Search

Your search keyword '"Parmar, Priyanka"' showing total 3 results
Start Over Author "Parmar, Priyanka" Topic non-communicable diseases
3 results on '"Parmar, Priyanka"'

1. Identifying causative mechanisms linking early-life stress to psycho-cardio-metabolic multi-morbidity: The EarlyCause project.

Author

Mariani, Nicole, Borsini, Alessandra, Cecil, Charlotte A. M., Felix, Janine F., Sebert, Sylvain, Cattaneo, Annamaria, Walton, Esther, Milaneschi, Yuri, Cochrane, Guy, Amid, Clara, Rajan, Jeena, Giacobbe, Juliette, Sanz, Yolanda, Agustí, Ana, Sorg, Tania, Herault, Yann, Miettunen, Jouko, Parmar, Priyanka, Cattane, Nadia, and Jaddoe, Vincent

Subjects
COGNITIVE development, NEUROENDOCRINE system, MENTAL illness, CHILDBIRTH, NON-communicable diseases
Abstract

Introduction: Depression, cardiovascular diseases and diabetes are among the major non-communicable diseases, leading to significant disability and mortality worldwide. These diseases may share environmental and genetic determinants associated with multimorbid patterns. Stressful early-life events are among the primary factors associated with the development of mental and physical diseases. However, possible causative mechanisms linking early life stress (ELS) with psycho-cardio-metabolic (PCM) multi-morbidity are not well understood. This prevents a full understanding of causal pathways towards the shared risk of these diseases and the development of coordinated preventive and therapeutic interventions. Methods and analysis: This paper describes the study protocol for EarlyCause, a large-scale and inter-disciplinary research project funded by the European Union's Horizon 2020 research and innovation programme. The project takes advantage of human longitudinal birth cohort data, animal studies and cellular models to test the hypothesis of shared mechanisms and molecular pathways by which ELS shapes an individual's physical and mental health in adulthood. The study will research in detail how ELS converts into biological signals embedded simultaneously or sequentially in the brain, the cardiovascular and metabolic systems. The research will mainly focus on four biological processes including possible alterations of the epigenome, neuroendocrine system, inflammatome, and the gut microbiome. Life-course models will integrate the role of modifying factors as sex, socioeconomics, and lifestyle with the goal to better identify groups at risk as well as inform promising strategies to reverse the possible mechanisms and/or reduce the impact of ELS on multi-morbidity development in high-risk individuals. These strategies will help better manage the impact of multi-morbidity on human health and the associated risk. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

2. Socioeconomic inequalities in clustering of health-compromising behaviours among Indian adolescents.

Author

Mathur, Manu, Singh, Ankur, Mishra, Vijay, Parmar, Priyanka, Nagrath, Deepti, Watt, Richard, and Tsakos, Georgios

Subjects
CLUSTER analysis (Statistics), ALCOHOL drinking, FRUIT, HEALTH behavior, INGESTION, QUESTIONNAIRES, RISK assessment, RISK-taking behavior, SMOKING, TEENAGERS' conduct of life, VEGETABLES, MULTIPLE regression analysis, SOCIOECONOMIC factors, EDUCATIONAL attainment, CROSS-sectional method, PHYSICAL activity, NON-communicable diseases, DISEASE risk factors
Abstract

Background: The simultaneous occurrence of health-compromising behaviors can accentuate the risk of noncommunicable diseases (NCDs). This study aimed to examine the existence and patterns of clustering of four NCD risk behaviors among adolescents and its association with social position. In addition, socioeconomic inequalities in the occurrence of clustering of NCD risk behaviors were also assessed. Methods: A cross-sectional study was undertaken among 1218 adolescents (14–19 years old) in the city of New Delhi, India. An interviewer-administered questionnaire was used to assess health-compromising behaviors (tobacco and alcohol use, fruit/vegetable intake, and physical inactivity). Clustering was assessed using pairwise correlations, counts of clustering of health-compromising behaviors, comparison of observed/expected ratios, and hierarchical agglomerative cluster analysis. Multivariable logistic regressions were used to test the associations of clustering with social position (education and wealth). The relative and slope indices of inequalities in the presence of clustering of behaviors according to education and wealth were estimated. Results: Three major clusters of health behaviors emerged: (a) physical inactivity + lower fruit and vegetable intake, (b) tobacco + alcohol use, and (c) lower fruit and vegetable intake + tobacco + alcohol use. Pronounced clustering of health-compromising behaviors was observed with lower educational attainment and wealth. Conclusion: The presence of clustering of health-compromising behaviors was considerably higher among adolescents with lower educational attainment and wealth. The area of residence has an important influence on socioeconomic inequalities in clustering of NCD risk factors. [ABSTRACT FROM AUTHOR]

