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Research data keyboard_double_arrow_right Dataset 2021Publisher:figshare Funded by:EC | COPEWELL, FCT | SFRH/BPD/72952/2010, FCT | SFRH/BD/80029/2011EC| COPEWELL ,FCT| SFRH/BPD/72952/2010 ,FCT| SFRH/BD/80029/2011Cerqueira, Marco; Millot, Sandie; Silva, Tomé; Félix, Ana S.; Castanheira, Maria Filipa; Rey, Sonia; MacKenzie, Simon; Oliveira, Gonçalo A.; Oliveira, Catarina C. V.; Oliveira, Rui F.;Additional file 2. Raw data.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Collection 2021Publisher:figshare Funded by:EC | COPEWELL, FCT | SFRH/BPD/72952/2010, FCT | SFRH/BD/80029/2011EC| COPEWELL ,FCT| SFRH/BPD/72952/2010 ,FCT| SFRH/BD/80029/2011Cerqueira, Marco; Millot, Sandie; Silva, Tomé; Félix, Ana S.; Castanheira, Maria Filipa; Rey, Sonia; MacKenzie, Simon; Oliveira, Gonçalo A.; Oliveira, Catarina C. V.; Oliveira, Rui F.;Abstract Background In humans the stress response is known to be modulated to a great extent by psychological factors, particularly by the predictability and the perceived control that the subject has of the stressor. This psychological dimension of the stress response has also been demonstrated in animals phylogenetically closer to humans (i.e. mammals). However, its occurrence in fish, which represent a divergent vertebrate evolutionary lineage from that of mammals, has not been established yet, and, if present, would indicate a deep evolutionary origin of these mechanisms across vertebrates. Moreover, the fact that psychological modulation of stress is implemented in mammals by a brain cortical top-down inhibitory control over subcortical stress-responsive structures, and the absence of a brain cortex in fish, has been used as an argument against the possibility of psychological stress in fish, with implications for the assessment of fish sentience and welfare. Here, we have investigated the occurrence of psychological stress in fish by assessing how stressor controllability modulates the stress response in European seabass (Dicentrarchus labrax). Results Fish were exposed to either a controllable or an uncontrollable stressor (i.e. possibility or impossibility to escape a signaled stressor). The effect of loss of control (possibility to escape followed by impossibility to escape) was also assessed. Both behavioral and circulating cortisol data indicates that the perception of control reduces the response to the stressor, when compared to the uncontrollable situation. Losing control had the most detrimental effect. The brain activity of the teleost homologues to the sensory cortex (Dld) and hippocampus (Dlv) parallels the uncontrolled and loss of control stressors, respectively, whereas the activity of the lateral septum (Vv) homologue responds in different ways depending on the gene marker of brain activity used. Conclusions These results suggest the psychological modulation of the stress response to be evolutionary conserved across vertebrates, despite being implemented by different brain circuits in mammals (pre-frontal cortex) and fish (Dld-Dlv).
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Bioentity 2020Funded by:FCT | PTNMR, FCT | WANDA, EC | EGFR-Activ +1 projectsFCT| PTNMR ,FCT| WANDA ,EC| EGFR-Activ ,EC| MEECEAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=pdb_________::c1fc86df2f534d0662c83dee411aa13a&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=pdb_________::c1fc86df2f534d0662c83dee411aa13a&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Bioentity 2020Funded by:FCT | WANDA, EC | EGFR-Activ, FCT | PTNMR +1 projectsFCT| WANDA ,EC| EGFR-Activ ,FCT| PTNMR ,EC| MEECEAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=pdb_________::dd696b93e499a3396ff4f78c5920e639&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=pdb_________::dd696b93e499a3396ff4f78c5920e639&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020Publisher:The Royal Society Funded by:FCT | SFRH/BPD/72952/2010, EC | COPEWELL, FCT | SFRH/BD/80029/2011FCT| SFRH/BPD/72952/2010 ,EC| COPEWELL ,FCT| SFRH/BD/80029/2011M. Cerqueira; S. Millot; A. Felix; T. Silva; G.A. Oliveira; C. C. V. Oliveira; S. Rey; S. MacKenzie; R. Oliveira;Excel file with raw data used in this paper
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Collection 2020Publisher:The Royal Society Funded by:EC | COPEWELL, FCT | SFRH/BD/80029/2011, FCT | SFRH/BPD/72952/2010EC| COPEWELL ,FCT| SFRH/BD/80029/2011 ,FCT| SFRH/BPD/72952/2010M. Cerqueira; S. Millot; A. Felix; T. Silva; G.A. Oliveira; C. C. V. Oliveira; S. Rey; S. MacKenzie; R. Oliveira;The role of cognitive factors in triggering the stress response is well established in humans and mammals (aka cognitive appraisal theory) but very seldom studied in other vertebrate taxa. Predictability is a key factor of the cognitive evaluation of stimuli. In this study, we tested the effects of stressor predictability on behavioral, physiological and neuromolecular responses in the European sea bass (Dicentrarchus labrax). Groups of four fish were exposed to a predictable (signalled) or unpredictable (unsignalled) stressor. Stressor predictability elicited a lower behavioural response and reduced cortisol levels. Using the expression of immediate early genes (c-fos, egr-1, bdnf and npas4) as markers of neuronal activity, the activity of three sea bass brain regions (the dorsomedian telencephalon, Dm (putative homologue of the pallial amygdala); and the dorsal (Dld) and ventral (Dlv) subareas of the dorsolateral telencephalon (putative homologue of the hippocampus)), known to be implicated in stressor appraisal, were monitored. The activity of both the Dm and Dlv significantly responded to stressor predictability, suggesting an evolutionary conserved role of these two brain regions in information processing related to stressor appraisal. These results indicate that stressor predictability plays a key role in the activation of the stress response in a teleost fish, hence highlighting the role of cognitive processes in fish stress.