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- Creator:
- Lumeng, Julie C
- Description:
- Healthy full-term infants were enrolled in a longitudinal study designed to examine the development of infant eating behavior. Infant weight and length was measured, mothers completed questionnaires regarding infant eating behaviors, and infants were weighed and length measured at ages 1, 2, 4, 6 and 10 months. Trajectories of eating behaviors were identified using latent class growth modeling and bivariate analyses examined associations of infant eating behavior trajectory membership with infant and maternal characteristics. Cross-lagged analyses examined associations between BEBQ subscales and infant weight-for-length z-score.
- Keyword:
- infant, eating, weight gain, and feeding
- Citation to related publication:
- Harlan McCaffery, Julie Zaituna, Sophie Busch, Niko Kaciroti, Alison L. Miller, Julie C. Lumeng, Katherine L. Rosenblum, Ashley Gearhardt, Megan H. Pesch, Developmental trajectories of eating behaviors and cross-lagged associations with weight across infancy, Appetite, 2023, 106978
- Discipline:
- Health Sciences
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- Creator:
- Lumeng, Julie C
- Description:
- Infant eating behavior is likely driven not only by hunger and satiety reflective of caloric need, but also by the reward value of food. The reward value of food can be understood in terms of wanting, liking, and salience. Little is understood about infant response to the reward value of food, or its predictors, particularly prenatally. This project sought to understand whether prenatal factors during pregnancy predict infant reward response to food, as measured by questionnaires in early infancy.
- Keyword:
- wanting, liking, salience, infancy, eating, growth, and prenatal
- Discipline:
- Health Sciences
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ABC Baby Study
User Collection- Creator:
- Lumeng, Julie C
- Description:
- The primary goal of this project was to identify domains of infant eating behavior and their trajectories over the first year of life. A convenience sample of 284 mother-infant dyads was recruited and enrolled from communities within a 1-hour driving distance of Ann Arbor, Michigan, via social media; flyers in outpatient pediatric clinics and community settings; and targeted outreach by telephone, email, and mail to pregnant women and mothers of newborn infants receiving care within the University of Michigan health system between October 2015 and February 2019. The planned sample size was based on a priori power calculations anticipating 3-5 eating behavior factors, each with 3 different trajectories, providing 81% power to detect a 10% or more change in the likelihood of exhibiting one of an anticipated 3 trajectory patterns of infant growth; the ultimate sample size of 284 was based on feasibility related to recruitment and retention. , The study included a repeated-measures, within-participant experimental design embedded within a longitudinal observational cohort study. The goal was to examine the development of infant eating behavior longitudinally at ages 0.5, 2, 4, 6, 9 and 12 months based on data collected from questionnaires, eating behavior experiments, and anthropometry via home visits by trained research staff. The study was described to participants as seeking to understand infant eating behavior and interactions between mothers and babies in the first year after birth. Inclusion criteria were gestational age of 37.0 to 42.0 weeks, weight appropriate for gestational age, no significant perinatal or neonatal complications, biological mother was the legal and custodial guardian, and infant’s having had consumed 2 oz or more in 1 feeding from an artificial nipple at least once per week. Exclusion criteria were mother not fluent in English; mother younger than 18 years; infant medical problems or diagnosis affecting current or future eating, growth, or development; or child protective services involvement. Mothers provided written informed consent for themselves and their infants. The study was approved by the University of Michigan institutional review board. To facilitate recruitment, dyads could be enrolled at 1 of 3 age points up to and including age 4 months; data collected at enrollment are referred to as baseline. , and Mothers responded to questionnaires on demographics, psychosocial stress, perinatal history, feeding behaviors and practices, sleep, their own eating behaviors, infant temperament, their own and the infant’s diet, and infant eating behaviors. Maternal and infant anthropometry was measured by trained research assistants. Mother-infant dyads participated in protocols designed to measure infant response to sucrose, infant ability to delay gratification, infant response to a challenging feeding, the relative reinforcing value of food, eating in the absence of hunger, capacity for regulation of energy intake in response to more frequent feedings and in response to increased caloric density, and response to novel and familiar foods. Maternal feeding behaviors were also coded from video. Biological samples included infant stool and maternal breastmilk.
