scholarly journals Determinants of Behaviour Change in a Multi-Component Telemonitoring Intervention for Community-Dwelling Older Adults

Nutrients ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 1062 ◽  
Author(s):  
Marije van Doorn-van Atten ◽  
Lisette de Groot ◽  
Jeanne de Vries ◽  
Annemien Haveman-Nies
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Behaviour Change ◽  
Diet Quality ◽  
Community Dwelling ◽  
Control Group ◽  
Behaviour Change Techniques ◽  
Self Monitoring ◽  
Behavioural Determinants

Optimal diet quality and physical activity levels are essential for healthy ageing. This study evaluated the effects of a multi-component telemonitoring intervention on behavioural determinants of diet quality and physical activity in older adults, and assessed the mediating role of these determinants and two behaviour change techniques in the intervention’s effects. A non-randomised controlled design was used including 214 participants (average age 80 years) who were allocated to the intervention or control group based on municipality. The six-month intervention consisted of self-measurements of nutritional outcomes and physical activity, education, and follow-up by a nurse. The control group received regular care. Measurements took place at baseline, after 4.5 months and at the end of the study. The intervention increased self-monitoring and improved knowledge and perceived behavioural control for physical activity. Increased self-monitoring mediated the intervention’s effect on diet quality, fruit intake, and saturated fatty acids intake. Improved knowledge mediated the effect on protein intake. Concluding, this intervention led to improvements in behavioural determinants of diet quality and physical activity. The role of the hypothesised mediators was limited. Insight into these mechanisms of impact provides directions for future development of nutritional eHealth interventions for older adults, in which self-monitoring may be a promising behaviour change technique. More research is necessary into how behaviour change is established in telemonitoring interventions for older adults.

scholarly journals Physical Activity Level Following Resistance Training in Community-Dwelling Older Adults Receiving Home Care: Results from a Cluster-Randomized Controlled Trial

2021 ◽  
Vol 18 (13) ◽  
pp. 6682
Author(s):  
Hilde Bremseth Bårdstu ◽  
Vidar Andersen ◽  
Marius Steiro Fimland ◽  
Lene Aasdahl ◽  
Hilde Lohne-Seiler ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Resistance Training ◽  
Home Care ◽  
Community Dwelling ◽  
Activity Level ◽  
Group Differences ◽  
Control Group ◽  
Cluster Randomized ◽  
Community Dwelling Older Adults

Older adults’ physical activity (PA) is low. We examined whether eight months of resistance training increased PA level in community-dwelling older adults receiving home care. A two-armed cluster-randomized trial using parallel groups was conducted. The included participants were >70 years and received home care. The resistance training group performed resistance training using body weight, elastic bands, and water canes twice per week for eight months. The control group was informed about the national PA guidelines and received motivational talks. The ActiGraph GT3X+ accelerometer was used to estimate PA. Outcomes included total PA (counts per minute), sedentary behavior (min/day), light PA (min/day), moderate-to-vigorous PA (min/day), and steps (mean/day). Between-group differences were analyzed using multilevel linear mixed models. Twelve clusters were randomized to either resistance training (7 clusters, 60 participants) or the control group (5 clusters, 44 participants). A total of 101 participants (median age 86.0 (interquartile range 80–90) years) had valid accelerometer data and were included in the analysis. There were no statistically significant between-group differences for any of the PA outcomes after four or eight months. This study offers no evidence of increased PA level following resistance training in older adults with home care.

A Group-Based Walking Study to Enhance Physical Activity Among Older Adults: The Role of Social Engagement

2020 ◽  
pp. 016402752096361
Author(s):  
Yujun Liu ◽  
Margie E. Lachman
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Social Engagement ◽  
Treatment Condition ◽  
Social Comparisons ◽  
Text Messages ◽  
Control Group ◽  
Group Members

Objectives. The aim of this study was to explore social engagement and social comparisons as mechanisms to increase physical activity among older adults. Methods. Participants (N = 60, mean age = 65.7) were randomly assigned to one of two conditions. Participants in the treatment condition used the application to track their daily walking steps and interact via text messages with their group members for 4 weeks. Participants in the control group used the application only to track their own walking steps. Outcome variables included mean weekly steps, exercise self-efficacy, and social engagement. Results. The results revealed that participants in the experimental condition significantly increased their mean weekly steps and social engagement from the pretest to the posttest whereas the control group did not. These effects were maintained at the 1-month follow up. Discussion. The study expands our understanding of the motivational role of social engagement and social comparison in increasing PA among older adults.

