scholarly journals Cross-shift changes in FEV1 in relation to wood dust exposure: the implications of different exposure assessment methods

2004 ◽  
Vol 61 (10) ◽  
pp. 824-830 ◽  
Author(s):  
V Schlunssen
Keyword(s):  
Exposure Assessment ◽  
Assessment Methods ◽  
Dust Exposure ◽  
Wood Dust

A Study on Effects of Wood Dust Exposure on Pulmonary Functions in Carpenters And Non Carpenters of Urban Ahmedabad

2012 ◽  
Vol 3 (2) ◽  
pp. 383-385
Author(s):  
DR KETAN PATEL ◽  
◽  
DR VIJAY GOPLANI ◽  
DR PARESH PRAJAPATI ◽  
DR PIYUSH MAKWANA
Keyword(s):  
Dust Exposure ◽  
Wood Dust ◽  
Pulmonary Functions

scholarly journals Respiratory Tract Problems among Wood Furniture Manufacturing Factory Workers in the Northeast of Thailand

2017 ◽  
Vol 13 (2) ◽  
pp. 125-129 ◽  
Author(s):  
I. Soongkhang ◽  
W. Laohasiriwong
Keyword(s):  
Respiratory Symptoms ◽  
Dust Exposure ◽  
Wood Dust ◽  
P Value ◽  
Factory Workers ◽  
Cross Sectional ◽  
Furniture Manufacturing ◽  
Reduce Lung Function ◽  
Medium Level ◽  
Wood Furniture

Background Wood furniture manufacturing factory workers are at high risk of exposure to wood dust in wood working processes. Wood dust exposure could cause respiratory symptoms, such as reduce lung function, chronic bronchitis, and asthma. The Northeast region of Thailand has many wood furniture manufacturing factories. However, limited studies were carried out to explore the effect of wood dust exposure on workers.Objective This study aimed to assess the respiratory symptoms and determine factors associated with these symptoms among wood furniture manufacturing factory workers.Method This cross-sectional analytical research used a multistage random sampling to select 511 workers from three provinces in the Northeast of Thailand. The data was collected using a structured questionnaire interview. The content validity of questionnaire was tested by 3 experts and had a Cronbach’s alpha coefficient of 0.82. Data were analyzed using descriptive statistics and multiple logistic regressions.Result The result indicated that 29.94% of these workers had respiratory symptoms, including coughing(18.79%), nasal secretion (15.66%), and stuffy nose (15.07%). Factors that were significantly associated with respiratory symptoms (p–value<0.05) were (a) not always wearing mask (adjusted OR=2.26;95% CI=1.37-3.72), (b) low to medium level of knowledge on dust prevention (adjusted OR=1.83;95% CI=1.23- 2.73) and (c) contacted softwood dust (adjusted OR=1.97;95% CI= 1.06-3.64).Conclusion About 30% of wood furniture manufacturing factory workers had respiratory symptoms with related to both personal preventive behaviors and their working environments. Therefore, the raising awareness for using personal protective equipment during work will help them to prevent from various respiratory track problems.

scholarly journals Worker Characteristics and Dust Exposure to Pulmonary Function Status in Jumping Saw Division Of Wood Industry At Banyuwangi: An Association Study

2019 ◽  
Vol 11 (2) ◽  
pp. 99
Author(s):  
Desy Tri Wulansari
Keyword(s):  
Pulmonary Function ◽  
Smoking Habit ◽  
Dust Exposure ◽  
Wood Dust ◽  
Wood Industry ◽  
Chi Square ◽  
Cross Sectional ◽  
Lung Physiology ◽  
Dust Level ◽  
Worker Characteristics

Wood dust in the air will bring serious health problems if it is prolonged. Wood Dust has effect for health due to  its effect on , pulmonary function via respiratory system entrance. The aim of this study was to analyze the  association of worker characteristics and dust exposure to pulmonary function status in jumping saw division workers in wood industry Sempu, Banyuwangi. The research was observasional with cross sectional desain. Research data was obtained by giving questionnaire to respondent, measurement of dust level by using HVAS and lung physiology examination using spirometry tool. The sampel in this research was 7 workers in the part of jumping saw and 6 worker in the part of office. Data were analyzed with chi square statistical test  to analyzing the association and statistical t-test to analyzing difference  pulmonary function status between to 2 groups. The result showed that dust level in the exposure groups of jumping saw workers was 19,90 mg/m3 and non-exposure group  (office) was 0,089 mg/m3, suitable with Permenakertrans No. 13/MEN/X/2011 is 5 mg/m3. Results of lung function measurement showed that normal 15,38% and impairment 84,62%. It is concluded that no associoation between age, length of employment, smoking habit, respiratory ptotective equipment usage habit, respiratory diseases history and  dust exposure to pulmonary function status, except association between nutrion status with pulmonary function status. The company should monitor the levels of wood dust, to ensure that it does not exceed the NAB and regular lung physiological health checks.