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019Embargo end date: 12 Jan 2019 EnglishPublisher:Dryad Funded by:EC | ERA-PLANET, NSF | Spatial Ecology of Predat..., NSF | Dissertation Research: Ad... +6 projectsEC| ERA-PLANET ,NSF| Spatial Ecology of Predator-Prey Relationships in East Africa ,NSF| Dissertation Research: Adaptive Significance of Male Parental Care in Tamarins (Saguinus geoffroyi) ,FCT| SFRH/BPD/111084/2015 ,NSF| ANIMA (Accelerometer Network Integrator for Mobile Animals), a New Instrument Package for Integrating Behavior, Physiology and Ecology of Wild Mammals ,EC| GO-IN ,NSF| ABI Innovation: Advanced mathematical, statistical, and software tools to unlock the potential of animal tracking data ,IRC ,NSF| Energy Scavenging Collar for Animal Physiology and Ecology (ESCAPE)Authors: Tucker, Marlee A.; Böhning-Gaese, Katrin; Fagan, William F.; Fryxell, John M.; +111 AuthorsTucker, Marlee A.; Böhning-Gaese, Katrin; Fagan, William F.; Fryxell, John M.; Van Moorter, Bram; Alberts, Susan C.; Ali, Abdullahi H.; Allen, Andrew M.; Attias, Nina; Avgar, Tal; Bartlam-Brooks, Hattie; Bayarbaatar, Buuveibaatar; Belant, Jerrold L.; Bertassoni, Alessandra; Beyer, Dean; Bidner, Laura; van Beest, Floris M.; Blake, Stephen; Blaum, Niels; Bracis, Chloe; Brown, Danielle; de Bruyn, P. J. Nico; Cagnacci, Francesca; Calabrese, Justin M.; Camilo-Alves, Constança; Chamaillé-Jammes, Simon; Chiaradia, Andre; Davidson, Sarah C.; Dennis, Todd; DeStefano, Stephen; Diefenbach, Duane; Douglas-Hamilton, Iain; Fennessy, Julian; Fichtel, Claudia; Fiedler, Wolfgang; Fischer, Christina; Fischhoff, Ilya; Fleming, Christen H.; Ford, Adam T.; Fritz, Susanne A.; Gehr, Benedikt; Goheen, Jacob R.; Gurarie, Eliezer; Hebblewhite, Mark; Heurich, Marco; Hewison, A. J. Mark; Hof, Christian; Hurme, Edward; Isbell, Lynne A.; Janssen, René; Jeltsch, Florian; Kaczensky, Petra; Kane, Adam; Kappeler, Peter M.; Kauffman, Matthew; Kays, Roland; Kimuyu, Duncan; Koch, Flavia; Kranstauber, Bart; LaPoint, Scott; Leimgruber, Peter; Linnell, John D. C.; López-López, Pascual; Markham, A. Catherine; Mattisson, Jenny; Medici, Emilia Patricia; Mellone, Ugo; Merrill, Evelyn; de Miranda Mourão, Guilherme; Morato, Ronaldo G.; Morellet, Nicolas; Morrison, Thomas A.; Díaz-Muñoz, Samuel L.; Mysterud, Atle; Nandintsetseg, Dejid; Nathan, Ran; Niamir, Aidin; Odden, John; O'Hara, Robert B.; Oliveira-Santos, Luiz Gustavo R.; Olson, Kirk A.; Patterson, Bruce D.; Cunha de Paula, Rogerio; Pedrotti, Luca; Reineking, Björn; Rimmler, Martin; Rogers, Tracey L.; Rolandsen, Christer Moe; Rosenberry, Christopher S.; Rubenstein, Daniel I.; Safi, Kamran; Saïd, Sonia; Sapir, Nir; Sawyer, Hall; Schmidt, Niels Martin; Selva, Nuria; Sergiel, Agnieszka; Shiilegdamba, Enkhtuvshin; Silva, João Paulo; Singh, Navinder; Solberg, Erling J.; Spiegel, Orr; Strand, Olav; Sundaresan, Siva; Ullmann, Wiebke; Voigt, Ulrich; Wall, Jake; Wattles, David; Wikelski, Martin; Wilmers, Christopher C.; Wilson, John W.; Wittemyer, George; Zięba, Filip; Zwijacz-Kozica, Tomasz; Mueller, Thomas;handle: 2066/217723
Animal movement is fundamental for ecosystem functioning and species survival, yet the effects of the anthropogenic footprint on animal movements have not been estimated across species. Using a unique GPS-tracking database of 803 individuals across 57 species, we found that movements of mammals in areas with a comparatively high human footprint were on average one-half to one-third the extent of their movements in areas with a low human footprint. We attribute this reduction to behavioral changes of individual animals and to the exclusion of species with long-range movements from areas with higher human impact. Global loss of vagility alters a key ecological trait of animals that affects not only population persistence but also ecosystem processes such as predator-prey interactions, nutrient cycling, and disease transmission. Terrestrial Mammal Displacement DataThis data file includes median (0.5 quantile) and long-distance (0.95 quantile) displacement distances for 803 individuals spanning 57 terrestrial mammal species. Also included are mean body mass, trophic guild, mean Normalised Difference Vegetation Index (NDVI) and mean human footprint index values for each individual. Displacement values are in kilometres and body mass values are in grams. The displacement and body mass values are log10 transformed and the NDVI values are scaled. Please note that each row within a time interval represents a different individual. Please see the associated manuscript and supplementary materials for details on the data sources and calculation methods.MammalDisplacementData.csv
