scholarly journals Extended High-Frequency Thresholds in College Students: Effects of Music Player Use and Other Recreational Noise

2013 ◽  
Vol 24 (08) ◽  
pp. 725-739 ◽  
Author(s):  
Colleen G. Le Prell ◽  
Christopher Spankovich ◽  
Edward Lobariñas ◽  
Scott K. Griffiths
Keyword(s):  
College Students ◽  
High Frequency ◽  
Noise Exposure ◽  
Population Level ◽  
Primary Objective ◽  
Repeated Testing ◽  
Listening Levels ◽  
Threshold Testing ◽  
Human Hearing ◽  
Music Player

Background: Human hearing is sensitive to sounds from as low as 20 Hz to as high as 20,000 Hz in normal ears. However, clinical tests of human hearing rarely include extended high-frequency (EHF) threshold assessments, at frequencies extending beyond 8000 Hz. EHF thresholds have been suggested for use monitoring the earliest effects of noise on the inner ear, although the clinical usefulness of EHF threshold testing is not well established for this purpose. Purpose: The primary objective of this study was to determine if EHF thresholds in healthy, young adult college students vary as a function of recreational noise exposure. Research Design: A retrospective analysis of a laboratory database was conducted; all participants with both EHF threshold testing and noise history data were included. The potential for “preclinical” EHF deficits was assessed based on the measured thresholds, with the noise surveys used to estimate recreational noise exposure. Study Sample: EHF thresholds measured during participation in other ongoing studies were available from 87 participants (34 male and 53 female); all participants had hearing within normal clinical limits (≤25 HL) at conventional frequencies (0.25–8 kHz). Results: EHF thresholds closely matched standard reference thresholds [ANSI S3.6 (1996) Annex C]. There were statistically reliable threshold differences in participants who used music players, with 3–6 dB worse thresholds at the highest test frequencies (10–16 kHz) in participants who reported long-term use of music player devices (>5 yr), or higher listening levels during music player use. Conclusions: It should be possible to detect small changes in high-frequency hearing for patients or participants who undergo repeated testing at periodic intervals. However, the increased population-level variability in thresholds at the highest frequencies will make it difficult to identify the presence of small but potentially important deficits in otherwise normal-hearing individuals who do not have previously established baseline data.

scholarly journals Analysis of the Actual One-Month Usage of Portable Listening Devices in College Students

2021 ◽  
Vol 18 (16) ◽  
pp. 8550
Author(s):  
Gibbeum Kim ◽  
Jihun Shin ◽  
Changgeun Song ◽  
Woojae Han
Keyword(s):  
College Students ◽  
Hearing Loss ◽  
Noise Exposure ◽  
Scientific Data ◽  
Large Individual ◽  
Real Time Measurement ◽  
Listening Levels ◽  
Long Time ◽  
User Data ◽  
The Mean

Although contemporary researchers are concerned about overexposure of portable listening devices (PLD) for adolescents and young adults who often prefer listening to music at high levels for a long time, many of these studies have focused on either comparing sound pressure levels of various kinds of earphones or evaluating the recognition of noise-included hearing loss and listening habits through surveys. Further still, current criteria were developed for occupational noise-induced hearing loss, so there are only a few published guidelines for hearing insults due to recreational noise exposure. The present study, therefore, measures actual listening levels and PLD time in college students using a real-time measurement system and applying that gathered scientific data to the internationally recommended noise exposure standards. Thirty-four college students were asked to listen to music similar to their daily lifestyles for 4-weeks. After installing the application, the Google account that linked to the user’s mobile phone was logged into the server communication. When a subject listened to music, the average and maximum listening levels and listening time could then be recognized as his or her Google account ID and stored in the database for analysis. User data was measured at 1-s intervals and delivered to the main server system every 5 s. The data were analyzed as LZeq for mean levels and LCpeak for maximum levels, and also for PLD use time. The mean of the preferred listening level was 68–70 dB SPL for 4 weeks with long enough break times. That is, the listening levels of college students were not high enough to induce instant hearing loss when they used PLD. However, there was a large individual difference in the listening levels and use times. When applied to three recommended noise exposure criteria, the number of exceeded subjects also differed from 0 to 56.72% depending on the criterion. We thus suggest that appropriate and standardized criteria for music-induced hearing loss might be proposed for recreational PLD users.

scholarly journals Broadened Population-Level Frequency Tuning in Human Auditory Cortex of Portable Music Player Users

PLoS ONE ◽  
2011 ◽  
Vol 6 (3) ◽  
pp. e17022 ◽  
Author(s):  
Hidehiko Okamoto ◽  
Henning Teismann ◽  
Ryusuke Kakigi ◽  
Christo Pantev
Keyword(s):  
Auditory Cortex ◽  
Frequency Tuning ◽  
Population Level ◽  
Human Auditory Cortex ◽  
Music Player

scholarly journals Evaluation of Recreational Noise Exposure and High Frequency Hearing Thresholds of University Students with Normal Hearing Between 125-8,000 Hz

