Effect of immediate and continuous mother–infant skin-to-skin contact on breastfeeding self-efficacy of primiparous women: A randomised control trial

ObjectiveTo evaluate the effect of mother–infant immediate skin-to-skin contact on primiparous mother's breastfeeding self-efficacy.Study designA randomised control trial.SettingsThe study was conducted in Omolbanin obstetrics hospital (large tertiary hospital), Mashhad, Iran.Participants114 18–35 year-old primiparous, Iranian, healthy and full term mothers who anticipated normal vaginal delivery and intended to breastfeed their babies.InterventionSkin-to-skin contact immediately after birth and then controlling breastfeeding self-efficacy at 28 days postpartum.Main outcome measureMaternal breastfeeding self-efficacy at 28 days postpartum and success in first breastfeeding and mean time of first breastfeeding initiation.ResultsA total of 92 mother–infant dyads (47 dyads in skin-to-skin care skin-to-skin contact group and 45 dyads in routine care group) were monitored and analysed. In skin-to-skin contact group, breastfeeding self-efficacy was 53.42 ± 8.57 SD as compared to 49.85 ± 5.50 SD in routine care group which is significantly higher in skin-to-skin contact group (p = 0.0003).Successful breastfeeding initiation rate was 56.6% in skin-to-skin contact group as compared to 35.6% in routine care group (p = 0.02).Time to initiate first feed was 21.98 ± 9.10 SD min in SSC group vs. 66.55 ± 20.76 min in routine care group (p < 0.001).ConclusionMother–infant immediate skin-to-skin contact is an easy and available method of enhancing maternal breastfeeding self-efficacy. High breastfeeding self-efficacy increases exclusive breastfeeding duration.     

Energy performance evaluation of OECD countries using Bayesian stochastic frontier analysis and Bayesian network classifiers

More recently a large amount of interest has been devoted to the use of Bayesian methods for deriving parameter estimates of the stochastic frontier analysis. Bayesian stochastic frontier analysis (BSFA) seems to be a useful method to assess the efficiency in energy sector. However, BSFA results do not expose the multiple relationships between input and output variables and energy efficiency. This study proposes a framework to make inferences about BSFA efficiencies, recognizing the underlying relationships between variables and efficiency, using Bayesian network (BN) approach. BN classifiers are proposed as a method to analyze the results obtained from BSFA.     

The impact of tourism and finance on women empowerment

The Goal-5 of United Nations Development Agenda for gender equality and women empowerment through equalizing the ratio of girls and boys enrolment in primary education remains suffered in almost every part of the globalized world, which does not even violate the basic human rights while it is the mandatory foundation for global peace and prosperity. The contribution of international tourism development to empower women is the key initiative of the developed world to provide an equal opportunity to the women to sustain their livelihoods. This study focused on the role of international tourism development on women empowerment through mediating a number of financial factors in a panel of 24 selected European countries, over a period of 1990–2015. The results show that financial intermediaries act as a catalyst to empower women through international tourism. More specifically, tourism and financial factors promote (i) gender parity in tertiary enrollment, (ii) gender parity in primary and secondary school enrollment, (iii) female employment, and (iv) women’s share in non-agriculture wage employment, while the results further support the (i) growth-led tourism, (ii) finance-led growth, (iii) growth stimulate women empowerment, and (iv) tourism-induced women’s empowerment hypothesis across countries.