Efficacy of Pharmacotherapy for Seasonal Influenza in Young and Middle-aged Adults: A Systematic Review and Network Meta-analysis.

Background Seasonal influenza affects healthcare demand. However, the efficacy of anti-influenza drugs, particularly among young patients at a low risk of complications, has rarely been evaluated. Therefore, we evaluated the efficacy of anti-influenza drugs against seasonal influenza in healthy young and middle-aged adults. Methods A systematic review and network meta-analysis were conducted. The Cochrane Central Register of Controlled Trials and Medical Literature Analysis and Retrieval System Online were searched for original articles reporting double-blind, randomized controlled trials published up to the end of July 2023. Clinical trials that tested the efficacy of anti-influenza drugs in young and middle-aged patients with seasonal influenza were also included. The primary outcome was time to fever alleviation. The efficacy and adverse effects of these treatments were estimated using a Bayesian hierarchical random-effects model and a Markov chain Monte Carlo simulation. Results In total, 24 articles with 34 treatments and 8,949 individuals were included. Oseltamivir (300 mg/day for 5 days) showed the largest reduction in time to fever alleviation by -19.1 (95% confidence interval [CI]: -29.4, -10.7) h compared with a placebo. Baloxavir marboxil (40 mg/day) reduced the time to symptom alleviation by -28.2 (95% CI: -42.7, -13.7) h, and peramivir (300 mg/day) administered by intravenous infusion for 1 day reduced the time to resumption of usual activities by -43.5 (95% CI: -72.8, -14.2) h. Conclusion Several pharmaceutical treatments were able to reduce the recovery time for fever and symptom alleviation and resumption of usual activities in young and middle-aged adults with seasonal influenza without increasing the risk of complications.

Frequency of Going Outdoors and Risk of Poor Oral Health Among Older Japanese Adults: A Longitudinal Cohort From the Japan Gerontological Evaluation Study.

BACKGROUND: The association between the frequency of going outdoors and the risk of poor oral health has been reported in several studies; however, the findings have been inconclusive. METHODS: We conducted a 3-year longitudinal study of 19,972 Japanese adults aged ≥65 years who reported no poor oral condition at baseline in 2013. The respondents rated their frequency of going outdoors in three categories (≤1, 2-3, or ≥4 times/week), and the oral conditions reported in 2016 included tooth loss, chewing difficulty, swallowing difficulty, dry mouth, and composite outcomes. The associations between the frequency of going outdoors and the risk of poor oral health were examined as relative risk ratios (RRs) and 95% confidence intervals (CIs) using multivariable Poisson regression, while mediation analysis was performed to investigate indirect effects. RESULTS: During the follow-up, 32.5% of participants developed poor oral health. In the mediation analysis, indirect effects were observed through low instrumental activities of daily living, depressive symptoms, little social network diversity, and underweight. Compared to going outdoors ≥4 times/week, the multivariable RRs of composite poor oral health conditions were 1.12 (95% CI, 1.05-1.20) for 2-3 times/week and 1.22 (95% CI, 1.07-1.39) for ≤1 time/week (P-trend < 0.001). Similar associations were observed for tooth loss, chewing difficulty, and swallowing difficulty; the corresponding RRs were 1.07 (95% CI, 0.97-1.19) and 1.36 (95% CI, 1.13-1.64) (P-trend = 0.002), 1.18 (95% CI, 1.06-1.32) and 1.30 (95% CI, 1.05-1.60) (P-trend < 0.001), and 1.15 (95% CI, 1.01-1.31) and 1.38 (95% CI, 1.08-1.77) (P-trend = 0.002), respectively. CONCLUSION: The frequency of going outdoors was inversely associated with the risk of poor oral health through several modifiable risk factors in the older population.

The Efficacy of an mHealth App in Facilitating Weight Loss Among Japanese Fitness Center Members: Regression Analysis Study.

BACKGROUND: Self-tracking smartphone apps have emerged as promising tools to encourage healthy behaviors. In this longitudinal study, we used gym use data from members of a major fitness club that operates gyms throughout Japan from January 2014 to December 2019. OBJECTIVE: Our objective was to assess the extent to which a health and fitness self-tracking mobile app introduced to gym members on January 1, 2018, contributed to their weight loss. The app allows users to input information regarding diet, sleep, weight, and gym exercise so that they can receive personalized feedback from an artificial intelligence chatbot to improve their health behaviors. METHODS: We used linear regression to quantify the association between app use and weight loss. The primary outcome of the study was the weight loss achieved by each gym user, which was calculated as the difference between their initial and final weights in kilograms, as recorded in the app. Individuals who did not attend the gym or failed to use the mobile app at least twice during the study period were excluded from the analysis. The model accounted for age, gender, distance between the gym and the member's residence, average weekly number of times a member used the gym, user's gym membership length in weeks, average weekly number of times a member input information into the app, and the number of weeks that the app was used at least once. RESULTS: Data from 26,589 participants were analyzed. Statistically significant associations were detected between weight loss and 2 metrics related to app use: the average weekly frequency of use and the total number of weeks in which the app was used at least once. One input per week was found to be associated with a loss of 62.1 (95% CI 53.8-70.5) g, and 1 week of app use was associated with 21.7 (95% CI 20.5-22.9) g of weight loss from the day of the first input to that of the final input to the app. Furthermore, the average number of times that a member used the gym weekly was also shown to be statistically significantly associated with weight loss: 1 use per week was associated with 255.5 (95% CI 228.5-282.6) g of weight loss. CONCLUSIONS: This empirical study demonstrated a significant association between weight loss among gym members and not only the frequency of weekly gym use but also the use of a health and fitness self-tracking app. However, further work is needed to examine the mechanisms through which mobile apps affect health behaviors and to identify the specific app features that are most effective in promoting weight loss.