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East African Journal of Public Health
East African Public Health Association
ISSN: 0856-8960
Vol. 2, Num. 1, 2005, pp. 32-38
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East African Journal of Public Heath, Vol. 2, No. 1, April, 2005, pp. 32-38
Qualitative Method for Assessing Dust Exposure in Small-Scale Wood Industries in the Informal Sector
LMB
Rongo1 and B Leon2
1 Dept. of Community Health , 2 Kibosho
Hospital Moshi
Correspondence to: Rongo LMB1 , Box 65001, Muhimbili
University Collge of Health Science Dar es Salaam – Tanzania.
Code Number: lp05008
Abstract
Health hazards related to wood dust in modern
industries have been well documented in developed countries in Western Europe
and USA. Exposures are documented using sophisticated equipment. Few studies
have been done assessing exposure to wood dust industries qualitatively. This
study assessed the extent of occupational exposure, self- protection and
perceived respiratory problems among workers exposed to wood dust.
Structured questionnaire was administered to 214
workers in 108 small-scale industries in Dar es Salaam. Exposure to wood dust
was qualitatively assessed based on each worker’s daily tasks.
Heavy exposure to wood dust was noted in 71.5% of the
workers. Only a few workers (6.5%) used rather poorly designed cloth masks
while the rest were basically unprotected. Nearly 52% of all workers had a
respiratory symptom. Prevalence of respiratory symptoms were found to be
statistically associated with the degree of exposure to wood dust (p<
0.01).Workers in small-scale industries have a high likelihood of increased
respiratory symptoms.
Key words: Qualitative methods, wood dust exposure, small-scale wood industries, respiratory symptoms, Tanzania
Introduction
Workers employed in small-scale wood industries (SSWI) are exposed
to numerous problems. Among those frequently mentioned are wood dust, high
noise levels and high temperatures. Symptoms of respiratory diseases are also
experienced by such workers, notably chest pain and cough (1-5).
Tanzania has experienced a rapid growth in her informal sector,
particularly so in the city of Dar es Salaam. Wood working activities appear to
be chosen by many in a bid to curb unemployment. It is reported that 30% of the
economically active labour force in Dar es Salaam is absorbed by the informal
sector which grows by about 2.4% per annum. The number of operators in the
informal sector also increased by 12% between the years 1991 and 1995. In a
survey conducted in 1995, wood working activities absorbed about 6% of the
total economically active labour engaged in the informal industrial sector (6).
Dar es Salaam informal sector workforce is young with the mean age
of 29 years for males and 31 years for females. The majority (66%) have
completed only primary education (7). Being young, these workers may be saved
from a potential risk of exposure to hazardous substances if their exposure
status is established early and appropriate measures instituted. With regard to
vocational training, 92.6% of workers in the informal sector have no formal
training. The survey conducted in 1995 revealed that 3.7% were semi-skilled,
2.6% were skilled craftsmen and 0.7 % were master craftsmen.
Holders of full technician certificate were close to 0.1% while
those with diplomas or degrees were about 0.6% (8). With such little training, it may be expected that safety
measures may not be given a priority in their daily operations.
In addition to the lack of formal training and qualifications, the
low income these workers earn leave them with the dilemma of bargaining between
their health and earnings. The average monthly net profit in a wood working
industry was Tshs 39,000/= (US$ 39) per month per average activity in 1995 (8).
Although wood working here was the most profitable industry in the inform
sector, the income is still low.
Improvement of health and safety conditions in small-scale wood
industries is an issue that demands particular attention. The amount of money
required for this purpose varied from Tshs 10,000 to 50,000 per month in 74% of
the activities in 1995. The rest required more Tshs 50,000 (8). This amount is
too high compared to the monthly earnings, and thus the dominance of very poor
working conditions is far from unexpected.