2021 ◽  
Vol 29 (2) ◽  
pp. 119-126
Author(s):  
Banu MÜJDECİ ◽  
Şule KAYA ◽  
Meltem TULĞAR ◽  
Kürşad KARAKOÇ ◽  
Mustafa KARABULUT ◽  
...  
Keyword(s):  
University Students ◽  
High Frequency ◽  
Noise Exposure ◽  
Normal Hearing ◽  
Hearing Thresholds

scholarly journals Audiometric notch and extended high-frequency hearing threshold shift in relation to total leisure noise exposure: An exploratory analysis

2017 ◽  
Vol 19 (91) ◽  
pp. 263 ◽  
Author(s):  
Veronika Weilnhammer ◽  
Wenjia Wei ◽  
Stefanie Heinze ◽  
DorisG Gerstner ◽  
SandraM Walser ◽  
...  
Keyword(s):  
High Frequency ◽  
Noise Exposure ◽  
Hearing Threshold ◽  
Exploratory Analysis ◽  
Threshold Shift

Effects of Secondhand Smoke Exposure and Noise Exposure on Tinnitus Occurrence in College Students and Adolescents

2019 ◽  
Author(s):  
Laurel Elise Money ◽  
Ishara Ramkissoon
Keyword(s):  
Risk Factors ◽  
College Students ◽  
Young Adults ◽  
Secondhand Smoke ◽  
Noise Exposure ◽  
Adolescents And Young Adults ◽  
Chi Square ◽  
Main Effect ◽  
Shs Exposure

Background: Recent research indicated that young adults and adolescents reported tinnitus in highernumbers than previously. Thus, it is important to fully investigate risk factors for tinnitus in adolescentsand young adults.<br />Purpose: The current study examined the influence of two environmental risk factors, secondhandsmoke (SHS) exposure and noise exposure on tinnitus occurrence as self-reported by U.S. adolescentsand young adults.<br />Research Design: A nonexperimental, cross-sectional design was used for this survey study.<br />Study Sample: Of 265 surveys received, 43 were excluded due to ineligibility. The remaining 222 surveysconstituted the study sample. Participant respondents included 80 high school students (ages14–17) and 142 college students (ages 18–30). The sample was primarily female (n = 160).<br />Data Collection and Analysis: Three (3) yes/no survey questions regarding SHS exposure, noise exposure,and tinnitus occurrence were analyzed. Statistical analyses included logistic regression, chisquarefollow-up tests, and Pearson bivariate correlation analysis.<br />Results: Results revealed that 40 percent of young adults and adolescents surveyed reported that they experiencedtinnitus. Regression analysis revealed significant main effects for noise (p = 0.004), gender (p =0.017), and the interaction of SHS and noise (p = 0.001). There was no main effect of SHS exposurenor age on tinnitus occurrence. Follow-up chi-square analysis conducted to probe the gender effectrevealed that females (45.1 percent) were more likely to experience tinnitus than males (27.7 percent). Chi-squaretesting to examine the significant interaction effect revealed statistical significance (p = 0.001) for individualswith reported noise exposure but not for individuals without noise exposure. In the noise-exposedgroup, individuals who also reported SHS exposure had a lower occurrence of tinnitus (23.6 percent). In contrast,the noise-exposed individuals without SHS exposure had a higher prevalence of tinnitus (57.9 percent).An additional chi-square follow-up analysis to examine the main effect of noise revealed no significance(p = 0.199). However, there was a significant (p < 0.01) negative correlation (r = –0.244) of noise exposurewith age.<br />Conclusion: The current study results suggest there is a higher than expected report of tinnitus incidencein adolescents and young adults. The relationship between tinnitus occurrence and a combinedexposure to noise and secondhand smoke revealed a unique effect in adolescents and young adults.<br />

scholarly journals StudiCare mindfulness—study protocol of a randomized controlled trial evaluating an internet- and mobile-based intervention for college students with no and “on demand” guidance

Trials ◽  
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Ann-Marie Küchler ◽  
Dana Schultchen ◽  
Olga Pollatos ◽  
Morten Moshagen ◽  
David D. Ebert ◽  
...  
Keyword(s):  
Mental Health ◽  
College Students ◽  
Randomized Controlled Trial ◽  
Controlled Trial ◽  
Population Level ◽  
Control Group ◽  
Cognitive Fusion ◽  
On Demand ◽  
Randomized Controlled ◽  
Increased Risk