scholarly journals AN MHEALTH BEHAVIORAL INTERVENTION FOR PROMOTING PHYSICAL ACTIVITY AND SLEEP IN COMMUNITY-DWELLING OLDER ADULTS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S169-S169
Author(s):  
Junxin Li ◽  
Sarah Szanton ◽  
Minhui Liu ◽  
Nada Lukkahatai ◽  
Junxin Li ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sleep Quality ◽  
Behavioral Intervention ◽  
Intervention Group ◽  
Community Dwelling ◽  
Control Group ◽  
Post Intervention ◽  
Tnf Α ◽  
Community Dwelling Older Adults

Abstract Evidence suggests physical activity (PA) improves sleep in older adults. This study examined the preliminary effect of a personalized mHealth behavioral intervention on PA and sleep in older adults. We conducted a randomized controlled pilot trial in 21 community-dwelling older adults with sleep complaints. The 24-week mHealth behavioral intervention included a 2-hour in person training session, personalized exercise prescription, real time PA self-monitoring, interactive prompts, phone consultation, and weekly financial incentives. PA and sleep were measured objectively using Actiwatch 2.0 and subjectively using questionnaires. Peripheral blood was drawn for measuring Plasma inflammatory biomarkers [interleukin 1β, 6, 8, Tumor Necrosis Factor- alpha (TNF-α), and c-reactive protein (CRP)]. Data were collected at baseline, 8-week, 16-week, and post intervention. Repeated measures ANOVA (time*group) was used to examine differences of PA and sleep across times between the two groups. Majority of participants are women (71.4%) with mean age of 73.7 (SD = 6.9). Repeated measure ANOVA showed significant (p <0.05) improvement of objective and subjective PA, objective nocturnal sleep duration, self-report sleep quality (measured by Pittsburg Sleep Quality Index and Insomnia Severity Index) and decreasing of sedentary time over times in the intervention group (n=11), compared to the control group. The intervention group showed significant reduction of plasma TNF-α and CRP levels at 16-week and post intervention. Interventions combining personalized PA and mHealth strategies may positively affect physical activity and sleep in older adults. A larger study is needed to test the efficacy of this intervention and the mechanisms associated with it.

scholarly journals Which behaviour change techniques are effective to promote physical activity and reduce sedentary behaviour in adults: a factorial randomized trial of an e- and m-health intervention

2020 ◽  
Author(s):  
Helene Schroé ◽  
Delfien Van Dyck ◽  
Annick De Paepe ◽  
Louise Poppe ◽  
Wen Wei Loh ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Behaviour Change ◽  
Action Planning ◽  
Health Intervention ◽  
Health Interventions ◽  
Behaviour Change Techniques ◽  
Self Monitoring ◽  
Coping Planning ◽  
The Impact

Abstract BackgroundE- and m-health interventions are promising to change health behaviour. Many of these interventions use a large variety of behaviour change techniques (BCTs), but it’s not known which BCTs or which combination of BCTs contribute to their efficacy. Therefore, this study investigated the efficacy of three BCTs (i.e. action planning, coping planning and self-monitoring) and their combinations on physical activity (PA) and sedentary behaviour (SB).MethodsIn a 2(action planning: present vs absent) x2(coping planning: present vs absent) x2(self-monitoring: present vs absent) factorial trial, 473 adults from the general population used the self-regulation based e- and m-health intervention ‘MyPlan2.0’ for five weeks. All combinations of BCTs were considered, resulting in eight groups. Participants selected their preferred target behaviour, either PA (n = 335,age = 35.8,28.1% men) or SB (n = 138,age = 37.8,37.7% men), and were then randomly allocated to the experimental groups. Levels of PA (MVPA in minutes/week) or SB (total sedentary time in hours/day) were assessed at baseline and post-intervention using self-reported questionnaires. Linear mixed-effect models were fitted to assess the impact of the different combinations of the BCTs on PA and SB.ResultsFirst, overall efficacy of each BCT was examined. The delivery of self-monitoring increased PA (t = 2.735,p = 0.007) and reduced SB (t=-2.573,p = 0.012) compared with no delivery of self-monitoring. Also, the delivery of coping planning increased PA (t = 2.302,p = 0.022) compared with no delivery of coping planning. Second, we investigated to what extent adding BCTs increased efficacy. Using the combination of the three BCTs was most effective to increase PA (x2 = 8,849,p = 0.003) whereas the combination of action planning and self-monitoring was most effective to decrease SB (x2 = 3.918,p = 0.048). To increase PA, action planning was always more effective in combination with coping planning (x2 = 5.590,p = 0.014;x2 = 17.722,p < 0.001;x2 = 4.552,p = 0.033) compared with using action planning without coping planning. Of note, the use of action planning alone reduced PA compared with using coping planning alone (x2 = 4.389,p = 0.031) and self-monitoring alone (x2 = 8.858,p = 003), respectively.ConclusionsThis study provides indications that different (combinations of) BCTs may be effective to promote PA and reduce SB. More experimental research to investigate the effectiveness of BCTs is needed, which can contribute to improved design and more effective e- and m-health interventions in the future.Trial registrationThis study was preregistered as a clinical trial (ID number: NCT03274271). Release date: 20 October 2017, http://clinicaltrials.gov/ct2/show/NCT03274271