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 29visibility views 29 download downloads 17 Powered bymore_vert NARCIS arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2018Embargo end date: 02 Apr 2018 Spain EnglishPublisher:Dryad Funded by:FCT | SFRH/BD/73732/2010, EC | COMPAREFCT| SFRH/BD/73732/2010 ,EC| COMPAREQueirós, João; Alves, Paulo C.; Vicente, Joaquín; Gortázar, Christian; Fuente, José de la;doi: 10.5061/dryad.39c3k
handle: 10261/281263
Tuberculosis (TB) affects a wide range of host species worldwide. Understanding host-pathogen co-evolution remains a global challenge owing to complex interactions among host genetic factors, pathogen traits and environmental conditions. We used an endemic wild boar population that had undergone a huge increase in Mycobacterium bovis infection prevalence, from 45% in 2002/06 to 83% in 2009/12, to understand the effects of host genetics on host TB outcomes and disease dynamics. Host genomic variation was characterized using a high-density single nucleotide polymorphism (SNP) array, while host TB phenotype was assessed using both gross pathology and mycobacterial culture. Two complementary genome-wide association (GWAS) analyses were conducted: (i) infected-uninfected; and (ii) 2002/06–2009/12. The SNPs with the highest allelic frequency differences between time-periods and TB outcomes were identified and validated in a large dataset. In addition, we quantified the expression levels of some of their closest genes. These analyses highlighted various SNPs (i.e. rs81465339, rs81394585, rs81423166) and some of the closest genes (i.e. LOC102164072, BDNF/NT-3, NTRK2, CDH8, IGSF21) as candidates for host genetic susceptibility. In addition to TB-driven selection, our findings outline the putative role of demographic events in shaping genomic variation in natural populations and how population crashes and drift may impact host genetic susceptibility to TB over time. Raw_SNP_data Structure_SNP_data 64_ind_29504_SNPs Dataset used for calculating genome diversity parameters 44_ind_29504_SNPs Dataset applied in the genome-wide association studies 76_ind_8_SNPs Dataset used in the validation of genome-wide association studies GWAS_TB_standard_44 GWAS summary statistics for infected vs infected MTC individuals GWAS_TB_stratified_44 GWAS summary statistics for stratified analysis of infected vs. uninfected MTC individuals GWAS_TB_standard_76 GWAS summary statistics for the validation test between infected vs. uninfected MTC individuals GWAS_TB_stratified_76 GWAS summary statistics for the validation test, stratified analysis, between infected vs. uninfected MTC individuals GWAS_Season_standard_44 GWAS summary statistics of 2002/06 vs. 2009/12 seasons GWAS_Season_stratified_44 GWAS summary statistics of stratified analysis for 2002/06 vs. 2009/12 seasons. GWAS_Season_standard_76 GWAS summary statistics for the validation test between 2002/06 vs. 2009/12 seasons. GWAS_Season_stratified_76 GWAS summary statistics for the validation test, stratified analysis, between 2002/06 vs. 2009/12 seasons. Peer reviewed
DRYAD; ZENODO; NARCI... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2018 . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 29visibility views 29 download downloads 10 Powered bymore_vert DRYAD; ZENODO; NARCI... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2018 . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2018Embargo end date: 02 Feb 2018 EnglishPublisher:Dryad Funded by:NSF | Collaborative Research: C..., NSF | LTREB RENEWAL: Collaborat..., FCT | SFRH/BPD/74400/2010 +2 projectsNSF| Collaborative Research: Controls over Prairie Plant Range Distributions under Future Climate Change ,NSF| LTREB RENEWAL: Collaborative Research: Population- and community-level mechanisms of range limitation in a variable and changing environment ,FCT| SFRH/BPD/74400/2010 ,EC| BLUEandGREEN ,EC| MERCESAuthors: Montero-Serra, Ignasi; Linares, Cristina; Doak, Daniel F.; Ledoux, Jean-Baptiste; +1 AuthorsMontero-Serra, Ignasi; Linares, Cristina; Doak, Daniel F.; Ledoux, Jean-Baptiste; Garrabou, Joaquim;doi: 10.5061/dryad.p0b6b
Understanding the role of the environment in shaping the evolution of life histories remains a major challenge in ecology and evolution. We synthesize longevity patterns of marine sessile species and find strong positive relationships between depth and maximum lifespan across multiple sessile marine taxa, including corals, bivalves, sponges and macroalgae. Using long-term demographic data on marine sessile and terrestrial plant species, we show that extreme longevity leads to strongly dampened population dynamics. We also used detailed analyses of Mediterranean red coral, with a maximum lifespan of 532 yr, to explore the life-history patterns of long-lived taxa and the vulnerability to external mortality sources that these characteristics can create. Depth-related environmental gradients – including light, food availability, temperature, and disturbance intensity –drive highly predictable distributions of life histories that, in turn, have predictable ecological consequences for the dynamics of natural populations. C_rubrum_demographySize-based individual demographic data of Mediterranean red coral (Corallium rubrum) populations in the NW Mediterranean Sea.Data_C_rubrum_demography_1.csv
