Sensitivity to noise in a community sample: I. Measurement of psychiatric disorder and personality

SynopsisA sample of 77 women of high and low noise sensitivity in 1977, living in areas of high and low exposure to aircraft noise, were interviewed in the community in 1980. High, intermediate and low noise sensitive women were compared, using measures of blood pressure, heart rate, skin conductance, hearing threshold, uncomfortable loudness level and magnitude estimation of six tones. These physiological measures did not clearly distinguish different noise sensitivity groups, except that highly noise sensitive women had a consistently slower heart rate. Noise sensitivity was not related to auditory threshold. In the high aircraft noise area there were significantly more skin conductance responses than in the low aircraft noise area, irrespective of noise sensitivity. This may be the result of chronic exposure to high aircraft noise.

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Parental Concordance and Comorbidity for Psychiatric Disorder and Associate Risks for Current Psychiatric Symptoms and Disorders in a Community Sample of Juvenile Twins

Journal of Child Psychology and Psychiatry ◽

10.1111/1469-7610.00731 ◽

2001 ◽

Vol 42 (3) ◽

pp. 381-394 ◽

Cited By ~ 42

Author(s):

Debra L. Foley ◽

Andrew Pickles ◽

Emily Simonoff ◽

Hermine H. Maes ◽

Judy L. Silberg ◽

...

Keyword(s):

Psychiatric Disorder ◽

Psychiatric Symptoms ◽

Community Sample

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Managing a Co-occurring Psychiatric Disorder

Managing Your Substance Use Disorder ◽

10.1093/med-psych/9780190926670.003.0020 ◽

2019 ◽

pp. 159-168

Author(s):

Dennis C. Daley ◽

Antoine Douaihy

Keyword(s):

Substance Use ◽

Psychiatric Disorder ◽

Psychiatric Disorders ◽

Substance Use Disorder ◽

Psychiatric Symptoms ◽

The Other ◽

Medication Assisted Treatment ◽

Different Types

The term “co-occurring disorders” refers to the presence of a psychiatric disorder and a substance use disorder. A psychiatric disorder increases the risk of a substance use disorder and vice versa. Treating one disorder improves the outcomes in treating the other. Psychiatric medications can be both effective and appropriate in treating the psychiatric disorder in people with co-occurring disorders. Medication-assisted treatment (MAT) can treat effectively the substance use disorder in people with co-occurring disorders. The goals of this chapter are to learn about the different types of psychiatric disorders, to learn about the causes of psychiatric disorders, and to assess the client’s psychiatric symptoms, if applicable.

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Aircraft noise and mental health: II. Use of medicines and health care services

Psychological Medicine ◽

10.1017/s003329170005337x ◽

1981 ◽

Vol 11 (1) ◽

pp. 155-168 ◽

Cited By ~ 18

Author(s):

Gareth Watkins ◽

Alex Tarnopolsky ◽

Linda M. Jenkins

Keyword(s):

Mental Health ◽

Health Care Services ◽

Noise Exposure ◽

Health Indicators ◽

Community Services ◽

Low Noise ◽

Aircraft Noise ◽

High Noise ◽

Care Services ◽

Survey Sample

SYNOPSISA domiciliary survey (sample size circa 6000) was conducted in areas of different aircraft noise exposure affected by London (Heathrow) Airport. Respondents were urban dwellers aged 16+. Their use of medicines, general practitioner services, hospital facilities and community services were investigated in relation both to the level of aircraft noise and to the degree of annoyance it causes. None of the indicators showed higher uptake in the high noise areas. The relationships between health indicators, noise and annoyance were not uniform. In areas exposed to high noise the use of non-prescribed drugs was significantly higher among ‘very annoyed’ than among ‘less annoyed’ respondents. The uptake of psychotropic drugs, and the use of general practice and out-patient services, tended to increase with increasing annoyance both in high- and low-noise areas, but the differences were not in all cases statistically significant. Parallels were drawn between these results and those of earlier analyses of the same survey related to the prevalence of acute and chronic symptoms. Suggestions for the analysis and interpretation of health effects of noise are put forward.

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Effect of Motorcycling on Salivary Noise-Induced Cortisol among Young Motorcyclists

Environment-Behaviour Proceedings Journal ◽

10.21834/e-bpj.v2i6.936 ◽

2017 ◽

Vol 2 (6) ◽

pp. 269

Author(s):

Anila Ali ◽

Roslinah Mohamad Hussain ◽

Mujid Abdullah

Keyword(s):

Gender Differences ◽

Cortisol Level ◽

Salivary Cortisol ◽

Vital Role ◽

Low Noise ◽

Noise Sensitivity ◽

Cortisol Response ◽

High Noise ◽

Significant Difference ◽

Sensitive Group

Saliva cortisol response was investigated from the motorcycling exposure for approximately 50 minutes between low and high noise-sensitive (Weinstein Noise Sensitivity Scale) young riders (19-25 years). The results showed significant difference (p < 0.05) in salivary cortisol concentrations in High-Noise Sensitive group (n = 27). Significant gender differences were found (p < 0.05) among the Low-Noise sensitive group (n = 30), after ride. Cross-analysis between groups was significant (p < 0.05) for before ride cortisol levels of Low-Noise sensitive group. This study suggests that subjective noise sensitivity plays a vital role in increased cortisol level among noise sensitive riders.

