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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:
- Diaz-Espinosa, Jennifer, Stringer, Kathleen, and Rosania, Gus
- Description:
- These data were produced from a study that assessed mitochondrial metabolic function by measuring two metabolites, l-carnitine and acetylcarnitine, to determine their effectiveness as candidate clinical biomarkers for age-related, drug-induced alterations in mitochondrial metabolism. To study age and medication-related changes in mitochondrial metabolism, we administered the FDA-approved mitochondriotropic drug, clofazimine (CFZ), or vehicle for to young and old mice. These findings are described in our manuscript: Clofazimine-Mediated, Age-Related Changes in Skeletal Muscle Mitochondrial Metabolites. Data reported was supported by funding from the National Institute of General Medical Sciences (NIGMS) at the National Institutes of Health (NIH) under award numbers R01GM127787 (GRR), R35GM136312 (KAS), P30AR069620 (K Jepsen), and T32GM140223 (L Isom).
- Keyword:
- adverse drug reactions, mitochondrial metabolism, l-carnitine, acetylcarnitine, and cardiac muscle
- Citation to related publication:
- Metabolites 2023
- Discipline:
- Health Sciences
-
- Creator:
- Chenevert, Thomas L., Malyarenko, Dariya, Amouzandeh, Ghoncheh, Pickup, Stephen, Zhou, Rong, Manning, Henry Charles, Gamon, Seth T., Shoghi, Kooresh I., Quirk, James D., Sriram, Renuka, Larson, Peder, Lewis, Mickael T., Pautler, Robia G., Kinahan, Paul E., and Muzi, Mark
- Description:
- Goals of this work quantify repeatability and reproducibility across multiple NIH/NCI Co-Clinical Imaging Research Resources Program (CIRP) preclinical MRI systems in performing diffusion measurement using a standardized acquisition protocol on a shared phantom containing temperature-controlled medium of known diffusivity. To achieve these goals, the CIRP Image Acquisition Data Processing (IADP) working group (WG) performed a round-robin study of an ice water-based DWI phantom using a detailed phantom preparation procedure and standardized DWI acquisition protocol, with both site- and core-lab generated ADC measurements derived from shared datasets.
- Keyword:
- diffusion MRI, pre-clinical MRI, apparent diffusion coefficient (ADC), repeatability, reproducibility, and accuracy
- Citation to related publication:
- Tomography 2023, 9, 375–386. https://doi.org/10.3390/tomography9010030
- Discipline:
- Health Sciences
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- Creator:
- Samuel, Sara M, Wilson, Diane L, and Fleming, Emily K
- Description:
- The International Committee of Medical Journal Editors (ICMJE) requires researchers to post individual participant data (IPD) plans for interventional clinical trials with registration in order to be eligible for publication in its member journals. This study looked at how researchers interpret the ICMJE requirements and the related prompts for information used by ClinicalTrials.gov. This data consists of the analyzed contents of the IPD plans that researchers at the University of Michigan (U-M) submitted with trial registrations for the first 27 months that the 2019 requirement was in effect.
- Keyword:
- research data sharing, research data policy, research data, clinical trials, ClinicalTrials.gov, individual participant data, IPD, data sharing plan, and compliance
- Citation to related publication:
- Samuel, S. M. & Wilson, D. L. & Fleming, E., (2023) “Evaluating individual participant data plans for ICMJE compliance: A case study at University of Michigan”, Journal of the Society for Clinical Data Management 3(4). doi: https://doi.org/10.47912/jscdm.257
- Discipline:
- Health Sciences, Social Sciences, and General Information Sources
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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 infant sucking behavior was quantified using the NFANT device during a typical feeding. The predictive value of the NFANT-generated sucking metrics for infant weight gain was evaluated.
- Keyword:
- infant, eating, weight gain, and sucking
- Citation to related publication:
- Feldman, Keith, Katharine Asta, Ashley N. Gearhardt, Julie M. Sturza, Danielle Appugliese, Alison L. Miller, Katherine Rosenblum, Kai Ling Kong, Amanda K. Crandall, and Julie C. Lumeng. "Characterization of a Vigorous sucking style in early infancy and its predictive value for weight gain and eating behaviors at 12 months." Appetite (2023): 106525.
