Comparing national device-based physical activity surveillance systems: a systematic review.

Int J Behav Nutr Phys Act

Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, van der Boechorststraat 7, Amsterdam, 1081BT, the Netherlands.

Published: July 2024

Background: Physical activity surveillance systems are important for public health monitoring but rely mostly on self-report measurement of physical activity. Integration of device-based measurements in such systems can improve population estimates, however this is still relatively uncommon in existing surveillance systems. This systematic review aims to create an overview of the methodology used in existing device-based national PA surveillance systems.

Methods: Four literature databases (PubMed, Embase.com, SPORTDiscus and Web of Science) were searched, supplemented with backward tracking. Articles were included if they reported on population-based (inter)national surveillance systems measuring PA, sedentary time and/or adherence to PA guidelines. When available and in English, the methodological reports of the identified surveillance studies were also included for data extraction.

Results: This systematic literature search followed the PRISMA guidelines and yielded 34 articles and an additional 18 methodological reports, reporting on 28 studies, which in turn reported on one or multiple waves of 15 different national and 1 international surveillance system. The included studies showed substantial variation between (waves of) systems in number of participants, response rates, population representativeness and recruitment. In contrast, the methods were similar on data reduction definitions (e.g. minimal number of valid days, non-wear time and necessary wear time for a valid day).

Conclusions: The results of this review indicate that few countries use device-based PA measurement in their surveillance system. The employed methodology is diverse, which hampers comparability between countries and calls for more standardized methods as well as standardized reporting on these methods. The results from this review can help inform the integration of device-based PA measurement in (inter)national surveillance systems.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11223351PMC
http://dx.doi.org/10.1186/s12966-024-01612-8DOI Listing

Publication Analysis

Top Keywords

surveillance systems
20
physical activity
12
international surveillance
12
surveillance
9
activity surveillance
8
systems systematic
8
systematic review
8
integration device-based
8
methodological reports
8
surveillance system
8

Similar Publications

Malaria vector surveillance is required to determine disease transmission dynamics, vector insecticide susceptibility status, suitable control strategies and impact of control interventions. However, capacity and resources for vector surveillance and insecticide resistance monitoring is often inadequate in most countries at risk of vector-borne diseases. Collaborations and linkages between malaria control policy makers and existing research institutions generating vector surveillance research data are often weak, thereby hindering the availability of data for decision-making.

View Article and Find Full Text PDF

Background: Digital health has emerged as a promising solution for enhancing health system in the recent years, showing significant potential in improving service outcomes, particularly in low and middle-income countries where accessing essential health service is challenging. This review aimed to determine the effectiveness of short message services on focused antenatal care, skilled birth attendance, and postnatal care improvement in low and middle-income countries.

Method: Electronic databases such as PubMed, EMBASE, Scopus, Cochrane, and Google and Google Scholar were searched.

View Article and Find Full Text PDF

Systemic adverse drug events to topical prostaglandin analogs for treating glaucoma: a retrospective focused pharmacovigilance study.

BMC Ophthalmol

December 2024

Department of Pharmacology & Therapeutics, College of Medicine & Health Sciences, Arabian Gulf University, Manama, Kingdom of Bahrain.

Background: Prostaglandin analogs are first-line treatments for open-angle glaucoma due to their proven efficacy in reducing intraocular pressure. Despite their topical administration, systemic adverse drug Events (ADEs) have been reported. This study investigates the systemic ADEs associated with topical prostaglandin analogs using the United States Food and Drug Administration (USFDA) Adverse Drug Event Reporting System (AERS) database.

View Article and Find Full Text PDF

Leveraging AHP and transfer learning in machine learning for improved prediction of infectious disease outbreaks.

Sci Rep

December 2024

Public Health and community medicine Department, Theodor Bilharz Research Institute, Helwan University, Cairo, Egypt.

Infectious diseases significantly impact both public health and economic stability, underscoring the critical need for precise outbreak predictions to effictively mitigate their impact. This study applies advanced machine learning techniques to forecast outbreaks of Dengue, Chikungunya, and Zika, utilizing a comprehensive dataset comprising climate and socioeconomic data. Spanning the years 2007 to 2017, the dataset includes 1716 instances characterized by 27 distinct features.

View Article and Find Full Text PDF

Introduction And Aims: Women residing in lower socioeconomic status (SES) areas have lower breast cancer survival but it is not clear how differences in the quality of care received contribute to these disparities. We compared adherence to clinical practice guidelines (CPG) for the diagnosis and treatment of breast cancer and subsequent breast cancer survival between women residing in lower versus higher SES areas.

Methods: We conducted a multicentre population-based study of all new cases of invasive breast cancer in women diagnosed 2010-2014 in six Spanish provinces with population-based cancer registries (n=3206).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!