Background: Stroke has been linked to a lack of physical activity; however, the extent of the association between inactive lifestyles and stroke risk has yet to be characterized across large populations.Purpose: This study aimed to explore the association between activity‐related behaviors and stroke incidence.Methods: Data from 1999 to 2018 waves of the concurrent cross‐sectional National Health and Nutrition Examination Survey (NHANES) were extracted. We analyzed participants characteristics and outcomes for all participants with data on whether they had a stroke or not and assessed how different forms of physical activity affect the incidence of disease.Results: Of the 102,578 individuals included, 3851 had a history of stroke. A range of activity‐related behaviors was protective against stroke, including engaging in moderate‐intensity work over the last 30 days (OR = 0.8, 95% CI = 0.7–0.9; P = 0.001) and vigorous‐intensity work activities over the last 30 days (OR = 0.6, 95% CI = 0.5–0.8; P < 0.001), and muscle‐strengthening exercises (OR = 0.6, 95% CI = 0.5–0.8; P < 0.001). Conversely, more than 4 h of daily TV, video, or computer use was positively associated with the likelihood of stroke (OR = 11.7, 95% CI = 2.1–219.2; P = 0.022).Conclusion: Different types, frequencies, and intensities of physical activity were associated with reduced stroke incidence, implying that there is an option for everyone. Daily or every other day activities are more critical in reducing stroke than reducing sedentary behavior duration.

Kinesio taping is widely used in musculoskeletal conditions. We performed a systematic review and meta-analysis on the efficacy of kinesio taping in musculoskeletal disorders compared to other interventions. Twelve electronic databases were used for systemic search and data relevant to pain and disability were extracted. The protocol was registered in PROSPERO (CRD42018087606). Meta-analysis was performed to compare the efficacy of kinesio taping to other modalities of musculoskeletal disorders. As a result, 36 studies were included in the quantitative analysis. Kinesio taping was found to provide an improvement of both pain and disability when applied to any region of the body. In the first five days of application, kinesio taping significantly reduced the pain in all body regions (SMD = −0.63, 95%CI: −0.87, −0.39). This was also noted after four-to-six weeks of application (SMD = −0.76, 95%CI: −1.07, −0.45). When kinesio taping was used for disability in low back pain patients, it significantly reduced the disability within five days of application (SMD = −0.70, 95%CI: −1.29, −0.11). Finally, kinesio taping has shown an improvement of the disability in all body regions after four-to-six weeks of application (SMD = −0.59, 95%CI: −0.96, −0.22). Our findings support kinesio taping as an adjuvant to other treatments for musculoskeletal disorders. Abbreviations KT = Kinesio taping; MSK = musculoskeletal; SD = standard deviation; CR = conventional rehabilitation; NDI = Neck Disability Index; NPS = Numerical Pain Scale; CTM = Cervical Thrust Manipulation; PIR = Post-isometric muscle relaxation; NPRS Numerical Pain Rating Scale; OA = osteoarthritis; ROM = Range of motion; VAS = visual analogue scale; VAS-W = visual analogue scale-worst pain; VAS-U = visual analogue scale-usual pain; VAS-R = visual analogue scale-resting pain; VAS-A = visual analogue scale-activity pain; VAS-N = visual analogue scale-night pain; NPDS = Neck Pain Disability Scale; QA = Quality assessment

Zika virus infection in humans has been linked to severe neurological sequels and foetal malformations. The rapidly evolving epidemics and serious complications made the frequent updates of Zika virus mandatory. Web search query has emerged as a low-cost real-time surveillance system to anticipate infectious diseases’ outbreaks. Hence, we developed a prediction model that could predict Zika-confirmed cases based on Zika search volume in Google Trends. We extracted weekly confirmed Zika cases of two epidemic countries, Brazil and Colombia. We got the weekly Zika search volume in the two countries from Google Trends. We used standard time-series regression (TSR) to predict the weekly confirmed Zika cases based on the Zika search volume (Zika query). The basis TSR model – using 1-week lag of Zika query and using 1-week lag of Zika cases as a control for autocorrelation – was the best for predicting Zika cases in Brazil and Colombia because it balanced the performance of the model and the advance time in the prediction. Our results showed that we could use Google search queries to predict Zika cases 1 week earlier before the outbreak. These findings are important to help healthcare authorities evaluate the outbreak and take necessary precautions.