Effect of a mobile application and smart devices on heart rate variability in diabetic patients with high cardiovascular risk: A sub-study of the LIGHT randomized clinical trial.

BACKGROUND: This investigation aims to evaluate the effect of a mobile application and smart devices on frequency and time domains of heart rate variability (HRV) in diabetic patients in 1-year follow-up. METHODS: This is post-hoc analysis of a diabetic subgroup of "Lifestyle Intervention usinG mobile technology in patients with high cardiovascular risk: a pragmatic randomized clinical Trial" (LIGHT). One hundred and nine and 118 patients were enrolled in two arms: the intervention plus usual care and the usual care arm. The study outcome was the 1-year HRV parameters adjusted to the baseline HRV parameters. HRV measures were recorded for every patient at the randomization and final visits with 24-hour Holter monitoring. RESULTS: There was an improvement in the standard deviation of normal to normal (SDNN) R-R intervals 24-hour by 4.8 (adjusted treatment effect 4.8, 95% confidence interval [CI], 0.1-9.5; P = 0.044) in the intervention-plus-usual-care arm compared to usual care after a 1-year follow-up. The improvement was also experienced in other HRV time domains including standard deviation of the mean R-R intervals calculated over a 5-minute period, SDNN, square root of the mean squared difference of successive R-R intervals, and the percentage of the differences between adjacent normal R-R intervals exceeding 50 milliseconds. A significant enhancement was also detected in HRV frequency domains of total power low frequency and high frequency in the intervention plus usual care compared to usual care after a 1-year follow-up. CONCLUSIONS: The mobile application and smart device technology compared to usual care alone improved HRV parameters in diabetic patients at 1-year follow-up.

Evaluation of websites reached using Google in the modern digital era related to approach to cholesterol.

OBJECTIVE: The Google search engine is widely used as a source of medical information; however, legal and medical governance of the accuracy of the content retrieved is lacking. The aim of this study was to assess the most read Turkish-language texts related to cholesterol during a specific period according to the validity of the content. METHODS: Google Trends was queried on January 5, 2019 for the search term 'cholesterol' and the 9 other most popular search phrases used in Turkey that included the word cholesterol. In all, 100 links were obtained for each phrase, generating a total of 1000 links. Once duplicates were eliminated, a total of 604 links was used for the study. Since there is currently no validation scoring system for this purpose in the literature, the authors created a checklist according to well-accepted recent guidelines focused on cholesterol. The content of the texts acquired was classified as misleading, insufficient but favorable, or sufficient and favorable. RESULTS: The source of the online texts studied was universities (n=8, 1.3%), hospitals (n=6, 0.9%), personal blogs (n=200, 33.1%), health websites (n=183, 30.2%), and medical journals (n=207, 34.2%). In all, 235 texts (38.9%) were classified as sufficient and favorable and 35 (5.7%) were categorized as misleading. A medical practitioner was named in 378 texts (62.5%). All of the results from universities and hospitals were ranked in the favorable group. A statistical difference in the word count was seen in a comparison of the misleading and favorable texts. CONCLUSION: Google can connect users to a significant quantity of material related to cholesterol that includes a wide range from misleading information to sufficient and favorable texts. The variation in the quality of the content on websites accessible via Google necessitates that cholesterol resource material should be selected with great care.