52 research outputs found

    Energy Expenditure In Vocalizations Of Pigs Under Stresses

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    Modern swine production faces many challenges nowadays, among which are productivity growth, meat quality improvement, decrease of environmental damage and reduction of cost production. Pigs spend energy to vocalizing, especially when they undergo stress. The waste of energy can increase the cost of production and lead to greater environmental damage. The goal of this study was to estimate the energy spent by pigs under the stress of castration and its effect on the animals' weight gain. Two groups of ten animals each were castrated, being one group with local anesthetic and the other without anesthetic. The piglets' vocalizations were recorded during different stages of the neutering process and then estimated of the amount of energy emitted during each vocalization. Afterwards, this energy was associated with the animals' weight gain. There was no difference in the total energy spent in both groups, since the energy used during the application of anesthetic was similar to the energy spent during the castration of the animals without anesthetic. There was also no correlation between energy spent and the animals' weight gain. It was possible to estimate the amount of energy emitted through vocalization. This energy spent by piglets in pain was greater than in other handling situations (contention, weighting and realease).335896901Cordeiro, A.F.S., Pereira, E.M., Nääs, I.A., Silva, W.T., Moura, D.J., Medida de Vocalização de Suínos (Sus scrofa) como um Indicador de Gasto Energético (2009), p. 2. , Brazilian Journal of Biosystems Engineering, CampinasCosta, A.N., Produção e bem-estar animal aspectos técnicos e éticos da produção intensiva de suínos (2008) Ciência Veterinária nos Trópicos, Recife 11, 1, pp. 43-48Costa, O.A.D., Ludke, J.V., Costa, M.J.R.P., Faucitano, L., Peloso, J.V., Roza, D.D., Modelo de carroceria e seu impacto sobre o bem-estar e a qualidade da carne dos suínos (2007) Ciência Rural, Santa Maria, 37 (5), pp. 1418-1422Dallanora, D., Machado, G.S., Biondo, N., Impacto da qualidade dos leitões desmamados sobre o desempenho posterior nas creches terminações (2010) Acta Scientiae Veterinariae, Porto Alegre, 37, pp. 171-180Hötzel, M.J., Machado Filho, L.C.P., (2013), pp. 34-38. , http://www.freewebs.com/hotzel/PorWorld2004.pdf, Comportamento e bem-estar dos leitões em relação ao desmame. Porkworld, Paulina, São Paulo 01 jul. 2004. Disponível em: Acesso em: 28 fevKummer, R., Gonçalves, M.A.D., Lippke, R.T., Marques, B.M.F., Mores, T.J., Fatores que influenciam o desempenho dos leitões na fase de creche (2009) Acta Scientiae Veterinariae, Porto Alegre, 37 (1), pp. 195-209Marx, G., Horn, T., Thielebein, J., Knubel, B., Borell, E., Analysis of pain-related vocalization in young pigs, Journal of Sound and Vibration (2003) Amsterdam 266, 3, pp. 687-698Moraes, E., Kiefer, C., Iandara Schettert Silva, I., S.Ractopamina em dietas para suínos machos imunocastrados, castrados e fêmeas (2010) Ciência Rural, Santa Maria40, pp. 2409-2414Moura, D.J., Silva, W.T., Nääs, I.A., Tolon, Y.B., Lima, K.A.O., Vale, M.M., Real timecomputer stress monitoring of piglets using vocalization analysis (2008) Computers and Electronics in Agriculture, Amsterdam, 64, pp. 111-118Nääs, I.A., Campos, L.S.L., Baracho, M.S., Tolon, Y.B., Uso de redes neurais artificiais na identificação de vocalização de suínos (2008) EngenhariaAgrícola, Jaboticabal, 28, pp. 2204-2216Pauly, C., Spring, P., O'doherty, J.V., Kragten, S.A., Bee, G., Growth performance, carcass characteristics and meat qualityof group-penned surgically castrated, immunocastrated(Improvac®) and entire male pigs and individually pennedentire male pigs (2009) The International Journal of Animal Biosciences, Cambridge, 3 (7), pp. 1057-1066Rault, J.-L., Lay, J.R., Marchant-Forde, J.N., Castration induced pain in pigs and other livestock (2011) Applied Animal Behaviour Science, Amsterdam, 135 (3), pp. 214-225Risi, N., Uso da vocalização como indicador patológico em leitões na fase de maternidade. 2010. 93 f. Dissertação (Mestrado) - Escola Superior de Agricultura "Luiz de Queiroz", Universidade de São Paulo (2010) PiracicabaSilva, R.B.T.R., Nääs, I.A., Moura, D.J., Silveira, N.A., Welfare norms for swine production under intensive rearing system.Brazilian Journal of Biosystems Engineering (2007) Campinas, 1 (2), pp. 137-145Smith, A.L., Stalder, K.J., Serenius, T.V., Baas, T.J., Mabry, J., W.Effects of piglet birth weights at weaning and 42 days post weaning (2007) Journal of Swine Health and Production, 15 (4), pp. 213-218Taylor, A.A., Weary, D.M., Vocal responses of piglets to castration: identifying procedural sources of pain (2000) Applied Animal Behaviour Science, Amsterdam, 70 (1), pp. 17-26Tolon, Y.B., Baracho, M.S., Nääs, I.A., Rojas, M., Moura, D.J., Ambiências térmica, aérea e acústica para reprodutores suínos EngenhariaAgrícola (2010) Jaboticabal, 30 (1), pp. 1-1

    Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017

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    A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4 (62.3 (55.1�70.8) million) to 6.4 (58.3 (47.6�70.7) million), but is predicted to remain above the World Health Organization�s Global Nutrition Target of <5 in over half of LMICs by 2025. Prevalence of overweight increased from 5.2 (30 (22.8�38.5) million) in 2000 to 6.0 (55.5 (44.8�67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic. © 2020, The Author(s)

    Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019

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    Background: Accurate and up-to-date assessment of demographic metrics is crucial for understanding a wide range of social, economic, and public health issues that affect populations worldwide. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 produced updated and comprehensive demographic assessments of the key indicators of fertility, mortality, migration, and population for 204 countries and territories and selected subnational locations from 1950 to 2019. Methods: 8078 country-years of vital registration and sample registration data, 938 surveys, 349 censuses, and 238 other sources were identified and used to estimate age-specific fertility. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate age-specific fertility rates for 5-year age groups between ages 15 and 49 years. With extensions to age groups 10–14 and 50–54 years, the total fertility rate (TFR) was then aggregated using the estimated age-specific fertility between ages 10 and 54 years. 7417 sources were used for under-5 mortality estimation and 7355 for adult mortality. ST-GPR was used to synthesise data sources after correction for known biases. Adult mortality was measured as the probability of death between ages 15 and 60 years based on vital registration, sample registration, and sibling histories, and was also estimated using ST-GPR. HIV-free life tables were then estimated using estimates of under-5 and adult mortality rates using a relational model life table system created for GBD, which closely tracks observed age-specific mortality rates from complete vital registration when available. Independent estimates of HIV-specific mortality generated by an epidemiological analysis of HIV prevalence surveys and antenatal clinic serosurveillance and other sources were incorporated into the estimates in countries with large epidemics. Annual and single-year age estimates of net migration and population for each country and territory were generated using a Bayesian hierarchical cohort component model that analysed estimated age-specific fertility and mortality rates along with 1250 censuses and 747 population registry years. We classified location-years into seven categories on the basis of the natural rate of increase in population (calculated by subtracting the crude death rate from the crude birth rate) and the net migration rate. We computed healthy life expectancy (HALE) using years lived with disability (YLDs) per capita, life tables, and standard demographic methods. Uncertainty was propagated throughout the demographic estimation process, including fertility, mortality, and population, with 1000 draw-level estimates produced for each metric. Findings: The global TFR decreased from 2•72 (95% uncertainty interval [UI] 2•66–2•79) in 2000 to 2•31 (2•17–2•46) in 2019. Global annual livebirths increased from 134•5 million (131•5–137•8) in 2000 to a peak of 139•6 million (133•0–146•9) in 2016. Global livebirths then declined to 135•3 million (127•2–144•1) in 2019. Of the 204 countries and territories included in this study, in 2019, 102 had a TFR lower than 2•1, which is considered a good approximation of replacement-level fertility. All countries in sub-Saharan Africa had TFRs above replacement level in 2019 and accounted for 27•1% (95% UI 26•4–27•8) of global livebirths. Global life expectancy at birth increased from 67•2 years (95% UI 66•8–67•6) in 2000 to 73•5 years (72•8–74•3) in 2019. The total number of deaths increased from 50•7 million (49•5–51•9) in 2000 to 56•5 million (53•7–59•2) in 2019. Under-5 deaths declined from 9•6 million (9•1–10•3) in 2000 to 5•0 million (4•3–6•0) in 2019. Global population increased by 25•7%, from 6•2 billion (6•0–6•3) in 2000 to 7•7 billion (7•5–8•0) in 2019. In 2019, 34 countries had negative natural rates of increase; in 17 of these, the population declined because immigration was not sufficient to counteract the negative rate of decline. Globally, HALE increased from 58•6 years (56•1–60•8) in 2000 to 63•5 years (60•8–66•1) in 2019. HALE increased in 202 of 204 countries and territories between 2000 and 2019. Interpretation: Over the past 20 years, fertility rates have been dropping steadily and life expectancy has been increasing, with few exceptions. Much of this change follows historical patterns linking social and economic determinants, such as those captured by the GBD Socio-demographic Index, with demographic outcomes. More recently, several countries have experienced a combination of low fertility and stagnating improvement in mortality rates, pushing more populations into the late stages of the demographic transition. Tracking demographic change and the emergence of new patterns will be essential for global health monitoring. Funding: Bill & Melinda Gates Foundation. © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licens
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