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The cohort of young Danish farmers – A longitudinal study of the health effects of farming exposure

Authors:
  • National Research Centre for the Working Environment / Aarhus University
  • Regional Hospital Viborg

Abstract

Working in agriculture poses a serious risk for development of respiratory diseases, especially when working in animal housing. Animal workers are exposed to a mixture of organic and inorganic dust together with fumes and gases, including allergens and microbial-associated molecular patterns with a potentially major impact on respiratory health and the immune system. Exposure to microbial agents in animal housing is associated with an increased prevalence of respiratory symptoms, including bronchial hyperresponsiveness, accelerated lung function decline, and neutrophil-mediated inflammation. These clinical findings are often seen without IgE-mediated sensitization. In fact it has been found in recent studies that the prevalence of atopic sensitization and atopic asthma is low among farmers compared with other populations. The SUS study was designed to identify the type and occurrence of respiratory symptoms and disease, and to investigate risk factors for respiratory disorders and changes in lung function among young farming students. The cohort of young Danish farmers was established in 1992/1994 and followed up in 2007/2008 with a participation rate of 51.7%. The cohort consists of 1734 male farming students, 230 female farming students, and 407 army recruits as controls.
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The cohort of young Danish farmers – A
longitudinal study of the health effects of farming
exposure
Grethe Elholm1,2
Øyvind Omland1,2
Vivi Schlünssen1
Charlotte Hjort3
Ioannis Basinas1
Torben Sigsgaard1
1Department of Environmental and
Occupational Medicine, Institute of
Public Health, Aarhus University;
2Department of Occupational Health,
Aalborg Hospital, Aarhus University
Hos pital; 3Regional Hospital Viborg,
Skive, Kjellerup
Correspondence: Grethe Elholm
Institute of Public Health, Department
of Environmental and Occupational Health,
Aarhus University, Bartholins Alle 2,
Building 1260, 8000 Aarhus C, Denmark
Tel +45 22112044
Fax +45 89426199
Email gelh@mil.au.dk
Abstract: Working in agriculture poses a serious risk for development of respiratory diseases,
especially when working in animal housing. Animal workers are exposed to a mixture of organic
and inorganic dust together with fumes and gases, including allergens and microbial-associated
molecular patterns with a potentially major impact on respiratory health and the immune system.
Exposure to microbial agents in animal housing is associated with an increased prevalence of
respiratory symptoms, including bronchial hyperresponsiveness, accelerated lung function
decline, and neutrophil-mediated inflammation. These clinical findings are often seen without
IgE-mediated sensitization. In fact it has been found in recent studies that the prevalence of atopic
sensitization and atopic asthma is low among farmers compared with other populations. The SUS
study was designed to identify the type and occurrence of respiratory symptoms and disease,
and to investigate risk factors for respiratory disorders and changes in lung function among
young farming students. The cohort of young Danish farmers was established in 1992/1994 and
followed up in 2007/2008 with a participation rate of 51.7%. The cohort consists of 1734 male
farming students, 230 female farming students, and 407 army recruits as controls.
Keywords: respiratory health, atopy, asthma, rhinitis, lung function, farming environment,
occupational exposure, cohort study
Introduction
The farming industry is an important export industry in Denmark, as well as in many
other Western countries. Investigation of the occupational health hazards of farming
is therefore of considerable interest to both the farming industry and the Danish
community. Despite major changes in farming during recent decades, and an increased
awareness of the potential hazards from agricultural exposure, the risk of lung diseases
and loss of lung function in farm workers is still considerable.1
Working in agriculture poses a serious risk for development of respiratory diseases,
especially when working in animal housing. Animal housing workers are exposed
to a mixture of organic and inorganic dust together with fumes and gases, including
allergens and microbial-associated molecular patterns (MAMP) with a potentially
major impact on respiratory health and the immune system.2,3
Respiratory health effects in farming, especially in swine-confinement work-
ers are well described. Exposure to microbial agents in a swine-confinement
environment is associated with an increased prevalence of respiratory symptoms,
including bronchial hyperresponsiveness (BHR), accelerated lung function decline,
and neutrophil-mediated inflammation,2,4 without IgE-mediated sensitization
against swine and food allergens. In fact, it has been found in recent studies that
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the prevalence of atopic sensitization and atopic asthma
is low in farmers compared with other populations. A low
prevalence of allergy and allergic asthma has been found
in studies of children5 and young adults6 born and raised
on a farm,6 as well as in adult farmers exposed to the same
environment.7,8 The general respiratory health of any farmer
is also dependent on individual genetic makeup. It has been
found that toll-like receptor (TLR) gene polymorphisms
are important determinants of susceptibility to asthma and
allergy.9 TLRs are an evolutionarily conserved group of
molecules which are a part of the innate immune system.
TLRs are expressed in antigen-presenting cells and epithe-
lial cells, and have microbial molecules as ligands.10
The SUS study was designed to identify the type and
occurrence of respiratory symptoms, measure lung function,
and investigate risk factors for respiratory disorders and
annual rates of change in lung function among young farm-
ing students. Data were analyzed both as a cross-sectional
study at baseline and as part of a case-control follow-up
study over five years.
Most of the research in this area has been in the form of
cross-sectional studies. Few cohort studies have been reported
thus far and, to our knowledge, no studies have addressed the
respiratory health of people entering the farming industry at a
young age. Although sensitization to storage mites and other
airborne allergens has been described, reports on sensitization
to hog antigens have been inconclusive concerning the extent
to which allergies contribute to the increased prevalence of
respiratory symptoms in farm workers.
