Public health surveillance is a vital component in the assessment of health-related behaviors such as physical activity (PA). With multiple active national health surveys in the United States, questions arise about how data are collected, what each data source contributes to the overall knowledge base about PA and health outcomes, and how to interpret PA data from different data sources to gain an understanding about PA at the population level. This article highlights specifically the challenges and opportunities with using wearable devices in population-level PA assessment. A major challenge faced by PA assessment researchers is that of which assessment methods and evaluation tools to use and under what circumstances to use them. This article discusses issues related to (1) what device to use, (2) how to collect data, (3) how to process data, (4) how to analyze the data, and (5) how to report the procedures used. These decisions shape not only the data collection process including collection time and cost but also directly impact data analysis and subsequently the outcomes of interest. This article discusses the implications of using different assessment methods and evaluation tools and how the use of sensor-based tools may impact the future of PA assessment at the population level. There are a number of opportunities emerging for population-level assessment of PA due in part to the technological advances occurring with wearable technology. These opportunities may afford surveillance systems new data streams to bolster what is currently being collected to provide more robust estimates of PA and other health behaviors. The article concludes with some discussion about how the landscape of population-level PA assessment is changing, thanks to increasing opportunities to collect wearable device data. With new data streams becoming available through advanced wearable devices containing multiple sensor types and the opportunity for corporate partnerships, the way PA is being assessed could change considerably in the near future. While acknowledging the limitations of wearable technology, it is an exciting time for PA assessment, given the possibilities on the horizon.
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http://dx.doi.org/10.1016/j.annepidem.2020.01.011 | DOI Listing |
J Eval Clin Pract
February 2025
Unité Post Urgences Médicales, Hôpital Robert Debré (Reims University Hospital), Reims, France.
Introduction: Few data on the impact of specific interventions against Emergency Rooms 'or Hospitals overcrowding are available in France.
Methods: In the present report, we retrospectively investigated the impact of the implementation of a short-stay observation unit associated with the admitter-rounder model, especially onto the other in-patient internal medicine units in a French University Hospital.
Results: During the first 100 days, 242 patients were admitted into the short-stay observation unit.
Leadersh Health Serv (Bradf Engl)
January 2025
Department of Management and Marketing, Notre Dame University Louaize, Zouk Mosbeh, Lebanon.
Purpose: This study aims to examine the relationships between organizational culture, employee loyalty, trust and job satisfaction within the Lebanese health-care sector. It addresses the critical need to improve employee retention and organizational performance in a context marked by economic instability and political uncertainty. By analyzing data from 270 health-care professionals, the study aims to explore how different aspects of organizational culture - such as transparency, supportiveness and ethical leadership - affect employee trust and satisfaction.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Background: Patients undergoing liver transplantation (LT) are at risk of perioperative neurocognitive dysfunction (PND), which significantly affects the patients' prognosis.
Objective: This study used machine learning (ML) algorithms with an aim to extract critical predictors and develop an ML model to predict PND among LT recipients.
Methods: In this retrospective study, data from 958 patients who underwent LT between January 2015 and January 2020 were extracted from the Third Affiliated Hospital of Sun Yat-sen University.
JMIR Form Res
January 2025
Graduate School of Public Health Policy, City University of New York, New York, NY, United States.
Background: Childhood obesity prevalence remains high, especially in racial and ethnic minority populations with low incomes. This epidemic is attributed to various dietary behaviors, including increased consumption of energy-dense foods and sugary beverages and decreased intake of fruits and vegetables. Interactive, technology-based approaches are emerging as promising tools to support health behavior changes.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Department of Computer Science, University Hospital of Geneva, Geneva, Switzerland.
Background: Mobile health apps have shown promising results in improving self-management of several chronic diseases in patients. We have developed a mobile health app (Cardiomeds) dedicated to patients with heart failure (HF). This app includes an interactive medication list; daily self-monitoring of symptoms, weight, blood pressure, and heart rate; and educational information on HF delivered through various formats.
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