Occupational health and safety conditions in the informal sector are
characterized by poor working conditions and environmental hazards which are
determined by industrial type, location of the industry and the educational
status of the operators. As far as wood industries are concerned, poor waste
disposal and a limited working space are added to the list (8).
Most small scale wood industries are located in streets, along the
main roads, and some are on unsafe temporary structures (9). The rate of use of
protective gears in work places is alarmingly low, averaging 5% for industrial
sectors. Few industrial owners know about the existence of health hazards at
their places of work. Only 5% of the workers in the informal industrial sector
were aware of health hazards around them in the national survey conducted in
1991 (10).
Workers in wood industries are often exposed to wood dust in various
degrees. The extent of exposure which is also known to be related to the extent
of respiratory tract damage depends on a number of factors including type of
tasks performed by the worker, duration over which the worker is exposed, type
of machinery used, presence of gadgets to evacuate the dust from the working
area, and use of personal protective equipment among workers (4). In most
small-scale industries as the case with Dar es Salaam, most of the woodwork is
done manually, and so exposure to wood dust is quite enormous (4).
Important as well is that nothing is known of the standard maximum
allowable levels of wood dust exposure among workers in Tanzanian industries
(5). There has never been a concise legislation directed purposely towards the
small-scale wood industries stating the standard allowable level of dust in
terms of both particle size and concentration in milligramme per cubic meter.
It is also presumed therefore that even the Central Labour Inspectorate Unit in
the Ministry of Labour and Youth Development does not have means to quantify
inhalable dust in small-scale wood industries. This study assessed exposure to
wood dust, the extent of application of personal protective equipment and
resultant perceived respiratory problems using qualitative methods.
Methodology
Study design
A cross sectional study was conducted in
small scale wood industries in Dar-es-Salaam.
Study Area
The study involved workers from three districts in the Dar es Salaam
city, namely Ilala, Kinondoni and Temeke.
Dar es Salaam has a tropical climate with high temperature and two
rainy seasons. The study area is an area of high commercial activity. A few
people are employed with Government Departments, Parastatals and private
companies, but very often they have to supplement their income with some kind
of business or enterprise. Dar es Salaam is Tanzania’s commercial city with an
estimated population of 2.5 million people based on the 2002 population census
(11).
The Gerezani area is located in Kariakoo, less than a kilometer from
the city center. It is one of the busiest places in the city, specializing in
many types of small businesses which employ a huge number of hawkers, petty
traders, manual labourers, and entrepreneurs of small scale industrial
establishments, to mention but a few. The small scale industries in Gerezani
are truly of a “small scale” in the literal meaning of the phrase. They are
housed in simple or semi-finished buildings, with only a small working space.
Manual labour dominates most of the processes in these industries. The majority
are simple artisanal establishments with the entrepreneurs playing role as the
sole operators of the same, and more often than not becoming jacks of all
trade. The work load depends on the number of contracts received. Most of the
owners of these industries are too poor to afford mass production of their
furniture for commercial purposes. They only work according to customers’
orders. Prices of their pieces of furniture are in most cases negotiable.
The operators of the small scale industries work under the auspices
of the Dar es salaam Small Scale Industries Cooperative Union (DASICO) which caters
for their social security and marketing of their goods. Each operator does his
own work, negotiates his own prices but pays a small agreed percentage of his
earnings to DASICO which ensures him a working space, security of his working
tools, and financial assistance during emergencies. DASICO has been in place
since early 1980s, and currently it has members engaged in wood work, steel and
metal products, and shoe making among others.
There is also a dispensary staffed by a clinical officer and a
nursing assistant. The dispensary is basically intended to offer first aid
services in case of emergencies and also attend to the workers’ minor health
problems. It is stocked mainly with pain killers and wound dressing materials.
However the dispensary is still just too small to attend to more than a
thousand workers, for it has only 3 rooms, a consultation room, dispensing
room, and a small laboratory equipped with only one microscope. The only
laboratory investigation performed is blood slide examination for malaria
parasites.