In an attempt to clarify the contribution of farming expo-
sure to respiratory disease and loss of lung function over time,
the SUS study was followed up with the SUS12 study. During
the SUS12 study, the initial SUS cohort was re-examined.
The SUS12 follow-up study in combination with the origi-
nal data from the SUS study now allows for longitudinal
investigation of risk factors and occupational influence on
the development of respiratory disease. Furthermore, it is
possible to investigate potential gene-environment interac-
tions related to farming exposure. The SUS project group is
collaborating with the European research group GABRIEL,
which is focusing on genes important for asthma and gene-
environment interactions among children and working adult
populations, using a whole genome analysis and candidate
gene approach (http://www.gabriel-fp6.org/).
Despite the wealth of research on sensitisation, lung dis-
ease, and lung function done in farm workers in the last three
decades, important questions remain unanswered. There is
no unequivocal documentation of which dust components in
the exposure have adverse health effects. Incidence studies
of health outcomes which include reliable, representative,
and valid exposure assessments have yet to be published.
Incidence studies with asthma and COPD as outcomes still
need to be performed. The question of phenotypes and geno-
types of asthma and the association with exposure is yet to
be fully answered. There is currently no knowledge of any
time window for the “protective effect” of being raised on a
farm regarding sensitisation, inflammation, and lung disease.
Does childhood exposure to rural allergens confer an overall
protection, or does the individual experience an increase in
sensitization with time in a dose-dependent manner? Does the
protective effect of farming exposure on allergic sensitization
continue over time? Additionally, how can a supposed high
allergen exposure convey loss of sensitization? What is the
association between changes in sensitization and the risk
of respiratory disorders? What influence does occupational
activation of MAMPs have on the diseases encountered in
farming?
Trial design
This research included both a cohort study which was a cross-
sectional comparison of type and occurrence of respiratory
symptoms in farming students and nonfarming rural controls
and a longitudinal study which investigated new cases of respi-
ratory disease over time in relation to farming exposure.
Study population
The cross-sectional study consisted of 2478 farming students
identified during their second stay at the farming schools in
Denmark during the period February 1992 to February 1994.
of 2004 students (81%) who indicated that they wished to
participate, 40 (2%) did not attend for their baseline clini-
cal assessment. The final group consisted of 1734 male and
230 female farming students. Army recruits were invited to
participate as controls, provided that they came from rural
areas but were not planning on becoming farmers. There
were 967 eligible army recruits of whom 592 (61%) agreed
to participate. A random sample of 407 of these recruits
were chosen and used in the study. The demographics of the
cohort are presented in Table 1 and their lung function and
respiratory symptoms are summarized in Table 2.
Follow-up
The subjects were investigated at baseline and then followed
up with annual questionnaires and phone interviews for
five years. All new respiratory symptoms were recorded.
All subjects reporting new asthma symptoms and a matched
Clinical Epidemiology 2010:2 47
The cohort of young danish farmers
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control group without symptoms were offered a clinical
assessment to establish a diagnosis. In 2007 a comprehensive
follow-up of the cohort was done using the Danish Civil
Registration System to track new addresses, deaths, and
emigration in the cohort. Of the 2371 participants, 2262 were
identified to have a new Danish address, while 26 had died,
and 51 had emigrated or did not have a permanent address.
Thirty-two subjects could not be identified, most often
because of incorrect registration of their unique personal
identity number during the baseline study.
Measurements
Health outcome
At baseline the original SUS questionnaire was used, and
in SUS12 this was extended to include further questions
from the European Community Respiratory Health Survey
(http://www.ecrhs.org). Lung function was measured
with a dry bellow spirometer and with a spirometer
(MicroMedical®; Lyngby Denmark). For the SUS12 study the
software was transferred for use on portable computers using
the Windows 2000 platform. BHR was recorded according to
the Yan method11 with a calibrated DeVilbiss No 40 nebulizer
(Devilbiss Healthcare, LLC, Johnstown, PA, USA) con-
nected to an “artificial hand” which uses compressed air to
produce a pressure pulse similar to that created by a hand.12
For skin prick tests (SPT), a panel of nine common inhalant
allergens (grass, mugwort, horse, dog, cat, house dust mites,
moulds [Alternaria alternata and Claudosporium herbarum],
extended with three storage mites [Tyrophagus putres-
centiae, Lepidoglyphus destructor, and Acarus siro], and
swine and cow dander were used (Soluprick®, ALK-Abello,
Copenhagen, Denmark).
Exposure data
At baseline and annually for five consecutive years, ques-
tionnaire information about the number and type of housed
animals and amount of work done in these settings was
recorded for all subjects in the cohort. In the case-control
Table 1 Demographic and exposure characteristics of the cohort (n = 2,371)
Female students
(n = 232)
Male students
(n = 1734)
Male controls
(n = 405)
Demographics
Age (yrs)§19.1 (17–47) 18.5 (17–49) 19.0 (18–23)
Height (cm)§169 (149–192) 183 (161–198) 181 (166–197)
Smokers* 73 (32) 554 (32) 136 (34)
Exposures
Hours farm work/week§37 (0–72) 40 (0–100) 0 (0–65)
Work with swine* 67 (29) 433 (25) 10 (3)
Work with cattle* 66 (28) 575 (34) 18 (4)
Work with swine and cattle* 22 (10) 231 (13) 13 (3)
Field work* 89 (39) 1125 (66) 64 (16)
Notes: §Median (min – max), *n (%).
