Low Income as a Vulnerable Factor to the Effect of Noise on Insomnia.
- Author:
Choongman PARK
1
;
Chang Sun SIM
;
Joo Hyun SUNG
;
Jiho LEE
;
Joon Ho AHN
;
Young Min CHOE
;
Jangho PARK
Author Information
- Publication Type:Original Article
- Keywords: Noise; Insomnia; Income; Mental health; Cross-sectional study
- MeSH: Anxiety; Cross-Sectional Studies; Depression; Family Characteristics; Incidence; Korea; Life Style; Logistic Models; Mental Health; Negotiating; Noise*; Odds Ratio; Seoul; Sleep Initiation and Maintenance Disorders*
- From:Psychiatry Investigation 2018;15(6):602-612
- CountryRepublic of Korea
- Language:English
- Abstract: OBJECTIVE: The present study aimed to examine the potential mediating effect of income level on the association between noise exposure and insomnia. METHODS: 706 individuals were evaluated in conjunction with 2014 noise map data from Seoul, South Korea. Cross-sectional analysis was performed to examine differences in noise level according to household income, while three separate logistic regression models were used to examine factors influencing insomnia. Odds ratios (ORs) were calculated after adjusting for depression, anxiety, auditory acuity and noise sensitivity in the first model. Analyses were adjusted for sociodemographic variables in the second model, lifestyle factors and medical illnesses in the third model. RESULTS: Noise level was significantly associated with an increased risk of insomnia in the low-income group, although no such association was observed in the high-income group. Groups exposed to >60 dB of noise (Lden; day-evening-night equivalent) exhibited a 1.79-fold increase in the incidence of insomnia relative to those exposed to <50 dB. The result was significant after adjusting sociodemographic variables, although not significant when adjusted for lifestyle factors and medical illnesses. CONCLUSION: Individuals with low income may be more vulnerable to the deleterious effects of noise exposure on health. Various aspects including income should be considered to ascertain the influence of noise on insomnia.
