Dataset Information

Social Support Patterns of Middle-Aged and Older Adults Within a Physical Activity App: Secondary Mixed Method Analysis.

ABSTRACT: BACKGROUND:Physical activity (PA) is critical for maintaining independence and delaying mobility disability in aging adults. However, 27 to 44% of older adults in the United States are meeting the recommended PA level. Activity trackers are proving to be a promising tool to promote PA adherence through activity tracking and enhanced social interaction features. Although social support has been known to be an influential behavior change technique to promote PA, how middle-aged and older adults use the social interaction feature of mobile apps to provide virtual support to promote PA engagement remains mostly underexplored. OBJECTIVE:This study aimed to describe the social support patterns of middle-aged and older adults using a mobile app as part of a behavioral PA intervention. METHODS:Data from 35 participants (mean age 61.66 [SD 6] years) in a 12-week, home-based activity intervention were used for this secondary mixed method analysis. Participants were provided with a Jawbone Up24 activity monitor and an Apple iPad Mini installed with the UP app to facilitate self-monitoring and social interaction. All participants were given an anonymous account and encouraged to interact with other participants using the app. Social support features included comments and likes. Thematic coding was used to identify the type of social support provided within the UP app and characterize the levels of engagement from users. Participants were categorized as superusers or contributors, and passive participants were categorized as lurkers based on the literature. RESULTS:Over the 12-week intervention, participants provided a total of 3153 likes and 1759 comments. Most participants (n=25) were contributors, with 4 categorized as superusers and 6 categorized as lurkers. Comments were coded as emotional support, informational support, instrumental support, self-talk, and other, with emotional support being the most prevalent type. CONCLUSIONS:Our cohort of middle-aged and older adults was willing to use the social network feature in an activity app to communicate with anonymous peers. Most of our participants were contributors. In addition, the social support provided through the activity app followed social support constructs. In sum, PA apps are a promising tool for delivering virtual social support to enhance PA engagement and have the potential to make a widespread impact on PA promotion. TRIAL REGISTRATION:ClinicalTrials.gov NCT01869348; https://clinicaltrials.gov/ct2/show/NCT01869348.

SUBMITTER: Lewis ZH

PROVIDER: S-EPMC6744818 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Social Support Patterns of Middle-Aged and Older Adults Within a Physical Activity App: Secondary Mixed Method Analysis.

Lewis Zakkoyya H ZH Swartz Maria C MC Martinez Eloisa E Lyons Elizabeth J EJ

JMIR aging 20190823 2

<h4>Background</h4>Physical activity (PA) is critical for maintaining independence and delaying mobility disability in aging adults. However, 27 to 44% of older adults in the United States are meeting the recommended PA level. Activity trackers are proving to be a promising tool to promote PA adherence through activity tracking and enhanced social interaction features. Although social support has been known to be an influential behavior change technique to promote PA, how middle-aged and older a ...[more]

PMID: 31518281

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Project description:BackgroundDigital mental health interventions may help middle-aged and older adults with depression overcome barriers to accessing traditional care, but few studies have investigated their use in this population.ObjectiveThis pilot study examines the feasibility, acceptability, and potential efficacy of the Meru Health Program, an 8-week mobile app-delivered intervention.MethodsA total of 20 community-dwelling middle-aged and older adults (age: mean 61.7 years, SD 11.3) with elevated depressive symptoms participated in a single-arm pilot study investigating the Meru Health Program, an app-delivered intervention supported by remote therapists. The program primarily uses mindfulness and cognitive behavioral skills to target depressive symptoms. A semistructured interview was completed at the baseline to establish current psychiatric diagnoses. Depressive symptoms were measured using the Patient Health Questionnaire and Patient-Reported Outcomes Measurement Information System (PROMIS) depression measures. Anxiety symptoms were measured using the Generalized Anxiety Disorder Scale and the PROMIS Anxiety measure. User experience and acceptability were examined through surveys and qualitative interviews.ResultsIn total, 90% (18/20) of the participants completed the program, with 75% (15/20) completing at least 7 of the 8 introductory weekly lessons. On average, participants completed 60 minutes of practice and exchanged 5 messages with their therapists every week. The app was rated as helpful by 89% (17/19) participants. Significant decreases in depressive (P=.03) and anxiety symptom measures (P=.01) were found; 45% (9/20) of participants showed clinically significant improvement in either depressive symptoms or anxiety symptoms.ConclusionsThe findings suggest that the commercially available Meru Health Program may be feasible, acceptable, and potentially beneficial to middle-aged and older adults. Although larger controlled trials are needed to demonstrate efficacy, these findings suggest that digital health interventions may benefit adults of all ages.