Table 2 Lung function and respiratory symptoms in the cohort
Female students Male students Male rural controls
Smokers
(n = 73)
Non-smokers
(n = 159)
Smokers
(n = 554)
Non-smokers
(n = 1180)
Smokers
(n = 136)
Nonsmokers
(n = 269)
Lung function mean (SD)
FEV13.49 (±0.47) 3.61 (±0.55) 4.57 (±0.58) 4.64 (±0.61) 4.75 (±0.59) 4.70 (±0.65)
FVC 4.04 (±0.55) 4.14 (±0.67) 5.48 (±0.68) 5.42 (±0.72) 5.57 (±0.69) 5.50 (±0.78)
Respiratory symtoms N (%)
Asthma 5 (6.8) 10 (6.3) 35 (6.3) 46 (3.9) 4 (2.9) 11 (4.1)
BHR 6 (8.5) 15 (9.8) 66 (12.2) 94 (8.2) 9 (7.2) 22 (8.5)
Hayfever 14 (19.2) 20 (12.6) 48 (8.7) 109 (9.3) 18 (13.2) 42 (15.6)
§Median (min – max), *(n) may vary due to missing values (%).
Abbreviation: BHR, bronchial hyperresponsiveness.
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study, detailed hygienic information was recorded on,
eg, type of feeding systems, type of litter, use of respirators,
and cleaning procedures.
In SUS12, a more comprehensive exposure assessment
including personal measurements and exposure modeling has
been applied. One hundred farms were randomly selected
and stratified by type and size in a defined geographical
area among the remaining active farming population of the
initial SUS cohort. Approximately 250 farmers employed in
the selected farms have been monitored during the summer
and winter of 2008–2009. Full-shift personal inhalable dust
samples (one in each season) are being collected on 37 mm
glass fiber filters using GSP sampling heads at a flow rate of
3.5 L/min from every farmer. Concurrently, farmers are asked
to fill in a detailed diary regarding their working activities
for one week in each period (14 days in total). Walk-through
surveys and personal interviews are performed to collect
information on technical parameters and farm characteristics
with known or suspected influence on the levels of expo-
sure. Models on associations between technical parameters,
farm characteristics, working tasks and exposure (dust and
MAMPs) including within- and between-worker variabil-
ity will be developed using regression analysis based on
linear mixed-effect models. The derived equations will be
used along with questionnaire data on historical exposure
and exposure information from two previous studies13,14 to
estimate current and retrospective exposure in the follow-up
study.
Completeness of follow-up
The cohort consists of 2371 participants; for the SUS12 study,
only 2262 of these could be identified with an address in
Denmark, because some of the participants had immigrated,
died, or were simply lost to follow-up. Of the identifiable par-
ticipants, only 1170 were available to be re-examined, represent-
ing an overall attrition rate of 51.7%, which was attributable to
several reasons, including subjects choosing not to participate in
the follow-up study, failure to attend for their follow-up appoint-
ment, and/or not responding to letters or phone calls.
Ongoing release of data
The SUS study has so far lead to the publication of 13 peer-
reviewed articles,6,15–26 one thesis,27 and several presentations
at international conferences. An overview of the 13 articles
and the main findings is summarised in Table 3.
The study showed that sensitisation to mites, animal
dander, and pollen was higher in controls than in farming
school students.16 Analyses published in 2002 demon-
strated a lower prevalence of allergic symptoms, BHR, and
sensitisation measured with skin prick test, and specific
Table 3 Published articles originating from the SUS study
References Main ndings
15 The resistance of the mini-Wright ow meter causes less variation in recordings but reduce peak expiratory ow.
16 Skin prick tests to house dust and storage mites were more prevalent among controls compared with male and female
farming students; size of house dust mite weal and number of positive skin prick reactions were associated with BHR.
17 No relation between asthma and farming exposure was seen, but lung function was slightly reduced in the male
farming students compared with male controls. Prevalence of asthma was related to smoking, female sex, and family
history of asthma and allergy.
18 The shape of the maximum expiratory ow-volume curve reects exposure in farming.
19 S and Z α1-antitrypsin alleles are risk factors for BHR in young farmers indicating a gene/environment interaction.
20 LDS using FEV1 is the best spirometric index to measure short time repeatability of histamine bronchial testing.
6 Farming students born and raised on a farm had lower prevalence of allergic symptoms, BHR, positive SPT, and
specic IgE than students raised on a farm.
21 Selenium measured both in serum and urine is associated with mild asthma and atopy.
22 For asthmatics the time domain index α175 was found to discriminate better among the ow indices applied
whereas for BHR the LDS using FEV1 was superior to other measures of BHR.
23 CD3 levels in young farmers correlate with respirable dust exposure levels during work in swine-connement housing.
24 Exposure to work-related levels of swine dust upregulates CD106 in human alveolar macrophages.
25 A single exposure to organic dust in non-naïve nonexposed volunteers induces long lasting symptoms of endotoxin
tolerance.
26 CD14/-260 and CD14/-651 promoter polymorphisms associated with atopy prevalence in young adults with farm
exposure.
Abbreviations: BHR, bronchial hyperresponsiveness; LDS, log dose slope; SPT, skin prick test.
Clinical Epidemiology 2010:2 49
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and total IgE in subjects raised on a farm, compared with
upbringing elsewhere.6 As opposed to a possible protective
effect of being raised on a farm, low concentrations of alpha-
1 antitrypsin and rare genotypes (ZZ, ZS, SS) were found
to increase the risk of BHR, but only among the farming
students, indicating a gene-environment interaction for the
inflammatory asthma phenotype.19 Preliminary analyses
using available exposure data from other sources have found
a dose-response relationship between estimated exposure to
total dust and new onset of asthma.28 Furthermore, the preva-
lence of chronic bronchitis, self-reported asthma with BHR,
and BHR was low. The prevalence of self-reported asthma
without BHR was high. Lung function was slightly lower in
male farming students compared with controls. There was
a weak or no association between smoking and respiratory
symptoms as well as lung function. It was found that FEV1
was the best index to measure basal lung function in response
to bronchial provocation.