- Keyword:
- infant, eating, weight gain, and sucking
- Discipline:
- Health Sciences
4Works -
- Creator:
- Dulka, Eden A
- Description:
- This data is a subset of that originally produced as part of an effort to characterize GnRH neuron activity during prepubertal development in control and PNA mice and investigate the potential influences of sex and PNA treatment on this process (1). It was later used in (2) to further investigate the firing patterns of GnRH neurons in these categories of mice and determine how these patterns might differ based on age and treatment condition. The data files can be opened and examined using Wavemetric's Igor Pro software. Code used to further examine and visualize the data can be found at https://gitlab.com/um-mip/mc-project-code. This research was supported by National Institute of Health/Eunice Kennedy Shriver National Institute of Child Health and Human Development R01 HD34860 and P50 HD28934. (1) Dulka EA, Moenter SM. Prepubertal development of gonadotropin-releasing hormone (GnRH) neuron activity is altered by sex, age and prenatal androgen exposure. Endocrinology 2017; 158:3941-3953 (2) Penix JJ, DeFazio RA, Dulka EA, Schnell S, Moenter SM. Firing patterns of gonadotropin-releasing hormone (GnRH) neurons are sculpted by their biology. Pending.
- Keyword:
- action potential, Monte Carlo, polycystic ovary syndrome, puberty, and androgen
- Citation to related publication:
- Dulka EA, Moenter SM. Prepubertal development of gonadotropin-releasing hormone neuron activity is altered by sex, age and prenatal androgen exposure. Endocrinology 2017; 158:3943-3953. https://dx.doi.org/10.1210%2Fen.2017-00768 and Penix JJ, DeFazio RA, Dulka EA, Schnell S, Moenter SM. Firing patterns of gonadotropin-releasing hormone (GnRH) neurons are sculpted by their biology. Pending.
- Discipline:
- Health Sciences
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- Creator:
- Hoffmann, Alex
- Description:
- This data contains 3 magnetometer signals of 4 noise sources. It was created to test a Underdetermined Blind Source Separation algorithm for magnetic signals.
- Keyword:
- Signal Processing, Magnetic Field, Underdetermined Blind Source Separation , UBSS, and BSS
- Discipline:
- Engineering
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- Creator:
- Haydar, Bishr and MacEachern, Mark
- Description:
- The research adheres to PRISMA-HARM recommendations for systematic reviews. The reproducible search strategies for all databases, the citation export files from all databases, and the eligibility screening decisions are included in the dataset.
- Keyword:
- Systematic review, Patient transportation, intrahospital, intra-hospital, and Critically ill patients
- Citation to related publication:
- Haydar B, Baetzel A, Elliott A, MacEachern M, Kamal A, Christensen R. Adverse Events During Intrahospital Transport of Critically Ill Children: A Systematic Review. Anesth Analg. 2019. http://dx.doi.org/doi:10.1213/ANE.0000000000004585
- Discipline:
- Health Sciences
-
- Creator:
- Kort, EA, Gvakharia, A, Smith, ML, and Conley, S
- Description:
- Data is collected from research flights based in West Memphis, Arkansas, covering the Mississippi River Valley. The data file contains all merged flight data from each flight day.
