No abstract

Aim: Internet addiction disrupts the daily lives of adolescents. We investigated the prevalence of Internet addiction in junior high school students, elucidated the relation between Internet addiction and mental states, and determined the factors associated with Internet addiction in adolescents.Methods: Junior high school students (aged 12-15 years) were assessed using Young's Internet Addiction Test (IAT), the Japanese version of the General Health Questionnaire (GHQ), and a questionnaire on access to electronic devices.Results: Based on total IAT scores, 2.0% (male, 2.1%; female, 1.9%) and 21.7% (male, 19.8%; female, 23.6%) of the total 853 participants (response rate, 97.6%) were classified as addicted and possibly addicted, respectively. Total GHQ scores were significantly higher in the addicted (12.9 AE 7.4) and possibly addicted groups (8.8 AE 6.0) than in the non-addicted group (4.3 AE 4.6; P < 0.001, both groups). A comparison of the percentage of students in the pathological range of GHQ scores revealed significantly higher scores in the possibly addicted group than in the non-addicted group. Further, accessibility to smartphones was significantly associated with Internet addiction.Conclusion: Students in the addicted and possibly addicted groups were considered 'problematic' Internet users. Use of smartphones warrants special attention, being among the top factors contributing to Internet addiction.

The prevalence of moderate to severe SDB (RDI > or = 15) was 22.3% in this Japanese male working population aged 23 to 59, measured in participant's usual life settings. Unattended home monitoring with type 3 portable monitors and actigraphy was highly reliable and may be suitable for analyzing SDB in the usual lifestyle setting.

Bedtime activities, sleep environment, and their impact on sleep/wake patterns were assessed in 509 elementary school children (6-12 years of age; 252 males and 257 females). Television viewing, playing video games, and surfing the Internet had negative impact on sleep/wake parameters. Moreover, presence of a television set or video game in the child's bedroom increased their activity before bedtime. Time to return home later than 8 p.m. from after-school activity also had a negative impact on sleep/wake patterns. Health care practitioners should be aware of the potential negative impact of television, video games, and the Internet before bedtime, and also the possibility that late after-school activity can disturb sleep/wake patterns.

Patients with less severe obstructive sleep apnoea (OSA) are usually prescribed oral appliances and/or smaller optimal nasal continuous positive airway pressure (PnCPAP) in nCPAP therapy. We hypothesised that OSA patients with greater PnCPAP would not respond favourably to oral appliances.Oral appliances were inserted in nCPAP users after washing-out the nCPAP effect. Follow-up polysomnography was undertaken with the adjusted oral appliance in place. The predictability of PnCPAP was evaluated with receiver-operating characteristic (ROC) curves.The median baseline apnoea/hypopnoea index (AHI) was reduced with the oral appliance from 36 to 12 events?h -1 in 35 patients. When responders were defined as patients showing a follow-up AHI of ,5 events?h -1 with .50% reduction in baseline AHI, the area under the ROC curve for PnCPAP was 0.76. The best cut-off value of PnCPAP turned out to be 10.5 cmH 2 O with a high negative predictive value (0.93) and a low negative likelihood ratio (0.18). OSA patients with a PnCPAP of .10.5 cmH 2 O are unlikely to respond to oral appliance therapy. This prediction is clinically helpful to both OSA patients and medical personnel in discussing oral appliances as a temporary substitute and/or alternative for nCPAP.