number of deliveries predict 71% of the variance in breastfeeding self-efficacy score. Sleep quality can predict about 32% of breastfeeding self-efficacy of mothers of premature babies.
Conclusions: According to the results, there was an inverse and significant relationship between sleep quality and breastfeeding self-efficacy of mothers of premature infants. This inverse relationship between sleep quality and breastfeeding self-efficacy shows that reducing sleep disturbance can have a positive effect on the breastfeeding self-efficacy of mothers of premature babies. It is recommended to conduct more studies in this field and compare it with the results of the present study.
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