Results 91 to 100 of about 2,337,722 (307)

Frequency and trends in healthy lifestyle factors by relationship status adjusted for other healthy lifestyle factors.

open access: yes, 2018
Frequency and trends in healthy lifestyle factors by relationship status adjusted for other healthy lifestyle factors.
Amanda L. Rebar (3804835)   +5 more
core   +1 more source

Incident Comorbid Diabetes and Outcomes in Multiple Sclerosis: An English Population‐Based Cohort Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To compare the incidence of diabetes mellitus and its associations with hospitalisation and mortality in adults with multiple sclerosis (MS) and matched controls. Methods Using English primary care data from the Clinical Practice Research Datalink, linked to hospital and mortality records, we matched adults with MS with up to 10 ...
Yolanda Lau   +8 more
wiley   +1 more source

Prevalence and Incidence of Abdominal Obesity and Cardiometabolic Risk in Early Adolescence

open access: yesThe Journal of Clinical Hypertension
Abdominal obesity and related cardiometabolic risk (CMR) factors frequently begin in adolescence and contribute to long‑term health burden, yet longitudinal trajectories in U.S. youth are poorly characterized.
Augusto César F. De Moraes   +4 more
doaj   +1 more source

Promoting Physical Activity and Reducing Sedentary Behavior in Adults with Type 2 Diabetes: Study Protocol of the DIA/01 Randomized Trial

open access: yesDiabetology
Background: Sedentary behavior is a major modifiable risk factor for chronic metabolic disorders, particularly type 2 diabetes mellitus (T2DM). Despite recommendations promoting regular physical activity (PA), adherence remains low.
Roberto Pippi   +11 more
doaj   +1 more source

Healthy lifestyle among Malaysian students [PDF]

open access: yes, 2023
Healthy lifestyle have been a major concern for Malaysian government. Many activities and campaign has been done to promote healthy lifestyle among Malaysian people. There are various factors that influence a healthy lifestyle.
Mohd Noramin, Nur Nasuha   +3 more
core  

Parkinson Disease Subtype Stability and Eventual Convergence

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Previous research identified distinct Parkinson disease (PD) clinical subtypes of “Motor Only,” “Psychiatric & Motor,” and “Cognitive & Motor” based on comprehensive, multidomain classification. Whether these subtypes reflect distinct trajectories or progressive disease stages remains unknown.
Laura M. Rosok   +10 more
wiley   +1 more source

Examining the Gaze Behaviour and Decision‐Making of Field Hockey Players In Situ

open access: yesEuropean Journal of Sport Science
Gaze behaviour is associated with decision‐making in team sports. For instance, the final fixation of basketball players typically reflects the decision they make.
Bente M. van Dijk   +5 more
doaj   +1 more source

Persuasive applications for the healthy lifestyle [PDF]

open access: yesProceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia, 2017
People spend a large portion of time at their workplace and henceforth, need actions to recharge their mind and body. Therefore, it is important to highlight on health promotion activities in the workplace that focus on changing personal health behaviours such as diet.
openaire   +3 more sources

Perceptions of healthy lifestyle

open access: yes
Perceptions of health lifestyle assesses the perception of the reasons for wanting a healthy lifestyle, for example: "I would like to have a healthy lifestyle, because I find it enjoyable", "it is important and I care about my health", etc.
The Generation R Study
core   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

open access: yesArthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah   +4 more
wiley   +1 more source

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