Abstract Background College is an exciting but also challenging time with an increased risk for mental health issues. Only a minority of the college students concerned get professional help, a problem that might be improvable by internet- and mobile-based interventions (IMIs). However, adherence of IMIs is a concern. While guidance might be a solution, it is resource-intensive, derailing potential implementation on population level. The first aim of this trial is to evaluate the efficacy of the IMI StudiCare Mindfulness (StudiCare-M) for college students with “on demand” and no guidance. The second aim is to examine potential moderators and mediators, contributing to the questions of “how” and “for whom” such interventions work. Methods In this three-armed randomized controlled trial, both an unguided and “guidance on demand” (GoD) condition of StudiCare-M are compared to a waitlist control group. StudiCare-M is based on principles of acceptance and commitment therapy and stress management and consists of 7 modules plus two booster sessions. Participants in the GoD condition may ask their e-coach for support whenever needed. A total of 387 college students with moderate to low mindfulness are recruited at 15+ cooperating universities in Germany, Austria, and Switzerland via circular emails. Assessments take place before as well as 1, 2, and 6 months after randomization. The primary outcome is mindfulness. Secondary outcomes include stress, depression, anxiety, interoception, presenteeism, wellbeing, intervention satisfaction, adherence, and potential side effects. Among examined moderators and mediators are sociodemographic variables, pre-treatment symptomatology, treatment expectancy, self-efficacy, cognitive fusion, emotion regulation, and alexithymia. All data will be analyzed according to intention-to-treat (ITT) principles. Discussion Providing effective interventions to help college students become more resilient can make a valuable contribution to the health and functionality of future society. If effective under the condition of minimal or no guidance, StudiCare-M offers a low-threshold potentially resource-efficient possibility to enhance college student mental health on a population level. Moderation- and mediation analyses will deliver further insights for optimization of target groups and intervention content. Trial registration WHO International Clinical Trials Registry Platform via the German Clinical Studies Trial Register DRKS00014774. Registered on 18 May 2018.

Self-Perceived Traumatic Stress in College: A Survey

1995 ◽  
Vol 77 (3) ◽  
pp. 985-986 ◽  
Author(s):  
Robert Oswalt ◽  
Kelly Silberg
Keyword(s):  
College Students ◽  
Traumatic Stress ◽  
High Frequency ◽  
Stress Disorder ◽  
Traumatic Events ◽  
College Health ◽  
Automobile Accidents ◽  
Health Authorities ◽  
Appropriate Treatment ◽  
High Incidence

Most studies of Posttraumatic Stress Disorder have involved war veterans and victims of natural disasters and violent crime. To evaluate the incidence at college, 179 college students' responses were examined. Analysis indicated that there was a high frequency of self-perceived traumatic stress in this sample; 42% reported traumatic events, whereas only 6% would meet strict diagnostic criteria. Automobile accidents, deaths, and harassment were events perceived as traumatic. Most students turned to themselves or friends for treatment. Apparently traumatic events are more prevalent on campus than previously thought and (with the exception of rape) are rarely covered in prevention programs. College health authorities should be aware of the high incidence of perceived trauma, inform college students of potential stressors, and provide appropriate treatment.

scholarly journals Short-Term Impact of Traffic-Related Particulate Matter and Noise Exposure on Cardiac Function

2020 ◽  
Vol 17 (4) ◽  
pp. 1220 ◽  
Author(s):  
Jean Marie Buregeya ◽  
Philippe Apparicio ◽  
Jérémy Gelb
Keyword(s):  
Heart Rate ◽  
Particulate Matter ◽  
High Frequency ◽  
Noise Exposure ◽  
Personal Exposure ◽  
High Frequency Power ◽  
Short Term ◽  
Rr Intervals ◽  
Total Noise ◽  
Frequency Power

Exposure to traffic-related air pollution and noise exposure contributes to detrimental effects on cardiac function, but the underlying short-term effects related to their simultaneous personal exposure remain uncertain. The aim is to assess the impact of total inhaled dose of particulate matter and total noise exposure on the variations of electrocardiogram (ECG) parameters between pre-cycling and post-cycling periods. Mid-June 2019, we collected four participants’ personal exposure data related to traffic-related noise and particulate matter (PM2.5 and PM10) as well as ECG parameters. Several Bayesian linear models were built to examine a potential association between air pollutants and noise exposure and ECG parameters: heart rate (HR), standard deviation of the normal-to-normal intervals (SDNN), percentage of successive RR intervals that differ by more than 50 ms (pNN50), root mean square of successive RR interval differences (rMSSD), low-frequency power (LF), high-frequency power (HF), and ratio of low- to high-frequency power (LF/HF). We analyzed in total 255 5-min segments of RR intervals. We observed that per 1 µg increase in cumulative inhaled dose of PM2.5 was associated with 0.48 (95% CI: 0.22; 15.61) increase in variation of the heart rate, while one percent of total noise dose was associated with 0.49 (95% CI: 0.17; 0.83) increase in variation of heart rate between corresponding periods. Personal noise exposure was no longer significant once the PM2.5 was introduced in the whole model, whilst coefficients of the latter that were significant previously remained unchanged. Short-term exposure to traffic-related air and noise pollution did not, however, have an impact on heart rate variability.

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