Published
2020
Full Text
View/download PDF

3. The LifeCycle Project-EU Child Cohort Network: a federated analysis infrastructure and harmonized data of more than 250,000 children and parents

Author

Jaddoe, Vincent W. V., Felix, Janine F., Andersen, Anne-Marie Nybo, Charles, Marie-Aline, Chatzi, Leda, Corpeleijn, Eva, Donner, Nina, Elhakeem, Ahmed, Eriksson, Johan G., Foong, Rachel, Grote, Veit, Haakma, Sido, Harris, Jennifer R., Heude, Barbara, Huang, Rae-Chi, Inskip, Hazel, Järvelin, Marjo-Riitta, Koletzko, Berthold, Lawlor, Deborah A., Lindeboom, Maarten, McEachan, Rosemary R. C., Mikkola, Tuija M., Nader, Johanna L. T., de Moira, Angela Pinot, Pizzi, Costanza, Richiardi, Lorenzo, Sebert, Sylvain, Schwalber, Ameli, Sunyer, Jordi, Swertz, Morris A., Vafeiadi, Marina, Vrijheid, Martine, Wright, John, Duijts, Liesbeth, El Marroun, Hanan, Gaillard, Romy, Santos, Susana, Geurtsen, Madelon L., Kooijman, Marjolein N., Mensink-Bout, Sara M., Vehmeijer, Florianne O. L., Voerman, Ellis, Nieuwenhuijsen, Mark, Basagaña, Xavier, Bustamante, Mariona, Casas, Maribel, de Castro, Montserrat, Cirugeda, Lourdes E., Fernández-Barrés, Sílvia, Fossati, Serena, Garcia, Raquel, Júlvez, Jordi, Lertxundi, Aitana C., Lertxundi, Nerea, Llop, Sabrina, López-Vicente, Mònica, Lopez-Espinosa, Maria-Jose B., Maitre, Lea, Murcia, Mario, Lea, Jose, Urquiza, H., Warembourg, Charline, Zugna, Daniela, Popovic, Maja, Isaevska, Elena, Maule, Milena, Moccia, Chiara, Moirano, Giovenale, Rasella, Davide, Hanson, Mark A., Inskip, Hazel M., Jacob, Chandni Maria, Salika, Theodosia, Cadman, Tim, Strandberg-Larsen, Katrine M., Pedersen, Marie, Vinther, Johan L., Wilson, Paul, Mason, Dan, Yang, Tiffany C., Cardol, Marloes, van Enckevoort, Esther, Hyde, Eleanor, Scholtens, Salome, Snieder, Harold, Thio, Chris H. L., Chatzi, Lida, Margetaki, Katerina C. A., Roumeliotaki, Theano, Nader, Johanna L., Knudsen, Gun Peggy, Magnus, Per, Panico, Lidia, Ichou, Mathieu, de Lauzon-Guillain, Blandine, Dargent-Molina, Patricia, Cornet, Maxime, Florian, Sandra M., Harrar, Faryal, Lepeule, Johanna, Lioret, Sandrine, Melchior, Maria, Plancoulaine, Sabine, Männikkö, Minna, Parmar, Priyanka, Rautio, Nina, Ronkainen, Justiina, Tolvanen, Mimmi, Mikkola, Tuija M, Aumüller, Nicole, Closa-Monasterolo, Ricardo, Escribano, Joaquin, Ferré, Natalia, Gruszfeld, Dariusz, Gürlich, Kathrin, Langhendries, Jean-Paul, Luque, Veronica, Riva, Enrica, Schwarzfischer, Phillipp, Totzauer, Martina, Verduci, Elvira, Xhonneux, Annick, Zaragoza-Jordana, Marta, Schwalber, Amelie, Foong, Rachel E., Hall, Graham L., Lin, Ashleigh, Carson, Jennie, Melton, Phillip, Rauschert, Sebastian, UNIVERSITY OF OULU, Economics, Tinbergen Institute, Clinicum, Research Programs Unit, Johan Eriksson / Principal Investigator, Department of General Practice and Primary Health Care, University of Helsinki, Helsinki University Hospital Area, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Hospital Universitari de Sant Joan de Reus, Institut d’Investigació Sanitària Pere Virgili, Ciberdem, BIODonostia Research Institute, University of Turin, University of Southampton, University of Bristol [Bristol], IT University of Copenhagen, Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Bradford Teaching Hospitals NHS Foundation Trust [Bradford, Royaume-Uni], University of Manchester [Manchester], University of Groningen [Groningen], University of Crete [Heraklion] (UOC), University of Southern California (USC), Norwegian Institute of Public Health [Oslo] (NIPH), Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana [Espagne] (FISABIO), IMIM-Hospital del Mar, Generalitat de Catalunya, Etude longitudinale française depuis l'enfance (UMS : Ined-Inserm-EFS) (ELFE), Institut national d'études démographiques (INED)-EFS-Institut National de la Santé et de la Recherche Médicale (INSERM), Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble) (IAB), Centre Hospitalier Universitaire [Grenoble] (CHU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Etablissement français du sang - Auvergne-Rhône-Alpes (EFS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Global - Institute For Global Health [Barcelona] (ISGlobal), Universitat Pompeu Fabra [Barcelona] (UPF), University of the Basque Country [Bizkaia] (UPV/EHU), Universitat de València (UV), Conselleria de Sanitat, Laboratorio de Salud Pública de Valencia, European Project: 733206,H2020,H2020-SC1-2016-RTD,LIFECYCLE(2017), Università degli studi di Torino = University of Turin (UNITO), IT University of Copenhagen (ITU), Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK (BIHR), University of the Basque Country/Euskal Herriko Unibertsitatea (UPV/EHU), Erasmus MC other, Pediatrics, Lifestyle Medicine (LM), Reproductive Origins of Adult Health and Disease (ROAHD), and Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI)

