The religious imaginary of Hansen's disease patients: a comparative study of former inmates of the asylums of São Paulo and current Hansen's disease patients

Analisa a religiosidade de pacientes portadores de hanseníase que viveram dois períodos distintos da história do tratamento dos doentes: o do internamento em asilos e o da prática atual. Dez entrevistas semiestruturadas focalizaram saúde, religião e hanseníase, abordando os meios de enfrentamento religioso nos dois grupos. No grupo de ex-internos, constatou-se a presença da religião institucionalizada, que atendia aos propósitos de vigilância e da terapêutica isolacionista. Os atuais portadores de hanseníase ainda sentem o peso do estigma da 'lepra' em determinadas situações. Foram aplicados também cinco questionários a profissionais de saúde do DHDS, que apresentam suas considerações sobre a religião do paciente e o tratamento.The article analyzes the religiosity of Hansen's disease patients who lived during two distinct treatment periods of the sick: that of internment in asylums and the current practice. Ten semi-structured interviews focused on health, religion and Hansen's disease, broaching the ways the two groups faced religion. In the former inmate group, the presence of institutionalized religion was noted, which served the purposes of vigilance and isolationist therapeutics. Present day Hansen's disease patients still feel the stigmatic weight of 'leprosy" in certain situations. Five questionnaires were also given to DHDS health professionals, who presented their considerations concerning the patient's religion and the treatment

Proposal of Equations for Predicting Post-Farrowing Sow Weight

Background: Body condition score is used widely in swine production to ensure adequate nutritional levels in sows during gestation and lactation. However, body condition score is not a gold standard for the estimation of nutritional requirements in sows. Post-farrowing sow body weight assessment might serve as a useful approach for the better adjustment of the nutritional requirements during lactation; however, this approach is time-consuming, requires labor, and might result in detrimental effects on the sow behavior and welfare. The objective of the present study, therefore, was to formulate prediction equations for the estimation of post-farrowing sow weight.Materials, Methods & Results: Seven equations were formulated for predicting the post-farrowing sow body weight, by using the data from three databases, which comprised a total 522 sows (434 gilts and 88 multiparous). The sows were weighed on Day 112 of gestation and after farrowing within 12 h. The piglets birth weight was recorded within 24 h after farrowing. The equations were formulated considering all the parity orders. While formulating the equations, the following five variables were used: pre-farrowing body weight, piglets born, litter weight, the interval between pre-farrowing weighing and farrowing (in days), and the total feed intake between pre-farrowing and post-farrowing weighing. The seven models were compared using the sets of possible predictors through regression with the best subsets procedure (Minitab for Windows, v. 18). Equations (EQ) 1, 2, and 4 were validated with a database comprising 732 sows (parity orders: 1–5). The females were weighed on Day 107 of gestation and within 24 h after farrowing. The predicted weights estimated by EQ 2 and 4 (215.4 ± 34.3 kg and 216.7 ± 34.4 kg, respectively) did not significantly differ from the observed weight (216.8 ± 34.6 kg) [P > 0.05].Discussion: Pre-farrowing sow body weight was identified as the main input variable required for the estimation of the post-farrowing sow body weight. Thus, even EQ 1, which contained only this variable, exhibited a high coefficient of determination (R2 = 0.8707). However, the R2 value kept increasing as more input variables were included in the equation. Equation 2, 4, and 6 included the litter weight variable, and the addition of this variable increased the numerical value of R2 from 0.8707 in EQ 1 to 0.8975 in EQ 2. The EQ 3, 5, and 7 considered the piglets born variable as well, which increased the R2 value from 0.8707 in EQ 1 to 0.9119 in EQ 3. The coefficient of determination did not vary much among the equations; therefore, the selection of the prediction equations depended on data availability, feed management, facility, and the reliability of data collection in each farm. Although EQ 1 demonstrated a greater correlation between the predicted and the observed post-farrowing weight compared to the other equations, the values of error in central tendency and the errors due to disturbances were numerically higher for EQ 1 in comparison to the other two equations (EQ 2 and 4). Therefore, it is suggested that EQ 1 should be used as the last choice for the estimation of post-farrowing sow weight as it presented low trueness and precision, and also because the predicted weight estimated by EQ 1 was statistically lower than the observed weight (211.67 ± 33.33 kg vs. 216.84 ± 34.62 kg; P = 0.012). EQ 4 emonstrated higher trueness and precision; however, it did not differ significantly from EQ 2 and 1. Further analyses are required in order to validate EQ 3, 5, 6, and 7. Among the equations that were predicted as well as validated, the simplest and the easiest equation with satisfactory results for trueness and precision was EQ 2, which is as follows:Post-farrowing sow weight (kg) = 13.03 + (0.93 × pre-farrowing body weight, kg) + (–1.23 × piglets born, n