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Noise-Induced Cortisol Assessment among Young Motorcyclist: A field study

Asian Journal of Quality of Life ◽

10.21834/ajqol.v3i13.168 ◽

2018 ◽

Vol 3 (13) ◽

pp. 117-127

Author(s):

Anila Ali ◽

Roslinah Mohamad Hussain ◽

Nazri Che Dom ◽

Mujid Abdullah

Keyword(s):

Salivary Cortisol ◽

Publishing House ◽

Vital Role ◽

Low Noise ◽

Noise Sensitivity ◽

High Noise ◽

Significant Difference ◽

International Publishing ◽

Open Access Article ◽

Sensitive Group

Saliva cortisol response was investigated from the motorcycling exposure for approximately 50 minutes between low and high noise-sensitive (Weinstein Noise Sensitivity Scale) young riders (19-25 years). The results showed significant difference (p < 0.05) in salivary cortisol concentrations in High-Noise Sensitive group (n=27). Significant gender differences were found (p < 0.05) among the Low-Noise sensitive group (n=30), after ride. Cross-analysis between groups was significant (p < 0.05) for before ride cortisol levels of Low-Noise sensitive group. This study suggests that subjective noise sensitivity plays a vital role in increased cortisol level among noise sensitive riders.Keywords: Noise; Salivary cortisol; Noise sensitivity; Motorcycle.eISSN 2398-4279 © 2018. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ajqol.v3i13.168

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Otago Women's Health Survey 30-Month Follow-Up

The British Journal of Psychiatry ◽

10.1192/bjp.163.6.733 ◽

1993 ◽

Vol 163 (6) ◽

pp. 733-738 ◽

Cited By ~ 19

Author(s):

S. E. Romans ◽

V. A. Walton ◽

B. McNoe ◽

G. P. Herbison ◽

P. E. Mullen

Keyword(s):

Social Networks ◽

New Zealand ◽

Psychiatric Disorder ◽

Social Role ◽

Psychiatric Symptoms ◽

Community Sample ◽

Psychiatric Morbidity ◽

Large Family ◽

Cross Sectional

Women who showed new psychiatric morbidity after a 30-month follow-up of a random community sample of New Zealand women were compared with those who were free of psychiatric disorder at follow-up. There were 25 new cases among the 215 women who were originally not psychiatric cases and who were re-interviewed. Using the weighted back population data to obtain prevalence figures for the general population, 6.9% became new cases over the two and a half years. Those who developed psychiatric disorder initially showed more psychiatric symptoms at a subdiagnostic level. Baseline factors that preceded the onset of psychiatric disorder were being separated or divorced, coming from a large family, having poor social networks, living alone, having few social role responsibilities such as paid employment or motherhood, and having poor physical health. An additional cross-sectional association at follow-up was poor financial security. Good social networks were closely linked with the number of a woman's social roles and appeared to protect her against the onset of psychiatric disorder. Consistent with the initial cross-sectional study, the follow-up data provide no support for marriage and child-care being risk factors for female psychiatric disorder. However, in New Zealand, these factors indicate social integration and are associated with superior mental health.

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SCOUR: a stepwise machine learning framework for predicting metabolite-dependent regulatory interactions

BMC Bioinformatics ◽

10.1186/s12859-021-04281-7 ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

Justin Y. Lee ◽

Britney Nguyen ◽

Carlos Orosco ◽

Mark P. Styczynski

Keyword(s):