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Collection 2018Publisher:Figshare Funded by:FCT | Epidemiology Research Uni..., NIH | PCBs and Otodevelopment i..., NIH | Women's Health and the En... +24 projectsFCT| Epidemiology Research Unit - Institute of Public Health, University of Porto ,NIH| PCBs and Otodevelopment in Eastern Slovakia ,NIH| Women's Health and the Environment over the Entire Lifespan (WHEEL) ,EC| ObesityDevelop ,CIHR ,NIH| Gene-Environment Interactions in an Autism Birth Cohort ,EC| DYNAHEALTH ,EC| EARLYNUTRITION ,AKA| Moisture damaged homes, environmental microbes and development of immune system, allergies and asthma in childhood: a birth-cohort study ,NIH| Common and distinct early environmental influences on cardiometabolic and respiratory health: Mechanisms and methods ,AKA| Prospective longitudinal study of childhood risk factors in the development of obesity ,EC| ENRIECO ,NIH| VULNERABILITY OF THE FETUS/INFANT TO PAH, PM2.5 AND ETS. ,AKA| Recurrent respiratory infections in children: viral-bacterial synergism, environmental factors and genetic susceptibility ,NIH| Early Childhood Development and PCB Exposures in Slovak* ,NIH| ENVIRONMENTAL AGENTS AS MODULATORS OF DISEASE PROCESSES ,NIH| Early vitamin D status and supplement use and later body composition and bone health ,EC| LIFECYCLE ,UKRI| Integrative epidemiology for exploring how women’s reproductive health influences cardiometabolic health. ,EC| HEALS ,NIH| Developmental effects of early-life exposure to airborne PAHs. ,FCT| Pathways from early life to cardiometabolic risk during childhood ,EC| ESCAPE ,EC| DENAMIC ,EC| EMBRYOandLATERHEALTH ,EC| HELIX ,NWO| Blue ActionSantos, Susana; Eekhout, Iris; Voerman, Ellis; Gaillard, Romy; Barros, Henrique; Marie-Aline Charles; Chatzi, Leda; Chevrier, Cécile; Chrousos, George; Corpeleijn, Eva; Costet, Nathalie; Crozier, Sarah; Doyon, Myriam; Eggesbø, Merete; Fantini, Maria; Farchi, Sara; Forastiere, Francesco; Gagliardi, Luigi; Vagelis Georgiu; Godfrey, Keith; Gori, Davide; Grote, Veit; Hanke, Wojciech; Irva Hertz-Picciotto; Heude, Barbara; Marie-France Hivert; Hryhorczuk, Daniel; Rae-Chi Huang; Inskip, Hazel; Jusko, Todd; Karvonen, Anne; Koletzko, Berthold; Küpers, Leanne; Lagström, Hanna; Lawlor, Debbie; Lehmann, Irina; Maria-Jose Lopez-Espinosa; Magnus, Per; Majewska, Renata; Mäkelä, Johanna; Manios, Yannis; McDonald, Sheila; Mommers, Monique; Morgen, Camilla; Moschonis, George; Ľubica Murínová; Newnham, John; Nohr, Ellen; Andersen, Anne-Marie; Oken, Emily; Adriëtte Oostvogels; Pac, Agnieszka; Papadopoulou, Eleni; Pekkanen, Juha; Pizzi, Costanza; Polanska, Kinga; Porta, Daniela; Richiardi, Lorenzo; Rifas-Shiman, Sheryl; Roeleveld, Nel; Santa-Marina, Loreto; Santos, Ana; Smit, Henriette; Sørensen, Thorkild; Standl, Marie; Stanislawski, Maggie; Stoltenberg, Camilla; Thiering, Elisabeth; Thijs, Carel; Maties Torrent; Tough, Suzanne; Trnovec, Tomas; Gelder, Marleen Van; Rossem, Lenie Van; Berg, Andrea Von; Vrijheid, Martine; Vrijkotte, Tanja; Zvinchuk, Oleksandr; Buuren, Stef Van; Jaddoe, Vincent;Abstract Background Gestational weight gain differs according to pre-pregnancy body mass index and is related to the risks of adverse maternal and child health outcomes. Gestational weight gain charts for women in different pre-pregnancy body mass index groups enable identification of women and offspring at risk for adverse health outcomes. We aimed to construct gestational weight gain reference charts for underweight, normal weight, overweight, and grades 1, 2 and 3 obese women and to compare these charts with those obtained in women with uncomplicated term pregnancies. Methods We used individual participant data from 218,216 pregnant women participating in 33 cohorts from Europe, North America, and Oceania. Of these women, 9065 (4.2%), 148,697 (68.1%), 42,678 (19.6%), 13,084 (6.0%), 3597 (1.6%), and 1095 (0.5%) were underweight, normal weight, overweight, and grades 1, 2, and 3 obese women, respectively. A total of 138, 517 women from 26 cohorts had pregnancies with no hypertensive or diabetic disorders and with term deliveries of appropriate for gestational age at birth infants. Gestational weight gain charts for underweight, normal weight, overweight, and grade 1, 2, and 3 obese women were derived by the Box-Cox t method using the generalized additive model for location, scale, and shape. Results We observed that gestational weight gain strongly differed per maternal pre-pregnancy body mass index group. The median (interquartile range) gestational weight gain at 40 weeks was 14.2 kg (11.4–17.4) for underweight women, 14.5 kg (11.5–17.7) for normal weight women, 13.9 kg (10.1–17.9) for overweight women, and 11.2 kg (7.0–15.7), 8.7 kg (4.3–13.4) and 6.3 kg (1.9–11.1) for grades 1, 2, and 3 obese women, respectively. The rate of weight gain was lower in the first half than in the second half of pregnancy. No differences in the patterns of weight gain were observed between cohorts or countries. Similar weight gain patterns were observed in mothers without pregnancy complications. Conclusions Gestational weight gain patterns are strongly related to pre-pregnancy body mass index. The derived charts can be used to assess gestational weight gain in etiological research and as a monitoring tool for weight gain during pregnancy in clinical practice.
