BackgroundThere is currently a lack of information about the uses, benefits, and limitations of social media for health communication among the general public, patients, and health professionals from primary research.ObjectiveTo review the current published literature to identify the uses, benefits, and limitations of social media for health communication among the general public, patients, and health professionals, and identify current gaps in the literature to provide recommendations for future health communication research.MethodsThis paper is a review using a systematic approach. A systematic search of the literature was conducted using nine electronic databases and manual searches to locate peer-reviewed studies published between January 2002 and February 2012.ResultsThe search identified 98 original research studies that included the uses, benefits, and/or limitations of social media for health communication among the general public, patients, and health professionals. The methodological quality of the studies assessed using the Downs and Black instrument was low; this was mainly due to the fact that the vast majority of the studies in this review included limited methodologies and was mainly exploratory and descriptive in nature. Seven main uses of social media for health communication were identified, including focusing on increasing interactions with others, and facilitating, sharing, and obtaining health messages. The six key overarching benefits were identified as (1) increased interactions with others, (2) more available, shared, and tailored information, (3) increased accessibility and widening access to health information, (4) peer/social/emotional support, (5) public health surveillance, and (6) potential to influence health policy. Twelve limitations were identified, primarily consisting of quality concerns and lack of reliability, confidentiality, and privacy.ConclusionsSocial media brings a new dimension to health care as it offers a medium to be used by the public, patients, and health professionals to communicate about health issues with the possibility of potentially improving health outcomes. Social media is a powerful tool, which offers collaboration between users and is a social interaction mechanism for a range of individuals. Although there are several benefits to the use of social media for health communication, the information exchanged needs to be monitored for quality and reliability, and the users’ confidentiality and privacy need to be maintained. Eight gaps in the literature and key recommendations for future health communication research were provided. Examples of these recommendations include the need to determine the relative effectiveness of different types of social media for health communication using randomized control trials and to explore potential mechanisms for monitoring and enhancing the quality and reliability of health communication using social media. Further robust and comprehensive evaluation and review, using a range of methodologies, are required to establish w...
Cancer-related fatigue (CRF) is one of the most prevalent symptoms patients with cancer experience, both during and after treatment. CRF is pervasive and affects patients' quality of life considerably. It is important, therefore, to understand the underlying pathophysiology of CRF in order to develop useful strategies for prevention and treatment. At present, the etiology of CRF is poorly understood and the relative contributions of the neoplastic disease, various forms of cancer therapy, and comorbid conditions (e.g., anemia, cachexia, sleep disorders, depression) remain unclear. In any individual, the etiology of CRF probably involves the dysregulation of several physiological and biochemical systems. Mechanisms proposed as underlying CRF include 5-HT neurotransmitter dysregulation, vagal afferent activation, alterations in muscle and ATP metabolism, hypothalamic-pituitary-adrenal axis dysfunction, circadian rhythm disruption, and cytokine dysregulation. Currently, these hypotheses are largely based on evidence from other conditions in which fatigue is a characteristic, in particular chronic fatigue syndrome and exercise-induced fatigue. The mechanisms that lead to fatigue in these conditions provide a theoretical basis for future research into the complex etiology of this distressing and debilitating symptom. An understanding of relevant mechanisms may offer potential routes for its prevention and treatment in patients with cancer.
