scholarly journals Impact of falling on social participation and social support trajectories in a middle-aged and elderly European sample

2016 ◽  
Vol 2 ◽  
pp. 382-389 ◽  
Author(s):  
Stéphanie Pin ◽  
Dario Spini
2012 ◽  
Author(s):  
Jonathan J. W. Mueller ◽  
Nicole D. Ng ◽  
Hilary Sluis ◽  
Louis Y. Stephenson ◽  
Wendy Ratto ◽  
...  

2006 ◽  
Vol 36 (5) ◽  
pp. 863 ◽  
Author(s):  
Young Joo Park ◽  
Soonim Baik ◽  
Hyun Jeong Shin ◽  
Ji Won Yoon ◽  
Sook Hee Chun ◽  
...  

JMIR Aging ◽  
10.2196/12496 ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. e12496 ◽  
Author(s):  
Zakkoyya H Lewis ◽  
Maria C Swartz ◽  
Eloisa Martinez ◽  
Elizabeth J Lyons

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


2018 ◽  
Author(s):  
Zakkoyya H Lewis ◽  
Maria C Swartz ◽  
Eloisa Martinez ◽  
Elizabeth J Lyons

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. CLINICALTRIAL ClinicalTrials.gov NCT01869348; https://clinicaltrials.gov/ct2/show/NCT01869348


2017 ◽  
Vol 38 (1) ◽  
pp. 3-26 ◽  
Author(s):  
Daan Duppen ◽  
Michaël C. J. Van der Elst ◽  
Sarah Dury ◽  
Deborah Lambotte ◽  
Liesbeth De Donder ◽  
...  

Increasingly, policymakers assume that informal networks will provide care for frail older people. While the literature has mainly discussed the role of the family, broader social networks are also considered to be important. However, these social networks can diminish in later life. This systematic review investigates whether the social environment increases the risk of frailty or helps to prevent it. Findings from 15 original studies were classified using five different factors, which denoted five dimensions of the social environment: (a) social networks, (b) social support, (c) social participation, (d) subjective neighborhood experience, and (e) socioeconomic neighborhood characteristics. The discussion highlights that the social environment and frailty are indeed related, and how the neighborhood dimensions and social participation had more consistent results than social support and social networks. Conclusively, recommendations are formulated to contemplate all dimensions of the social environment for further research examining frailty and community care.


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