Purpose: This systematic review aims to identify factors influencing exclusive breastfeeding (EBF) up to 6 months.
Methods:The databases including PubMed, MEDLINE, CINAHL, Scopus, EMBASE, CNKI, and WANFANG were searched to retrieve studies. Quantitative research were extracted and the preferred reporting items for systematic reviews were followed. Critical appraisal checklists of Joanna Briggs Institute were used to evaluate the quality of the included studies.Findings: A total of 16 papers were eligible for this systematic review, comprising five cohort studies and 11 cross-sectional studies. Moderate to strong evidence supported that 6-month exclusive breastfeeding is affected by maternal working status, breastfeeding knowledge, delivery mode, parity, perception of insufficient human milk, mothers' infant feeding attitude, breastfeeding self-efficacy, and intention.Conclusions: Factors influencing EBF up to 6 months postpartum play a key role in promoting mothers' health and reducing diseases in their infants.
Implications for nursing practice:Interventions based on related factors should be developed and taken into practice to assist mothers in exclusive breastfeeding for up to 6 months. Additional studies from different countries in different populations with high quality are needed to provide more reliable and richer findings.
pper limb motor dysfunction brings huge pain and burden to patients with brain trauma, stroke, and cerebral palsy, as well as their relatives. Physiological signals are closely related to the recovery of patients with limb dysfunction. The joint analysis of two key physiological signals, namely, surface electromyographic (sEMG) signal and acceleration signal, enables the scientific and effective evaluation of upper limb rehabilitation. However, the existing indices of upper limb rehabilitation are incomplete, and the current evaluation approaches are not sufficiently objective or quantifiable. To solve the problems, this paper explores upper limb action identification based on physiological signals, and tries to apply the approach to limb rehabilitation training. Specifically, the upper limb action features during limb rehabilitation training were extracted and identified by time-domain feature method, frequency-domain feature method, time-frequency domain feature method, and entropy feature method. Then, the evaluation flow of upper limb rehabilitation, plus the relevant evaluation indices, were given. Experimental results demonstrate the effectiveness of the proposed composite feature identification of upper limb actions, and the proposed evaluation method for limb rehabilitation.
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