The small dispensary is in severe shortage of drugs and equipment.
Services in the dispensary are sustained by the contribution that workers pay
to DASICO. At the time of this study, plans were under way to improve the
dispensary so that it could offer services to other workers outside the DASICO
establishment and the general population at a fee.
Cleanliness of the working area is every worker’s duty. The wastes
are collected and piled up on an agreed dumping place within the Gerezani complex.
It is then collected by a truck from the Dar es Salaam city commission which
disposes it at a City Dump.
Target population
The target population was all employees and
managers or employers of the selected industries.
Selection of the study area
Three areas
known for their large number of small scale industries in Dar es Salaam were
identified, namely Gerezani, Keko and Mwenge. The Gerezani area was randomly
selected.
Sample selection and sample size
Criterion for selection was all workers in a small scale wood
industry who had engaged themselves in wood working activities for at least one
month, not necessarily in the same industry. Each industry in the study area
was visited prior to the commencement of the study, notifying the management
about the nature and purpose of the study. A list of all these industries was
constructed in the order of their locations, thus making a sampling frame. Then
108 industries were systematically sampled from this list. A list of all
workers in each industry was constructed. Two workers were then randomly picked
from each industry’s list. At the end of this exercise, 214 workers were
selected. Five workers refused to be interviewed and therefore response rate
was 98%.
Research instruments
Two types of structured questionnaire forms were used in collecting
the data; one for each employer, and one questionnaire for each employee. Four
research assistants assisted in interviewing the employers and the workers.
Definition of exposure status
The extent of exposure to wood dust was qualitatively assessed based
on the workers’ daily tasks. Those working on the direct source of wood dust
were considered heavily exposed, and these tasks included sanding, carving and
sweeping. Those doing sawing, milling and planning were considered moderately
exposed, while those doing manual transfer of wood from a workbench to another,
assembling, glueing, and other minor tasks were considered mildly exposed.
Workers doing entirely paper work or office work, not coming into direct contact
with the wood or its dusts were considered not exposed (4).
Data collection procedure
Each industry was visited during the official working hours. Nature
and purpose of the study was explained to the industry
management/administration. The manager or any one acting in that capacity was
requested to allow his workers to participate in the study. The manager was
also requested to take part in an interview to fill the industry questionnaire.
Every selected employee was interviewed, and the information was filled on a
separate questionnaire.
Demographic
information (age, sex, residence, literacy level) obtained from respondents was
considered sufficient and no verification was required.
In order to
identify the types of industries, the small scale wood industries were
classified according to the tasks that dominated in the running of the industry
according to its registration. Industries venturing into making various types
of home and office furniture were classified as furniture industries. Sawmills
were those industries that produced wood of various sizes from timber, ready
for supplying to furniture industries. Those industries which produced doors,
windows, shelves, rafters and other construction items were classified as
construction carpentry. When an industry fell into more than one of the above
categories, it was classified into all the categories in which it fell.
Types of wood used in each industry were recorded in their common
names in Kiswahili language. Classification into hard wood and soft wood was performed
later after consulting the Ministry of Agriculture and Forestry. The correct
botanical names were obtained from publication by Mbuya et al 1994 (12).
Assessment of workers’ awareness regarding the risks associated with exposure
to wood dust and personal protection was based on the workers’ questionnaire.
Workers were asked whether they knew of any health problems that could result
from exposure to wood dust. All those who responded in the affirmative were
further asked to mention the consequences which they knew were due to
inhalation of wood dust. Workers were also asked to mention means by which
effects associated with exposure to wood dust could be minimized.
Regarding personal protection, workers were asked as to whether they
protected themselves from inhalation of wood dust, and how they did it. Those
who responded that they did not use any protection were asked to give reasons.