- Discipline:
- Health Sciences
-
- Creator:
- Bellile, Emily L, Taylor, Jeremy MG, and Wolf, Gregory T
- Description:
- The University of Michigan’s Head and Neck Specialized Program of Research Excellence (SPORE) included an epidemiology project that approached every previously untreated adult head and neck squamous carcinoma (HNSCC) patient evaluated in the multidisciplinary Head and Neck Oncology Program of the University of Michigan (UM; Ann Arbor, MI) Comprehensive Cancer Center for participation in our longitudinal epidemiology study. This analytic dataset includes the most commonly requested covariates and outcome variables for survival analysis of this cohort of HNSCC patients. Data cleaning and creation of this analysis dataset was performed with SAS software v 9.3 (Carey,NC) by a biostatistician supporting multiple projects in the University of Michigan’s Head and Neck Specialized Program of Research Excellence (SPORE) and is available in RedCap for UM investigators to join with discipline specific data collected on the same cohort through a de-identified ID link.
- Keyword:
- Head and Neck Cancer, HNSCC, Squamous Cell Cancer, Epidemiology, Head and Neck Specialized Program of Research Excellence (SPORE). , Cancer, Prognosis, and Survival Analysis
- Citation to related publication:
- Cigarette use, comorbidities, and prognosis in a prospective head and neck squamous cell carcinoma population. Peterson LA, Bellile EL, Wolf GT, Virani S, Shuman AG, Taylor JM, Rozek LS; University of Michigan Head and Neck Specialized Program of Research Excellence Program. Head Neck. 2016 Dec;38(12):1810-1820. doi: 10.1002/hed.24515. Epub 2016 Jul 19. PMID: 27432208. , Development and Assessment of a Model for Predicting Individualized Outcomes in Patients With Oropharyngeal Cancer. Beesley LJ, Shuman AG, Mierzwa ML, Bellile EL, Rosen BS, Casper KA, Ibrahim M, Dermody SM, Wolf GT, Chinn SB, Spector ME, Baatenburg de Jong RJ, Dronkers EAC, Taylor JMG. JAMA Netw Open. 2021 Aug 2;4(8):e2120055. doi: 10.1001/jamanetworkopen.2021.20055. PMID: 34369988., Amlani, L; Bellile, E; Spector, M; Smith, J; Brenner, C; Rozek, L; Nguyen, A; Zarins, K; Thomas, D; McHugh, J; Taylor, J; Wolf, GT. Expression of p53 and prognosis in patients with head and neck squamous cell carcinoma (HNSCC); Int J Cancer Clin Res 2019, 6:122. DOI: 10.23937/2378-3419/1410122., and Spector ME, Bellile E, Amlani L, Zarins K, Smith J, Brenner JC, Rozek L, Nguyen A, Thomas D, McHugh JB, Taylor JMG, Wolf GT; University of Michigan Head and Neck SPORE Program. Prognostic Value of Tumor-Infiltrating Lymphocytes in Head and Neck Squamous Cell Carcinoma. JAMA Otolaryngol Head Neck Surg. 2019 Nov 1;145(11):1012-1019. doi: 10.1001/jamaoto.2019.2427. PMID: 31486841; PMCID: PMC6735419.
- Discipline:
- Science and Health Sciences
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- Creator:
- Raghani, Ravi M, Urie, Russell R, and Shea, Lonnie D
- Description:
- The IN were sampled during and after ICB and sequenced to identify gene expression signatures that correlated with sensitivity or resistance. We also analyzed gene expression at the IN prior to ICB treatment to identify markers predicting therapeutic response. Longitudinally interrogating an IN, to monitor changes associated with ICB response, presents a new opportunity to personalize care and investigate mechanisms underlying treatment resistance.
- Keyword:
- Immunotherapy resistance, Biomaterials, Metastasis, Checkpoint blockade, and Therapy monitoring
- Discipline:
- Engineering and Health Sciences
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- Creator:
- Pedde, Meredith
- Description:
- In this study, we took advantage of the randomized allocation of the US EPA's funding for school bus replacements and retrofits to causally assess the impacts of upgrading buses on student attendance through the EPA’s national School Bus Rebate Program. Specifically, we used classical intent-to-treat analyses for randomized controlled trials to compare the change in school district level attendance rates after vs before the 2012 through 2017 lotteries by funding selection status . We used overall district attendance rates since rates were not available for only school-bus riders.