Machine Learning ◽

Metabolic Networks ◽

Sampling Frequency ◽

Low Noise ◽

Training Data ◽

High Noise ◽

Regulatory Interactions ◽

Learning Framework ◽

Metabolic Systems ◽

Noise Data

Abstract Background The topology of metabolic networks is both well-studied and remarkably well-conserved across many species. The regulation of these networks, however, is much more poorly characterized, though it is known to be divergent across organisms—two characteristics that make it difficult to model metabolic networks accurately. While many computational methods have been built to unravel transcriptional regulation, there have been few approaches developed for systems-scale analysis and study of metabolic regulation. Here, we present a stepwise machine learning framework that applies established algorithms to identify regulatory interactions in metabolic systems based on metabolic data: stepwise classification of unknown regulation, or SCOUR. Results We evaluated our framework on both noiseless and noisy data, using several models of varying sizes and topologies to show that our approach is generalizable. We found that, when testing on data under the most realistic conditions (low sampling frequency and high noise), SCOUR could identify reaction fluxes controlled only by the concentration of a single metabolite (its primary substrate) with high accuracy. The positive predictive value (PPV) for identifying reactions controlled by the concentration of two metabolites ranged from 32 to 88% for noiseless data, 9.2 to 49% for either low sampling frequency/low noise or high sampling frequency/high noise data, and 6.6–27% for low sampling frequency/high noise data, with results typically sufficiently high for lab validation to be a practical endeavor. While the PPVs for reactions controlled by three metabolites were lower, they were still in most cases significantly better than random classification. Conclusions SCOUR uses a novel approach to synthetically generate the training data needed to identify regulators of reaction fluxes in a given metabolic system, enabling metabolomics and fluxomics data to be leveraged for regulatory structure inference. By identifying and triaging the most likely candidate regulatory interactions, SCOUR can drastically reduce the amount of time needed to identify and experimentally validate metabolic regulatory interactions. As high-throughput experimental methods for testing these interactions are further developed, SCOUR will provide critical impact in the development of predictive metabolic models in new organisms and pathways.

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Intuitionistic Fuzzy C-Means Algorithm Based on Membership Information Transfer-Ring and Similarity Measurement

Sensors ◽

10.3390/s21030696 ◽

2021 ◽

Vol 21 (3) ◽

pp. 696

Author(s):

Haipeng Chen ◽

Zeyu Xie ◽

Yongping Huang ◽

Di Gai

Keyword(s):

Brain Tumor ◽

Information Transfer ◽

Magnetic Resonance Images ◽

Low Noise ◽

Similarity Measurement ◽

Noise Sensitivity ◽

Fuzzy C Means ◽

Intuitionistic Fuzzy ◽

Membership Information ◽

Fuzzy C Means Algorithm

The fuzzy C-means clustering (FCM) algorithm is used widely in medical image segmentation and suitable for segmenting brain tumors. Therefore, an intuitionistic fuzzy C-means algorithm based on membership information transferring and similarity measurements (IFCM-MS) is proposed to segment brain tumor magnetic resonance images (MRI) in this paper. The original FCM lacks spatial information, which leads to a high noise sensitivity. To address this issue, the membership information transfer model is adopted to the IFCM-MS. Specifically, neighborhood information and the similarity of adjacent iterations are incorporated into the clustering process. Besides, FCM uses simple distance measurements to calculate the membership degree, which causes an unsatisfactory result. So, a similarity measurement method is designed in the IFCM-MS to improve the membership calculation, in which gray information and distance information are fused adaptively. In addition, the complex structure of the brain results in MRIs with uncertainty boundary tissues. To overcome this problem, an intuitive fuzzy attribute is embedded into the IFCM-MS. Experiments performed on real brain tumor images demonstrate that our IFCM-MS has low noise sensitivity and high segmentation accuracy.

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Amygdala activation in maltreated children during pre-attentive emotional processing

The British Journal of Psychiatry ◽

10.1192/bjp.bp.112.116624 ◽

2013 ◽

Vol 202 (4) ◽

pp. 269-276 ◽

Cited By ~ 112

Author(s):

Eamon J. McCrory ◽

Stéphane A. De Brito ◽

Philip A. Kelly ◽

Geoffrey Bird ◽

Catherine L. Sebastian ◽

...

Keyword(s):

Psychiatric Disorder ◽

Emotional Processing ◽

Community Sample ◽

Age At Onset ◽

Childhood Adversity ◽

Neural Response ◽

Maltreated Children ◽

Amygdala Activation ◽

Increased Risk ◽

The Right

BackgroundChildhood adversity is associated with significantly increased risk of psychiatric disorder. To date, functional magnetic resonance imaging (fMRI) studies of children have mainly focused on institutionalisation and investigated conscious processing of affect.AimsTo investigate neural response to pre-attentively presented affect cues in a community sample of children with documented experiences of maltreatment in the home.MethodA masked dot-probe paradigm involving pre-attentive presentation of angry, happy and neutral facial expressions was employed. Eighteen maltreated children were compared with 23 carefully matched non-maltreated peers.ResultsIncreased neural response was observed in the right amygdala for pre-attentively presented angry and happy faces in maltreated v. non-maltreated children. Level of amygdala activation was negatively associated with age at onset for several abuse subtypes.ConclusionsMaltreatment is associated with heightened neural response to positive and negative facial affect, even to stimuli outside awareness. This may represent a latent neural risk factor for future psychiatric disorder.

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