A scoring system for awareness was adopted as follows:
Table 1a: Score table
Assessment
question |
Possible
answers |
Score |
1. Do you know of
any problems caused by exposure to wood dust? |
Yes |
1 |
No |
0 |
2. Mention the
problems that result from inhalation of wood dust (at least two, so
maximum 2 points for this question) |
Sneezing
(allergies) |
1 |
Nasal obstruction |
1 |
Cancers |
1 |
3. How can the
effects in (2) above be minimized? |
Protection
against inhalation of wood dust |
1 |
Frequent medical
examination and appropriate advice |
1 |
4. How to protect
oneself against inhalation of wood dust |
Wearing face
masks |
1 |
Any other response apart from the above listed was given a score of
zero for questions 2 to 4 in table 1a. The first two questions (table 1a) were
used to assess awareness of risk of exposure. A worker had to score a point
each on both questions to be considered aware of the risks. All those who
scored a total of at least two points in questions 3 and 4 were considered
aware of personal protection.
Data Management
Data were analyzed using Epi Info 6. Prevalence of respiratory
symptoms among heavily exposed, moderately exposed and mildly exposed was
compared. Chi-squared (χ2 ) test was employed to test the associations between variables.
Associations were considered significant if p-value was less than 0.05.
Ethical issues
Introductory letters were sent to the managers in advance and verbal
consent was obtained. For the avoidance of unpleasant consequences on the part
of the workers, each worker’s response was treated as strictly confidential
information. Workers and their employers were assured of confidentiality.
Perceived constraints
This study may
have been limited by the following factors:
1.
Bias
(a)
Information bias:
Some proprietors may have attempted to give false information in
order to please the researcher. The workers also may have attempted to lie in
favour of their bosses. To minimize this bias, the information given was
thoroughly counterchecked for consistency.
(b)
Recall bias:
Some workers may not have remembered the exact duration over which
they have worked in wood industries, or have worked in other areas with more
dust. The researcher relied on self-reported estimates of duration of exposure.
2. The extent of exposure to wood dust among
workers (in milligrams of dust per cubic metre) was not quantified.
3. Respiratory symptoms reported by workers in this study
could not necessarily be linked to a systemic respiratory pathology resulting
from exposure to wood dust, since the latter should have been assessed by
performing lung function tests and establishing a causal relationship linking
wood dust to the disease. However, this was outside the scope of this study.
Results
Distribution of study sample
Table 1b: Age and sex distribution of workers in
small- scale
industries in Dar es Salaam.
Age Group |
Male
Number (%) |
Female
Number (%) |
Total
Number (%) |
15-25 |
32(15.2) |
2(66.7) |
34(15.9) |
25-36 |
53(25.1) |
1(33.3) |
54(25.2) |
36-45 |
21(9.9) |
0(0) |
21(9.8) |
46-55 |
42(19.6) |
0(0) |
42(19.6) |
Above 55 |
63(29.4) |
0(0) |
63(29.4) |
Total |
211(98.6) |
3(1.4) |
214(100) |
Majority (98.6%)
of the workers were males aged between 20 and 78 years. Only about 29.4% of the
workers were above 55 years of age.
Type of
industries and wood processed
Of the 108 small-scale wood industries visited, 94% were making
furniture, 4% were sawmills and 2 % were doing construction carpentry. Most of
the industries (83%) were processing hardwood. Few industries were processing
both soft and hard wood.
Awareness
of risks
Most of the workers (88.3%) were aware of the risks and could
mention at least one respiratory problem which they thought resulted from exposure
to wood dust.
Awareness
of PPE and daily tasks in SSI
The majority of the workers (68.7%) were aware of protective gears
against inhalation of wood dust. Daily tasks in small-scale wood industries
were sanding (51%), sweeping (57%), sawing (97%), planing (94%), milling
(5.6%), manual loading and offloading wood (48%) and assembling (joinery)
(97%). Most of the workers performed several of the tasks listed above.
However, many of the same workers also performed sanding and sweeping.