An mHealth-Facilitated Personalized Intervention for Physical Activity and Sleep in Community-Dwelling Older Adults

2021 ◽  
pp. 1-10
Author(s):  
Junxin Li ◽  
Sarah L. Szanton ◽  
Miranda V. McPhillips ◽  
Nada Lukkahatai ◽  
Grace W. Pien ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Financial Incentives ◽  
Pilot Trial ◽  
Intervention Group ◽  
Community Dwelling ◽  
Control Group ◽  
Subjective Sleep Quality ◽  
Community Dwelling Older Adults ◽  
Personalized Intervention

This randomized controlled pilot trial tested the preliminary effect of a 24-week mHealth-facilitated, personalized intervention on physical activity (PA) and sleep in 21 community-dwelling older adults. The intervention included a personalized exercise prescription, training, goal setting, and financial incentives. mHealth strategies, including self-monitoring, motivational messages, activity reminders, and phone coaching, were used to facilitate PA participation. PA and sleep were measured using actigraphy and questionnaires at baseline and 8-, 16-, and 24-week visits. Participants in the intervention group had lower objective PA levels at 24 weeks than at 8 and 16 weeks, although levels of PA remained higher than at baseline. Compared with the control group, the intervention increased PA at 8, 16, and 24 weeks; improved subjective sleep quality at 16 and 24 weeks; and increased actigraphy-measured sleep duration and sleep efficiency at 24 weeks. mHealth PA interventions may benefit PA and sleep in older adults. Strategies for maintaining long-term PA behavioral changes are needed.

scholarly journals Increasing physical activity in older adults using STARFISH, an interactive smartphone application (app); a pilot study

2017 ◽  
Vol 4 ◽  
pp. 205566831769623 ◽  
Author(s):  
Lorna Paul ◽  
Stephen Brewster ◽  
Sally Wyke ◽  
Angus K McFadyen ◽  
Naveed Sattar ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Pilot Study ◽  
Controlled Trial ◽  
Objective Measure ◽  
Smartphone Application ◽  
Behaviour Change Techniques ◽  
Self Monitoring ◽  
Steps Per Day ◽  
Randomised Controlled

Background Increasing physical activity in older adults has preventative and therapeutic health benefits. We have developed STARFISH, a smartphone application, to increase physical activity. This paper describes the features of STARFISH, presents the views of older users on the acceptability and usability of the app and reports the results of a six week pilot study of the STARFISH app in older adults. Methods The operationalisation of the behaviour change techniques (BCTs) within the STARFISH app was mapped against the BCT Taxonomy of Michie et al. Sixteen healthy older adults (eight women and eight men; age 71.1 ± 5.2 years) used the app, in groups of four, for six weeks. Focus groups explored the user experience and objective measure of steps per day recorded. Results Participants were very positive about using the STARFISH app, in particular the embedded BCTs of self-monitoring, feedback and social support (in the form of group rewards). Objective step data, available for eight participants, showed that step counts increased by an average of 14% ( p = 0.077, d = 0.56). Conclusion The STARFISH app was acceptable and straightforward to use for older adults. STARFISH has potential to increase physical activity in older adults; however, a fully powered randomised controlled trial is required.