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Research data keyboard_double_arrow_right Dataset 2021Publisher:figshare Funded by:EC | COPEWELL, FCT | SFRH/BPD/72952/2010, FCT | SFRH/BD/80029/2011EC| COPEWELL ,FCT| SFRH/BPD/72952/2010 ,FCT| SFRH/BD/80029/2011Cerqueira, Marco; Millot, Sandie; Silva, Tomé; Félix, Ana S.; Castanheira, Maria Filipa; Rey, Sonia; MacKenzie, Simon; Oliveira, Gonçalo A.; Oliveira, Catarina C. V.; Oliveira, Rui F.;Additional file 2. Raw data.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Collection 2021Publisher:figshare Funded by:EC | COPEWELL, FCT | SFRH/BPD/72952/2010, FCT | SFRH/BD/80029/2011EC| COPEWELL ,FCT| SFRH/BPD/72952/2010 ,FCT| SFRH/BD/80029/2011Cerqueira, Marco; Millot, Sandie; Silva, Tomé; Félix, Ana S.; Castanheira, Maria Filipa; Rey, Sonia; MacKenzie, Simon; Oliveira, Gonçalo A.; Oliveira, Catarina C. V.; Oliveira, Rui F.;Abstract Background In humans the stress response is known to be modulated to a great extent by psychological factors, particularly by the predictability and the perceived control that the subject has of the stressor. This psychological dimension of the stress response has also been demonstrated in animals phylogenetically closer to humans (i.e. mammals). However, its occurrence in fish, which represent a divergent vertebrate evolutionary lineage from that of mammals, has not been established yet, and, if present, would indicate a deep evolutionary origin of these mechanisms across vertebrates. Moreover, the fact that psychological modulation of stress is implemented in mammals by a brain cortical top-down inhibitory control over subcortical stress-responsive structures, and the absence of a brain cortex in fish, has been used as an argument against the possibility of psychological stress in fish, with implications for the assessment of fish sentience and welfare. Here, we have investigated the occurrence of psychological stress in fish by assessing how stressor controllability modulates the stress response in European seabass (Dicentrarchus labrax). Results Fish were exposed to either a controllable or an uncontrollable stressor (i.e. possibility or impossibility to escape a signaled stressor). The effect of loss of control (possibility to escape followed by impossibility to escape) was also assessed. Both behavioral and circulating cortisol data indicates that the perception of control reduces the response to the stressor, when compared to the uncontrollable situation. Losing control had the most detrimental effect. The brain activity of the teleost homologues to the sensory cortex (Dld) and hippocampus (Dlv) parallels the uncontrolled and loss of control stressors, respectively, whereas the activity of the lateral septum (Vv) homologue responds in different ways depending on the gene marker of brain activity used. Conclusions These results suggest the psychological modulation of the stress response to be evolutionary conserved across vertebrates, despite being implemented by different brain circuits in mammals (pre-frontal cortex) and fish (Dld-Dlv).
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Bioentity 2020Funded by:FCT | PTNMR, FCT | WANDA, EC | EGFR-Activ +1 projectsFCT| PTNMR ,FCT| WANDA ,EC| EGFR-Activ ,EC| MEECEAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=pdb_________::c1fc86df2f534d0662c83dee411aa13a&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=pdb_________::c1fc86df2f534d0662c83dee411aa13a&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Bioentity 2020Funded by:FCT | WANDA, EC | EGFR-Activ, FCT | PTNMR +1 projectsFCT| WANDA ,EC| EGFR-Activ ,FCT| PTNMR ,EC| MEECEAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=pdb_________::dd696b93e499a3396ff4f78c5920e639&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=pdb_________::dd696b93e499a3396ff4f78c5920e639&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020Publisher:The Royal Society Funded by:FCT | SFRH/BPD/72952/2010, EC | COPEWELL, FCT | SFRH/BD/80029/2011FCT| SFRH/BPD/72952/2010 ,EC| COPEWELL ,FCT| SFRH/BD/80029/2011M. Cerqueira; S. Millot; A. Felix; T. Silva; G.A. Oliveira; C. C. V. Oliveira; S. Rey; S. MacKenzie; R. Oliveira;Excel file with raw data used in this paper
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Collection 2020Publisher:The Royal Society Funded by:EC | COPEWELL, FCT | SFRH/BD/80029/2011, FCT | SFRH/BPD/72952/2010EC| COPEWELL ,FCT| SFRH/BD/80029/2011 ,FCT| SFRH/BPD/72952/2010M. Cerqueira; S. Millot; A. Felix; T. Silva; G.A. Oliveira; C. C. V. Oliveira; S. Rey; S. MacKenzie; R. Oliveira;The role of cognitive factors in triggering the stress response is well established in humans and mammals (aka cognitive appraisal theory) but very seldom studied in other vertebrate taxa. Predictability is a key factor of the cognitive evaluation of stimuli. In this study, we tested the effects of stressor predictability on behavioral, physiological and neuromolecular responses in the European sea bass (Dicentrarchus labrax). Groups of four fish were exposed to a predictable (signalled) or unpredictable (unsignalled) stressor. Stressor predictability elicited a lower behavioural response and reduced cortisol levels. Using the expression of immediate early genes (c-fos, egr-1, bdnf and npas4) as markers of neuronal activity, the activity of three sea bass brain regions (the dorsomedian telencephalon, Dm (putative homologue of the pallial amygdala); and the dorsal (Dld) and ventral (Dlv) subareas of the dorsolateral telencephalon (putative homologue of the hippocampus)), known to be implicated in stressor appraisal, were monitored. The activity of both the Dm and Dlv significantly responded to stressor predictability, suggesting an evolutionary conserved role of these two brain regions in information processing related to stressor appraisal. These results indicate that stressor predictability plays a key role in the activation of the stress response in a teleost fish, hence highlighting the role of cognitive processes in fish stress.