Analysis and prediction of addiction among virtual reality users.

Objective: To understand the addiction situation and influencing factors of virtual reality users, and provide reference basis for timely and effective prevention and intervention of user addiction.

Methods: Based on a questionnaire survey, univariate analysis, multivariate analysis, and model prediction were conducted on the data of 1164 participants in VR related Facebook groups and Reddit subedits.

Results: The single factor analysis results show that the user's own attributes, usage duration, perception level, and application types of virtual reality devices can significantly affect the degree of addiction; The results of multivariate analysis showed that the age of users, the number of days used per week, the number of hours used per day, and the perceived level of the device can significantly affect the probability of addiction.

Improving smoking cessation outcomes in secondary care: Predictors of hospital staff willingness to provide smoking cessation referral.

Since implementation of the New Smoking Cessation Policy in Taiwan, more patients are attending smoking cessation clinics. Many of these patients were referred by hospital staff. Thus, factors which influence the hospital staff's willingness to refer are important.

Depression as the Primary Cause of Insomnia and Excessive Daytime Sleepiness in a Family with Multiple Cases of Spinocerebellar Ataxia.

Spinocerebellar ataxia (SCA) is a hereditary disease characterized by central nervous system-related motor dysfunctions. Sleep disorders and frequent non-motor manifestations are commonly comorbid with SCA. To elucidate this relationship, we present three cases in a family that included multiple SCA type 2 patients with various sleep disorders.

Mean arterial pressure is better at predicting future metabolic syndrome in the normotensive elderly: a prospective cohort study in Taiwan.

Objective: To compare four different blood pressure (BP) measurements-systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP), and pulse pressure (PP)-in predicting future metabolic syndrome (MetS) among the normotensive elderly population, and to estimate the optimal cutoff value of the best single measurement for clinical practice.

Methods: A total of 2782 non-medicated participants aged ≥ 60 years were enrolled in a standard health examination program in Taiwan from January 2004 to December 2013. Two thirds of the participants were randomly designated as the training group (n=1855) and the other one third as the validation group (n=927).

High normotension is associated with higher metabolic syndrome risk in postmenopausal women.

Aim: Cardiovascular disease and diabetes are important causes for mortality in older people. Both hypertension and prehypertension are correlated with them. Recently, health promotion and disease prevention in postmenopausal women have become an essential issue of public health policy.