Time spent on wood working per day
The normal time spent at work depends on the regulations of the
country. In most cases 7-8 hours are taken as a standard. Out of 214 workers,
5% spent 6 hours at work, 12% spent 7 hours, 42% spent 8 hours, 35% spent 9
hours and 7% more than 9 hours. The total time spent on wood working per day
range from 6 to 11 hours, with an 8 hour shift common among 41.6% of the
workers.
Exposure
levels
The maajority (71.5%) of the workers were heavily exposed to wood
dust. This category included all workers whose daily tasks included sanding and
sweeping. Those workers whose tasks excluded sanding and sweeping constituted
15.95% of the study sample and were regarded moderately exposed to wood dust.
Workers whose daily duties were confined solely to assembling (joining) and/or
manual loading or offloading formed the minority (12.6%). This group was
considered mildly exposed to wood dust.
Table 2. Duration and extent of exposure
to wood dust among
employees in the studied industries.
Duration in years |
Degree of exposure |
Total |
Mild
No (%) |
Moderate
No (%) |
Heavy
No (%) |
<5 |
6(8.7) |
2(2.9) |
61(88.4) |
69 |
5-9 |
8(16.3) |
3 (6.1) |
38(77.6) |
49 |
10-14 |
9(24.3) |
6(16.2) |
22 (59.5) |
37 |
15 and more |
4 (6.8) |
23 (39.0) |
32 (54.2) |
59 |
Total |
27 (12.6) |
34 (15.9) |
153 (71.5) |
214 (100) |
Exposure
to wood dust
In table 2, fifty nine workers (27.6%) had worked in small-scale
industries for 15 years or more. Among these 32 (54.2%) were heavily exposed to
wood dust. Majority of the workers who were heavily exposed to wood dust had
practiced woodworking for less than five years. In each category of duration,
majority of the workers were heavily exposed to wood dust.
Use of personal protective equipment
(PPE)
Distribution of 108 small-scale wood industries according to the
types of protective facilities available for use against inhalation of wood
dust by workers was as follows: special masks (commercially made) 4.7%; locally
made cloth masks 25%; others 11.1% and none 59.3%. When the workers were
assessed on utilization of PPE, a different picture was observed. Out of 214
workers, no one was using special masks while 6.5% used locally made cloth
masks, handkerchief 14.4%, others 5.6% and none 73.4%. None of the workers used
the special masks designed to protect them against inhalation of wood dust
although they were available in some industries.
Respiratory
symptoms
Out of 214 workers, 9.8% of the workers had nasal obstruction, 19.6%
nasal discharge, 9.8% sneezing, 20.1 % persistent cough, 29.9% breathlessness
and 14% other symptoms. In total, 112 workers (52.3%) had at least one
respiratory symptom. Breathlessness was the predominant symptom found in 29.9%
of the workers. Several workers had more than one symptom concurrently.
Table 3. The association between the
degree of wood dust and presence
of respiratory symptoms
Degree of
exposure |
Respiratory symptoms |
Total |
Present
No (%) |
Absent
No (%) |
Heavy |
91(59.5) |
62 (40.5) |
153 |
Moderate or mild |
21 (34.4) |
40 (65.6 |
61 |
Total |
112 (52.3) |
102 (47.7) |
214 (100) |
Table 3 shows a
significant difference between exposure and presence of respiratory symptoms (χ2 = 10.9, P < 0.01).
Table 4. The association between
cigarette smoking and presence of respiratory symptoms among workers in SSI in
Dar es Salaam.
Cigarette smoking (packs/day) |
Respiratory symptoms |
Total |
Present
No (%) |
Absent
No (%) |
None |
66 (51.2) |
63(48.8) |
129 |
<1 |
26 (50.1) |
25(49.9) |
51 |
1-2 |
16 (57.1) |
12 (42.9) |
28 |
>2 |
4 (66.7) |
2 (33.3) |
6 |
Total |
112 (52.3) |
102 (47.7) |
214 (100) |
From Table 4, the general trend was that the prevalence of
respiratory symptoms increased with increasing numbers of cigarettes workers
smoked per day. The observed increase is not statistically significant. The
same table shows that respiratory symptoms do not differ among smokers and
non-smokers.
