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Malecki KMC, Nikodemova M, Schultz AA, LeCaire TJ, Bersch AJ, Cadmus-Bertram L, Engelman CD, Hagen E, McCulley L, Palta M, Rodriguez A, Sethi AK, Walsh MC, Nieto FJ, Peppard PE. The Survey of the Health of Wisconsin (SHOW) Program: An Infrastructure for Advancing Population Health. Front Public Health 2022; 10:818777. [PMID: 35433595 PMCID: PMC9008403 DOI: 10.3389/fpubh.2022.818777] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Accepted: 02/14/2022] [Indexed: 11/23/2022] Open
Abstract
Introduction The Survey of the Health of Wisconsin (SHOW) was established in 2008 by the University of Wisconsin (UW) School of Medicine and Public Health (SMPH) with the goals of (1) providing a timely and accurate picture of the health of the state residents; and (2) serving as an agile resource infrastructure for ancillary studies. Today, the SHOW program continues to serve as a unique and vital population health research infrastructure for advancing public health. Methods SHOW currently includes 5,846 adult and 980 minor participants recruited between 2008 and 2019 in four primary waves. WAVE I (2008–2013) includes annual statewide representative samples of 3,380 adults ages 21 to 74 years. WAVE II (2014–2016) is a triannual statewide sample of 1,957 adults (age ≥18 years) and 645 children (age 0–17). WAVE III (2017) consists of follow-up of 725 adults from the WAVE I and baseline surveys of 222 children in selected households. WAVEs II and III include stool samples collected as part of an ancillary study in a subset of 784 individuals. WAVE IV consists of 517 adults and 113 children recruited from traditionally under-represented populations in biomedical research including African Americans and Hispanics in Milwaukee, Wisconsin. Findings to Date The SHOW resource provides unique spatially granular and timely data to examine the intersectionality of multiple social determinants and population health. SHOW includes a large biorepository and extensive health data collected in a geographically diverse urban and rural population. Over 60 studies have been published covering a broad range of topics including, urban and rural disparities in cardio-metabolic disease and cancer, objective physical activity, sleep, green-space and mental health, transcriptomics, the gut microbiome, antibiotic resistance, air pollution, concentrated animal feeding operations and heavy metal exposures. Discussion The SHOW cohort and resource is available for continued follow-up and ancillary studies including longitudinal public health monitoring, translational biomedical research, environmental health, aging, microbiome and COVID-19 research.
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Affiliation(s)
- Kristen M C Malecki
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States
| | - Maria Nikodemova
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States
| | - Amy A Schultz
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States
| | - Tamara J LeCaire
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States.,School of Medicine and Public Health, Wisconsin Alzheimer's Institute, University of Wisconsin, Madison, WI, United States
| | - Andrew J Bersch
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States
| | - Lisa Cadmus-Bertram
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States.,Department of Kinesiology, School of Education, University of Wisconsin, Madison, WI, United States
| | - Corinne D Engelman
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States
| | - Erika Hagen
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States
| | - Laura McCulley
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States
| | - Mari Palta
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States
| | - Allison Rodriguez
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States
| | - Ajay K Sethi
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States
| | - Matt C Walsh
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States
| | - F Javier Nieto
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States.,School of Medicine and Public Health, Wisconsin Alzheimer's Institute, University of Wisconsin, Madison, WI, United States.,College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, United States
| | - Paul E Peppard
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States
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Park Y, Go TH, Hong SH, Kim SH, Han JH, Kang Y, Kang DR. Digital Biomarkers in Living Labs for Vulnerable and Susceptible Individuals: An Integrative Literature Review. Yonsei Med J 2022; 63:S43-S55. [PMID: 35040605 PMCID: PMC8790590 DOI: 10.3349/ymj.2022.63.s43] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 10/26/2021] [Accepted: 10/27/2021] [Indexed: 11/27/2022] Open
Abstract
PURPOSE The study aimed to identify which digital biomarkers are collected and which specific devices are used according to vulnerable and susceptible individual characteristics in a living-lab setting. MATERIALS AND METHODS A literature search, screening, and appraisal process was implemented using the Web of Science, Pubmed, and Embase databases. The search query included a combination of terms related to "digital biomarkers," "devices that collect digital biomarkers," and "vulnerable and susceptible groups." After the screening and appraisal process, a total of 37 relevant articles were obtained. RESULTS In elderly people, the main digital biomarkers measured were values related to physical activity. Most of the studies used sensors. The articles targeting children aimed to predict diseases, and most of them used devices that are simple and can induce some interest, such as wearable device-based smart toys. In those who were disabled, digital biomarkers that measured location-based movement for the purpose of diagnosing disabilities were widely used, and most were measured by easy-to-use devices that did not require detailed explanations. In the disadvantaged, digital biomarkers related to health promotion were measured, and various wearable devices, such as smart bands and headbands were used depending on the purpose and target. CONCLUSION As the digital biomarkers and devices that collect them vary depending on the characteristics of study subjects, researchers should pay attention not only to the purpose of the study but also the characteristics of study subjects when collecting and analyzing digital biomarkers from living labs.