Ermittlung der Staubemissionen an Holz-Bearbeitungsmaschinen/Determining the dust emission of woodworking machines for risk assessment

2020 ◽  
Vol 110 (01-02) ◽  
pp. 64-69
Author(s):  
Hans-Christian Möhring ◽  
Thomas Stehle ◽  
Matthias Schneider
Keyword(s):  
Collection Efficiency ◽  
Dust Emission ◽  
Gravimetric Method ◽  
Measuring Method ◽  
Dust Exposure ◽  
Wood Dust ◽  
Suction System ◽  
Process Step ◽  
Machine Manufacturer ◽  
Detailed Assessment

Im Beitrag werden zwei Verfahren zur Ermittlung der Staubemission an Werkzeugmaschinen vorgestellt. Es werden das „gravimetrische Verfahren“ und die „Ermittlung des Erfassungsgrades“ beschrieben und gegenübergestellt. Das gravimetrische Verfahren zur Ermittlung des luftgetragenen Holzstaubs ist Stand der Technik zur Beurteilung der Staubemission von Holzbearbeitungsmaschinen. Dieses aufwendige Messverfahren mit Staub-Probenentnahmegeräten erlaubt eine Aussage über den Emissionsgrad der untersuchten Maschine. Dagegen quantifiziert die Ermittlung des Erfassungsgrades einer Bearbeitungsmaschine die Effektivität des Absaugsystems bei der Erfassung von Spänen und Stäuben. Ein Vergleich von Gravimetrie und Erfassungsgrad soll eine detaillierte Aussage zu den emittierten Späne- und Staubmengen von Bearbeitungsmaschinen für die Holz- und Holzwerkstoffbearbeitung liefern. Beim Messverfahren Ermittlung des Erfassungsgrades wird davon ausgegangen, dass Späne- und Staubfraktionen ähnlich gut erfasst werden können. Die genaue Zusammensetzung der erfassten und nichterfassten Materialanteile sowie der Partikelgrößen sind derzeit noch Gegenstand der Untersuchungen. Unbenommen davon müssen im Betrieb die nichterfassten Anteile aufwendig vom Benutzer in einem nachgelagerten Prozessschritt aufgesaugt werden. Es wird ausdrücklich darauf hingewiesen, dass die Untersuchung des Emissions- oder Erfassungsgrades einer Maschine nur eine qualitative Aussage zur Staubbelastung in der Umgebung einer Maschine erlaubt. Die Einwirkung beziehungsweise Exposition von Mitarbeitern hängt von Umgebungsbedingungen wie zum Beispiel Raumgröße, Luftwechsel, Sauberkeit, Leistung der Absauganlage, Beeinflussung durch Nachbararbeitsplätze (Bystanderexposition) und nicht zuletzt vom Handling des Bedieners ab. Diese Faktoren werden im Allgemeinen nicht von der Maschine beziehungsweise dem Maschinenhersteller beeinflusst. &nbsp; This paper presents two methods for determining the dust emission of machine tools. The gravimetric method and the determination of the degree of collection efficiency are described and compared. compared. The gravimetric method for establishing airborne wood dust is state of the art for assessing the dust emission of woodworking machines. This complicated measuring method with dust sampling devices makes it possible to assess the emissivity of the examined machine. In contrast, establishing the degree of collection efficiency for a machining centre quantifies how efficient the suction system collects chips and dust. By comparing gravimetric analyses and the degree of collection efficiency, it is possible to provide a detailed assessment about the amount of chips and dust emitted by machining centres in the machining of wood and wood-based products. The measuring method for establishing the degree of collection efficiency assumes that chip and dust fractions can be collected similarly well. The exact composition of the collected and uncollected material fractions as well as the particle sizes still have to be examined yet. Irrespective of that, the uncollected particles have to be removed during operation in a subsequent, complicated process step by the user. It has to be emphasized particularly that by analysing the emissivity or the degree of collection efficiency of a machine it is only possible to qualitatively assess the dust exposure in the surroundings of the machine. The influence or exposure of workers depends on environmental conditions, such as e.g. room size, air change, cleanness, the efficiency of the suction system, the influence by adjacent machines (bystander exposure) and last but not least the handling of the operator. In general, these factors are not influenced by the machine or rather the machine manufacturer.

A meta-analysis on wood dust exposure and risk of asthma

Allergy ◽  
2010 ◽  
Vol 65 (4) ◽  
pp. 467-473 ◽  
Author(s):  
M. Pérez-Ríos ◽  
A. Ruano-Ravina ◽  
M. Etminan ◽  
B. Takkouche
Keyword(s):  
Meta Analysis ◽  
Dust Exposure ◽  
Wood Dust
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