Spanish women pastoralists' pathways into livestock management: Motivations, challenges and learning

The fight against excess weight and obesity is a health priority. The aim of this study was to analyze the anthropometric changes induced by two weight control programs based on approximating the diet to the theoretical ideal (increasing the consumption of foods with the largest differences between the recommended and observed intakes: cereals and vegetables – for which a minimum of 6 and 3 servings/day are recommended, respectively). The study subjects were 57 Spanish women with a body-mass index (BMI) of 24–35 kg/m², all of whom were randomly assigned to one of two slightly hypocaloric diets for a six-week period: diet V, in which the consumption of greens and vegetables was increased, or diet C, in which the consumption of cereals was increased. Dietetic and anthropometric data were collected at the start of the study and again at two and six weeks. The dietary intervention approximated the subjects’ energy provision from proteins, fats, and carbohydrates to those recommended. The Healthy Eating Index (HEI) improved with both diets. Reductions in body weight, BMI, and the amount of body fat (kg) were also achieved with both diets. Weight loss was 1.56 ± 0.93 kg and 1.02 ± 0.55 kg at two weeks with diet C and V respectively, and 2.8 ± 1.4 kg and 2.0 ± 1.3 kg at six weeks (p < 0.05). Approximating the diet to the theoretical ideal by increasing the consumption of vegetables or cereals may therefore be of use in weight control. In terms of weight loss and the improvement of the diet quality (energy profile and HEI), diet C was significantly more effective than diet V.

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Classifying the Past: Discriminant Analysis and its Application to Medieval Farming Systems

History and Computing ◽

10.3366/hac.1996.8.1.1 ◽

1996 ◽

Vol 8 (1) ◽

pp. 1-10 ◽

Cited By ~ 2

Author(s):

Ken Bartley

Keyword(s):

Cluster Analysis ◽

Discriminant Analysis ◽

Processing Time ◽

Farming Systems ◽

Frame Of Reference ◽

Analytical Models ◽

Successful Implementation ◽

Medieval Period ◽

The Past ◽

Livestock Management

This paper discusses the need for nationally based analytical models of the medieval period. The use of cluster analysis as a method for classifying demesne farms, by the crops they grew and their livestock management, is explained. Successful implementation of cluster analysis requires both the existence of a large base sample, to permit isolation of specific groupings within the data, and access to considerable processing time. The paper concludes by demonstrating how discriminant analysis can provide an efficient and systematic way of classifying even a single manor within a national frame of reference.

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Differential Adaptation Strategies By Agro-Ecological Zones In African Livestock Management

10.1596/1813-9450-4601 ◽

2008 ◽

Cited By ~ 3

Author(s):

S. Niggol Seo ◽

Robert Mendelsohn ◽

Ariel Dinar ◽

Pradeep Kurukulasuriya

Keyword(s):

Adaptation Strategies ◽

Ecological Zones ◽

Livestock Management ◽

Differential Adaptation ◽

Agro Ecological Zones

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Validation of perinatal post-traumatic stress disorder questionnaire for Spanish women during the postpartum period

Scientific Reports ◽

10.1038/s41598-021-85144-2 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Antonio Hernández-Martínez ◽

Sergio Martínez-Vázquez ◽

Julian Rodríguez-Almagro ◽

Khalid Saeed Khan ◽

Miguel Delgado-Rodríguez ◽

...

Keyword(s):

Psychometric Properties ◽

Internal Consistency ◽

Post Traumatic Stress Disorder ◽

Traumatic Stress ◽

Postnatal Depression ◽

Stress Disorder ◽

Criterion Validity ◽

Post Traumatic Stress ◽

Spanish Women ◽

Post Traumatic

AbstractTo determine the psychometric properties of the Perinatal Post-Traumatic Stress Disorder (PTSD) Questionnaire (PPQ) in Spanish. A cross-sectional study of 432 Spanish puerperal women was conducted, following ethical approval. The PPQ was administered online through midwives' associations across Spain. The Edinburgh Postnatal Depression Scale was used to diagnose postnatal depression for examining criterion validity. Data were collected on sociodemographic, obstetric, and neonatal variables. An exploratory factorial analysis (EFA) was performed with convergence and criterion validation. Internal consistency was evaluated using Cronbach's α. The EFA identified three components that explained 63.3% of variance. The PPQ's convergence validation associated the risk of PTSD with variables including birth plan, type of birth, hospital length of stay, hospital readmission, admission of the newborn to care unit, skin-to-skin contact, maternal feeding at discharge, maternal perception of partner support, and respect shown by healthcare professionals during childbirth and puerperium. The area under the ROC curve for the risk of postnatal depression (criterion validity) was 0.86 (95% CI 0.82–0.91). Internal consistency with Cronbach's α value was 0.896. The PPQ used when screening for PTSD in postpartum Spanish women showed adequate psychometric properties.