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019Embargo end date: 12 Jan 2019 EnglishPublisher:Dryad Funded by:EC | ERA-PLANET, NSF | Spatial Ecology of Predat..., NSF | Dissertation Research: Ad... +6 projectsEC| ERA-PLANET ,NSF| Spatial Ecology of Predator-Prey Relationships in East Africa ,NSF| Dissertation Research: Adaptive Significance of Male Parental Care in Tamarins (Saguinus geoffroyi) ,FCT| SFRH/BPD/111084/2015 ,NSF| ANIMA (Accelerometer Network Integrator for Mobile Animals), a New Instrument Package for Integrating Behavior, Physiology and Ecology of Wild Mammals ,EC| GO-IN ,NSF| ABI Innovation: Advanced mathematical, statistical, and software tools to unlock the potential of animal tracking data ,IRC ,NSF| Energy Scavenging Collar for Animal Physiology and Ecology (ESCAPE)Authors: Tucker, Marlee A.; Böhning-Gaese, Katrin; Fagan, William F.; Fryxell, John M.; +111 AuthorsTucker, Marlee A.; Böhning-Gaese, Katrin; Fagan, William F.; Fryxell, John M.; Van Moorter, Bram; Alberts, Susan C.; Ali, Abdullahi H.; Allen, Andrew M.; Attias, Nina; Avgar, Tal; Bartlam-Brooks, Hattie; Bayarbaatar, Buuveibaatar; Belant, Jerrold L.; Bertassoni, Alessandra; Beyer, Dean; Bidner, Laura; van Beest, Floris M.; Blake, Stephen; Blaum, Niels; Bracis, Chloe; Brown, Danielle; de Bruyn, P. J. Nico; Cagnacci, Francesca; Calabrese, Justin M.; Camilo-Alves, Constança; Chamaillé-Jammes, Simon; Chiaradia, Andre; Davidson, Sarah C.; Dennis, Todd; DeStefano, Stephen; Diefenbach, Duane; Douglas-Hamilton, Iain; Fennessy, Julian; Fichtel, Claudia; Fiedler, Wolfgang; Fischer, Christina; Fischhoff, Ilya; Fleming, Christen H.; Ford, Adam T.; Fritz, Susanne A.; Gehr, Benedikt; Goheen, Jacob R.; Gurarie, Eliezer; Hebblewhite, Mark; Heurich, Marco; Hewison, A. J. Mark; Hof, Christian; Hurme, Edward; Isbell, Lynne A.; Janssen, René; Jeltsch, Florian; Kaczensky, Petra; Kane, Adam; Kappeler, Peter M.; Kauffman, Matthew; Kays, Roland; Kimuyu, Duncan; Koch, Flavia; Kranstauber, Bart; LaPoint, Scott; Leimgruber, Peter; Linnell, John D. C.; López-López, Pascual; Markham, A. Catherine; Mattisson, Jenny; Medici, Emilia Patricia; Mellone, Ugo; Merrill, Evelyn; de Miranda Mourão, Guilherme; Morato, Ronaldo G.; Morellet, Nicolas; Morrison, Thomas A.; Díaz-Muñoz, Samuel L.; Mysterud, Atle; Nandintsetseg, Dejid; Nathan, Ran; Niamir, Aidin; Odden, John; O'Hara, Robert B.; Oliveira-Santos, Luiz Gustavo R.; Olson, Kirk A.; Patterson, Bruce D.; Cunha de Paula, Rogerio; Pedrotti, Luca; Reineking, Björn; Rimmler, Martin; Rogers, Tracey L.; Rolandsen, Christer Moe; Rosenberry, Christopher S.; Rubenstein, Daniel I.; Safi, Kamran; Saïd, Sonia; Sapir, Nir; Sawyer, Hall; Schmidt, Niels Martin; Selva, Nuria; Sergiel, Agnieszka; Shiilegdamba, Enkhtuvshin; Silva, João Paulo; Singh, Navinder; Solberg, Erling J.; Spiegel, Orr; Strand, Olav; Sundaresan, Siva; Ullmann, Wiebke; Voigt, Ulrich; Wall, Jake; Wattles, David; Wikelski, Martin; Wilmers, Christopher C.; Wilson, John W.; Wittemyer, George; Zięba, Filip; Zwijacz-Kozica, Tomasz; Mueller, Thomas;handle: 2066/217723
Animal movement is fundamental for ecosystem functioning and species survival, yet the effects of the anthropogenic footprint on animal movements have not been estimated across species. Using a unique GPS-tracking database of 803 individuals across 57 species, we found that movements of mammals in areas with a comparatively high human footprint were on average one-half to one-third the extent of their movements in areas with a low human footprint. We attribute this reduction to behavioral changes of individual animals and to the exclusion of species with long-range movements from areas with higher human impact. Global loss of vagility alters a key ecological trait of animals that affects not only population persistence but also ecosystem processes such as predator-prey interactions, nutrient cycling, and disease transmission. Terrestrial Mammal Displacement DataThis data file includes median (0.5 quantile) and long-distance (0.95 quantile) displacement distances for 803 individuals spanning 57 terrestrial mammal species. Also included are mean body mass, trophic guild, mean Normalised Difference Vegetation Index (NDVI) and mean human footprint index values for each individual. Displacement values are in kilometres and body mass values are in grams. The displacement and body mass values are log10 transformed and the NDVI values are scaled. Please note that each row within a time interval represents a different individual. Please see the associated manuscript and supplementary materials for details on the data sources and calculation methods.MammalDisplacementData.csv
