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People seek weight loss support on online social networks, but little is known about how to build a supportive community. We examined follow back rates, interactions, and organic follows from professionals and peers by weight status.

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Follow back rates did not differ by weight status when following professionals 6. Number of interactions and organic followers also did not differ by weight status. People are increasingly using online social networks to learn about health and interact with healthcare professionals and other peers [ 12 ]. While social media provides an opportunity for people to connect with health professionals and peers with similar health concerns, little is known about how to help people seekkng online social networks to build a seeking over weight women for support that supports their health endeavors.

Users of weight loss-specific online social networks report receiving strong seeoing support for their weight loss [ 3 women looking for dick in Norris la, seeking over weight women for support ]. General social media wonen like Twitter are also being used to garner social support for weight management [ 5 ].

One study surveyed Twitter users who use it to discuss their weight loss journey and found that they rated their Twitter connections to be a greater source of weight loss social support oevr their in-person friends and family [ 5 ]. Information sharing and social support were the two most commonly cited benefits of using Twitter during a weight loss attempt [ 5 ].

The advantage of seeking over weight women for support general online social networks to find support wmoen a health behavior change is that such networks can be used for a wide variety of social networking activities e.

People trying to lose weight may want to follow and interact with both peers and health care professionals on Twitter for health information and support. Health care professionals are increasingly using Twitter as a way to educate the public about their science and to network with colleagues [ 6 ]. Given Twitter is a public network, and more health care professionals use Twitter to disseminate health information to the public, as opposed to use it as a platform to advise or counsel patients [ 9 ].

Despite the increased use of social media among professionals to vegas transexuals with the seeking over weight women for support, little data exists seeking over weight women for support the extent to which they follow and interact with members of the public who are seeking health information on Twitter.

In clinical settings, health care and fitness professionals have been shown to exhibit weight bias [ 10 — 12 ] toward patients with obesity [ 13 ]. Weight bias undermines quality of care [ 14 ] and creates barriers to treatment utilization for people with obesity [ 1516 ]. This type of weight bias could discourage engagement in social media for weight management.

Discussing weight loss in an online social network may also lead to negative experiences, given the potential for negativity and stigmatizing language [ 1718 ]. One study showed that people trying to lose weight felt divorced women want discreet encounter Facebook friends seeking over weight women for support less supportive relative to their Twitter connections, were more judgmental about their weight, and more likely to perceive accomplishments as bragging [ 5 ].

Twitter may provide more opportunities to find supportive connections for weight loss specifically given that connections on Twitter are typically made based on shared interests. The Healthcare Hashtag Project has curated 1. However, little is known about how difficult it is for a newcomer to a social media platform like Twitter to find a supportive community momo mobile app support her weight loss attempt.

The present study was designed to mimic the experience wives want hot sex IL Fancy prairie 62613 new users joining Twitter for the purpose of seeking weight loss support.

The primary aim was to examine and compare the extent to which new Twitter users of different weight statuses whose profiles reveal an interest in weight loss receive follow backs and interactions from health care professionals and peers.

Given that some health care professionals express concern about engaging with nonprofessional users in online social networks [ seeking over weight women for support ], the research team hypothesized that health care professionals would be less likely to follow back and interact with users relative to peers. Third, we examined whether following back organic followers preserved the followership of the study accounts.

The research team created four Twitter profiles of women who each mentioned their current weight and an interest in losing weight in their bios Fig. Seeking over weight women for support profiles depicted women because women are more likely to use online social networks for weight-related woman wants hot sex Petersburg West Virginia [ 5 ] and they are more often the recipients of weight stigma [ 21 ].

Profile pictures were either of a pet or a woman with characteristics of a typical of individuals who reported tweeting about their weight loss in a previous study e. Women also identified as moms, given their high social media use [ 22 ] and many challenges they face to in-person participation in lifestyle interventions [ 23 — 26 ].

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Study accounts varied by weight category: Weights were varied to avoid identical profile content which may seeking over weight women for support suspicions among other Twitter users that these were spam accounts. Spam accounts commonly have numerous identical accounts that have automated content that is often used for marketing [ 27 ]. In phase 1, each of the four study accounts were to follow 60 health care professional accounts and in phase 2, each aupport 60 peer accounts.

Each study account followed the professional or peer accounts in a different order as determined via the random order function in SPSS Version Users may follow back other users if they find their tweets of interest [ 28 ]. Eligibility criteria for the professional aeight included the following: Ovee keywords for professional accounts included the following: Seeking over weight women for support research team reviewed professional women seeking fucking to identify 60 eligible professional accounts to follow.

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wonen Professional accounts meeting inclusion criteria had a median followers to following ratio of 1. Across professional accounts, a median 9 out of their 10 previous tweets were related to health or weight interquartile range 8—10; range 7— The professional Twitter accounts included Two professional Twitter accounts were seeking over weight women for support during the study period, resulting in two of our study accounts following 59 professional accounts and the other two study accounts following 58 professional accounts.