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Affiliation(s)
- YouHyun Park
- Department of Biostatistics, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Tae-Hwa Go
- Department of Biostatistics, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Se Hwa Hong
- Department of Biostatistics, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Sung Hwa Kim
- Department of Biostatistics, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Jae Hun Han
- Department of Biostatistics, Yonsei University Wonju College of Medicine, Wonju, Korea
| | | | - Dae Ryong Kang
- Department of Biostatistics, Yonsei University Wonju College of Medicine, Wonju, Korea
- Department of Precision Medicine and Biostatistics, Yonsei University Wonju College of Medicine, Wonju, Korea.
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Salamone F, Masullo M, Sibilio S. Wearable Devices for Environmental Monitoring in the Built Environment: A Systematic Review. SENSORS (BASEL, SWITZERLAND) 2021; 21:4727. [PMID: 34300467 PMCID: PMC8309593 DOI: 10.3390/s21144727] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 06/29/2021] [Accepted: 07/06/2021] [Indexed: 01/16/2023]
Abstract
The so-called Internet of Things (IoT), which is rapidly increasing the number of network-connected and interconnected objects, could have a far-reaching impact in identifying the link between human health, well-being, and environmental concerns. In line with the IoT concept, many commercial wearables have been introduced in recent years, which differ from the usual devices in that they use the term "smart" alongside the terms "watches", "glasses", and "jewellery". Commercially available wearables aim to enhance smartphone functionality by enabling payment for commercial items or monitoring physical activity. However, what is the trend of scientific production about the concept of wearables regarding environmental monitoring issues? What are the main areas of interest covered by scientific production? What are the main findings and limitations of the developed solution in this field? The methodology used to answer the above questions is based on a systematic review. The data were acquired following a reproducible methodology. The main result is that, among the thermal, visual, acoustic, and air quality environmental factors, the last one is the most considered when using wearables even though in combination with some others. Another relevant finding is that of the acquired studies; in only one, the authors shared their wearables as an open-source device, and it will probably be necessary to encourage researchers to consider open-source as a means to promote scalability and proliferation of new wearables customized to cover different domains.
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Affiliation(s)
- Francesco Salamone
- Construction Technologies Institute, National Research Council of Italy (ITC-CNR), Via Lombardia, 49, San Giuliano Milanese, 20098 Milano, Italy
- Department of Architecture and Industrial Design, Università degli Studi della Campania “Luigi Vanvitelli”, Via San Lorenzo, Abazia di San Lorenzo, 81031 Aversa, Italy; (M.M.); (S.S.)
| | - Massimiliano Masullo
- Department of Architecture and Industrial Design, Università degli Studi della Campania “Luigi Vanvitelli”, Via San Lorenzo, Abazia di San Lorenzo, 81031 Aversa, Italy; (M.M.); (S.S.)
| | - Sergio Sibilio
- Department of Architecture and Industrial Design, Università degli Studi della Campania “Luigi Vanvitelli”, Via San Lorenzo, Abazia di San Lorenzo, 81031 Aversa, Italy; (M.M.); (S.S.)