The SUS study has contributed significantly to our
understanding of the inflammatory mechanisms involved
in the immune response to organic dust exposure. This was
investigated by exposing the participants for three hours
to a swine-confinement environment containing dust and
endotoxin levels at the lower end of the exposure range for
Danish and European farms. It was found that dust exposure
activated the complement system. Particularly for the farm-
ing students, C3d plasma levels correlated with respirable
dust. Acute exposure was also seen to lead to other weak
systemic inflammatory responses.23 Further dust exposure
studies suggest that there is a specific requirement for CD106
during inflammatory recruitment of monocytes in the human
lung,24 and this has previously been shown to be the case in
the murine lung. Endotoxin tolerance has previously been
described in vitro and in animal studies as a mechanism that
modifies the threshold at which immune response occurs. It
has also been found that long-lasting endotoxin tolerance
and immune suppression may be induced by brief exposure
to dust concentrations in the medium-low range of occupa-
tional levels.25
The SUS study has furthermore been used to investigate
the correlation between selenium levels and asthma and
atopy. It was found that selenium in serum and urine is
associated with mild asthma and atopy.21
The longitudinal study provides data for investigating the
incidence of respiratory disease in a farming environment.
These data will also enable investigation of the interactions
between genes and the environment and elucidation of the
risk factors involved in the development of new asthma
cases. It will also be possible to investigate the effects
of respiratory diseases on lung function, and identify the
parameters that describe this change best. Finally it would
be helpful to be able to estimate the effect of respiratory
symptoms and disease on change of work environment for
the individual.
Strengths and weaknesses
The SUS cohort affords a unique opportunity for a longitu-
dinal investigation of the effect of farming exposure on lung
function and respiratory symptoms. To our knowledge, this
cohort is unique. As already mentioned, lung function and
respiratory symptoms have been assessed in all study partici-
pants in both at the SUS and the SUS12. It will also be pos-
sible using these data to assess respiratory health in relation
to specific farming exposure for each subject. Additionally,
important information on potential gene-environment interac-
tion is emerging from this research through the GABRIEL
collaboration. However, a potential weakness of this research
is the relatively high attrition rate of approximately 50%,
which might affect the significance of data generated by
future statistical analyses.
Access to data
A website has been created (http://www.folkesundhed.au.dk/
mil/forskning/sus12), where the status of the SUS12 project
is regularly updated. Specific questions regarding the cohort
or the SUS12 project can be addressed to either Professor
Torben Sigsgaard (ts@mil.au.dk), Associate Professor Vivi
Schlünssen (vs@mil.au.dk), Associate Professor Øyvind
Omland (oo@rn.dk), or Senior Consultant Charlotte Hjort
(c.hjort@dadlnet.dk).
Acknowledgments
The cohort study was set up by Charlotte Hjort, Torben Sigs-
gaard and Øyvind Omland from The Institute of Public Health
at University of Aarhus, Denmark. Funding for the SUS
study was from The Danish Agency for Science Technology
and Innovation, The Danish Medical Research Council, The
Danish Agricultural Research Council, Helsefonden, and the
PC Petersen Foundation. In SUS12 Vivi Schlünssen joined
the core group. The main contributors for the SUS12 study
were The Danish Working Environment Research Fund,
The Danish Research Council Aarhus University, and The
Danish Lung Association. The authors wish to thank the
farming students and the control subjects for their patience
and enthusiasm, and the staff of the farming schools for their
ongoing support.
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... As an extension of the SUS (Sund Stald, i.e. healthy stables) study of Danish farmers (Elholm et al., 2010) we therefore applied molecular methods (Blais Lecours et al., 2012) for the identification of archaea and bacteria in bioaerosols from personal exposure samples among farmers. ...
... Details on the aims and design of the original SUS study of all students from farming schools in Denmark in 1992-1994 and the 15-year follow-up can be found elsewhere (Sigsgaard et al., 1997;Elholm et al., 2010). So can the details on the selection of farms and on the exposure assessment for this study (Basinas et al., 2012). ...
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Objectives: Methanogenic archaea have been found to make up part of the bioaerosols in pig, cattle, and poultry farms. So far no attempts have been made to determine how season, farm type, and farm characteristics may affect workers' exposure to archaea. Methods: Personal filter samples from 327 farmers working on 89 Danish farms were analysed for the number of 16S rRNA gene copies from archaea and bacteria and for their dust and endotoxin content. The farms were visited during summer and winter. Information on farm type and stable characteristics were collected using self-reported activity diaries and walk-through surveys. Differences in archaea and bacteria levels with farm type and stable characteristics and correlations with dust and endotoxin levels were examined. Results: Personal archaea exposure was documented in all farm types including, for the first time, during mink farming. At 7.3*104 gene copies m-3 the archaea levels were around two orders of magnitude lower than bacteria levels at 5.7*106 gene copies m-3. At 1.7*105 gene copies m-3 among pig farmers and 1.9*104 gene copies m-3 among cattle farmers the archaea levels differed with farm type (P < 0.0005). The archaea and bacteria levels correlated weakly with a Pearson correlation coefficient of 0.17. Neither archaea nor bacteria levels differed by season. In pig farms the archaea levels differed by type of ventilation and by wetness of the floor. Conclusions: Archaea levels were not neglible and appeared to vary greatly between farm types. In pig farms they varied with some farm characteristics. Archaea levels appeared to depend on factors that differed from those of bacteria.
