The aim of this study was to analyze whether weight status has a relationship with the prevalence of body self-image dissatisfaction in Mediterranean urban teenagers. A series of 809 adolescents aged 11 to 17 years underwent anthropometric measurements according to ISAK protocols and completed the Body Shape Questionnaire (BSQ). The overall overweight prevalence according to International Obesity Task Force (IOTF) criteria was 11.5%, and 2.7% for obesity. Girls showed higher overweight prevalence than boys (18.4% vs. 12.9%; p < 0.05). At the late adolescence period (16–17 y), obesity was observed in the boys but not in the girls (8.7% vs. 0%; p < 0.01). There was a relative low prevalence of body image (BI) dissatisfaction among participants (boys 17.3%; girls 22.7%). In the late adolescence period, the girls were more often classified as being dissatisfied (31%). A weak correlation between the BSQ scores and all the anthropometric variables related to the adiposity profile was detected only in the boys. A logistic regression confirmed that female adolescents and the late pubertal period had a significant association with body dissatisfaction, regardless of their weight status. As BI are not related to weight status measured by body mass index (BMI) percentiles, other factors beyond anthropometry deserve further research to explain BI concerns specifically in girls.

Background: Clinical practices are considered fundamental in nursing studies for effective training of nurses and in students' satisfaction. Both the clinical environment and the clinical educator are key factors in satisfaction with the clinical practice. The aim of this study was to analyse the influence of the socio-demographic variables of clinical educators and nursing students on satisfaction with the clinical practices. Methods: The study included 527 nursing students enrolled on the subject of clinical practice at a private university in Valencia, Spain. The age of the participants ranged from 19 to 51 years old, (M=24.4; SD=6.1) and 79% (451) were women. An instrument was used to measure satisfaction with the practices based on the following scales:

Background: Clinical practices are considered fundamental in nursing studies for effective training of nurses and in students’ satisfaction. Both the clinical environment and the clinical educator are key factors in satisfaction with the clinical practice. The aim of this study was to analyse the influence of the socio-demographic variables of clinical educators and nursing students on satisfaction with the clinical practices.Methods: The study included 527 nursing students enrolled on the subject of clinical practice at a private university in Valencia, Spain. The age of the participants ranged from 19 to 51 years old, (M=24.4; SD=6.1) and 79% (451) were women. An instrument was used to measure satisfaction with the practices based on the following scales: Clinical Learning Environment (CLE-1995), Clinical Learning Environment and Supervision (CLES-2002), Clinical Learning Environment Inventory (CLEI-2003), Clinical Learning environment, supervision and nurse teacher (CLES+T - 2008) and the Clinical Assessment Instrument (IEC-2009). Two statistical methodologies were used for data analysis: hierarchical regression models (HRM) and fuzzy-set qualitative comparative analysis model (fsQCA).Results : The results indicate that sociodemographic variables such as sex and year group influence student satisfaction in both methodologies. Conclusions: Based on these results, training plans to improve students’ satisfaction with the clinical practice can be established.

The main objective of this study was to develop a dynamic energy balance model for dairy goats to describe and quantify energy partitioning between energy used for work (milk) and that lost to the environment. Increasing worldwide concerns regarding livestock contribution to global warming underscore the importance of improving energy efficiency utilization in dairy goats by reducing energy losses in feces, urine and methane (CH 4 ). A dynamic model of CH4 emissions from experimental energy balance data in goats is proposed and parameterized (n = 48 individual animal observations). The model includes DM intake, NDF and lipid content of the diet as explanatory variables for CH4 emissions. An additional data set (n = 122 individual animals) from eight energy balance experiments was used to evaluate the model. The model adequately (root MS prediction error, RMSPE) represented energy in milk (E-milk; RMSPE = 5.6%), heat production (HP; RMSPE = 4.3%) and CH4 emissions (E-CH 4 ; RMSPE = 11.9%). Residual analysis indicated that most of the prediction errors were due to unexplained variations with small mean and slope bias. Some mean bias was detected for HP (1.12%) and E-CH4 (1.27%) but was around zero for E-milk (0.14%). The slope bias was zero for HP (0.01%) and close to zero for E-milk (0.10%) and E-CH4 (0.22%). Random bias was >98% for E-CH4, HP and E-milk, indicating non-systematic errors and that mechanisms in the model are properly represented. As predicted energy increased, the model tended to underpredict E-CH4 and E-milk. The model is a first step toward a mechanistic description of nutrient use by goats and is useful as a research tool for investigating energy partitioning during lactation. The model described in this study could be used as a tool for making enteric CH4 emission inventories for goats.