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Malecki KM, Nikodemova M, Schultz AA, LeCaire TJ, Bersch AJ, Cadmus-Bertram L, Engelman CD, Hagen E, Palta M, Sethi AK, Walsh MC, Nieto FJ, Peppard PE. The Survey of the Health of Wisconsin (SHOW) Program: An infrastructure for Advancing Population Health Sciences. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2021:2021.03.15.21253478. [PMID: 33851173 PMCID: PMC8043470 DOI: 10.1101/2021.03.15.21253478] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
PURPOSE The Survey of the Health of Wisconsin (SHOW) was established in 2008 by the University of Wisconsin (UW) School of Medicine and Public Health (SMPH) with the goals of 1) providing a timely and accurate picture of the health of the state residents; and 2) serving as an agile resource infrastructure for ancillary studies. Today SHOW continues to serve as a vital population health research infrastructure. PARTICIPANTS SHOW currently includes 5,846 adult and 980 minor participants recruited between 2008-2019 in four primary waves. WAVE I (2008-2013) includes annual statewide representative samples of 3,380 adults ages 21 to 74 years. WAVE II (2014-2016) is a triannual statewide sample of 1957 adults (age ≥18 years) and 645 children. WAVE III (2017) consists of follow-up of 725 adults from the WAVE I and baseline surveys of 222 children in selected households. WAVEs II and III include stool samples collected as part of an ancillary study in a subset of 784 individuals. WAVE IV consist of 517 adults and 113 children recruited from traditionally under-represented populations in biomedical research including African Americans and Hispanics in Milwaukee county, WI. FINDINGS TO DATE The SHOW provides extensive data to examine the intersectionality of multiple social determinants and population health. SHOW includes a large biorepository and extensive health data collected in a geographically diverse urban and rural population. Over 60 studies have been published covering a broad range of topics including, urban and rural disparities in cardio-metabolic disease and cancer, objective physical activity, sleep, green-space and mental health, transcriptomics, the gut microbiome, antibiotic resistance, air pollution, concentrated animal feeding operations and heavy metal exposures. FUTURE PLANS The SHOW cohort is available for continued longitudinal follow-up and ancillary studies including genetic, multi-omic and translational environmental health, aging, microbiome and COVID-19 research. ARTICLE SUMMARY Strengths and limitations: The Survey of the Health of Wisconsin (SHOW) is an infrastructure to advance population health sciences including biological sample collection and broader data on individual and neighborhood social and environmental determinants of health.The extensive data from diverse urban and rural populations offers a unique study sample to compare how socio-economic gradients shape health outcomes in different contexts.The objective health data supports novel interdisciplinary research initiatives and is especially suited for research in causes and consequences of environmental exposures (physical, chemical, social) across the life course on cardiometabolic health, immunity, and aging related conditions.The extensive biorepository supports novel omics research into common biological mechanisms underlying numerous complex chronic conditions including inflammation, oxidative stress, metabolomics, and epigenetic modulation.Ancillary studies, such as the Wisconsin Microbiome Study, have expanded the utility of the study to examine human susceptibility to environmental exposures and opportunities for investigations of the role of microbiome in health and disease.Long-standing partnerships and recent participation among traditionally under-represented populations in biomedical research offer numerous opportunities to support community-driven health equity work.No biological samples were collected among children.The statewide sampling frame may limit generalizability to other regions in the United States.
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Affiliation(s)
- Kristen M.C. Malecki
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison
| | - Maria Nikodemova
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison
| | - Amy A. Schultz
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison
| | - Tamara J. LeCaire
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin, Madison
| | - Andrew J. Bersch
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison
| | - Lisa Cadmus-Bertram
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison
- Department of Kinesiology, School of Education, University of Wisconsin, Madison
| | - Corinne D. Engelman
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison
| | - Erika Hagen
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison
| | - Mari Palta
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison
| | - Ajay K. Sethi
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison
| | | | - F. Javier Nieto
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison
- Department of Kinesiology, School of Education, University of Wisconsin, Madison
| | - Paul E. Peppard
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison
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