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

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

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

10.2196/preprints.12496 ◽

2018 ◽

Author(s):

Zakkoyya H Lewis ◽

Maria C Swartz ◽

Eloisa Martinez ◽

Elizabeth J Lyons

Keyword(s):

Physical Activity ◽

Social Support ◽

Older Adults ◽

Social Interaction ◽

Emotional Support ◽

Mixed Method ◽

Middle Aged ◽

Promising Tool ◽

The Social ◽

Method Analysis

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

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Sport, physical activity and social health in older adults. Caring with technology in the COVID-19 pandemic

International Review for the Sociology of Sport ◽

10.1177/10126902211045675 ◽

2021 ◽

pp. 101269022110456

Author(s):

Ivana Matteucci

Keyword(s):

Physical Activity ◽

Social Support ◽

Older Adults ◽

Social Networks ◽

The Elderly ◽

Social Health ◽

Short Version ◽

The Social ◽

Communications Technologies ◽

The Impact

The aim of this paper was to photograph this precise moment in history, focusing on the situation of older adults during the COVID-19 health emergency in Northern Italy. In particular, we analysed the relationship between social networks and social support, sport and recreational activity, and the use of communications technologies in December 2020. We investigated and discussed such use of technologies, wondering if and how it helped to compensate for the diminishment in social health, usually gained trough social interactions and the practice of sport and physical activity. We examined how reduction of mobility, social distancing and isolation measures imposed by the government to reduce the spread of COVID-19, affected the living conditions of the older adults, in particular their social health, and the level of sport and physical activity they were engaged in. We collected data through interviews with the subjects, assessing their social networks, the perceived social support provided by their family members, friends and caregivers, and the level of sport and physical activity they were engaged in. Moreover, we analysed the impact of technological communications devices, which were employed to help older adults to maintain their relationships with the outside world and to preserve their active life. The interview questions were formulated based on the Lubben Social Network Scale-Revised (LSNS-R), the short version of the Social Support List (SSL12-I) for the elderly and the Physical Activity Scale for the Elderly (PASE). A relationship was found between the social health related to physical activity of the older adults subjects during the COVID-19 emergency and the use of communications technologies, which played a role in mitigating the impact of the crisis on their social health by helping them to keep physically and socially active.

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Promoting Physical Activity in Japanese Older Adults Using a Social Pervasive Game: Randomized Controlled Trial

JMIR Serious Games ◽

10.2196/16458 ◽

2021 ◽

Vol 9 (1) ◽

pp. e16458

Author(s):

Luciano Henrique De Oliveira Santos ◽

Kazuya Okamoto ◽

Ryo Otsuki ◽

Shusuke Hiragi ◽

Goshiro Yamamoto ◽

...

Keyword(s):

Physical Activity ◽

Older Adults ◽

Social Interaction ◽

Pervasive Games ◽

Design Elements ◽

Play Activity ◽

The Social ◽

Proportional Change ◽

Pervasive Game ◽

Baseline Values

Background Pervasive games aim to create more fun and engaging experiences by mixing elements from the real world into the game world. Because they intermingle with players’ lives and naturally promote more casual gameplay, they could be a powerful strategy to stimulate physical activity among older adults. However, to use these games more effectively, it is necessary to understand how design elements of the game affect player behavior. Objective The aim of this study was to evaluate how the presence of a specific design element, namely social interaction, would affect levels of physical activity. Methods Participants were recruited offline and randomly assigned to control and intervention groups in a single-blind design. Over 4 weeks, two variations of the same pervasive game were compared: with social interaction (intervention group) and with no social interaction (control group). In both versions, players had to walk to physical locations and collect virtual cards, but the social interaction version allowed people to collaborate to obtain more cards. Changes in the weekly step counts were used to evaluate the effect on each group, and the number of places visited was used as an indicator of play activity. Results A total of 20 participants were recruited (no social interaction group, n=10; social interaction group, n=10); 18 participants remained active until the end of the study (no social interaction group, n=9; social interaction group, n=9). Step counts during the first week were used as the baseline level of physical activity (no social interaction group: mean 46,697.2, SE 7905.4; social interaction group: mean 45,967.3, SE 8260.7). For the subsequent weeks, changes to individual baseline values (absolute/proportional) for the no social interaction group were as follows: 1583.3 (SE 3108.3)/4.6% (SE 7.2%) (week 2), 591.5 (SE 2414.5)/2.4% (SE 4.7%) (week 3), and −1041.8 (SE 1992.7)/0.6% (SE 4.4%) (week 4). For the social interaction group, changes to individual baseline values were as follows: 11520.0 (SE 3941.5)/28.0% (SE 8.7%) (week 2), 9567.3 (SE 2631.5)/23.0% (SE 5.1%) (week 3), and 7648.7 (SE 3900.9)/13.9% (SE 8.0%) (week 4). The result of the analysis of the group effect was significant (absolute change: η2=0.31, P=.04; proportional change: η2=0.30, P=.03). Correlations between both absolute and proportional change and the play activity were significant (absolute change: r=0.59, 95% CI 0.32 to 0.77; proportional change: r=0.39, 95% CI 0.08 to 0.64). Conclusions The presence of social interaction design elements in pervasive games appears to have a positive effect on levels of physical activity. Trial Registration Japan Medical Association Clinical Trial Registration Number JMA-IIA00314; https://tinyurl.com/y5nh6ylr (Archived by WebCite at http://www.webcitation.org/761a6MVAy)