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 29visibility views 29 download downloads 17 Powered bymore_vert NARCIS arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2018Embargo end date: 02 Apr 2018 Spain EnglishPublisher:Dryad Funded by:FCT | SFRH/BD/73732/2010, EC | COMPAREFCT| SFRH/BD/73732/2010 ,EC| COMPAREQueirós, João; Alves, Paulo C.; Vicente, Joaquín; Gortázar, Christian; Fuente, José de la;doi: 10.5061/dryad.39c3k
handle: 10261/281263
Tuberculosis (TB) affects a wide range of host species worldwide. Understanding host-pathogen co-evolution remains a global challenge owing to complex interactions among host genetic factors, pathogen traits and environmental conditions. We used an endemic wild boar population that had undergone a huge increase in Mycobacterium bovis infection prevalence, from 45% in 2002/06 to 83% in 2009/12, to understand the effects of host genetics on host TB outcomes and disease dynamics. Host genomic variation was characterized using a high-density single nucleotide polymorphism (SNP) array, while host TB phenotype was assessed using both gross pathology and mycobacterial culture. Two complementary genome-wide association (GWAS) analyses were conducted: (i) infected-uninfected; and (ii) 2002/06–2009/12. The SNPs with the highest allelic frequency differences between time-periods and TB outcomes were identified and validated in a large dataset. In addition, we quantified the expression levels of some of their closest genes. These analyses highlighted various SNPs (i.e. rs81465339, rs81394585, rs81423166) and some of the closest genes (i.e. LOC102164072, BDNF/NT-3, NTRK2, CDH8, IGSF21) as candidates for host genetic susceptibility. In addition to TB-driven selection, our findings outline the putative role of demographic events in shaping genomic variation in natural populations and how population crashes and drift may impact host genetic susceptibility to TB over time. Raw_SNP_data Structure_SNP_data 64_ind_29504_SNPs Dataset used for calculating genome diversity parameters 44_ind_29504_SNPs Dataset applied in the genome-wide association studies 76_ind_8_SNPs Dataset used in the validation of genome-wide association studies GWAS_TB_standard_44 GWAS summary statistics for infected vs infected MTC individuals GWAS_TB_stratified_44 GWAS summary statistics for stratified analysis of infected vs. uninfected MTC individuals GWAS_TB_standard_76 GWAS summary statistics for the validation test between infected vs. uninfected MTC individuals GWAS_TB_stratified_76 GWAS summary statistics for the validation test, stratified analysis, between infected vs. uninfected MTC individuals GWAS_Season_standard_44 GWAS summary statistics of 2002/06 vs. 2009/12 seasons GWAS_Season_stratified_44 GWAS summary statistics of stratified analysis for 2002/06 vs. 2009/12 seasons. GWAS_Season_standard_76 GWAS summary statistics for the validation test between 2002/06 vs. 2009/12 seasons. GWAS_Season_stratified_76 GWAS summary statistics for the validation test, stratified analysis, between 2002/06 vs. 2009/12 seasons. Peer reviewed
DRYAD; ZENODO; NARCI... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2018 . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 29visibility views 29 download downloads 10 Powered bymore_vert DRYAD; ZENODO; NARCI... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2018 . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2018Embargo end date: 02 Feb 2018 EnglishPublisher:Dryad Funded by:NSF | Collaborative Research: C..., NSF | LTREB RENEWAL: Collaborat..., FCT | SFRH/BPD/74400/2010 +2 projectsNSF| Collaborative Research: Controls over Prairie Plant Range Distributions under Future Climate Change ,NSF| LTREB RENEWAL: Collaborative Research: Population- and community-level mechanisms of range limitation in a variable and changing environment ,FCT| SFRH/BPD/74400/2010 ,EC| BLUEandGREEN ,EC| MERCESAuthors: Montero-Serra, Ignasi; Linares, Cristina; Doak, Daniel F.; Ledoux, Jean-Baptiste; +1 AuthorsMontero-Serra, Ignasi; Linares, Cristina; Doak, Daniel F.; Ledoux, Jean-Baptiste; Garrabou, Joaquim;doi: 10.5061/dryad.p0b6b
Understanding the role of the environment in shaping the evolution of life histories remains a major challenge in ecology and evolution. We synthesize longevity patterns of marine sessile species and find strong positive relationships between depth and maximum lifespan across multiple sessile marine taxa, including corals, bivalves, sponges and macroalgae. Using long-term demographic data on marine sessile and terrestrial plant species, we show that extreme longevity leads to strongly dampened population dynamics. We also used detailed analyses of Mediterranean red coral, with a maximum lifespan of 532 yr, to explore the life-history patterns of long-lived taxa and the vulnerability to external mortality sources that these characteristics can create. Depth-related environmental gradients – including light, food availability, temperature, and disturbance intensity –drive highly predictable distributions of life histories that, in turn, have predictable ecological consequences for the dynamics of natural populations. C_rubrum_demographySize-based individual demographic data of Mediterranean red coral (Corallium rubrum) populations in the NW Mediterranean Sea.Data_C_rubrum_demography_1.csv