Peacekeepers and stress management in peacekeeping operations: a study of the roles of religion in the coping process

O presente estudo propôs investigar os modos de enfrentamento dos guardiães da paz (peacekeepers), militares do Exército Brasileiro que participaram do contingente 15 (entre 2011 e 2012) e do contingente 19 (entre 2013 e 2014), sendo que neste último o pesquisador participou na função de psicólogo do batalhão brasileiro. Desde 2004, o Brasil tem enviado tropas e liderado o componente militar supranacional da MINUSTAH, a missão da ONU para estabilização do Haiti. Nos seis meses que cada contingente é mobilizado para a missão de paz, os militares enfrentam diversos desafios: o risco das operações, a distância da família, o confinamento e outros estressores inerentes a este tipo de missão. O estudo concentrou-se na análise do enfrentamento e na construção do sentido. Em particular, investigou de maneira mais aprofundada o modo de enfrentamento religioso. Para a análise quantitativa, utilizou um formulário geral para coleta de dados do perfil e da vida religiosa de cada participante nos dois contingentes; aplicou uma Escala de Modos de Enfrentamento de Problemas (EMEP) e outra escala de coping religioso/espiritual na versão breve (CRE-Breve). Na parte qualitativa, coletou o relato de oito capelães militares que participaram da missão de paz no Haiti em diferentes contingentes, cujos depoimentos puderam descrever as relações da religião institucionalizada praticada nas bases militares com o enfrentamento religioso e estressores da missão. As análises dos dados, juntamente com o depoimento dos capelães e a experiência do pesquisador na missão in loco, revelaram que os modos de enfrentamento são em geral mais focados no problema. As estratégias de coping religioso apresentaram similaridade entre os contingentes tomados separadamente, mas variavam conforme grupos categorizados em cada contingente, a saber, entre oficiais e praças e entre grupos de católicos e evangélicos pentecostais. A análise mostrou maior uso de coping religioso positivo em geral em todas as amostras, maior uso significativo de coping religioso negativo entre praças e evangélicos em comparação com oficiais e católicos, além de maior uso de determinados fatores de coping religioso, tanto positivos quanto negativos, em evangélicos. Os relatos dos capelães militares, juntamente com os dados analisados, salientaram a característica situacional do enfrentamento enquanto processo, contextualizado no momento da missão, nos grupos específicos e nos estressores que os peacekeepers se deparam ao longo da missão. A revisão da literatura sobre estressores, enfrentamento e coping religioso em ambientes de combate e missões de paz, indica que as situações de crise suscitam percepções de incerteza e desamparo, e o papel da religião pode tanto amenizar a instabilidade e beneficiar o indivíduo na criação de sentido e resiliência, quanto prejudicar ao se tornar mais um evento gerador de estresse. Considerar a miríade de formas que a religião desempenha no processo de enfrentamento, capacitará aos profissionais de saúde e aos capelães militares uma melhor compreensão sobre os sentidos resilientes ou vulneráveis que os militares levam à missãoThis study aims to investigate the coping strategies of peacekeepers, Brazilian Army\'s soldiers who participated in the contingent 15 (between 2011 and 2012) and contingent 19 (between 2013 and 2014), and in the latter the researcher participated as the psychologist of the Brazilian battalion. Since 2004, Brazil has sent troops and led the military supranational component of MINUSTAH, the UN mission to stabilize Haiti. Within six months of each contingent mobilized for the peacekeeping mission, the military face several challenges: the risk of operations, the distance from the family, the containment and other stressors inherent from this type of mission. The study focused on the analysis of coping and the meaning-making. In particular, it investigated more deeply on religious coping styles. For quantitative analysis, we used a general form for profile data collection and religious life of each participant in both continents; applied a Combat Modes Problems Scale (EMEP) and a scale of religious/spiritual coping in the short version (CRE-Brief). In the qualitative part, we collected reports of eight military chaplains who participated in the peacekeeping mission in Haiti in different contingents, whose testimony could describe the relationships of institutionalized religion practiced in military installations with religious coping and mission stressors. The analysis of the data, along with the testimony of chaplains and the experience of the researcher in the mission on the spot, revealed that coping strategies are more problem-focused. The religious coping strategies showed similarity between the contingent taken separately, but varied according categorized groups in each contingent, namely, between officers and enlisted ranks and between groups of Catholics and Pentecostals. The analysis showed greater use of positive religious coping in general in all samples, most significant use of negative religious coping among enlisted ranks and evangelical compared with officers and Catholics, as well as greater use of certain factors of religious coping, both positive and negative, in Pentecostals. Reports of military chaplains, along with the data analyzed, pointed situational characteristic of coping as a process, contextualized in the emplacement of the mission, in specific groups and in the stressors that peacekeepers face throughout the mission. The literature on stress, coping and religious coping in combat environments and peacekeeping missions indicates that the crisis raises uncertainty and helplessness perceptions, and the role of religion can both mitigate instability and benefit the individual creating sense and resilience, or harm as a stressor. Considering the myriad ways that religion plays in the coping process, enable health professionals and military chaplains a better understanding of the resilient or vulnerable senses that the military bring to missio

