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2022: Two-year Impact Factor: 4.4
Scopus Journal Metrics
CiteScore (2022): 5.3
SNIP(2022):1.389
SJR(2022): 0.78
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Open Access

Health Promot Perspect. 2017;7(4): 190-196. doi: 10.15171/hpp.2017.34
PMID: 29085795        PMCID: PMC5647353

Original Article

Cross-Sectional and longitudinal associations of objectively-measured physical activity on blood pressure: evaluation in 37 countries

Mehdi Menai 1, Benoit Brouard 2, Matthieu Vegreville 2, Angela Chieh 2, Nicolas Schmidt 2, Jean-Michel Oppert 3, Hélène Lelong 4, Paul D. Loprinzi 5 *

Cited by CrossRef: 16


1- Kikuchi K, Islam R, Nishikitani M, Sato Y, Izukura R, Yokota F, Khan N, Nessa M, Ahmed A, Morokuma S, Nakashima N, Saleem S. Women’s health status before and during the COVID-19 pandemic in rural Bangladesh: A prospective longitudinal study. PLoS ONE. 2022;17(5):e0266141 [Crossref]
2- Cho S, Ensari I, Weng C, Kahn M, Natarajan K. Factors Affecting the Quality of Person-Generated Wearable Device Data and Associated Challenges: Rapid Systematic Review. JMIR Mhealth Uhealth. 2021;9(3):e20738 [Crossref]
3- Cho S, Ensari I, Elhadad N, Weng C, Radin J, Bent B, Desai P, Natarajan K. An interactive fitness-for-use data completeness tool to assess activity tracker data. 2022;29(12):2032 [Crossref]
4- El Fatouhi D, Héritier H, Allémann C, Malisoux L, Laouali N, Riveline J, Salathé M, Fagherazzi G. Associations Between Device-Measured Physical Activity and Glycemic Control and Variability Indices Under Free-Living Conditions. Diabetes Technology & Therapeutics. 2022;24(3):167 [Crossref]
5- Huhn S, Axt M, Gunga H, Maggioni M, Munga S, Obor D, Sié A, Boudo V, Bunker A, Sauerborn R, Bärnighausen T, Barteit S. The Impact of Wearable Technologies in Health Research: Scoping Review. JMIR Mhealth Uhealth. 2022;10(1):e34384 [Crossref]
6- Yari-Boroujeni R, Farjad M, Olazadeh K, Cheraghi L, Parvin P, Azizi F, Amiri P. The association between leisure-time physical activity and blood pressure changes from adolescence to young adulthood: Tehran Lipid and Glucose Study. Sci Rep. 2023;13(1) [Crossref]
7- Kreutz R, Dobrowolski P, Prejbisz A, Algharably E, Bilo G, Creutzig F, Grassi G, Kotsis V, Lovic D, Lurbe E, Modesti P, Pappaccogli M, Parati G, Persu A, Polonia J, Rajzer M, de Timary P, Weber T, Weisser B, Tsioufis K, Mancia G, Januszewicz A. Lifestyle, psychological, socioeconomic and environmental factors and their impact on hypertension during the coronavirus disease 2019 pandemic. 2021;39(6):1077 [Crossref]
8- Johnson L, Loprinzi P. The effects of acute exercise on episodic memory function among young university students: moderation considerations by biological sex. Health Promot Perspect. 2019;9(2):99 [Crossref]
9- El Fatouhi D, Delrieu L, Goetzinger C, Malisoux L, Affret A, Campo D, Fagherazzi G. Associations of Physical Activity Level and Variability With 6-Month Weight Change Among 26,935 Users of Connected Devices: Observational Real-Life Study. JMIR Mhealth Uhealth. 2021;9(4):e25385 [Crossref]
10- Cho S, Weng C, Kahn M, Natarajan K. Identifying Data Quality Dimensions for Person-Generated Wearable Device Data: Multi-Method Study. JMIR Mhealth Uhealth. 2021;9(12):e31618 [Crossref]
11- Sandberg K, Wright S, Umans J. Activity Tracking’s Newest Companion. Hypertension. 2018;72(2):294 [Crossref]
12- Komarzynski S, Wreglesworth N, Griffiths D, Pecchia L, Subbe C, Hughes S, Davies E, Innominato P. Embracing Change: Learnings From Implementing Multidimensional Digital Remote Monitoring in Oncology Patients at a District General Hospital During the COVID-19 Pandemic. JCO Clinical Cancer Informatics. 2021;(5):216 [Crossref]

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2-year Impact Factor: 4.4

  


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