Discussion
Small-scale wood industries in Das es Salaam employed people of
different age groups ranging from 20 to 78 years. Most of them (nearly 99%)
were males with the age group 26-35 years dominating (25%). About 71% of the
wood workers were aged below 55 years of age. The pertinent issues here are the
male dominance in wood working processes and a relatively young workforce.
While it is culturally accepted that male adults are expected to head their
households and play their role as family bread winners, women have also
involved themselves in a lot of other economic activities except wood working.
Whether this has anything to do with the lots of energy one needs for the work
and the many working hours per day, or whether it is a mere lack of interest, it
remains a matter of speculation. However, to the women’s advantage, they remain
relatively free from occupational exposure to wood dust.
Young people are the ones who can withstand the hardships involved
in the whole process and wood working activities. Most of the informal sectors
and their operators are characterized by sole enterpreneurship, manual work and
very often tremendous endurance. This needs young, strong and active people. In
a survey of the city’s informal sector, the mean age of the work force was 29
years for males and 31 years for females (7).
The majority of the small scale wood industries venture into
furniture making as the main activity. While about 94% of the wood industries
produced furniture, nearly 4% were saw mills and another 11% engaged in
construction carpentry. Most of the activities were based on customers’
orders. This implies that in 94% of all wood working activities in Dar es
Salaam, such workers are directly exposed to wood dust resulting from the gross
and fine processes involved in furniture making. Higher exposures to wood dust
have been recorded among furniture workers (13). Furniture industries mainly
utilized hard wood whose dust has been documented as one of the agents
implicated in the development of sino-nasal cancers (13)
Most of the studied industries used both softwood and hard wood in
their daily activities. Use of hardwood dominated in most of the industries
(83%). Softwood was used in nearly 7% of all industries. When the IARC
classified wood dust as a human carcinogen, it did not categorize which
carcinogens come from softwood nor hardwood (13). However, the same agency
conducted case control studies in Finland and managed to establish an
association between exposure to hardwood dust and sinonasal adenocarcinoma
(13).
The seriousness of the occupational hazards that woodworkers are
exposed to in relation to the type of wood used in their respective industries
stands not to be under estimated.
Responses from 88% of the workers in this study suggested that workers
were aware that inhalation of wood dust could be hazardous. Each of these
workers could mention at least one respiratory problem which they thought
resulted from inhalation of wood dust. Only about 12% of the workers knew
nothing in regard to the hazard they were exposed to. However, a good majority
of the workers were misled in believing that tuberculosis was a sequela of
prolonged inhalation of wood dust. This is probably due to the fact that some
workers had chronic respiratory symptoms including chronic cough, which they
decided to label “tuberculosis” in their lay perception of illness. Rongo et
al reported the same findings (3).
Interestingly, all those workers who knew nothing about health
effects of wood dust were still of the opinion that wood dust could be harmful
to the body. These workers’ worries must, under no circumstances be renounced
as baseless. They inhale wood dust daily and they know pretty well that it is
something foreign in their bodies. They don’t know what it does to their bodies,
but they are not convinced that it could be completely harmless. This could be
a health promoting fear, only if it was followed by appropriate practices. More
than two thirds of the workers (69%) were aware of the protective facilities
they were supposed to use against inhalation of wood dust. Among the 214
workers interviewed, 31% failed to mention plausible means by which inhalation
of wood dust could be minimized.