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Appropriate Drone Flight Altitude for Horse Behavioral Observation

Drones ◽

10.3390/drones5030071 ◽

2021 ◽

Vol 5 (3) ◽

pp. 71

Author(s):

Tomoko Saitoh ◽

Moyu Kobayashi

Keyword(s):

Avoidance Behavior ◽

Correlation Coefficients ◽

Behavioral Observation ◽

Animal Research ◽

Behavioral Data ◽

Flight Altitude ◽

Recording Time ◽

Livestock Management ◽

Behavioral Observations ◽

Video Observations

Recently, drone technology advanced, and its safety and operability markedly improved, leading to its increased application in animal research. This study demonstrated drone application in livestock management, using its technology to observe horse behavior and verify the appropriate horse–drone distance for aerial behavioral observations. Recordings were conducted from September to October 2017 on 11 horses using the Phantom 4 Pro drone. Four flight altitudes were tested (60, 50, 40, and 30 m) to investigate the reactions of the horses to the drones and observe their behavior; the recording time at each altitude was 5 min. None of the horses displayed avoidance behavior at any flight altitude, and the observer was able to distinguish between any two horses. Recorded behaviors were foraging, moving, standing, recumbency, avoidance, and others. Foraging was the most common behavior observed both directly and in the drone videos. The correlation coefficients of all behavioral data from direct and drone video observations at all altitudes were significant (p < 0.01). These results indicate that horse behavior can be discerned with equal accuracy by both direct and recorded drone video observations. In conclusion, drones can be useful for recording and analyzing horse behavior.

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Study of the phenolic compound profile and antioxidant activity of human milk from Spanish women at different stages of lactation: A comparison with infant formulas

Food Research International ◽

10.1016/j.foodres.2021.110149 ◽

2021 ◽

Vol 141 ◽

pp. 110149

Author(s):

Silvia Sánchez-Hernández ◽

Adelaida Esteban-Muñoz ◽

Cristina Samaniego-Sánchez ◽

Rafael Giménez-Martínez ◽

Beatriz Miralles ◽

...

Keyword(s):

Antioxidant Activity ◽

Human Milk ◽

Phenolic Compound ◽

Infant Formulas ◽

Spanish Women

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Bacterial Diversity of Breast Milk in Healthy Spanish Women: Evolution from Birth to Five Years Postpartum

Nutrients ◽

10.3390/nu13072414 ◽

2021 ◽

Vol 13 (7) ◽

pp. 2414

Author(s):

Laura Sanjulián ◽

Alexandre Lamas ◽

Rocío Barreiro ◽

Alberto Cepeda ◽

Cristina A. Fente ◽

...

Keyword(s):

Breast Milk ◽

16S Rrna ◽

Human Milk ◽

Alpha Diversity ◽

Amplicon Sequencing ◽

Maternal Body Mass Index ◽

16S Rrna Amplicon Sequencing ◽

Spanish Women ◽

Calcium Magnesium ◽

Abundant Genus

The objective of this work was to characterize the microbiota of breast milk in healthy Spanish mothers and to investigate the effects of lactation time on its diversity. A total of ninety-nine human milk samples were collected from healthy Spanish women and were assessed by means of next-generation sequencing of 16S rRNA amplicons and by qPCR. Firmicutes was the most abundant phylum, followed by Bacteroidetes, Actinobacteria, and Proteobacteria. Accordingly, Streptococcus was the most abundant genus. Lactation time showed a strong influence in milk microbiota, positively correlating with Actinobacteria and Bacteroidetes, while Firmicutes was relatively constant over lactation. 16S rRNA amplicon sequencing showed that the highest alpha-diversity was found in samples of prolonged lactation, along with wider differences between individuals. As for milk nutrients, calcium, magnesium, and selenium levels were potentially associated with Streptococcus and Staphylococcus abundance. Additionally, Proteobacteria was positively correlated with docosahexaenoic acid (DHA) levels in breast milk, and Staphylococcus with conjugated linoleic acid. Conversely, Streptococcus and trans-palmitoleic acid showed a negative association. Other factors such as maternal body mass index or diet also showed an influence on the structure of these microbial communities. Overall, human milk in Spanish mothers appeared to be a complex niche shaped by host factors and by its own nutrients, increasing in diversity over time.

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