The effectiveness of Facebook as a social network intervention to increase physical activity in Chinese young adults

Lau, Patrick W.C.; Wang, J. J.; Ransdell, Lynda L.; Shi, Lei

doi:10.3389/fpubh.2022.912327

Cited by 11 publications

(9 citation statements)

References 45 publications

(39 reference statements)

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“…In addition, previous physical activity participation has mostly been measured only in terms of intensity, duration, and days of physical activity participation [ 31 , 32 ]. To measure physical activity participation more comprehensively, based on previous studies and the HRQoL scale of CHARLS [ 6 , 33 ], this study chose to comprehensively measure the physical activity participation of middle-aged and older people (as shown in Multimedia Appendix 2 ) from the aspects of PF, role-body (RP), body pain (BP), general health (GH).…”

Section: Methodsmentioning

confidence: 99%

The Effect of Activity Participation in Middle-Aged and Older People on the Trajectory of Depression in Later Life: National Cohort Study

Gao¹,

Jia²,

Zhao³

et al. 2023

JMIR Public Health Surveill

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Background More activity participation is an important means of handling depression and promoting positive aging, but the impact of changes in activity participation on the developmental trajectory of depression has not been fully studied. Objective The purpose of this study is to study the relationship between current activity participation and depression in middle-aged and older people (≥45 years old) and the relationship between activity participation and the developmental trajectory of depression in later life in China. Methods This study used data from the China Health and Retirement Longitudinal Study (CHARLS) across 7 years and included a total of 4818 middle-aged and older people (≥45 years old). Controlling for relevant control variables, the latent growth curve model and the cross-lag model were used to assess the effect of changes in activity participation on the depression trajectory in later life and the main lag relationship between activity participation and depression. Activity participation as well as depression were measured using the self-reported activity and health status based on the CHARLS questionnaire. Results Among the 4818 respondents, the mean values of physical activity participation, social leisure activity participation, and depression ranged from 76.98 (SD 15.16) to 83.95 (SD 5.72), from 7.43 (SD 8.67) to 9.25 (SD 10.16), and from 7.61 (SD 5.72) to 8.82 (SD 6.51), respectively. Our findings revealed that activity participation could be related to depression. Physical activity participation predicted initial depression (β=–0.631, P<.001) and its trajectory (β=0.461, P<.001). However, social leisure activity participation predicted initial depression (β=–0.223, P<.001) but did not predict its trajectory (β=0.067, P=.159). Finally, cross-lag regression analysis further demonstrated the predictive effect of activity participation on depression. Conclusions This study demonstrates the prediction of activity participation for future depression in the Chinese middle-aged and older populations. The data showed that activity participation is significantly associated with changes in depression and future depression among middle-aged and older people in China. The Chinese government should encourage middle-aged and older people to participate in various activities, which can effectively prevent the aggravation of depression and also have a positive significance for positive aging.

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Section: Methodsmentioning

confidence: 99%

The Effect of Activity Participation in Middle-Aged and Older People on the Trajectory of Depression in Later Life: National Cohort Study

Gao¹,

Jia²,

Zhao³

et al. 2023

JMIR Public Health Surveill

View full text Add to dashboard Cite

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“…Despite the increasing number of studies on how digital interventions can promote PA, most interventions have a short-term duration (a few weeks or months), and the long-term effects are therefore unclear. In addition, most studies focus on specific age groups (e.g., young healthy individuals or older adults) or people from a specific disease group (e.g., cancer), measuring quantitative outcomes ( 15 , 28–30 ). There is little knowledge on how digital interventions aimed to increase PA levels are accepted and used by inactive adults at risk to develop lifestyle diseases, and how they affect their motivation and perceived benefits ( 22 ).…”

Section: Introductionmentioning

confidence: 99%

Adoption, acceptability and sustained use of digital interventions to promote physical activity among inactive adults: a mixed-method study

Manskow,

Sagelv,

Antypas

et al. 2024

Front. Public Health

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IntroductionDespite the positive effects of physical activity (PA) to prevent lifestyle diseases and improve health and well-being, only one-third of Norwegian adults meet the minimum recommendations on PA. Digital interventions to promote PA in inactive adults may improve health and well-being by being available, personalized and adequate. Knowledge on users’ adoption, acceptability and sustainability of digital interventions to promote PA is still limited.ObjectiveTo investigate the adoption, acceptability and sustained use of three digital interventions for promoting PA among inactive adults.DesignA randomized control trial (ONWARDS) with 183 participants assigned to 3 groups and followed up for 18 months. All participants received a wearable activity tracker with the personalized metric Personal Activity Intelligence (PAI) on a mobile app, two groups received additional access to online training and one group had also access to online social support.MethodsA mixed-methods approach was used to address the study objective. Acceptability was evaluated through the System Usability Scale (SUS) (n = 134) at 6 months. Adoption and sustained use were evaluated through a set of questions administered at 12 months (n = 109). Individual interviews were performed at 6 months with a sample of participants (n = 18). Quantitative data were analyzed with descriptive statistics, whereas qualitative data were analyzed using the Framework approach.ResultsPAI was the most successful intervention, with satisfactory usability and positive effects on motivation and behavior change, contributing to high adoption and sustained use. Online social support had a high acceptability and sustained use, but the intervention was not perceived as motivational to increase PA. Online training had low adoption, usability and sustained use. The qualitative interviews identified five main themes: (1) overall approach to physical activity, (2) motivation, (3) barriers to perform PA, (4) effects of PA, and (5) usability and acceptability of the digital interventions.ConclusionPersonalized digital interventions integrating behavior change techniques such as individual feedback and goal setting are more likely to increase acceptability, adoption and sustained use. Future studies should investigate which digital interventions or combinations of different interventions are more successful in promoting PA among inactive adults according to the characteristics and preferences of the users.Trial registrationClinical trial registered at ClinicalTrials.gov: NCT04526444.

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“…Beyond these factors, SNS use has also recently begun to attract researchers’ attention. Social media has become an important way for people to interact ( Verduyn et al, 2020 ; Wang et al, 2020 ; Lau et al, 2022 ). As of 2021, there were more than 4.2 billion active social media users worldwide.…”

Section: Introductionmentioning

confidence: 99%

How active social network site use affects green consumption: A moderated mediation model

et al. 2023

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A growing body of literature suggests a link between the usage of social networking sites (SNSs) and green consumption. However, researchers have shown that not all types of SNS usage have the same effect on individuals; therefore, to fully understand the relationship between a particular SNS use type and green consumption, as well as the mechanisms underlying the relationship, more research is required. This study examined a moderated mediation model based on self-awareness theory to explain the “how” and “why” of the relationship between active SNS use and green consumption. An offline survey (N = 210) and an online survey (N = 348) were conducted. The results suggest that active SNS use is positively associated with green consumption via public self-awareness and that impression management motives moderate the mediating role of public self-awareness in the relationship between active SNS use and green consumption. By examining the connection between a specific type of SNS use (active SNS use) and green consumption, our study adds to the body of literature on the causes of green consumption. The results have substantial implications for future research promoting socially responsible consumption behavior.

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The effectiveness of Facebook as a social network intervention to increase physical activity in Chinese young adults

Cited by 11 publications

References 45 publications

The Effect of Activity Participation in Middle-Aged and Older People on the Trajectory of Depression in Later Life: National Cohort Study

The Effect of Activity Participation in Middle-Aged and Older People on the Trajectory of Depression in Later Life: National Cohort Study

Adoption, acceptability and sustained use of digital interventions to promote physical activity among inactive adults: a mixed-method study

How active social network site use affects green consumption: A moderated mediation model

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