Exploring the Role of Housing Type on Physical Activity and Health Status in Community-Dwelling Older Adults

2010 ◽  
Vol 34 (2) ◽  
pp. 98-114 ◽  
Author(s):  
Elizabeth L. Harrison ◽  
Koren L. Fisher ◽  
Joshua A. Lawson ◽  
Karen E. Chad ◽  
M. Suzanne Sheppard ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Health Status ◽  
Community Dwelling ◽  
Housing Type ◽  
Community Dwelling Older Adults

scholarly journals Group-Based Nutrition Interventions to Promote Health and Mobility in Community-Dwelling Older Adults: A Systematic Review

2021 ◽  
Author(s):  
Kylie Teggart ◽  
Rebecca Ganann ◽  
Davneet Sihota ◽  
Caroline Moore ◽  
Heather Keller ◽  
...  
Keyword(s):  
Older Adults ◽  
Nutrition Education ◽  
Behaviour Change ◽  
Food Access ◽  
Critical Appraisal ◽  
Risk Of Bias ◽  
Community Dwelling ◽  
Behaviour Change Techniques ◽  
Nutrition Interventions ◽  
Community Dwelling Older Adults

Abstract Objective: To identify the efficacy of group-based nutrition interventions to increase healthy eating, reduce nutrition risk, improve nutritional status, and improve physical mobility among community-dwelling older adults.Design: Systematic review. Electronic databases MEDLINE, CINAHL, EMBASE, PsycINFO, and Sociological Abstracts were searched on July 15, 2020, for studies published in English since January 2010. Study selection, critical appraisal (using the Joanna Briggs Institute’s critical appraisal tools), and data extraction were performed in duplicate by two independent reviewers.Setting: Nutrition interventions delivered to groups in community-based settings were eligible. Studies delivered in acute or long-term care settings were excluded.Participants: Community-dwelling older adults aged 55+ years. Studies targeting specific disease populations or promoting weight loss were excluded.Results: Thirty-one experimental and quasi-experimental studies with generally unclear-high risk of bias were included. A broad range of interventions were identified, including nutrition education with behaviour change techniques (e.g., goal setting, interactive cooking demonstrations) (n=21), didactic nutrition education (n=4), interactive nutrition education (n=2), food access (n=2), and nutrition education with behaviour change techniques and food access (n=2). Group-based nutrition education with behaviour change techniques demonstrated the most promise in improving food and fluid intake, nutritional status, and healthy eating knowledge compared to baseline or control. The impact on mobility outcomes was unclear. Conclusions: Our findings should be interpreted with caution related to generally low certainty, unclear-high risk of bias, and high heterogeneity across interventions and outcomes in this body of literature. Quality research in group-based nutrition education for older adults is needed.

scholarly journals Behaviour change techniques to facilitate physical activity in older adults: what and how

2017 ◽  
Vol 38 (12) ◽  
pp. 2590-2616 ◽  
Author(s):  
URSKA ARNAUTOVSKA ◽  
FRANCES O'CALLAGHAN ◽  
KYRA HAMILTON
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Behaviour Change ◽  
Autonomy Support ◽  
Low Cost ◽  
Informed Choice ◽  
Behaviour Change Techniques ◽  
Programme Implementation ◽  
Key Aspects ◽  
And Coping

ABSTRACTPhysical inactivity in older adults presents a significant problem within modern societies globally. Using a mixed-method approach, this study explored strategies for the development and delivery of physical activity (PA) interventions by investigating what behaviour change techniques (BCTs) are useful, and how these techniques should be implemented to be feasible for older adults. Sixty-six older adults completed a survey indicating the most useful BCTs, mapping on to motivational, volitional and automatic factors. Of these, 48 older adults participated in an interview exploring strategies for a PA intervention targeted at older adults. The most useful BCT identified in the survey was autonomy support (61.3%), followed by instruction to perform the behaviour (43.5%) and having a credible source of information about PA (42.6%). The key themes discussed in the interviews included providing support in making an informed choice, instruction on how to perform PA, information about health consequences, social support, goal setting, action and coping plans, behavioural demonstration and practice, and monitoring PA. The interviews also revealed key aspects of programme implementation including face-to-face delivery, followed up with additional materials; low cost; age-appropriate PA level; and individualised approach. Interventions assisting older adults in increasing their PA participation across a range of settings should incorporate BCTs targeting multiple processes, while tailoring their delivery to older adults’ preferences to ensure their feasibility in supporting regular PA engagement.

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