The author’s attention was also drawn to the fact that nearly all
workers believed that a post-exposure dietary prophylaxis could be of help in
minimizing the effects of exposure to wood dust. Many of them were of the
opinion that drinking fresh milk or soup after every wood working shift would
protect them from developing respiratory diseases. This misconception may have
resulted from two factors One is the fact that majority of the operators in the
small scale industrial sector have received very little or very low levels of
formal education, since nearly 66% have completed only primary education or
below (7). In addition, the health education programmes conducted through the
mass media (radio, television, newspapers) often leave occupational health
untouched, concentrating mainly on communicable diseases and deficiency
disorders. Secondly, workers may have resorted to post exposure prophylaxis as
a desperate attempt to save their lives following lack of any other alternative
to do so. In a paper analyzing the response of Tanzania’s occupational health
care delivery system to workers’ health it, was argued that small scale
employers did not know what to do nor whom to contact in case specialist health
advice and services were needed (2).
The assessment of the degree of exposure to wood dust on the basis
of workers’ daily tasks revealed that 71.5% of the workers were heavily
exposed. Most of the workers performed several tasks all of which exposed them
heavily to wood dust. For example, carpentry was regarded by workers as an
occupation that included a set of duties such as sanding, sawing, joining,
planning and sweeping the work place all of which were often performed by the
same person. More than half of the workers were exposed to wood dust for at
least eight hours per day. A previous research report has linked the extent of
wood dust exposure to the type of wood working process performed (4, 14). The
report by Scheeper et al and Rongo et al identified sanding and
carving as activities generating highest exposures to wood dust respectively.
In another study, sweeping and cleaning were cited as activities that could
raise the concentration of wood dust tremendously (5). With these facts in
mind, the presence of nearly 72% of wood workers exposed heavily to wood dust
is a matter of public health concern. While it is known that a concentration of
soft wood dust exceeding 2mg/m3 increases the risk for both
malignant and non-malignant respiratory maladies among wood workers (4, 15),
Tanzanian wood workers are inhaling very large amount of wood dust daily (4).
Wood workshops in the Netherlands are frequently inspected to ensure that
maximum concentration of wood dust does not exceed 5 mg/m3 total
dust (15). Rongo et al (2002) reported wood dust exposure in Tanzanian
small-scale wood workshops ranging from 1-52 mg/m3 (4). In this study about 54%
of the longest serving wood workers were heavily exposed to wood dust for more
than 15 years.
Lack of personal protective equipment (PPE) in the visited
workplaces was very discouraging. Only about 5% of the industries had special
masks. The rest of the industries had either make-shift facilities or none at
all. Lack of PPE was also noted in a survey conducted in the Manzese
Woodworking Enterprise and in Dar es Salaam, by Kamuzora (1998) and Rongo et al
(2002) respectively (2, 4). The Kamuzora’s study quoted the workers as blaming
the government for having not ensured the availability of PPE on the Tanzania
market. After globalization of trade, different types of PPE are plenty on the
market.
One quarter of the surveyed industries in this study provided
locally made cloth masks that cover the mouth and nose, to protect against
inhalation of wood dust. In previous study, the author referred to such masks
as “inferior masks” (2). This study also managed to unveil a discrepancy
between having PPE and using it. About 74 % of the workers did not use any PPE
at all, even when they were performing the most dusty operations like sanding,
sweeping and carving. No body used the special masks available in a few
industries. The “inferior” cloth masks were used by a mere 6.5% while a whole
14.5% relied on a handkerchief held above the nose and tied loosely behind the
neck. Those workers whose employers did not provide them with protective
facilities, or those self-employed who did not have such facilities stated that
lack of facilities was the reason for working unprotected. However, the few who
had such facilities claimed that the masks reduced their efficiency in that
they did not allow the workers to breath smoothly. Hence many workers preferred
to work unmasked so that they could breath freely, and feel comfortable as they
work. They said the masks affected their breathing more than did the wood dust.
The whole issue here is lack of the appropriate protective facilities as
pointed out earlier.
