Details

Autor(en) / Beteiligte

• McGuire, S
• Witte, M
• Kallarackal, A
• Basner, M

Titel

0162 PILOT STUDY EXAMINING THE EFFECTS OF AIRCRAFT NOISE ON SLEEP IN COMMUNITIES NEAR PHILADELPHIA INTERNATIONAL AIRPORT

Ist Teil von

• Sleep (New York, N.Y.), 2017-04, Vol.40 (suppl_1), p.A60-A61

Ort / Verlag

US: Oxford University Press

Erscheinungsjahr

2017

Link zum Volltext

Quelle

Oxford Journals 2020 Medicine

Beschreibungen/Notizen

• Abstract Introduction: Aircraft noise can disturb sleep and impair recuperation. Field studies need to be conducted to develop exposure-response models that are representative of noise exposed communities around multiple airports to inform policy. A methodology of monitoring sleep and identifying awakenings based on ECG and actigraphy has been developed. This approach is non-invasive and study participants can use the equipment unattended which greatly reduces the methodological cost compared to polysomnography. To evaluate its feasibility, this methodology was implemented in a pilot field study conducted in the vicinity of Philadelphia International Airport. Methods: Eighty participants were enrolled in the study; 39 exposed to nighttime aircraft noise (41% male, 22–77 years) and 40 from a control region (48% male, 22–68 years) completed measurements. Baseline sleep and health characteristics were obtained subjectively on the first day. The participants then completed three consecutive nights of unattended ECG and actigraphy measurements with concurrent sound recordings in their bedroom. Blood pressure and brief questionnaires subjectively assessing their sleep were additionally completed each morning. Results: Linear mixed models were calculated, controlling for age, gender, and BMI, to examine differences between the two groups of participants. Individuals living near the airport reported poorer sleep quality on the PSQI (p=0.0180) and worse health on the SF-36 (p=0.0074) surveys. No statistically significant differences were found for the morning sleep assessments, diastolic (p=0.7108) and systolic (p=0.3255) blood pressure, or sleep fragmentation index (p=0.6986) (calculated based on the ECG and actigraphy data). A random effect logistic regression was calculated to examine whether the indoor noise level of single aircraft events related to objective measurements of awakenings. The coefficient for noise level was positive and statistically significant (p=0.0094). Conclusion: This study demonstrates the feasibility of unattended physiological and noise measurements. The conflicting results between single event and cumulative sleep assessments require further investigation. Support (If Any): This study was funded by the FAA ASCENT Center of Excellence. Opinions, findings, conclusions and recommendations expressed in this material are those of the authors and do not necessarily reflect the views of ASCENT sponsoring organizations.