Multilevel mHealth Intervention Increases Physical Activity of Older Adults Living in Retirement Community

2021 ◽  
pp. 1-7
Author(s):  
Katie R. Hosteng ◽  
Jacob E. Simmering ◽  
Linnea A. Polgreen ◽  
James F. Cremer ◽  
Alberto M. Segre ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Healthy Aging ◽  
Physical Activity Intervention ◽  
Outcome Expectations ◽  
Retirement Community ◽  
Mhealth Intervention ◽  
Steps Per Day ◽  
Evaluation Survey

Background: Regular physical activity is crucial for healthy aging, but older adults are the least active age group. This study explored the feasibility, acceptability, and efficacy of a multilevel mHealth intervention for increasing physical activity of older adults living in a retirement community. Methods: Participants included 54 older adults (mean age = 81.2 y, 77.8% female, 98.1% white) living in a retirement community. Participants received a Fitbit Zip and access to a multilevel mHealth physical activity intervention (MapTrek Residential) for 8 weeks. Physical activity (in steps per day) and intervention compliance (days worn) were measured objectively with the Fitbit for 12 weeks (8-wk intervention plus 4-wk follow-up). Psychosocial outcomes (social support, self-efficacy, and outcome expectations) were assessed at baseline and 8 weeks. Acceptability outcomes were assessed with an open-ended process evaluation survey and focus groups. Descriptive statistics and linear mixed models were used to examine intervention effects. Results: Participants increased daily steps from 5438 steps per day at baseline (95% CI, 4620 to 6256) to 6201 steps per day (95% CI, 5359 to 7042) at week 8 (P < .0001) but this was not maintained at 12 weeks (P = .92). Conclusions: Our multilevel mHealth physical activity intervention was effective for increasing physical activity older adults over 8 weeks. Additional research focused on maintaining physical activity gains with this approach is warranted.

scholarly journals Learning From Older Adults to Promote Independent Physical Activity Using Mobile Health (mHealth)

2021 ◽  
Vol 9 ◽  
Author(s):  
Camille Nebeker ◽  
Zvinka Z. Zlatar
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Data Management ◽  
Study Design ◽  
Mobile Health ◽  
Healthy Aging ◽  
Physical Activity Intervention ◽  
Digital Health ◽  
Data Access ◽  
Health Study

Background: Healthy aging is critically important for several reasons, including economic impact and quality of life. As the population of older adults rapidly increases, identifying acceptable ways to promote healthy aging is a priority. Technologies that can facilitate health promotion and risk reduction behaviors may be a solution, but only if these mobile health (mHealth) tools can be used by the older adult population. Within the context of a physical activity intervention, this study gathered participant's opinions about the use of an mHealth device to learn about acceptance and to identify areas for improvement.Methods: The Independent Walking for Brain Health study (NCT03058146) was designed to evaluate the effectiveness of a wearable mHealth technology in facilitating adherence to a physical activity prescription among participants in free-living environments. An Exit Survey was conducted following intervention completion to gauge participant's perceptions and solicit feedback regarding the overall study design, including exercise promotion strategies and concerns specific to the technology (e.g., privacy), that could inform more acceptable mHealth interventions in the future. The Digital Health Checklist and Framework was used to guide the analysis focusing on the domains of Privacy, Access and Usability, and Data Management.Results: Participants (n = 41) were in their early 70's (mean = 71.6) and were predominantly female (75.6%) and White (92.7%). Most were college educated (16.9 years) and enjoyed using technology in their everyday life (85.4%). Key challenges included privacy concerns, device accuracy, usability, and data access. Specifically, participants want to know what is being learned about them and want control over how their identifiable data may be used. Overall, participants were able to use the device despite the design challenges.Conclusions: Understanding participant's perceptions of the challenges and concerns introduced by mHealth is important, as acceptance will influence adoption and adherence to the study protocol. While this study learned from participants at studycompletion, we recommend that researchers consider what might influence participant acceptance of the technology (access, data management, privacy, risks) and build these into the mHealth study design process. We provide recommendations for future mHealth studies with older adults.

scholarly journals Effect of an mHealth Intervention Using a Pedometer App With Full In-Person Counseling on Body Composition of Overweight Adults: Randomized Controlled Weight Loss Trial

10.2196/16999 ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. e16999
Author(s):  
Alberto Hernández-Reyes ◽  
Fernando Cámara-Martos ◽  
Rafael Molina-Luque ◽  
Rafael Moreno-Rojas
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Weight Control ◽  
Intervention Group ◽  
Control Program ◽  
Mhealth Intervention ◽  
Steps Per Day ◽  
Weight Control Program ◽  
Overweight Adults

