Background: The purpose of this paper is to describe the data collection efforts and validation of PhenX measures in the Personalized Medicine Research Project (PMRP) cohort.
Methods: Thirty-six measures were chosen from the PhenX Toolkit within the following domains: demographics; anthropometrics; alcohol, tobacco and other substances; cardiovascular; environmental exposures; cancer; psychiatric; neurology; and physical activity and physical fitness. Eligibility criteria for the current study included: living PMRP subjects with known addresses who consented to future contact and were not currently living in a nursing home, available GWAS data from eMERGE I for subjects where age-related cataract, HDL, dementia and resistant hypertension were the primary phenotypes, thus biasing the sample to the older PMRP participants. The questionnaires were mailed twice. Data from the PhenX measures were compared with information from PMRP questionnaires and data from Marshfield Clinic electronic medical records.
Results: Completed PhenX questionnaires were returned by 2271 subjects for a final response rate of 70%. The mean age reported on the PhenX questionnaire (73.1 years) was greater than the PMRP questionnaire (64.8 years) because the data were collected at different time points. The mean self-reported weight, and subsequently calculated BMI, were less on the PhenX survey than the measured values at the time of enrollment into PMRP (PhenX means 173.5 pounds and BMI 28.2 kg/m2 versus PMRP 182.9 pounds and BMI 29.6 kg/m2). There was 95.3% agreement between the two questionnaires about having ever smoked at least 100 cigarettes. 139 (6.2%) of subjects indicated on the PhenX questionnaire that they had been told they had a stroke. Of them, only 15 (10.8%) had no electronic indication of a prior stroke or TIA. All of the age-and gender-specific 95% confidence limits around point estimates for major depressive episodes overlap and show that 31% of women aged 50-64 reported symptoms associated with a major depressive episode.
Conclusions: The approach employed resulted in a high response rate and valuable data for future gene/environment analyses. These results and high response rate highlight the utility of the PhenX Toolkit to collect valid phenotypic data that can be shared across groups to facilitate gene/environment studies.
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http://dx.doi.org/10.1186/1755-8794-7-3 | DOI Listing |
Biol Psychiatry Cogn Neurosci Neuroimaging
October 2024
Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia.
Am J Epidemiol
August 2024
Department of Epidemiology, University of California Los Angeles School of Public Health, Los Angeles, CA.
Trauma, defined as exposure to actual or threatened death, serious injury or sexual violence, is a pervasive, major public health challenge that disproportionately burdens socially disadvantaged groups and has known consequences for health outcomes in early and midlife. Despite plausible mechanisms by which trauma may also be a critically important risk factor for health outcomes in late life, there is presently a lack of literature evaluating the consequences of trauma on aging related health outcomes and inequities, such as dementia. In this commentary, we (a) discuss drivers of the paucity of epidemiological evidence on trauma and health outcomes in late life, namely a lack of available data, supported by detailed review of trauma measures, including interpersonal violence-a particularly common form of trauma-in seven established longitudinal aging cohort studies in the United States (US); (b) address four common concerns about the inclusion of trauma measures in cohort studies; and (c) suggest ways forward, including specific assessment tools to measure interpersonal violence after a structured review of the PhenX Toolkit, to facilitate critical research to understand the impact of trauma on outcomes in late life.
View Article and Find Full Text PDFAdvers Resil Sci
December 2023
Emory University, Rollins School of Public Health, Department of Behavioral, Social and Health Education Sciences, Atlanta, GA, USA.
A team of tribe-based behavioral health specialists and university-based researchers partnered to implement a cluster randomized trial for the prevention of drug misuse among adolescents attending public high schools on or near the Cherokee Nation Reservation in northeastern Oklahoma. The conceptual framework, which guided intervention and measurement design for the trial, incorporates indigenous knowledge and worldviews with empirically-based frameworks and evidence-based practices. Our goal is to serve multicultural youth, families, and schools and to provide a model of effective strategies for wide dissemination.
View Article and Find Full Text PDFAddict Neurosci
September 2023
Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, USA.
The use of standard protocols in studies supports consistent data collection, improves data quality, and facilitates cross-study analyses. Funded by the National Institutes of Health, the PhenX (consensus measures for otypes and eposures) Toolkit is a catalog of recommended measurement protocols that address a wide range of research topics and are suitable for inclusion in a variety of study designs. In 2020, a PhenX Working Group of smoking cessation experts followed a well-established consensus process to identify and recommend measurement protocols suitable for inclusion in smoking cessation and smoking harm reduction studies.
View Article and Find Full Text PDFCurr Protoc
January 2024
RTI International, Research Triangle Park, North Carolina.
Health disparities are driven by unequal conditions in the environments in which people are born, live, learn, work, play, worship, and age, commonly termed the Social Determinants of Health (SDoH). The availability of recommended measurement protocols for SDoH will enable investigators to consistently collect data for SDoH constructs. The PhenX (consensus measures for Phenotypes and eXposures) Toolkit is a web-based catalog of recommended measurement protocols for use in research studies with human participants.
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