The proportion of workers with at least one respiratory symptom was
52.3%. Several workers reported to be experiencing more than one symptom at the
time of the interview. Breathlessness was the predominant symptom, followed by
persistent cough (20%), nasal discharge (19.6%), other complaints (14%), nasal
obstruction (9.8%), and sneezing (9.8%). The other complaints (14%) were chest
pain, allergies to some specific types of wood and excessive formation of
phlegm in the morning. Most of these symptoms have been cited before as
manifestations of acute or chronic respiratory ailments emanating from exposure
to wood dust. The respiratory symptoms mentioned are generally regarded as an
indicator of a pathological condition in the respiratory system. In a study
done to determine the normal peak expiratory flow rates in healthy adult male
and female subjects, only those subjects who did not have the respiratory
symptoms contained in a questionnaire were considered healthy (16). Respiratory
symptoms were also used to assess respiratory diseases among Nigerians working
in a sugar industry (17). However, Tanimowo compared his findings to a control
group derived from the general population and found that the occurrence of
cough alone, cough with sputum, morning phlegm, nasal catarrh and chest pain
were statistically significant only in the control group contrary to his
expectation. Working in a dusty environment was normally expected to predispose
to respiratory symptoms. In an attempt to explain this unexpected finding, the
author gave his opinion that possibly the subjects who were studied as controls
could have wanted to attract the attention of the investigator by responding
positively to those symptoms thinking that some medical or financial benefits
may accrue to them by such behaviour (17).
Workers in the present study were then categorized into two groups
according to their degree of exposure to wood dust. The two groups were
compared in terms of presence or absence of respiratory symptoms. The
prevalence of respiratory symptoms among those heavily exposed to wood dust was
higher (58.5%) than it was among those moderately or mildly exposed (34.4%).
The difference was statistically significant. This finding is in agreement with
a previously recorded one that respiratory symptoms can be a sequela of exposure
to wood dust (15). The finding also differs from that of Tanimowo who found a
higher prevalence of respiratory symptoms among the control group derived from
the general population. The fact that members of the general population can
also be exposed to dusts is of prime importance and should not be
underestimated. The authors of the present report are of the opinion that
comparisons should have been made according to the exposure status regardless
of the population where the subjects come from.
Cigarette smoking was also studied in relation to respiratory
symptoms among the workers. Out of the 214 workers interviewed, 85 (40%) were
smokers. It was generally observed that the prevalence of respiratory symptoms
increased with the number of cigarette sticks a worker smoked per day.
However, when smokers were compared to non smokers, there was no significant
association between cigarette smoking and development of respiratory symptoms.
Cigarette smoking is known to predispose to cancers of the respiratory tract,
the most notorious of which being cancers of the lung and larynx. However,
symptoms due to these conditions depend on the number of cigarettes smoked per
day and the duration over which one has been a heavy smoker. It is also
reported that heavy cigarette smoking over many years predisposes to lung
cancer (18).
However, cancer is not the only disease that leads to respiratory
symptoms. Many such symptoms may be due to some acute conditions which
cigarette smoking may not be linked with (18). The confounding effect of
cigarette smoking was assessed by distributing the workers with respiratory
symptoms according to their cigarette smoking habits and status of exposure to
wood dust. When exposure to wood dust was held constant, the effect of
cigarette smoking on the presence of respiratory symptoms was minimized. This
finding suggests that the respiratory symptoms are possibly not due to
cigarette smoking, but rather due to other agents. Whether these other agents
are wood dust, other forms of dust or an infectious process, another research
is needed to prove this. It is also not established in this study whether the
general population has a similar or different trend of respiratory symptoms.
This calls for further research to establish whether there is a causal
relationship between wood dust and respiratory disease.
Conclusion
Exposure to wood dust can cause elevated respiratory symptoms.
Appropriate measures are required to improve working conditions in small-scale
industries.
Acknowledgement
The authors are indebted to the management and workers of the
small-scale wood industries for their participation. The authors thank the
Research Assistants for their assistance in data collection. This study was
supported by WOTRO Dissemination grant in Capacity Building Grants programme
File Nr .WCD 96-216.
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