Background In clinical practice, it is difficult to convey the benefits of sustained physical activity to adult patients with excess weight or obesity. For this purpose, a goal-setting walking prescription may be an effective strategy. Objective This study aimed to determine the efficacy of the intervention of a pedometer app in setting a goal to reach 10,000 steps per day in adults. Methods Overweight adults (n=98; mean body mass index 32.53 [SD 4.92] kg/m2) were randomized to one of two conditions (control or intervention). Both groups downloaded a pedometer app that recorded their daily step counts and were given a daily walking goal of 10,000 steps. Subjects participated in a 24-week in-person behavioral weight control program and were asked to monitor their daily levels using the pedometer app. Baseline data were recorded and followed up weekly. Only the intervention group had structured information delivery, a personalized physical activity prescription, and follow-up on number of steps per day. Results The results show that regardless of sex or age, prescribing walking increased the number of steps per day by 4806 step on average (standardized β coefficient=–0.813, SE=427.586, t=–11.242, P<.001). Conclusions These results could have implications for improving self-monitoring in overweight adults during periods of weight loss. Health professionals should analyze the implementation of tools that permit them to prescribe, follow up, and encourage the achievement of a goal of physical activity in overweight or obese patients. Trial Registration ClinicalTrials.gov NCT03845478; https://clinicaltrials.gov/ct2/show/NCT03845478

scholarly journals Effect of an mHealth Intervention Using a Pedometer App With Full In-Person Counseling on Body Composition of Overweight Adults: Randomized Controlled Weight Loss Trial (Preprint)

2019 ◽  
Author(s):  
Alberto Hernández-Reyes ◽  
Fernando Cámara-Martos ◽  
Rafael Molina-Luque ◽  
Rafael Moreno-Rojas
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Weight Control ◽  
Intervention Group ◽  
Control Program ◽  
Mhealth Intervention ◽  
Steps Per Day ◽  
Weight Control Program ◽  
Overweight Adults

BACKGROUND In clinical practice, it is difficult to convey the benefits of sustained physical activity to adult patients with excess weight or obesity. For this purpose, a goal-setting walking prescription may be an effective strategy. OBJECTIVE This study aimed to determine the efficacy of the intervention of a pedometer app in setting a goal to reach 10,000 steps per day in adults. METHODS Overweight adults (n=98; mean body mass index 32.53 [SD 4.92] kg/m2) were randomized to one of two conditions (control or intervention). Both groups downloaded a pedometer app that recorded their daily step counts and were given a daily walking goal of 10,000 steps. Subjects participated in a 24-week in-person behavioral weight control program and were asked to monitor their daily levels using the pedometer app. Baseline data were recorded and followed up weekly. Only the intervention group had structured information delivery, a personalized physical activity prescription, and follow-up on number of steps per day. RESULTS The results show that regardless of sex or age, prescribing walking increased the number of steps per day by 4806 step on average (standardized β coefficient=–0.813, SE=427.586, <i>t</i>=–11.242, <i>P</i>&lt;.001). CONCLUSIONS These results could have implications for improving self-monitoring in overweight adults during periods of weight loss. Health professionals should analyze the implementation of tools that permit them to prescribe, follow up, and encourage the achievement of a goal of physical activity in overweight or obese patients. CLINICALTRIAL ClinicalTrials.gov NCT03845478; https://clinicaltrials.gov/ct2/show/NCT03845478

scholarly journals Associação entre uso de internet e manter-se ativo no lazer, estudo longitudinal EpiFloripa Idoso

2018 ◽  
Vol 20 (2) ◽  
pp. 134-145
Author(s):  
Rodrigo De Rosso Krug ◽  
André Junqueira Xavier ◽  
Eleonora D'Orsi
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Internet Use ◽  
Leisure Time ◽  
Healthy Aging ◽  
Relative Risk Ratio ◽  
Physically Active ◽  
Active Leisure ◽  
Leisure Physical Activity