- Keyword:
- School Bus Emissions, Diesel Air Pollution, and School Attendance
- Citation to related publication:
- Pedde, M., Szpiro, A., Hirth, R. et al. Randomized design evidence of the attendance benefits of the EPA School Bus Rebate Program. Nat Sustain (2023). https://doi.org/10.1038/s41893-023-01088-7
- Discipline:
- Health Sciences
-
- Creator:
- George De la Rosa, Mery Vet, Patel, Dipali, McCann, Marc R., Stringer, Kathleen A., and Rosania, Gus R.
- Description:
- These data were produced from a study that employed a database strategy to identify candidate mitochondrial metabolites that could be clinically useful to identify individuals at increased risk of mitochondrial-related ADRs. The main candidate metabolite identified by the database strategy was evaluated using a mouse model of mitochondrial drug toxicity. These findings are described in our manuscript: Database Screening as a Strategy to Identify Endogenous Candidate Metabolites to Probe and Assess Mitochondrial Drug Toxicity. Data reported was supported by funding from the National Institute of General Medical Sciences (NIGMS) at the National Institutes of Health (NIH) under award numbers R01GM127787 (GRR) & R35GM136312 (KAS).
- Keyword:
- mitochondrial-realted metabolites, adverse drug reactions, and mitochondrial drug toxicity
- Discipline:
- Health Sciences
-
- Creator:
- Reynolds, Mack B., Hong, Hanna S., Zhang, Li, Lyssiotis, Costas A., and O'Riordan, Mary X.
- Description:
- Untargeted lipidomics (Data S1) and targeted metabolomics (Data S2) analysis from in vitro culture of a murine macrophage cell line expressing shRNA targeted to Cardiolipin synthase (CRLS1), referred to as CRLS1 knockdown (KD), or a paired non-target shRNA-expressing (NT-Control). CRLS1 KD and NT-Control macrophages were either directly analyzed (untargeted lipidomics) or stimulated with lipopolysaccharide for a variety of timepoints and then analyzed (targeted metabolomics). Datasets are available as .csv files.
- Keyword:
- Lipidomics, Metabolomics, Cardiolipin, Macrophage, CRLS1, lipopolysaccharide, and LPS
- Citation to related publication:
- Reynolds M.B. et al. (2023). Cardiolipin coordinates inflammatory metabolic reprogramming through regulation of Complex II disassembly and degradation. Science Advances, 9(5). DOI: 10.1126/sciadv.ade8701
- Discipline:
- Health Sciences
-
- Creator:
- Szuromi, Matthew P. and Stacey, William C.
- Description:
- The data and scripts are meant to show how burster dynamics determine response to a single biphasic stimulus. The files include data which show trends in the propensity of termination for different burster types and the MATLAB scripts used to generate this data. The MATLAB scripts also allow the user to generate their own data sets for alternative bursting paths and stimulus parameter combinations. Furthermore, they allow the user to visually examine the effects of single stimuli in the voltage timeseries and in state space. How the user can access these features of the script is described in the file "ReadMe.pdf."
- Keyword:
- Epilepsy, Stimulation, Modelling, Dynamics, Seizure, and Dynamotype
- Citation to related publication:
- (PROVISIONAL) Optimization of Ictal Aborting Stimulation Using the Dynamotype Taxonomy
- Discipline:
- Health Sciences, Engineering, and Science
-
- Creator:
- Lin, Jack and Stacey, William C.
- Description:
- The characterization of HFO networks through functional connectivity analysis and network centrality. Details of the code repository can be found in the README.txt file.
