rania hatzi phd

Save Cancel. The current analysis included 187 of 193 participants who provided answers to all survey questions. Photos of Rania Hatzi. 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. This one factor had high internal consistency (α = 0.91) and represented 64.7% of the variance in the factor analysis. We performed a sensitivity analysis to determine the effect of using different thresholds between low and high social media use. Simple and multiple logistic regression models were conducted to generate odds ratios for the relationships between predictor and outcome variables. Another limitation is the suboptimal fit of the hypothesized and revised models. Model fit was also evaluated with the Normed Fit Index (NFI),16 Non‐Normed Fit Index (NNFI)16 and the root mean square error of approximation (RMSEA).17 NFI and NNFI > 0.90 and RMSEA < 0.10 would suggest a good model fit.18 If the data did not support the hypothesized model, we planned to revise the model. The full text of this article hosted at iucr.org is unavailable due to technical difficulties. Overall, SEM demonstrated that social media use is a significant predictor of Encouragement support (P < 0.001), but not Information or Shared Experiences support. Learn more. Alongside my PhD, I am also working part-time on Named Entity Recognition and Relation Extraction from clinical text under the supervision of Beatrice Alex.Here is a demo of our Named Entity Recognition and Negation Detection models for identifying findings (eg. Comparison between active and non-active participants in an online behavioral weight loss program. Use of online social media tools was not related to Information support or Shared Experiences support in this study. Of these, 164 (88%) perceived Encouragement support, 110 (59%) perceived Information support, and 79 (42%) perceived Shared Experiences support. The predictor was use of online social media tools. 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. Evaluating such relationships might clarify the expected benefits of participating in an online weight loss programme. Allison J. Ottenbacher, Angela P. Green, M. Roseann Cannon‐Diehle and Oneka Richardson helped analyse the original survey data. Write a testimonial. Survey participants were recruited by messages posted on discussion forums and by email invitations sent to 3000 randomly selected individuals who had been members for at least 3 weeks and logged in within the previous 24 h. We also conducted telephone interviews with 13 survey respondents to gain in‐depth insight into the topic. The cross‐sectional design of the study limits our ability to ascertain a causal relationship between predictor and outcome. The outcomes were perception of Encouragement, Information and Shared Experiences support for weight loss as described previously. Participants were members of SparkPeople.com – a free, online weight loss programme that offers educational articles, diet and exercise tracking tools, and social media tools. 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. Weight loss support seeking on twitter: the impact of weight on follow back rates and interactions. In the past 4 weeks, how many times have you done the following on a SparkPage or blog? However, to the extent that this is occurring, it would reflect the complex nature of the chronic behaviour changes during a weight loss effort. Peer-Based Social Media Features in Behavior Change Interventions: Systematic Review. stroke and tumours) from radiology reports. Path analysis techniques could determine the extent to which any significant relationships are mediated by functional social support. Participants who used the social media tools at least weekly were almost five times as likely to experience Encouragement support compared to those who used the features less frequently [adjusted OR 4.8 (95% CI 1.8–12.8)]. While the data did not fit the revised model much better (Table 4), all pathways for the revised model were significant. The funding sources had no role in designing the study; collecting, analysing or interpreting the data; or preparing or submitting the manuscript for publication. Facilitating weekly peer interaction may provide the ongoing support sought by many of those who turn to the Internet to lose weight. Participants Members of an online weight loss programme. Giannis Meletakis, Rania Hatzi, Panagiotis Katsivelis, Mara Nikolaidou, Dimosthenis Anagnostopoulos, Costas A. Anastasiou, Eleni Karfopoulou and Mary Yannakoulia, MedWeight Smart Community: A Social Approach, Information Innovation Technology in Smart Cities, … If you do not receive an email within 10 minutes, your email address may not be registered, Obesity [body mass index (BMI) ≥ 30] leads to adverse consequences such as diabetes, hypertension, cardiovascular disease, obstructive sleep apnoea, osteoarthritis, non‐alcoholic steatohepatitis and several types of cancer.1 Obese individuals also have higher health care expenditures than their normal weight counterparts.2, Cross‐sectional, cohort and intervention studies have demonstrated that social support facilitates initial weight loss and weight loss maintenance.3-9 It is important to distinguish the concepts of structural and functional social support.5 Structural support refers to the availability of support and can be measured in terms of the frequency (daily, weekly, monthly) and channel (face‐to‐face, telephone, Internet) of social interactions. Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing - CSCW '16. Abstract Background Online weight loss programmes allow members to use social media tools to give and receive social support for weight loss. 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’. Please check your email for instructions on resetting your password. Social Cognitive Theory and eHealth Design – A Scoping Review (Preprint). This study was unique in linking functional support with a quantitative measure of structural support. Pew internet & American life project, June 11, 2009, The impact of Internet use for weight loss. Social media and applications to health behavior. 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. 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. underflowR. In simple regression models, social media use was a significant predictor of Encouragement support [OR = 4.4 (95% CI = 1.5–12.5)]. 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. 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. We tested a model (Fig. In the past 4 weeks, how many times have you done the following on a SparkPeople message board or forum? 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. The Power of the Virtual Ideal Self in Weight Control: Weight-Reduced Avatars Can Enhance the Tendency to Delay Gratification and Regulate Dietary Practices. In the sensitivity analysis, we repeated the logistic regression models with social media use dichotomized at (i) once a day or more vs. less than once a day and (ii) several times a day or more vs. less than several times a day. Alternatively, our results may reflect the predominance of Encouragement as the type of support experienced by members of this programme. The surveys and interviews had open‐ended questions regarding the types of support the members had experienced within the previous 4 weeks. In conclusion, among members of a large online weight loss programme, weekly interaction with fellow members via forums and blogs is associated with receiving Encouragement support for weight loss. None of the authors had conflicts of interests relevant to this study. This study was supported in part by a Clinical Investigator Award (Center for Clinical Research and Evidence‐Based Medicine) and a Pilot Project Award (Center for Clinical and Translational Sciences), both from The University of Texas Health Science Center at Houston. Question 1: Read messages related to weight loss posted by others, Question 2: Posted a message related to weight loss to start a discussion, Question 3: Replied to other messages related to weight loss. 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. Rania Ch | Beauty comes in all shapes and sizes and everybody has their own preferences!!!!!!! Rania Hatzi Follow. 1) corresponding to our hypothesis that social media use (predictor) is directly associated with perceiving Encouragement, Information and Shared Experiences support (multiple outcomes). Pathways between survey items and the respective latent variables for the initial and revised models are shown in Table 5.

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