... ⋅ the French Agriculture and Cancer cohort study (AGRICAN (Leveque-Morlais et al., 2015), ⋅ the United States Agricultural Health Study (AHS (Alavanja et al., 1996), ⋅ the Cancer in the Norwegian Agricultural Population cohort (CNAP (Kristensen et al., 1996), ⋅ the Korean Multi-Center Cancer cohort (KMCC (Yoo et al., 2002), ⋅ the United States Marshfield Epidemiologic Study Area Farm cohort (MESA (Greenlee et al., 2005), ⋅ the Danish Sund Stald Study (SUS (Elholm et al., 2010), ⋅ the Australian Pesticide Exposed Workers cohort (MacFarlane et al., 2010), and ⋅ the Victorian Grain Farmers cohort (MacFarlane et al., 2008). ...
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Background Agricultural work can expose workers to potentially hazardous agents including known and suspected carcinogens. This study aimed to evaluate cancer incidence in male and female agricultural workers in an international consortium, AGRICOH, relative to their respective general populations. Methods The analysis included eight cohorts that were linked to their respective cancer registries: France (AGRICAN: n = 128,101), the US (AHS: n = 51,165, MESA: n = 2,177), Norway (CNAP: n = 43,834), Australia (2 cohorts combined, Australian Pesticide Exposed Workers: n = 12,215 and Victorian Grain Farmers: n = 919), Republic of Korea (KMCC: n = 8,432), and Denmark (SUS: n = 1,899). For various cancer sites and all cancers combined, standardized incidence ratios (SIR) and 95% confidence intervals (CIs) were calculated for each cohort using national or regional rates as reference rates and were combined by random-effects meta-analysis. Results During nearly 2,800,000 person-years, a total of 23,188 cancers were observed. Elevated risks were observed for melanoma of the skin (number of cohorts = 3, meta-SIR = 1.18, CI: 1.01–1.38) and multiple myeloma (n = 4, meta-SIR = 1.27, CI: 1.04–1.54) in women and prostate cancer (n = 6, meta-SIR = 1.06, CI: 1.01–1.12), compared to the general population. In contrast, a deficit was observed for the incidence of several cancers, including cancers of the bladder, breast (female), colorectum, esophagus, larynx, lung, and pancreas and all cancers combined (n = 7, meta-SIR for all cancers combined = 0.83, 95% CI: 0.77–0.90). The direction of risk was largely consistent across cohorts although we observed large between-cohort variations in SIR for cancers of the liver and lung in men and women, and stomach, colorectum, and skin in men. Conclusion The results suggest that agricultural workers have a lower risk of various cancers and an elevated risk of prostate cancer, multiple myeloma (female), and melanoma of skin (female) compared to the general population. Those differences and the between-cohort variations may be due to underlying differences in risk factors and warrant further investigation of agricultural exposures.
... The study found a significantly reduced prevalence of atopy among young Danish farmers, especially among those raised on farms (Portengen et al., 2002). SUS12 was the follow-up study conducted in 2007/2008, where the participants of the original SUS study were reexamined (Elholm et al., 2010). As part of SUS12 study, settled dust samples were collected in pig stables and in farmers' bedrooms over a 14-day period using an electrostatic dust collector (EDC). ...
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Airborne bacterial communities are subject to conditions ill-suited to microbial activity and growth. In spite of this, air is an important transfer medium for bacteria, with the bacteria in indoor air having potentially major consequences for the health of a building's occupants. A major example is the decreased diversity and altered composition of indoor airborne microbial communities as a proposed explanation for the increasing prevalence of asthma and allergies worldwide. Previous research has shown that living on a farm confers protection against development of asthma and allergies, with airborne bacteria suggested as playing a role in this protective effect. However, the composition of this beneficial microbial community has still not been identified. We sampled settled airborne dust using a passive dust sampler from Danish pig stables, associated farmers' homes, and from suburban homes (267 samples in total) and carried out quantitative PCR measurements of bacterial abundance and MiSeq sequencing of the V3-V4 region of bacterial 16S rRNA genes found in these samples. Airborne bacteria had a greater diversity and were significantly more abundant in pig stables and farmers' homes than suburban homes (Wilcoxon rank sum test P < 0.05). Moreover, bacterial taxa previously suggested to contribute to a protective effect had significantly higher relative and absolute abundance in pig stables and farmers' homes than in suburban homes (ALDEx2 with P < 0.05), including Firmicutes, Peptostreptococcaceae, Prevotellaceae, Lachnospiraceae, Ruminococcaceae, Ruminiclostridium, and Lactobacillus. Pig stables had significantly lower airborne bacterial diversity than farmers' homes, and there was no discernable direct transfer of airborne bacteria from stable to home. This study identifies differences in indoor airborne bacterial communities that may be an important component of this putative protective effect, while showing that pig stables themselves do not appear to directly contribute to the airborne bacterial communities in the homes of farmers. These findings improve our understanding of the role of airborne bacteria in the increasing prevalence of asthma and allergy.
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Background: West Bengal is a major producer of fresh vegetables in India. Despite that the farmers belongs to the low socio-economic group and thus their food insecurity exists, necessitating assessment of their nutritional status. Methods: Based on their activity level, a descriptive cross-sectional study was conducted to assess the nutritional status of 333 vegetable cultivators of North 24 Parganas district comprising of both males and females. Using 24-hr dietary recall questionnaire, the daily nutritional intake were evaluated to estimate nutritional insufficiency, including that of vitamin A, thiamin, riboflavin and vitamin C, iron, zinc, calcium and magnesium. The collected data were statistically analyzed using mean, standard deviation and t-test using SPSS (version 22). Result and Conclusion: Deficiency of micronutrients is common among the vegetable cultivators, along with excess intake of energy which create imbalance in the nutrient intake irrespective of gender and activity levels.