Perspectivas atuais da inseminação artificial em tempo fixo em suínos

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Reproductive performance, retention rate, and age at the third parity according to growth rate and age at first mating in the gilts with a modern genotype

Background: Gilts represent the largest category (18-20%) of female pigs in a breeding herd. Under field conditions, the amplitude of growth rate and age at the first mating of gilts are remarkably higher than the recommendations made by the genetic companies. There are several studies that have considered the management of these animals starting from their introduction to the herd till the mating. It has been noted that the genetic selection constantly promotes evolution that may change certain traits of these animals. However, there is a lack of the studies that evaluate the management strategies suitable for the modern sows. This study, therefore, aimed to evaluate the effect of age and growth rate of gilts at the first mating on productive performance and retention rate until the third farrowing. Materials, Methods & Results: The study was performed in a gilt development unit (GDU) with a breeding stock capacity of 1000 females and a goal of 90 gilts mating per week. The groups were retrospectively created according to age ( 0.05) on farrowing rate after first, second, and third mating. The total number of piglets born in the three first farrowing and over three parities were not affected (P > 0.05) by the age and GR at first mating. The retention rate until the third farrowing of gilts inseminated with more than 210 days of age was approximately 7% greater than in the gilts mated younger; however, no statistical difference (P > 0.05) was detected. An effect of the age at the first mating was observed in the age to reach the third farrowing. Gilts mated with less than 210 and more than 210 days reached the third farrowing, respectively, at 604.5 ±1.9 and 625.1 ± 2.7 days of age (P 700g/d did not present overweight in this study. The reproductive performance expressed by farrowing rate and piglets born and the longevity expressed by the retention rate from the first pregnancy until the third parturition were not impaired by the groups of age and GR in Large White × Landrace crossbred (Camborough 23®). In addition, gilts inseminated earlier than 210 days but having the minimum required weight resulted in less non-productive days for the breeding herd, which represents an important financial rate to the system