- Keyword:
- Greenhouse gas
- Citation to related publication:
- Gvakharia, A., Kort, E.A., Smith, M.L., Conley, S., 2018. Testing and evaluation of a new airborne system for continuous N2O, CO2, CO, and H2O measurements: the Frequent Calibration High-performance Airborne Observation System (FCHAOS). Atmospheric Measurement Techniques; Katlenburg-Lindau 11, 6059. https://doi.org/10.5194/amt-11-6059-2018
- Discipline:
- Science
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- Creator:
- Kort, Eric A., Plant, Genevieve, Smith, Mackenzie L., Brandt, Adam R., Chen, Yuanlei, Gorchov Negron, Alan M., Schwietzke, Stefan, and Zavala-Araiza, Daniel
- Description:
- As part of the Flaring & Fossil Fuels: Uncovering Emissions & Losses (F3UEL) project, in 2020 the aircraft measurement platform sampled offshore oil & gas facilities in the Gulf of Mexico to quantify facility-level emissions using the approach detailed in Conley et al. (2017). Onshore, the aircraft sampled downwind of flare combustion plumes in the Permian and Eagle Ford regions of Texas. Vertical profiles were conducted on each flight to capture the vertical structure and mixing depths of the atmosphere. The data file contains all merged flight data from each flight day. and Reference: Conley, S., Faloona, I., Mehrotra, S., Suard, M., Lenschow, D. H., Sweeney, C., Herndon, S., Schwietzke, S., Pétron, G., Pifer, J., Kort, E. A., and Schnell, R.: Application of Gauss’s theorem to quantify localized surface emissions from airborne measurements of wind and trace gases, Atmos. Meas. Tech., 10, 3345 – 3358, 2017.
- Keyword:
- Offshore Oil & Gas, Flaring, Methane, and Nitrogen Oxides
- Discipline:
- Science
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- Creator:
- Kort, Eric A., Plant, Genevieve, Brandt, Adam R., Chen, Yuanlei, Gorchov Negron, Alan M., Schwietzke, Stefan, Smith, Mackenzie L., and Zavala-Araiza, Daniel
- Description:
- As part of the Flaring & Fossil Fuels: Uncovering Emissions & Losses (F3UEL) project, in 2021 the aircraft measurement platform sampled offshore oil & gas facilities in Alaska and California to quantify facility-level emissions using the approach detailed in Conley et al. (2017). Onshore, the aircraft sampled downwind of flare combustion plumes in the Bakken region of North Dakota. Vertical profiles were conducted on each flight to capture the vertical structure and mixing depths of the atmosphere. The data file contains all merged flight data from each flight day. and Reference: Conley, S., Faloona, I., Mehrotra, S., Suard, M., Lenschow, D. H., Sweeney, C., Herndon, S., Schwietzke, S., Pétron, G., Pifer, J., Kort, E. A., and Schnell, R.: Application of Gauss’s theorem to quantify localized surface emissions from airborne measurements of wind and trace gases, Atmos. Meas. Tech., 10, 3345 – 3358, 2017.
- Keyword:
- Offshore Oil & Gas, Flaring, Methane, and Nitrogen Dioxides
- Discipline:
- Science
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- Creator:
- Kort, Eric A., Plant, Genevieve, and Dacic, Natasha
- Description:
- As part of the Measurement of Agriculture Illuminating farm-Zone Emissions of N2O (MAIZE) project, in 2021 the aircraft platform sampled the agriculture regions of Nebraska and Iowa. Vertical profiles were conducted on each flight to capture the vertical structure and mixing depths of the atmosphere. The data files contains the merged data for each individual file day.
- Keyword:
- Greenhouse Gas, Agriculture , and Nitrous Oxide
- Citation to related publication:
- Gvakharia A, Kort EA, Smith M, Conley S, Testing and evaluation of a new airborne system for continuous N2O, CO2, CO, and H2O measurements: the Frequent Calibration High-performance Airborne Observation System (FCHAOS), Atmos. Meas. Tech. 11, 6059-6074, https://doi.org/10.5194/amt-11-6059-2018, 2018, Conley S, Faloona I.C, Lenschow D.H, Karion A, Sweeney S, (2014) A low-cost system for measuring horizontal winds from single-engine aircraft, Journal of Atmospheric and Oceanic Technology, 31(6), 1312-1320, https://doi.org/10.1175/JTECH-D-13-00143.1, Airborne measurements reveal high spatiotemporal variation and the heavy-tail characteristic of nitrous oxide emissions in Iowa" by Natasha Dacic, Genevieve Plant, and Eric A Kort. Journal of Geophysical Research: Atmospheres. Submitted., and 2022 dataset: Kort, E. A., Plant, G., Dacic, N. (2024). Aircraft Data (2022) for Measurement of Agriculture Illuminating farm-Zone Emissions of N2O (MAIZE) [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/tmfd-nw87
- Discipline:
- Science