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Background The prevalences of obstructive and restrictive spirometric phenotypes, and their relation to early-life risk factors from childhood to young adulthood remain poorly understood. The aim was to explore these phenotypes and associations with well-known respiratory risk factors across ages and populations in European cohorts. Methods We studied 49 334 participants from 14 population-based cohorts in different age-groups (≤10, >10–15, >15–20, >20–25 years, and overall, 5–25 years). The obstructive phenotype was defined as FEV 1 /FVC z-score <the lower limit of normal (LLN), whereas the restrictive as FEV 1 /FVC z-score ≥LLN, and FVC z-score <LLN. Results The prevalence of obstructive and restrictive phenotypes varied from 3.2–10.9% and 1.8–7.7%, respectively, without clear age trends. A diagnosis of asthma (adjusted odds ratio, aOR=2.55 [95% CI=2.14–3.04]), preterm birth (aOR=1.84 [1.27–2.66]), maternal smoking during pregnancy (aOR=1.16 [1.01–1.35]), and family history of asthma (aOR=1.44 [1.25–1.66]) were associated with a higher prevalence of obstructive, but not restrictive phenotype across ages (5–25 years). A higher current body mass index (BMI) was more often observed in those with the obstructive phenotype but less in those with the restrictive (aOR=1.05 [1.03–1.06] and aOR=0.81 [0.78–0.85], per kg/m ² increase in BMI, respectively). Current smoking was associated with the obstructive phenotype in participants older than 10 years (aOR=1.24 [1.05–1.46]). Conclusion Obstructive and restrictive phenotypes were found to be relatively prevalent during childhood, which supports the early origins concept. Several well-known respiratory risk factors were associated with obstructive phenotype, whereas only low BMI was associated with the restrictive phenotype, suggesting different underlying pathobiology of these two phenotypes.
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Objectives To study exposure-response relations between cumulative organic dust exposure and incident chronic obstructive pulmonary disease (COPD) among subjects employed in the Danish farming and wood industry. Methods We studied exposure-response relations between cumulative organic dust exposure and incident COPD (1997–2013) among individuals born during 1950–1977 in Denmark ever employed in the farming or wood industry (n=1 75 409). Industry-specific employment history (1964–2007), combined with time-dependent farming and wood industry-specific exposure matrices defined cumulative exposure. We used logistic regression analysis with discrete survival function adjusting for age, sex and calendar year. Adjustment for smoking status was explored in a subgroup of 4023 with smoking information available. Results Cumulative organic dust exposure was inversely associated with COPD (adjusted rate ratios (RR adj (95% CIs) of 0.90 (0.82 to 0.99), 0.76 (0.69 to 0.84) and 0.52 (0.47 to 0.58) for intermediate-low, intermediate-high and high exposure quartiles, respectively, compared with the lowest exposure quartile). Lagging exposure 10 years was not consistently suggestive of an association between cumulative exposure and COPD; RR adj (95% CI): 1.05 (0.94 to 1.16), 0.92 (0.83 to 1.02) and 0.63 (0.56 to 0.70). Additional stratification by duration of employment showed no clear association between organic dust exposure and COPD except for the longer exposed (15–40 years) where an inverse association was indicated. Subgroup analyses showed that smoking had no impact on exposure-response estimates. Conclusions Our findings show no increased risk of COPD with increasing occupational exposure to organic dust in the farming or wood industry. Potential residual confounding by smoking can, however, not be ruled out.
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Background: One-third of all young persons entering the work force have a history of atopic disease. Occupationally induced allergy and asthma generally arise in the first few months on the job, while pre-existing symptoms tend to worsen. Young persons with a history of an atopic disease should receive evidence-based advice before choosing a career. Methods: We systematically searched PubMed for cohort studies investigating the new onset of asthma, rhinitis, or hand eczema among job trainees from before the start of training and onward into the first few years on the job. The search revealed 514 articles; we read their abstracts and selected 85 full-text articles for further analysis. 24 of these met the inclusion criteria. Results: According to present evidence, atopy and a history of allergic disease (allergic rhinitis, atopic dermatitis) are the main risk factors for occupationally induced disease. The predictive value of a personal history of allergic diseases for the later development of an occupationally induced disease varies from 9% to 64% in the studies we analyzed. It follows that only young people with severe asthma or severe atopic eczema should be advised against choosing a job that is associated with a high risk of allergy, e.g., hairdressing or working with laboratory animals. Young people with a history of other atopic diseases should be counseled about their individual risk profile. Conclusion: In view of the relatively poor predictive value of pre-existing atopic disease, secondary prevention is particularly important. This includes frequent medical follow-up of the course of symptoms over the first few years on the job. If sensitization or allergic symptoms arise, it should be carefully considered whether exposure reduction will enable the apprentice to stay on the job.