Proposal of equations for predicting post-farrowing sow weight

Background: Body condition score is used widely in swine production to ensure adequate nutritional levels in sows during gestation and lactation. However, body condition score is not a gold standard for the estimation of nutritional requirements in sows. Post-farrowing sow body weight assessment might serve as a useful approach for the better adjustment of the nutritional requirements during lactation; however, this approach is time-consuming, requires labor, and might result in detrimental effects on the sow behavior and welfare. The objective of the present study, therefore, was to formulate prediction equations for the estimation of post-farrowing sow weight. Materials, Methods & Results: Seven equations were formulated for predicting the post-farrowing sow body weight, by using the data from three databases, which comprised a total 522 sows (434 gilts and 88 multiparous). The sows were weighed on Day 112 of gestation and after farrowing within 12 h. The piglets birth weight was recorded within 24 h after farrowing. The equations were formulated considering all the parity orders. While formulating the equations, the following five variables were used: pre-farrowing body weight, piglets born, litter weight, the interval between pre-farrowing weighing and farrowing (in days), and the total feed intake between pre-farrowing and post-farrowing weighing. The seven models were compared using the sets of possible predictors through regression with the best subsets procedure (Minitab for Windows, v. 18). Equations (EQ) 1, 2, and 4 were validated with a database comprising 732 sows (parity orders: 1-5). The females were weighed on Day 107 of gestation and within 24 h after farrowing. The predicted weights estimated by EQ 2 and 4 (215.4 ± 34.3 kg and 216.7 ± 34.4 kg, respectively) did not significantly differ from the observed weight (216.8 ± 34.6 kg) [P > 0.05]. Discussion: Pre-farrowing sow body weight was identified as the main input variable required for the estimation of the post-farrowing sow body weight. Thus, even EQ 1, which contained only this variable, exhibited a high coefficient of determination (R2 = 0.8707). However, the R2 value kept increasing as more input variables were included in the equation. Equation 2, 4, and 6 included the litter weight variable, and the addition of this variable increased the numerical value of R2 from 0.8707 in EQ 1 to 0.8975 in EQ 2. The EQ 3, 5, and 7 considered the piglets born variable as well, which increased the R2 value from 0.8707 in EQ 1 to 0.9119 in EQ 3. The coefficient of determination did not vary much among the equations; therefore, the selection of the prediction equations depended on data availability, feed management, facility, and the reliability of data collection in each farm. Although EQ 1 demonstrated a greater correlation between the predicted and the observed post-farrowing weight compared to the other equations, the values of error in central tendency and the errors due to disturbances were numerically higher for EQ 1 in comparison to the other two equations (EQ 2 and 4). Therefore, it is suggested that EQ 1 should be used as the last choice for the estimation of post-farrowing sow weight as it presented low trueness and precision, and also because the predicted weight estimated by EQ 1 was statistically lower than the observed weight (211.67 ± 33.33 kg vs. 216.84 ± 34.62 kg; P = 0.012). EQ 4 demonstrated higher trueness and precision; however, it did not differ significantly from EQ 2 and 1. Further analyses are required in order to validate EQ 3, 5, 6, and 7. Among the equations that were predicted as well as validated, the simplest and the easiest equation with satisfactory results for trueness and precision was EQ 2, which is as follows: Post-farrowing sow weight (kg) = 13.03 + (0.93 × pre-farrowing body weight, kg) + (-1.23 × piglets born, n

Reproductive Performance, Retention Rate, and Age at the Third Parity According to Growth Rate and Age at First Mating in the Gilts with a Modern Genotype

Background: Gilts represent the largest category (18-20%) of female pigs in a breeding herd. Under field conditions, the amplitude of growth rate and age at the first mating of gilts are remarkably higher than the recommendations made by the genetic companies. There are several studies that have considered the management of these animals starting from their introduction to the herd till the mating. It has been noted that the genetic selection constantly promotes evolution that may change certain traits of these animals. However, there is a lack of the studies that evaluate the management strategies suitable for the modern sows. This study, therefore, aimed to evaluate the effect of age and growth rate of gilts at the first mating on productive performance and retention rate until the third farrowing.Materials, Methods & Results: The study was performed in a gilt development unit (GDU) with a breeding stock capacity of 1000 females and a goal of 90 gilts mating per week. The groups were retrospectively created according to age ( 0.05) on farrowing rate after first, second, and third mating. The total number of piglets born in the three first farrowing and over three parities were not affected (P > 0.05) by the age and GR at first mating. The retention rate until the third farrowing of gilts inseminated with more than 210 days of age was approximately 7% greater than in the gilts mated younger; however, no statistical difference (P > 0.05) was detected. An effect of the age at the first mating was observed in the age to reach the third farrowing. Gilts mated with less than 210 and more than 210 days reached the third farrowing, respectively, at 604.5 ±1.9 and 625.1 ± 2.7 days of age (P 700g/d did not present overweight in this study. The reproductive performance expressed by farrowing rate and piglets born and the longevity expressed by the retention rate from the first pregnancy until the third parturition were not impaired by the groups of age and GR in Large White × Landrace crossbred (Camborough 23®). In addition, gilts inseminated earlier than 210 days but having the minimum required weight resulted in less non-productive days for the breeding herd, which represents an important financial rate to the system

Reproductive performance, retention rate, and age at the third parity according to growth rate and age at first mating in the gilts with a modern genotype