The aim of this study was to verify the association between internet use and physically active leisure time during four years in older adults included in the “EpiFloripa Idoso” study, a population and longitudinal study with older adults (60+) residents in Florianópolis, Brazil, interviewed in 2009-10 (baseline) and 2013-14 (follow-up). The outcome was self-reported level of leisure physical activity, measured by the long version of the International Physical Activity Questionnaire, classified as remaining inactive; becoming inactive; becoming active; remaining active. Covariates were: gender; age (in years); per capita income in Reais; schooling (years of study); internet use longitudinally measured (remaining not using, stopping using, starting using, remaining using); and cognitive decline at baseline assessed by the Mini Mental State Examination. Relative risk ratio (RRR) adjusted by independent variables were estimated. Participants were 1,705 older adults at baseline and 1,197 at follow-up. The prevalence of remaining physically active during leisure time was 15.8% (95% CI 12.6 to 19.0) and was associated with being male (RRR = 2.14, 95% CI 1.50 to 3.05), less schooling (RRR = 0.99, 95% CI 0.99 to 0.99), starting using (RRR = 4.1, 95% CI 2.06 to 8.55) and remaining using the internet (RRR = 5.52, 95% CI 3.25 to 9.36). This study can contribute to public policies for active and healthy aging through stimulation of internet use, since this technological behavior can help increasing the level of leisure physical activity in this population.

scholarly journals Neighbourhood walkability and physical activity: moderating role of a physical activity intervention in overweight and obese older adults with metabolic syndrome

2020 ◽  
Author(s):  
Antoni Colom ◽  
Suzanne Mavoa ◽  
Maurici Ruiz ◽  
Julia Wärnberg ◽  
Josep Muncunill ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Metabolic Syndrome ◽  
Physical Activity Intervention ◽  
Control Group ◽  
Active Ageing ◽  
Intervention Programme ◽  
Walkability Index ◽  
Neighbourhood Walkability

Abstract Background While urban built environments might promote active ageing, an infrequently studied question is how the neighbourhood walkability modulates physical activity changes during a physical activity intervention programme in older adults. We assessed the influence of objectively assessed neighbourhood walkability on the change in physical activity during the intervention programme used in the ongoing PREvención con DIeta MEDiterránea (PREDIMED)-Plus trial. Method The present study involved 228 PREDIMED-Plus senior participants aged between 55 and 75, recruited in Palma de Mallorca (Spain). Overweight/obese older adults with metabolic syndrome were randomised to an intensive weight-loss lifestyle intervention or a control group. A walkability index (residential density, land use mix, intersections density) was calculated using geographic information systems (1 km sausage-network buffer). Physical activity was assessed using accelerometer and a validated questionnaire, at baseline and two follow-up visits (6-months and 1-year later). Generalised additive mixed models were fitted to estimate the association between the neighbourhood walkability index and changes in physical activity during follow-up. Results Higher neighbourhood walkability (1 z-score increment) was associated with moderate-to-vigorous accelerometer assessed physical activity duration, (β = 3.44; 95% CI = 0.52; 6.36 min/day). When analyses were stratified by intervention arm, the association was only observed in the intervention group (β = 6.357; 95% CI = 2.07;10.64 min/day) (P for interaction = 0.055). Conclusions The results indicate that the walkability of the neighbourhood could support a physical activity intervention, helping to maintain or increase older adults’ physical activity.

scholarly journals A Case for Promoting Movement Medicine: Preventing Disability in the LIFE Randomized Controlled Trial

2019 ◽  
Vol 74 (11) ◽  
pp. 1821-1827 ◽  
Author(s):  
Jason Fanning ◽  
W Jack Rejeski ◽  
Shyh-Huei Chen ◽  
Barbara J Nicklas ◽  
Michael P Walkup ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
At Risk ◽  
Health Education ◽  
Physical Activity Intervention ◽  
Controlled Trial ◽  
Vigorous Physical Activity ◽  
Treatment Regimens ◽  
To Receive

Abstract Background The movement profile of older adults with compromised function is unknown, as is the relationship between these profiles and the development of major mobility disability (MMD)—a critical clinical outcome. We first describe the dimensions of movement in older adults with compromised function and then examine whether these dimensions predict the onset of MMD. Methods Older adults at risk for MMD (N = 1,022, mean age = 78.7 years) were randomized to receive a structured physical activity intervention or health education control. We assessed MMD in 6-month intervals (average follow-up of 2.2 years until incident MMD), with activity assessed at baseline, 6-, 12- and 24-month follow-up via accelerometry. Results A principal components analysis of 11 accelerometer-derived metrics yielded three components representing lifestyle movement (LM), extended bouts of moderate-to-vigorous physical activity (MVPA), and stationary body posture. LM accounted for the greatest proportion of variance in movement (53%). Within health education, both baseline LM (HR = 0.74; 95% CI 0.62 to 0.88) and moderate-to-vigorous physical activity (HR = 0.69; 95% CI 0.54 to 0.87) were associated with MMD, whereas only LM was associated with MMD within physical activity (HR = 0.74; 95% CI 0.61 to 0.89). There were similar nonlinear relationships present for LM in both physical activity and health education (p < .04), whereby risk for MMD was lower among individuals with higher levels of LM. Conclusions Both LM and moderate-to-vigorous physical activity should be central in treatment regimens for older adults at risk for MMD. Trial Registration clinicaltrials.gov Identifier NCT01072500

scholarly journals Effects of a DVD-delivered randomized controlled physical activity intervention on functional health in cancer survivors

