scholarly journals Occupational Asthma Induced by Chrysonilia sitophila in a Worker Exposed to Coffee Grounds

2010 ◽  
Vol 17 (10) ◽  
pp. 1645-1646 ◽  
Author(s):  
Beata Francuz ◽  
Helene Yera ◽  
Laurent Geraut ◽  
Lynda Bensefa-Colas ◽  
Zuong Hung Nghiem ◽  
...  

ABSTRACT A new case of occupational asthma caused by Chrysonilia sitophila (asexual state of Neurospora sitophila) was diagnosed by molecular identification of the mold and confirmed by skin prick test, peak expiratory flow rate measurements, and experimental immunoglobulin E analysis.

2020 ◽  
Vol 71 (1) ◽  
pp. 20-25
Author(s):  
Agripina Rașcu ◽  
Eugenia Naghi ◽  
Claudia Mariana Handra ◽  
Ioan Anton Arghir ◽  
Dana Mateș ◽  
...  

AbstractOccupational asthma, the most common occupational respiratory disease in industrialized societies, accounts for 5-10% of all cases of asthma diagnosed in the world. The number of cases is increasing given the development of the “consumer society”. We aim to discuss a case of occupational asthma that we have confirmed using internationally validated methods.


Author(s):  
K. Subramanyam ◽  
Dr. P. Subhash Babu

Obesity has become one of the major health issues in India. WHO defines obesity as “A condition with excessive fat accumulation in the body to the extent that the health and wellbeing are adversely affected”. Obesity results from a complex interaction of genetic, behavioral, environmental and socioeconomic factors causing an imbalance in energy production and expenditure. Peak expiratory flow rate is the maximum rate of airflow that can be generated during forced expiratory manoeuvre starting from total lung capacity. The simplicity of the method is its main advantage. It is measured by using a standard Wright Peak Flow Meter or mini Wright Meter. The aim of the study is to see the effect of body mass index on Peak Expiratory Flow Rate values in young adults. The place of a study was done tertiary health care centre, in India for the period of 6 months. Study was performed on 80 subjects age group 20 -30 years, categorised as normal weight BMI =18.5 -24.99 kg/m2 and overweight BMI =25-29.99 kg/m2. There were 40 normal weight BMI (Group A) and 40 over weight BMI (Group B). BMI affects PEFR. Increase in BMI decreases PEFR. Early identification of risk individuals prior to the onset of disease is imperative in our developing country. Keywords: BMI, PEFR.


2021 ◽  
Author(s):  
Odirichi Andrew ◽  
Ifeoma Egbuonu ◽  
Ngozi Ojinnaka ◽  
Thecla Ezeonu ◽  
Obumneme Ezeanosike

Author(s):  
Akshi Singhal ◽  
Lovneesh Kumar ◽  
Vinish Kumar Agarwal ◽  
Sampan Singh Bist ◽  
Nitika Agrawal

1996 ◽  
Vol 143 (8) ◽  
pp. 797-807 ◽  
Author(s):  
L. M. Neas ◽  
D. W. Dockery ◽  
H. Burge ◽  
p. Koutrakis ◽  
F. E. Speizer

1978 ◽  
Vol 22 (1) ◽  
pp. 17-23 ◽  
Author(s):  
Harry Kotses ◽  
Kathleen D. Glaus ◽  
Stanley K. Bricel ◽  
Jack E. Edwards ◽  
Paul L. Crawford

The Lancet ◽  
1983 ◽  
Vol 322 (8341) ◽  
pp. 100 ◽  
Author(s):  
Peter Forster ◽  
R.W. Parker

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