Background: Gilts represent the largest category (18-20%) of female pigs in a breeding herd. Under field conditions, the amplitude of growth rate and age at the first mating of gilts are remarkably higher than the recommendations made by the genetic companies. There are several studies that have considered the management of these animals starting from their introduction to the herd till the mating. It has been noted that the genetic selection constantly promotes evolution that may change certain traits of these animals. However, there is a lack of the studies that evaluate the management strategies suitable for the modern sows. This study, therefore, aimed to evaluate the effect of age and growth rate of gilts at the first mating on productive performance and retention rate until the third farrowing. Materials, Methods & Results: The study was performed in a gilt development unit (GDU) with a breeding stock capacity of 1000 females and a goal of 90 gilts mating per week. The groups were retrospectively created according to age ( 0.05) on farrowing rate after first, second, and third mating. The total number of piglets born in the three first farrowing and over three parities were not affected (P > 0.05) by the age and GR at first mating. The retention rate until the third farrowing of gilts inseminated with more than 210 days of age was approximately 7% greater than in the gilts mated younger; however, no statistical difference (P > 0.05) was detected. An effect of the age at the first mating was observed in the age to reach the third farrowing. Gilts mated with less than 210 and more than 210 days reached the third farrowing, respectively, at 604.5 ±1.9 and 625.1 ± 2.7 days of age (P 700g/d did not present overweight in this study. The reproductive performance expressed by farrowing rate and piglets born and the longevity expressed by the retention rate from the first pregnancy until the third parturition were not impaired by the groups of age and GR in Large White × Landrace crossbred (Camborough 23®). In addition, gilts inseminated earlier than 210 days but having the minimum required weight resulted in less non-productive days for the breeding herd, which represents an important financial rate to the system

Proposal of Equations for Predicting Post-Farrowing Sow Weight

Background: Body condition score is used widely in swine production to ensure adequate nutritional levels in sows during gestation and lactation. However, body condition score is not a gold standard for the estimation of nutritional requirements in sows. Post-farrowing sow body weight assessment might serve as a useful approach for the better adjustment of the nutritional requirements during lactation; however, this approach is time-consuming, requires labor, and might result in detrimental effects on the sow behavior and welfare. The objective of the present study, therefore, was to formulate prediction equations for the estimation of post-farrowing sow weight.Materials, Methods & Results: Seven equations were formulated for predicting the post-farrowing sow body weight, by using the data from three databases, which comprised a total 522 sows (434 gilts and 88 multiparous). The sows were weighed on Day 112 of gestation and after farrowing within 12 h. The piglets birth weight was recorded within 24 h after farrowing. The equations were formulated considering all the parity orders. While formulating the equations, the following five variables were used: pre-farrowing body weight, piglets born, litter weight, the interval between pre-farrowing weighing and farrowing (in days), and the total feed intake between pre-farrowing and post-farrowing weighing. The seven models were compared using the sets of possible predictors through regression with the best subsets procedure (Minitab for Windows, v. 18). Equations (EQ) 1, 2, and 4 were validated with a database comprising 732 sows (parity orders: 1–5). The females were weighed on Day 107 of gestation and within 24 h after farrowing. The predicted weights estimated by EQ 2 and 4 (215.4 ± 34.3 kg and 216.7 ± 34.4 kg, respectively) did not significantly differ from the observed weight (216.8 ± 34.6 kg) [P > 0.05].Discussion: Pre-farrowing sow body weight was identified as the main input variable required for the estimation of the post-farrowing sow body weight. Thus, even EQ 1, which contained only this variable, exhibited a high coefficient of determination (R2 = 0.8707). However, the R2 value kept increasing as more input variables were included in the equation. Equation 2, 4, and 6 included the litter weight variable, and the addition of this variable increased the numerical value of R2 from 0.8707 in EQ 1 to 0.8975 in EQ 2. The EQ 3, 5, and 7 considered the piglets born variable as well, which increased the R2 value from 0.8707 in EQ 1 to 0.9119 in EQ 3. The coefficient of determination did not vary much among the equations; therefore, the selection of the prediction equations depended on data availability, feed management, facility, and the reliability of data collection in each farm. Although EQ 1 demonstrated a greater correlation between the predicted and the observed post-farrowing weight compared to the other equations, the values of error in central tendency and the errors due to disturbances were numerically higher for EQ 1 in comparison to the other two equations (EQ 2 and 4). Therefore, it is suggested that EQ 1 should be used as the last choice for the estimation of post-farrowing sow weight as it presented low trueness and precision, and also because the predicted weight estimated by EQ 1 was statistically lower than the observed weight (211.67 ± 33.33 kg vs. 216.84 ± 34.62 kg; P = 0.012). EQ 4 emonstrated higher trueness and precision; however, it did not differ significantly from EQ 2 and 1. Further analyses are required in order to validate EQ 3, 5, 6, and 7. Among the equations that were predicted as well as validated, the simplest and the easiest equation with satisfactory results for trueness and precision was EQ 2, which is as follows:Post-farrowing sow weight (kg) = 13.03 + (0.93 × pre-farrowing body weight, kg) + (–1.23 × piglets born, n