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 5visibility views 5 download downloads 6 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Collection 2018Publisher:Figshare Funded by:FCT | Epidemiology Research Uni..., NIH | PCBs and Otodevelopment i..., NIH | Women's Health and the En... +24 projectsFCT| Epidemiology Research Unit - Institute of Public Health, University of Porto ,NIH| PCBs and Otodevelopment in Eastern Slovakia ,NIH| Women's Health and the Environment over the Entire Lifespan (WHEEL) ,EC| ObesityDevelop ,CIHR ,NIH| Gene-Environment Interactions in an Autism Birth Cohort ,EC| DYNAHEALTH ,EC| EARLYNUTRITION ,AKA| Moisture damaged homes, environmental microbes and development of immune system, allergies and asthma in childhood: a birth-cohort study ,NIH| Common and distinct early environmental influences on cardiometabolic and respiratory health: Mechanisms and methods ,AKA| Prospective longitudinal study of childhood risk factors in the development of obesity ,EC| ENRIECO ,NIH| VULNERABILITY OF THE FETUS/INFANT TO PAH, PM2.5 AND ETS. ,AKA| Recurrent respiratory infections in children: viral-bacterial synergism, environmental factors and genetic susceptibility ,NIH| Early Childhood Development and PCB Exposures in Slovak* ,NIH| ENVIRONMENTAL AGENTS AS MODULATORS OF DISEASE PROCESSES ,NIH| Early vitamin D status and supplement use and later body composition and bone health ,EC| LIFECYCLE ,UKRI| Integrative epidemiology for exploring how women’s reproductive health influences cardiometabolic health. ,EC| HEALS ,NIH| Developmental effects of early-life exposure to airborne PAHs. ,FCT| Pathways from early life to cardiometabolic risk during childhood ,EC| ESCAPE ,EC| DENAMIC ,EC| EMBRYOandLATERHEALTH ,EC| HELIX ,NWO| Blue ActionSantos, Susana; Eekhout, Iris; Voerman, Ellis; Gaillard, Romy; Barros, Henrique; Marie-Aline Charles; Chatzi, Leda; Chevrier, Cécile; Chrousos, George; Corpeleijn, Eva; Costet, Nathalie; Crozier, Sarah; Doyon, Myriam; Eggesbø, Merete; Fantini, Maria; Farchi, Sara; Forastiere, Francesco; Gagliardi, Luigi; Vagelis Georgiu; Godfrey, Keith; Gori, Davide; Grote, Veit; Hanke, Wojciech; Irva Hertz-Picciotto; Heude, Barbara; Marie-France Hivert; Hryhorczuk, Daniel; Rae-Chi Huang; Inskip, Hazel; Jusko, Todd; Karvonen, Anne; Koletzko, Berthold; Küpers, Leanne; Lagström, Hanna; Lawlor, Debbie; Lehmann, Irina; Maria-Jose Lopez-Espinosa; Magnus, Per; Majewska, Renata; Mäkelä, Johanna; Manios, Yannis; McDonald, Sheila; Mommers, Monique; Morgen, Camilla; Moschonis, George; Ľubica Murínová; Newnham, John; Nohr, Ellen; Andersen, Anne-Marie; Oken, Emily; Adriëtte Oostvogels; Pac, Agnieszka; Papadopoulou, Eleni; Pekkanen, Juha; Pizzi, Costanza; Polanska, Kinga; Porta, Daniela; Richiardi, Lorenzo; Rifas-Shiman, Sheryl; Roeleveld, Nel; Santa-Marina, Loreto; Santos, Ana; Smit, Henriette; Sørensen, Thorkild; Standl, Marie; Stanislawski, Maggie; Stoltenberg, Camilla; Thiering, Elisabeth; Thijs, Carel; Maties Torrent; Tough, Suzanne; Trnovec, Tomas; Gelder, Marleen Van; Rossem, Lenie Van; Berg, Andrea Von; Vrijheid, Martine; Vrijkotte, Tanja; Zvinchuk, Oleksandr; Buuren, Stef Van; Jaddoe, Vincent;Abstract Background Gestational weight gain differs according to pre-pregnancy body mass index and is related to the risks of adverse maternal and child health outcomes. Gestational weight gain charts for women in different pre-pregnancy body mass index groups enable identification of women and offspring at risk for adverse health outcomes. We aimed to construct gestational weight gain reference charts for underweight, normal weight, overweight, and grades 1, 2 and 3 obese women and to compare these charts with those obtained in women with uncomplicated term pregnancies. Methods We used individual participant data from 218,216 pregnant women participating in 33 cohorts from Europe, North America, and Oceania. Of these women, 9065 (4.2%), 148,697 (68.1%), 42,678 (19.6%), 13,084 (6.0%), 3597 (1.6%), and 1095 (0.5%) were underweight, normal weight, overweight, and grades 1, 2, and 3 obese women, respectively. A total of 138, 517 women from 26 cohorts had pregnancies with no hypertensive or diabetic disorders and with term deliveries of appropriate for gestational age at birth infants. Gestational weight gain charts for underweight, normal weight, overweight, and grade 1, 2, and 3 obese women were derived by the Box-Cox t method using the generalized additive model for location, scale, and shape. Results We observed that gestational weight gain strongly differed per maternal pre-pregnancy body mass index group. The median (interquartile range) gestational weight gain at 40 weeks was 14.2 kg (11.4–17.4) for underweight women, 14.5 kg (11.5–17.7) for normal weight women, 13.9 kg (10.1–17.9) for overweight women, and 11.2 kg (7.0–15.7), 8.7 kg (4.3–13.4) and 6.3 kg (1.9–11.1) for grades 1, 2, and 3 obese women, respectively. The rate of weight gain was lower in the first half than in the second half of pregnancy. No differences in the patterns of weight gain were observed between cohorts or countries. Similar weight gain patterns were observed in mothers without pregnancy complications. Conclusions Gestational weight gain patterns are strongly related to pre-pregnancy body mass index. The derived charts can be used to assess gestational weight gain in etiological research and as a monitoring tool for weight gain during pregnancy in clinical practice.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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