Subjects
Male, Parents, Databases, Factual, Epidemiology, Ethnic group, BLOOD-PRESSURE, consortium, 030204 cardiovascular system & hematology, Cohort Studies, 0302 clinical medicine, Pregnancy, Risk Factors, 030212 general & internal medicine, Marketing, Child, DNA METHYLATION, Public, Environmental & Occupational Health, life course, Birth cohorts, birth cohorts, SDG 10 - Reduced Inequalities, ASSOCIATION, non-communicable diseases, 3142 Public health care science, environmental and occupational health, 3. Good health, Exposome, PREGNANCY, Child, Preschool, Cohort, Life course approach, Generation R, Female, Life Sciences & Biomedicine, Environmental Health, EARLY NUTRITION, medicine.medical_specialty, Adolescent, LifeCycle Project Group, exposome, FOLIC-ACID SUPPLEMENTS, PROFILE, 1117 Public Health and Health Services, New Consortium, 03 medical and health sciences, SDG 3 - Good Health and Well-being, medicine, Humans, Consortium, Life course, Non-communicable diseases, European Union, Noncommunicable Diseases, Window of opportunity, Science & Technology, business.industry, Public health, Stressor, Infant, Environmental Exposure, COHORTS, LIFE_COURSE, BIRTH-WEIGHT, Socioeconomic Factors, GENERATION R, RISK-FACTORS, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, DATA_ANALYSIS, business
Abstract

Early life is an important window of opportunity to improve health across the full lifecycle. An accumulating body of evidence suggests that exposure to adverse stressors during early life leads to developmental adaptations, which subsequently affect disease risk in later life. Also, geographical, socio-economic, and ethnic differences are related to health inequalities from early life onwards. To address these important public health challenges, many European pregnancy and childhood cohorts have been established over the last 30 years. The enormous wealth of data of these cohorts has led to important new biological insights and important impact for health from early life onwards. The impact of these cohorts and their data could be further increased by combining data from different cohorts. Combining data will lead to the possibility of identifying smaller effect estimates, and the opportunity to better identify risk groups and risk factors leading to disease across the lifecycle across countries. Also, it enables research on better causal understanding and modelling of life course health trajectories. The EU Child Cohort Network, established by the Horizon2020-funded LifeCycle Project, brings together nineteen pregnancy and childhood cohorts, together including more than 250,000 children and their parents. A large set of variables has been harmonised and standardized across these cohorts. The harmonized data are kept within each institution and can be accessed by external researchers through a shared federated data analysis platform using the R-based platform DataSHIELD, which takes relevant national and international data regulations into account. The EU Child Cohort Network has an open character. All protocols for data harmonization and setting up the data analysis platform are available online. The EU Child Cohort Network creates great opportunities for researchers to use data from different cohorts, during and beyond the LifeCycle Project duration. It also provides a novel model for collaborative research in large research infrastructures with individual-level data. The LifeCycle Project will translate results from research using the EU Child Cohort Network into recommendations for targeted prevention strategies to improve health trajectories for current and future generations by optimizing their earliest phases of life. The LifeCycle project received funding from the European Union’s Horizon 2020 research and innovation programme (Grant Agreement No. 733206 LifeCycle). All study specific acknowledgements and funding are presented in the supplementary materials. This manuscript reflects only the author's view and the Commission is not responsible for any use that may be made of the information it contains

Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results