Project description:INTRODUCTION:Maintenance of cognitive function into old age is important for ageing populations. Researchers seek to identify modifiable risk and protective factors for cognitive function. One such modifiable factor is functional social support, that is, one's perception of whether their social network can provide resources such as material help, companionship, information and emotional contact, if needed. While the literature generally reports positive associations between functional social support and cognitive function, results vary according to study methods such as the tool used to measure functional social support or the specific cognitive domain under investigation. Our review will summarise the association between functional social support and cognitive function in middle-aged and older-aged adults who reside in any setting (eg, community dwelling, long-term care facilities). We will also identify sources of discrepant findings between studies. METHODS AND ANALYSIS:This protocol was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols guideline. PubMed, PsycINFO, Sociological Abstracts, Cumulative Index of Nursing and Allied Health Literature (CINAHL) and Scopus will be searched from inception to the present using a search strategy developed with a medical librarian's help. We will supplement the database searches with a grey literature search. English-language or French-language studies with a comparison group will be subject to inclusion, regardless of the measures used to assess functional social support or cognitive function. We will assess risk of bias with the Cochrane Risk of Bias Tool-Version 2 or the Newcastle-Ottawa Scale, narratively synthesise the extracted data and conduct a meta-analysis of studies with similar characteristics (eg, sample age and sex, cognitive function outcomes). Two independent raters will screen articles and assess risk of bias. ETHICS AND DISSEMINATION:This review is timely given the push toward early diagnosis and treatment of dementia/major neurocognitive disorder and other types of cognitive impairment. This protocol does not require a formal ethics review. We will publish our findings in a peer-reviewed journal.

Project description:OBJECTIVES:To describe aerobic physical activity among middle-aged and older adults by their self-reported cognitive decline and their receipt of informal care for declines in cognitive functioning and most common type of physical activity. DESIGN:Cross-sectional study using data from the 2011 Behavioral Risk Factor Surveillance System. SETTING:Landline and cellular telephone survey. PARTICIPANTS:93,082 respondents aged 45 years and older from 21 US states in 2011. MEASUREMENTS:Subjective cognitive decline (SCD) was defined as experiencing confusion or memory loss that was happening more often or getting worse during the past 12 months. Regular care was defined as always, usually, or sometimes receiving care from family or friends because of SCD. Using the 2008 Physical Activity Guidelines for Americans, respondents were classified as being inactive, insufficiently active, or sufficiently active based on their reported aerobic exercise. We calculated weighted proportions and used chi-square tests for differences across categories by SCD status and receipt of care. We estimated the prevalence ratio (PR) for being inactive, insufficiently active, and sufficiently active using separate log-binomial regression models, adjusting for covariates. RESULTS:12.3% of respondents reported SCD and 23.1% of those with SCD received regular care. 29.6% (95%CI: 28.9-30.4) of respondents without SCD were inactive compared to 37.1% (95%CI: 34.7-39.5) of those with SCD who did not receive regular care and 50.2% (95%CI: 45.2-55.1) of those with SCD who received regular care. 52.4% (95%CI: 51.6-53.2) of respondents without SCD were sufficiently active compared to 46.4% (95%CI: 43.8-49.0) of respondents with SCD and received no regular care and 30.6% (95%CI: 26.1-35.6) of respondents with SCD who received regular care. After adjusting for demographic and health status differences, people receiving regular care for SCD had a significantly lower prevalence of meeting aerobic guidelines compared to people without SCD (PR=0.80, 95%CI: 0.69-0.93, p=0.005). The most prevalent physical activity was walking for adults aged ? 45 years old (41-52%) regardless of SCD status or receipt of care. CONCLUSION:Overall, the prevalence of inactivity was high, especially among people with SCD. These findings suggest a need to increase activity among middle-aged and older adults, particularly those with SCD who receive care. Examining ways to increase walking, potentially by involving informal caregivers, could be a promising way for people with SCD to reduce inactivity and gain the health benefits associated with meeting physical activity guidelines.

Project description:BackgroundMental health conditions are among the leading non-fatal diseases in middle-aged and older adults in Australia. Proximal and distal social environmental factors and physical environmental factors have been associated with mental health, but the underlying mechanisms explaining these associations remain unclear. The study objective was to examine the contribution of different types of physical activity in mediating the relationship of social and physical environmental factors with mental health-related quality of life in middle-aged and older adults.MethodsBaseline data from the Wellbeing, Eating and Exercise for a Long Life (WELL) study were used. WELL is a prospective cohort study, conducted in Victoria, Australia. Baseline data collection took place in 2010. In total, 3,965 middle-aged and older adults (55-65 years, 47.4% males) completed the SF-36 Health Survey, the International Physical Activity Questionnaire, and a questionnaire on socio-demographic, social and physical environmental attributes. Mediation analyses were conducted using the MacKinnon product-of-coefficients test.ResultsPersonal safety, the neighbourhood physical activity environment, social support for physical activity from family or friends, and neighbourhood social cohesion were positively associated with mental health-related quality of life. Active transportation and leisure-time physical activity mediated 32.9% of the association between social support for physical activity from family or friends and mental health-related quality of life. These physical activity behaviours also mediated 11.0%, 3.4% and 2.3% respectively, of the relationship between the neighbourhood physical activity environment, personal safety and neighbourhood social cohesion and mental health-related quality of life.ConclusionsIf these results are replicated in future longitudinal studies, tailored interventions to improve mental health-related quality of life in middle-aged and older adults should use a combined strategy, focusing on increasing physical activity as well as social and physical environmental attributes.

Dataset Information

Social Support Patterns of Middle-Aged and Older Adults Within a Physical Activity App: Secondary Mixed Method Analysis.

Publications

Social Support Patterns of Middle-Aged and Older Adults Within a Physical Activity App: Secondary Mixed Method Analysis.

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