scholarly journals A study of the travel-activity behaviour of elders by activity-based approach

2015 ◽  
Author(s):  
C.-W. Chu ◽  
H.-C. Hsia ◽  
K.-Y. Yeh
Keyword(s):  
Activity Behaviour

NESTORE Ontology: a Multi-Domain Semantic Tool for the Characterization of Older Adults Status and Behaviour to Promote Healthy Ageing by IoT Systems (Preprint)

2020 ◽  
Author(s):  
Alfonso Mastropietro ◽  
Filippo Palumbo ◽  
Silvia Orte ◽  
Michele Girolami ◽  
Francesco Furfari ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Mental Status ◽  
Scientific Knowledge ◽  
Social Behaviour ◽  
Physical Activity Behaviour ◽  
Healthy Ageing ◽  
Physiological Status ◽  
Ageing Population ◽  
Activity Behaviour

BACKGROUND The constant progression in number and share of the ageing population will likely have deep effects in most of the industrialized countries. The Internet of Things (IoT) paradigm can play a key role in facilitating independent living of the ageing population thus trying to reduce the burden on the society. Considering that ageing is a multi-factorial physiological process, the development of novel IoT systems, tools and devices, specifically targeted to older people, must be based on a holistic framework built on robust scientific knowledge in different scientific domains. OBJECTIVE A novel semantic formalization was developed, based on a multidomain healthy ageing model, to support structuring and standardizing heterogeneous scientific knowledge about ageing. The main aim of the paper is to present the new NESTORE ontology, with the purpose thus extending the available ontologies provided by universAAL-IoT (uAAL-IoT). METHODS Well-assessed scientific knowledge, specifically selected to target older adults aged between 65 and 75, was formalized into a holistic model using a multi-domain approach including three main different dimensions related to well-being: (i) Physiological Status and Physical Activity Behaviour, (ii) Nutrition, and (iii) Cognitive and Mental Status and Social Behaviour. Based on this model, within the NESTORE H2020 project, a new ontology was developed in the uAAL-IoT framework, which provides modelling tools and a set of core ontologies. RESULTS The NESTORE ontologies cover all the needed concepts to represent 5 significant domains of ageing. In total, 12 sub-ontologies were modelled with more than 60 classes and sub-classes referenced among them by using more than 100 relations and around 20 enumerations. NESTORE increases the uAAL ontologies collection by 40% and expand the uAAL domain usage for Physiological Status and Physical Activity Behaviour (8 ontologies), Nutrition (3 ontologies) and Cognitive and Mental Status and Social Behaviour (4 ontologies). CONCLUSIONS NESTORE ontology provides innovation both in terms of semantic content and technological approach. The thoroughly use of this ontology can support the development of a decision support system, to promote healthy ageing, with the capacity to do dynamic multi-scale modelling of user-specific data based on the semantic annotations of users’ profile.

scholarly journals Effects of a structured counselling-based intervention to improve physical activity behaviour of adolescents and young adult cancer survivors – the randomized phase II Motivate AYA – MAYA trial

2021 ◽  
pp. 026921552199797
Author(s):  
Jannike Salchow ◽  
Barbara Koch ◽  
Julia Mann ◽  
Julia von Grundherr ◽  
Simon Elmers ◽  
...  
Keyword(s):  
Physical Activity ◽  
Young Adult ◽  
Cancer Survivors ◽  
Intervention Group ◽  
Physical Activity Behaviour ◽  
Post Intervention ◽  
Young Adult Cancer Survivors ◽  
Adult Cancer Survivors ◽  
Young Adult Cancer ◽  
Activity Behaviour

Objective: To explore whether a structured counselling-based intervention increases vigorous physical activity behaviour of adolescent and young adult cancer survivors. Design: Randomized controlled phase II trial. Setting: University Cancer Center Hamburg, Germany. Subjects: Eighty-nine participants (mean age 24.1 ± 6.3) were randomized to control ( n = 44) or intervention group ( n = 45). Interventions: The intervention group was consulted about physical activity behaviour via interview (week 0), and telephone counselling (weeks 1, 3 and 12). The control group only received general physical activity guidelines for cancer survivors (week 0). Main measures: The primary outcome was the rate of participants with ⩾9 metabolic equivalent (MET)-hours per week of vigorous activity post-intervention, measured with the International Physical Activity Questionnaire. Secondary outcomes included assessing physical activity behaviour (e.g. amount and type of physical activity) and quality of life. Assessments were completed in weeks 0 (baseline), 12 (post-intervention) and 52 (follow-up). Results: Sixty-nine participants completed the post-intervention- and 47 the follow-up-assessment. The rate of participants performing vigorous physical activity increased from baseline to post-intervention for both without differing significantly ( P = 0.541). Both increased their total metabolic equivalent from baseline to post-intervention (intervention group from 55.2 ± 43.7 to 61.7 ± 29.4, control group from 75.3 ± 81.4 to 88.3 ± 80.2). At follow-up the intervention group (73.7 ± 80.2) was more active than baseline when compared to the control group (78.5 ± 50.0). Conclusions: A structured counselling-based physical activity intervention did not significantly impact the level of vigorous physical activity behaviour in adolescent and young adult cancer survivors.

scholarly journals Cox regression survival analysis with compositional covariates: Application to modelling mortality risk from 24-h physical activity patterns

2019 ◽  
Vol 29 (5) ◽  
pp. 1447-1465 ◽  
Author(s):  
DE McGregor ◽  
J Palarea-Albaladejo ◽  
PM Dall ◽  
K Hron ◽  
SFM Chastin
Keyword(s):  
Public Health ◽  
Physical Activity ◽  
Survival Analysis ◽  
Regression Model ◽  
Cox Regression ◽  
Public Health Problem ◽  
Sitting Time ◽  
Cox Regression Model ◽  
Log Ratio ◽  
Activity Behaviour

Survival analysis is commonly conducted in medical and public health research to assess the association of an exposure or intervention with a hard end outcome such as mortality. The Cox (proportional hazards) regression model is probably the most popular statistical tool used in this context. However, when the exposure includes compositional covariables (that is, variables representing a relative makeup such as a nutritional or physical activity behaviour composition), some basic assumptions of the Cox regression model and associated significance tests are violated. Compositional variables involve an intrinsic interplay between one another which precludes results and conclusions based on considering them in isolation as is ordinarily done. In this work, we introduce a formulation of the Cox regression model in terms of log-ratio coordinates which suitably deals with the constraints of compositional covariates, facilitates the use of common statistical inference methods, and allows for scientifically meaningful interpretations. We illustrate its practical application to a public health problem: the estimation of the mortality hazard associated with the composition of daily activity behaviour (physical activity, sitting time and sleep) using data from the U.S. National Health and Nutrition Examination Survey (NHANES).

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