How the LiveWell Dorset lifestyle behaviour change service influences older adults’ physical activity behaviour: A generic qualitative study

BACKGROUND Non-alcoholic fatty liver disease (NAFLD) is linked to excess calorie consumption, physical inactivity and being overweight. Patients with NAFLD can halt or decelerate progression, and potentially reverse their condition by changing their lifestyle behaviour. National and international guidelines recommend the use of lifestyle interventions, however there remains a discordance between published guidelines and clinical practice. This is primarily due to a lack of NAFLD-specific lifestyle interventions to support weight loss and improve liver function. OBJECTIVE To use Intervention Mapping to systematically develop a digital intervention to support patients with NAFLD to initiate and maintain changes to their dietary and physical activity behaviour to promote weight loss. METHODS Intervention Mapping consisted of 6 steps. A needs assessment with primary and secondary healthcare professionals and patients with NAFLD (step 1). Identification of the social cognitive determinants of change and behavioural outcomes of the intervention (step 2). Linking social cognitive determinants of behavioural outcomes with behaviour change techniques to effectively target dietary and physical activity behaviour (step 3). Step 4 involved the development of a prototype digital intervention that integrated the strategies from step 3, and the information content identified as important for improving knowledge and skills from steps 1 and 2. Step 5 involved development of an implementation plan with a digital provider of lifestyle behaviour change programmes to NHS patients using their delivery platform and lifestyle coaches. Finally, step 6 involved piloting the digital intervention with patients to obtain data on access, usability and content. RESULTS A digital intervention was developed consisting of eight modules, self-regulatory tools and provision of telephone support by trained lifestyle coaches to help facilitate behavioural intention, enactment and maintenance. A commercial provider of digital lifestyle behaviour change programmes enrolled 16 patients with NAFLD to the prototype intervention for 12 consecutive weeks. Eleven of the 16 participants successfully accessed the intervention and continued to engage with the content following initial log-in (on average four times over the piloting period). Most frequently accessed modules were “welcome to the programme”, “understanding NAFLD”, and “food and NAFLD”. Goal setting and self-monitoring tools were accessed on 22 occasions (four times per tool on average). Three out of eleven participants requested access to a lifestyle coach. CONCLUSIONS Intervention Mapping provided a systematic methodological framework to guide a theory- and evidence-informed co-design intervention development process with patients and HCPs. The digital intervention with remote support by a lifestyle coach was acceptable to patients with NAFLD and feasible to deliver. Issues with initial access, optimisation of information content and promoting the value of remote lifestyle coach support require further development ahead of future research to establish intervention effectiveness. CLINICALTRIAL

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

10.2196/preprints.23290 ◽

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.

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Active women over 50: study protocol for RCT of a low-dose information and support program to promote physical activity behaviour change

BMC Public Health ◽

10.1186/s12889-019-7514-6 ◽

2019 ◽

Vol 19 (1) ◽

Cited By ~ 2

Author(s):

Geraldine Wallbank ◽

Catherine Sherrington ◽

Colleen G. Canning ◽

Leanne Hassett ◽

Roberta Shepherd ◽

...

Keyword(s):

Physical Activity ◽

Behaviour Change ◽

Study Protocol ◽

Low Dose ◽

Physical Activity Behaviour ◽

Support Program ◽

Dose Information ◽

Activity Behaviour

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Systematic review and meta-analysis of maintenance of physical activity behaviour change in cancer survivors

International Journal of Behavioral Nutrition and Physical Activity ◽

10.1186/s12966-019-0787-4 ◽

2019 ◽

Vol 16 (1) ◽

Cited By ~ 24

Author(s):

Chloe Grimmett ◽

Teresa Corbett ◽

Jennifer Brunet ◽

Jonathan Shepherd ◽

Bernardine M. Pinto ◽

...

Keyword(s):

Physical Activity ◽

Systematic Review ◽

Cancer Survivors ◽

Behaviour Change ◽

Meta Analysis ◽

Physical Activity Behaviour ◽

Activity Behaviour

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Self-Reported Impact of the COVID-19 Pandemic on Nutrition and Physical Activity Behaviour in Dutch Older Adults Living Independently

Nutrients ◽

10.3390/nu12123708 ◽

2020 ◽

Vol 12 (12) ◽

pp. 3708 ◽

Cited By ~ 1

Author(s):

Marjolein Visser ◽

Laura A. Schaap ◽

Hanneke A. H. Wijnhoven

Keyword(s):

Physical Activity ◽

Older Adults ◽

Negative Impact ◽

Functional Limitations ◽

Physical Activity Behaviour ◽

Household Composition ◽

Longitudinal Aging Study Amsterdam ◽

Aging Study ◽

Nutrition And Physical Activity ◽

Activity Behaviour

The aim was to explore the self-reported impact of the COVID-19 pandemic on nutrition and physical activity behaviour in Dutch older adults and to identify subgroups most susceptible to this impact. Participants (N = 1119, aged 62–98 y, 52.8% female) of the Longitudinal Aging Study Amsterdam living independently completed a COVID-19 questionnaire. Questions on diagnosis, quarantine and hospitalization were asked, as well as impact of the pandemic on ten nutrition and physical activity behaviours. Associations of pre-COVID-19 assessed characteristics (age, sex, region, household composition, self-rated health, BMI, physical activity, functional limitations) with reported impact were tested using logistic regression analyses. About half of the sample (48.3–54.3%) reported a decrease in physical activity and exercise due to the pandemic. An impact on nutritional behaviour predisposing to overnutrition (e.g., snacking more) was reported by 20.3–32.4%. In contrast, 6.9–15.1% reported an impact on behaviour predisposing to undernutrition (e.g., skipping warm meals). Those who had been in quarantine (n = 123) more often reported a negative impact. Subgroups with higher risk of impact could be identified. This study shows a negative impact of the COVID-19 pandemic on nutrition and physical activity behaviour of many older adults, which may increase their risk of malnutrition, frailty, sarcopenia and disability.

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