Social Networking Can Help People Lose Weight

Social networking programmes designed to help people lose weight could play a role in the global fight against obesity, according to research. Analysis by researchers from Imperial College London combining the results of 12 previous studies shows that such programmes have achieved modest but significant results in helping participants lose weight.

The paper is one of 10 reports on global healthcare policy written for the World Innovation Summit for Health (WISH), an initiative of Qatar Foundation, and published today in the journal Health Affairs.

Obesity is an increasing issue in developed and developing countries, contributing to other diseases such as diabetes, cardiovascular disease, cancer and mental health problems and resulting in rising costs for health services.

The inaugural WISH Summit in 2013 convened world experts to discuss innovative ways to address major global health issues, including obesity. One innovation they considered is the use of social networking sites such as Twitter and Facebook to provide obese people with a community of support from both clinicians and peers to help them lose weight.

The researchers compiled data from 12 studies spread across the US, Europe, east Asia and Australia which trialled social networking services for weight loss, involving 1,884 participants in total. The amalgamated results showed that people who used these services achieved a collective decrease in body mass index by a value of 0.64, which the authors describe as modest but significant.

Health policy researcher and surgeon Dr Hutan Ashrafian, the lead author of the study at the Department of Surgery and Cancer, Imperial College London, said: "One advantage of using social media over other methods is that it offers the potential to be much more cost effective and practical for day-to-day use when compared to traditional approaches. The feeling of being part of a community allows patients to draw on the support of their peers as well as clinicians. They can get advice from their doctor without the inconvenience or cost of having to travel, and clinicians can provide advice to many patients simultaneously.

"There are also possible downsides, such as potential privacy issues and a need for the patient to be internet savvy, so it may not be right for everyone.

"The studies we looked at were the first to investigate social media approaches to obesity. There needs to be more research into this area to see what approaches work best for which patients in light of the dramatic global adoption of social media tools and content.

"The use of social media to treat obesity encourages patients to be more pro-active and empowers them to contribute towards their own treatment. It's not the only solution to the obesity epidemic, but it should be introduced as an element of every country's obesity strategy."

H. Ashrafian et al. 'Social Networking Strategies That Aim To Reduce Obesity Have Achieved Significant Although Modest Results.' Health Affairs 33, No. 9 (2014) doi: 10.1377/hlthaff.2014.0370

Most Popular Now

AI Catches One-Third of Interval Breast …

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published...

Great plan: Now We need to Get Real abou…

The government's big plan for the 10 Year Health Plan for the NHS laid out a big role for delivery. However, the Highland Marketing advisory board felt the missing implementation...

Researchers Create 'Virtual Scienti…

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs. Modeled after a well-established Stanford School of Medicine research group, the virtual lab is complete with an...

From WebMD to AI Chatbots: How Innovatio…

A new research article published in the Journal of Participatory Medicine unveils how successive waves of digital technology innovation have empowered patients, fostering a more collaborative and responsive health care...

New AI Tool Accelerates mRNA-Based Treat…

A new artificial intelligence (AI) model can improve the process of drug and vaccine discovery by predicting how efficiently specific mRNA sequences will produce proteins, both generally and in various...

AI also Assesses Dutch Mammograms Better…

AI is detecting tumors more often and earlier in the Dutch breast cancer screening program. Those tumors can then be treated at an earlier stage. This has been demonstrated by...

RSNA AI Challenge Models can Independent…

Algorithms submitted for an AI Challenge hosted by the Radiological Society of North America (RSNA) have shown excellent performance for detecting breast cancers on mammography images, increasing screening sensitivity while...

AI could Help Emergency Rooms Predict Ad…

Artificial intelligence (AI) can help emergency department (ED) teams better anticipate which patients will need hospital admission, hours earlier than is currently possible, according to a multi-hospital study by the...

Head-to-Head Against AI, Pharmacy Studen…

Students pursuing a Doctor of Pharmacy degree routinely take - and pass - rigorous exams to prove competency in several areas. Can ChatGPT accurately answer the same questions? A new...

NHS Active 10 Walking Tracker Users are …

Users of the NHS Active 10 app, designed to encourage people to become more active, immediately increased their amount of brisk and non-brisk walking upon using the app, according to...

New AI Tool Illuminates "Dark Side…

Proteins sustain life as we know it, serving many important structural and functional roles throughout the body. But these large molecules have cast a long shadow over a smaller subclass...

The Human Touch of Doctors will Still be…

AI-based medicine will revolutionise care including for Alzheimer’s and diabetes, predicts a technology expert, but it must be accessible to all patients. Healing with Artificial Intelligence, written by technology expert Daniele...