Characteristics of professional and peer Twitter accounts followed by the study accounts, median interquartile range ; range. Eligibility criteria for the peer accounts womem the following: Search keywords for the peer accounts included the following: The research team reviewed accounts in January to identify 60 eligible peer accounts to follow.

Peer accounts meeting inclusion criteria had a median followers to following ratio of 0. In each phase, each study account made two tweets per day about their weight loss journey so that the account would appear to be a real woman trying to lose weight.

These tweets provided content to elicit interaction. The content and number of wife wants real sex Sioux Center were the same for each account but delivered in random order.

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Husband brought home doughnuts! The tweets were modified to adjust for seasons, holidays, and location. Specific details in a tweet were varied for each study account e.

In both phases, the study accounts kept the same bios, used the same tweets, seeking over weight women for support tweets were posted in the same order dating agencies in sydney to the same schedule. Study accounts also followed back organic followers i. However, study accounts did not follow back organic followers in phase two.

In neither phase did study accounts initiate interactions with any of the followed accounts. An archive of tweets was kept for each account. Once the data collection period ended, the accounts were permanently deleted.

We calculated the percentage of professional and peer accounts that followed weigth each study account. The research team logged into each of the study accounts daily and tracked tweets that mentioned the study account i. We recorded sulport and likes by followed professional and peer accounts versus other Twitter users. In each phase of the study and for each study account, we summed the number of mentions and likes to obtain the number of interactions, both overall and for type of account followed professionals ewight peers versus other Suppott users.

Lesdian girls research team recorded when other Twitter accounts followed seeking over weight women for support study accounts i.

We calculated seeking over weight women for support percentage of organic followers who subsequently hoffman Estates sexual encounters the study accounts.

Characteristics of professional and peer accounts followed by the study accounts were summarized by their median, interquartile range IQRand range. Follow back rates were calculated as the supporrt of accounts professionals or peers, depending on the phase of the study that followed back the study accounts divided by the total number of test accounts followed.

Paired t tests were used to compare follow back rates and number of interactions by study phase professional versus peer.

We also compared the percent of organic followers who subsequently unfollowed the seeking over weight women for support accounts by study phase professional versus peer using paired t tests.

Statistical analyses were conducted using SAS 9. Follow back rates from professional accounts M[SD] 8. When the study accounts followed health care professionals, they experienced an average of 6. Specifically, study accounts received more interactions from peers they followed M[SD] 8. The number of interactions from others on Twitter i.

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Follow backs, organic followers, and interactions when following professional and peer Twitter accounts, by weight category of study accounts.

Study accounts did not attract more organic followers when they followed health care professionals compared to when they followed peers M[SD] 4. However, a higher proportion of organic followers subsequently unfollowed the ho hot sex accounts seekng study accounts followed peers M[SD] The proportion of professional accounts who followed back the study accounts did seeking over weight women for support differ by weight status M[SD] Similarly, the proportion of peer accounts who followed wife looking hot sex Eynon the study accounts did not differ by weight status M[SD] The number of interactions experienced by study accounts seekingg not differ by weight status when they followed professional accounts M[SD] spuport.

The number of organic followers did not differ by weight status in either seeking over weight women for support phase. When following health care professionals, study accounts with obesity had an average of 5.

When following peers, study accounts with obesity had an average of 8. Study accounts experienced more interactions when they followed peers compared to when they followed health care professionals. Organic followers did not differ when study accounts followed health care professionals versus peers, oover a significantly higher percent of organic australian girl groups subsequently unfollowed the study accounts when study accounts did not routinely follow them.

While both health care professional and weightt accounts seeking over weight women for support selected because they were followed by no more than twice as many accounts as they were following, the majority did not follow.

One possible reason is that the seeking over weight women for support accounts did not initiate interactions with the professionals or peers they followed. It may be that women seeking weight loss single muslim sites on Twitter would attract more followers by initiating interactions with the people they follow.

Interaction may beget interaction, thus future studies should explore what level of interaction is necessary to quickly build a community on Twitter.

Greater interaction about weight loss may also lead to more weight loss. One study found that for every ten posts in a Twitter weight loss group, participants lost approximately 0. Moreover, people who tweeted about their seeking over weight women for support loss attempt rated their Twitter connections to be a greater source of positive social influence than their offline friends and family [ 5 ].

We found that study accounts experienced more interactions when they followed peers than when they followed health care professionals, and specifically, that study accounts experienced more interactions from peers they followed than the health care professionals they followed.

Greater interaction by peer accounts may be because peers share a goal of weight loss. Seeking over weight women for support may be hesitant to interact with the nonprofessional user population for fear of being asked for advice which could put them in an uncomfortable position [ 20 ]. Professionals have been shown to be more likely to network with their fir in social media rather than with nonprofessionals [ 920 ].