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Loneliness and the exchange of social support among older adults in Spain and the Netherlands

Ageing and Society ◽

10.1017/s0144686x12000839 ◽

2012 ◽

Vol 34 (2) ◽

pp. 330-354 ◽

Cited By ~ 22

Author(s):

MARTA M. SÁNCHEZ RODRIGUES ◽

JENNY DE JONG GIERVELD ◽

JOSE BUZ

Keyword(s):

Social Support ◽

Older Adults ◽

The Netherlands ◽

Cultural Values ◽

Emotional Support ◽

Protective Factor ◽

Northern Europe ◽

Instrumental Support ◽

The Social ◽

To Receive

ABSTRACTPrevious research has shown that exchanges of support within social networks reduce the loneliness of older adults. However, there is no consistent evidence on how types of support (instrumental and emotional) and the direction of that support (giving and receiving) are related to loneliness, and whether the effects are culture-specific. The aim of this study was to investigate support exchanges and their effects on loneliness in Spain and the Netherlands. We suggest that cultural differences, such as more interdependent cultural values in Southern Europe and more independence-related values in Northern Europe, influence social realities such as the social support exchanged. In Spain relationships with family members are determined by mutual obligations; older people expect to receive instrumental support from them. However, in Northern Europe independence is highly valued and intimacy and closeness are shown primarily by confiding about personal matters. This paper examined data from two comparable surveys, one in Spain (N=646) and one in the Netherlands (N=656). Older adults in Spain provide for, and receive, high amounts of instrumental support and this proved to be a protective factor against loneliness. An alternative pattern was found in the Netherlands where respondents provided more and received more emotional support than Spanish older adults; emotional support is a protective factor in the Netherlands (but only for support received).

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Social Interaction and Physical Activity Among Rural Older Adults: A Scoping Review

Journal of Aging and Physical Activity ◽

10.1123/japa.2021-0046 ◽

2021 ◽

pp. 1-15

Author(s):

Laurie L. Schmidt ◽

Shanthi Johnson ◽

M. Rebecca Genoe ◽

Bonnie Jeffery ◽

Jennifer Crawford

Keyword(s):

Physical Activity ◽

Older Adults ◽

Social Interaction ◽

Rural Communities ◽

Scoping Review ◽

Geographical Location ◽

Social Aspect ◽

The Social ◽

Critical Components ◽

Rural Older Adults

Social interaction and physical activity are critical components in supporting health among older adults, yet rates of activity are low in rural communities. There is significant merit in exploring the relationship between these interrelated concepts. A scoping review was conducted to synthesize existing literature. Search results identified 26 studies meeting inclusion criteria. Findings indicated that social interaction and physical activity were important for many older adults to maintain health; however, not all older adults preferred the social aspect of group-based exercise. Opportunities for physical activity and social interaction were limited based on geographical location and other socioeconomic factors. This was evident in rural communities where populations were lower and education and income levels varied. Differences on the defining role and meaning of physical activity also emerged. Increasing physical activity and social interaction must account for negative associations to address the lower rates of participation among rural older adults.