- Keyword:
- Epilepsy, High Frequency Oscillation, HFO, Network, and EEG
- Citation to related publication:
- Pending
- Discipline:
- Health Sciences
-
- Creator:
- Walker, Logan A, Li, Ye, McGlothlin, Maggie, and Cai, Dawen
- Description:
- These are datasets released from our manuscript "A Comparison of Lossless Compression Methods in Microscopy Data Storage Applications". Included in this data release are: `noise16.tif`: a file containing background noise collected from a 1000-frame acquisition of a ORCA-Fusion camera; `noise8.tif`: a file containing the 16-bit data collective above converted into a 8-bit form; `brainbow.tif`: This is a mouse Brainbow image originally published and described in Roossien, et al. Bioinformatics 2019; `bead.tif`: This is a 3D image of 100nm Invitrogen TetraSpeck fluorescent microspheres imaged in a blue channel using a custom microscope; `fly.tif`: This is a 3D image of a fly Bitbow brain collected as described in Li, et al. Front. Neural Circuits 2021; and `neurite.tif`: This is a 3D image of DiD-labeled mouse V1 tissue, collected using a custom microscope.
- Keyword:
- neuroscience, microscopy, and Bitbow
- Discipline:
- Health Sciences
-
Real-time, volumetric imaging of radiation dose delivery deep into the liver during cancer treatment
- Creator:
- Wei Zhang
- Description:
- Ionizing radiation acoustic imaging (iRAI) allows online monitoring of radiation’s interactions with tissues during radiation therapy, providing real-time, adaptive feedback for cancer treatments. Using the data set presented here, this study demonstrated iRAI can image the temporal dose accumulation of a radiaiton treatment plan. Clincial standard treatment plan with both rabbit and patient in vivo were first real-time volumetric visulized by iRAI. This data set is the rawdata for our paper published in Nature Biotechnology entitled "Real-time, volumetric imaging of radiation dose delivery deep into the liver during cancer treatment ".
- Discipline:
- Health Sciences
-
- Creator:
- Hero, Alfred O, Zhai, Yaya, Burke, Thomas, Doraiswamy, Murali, Ginsburg, Geoffrey S, Henao, Ricardo, Turner, Ronald B, and Woods, Christopher W
- Description:
- The data deposited here is as follows: The clinical shedding/symptom data, RNAseq, steroid, and wearable E4 data was partially presented in publications [1]-[3] and the cognitive lumos and VAFS data is presented in the paper [4], which is under review and embargoed. The data files are: subject.json, sample.json, and genematrix_TPM.csv. In addition, a copy of the blank consent form used to enroll volunteers in the study is included (17964_Adult Consent_2015Mar17-Mod 1_clean.pdf)., Clinical symptom and viral shedding data (in subject.json): reports each subject's accumulated and maximum self-reported symptom score (modified Jackson score) and shedding titrations from nasal-pharyngeal washes after inoculation. , RNAseq data (genematrix_TMP.csv): Whole blood was collected in PAXgene™ Blood RNA tubes (PreAnalytiX), and total RNA extracted using the PAXgene™ Blood miRNA Kit (QIAGEN) using the manufacturer’s recommended protocol. RNA quantity and quality were assessed using Nanodrop 2000 spectrophotometer (Thermo-Fisher) and Bioanalyzer 2100 with RNA 6000 Nano Chips (Agilent). RNA sequencing libraries were prepared using Illumina TruSeq mRNA Library Kit with RiboZero Globin depletion, and sequenced on an Illumina NextSeq sequencer with 50bp paired-end reads (target 40M reads per sample). After demultiplexing to FASTQ paired-end read counts files, the 396 samples were TPM transformed using HISAT2 software with the reference genome Homo_sapiens.GRCh38.84. Each sample corresponds to one of the 18 subjects at one of 22 time points. One of these samples was of insufficient quality to be mapped to read counts. In addition to the TPM normalized RNAseq data contained in this repository, the raw FASTQ data for the 395 samples are deposited in the GEO repository ( https://www.ncbi.nlm.nih.gov/geo), Accession # GSE215087. , Cognitive data (sample.json): Outcomes from a NeuroCognitive Performance Test (NCPT) that was taken approximately 3 time daily by all volunteers. The NCPT is a repeatable, web-based, computerized, cognitive assessment platform designed to measure subtle changes in performance across multiple cognitive domains. Subject scores along 18 cognitive variables data were collected at approximated 22 time points during the challenge study. The data structure sample.json contains the raw cognitive data and the extracted 18 cognitive scores over time for each subject. , The Visual Analog Fatigue Scale (sample.json): the VAFS is a measure of cognitive fatigue that was measured approximately 3 times per day at the same time as the NCPT and blood draw. , Wearable device data (sample.json): participants wore an Empatica E4 device for the duration of the challenge study. Summarized features are provided for each subject that include sleep duration (mean and std), sleep offset (mean and std), and temperature (mean and std). , Steroid data was also collected and is included in the sample.json. This steroid data was collected from the whole blood samples and consists of cortisol, melatonin, and DHEAS. , and See README.txt for more specific details on the data structures contained in the sample.json, subject.json, and genematrix_TPM.csv files.