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Field surveys of dust concentrations within and dust emissions from cattle, pig and poultry buildings were conducted in England, the Netherlands, Denmark and Germany. Measurements of inhalable and respirable dust concentrations were made in 329 buildings. Concentrations of CO2within and outside the buildings were also measured to estimate ventilation rates for dust emission calculations.Dust concentrations and emissions were affected significantly by housing type and animal species. Overall mean inhalable and respirable dust concentrations were 0·38 and 0·07 mg/m3in cattle buildings, 0·19 and 0·23 mg/m3in pig buildings, and 3·60 and 0·45 mg/m3in poultry buildings, respectively. Overall mean inhalable and respirable dust emission rates from the buildings were 110 and 19 mg/h bovine, 111 and 14 mg/h pig, and 12 and 2 mg/h bird, respectively. Expressed per 500 kg liveweight, the values become, respectively, 145 and 24 mg/h for cattle; 762 and 85 for pigs; and 3165 and 504 for poultry.Seasonal effects on dust concentrations in and emissions from cattle buildings were weak. Dust concentrations in pig and poultry buildings were higher in winter than summer. Inhalable dust emission rates from pig and poultry buildings were higher in summer than winter. Effects of season on respirable dust emission rates from pig and poultry buildings were small.Inhalable dust concentrations in cattle buildings were higher in the day than at night, but effects differed between countries. Pig buildings showed higher dust (both inhalable and respirable) concentrations in the day than at night. Percheries and buildings for caged layers showed higher inhalable dust concentrations in the day than at night. However, dust concentrations in broiler houses were not affected by day and night.The high concentrations of inhalable dust in broiler houses, in percheries for hens and in slatted weaner and fattener houses for pigs give cause for concern for both stockman and animal health and performance.
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A rapid, simple method for measuring bronchial responsiveness to inhaled histamine is described. The method was used to obtain dose response curves in 50 atopic subjects with varying respiratory and nasal symptoms. The cumulative dose of histamine which caused a 20% fall in the one second forced expiratory volume (PD20-FEV1) varied between 0.046 and greater than 3.9 mumol and correlated with the severity of symptoms. The reproducibility of the PD20-FEV1, determined from duplicate measurements in 15 subjects with varying degrees of bronchial responsiveness was found to be satisfactory. When the PD20-FEV1 from this rapid method was compared with that obtained from the dosimeter method no significant difference was found. The dose delivered by this method was shown to be cumulative.
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The purpose of this study was to examine whether the resistance of the peak flow meter influences its recordings. One hundred and twelve subjects, (healthy nonsmokers and smokers and subjects with lung diseases) performed three or more peak expiratory flow (PEF) manoeuvres through a Fleisch pneumotachograph with and without a mini-Wright peak flow meter added in random order as a resistance in series. The results were as follows. In comparison with a pneumotachograph alone, peak flow measured with an added mini-Wright meter had a smaller within-test variation, defined as the difference between the highest and second highest values of PEF in a series of blows. The mean (SE) variation was 14 (1.3) L.min-1 and 19 (1.5) L.min-1 with and without meter added, respectively. In comparison with the pneumotachograph alone, the addition of the mini-Wright meter caused PEF to be underread, especially at high flows. The difference (PEF with meter minus PEF without meter) = -0.064 (average PEF) -8 L.min-1; R2 = 0.13. The mean difference was -7.8 (1.1) %, and increased numerically for a given PEF, when maximal expiratory flow when 75% forced vital capacity remains to be exhaled (MEF75%FVC) decreased. The reproducibility criteria for repeated measurements of peak flow are more appropriately set at 30 L.min-1 than the commonly used 20 L.min-1, because a within-test variation of less than 30 L.min-1 was achieved in 76% of the subjects without PEF meter inserted and in 88% with meter inserted, with no difference between healthy untrained subjects and patients. The resistance of the peak expiratory flow meter causes less variation in recordings but reduces peak expiratory flow, especially at high values and when the peak is large as compared with the rest of the maximal expiratory flow-volume curve.
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The aim of this study was to assess the prevalence of asthma (self-reported) and relate this to lung function and factors associated with asthma in young farmers. Two hundred and ten female and 1,691 male farming students together with 407 males controls were studied. Each subject underwent a medical interview; forced expiratory volume in one second (FEV1) and forced vital capacity (FVC) were recorded using a dry wedge spirometer. Histamine bronchial reactivity was measured using the Yan method. Skin prick testing was performed using inhalant allergens. Nonsmokers had lower prevalence of asthma (5.4-10.8%) than smokers (11.3-21.0%) (p<0.05). Females reported symptoms of asthma nearly twice as often as males. Sex, smoking and a family history of asthma/allergy were significantly associated with asthma. Controls had higher standardized FEV1 and FVC residuals than male students, both nonsmokers (0.21 and 0.24) versus (-0.06 and -0.05) and smokers (0.29 and 0.33) versus (-0.11 and 0.13) (p<0.032). Bronchial hyperresponsiveness, asthma, siblings with allergy and working with cattle (controls only) were significantly associated with reduced lung function. In conclusion, the prevalence of asthma was significantly related to smoking, female sex, family history of asthma and allergy. Whilst bronchial hyperresponsiveness was associated with reduced lung function and lung function was slightly reduced in the male farming students, there was no association found between occupational farming exposure and either lung symptoms or lung function.
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We have measured bronchial responsiveness (BR) to histamine on two occasions between 5 and 24 h apart, to determine if conventional and new indices of BR are repeatable. A random sample of 29 healthy male subjects with a mean age of 19 (SD 3.44) years from a larger study repeated a Yan method test of BR, recording both partial and maximal expiratory flow volume (PEFV and MEFV) curves. From the MEFV curves log-dose slopes (LDS) for forced expiratory volume in 1 sec (FEV1), forced expiratory flow between 25% and 75% of forced vital capacity (FVC) (FEF(25-75%)), mean expiratory flow at 30% and 40% of FVC (MEF30, MEF40), and the first moment of the spirogram (alpha1) truncated at 75% and 90% of FVC were calculated, as well as the provocative dose that induces a 20% fall in FEV1 (PD20FEV1). From the PEFV curves LDS for alpha(1)75% and alpha(1)90%, and MEF30 and MEF40 were derived. Apart from MEF30 and alpha(1)90% the second test was significantly lower (P<0.05) than the first when measuring the repeatability of spirometric indices, whereas the LDS of the indices showed no significant change. The repeatability expressed as intra-class correlation coefficient (ICC) was highest for LDS FEV1 (0.87), second highest for LDS MEF40 (0.67) and LDS MEF30 (0.65). The LDS for moment indices were much less repeatable and the lowest ICC was found in all LDS indices derived from PEFV curves. Within-subject variance was not influenced by atopic status, smoking habits or recordable PD20FEV1. As tests for bronchial hyper-responsiveness (BHR) the LDS of FEV1, MEF40 and MEF30 seem to be acceptable for use in population studies.