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Promoting Physical Activity in Japanese Older Adults Using a Social Pervasive Game: Randomized Controlled Trial (Preprint)

10.2196/preprints.16458 ◽

2019 ◽

Author(s):

Luciano Henrique De Oliveira Santos ◽

Kazuya Okamoto ◽

Ryo Otsuki ◽

Shusuke Hiragi ◽

Goshiro Yamamoto ◽

...

Keyword(s):

Physical Activity ◽

Older Adults ◽

Social Interaction ◽

Pervasive Games ◽

Design Elements ◽

Play Activity ◽

The Social ◽

Proportional Change ◽

Pervasive Game ◽

Baseline Values

BACKGROUND Pervasive games aim to create more fun and engaging experiences by mixing elements from the real world into the game world. Because they intermingle with players’ lives and naturally promote more casual gameplay, they could be a powerful strategy to stimulate physical activity among older adults. However, to use these games more effectively, it is necessary to understand how design elements of the game affect player behavior. OBJECTIVE The aim of this study was to evaluate how the presence of a specific design element, namely social interaction, would affect levels of physical activity. METHODS Participants were recruited offline and randomly assigned to control and intervention groups in a single-blind design. Over 4 weeks, two variations of the same pervasive game were compared: with social interaction (intervention group) and with no social interaction (control group). In both versions, players had to walk to physical locations and collect virtual cards, but the social interaction version allowed people to collaborate to obtain more cards. Changes in the weekly step counts were used to evaluate the effect on each group, and the number of places visited was used as an indicator of play activity. RESULTS A total of 20 participants were recruited (no social interaction group, n=10; social interaction group, n=10); 18 participants remained active until the end of the study (no social interaction group, n=9; social interaction group, n=9). Step counts during the first week were used as the baseline level of physical activity (no social interaction group: mean 46,697.2, SE 7905.4; social interaction group: mean 45,967.3, SE 8260.7). For the subsequent weeks, changes to individual baseline values (absolute/proportional) for the no social interaction group were as follows: 1583.3 (SE 3108.3)/4.6% (SE 7.2%) (week 2), 591.5 (SE 2414.5)/2.4% (SE 4.7%) (week 3), and −1041.8 (SE 1992.7)/0.6% (SE 4.4%) (week 4). For the social interaction group, changes to individual baseline values were as follows: 11520.0 (SE 3941.5)/28.0% (SE 8.7%) (week 2), 9567.3 (SE 2631.5)/23.0% (SE 5.1%) (week 3), and 7648.7 (SE 3900.9)/13.9% (SE 8.0%) (week 4). The result of the analysis of the group effect was significant (absolute change: η2=0.31, P=.04; proportional change: η2=0.30, P=.03). Correlations between both absolute and proportional change and the play activity were significant (absolute change: r=0.59, 95% CI 0.32 to 0.77; proportional change: r=0.39, 95% CI 0.08 to 0.64). CONCLUSIONS The presence of social interaction design elements in pervasive games appears to have a positive effect on levels of physical activity. CLINICALTRIAL Japan Medical Association Clinical Trial Registration Number JMA-IIA00314; https://tinyurl.com/y5nh6ylr (Archived by WebCite at http://www.webcitation.org/761a6MVAy)

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Social Influences on Physical Activity in Older Adults: A Review

Journal of Aging and Physical Activity ◽

10.1123/japa.6.1.1 ◽

1998 ◽

Vol 6 (1) ◽

pp. 1-17 ◽

Cited By ~ 62

Author(s):

Makoto Chogahara ◽

Sandra O’Brien Cousins ◽

Leonard M. Wankel

Keyword(s):

Physical Activity ◽

Social Support ◽

Older Adults ◽

Interpersonal Relationships ◽

Social Influences ◽

Health Promoting Behaviors ◽

Activity Settings ◽

The Social ◽

Health Promoting ◽

Aging Adults

The interpersonal relationships of older adults have long been recognized as important determinants for their physical activity involvement. To date, researchers in this field have tended to focus on positive social influences, such as social support. Furthermore, in most studies, operational definitions of social support have stressed the source of the support (e.g., family support and friend support) rather than the nature of the support provided by these groups and individuals. In order to clarify the social context of physical activity among older adults, more attention should be paid to exploring both positive and negative social influences on physical activity. The objectives of this paper were to consolidate current findings concerning social influences and physical activity among aging adults, and to identify major positive and negative social influences from the literature that are associated with physical activity and health-promoting behaviors among aging adults. The development of a more comprehensive and representative method of measuring social influences in physical activity settings is advocated.

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