- Keyword:
- human challenge study and cognitive health and immunity
- Citation to related publication:
- X She, Y Zhai, R Henao, CW Woods, C Chiu, Geoffrey S. Ginsburg, Peter X.K. Song, AO. Hero, “Adaptive multi-channel event segmentation and feature extraction for monitoring health outcomes,” IEEE Transactions on Biomedical Engineering, vol. 68, no. 8, pp. 2377-2388, Aug. 2021, doi: 10.1109/TBME.2020.3038652. Available on arxiv:2008.09215 , Emilia Grzesiak, Brinnae Bent, Micah T. McClain, Christopher W. Woods, Ephraim L. Tsalik, Bradly P. Nicholson, Timothy Veldman, Thomas W. Burke, Zoe Gardener, Emma Bergstrom, Ronald B. Turner, Christopher Chiu, P. Murali Doraiswamy, Alfred Hero, Ricardo Henao, Geoffrey S. Ginsburg, Jessilyn Dunn Assessment of the Feasibility of Using Noninvasive Wearable Biometric Monitoring Sensors to Detect Influenza and the Common Cold Before Symptom Onset. JAMA Netw Open. 2021;4(9):e2128534. doi:10.1001/jamanetworkopen.2021.28534 , E Sabeti, S Oh, PX Song, A Hero. “A Pattern Dictionary Method for Anomaly Detection,” Entropy, vol 24, pp. 1095 Aug 2022. doi: 10.3390/e24081095, and Yaya Zhai, P. Murali Doraiswamy, Christopher W. Woods, Ronald B. Turner, Thomas W. Burke, Geoffrey S. Ginsburg, Alfred O. Hero, "Pre-exposure cognitive performance variability is associated with severity of respiratory infection," manuscript under review.
- Discipline:
- Health Sciences and Social Sciences
-
- Creator:
- Hsu, Jer-En, Cho, Chun-Seok, Kim, Myungjin, Xi, Jingyue, and Lee, Jun Hee
- Description:
- There are three experimental outputs from Seq-Scope. (1) High definition map coordinate identifier (HDMI) sequence, tile and spatial coordinate information from 1st-Seq, (2) HDMI sequence, coupled with cDNA sequence from 2nd-Seq, and (3) Histological image obtained from Hematoxylin and Eosin (H&E) staining of the tissue slice. (1) and (2) were uploaded to GEO ( https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE186601). (3) is deposited here. In addition, this deposit includes the processed RDS (single R object) data files.
- Citation to related publication:
- Do TH, Ma F, Andrade PR, Teles R, de Andrade Silva BJ, Hu C, Espinoza A, Hsu JE, Cho CS, Kim M, Xi J, Xing X, Plazyo O, Tsoi LC, Cheng C, Kim J, Bryson BD, O'Neill AM, Colonna M, Gudjonsson JE, Klechevsky E, Lee JH, Gallo RL, Bloom BR, Pellegrini M, Modlin RL. TREM2 macrophages induced by human lipids drive inflammation in acne lesions. Sci Immunol. 2022 Jul 22;7(73):eabo2787. doi: 10.1126/sciimmunol.abo2787. Epub 2022 Jul 22. PMID: 35867799; PMCID: PMC9400695.
