This site uses cookies to improve your experience and to help show ads that are more relevant to your interests. The predictor was a social media scale based on the frequency of using forums and blogs within the online weight loss programme (alpha = 0.91). Save Cancel. The link between structural and functional support has implications for users and administrators of online weight loss programmes. Number of times cited according to CrossRef: A systematic review of the behaviour change techniques and digital features in technology-driven type 2 diabetes prevention interventions. A prior study with SparkPeople members found that emotional and information support for weight loss were both related to the use of social media tools.14 But that study differed from the current study in terms of eligibility criteria, definitions of high and low use of social media tools and method of assessing functional social support. In the past 4 weeks, how many times have you done the following on a SparkPage or blog? The Power of the Virtual Ideal Self in Weight Control: Weight-Reduced Avatars Can Enhance the Tendency to Delay Gratification and Regulate Dietary Practices. It is possible that those types of support are more related to other metrics of website activity (total time spent); other website features (educational articles); or the members’ unmeasured personal characteristics, expectations and goals. Social media are online and mobile technologies which allow interactive dialogue through the creation and exchange of user‐generated content. A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Within each forum, we analysed threads (conversations of linked messages) that were started on a randomly selected day within a 3‐month period. Social support for physical activity—role of Facebook with and without structured intervention. 2016 49th Hawaii International Conference on System Sciences (HICSS). MedWeight Smart Community: A Social Approach. We tested a model (Fig. This one factor had high internal consistency (α = 0.91) and represented 64.7% of the variance in the factor analysis. and you may need to create a new Wiley Online Library account. However, to the extent that this is occurring, it would reflect the complex nature of the chronic behaviour changes during a weight loss effort. The 187 participants were mostly white women with mean (SD) age of 37 (12) and mean (SD) BMI of 31 (8) (Table 2). Conclusions Using the social media tools of an online weight loss programme at least once per week is strongly associated with receiving Encouragement for weight loss behaviours. Overall, SEM demonstrated that social media use is a significant predictor of Encouragement support (P < 0.001), but not Information or Shared Experiences support. Rania Hatzi Follow. Weight loss interventions with a social support component typically attempt to manipulate structural support, yet functional support is more strongly related to health and well‐being.5. Of these, 164 (88%) perceived Encouragement support, 110 (59%) perceived Information support, and 79 (42%) perceived Shared Experiences support. Website Usage and Weight Loss in a Free Commercial Online Weight Loss Program: Retrospective Cohort Study, https://doi.org/10.1111/j.1369-7625.2011.00759.x, http://www.pewinternet.org/~/media//Files/Reports/2009/PIP_Health_2009.pdf, ‘They encourage you to never give up, but keep on striving for your goals’, ‘The photos we can post showing our weight loss journey is a big encouragement to keep going’, ‘They never criticize you for making wrong choices, like a burger at McDonald’s, and just encourage you to get right back on track’, ‘They offer good tips for burning extra calories doing regular everyday things’, ‘People have helped in giving ideas on healthy food and snacks when you get bored of the same old “diet” food’, ‘Brought to light several unexpected areas that influence my diet (excessive butter use in restaurants)’, ‘They have been through the same obstacles’. Join Facebook to connect with Rania Hatzi and others you may know. The predictor was use of online social media tools. Weight loss support seeking on twitter: the impact of weight on follow back rates and interactions. Twenty‐four percent of US adults have searched the Internet for assistance in losing weight.10 Part of this experience includes seeking social support for weight loss from peers.11, 12 To develop effective online weight loss support programmes, it is essential to determine whether increasing structural support leads to increased functional support.5 In a study of members of a large online weight loss programme, we identified the major types of functional support as Encouragement, Information and Shared Experiences,13 but did not address how functional support varied with frequency of using social media tools within the programme (structural support). Alternatively, our results may reflect the predominance of Encouragement as the type of support experienced by members of this programme. Smartphone Usage, Social Media Engagement, and Willingness to Participate in mHealth Weight Management Research Among African American Women. The outcomes were perception of Encouragement, Information and Shared Experiences support for weight loss as described previously. Question 4: Read someone’s SparkPage or blog, Question 5: Posted a message on someone’s SparkPage or blog, Question 6: Read messages posted on your own SparkPage or blog, Question 7: Posted a message on your own SparkPage or blog. To create a more useful model, we revised our initial model by excluding the two non‐significant pathways (Fig. Use the link below to share a full-text version of this article with your friends and colleagues. In this study of members of a large online weight loss programme, the frequency of using forums and blogs was an independent predictor of experiencing Encouragement support for weight loss. Abstract Background Online weight loss programmes allow members to use social media tools to give and receive social support for weight loss. We adjusted for sociodemographic characteristics, BMI and length of SparkPeople membership in the multiple logistic regression because of their potential to affect Internet use patterns. Social Cognitive Theory and eHealth Design – A Scoping Review (Preprint). Table 1 includes representative examples of how members described the support. Have something nice to say about Rania Hatzi? Lastly, since our participants were from a single (albeit large) online weight loss programme, findings may not extend to other communities. The data collection methods have been previously reported 13 and are summarized briefly here. Another strength was that the SEM analysis allowed us to model latent variables when predicting the outcomes and to model relationships between social media use and multiple types of social support simultaneously. In simple regression models, social media use was a significant predictor of Encouragement support [OR = 4.4 (95% CI = 1.5–12.5)]. Photos of Rania Hatzi. Give Pro. The extent to which the observed data supported the hypothesized model (fit of the model) was assessed with the chi‐square (χ2) statistic, where a non‐significant χ2statistic indicates that the model fits well. Pew internet & American life project, June 11, 2009, The impact of Internet use for weight loss. Rania Ch | Beauty comes in all shapes and sizes and everybody has their own preferences!!!!!!! Applying the inductive, grounded theory approach to the surveys, interviews and forum messages, we identified the major social support themes as Encouragement (e.g. The relationship between predictor and outcomes was evaluated with structural equation modelling (SEM) and logistic regression, adjusted for sociodemographic characteristics, BMI and duration of website membership. This study was unique in linking functional support with a quantitative measure of structural support. SEM produced a model in which social media use predicted Encouragement support, but not Information or Shared Experiences support. Finally, we analysed 1924 messages posted on six discussion forums on the SparkPeople website. Working off-campus? Simple and multiple logistic regression models were conducted to generate odds ratios for the relationships between predictor and outcome variables. The Role of Social Network Technologies in Online Health Promotion: A Narrative Review of Theoretical and Empirical Factors Influencing Intervention Effectiveness. The cross‐sectional design of the study limits our ability to ascertain a causal relationship between predictor and outcome. Evaluating such relationships might clarify the expected benefits of participating in an online weight loss programme. The current analysis included 187 of 193 participants who provided answers to all survey questions. Information Innovation Technology in Smart Cities. For example, by manipulating the availability, features and promotion of online social media tools, randomized trials could test the effect of structural social support variations on weight control. Lonely hearts don't get checked: On the role of social support in screening for cardiovascular risk. Predictor variables included social media use, sociodemographic characteristics [age, gender, race (white or non‐white), education (High School or Secondary School/College/Graduate School), marital status (married or not married)], BMI and length of membership in the SparkPeople program. They reported reading messages on forums or blogs more frequently than posting messages of their own (Table 3). Use of online social media tools was not related to Information support or Shared Experiences support in this study.

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