Effect of Noise on Sleep and Autonomic Activity in Children according to Source.

BACKGROUND: Noise has been a major issue in children due to its effect on emotional symptoms and sleep problems. The present study investigated the effect of noise on sleep and autonomic activity in children according to three variables, namely, road traffic noise, aircraft noise, and noise sensitivity (NS). METHODS: The study is epidemiological in nature. A total of 474 subjects of four elementary schools were evaluated in conjunction with the 2014 noise map data gathered from two metropolitan regions, Seoul and Ulsan, in South Korea. Each subject completed the children's sleep habits questionnaire, and heart rate variability (HRV) was recorded. Analysis of covariance was performed using monthly income as a covariate. RESULTS: Aircraft noise was associated with night waking (P = 0.047), whereas no significant association was observed between sleep and road traffic noise. After stratifying by NS, no significant results were obtained for road traffic noise. However, high levels of aircraft noise in the high-NS group were associated with high degrees of bedtime resistance (P = 0.049). In terms of HRV, no significant difference was observed in the results between groups. CONCLUSION: Road traffic noise did not significantly alter sleep or autonomic activity in children, whereas aircraft noise exerted a negative effect on sleep. The findings suggest that the impact of noise on sleep in children varies depending on noise sources.

Predictors of success at six-month follow-up at a public smoking cessation clinic in South Korea.

INTRODUCTION: Our objective was to identify the factors related to returning to smoking by analyzing data obtained from a smoking cessation clinic. METHODS: We analyzed data from 2,089 subjects (age 44.0 ± 12.9 years) who started a smoking cessation program between 16 July 2007 and 31 December 2008 in a community health center in the city of Ulsan. We analyzed demographic information and clinical variables using Kaplan-Meier survival analysis and calculated the hazard ratio for returning to smoking. RESULTS: Mean abstinence time differed according to the following factors: sex, past attempts to quit, employment status, type of health insurance, CO levels, results from Fagerstrom test for nicotine dependence (FTND), number of cigarettes smoked daily, use of a nicotine replacement, and number of contacts in the program. Using multivariate analysis, we identified negative relationships between treatment intensity and hazard ratio for the following: visits ≤4 (Exp(B) = 3.752, P < 0.001, reference: 5 visits ≤), telephone contacts ≤5 (Exp(B) = 10.528, P < 0.001, reference: 6 calls ≤) and SMS ≤ 20 (Exp(B) = 3.821, P < 0.001 in 0-10 group; Exp(B) = 1.407, P = 0.003 for the 11-20 group; reference: 21 messages ≤). DISCUSSION: Type of insurance, baseline CO, FTND level, and intensity of smoking cessation intervention positively affects outcomes in a smoking cessation clinic. A cost-effectiveness study on the intensity of interventions in smoking cessation clinics is needed.

The association of psychosocial and familial factors with adolescent suicidal ideation: A population-based study.

We aimed to compare the influence of various parental factors on adolescent suicidal ideas from a population-based sample of 2965 adolescents between 15 to 18 years-old, and their parents. Among the subject variables, gender, satisfaction with one's health, having an illness, and satisfaction with family; and among parental variables, fathers' satisfaction with health; mothers' insufficient sleep; parents' history of suicidal ideation, and satisfaction with family were significantly different in adolescents who reported suicidal ideation compared to those who reported none. Odds ratios indicated increased risk of adolescent suicidal ideation was associated with the subject factors female gender, insufficient sleep, dissatisfaction with one's health, dissatisfaction with family, and with maternal data showing insufficient sleep and a positive history of suicidal impulse. A path analysis model (comparative fit index (CFI)=0.907; root mean square error of approximation (RMSEA)=0.047), indicated psychosocial factors (beta=0.232) had a greater influence on adolescent suicidal ideation than did genetic factors (beta=0.120). These results show psychosocial factors have an almost two-fold greater influence on adolescent suicidal ideation than genetic factors. Assessment and modification of these factors would greatly assist future interventions.