You know that person you work with, the one that always seems to be in a bad mood, the one that never smiles, the one that never has a nice thing to say and complains about every little thing? The person that just seems miserable? I don’t think any of us would say: “Oh, I want to be just like him or her!”
Now think about the person who attracts you and who you want to be around. It’s the person that’s full of life, who is happy and grateful, and who can always find kind words to say and share a smile. It’s the person with that contagious smile that radiates and instantly lifts your spirits, the type of person who is sure of themselves and who isn’t afraid to say “no.”
As individuals, we are unique and we have the ability to build a life filled with passion, purpose, happiness and vitality. By taking the goodness and strength that lies within us, we can become a positive magnet for others. Read more »
*This blog post was originally published at Health in 30*
This is the era of evidence-based social media as more and more papers focusing on medicine and social media are coming out. An interesting paper was published a few days ago in the American Journal of Infection Control. Scanfeld et al. tried to reveal the rate of misunderstanding or misuse of antibiotics in Twitter messages in their study: Dissemination of health information through social networks: Twitter and antibiotics.
BACKGROUND: This study reviewed Twitter status updates mentioning “antibiotic(s)” to determine overarching categories and explore evidence of misunderstanding or misuse of antibiotics.
METHODS: One thousand Twitter status updates mentioning antibiotic(s) were randomly selected for content analysis and categorization. To explore cases of potential misunderstanding or misuse, these status updates were mined for co-occurrence of the following terms: “cold + antibiotic(s),” “extra + antibiotic(s),” “flu + antibiotic(s),” “leftover + antibiotic(s),” and “share + antibiotic(s)” and reviewed to confirm evidence of misuse or misunderstanding.
RESULTS: Of the 1000 status updates, 971 were categorized into 11 groups. Cases of misunderstanding or abuse were identified for the following combinations: “flu + antibiotic(s)” (n = 345), “cold + antibiotic(s)” (n = 302), “leftover + antibiotic(s)” (n = 23), “share + antibiotic(s)” (n = 10), and “extra + antibiotic(s)” (n = 7).
CONCLUSION: Social media sites offer means of health information sharing. Further study is warranted to explore how such networks may provide a venue to identify misuse or misunderstanding of antibiotics, promote positive behavior change, disseminate valid information, and explore how such tools can be used to gather real-time health data.
*This blog post was originally published at ScienceRoll*