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Elizabeth A. Salerno ◽  
Neha P. Gothe ◽  
Jason Fanning ◽  
Lindsay L. Peterson ◽  
Graham A. Colditz ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Cancer Survivors ◽  
Physical Activity Intervention ◽  
Physical Activity Program ◽  
Functional Health ◽  
Link Type ◽  
Time Interaction ◽  
Activity Program ◽  
Group Time

Abstract Background Supervised physical activity interventions improve functional health during cancer survivorship, but remain costly and inaccessible for many. We previously reported on the benefits of a DVD-delivered physical activity program (FlexToBa™) in older adults. This is a secondary analysis of the intervention effects among cancer survivors in the original sample. Methods Low active, older adults who self-reported a history of cancer (N = 46; M time since diagnosis = 10.7 ± 9.4 years) participated in a 6-month, home-based physical activity intervention. Participants were randomized to either the DVD-delivered physical activity program focused on flexibility, toning, and balance (FlexToBa™; n = 22) or an attentional control condition (n = 24). Physical function was assessed by the Short Physical Performance Battery (SPPB) at baseline, end of intervention, and at 12 and 24 months after baseline. Results Repeated measures linear mixed models indicated a significant group*time interaction for the SPPB total score (β = − 1.14, p = 0.048), driven by improved function from baseline to six months in the FlexToBa™ group. The intervention group also had improved balance (β = − 0.56, p = 0.041) compared with controls. Similar trends emerged for the SPPB total score during follow-up; the group*time interaction from 0 to 12 months approached significance (β = − 0.97, p = 0.089) and was significant from 0 to 24 months (β = − 1.84, p = 0.012). No significant interactions emerged for other outcomes (ps > 0.11). Conclusions A DVD-delivered physical activity intervention designed for cancer-free older adults was capable of eliciting and maintaining clinically meaningful functional improvements in a subgroup of cancer survivors, with similar effects to the original full sample. These findings inform the dissemination of evidence-based physical activity programs during survivorship. Trial registration ClinicalTrials.govNCT01030419. Registered 11 December 2009

scholarly journals Exacerbations and Changes in Physical Activity and Sedentary Behaviour in Patients with Bronchiectasis after 1 Year

2021 ◽  
Vol 10 (6) ◽  
pp. 1190
Author(s):  
Victoria Alcaraz-Serrano ◽  
Ane Arbillaga-Etxarri ◽  
Patricia Oscanoa ◽  
Laia Fernández-Barat ◽  
Leticia Bueno ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Prospective Observational Study ◽  
Multivariable Analysis ◽  
Sensewear Armband ◽  
Activity Measurements ◽  
Key Factor ◽  
Steps Per Day ◽  
One Year

Background: Low physical activity and high sedentary behaviour in patients with bronchiectasis are associated with hospitalisation over one year. However, the factors associated with longitudinal changes in physical activity and sedentary behaviour have not been explored. We aimed to identify clinical and sociodemographic characteristics related to a change in physical activity and sedentary behaviour in patients with bronchiectasis after one year. Methods: This was a prospective observational study during which physical activity measurements were recorded using a SenseWear Armband for one week at baseline and at one year. At each assessment point, patients were classified as active or inactive (measured as steps per day) and as sedentary or not sedentary (measured as sedentary time). Results: 53 patients with bronchiectasis were analysed, and after one year, 18 (34%) had worse activity and sedentary levels. Specifically, 10 patients became inactive and sedentary. Multivariable analysis showed that the number of exacerbations during the follow-up period was the only outcome independently associated with change to higher inactivity and sedentary behaviour (odds ratio (OR), 2.19; 95% CI, 1.12 to 4.28). Conclusions: The number of exacerbations in patients with bronchiectasis was associated with changes in physical activity and sedentary behaviour. Exacerbation prevention may appear as a key factor in relation to physical activity and sedentary behaviour in patients with bronchiectasis.

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