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BACKGROUND: Social media are increasingly being used by young adults worldwide. The question is whether they can be successfully incorporated into health programmes to promote physical activity. AIMS: To measure the effect of a WhatsApp-based intervention for promoting physical activity among female college students in Abha, Saudi Arabia. METHODS: This randomized controlled trial from November 2019 to January 2020 included 110 students. The intervention group received a brief orientation on exercise and up to 4 physical activity promotion messages per week via WhatsApp for 10 weeks. The messages were obtained from the websites of the US Centers for Disease Control and World Health Organization (WHO). Physical activity was assessed at baseline and at 10-weeks' follow-up using the WHO Global Physical Activity Questionnaire. RESULTS: The 2 groups were similar in sociodemographic and baseline physical activity levels. Postintervention data analysis revealed significant improvement in the proportion of participants with moderate-intensity physical activity in the work and recreation domains. Compared with the control group, mean metabolic equivalents/week of the intervention group improved significantly. The mean difference in total physical activity before and after intervention was significant in all domains and in all categories of activity. The proportion of participants who met the WHO criteria for minimum physical activity per week increased from 69.8% to 90.5% after intervention. CONCLUSION: Social-network-based interventions improve physical activity and may be incorporated into youth-targeted health programmes.

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BACKGROUND: Pandemic influenza A (H1N1) virus emerged and spread globally in the spring of 2009. We describe the clinical features of the patients who were hospitalized with 2009 H1N1 influenza July 2009 to June 2010 in a tertiary care hospital in Khamis Mushyt, Saudi Arabia. We analyzed the clinical and laboratory variables in order to determine predictors of poor outcome. METHODS: We performed a prospective study in all patients who were hospitalized for at least 48 hours and with a positive test for 2009 H1N1 virus through RT-PCR(real time polymerase chain reaction). Their epidemiological, clinical, biochemical characteristics were collected and the hospital course of the patients with eventual outcome (discharge or death) was observed. We applied a logistic regression analysis to determine the best predictor of death. RESULTS: A total of 52 patients (15 males) were adults and 65 were pediatrics (< 12 years of age) (19 males). The common presenting signs and/or symptoms associated with the disease was fever >38.5 ºC (n=85; 72.6%), dry cough (n=81; 69.2%), dyspnea (n=40; 34.5%), tachycardia (n=96; 83.5%) and saturation less than 90% in room air on pulse oximetry (n=65; 55.6%). The complications included pneumonia (40.2 %), intensive care unit admission (19.2%) and death (16.7%). CONCLUSIONS: We found that hypoxia at admission was the most important predictive factor of poor outcome (death) with area under curve of 0.768.