- Discipline:
- Health Sciences
-
- Creator:
- Goodrich, Jaclyn M., Tang, Lu, Rodríguez-Carmona, Yanelli, Meijer, J L., Perng, Wei, Watkins, Deborah J., Meeker, John D. , Mercado-García, Adriana, Cantoral, Alejandra, Song, Peter X. , Téllez-Rojo, Martha M. , and Peterson, Karen E.
- Description:
- Phthalates are chemicals found in many products that humans are exposed to. Prenatal exposure to phthalates has been associated with adverse outcomes that are detected in childhood, adolescence, and even adulthood. In this study, we sought to identify subtle biological changes in the metabolome of children that were exposed to phthalates during gestation. We hypothesized that prenatal phthalate exposures would alter metabolic pathways related to adiposity and cardiometabolic health. The article is under review (citation to be added when paper is published). The data included here encompass all exposure, demographic, and untargeted metabolomics data needed for the analysis described in the manuscript.
- Keyword:
- Phthalates , Prenatal, and Metabolomics
- Citation to related publication:
- Goodrich J.M., Tang L.,Rodríguez-Carmona Y., Meijer J.L, Perng W., Watkins D.J., Meeker J.D., Mercado-García A., Cantoral A., Song P.X., Téllez-Rojo M.M., Peterson K.E. Trimester-specific phthalate exposures in pregnancy are associated with circulating metabolites in children. PLoS One. (Under revision – forthcoming.)
- Discipline:
- Other and Health Sciences
-
- Creator:
- Zalta, Alyson K., Vanderboll, Kathryn, Dent, Amy L., Contreras, Isaias M., Malek, Nadia, Lascano, Xrystyan N., Zellner, Kelly L., Grandhi, Jyotsna, Araujo, Precious J., Straka, Kelci, Liang, Cathy Z., Czarny, Jordyn E., Martinez, Jazmin, and Burgess, Helen J.
- Description:
- An individual participant data meta-analysis was conducted to examine 1) the degree to which bedtime, wake time, and chronotype correlate with posttraumatic stress disorder (PTSD) severity among individuals diagnosed with PTSD, 2) the standardized mean difference in bedtime, wake time, and chronotype for those with and without a PTSD diagnosis, and 3) moderators of these relationships. This deposit includes the full dataset used for data analyses. No proprietary software is required to open any of these files.
- Keyword:
- Psychology, Posttraumatic Stress Disorder, Sleep Timing, Chronotype, and Meta-Analysis
- Citation to related publication:
- Zalta, A. K., Vanderboll, K., Dent, A. L., Contreras, I. M., Malek, N., Lascano, X. N., Zellner, K. L., Grandhi, J., Araujo, P. J., Straka, K., Liang, C. Z., Czarny, J. E., Martinez, J., & Burgess, H. J. (2023). Sleep timing, chronotype, and posttraumatic stress disorder: An individual participant data meta-analysis. Psychiatry research, 321, 115061. Advance online publication. https://doi.org/10.1016/j.psychres.2023.115061
- Discipline:
- Health Sciences
-
- Creator:
- Lester, Corey A, Al Kontar, Raed, and Chen, Qiyuan
- Description:
- The dataset contains images of pills inside a medication bottle from a top down view. The dataset was used to build an image classification model for predicting the national drug code (NDC) of the medication seen in the image. There are 13,955 images of 20 distinct NDC. The image data were used to create a machine learning algorithm which could predict the NDC.
- Keyword:
- Medication, Pills, and Image
- Discipline:
- Health Sciences
-
- Creator:
- Harper Diane M
- Description:
- Patients included in this study were all males with no prior HIV diagnosis between 18 and 45 years who had at least one primary care encounter between March 2016 and March 2019. We chose 2016 as the index year because the question of the sexual partners’ gender became coded data elements with the clinic contact. Eligible patients were grouped based on reported sexual partners at the most recent disclosure. Individuals who reported having a male sexual partner or both a male and female partner were included in the MSM group. The non-MSM group included individuals who reported only a female partner or no partner. Patients who did not answer the question were excluded from the study. The study proposal was submitted to the Institutional Review Boards of the University of Michigan Medical School and was exempted from ongoing IRB review (HUM00155091). Individual consent was waived for this study.
- Keyword:
- HIV, MSM, and annual screening
- Discipline:
- Health Sciences