[HTML][HTML] Digital technology interventions for risk factor modification in patients with cardiovascular disease: systematic review and meta-analysis

AS Akinosun, R Polson, Y Diaz-Skeete… - JMIR mHealth and …, 2021 - mhealth.jmir.org
Background Approximately 50% of cardiovascular disease (CVD) cases are attributable to
lifestyle risk factors. Despite widespread education, personal knowledge, and efficacy, many …

[HTML][HTML] The P4 health spectrum–a predictive, preventive, personalized and participatory continuum for promoting healthspan

M Sagner, A McNeil, P Puska, C Auffray… - Progress in …, 2017 - journals.lww.com
Chronic diseases (ie, noncommunicable diseases), mainly cardiovascular disease, cancer,
respiratory diseases and type-2-diabetes, are now the leading cause of death, disability and …

Effect of lifestyle-focused text messaging on risk factor modification in patients with coronary heart disease: a randomized clinical trial

CK Chow, J Redfern, GS Hillis, J Thakkar, K Santo… - Jama, 2015 - jamanetwork.com
Importance Cardiovascular disease prevention, including lifestyle modification, is important
but underutilized. Mobile health strategies could address this gap but lack evidence of …

The role of technology in chronic disease care

RV Milani, RM Bober, CJ Lavie - Progress in cardiovascular diseases, 2016 - Elsevier
Chronic disease represents the epidemic of our time, present in half the adult population
and responsible for 86% of United States (US) healthcare costs and 70% of deaths. The …

Utility of consumer physical activity trackers as an intervention tool in cardiovascular disease prevention and treatment

AM Hickey, PS Freedson - Progress in cardiovascular diseases, 2016 - Elsevier
Consumer activity trackers have grown in popularity over the last few years. These devices
are typically worn on the hip or wrist and provide the user with information about physical …

A machine learning approach to classifying self-reported health status in a cohort of patients with heart disease using activity tracker data

Y Meng, W Speier, C Shufelt, S Joung… - IEEE journal of …, 2019 - ieeexplore.ieee.org
Constructing statistical models using personal sensor data could allow for tracking health
status over time, thereby enabling the possibility of early intervention. The goal of this study …

Integrating wearable technology products and big data analytics in business strategy: A study of health insurance firms

B Nayak, SS Bhattacharyya… - Journal of Systems and …, 2019 - emerald.com
Purpose This study aims to explore the impact of the adoption of wearable technology
products for Indian health insurance firms. It identifies the key dynamic capabilities that …

Effects of exercise training on exercise capacity in pulmonary arterial hypertension: a systematic review of clinical trials

AS Babu, R Padmakumar, AG Maiya… - Heart, Lung and …, 2016 - Elsevier
Background Pulmonary arterial hypertension (PAH) causes profound functional limitations
and poor quality of life. Yet, there is only a limited literature available on the role of exercise …

[HTML][HTML] Promoting healthy lifestyles using information technology during the COVID-19 pandemic

S Dixit, G Nandakumar - Reviews in cardiovascular medicine, 2021 - imrpress.com
In this pandemic era there exist a relationship between a sedentary lifestyle during lockdown
with periods of anxiety and stress among the population. Moreover, the population with …

Understanding and improving cardiovascular health: an update on the American Heart Association's concept of cardiovascular health

CM Shay, HS Gooding, R Murillo, R Foraker - Progress in cardiovascular …, 2015 - Elsevier
Abstract The American Heart Association's 2020 Strategic Impact Goal is “By 2020, to
improve the cardiovascular health of all Americans by 20% while reducing deaths from …