BackgroundMobile phone use and the adoption of healthy lifestyle software apps (“health apps”) are rapidly proliferating. There is limited information on the users of health apps in terms of their social demographic and health characteristics, intentions to change, and actual health behaviors.ObjectiveThe objectives of our study were to (1) to describe the sociodemographic characteristics associated with health app use in a recent US nationally representative sample; (2) to assess the attitudinal and behavioral predictors of the use of health apps for health promotion; and (3) to examine the association between the use of health-related apps and meeting the recommended guidelines for fruit and vegetable intake and physical activity.MethodsData on users of mobile devices and health apps were analyzed from the National Cancer Institute’s 2015 Health Information National Trends Survey (HINTS), which was designed to provide nationally representative estimates for health information in the United States and is publicly available on the Internet. We used multivariable logistic regression models to assess sociodemographic predictors of mobile device and health app use and examine the associations between app use, intentions to change behavior, and actual behavioral change for fruit and vegetable consumption, physical activity, and weight loss.ResultsFrom the 3677 total HINTS respondents, older individuals (45-64 years, odds ratio, OR 0.56, 95% CI 0.47-68; 65+ years, OR 0.19, 95% CI 0.14-0.24), males (OR 0.80, 95% CI 0.66-0.94), and having degree (OR 2.83, 95% CI 2.18-3.70) or less than high school education (OR 0.43, 95% CI 0.24-0.72) were all significantly associated with a reduced likelihood of having adopted health apps. Similarly, both age and education were significant variables for predicting whether a person had adopted a mobile device, especially if that person was a college graduate (OR 3.30). Individuals with apps were significantly more likely to report intentions to improve fruit (63.8% with apps vs 58.5% without apps, P=.01) and vegetable (74.9% vs 64.3%, P<.01) consumption, physical activity (83.0% vs 65.4%, P<.01), and weight loss (83.4% vs 71.8%, P<.01). Individuals with apps were also more likely to meet recommendations for physical activity compared with those without a device or health apps (56.2% with apps vs 47.8% without apps, P<.01).ConclusionsThe main users of health apps were individuals who were younger, had more education, reported excellent health, and had a higher income. Although differences persist for gender, age, and educational attainment, many individual sociodemographic factors are becoming less potent in influencing engagement with mobile devices and health app use. App use was associated with intentions to change diet and physical activity and meeting physical activity recommendations.
Introduction Breast cancer survivors experience diminished health-related quality of life (HRQOL). We report on the influence of tai chi chuan exercise (TCC) on HRQOL and explore associations between changes in HRQOL and biomarkers. Methods Breast cancer survivors (N=21) were randomly assigned to TCC or standard support therapy (SST) for 12 weeks (three times/week; 60 min/session). Interleukin-6, interleukin-8 (IL-8), insulin-like growth factor-1 (IGF-1), insulin-like growth factor-binding protein (IBFBP)-1, IGFBP-3, glucose, insulin, and cortisol were measured pre- and postintervention. Overall HRQOL and subdomains were assessed at preintervention (T1), midintervention (T2) and postintervention (T3) and biomarkers at T1 and T3. Results The TCC group improved in total HRQOL (T1–T2: CS=8.54, P=0.045), physical functioning (T1–T2:CS=1.89, P=0.030), physical role limitations (T1–T2 CS=1.55, P=0.023), social functioning (T1–T3:CS=1.50, P=0.020), and general mental health (T1–-T2:CS=2.67, P=0.014; T1–T3: CS=2.44, P=0.019). The SST improved in social functioning (T1–T2:CS=0.64, P=0.043) and vitality (T1–T2:CS=0.90, P=0.01). There were relationships between changes in IGF-1 and overall HRQOL (r=−0.56; P<0.05), physical role limitation (r=−0.68; P<0.05), and social functioning (r=−0.56; P<0.05). IGFBP-1 changes were associated with physical role limitation changes (r=0.60; P<0.05). IGFBP-3 changes were associated with physical functioning changes (r=0.46; P≤0.05). Cortisol changes were associated with changes in physical role limitations (r=0.74; P<0.05) and health perceptions (r=0.46; P<0.05). Glucose changes were associated with emotional role limitation changes (r=−0.70; P<0.001). IL-8 changes were associated with emotional role limitation changes (r=0.59; P<0.05). Discussion/conclusions TCC may improve HRQOL by regulating inflammatory responses and other biomarkers associated with side effects from cancer and its treatments. Implications for cancer survivors TCC may be an intervention capable of improving HRQOL in breast cancer survivors.
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