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Background In a previous study inverse associations between asthma and exposure to fungal spores and endotoxins in atopic farmers and positive associations with the same factors in non-atopic farmers were documented. No external reference population had been included. We, therefore, compared this farming population with the general population from an adjacent region.Methods Random samples of a farming (n = 2,106) and a rural (n = 351) and urban (n = 727) general population were selected. Atopy was assessed by serum IgE and asthma by questionnaires.ResultsThe asthma prevalence was 4.0% among farmers, 5.7% in the rural, and 7.6% in the urban population. Atopy was similar (9–10%). Most asthmatics were not atopic, 67–75%. Farmers had asthma less often than the general population OR 0.52 (95% CI 0.36–0.75); both atopic (OR 0.33 (95% CI 0.15–0.69)) and non-atopic asthma (OR 0.60 (95% CI 0.39–0.93)).Conclusion This may indicate a protective effect of the farm environment on asthma but a healthy worker effect may also play a role. Am. J. Ind. Med. 46:396–399, 2004. © 2004 Wiley-Liss, Inc.
Article
Emissions of ammonia from livestock farming are responsible for the acidification and eutrophication of deposited ammonia in the environment. Research into the ammonia emission from livestock houses was carried out in 14 housing types for cattle, pigs and poultry in England, The Netherlands, Denmark and Germany. Concentrations of ammonia and carbon dioxide (the latter for estimating ventilation rates) were measured at seven locations inside and one location outside in four replicates of each housing type over 24h under summer and winter conditions. Mean concentrations and emissions per housing type per country were estimated together with some variance components. Mean ammonia concentrations were lower than 8 p.p.m. in cattle houses, between 5 and 18 p.p.m. in pig houses and between 5 and 30 p.p.m. in poultry houses. The concentrations of ammonia in a number of pig and poultry houses exceeded the threshold value of 25 p.p.m. and may affect adversely the health of both stockmen and animals. Ammonia emissions from cattle houses (dairy cows, beef and calves) varied between 80 and 2001 mg/h per animal or 315 and 1798 mg/h (500 kg) live weight. Ammonia emissions from pig houses (sows, weaners and finishers) varied between 22 and 1298 mg/h per animal or 649 and 3751 mg/h (500 kg) live weight. Ammonia emissions from poultry houses (laying hens and broilers) varied between 2·1 and 39·4 mg/h per bird or 602 and 10 892 mg/h (500 kg) live weight. The emission rates should be used carefully, because of large variations between countries, between commercial houses and between seasons. Not all variations could be explained in terms of physical and chemical processes involved in the emission of ammonia. A comparison with other Dutch results revealed that the method used in this research for measuring ammonia emission rates produced accurate mean emission rates.
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Objectives Estimates of long-term average exposure to occupational hazards are often imprecise because intraindividual variability in exposure can be large and exposure is usually based on one or few measurements. One potential result is bias of exposure-response relationships. The possibility was studied of a more valid measure of exposure being obtained by modeling exposure and consequently increasing the number of days with exposure estimates, using simple measurable exposure surrogates. Methods In a group of 198 Dutch pig farmers, exposure to endotoxins was measured on one workday in summer and one day in winter. Farmers recorded activity patterns during one week in both seasons, and farm characteristics were evaluated. Relationships between farm characteristics and activities and log-transformed measured exposure levels were quantified in a multiple regression analysis. Exposure was estimated for 14 d with known activity patterns. Results The ratio of intraindividual and interindividual variance in log-transformed measured exposure was 4.7. Given this ratio, the true regression coefficient of lung function on exposure would potentially be attenuated by 70%. The variance ratio for predicted exposures was only 1.2, and the potential attenuation by variation in exposure estimates was decreased to 8%. There was no relationship between lung function and measured exposure. Modeled long-term average exposure was inversely related to base-line lung function; it reached statistical significance for asymptomatic farmers. Conclusion The results suggest that the presented strategy offers a possibility to minimize measurement effort in occupational epidemiologic studies, without apparent loss of statistical power.
Article
The respiratory health of 230 female and 1,734 male farming students (FS) and 407 male rural controls was analyzed. A significantly increased prevalence of cough (6.9%) was reported among the male FS compared to the controls (2.5%). Measured FEV1 and FVC did not differ between the male FS and the controls, as opposed to significantly higher values among the female FS compared to a random sample of urban females stratified for height. Skin prick test (SPT) to house dust and storage mites was significantly more prevalent among the controls (18.7%) compared to the male FS (12.8%) and the female FS (11.9%). The size of the house dust mite weal and the number of positive skin prick reactions were significantly associated with bronchial hyperreactivity. The difference in lung function among the female FS and the lower prevalence of skin reaction among the male FS and female FS probably reflects a healthy workers selection.
Article
Estimates of long-term average exposure to occupational hazards are often imprecise because intraindividual variability in exposure can be large and exposure is usually based on one or few measurements. One potential result is bias of exposure-response relationships. The possibility was studied of a more valid measure of exposure being obtained by modeling exposure and consequently increasing the number of days with exposure estimates, using simple measurable exposure surrogates. In a group of 198 Dutch pig farmers, exposure to endotoxins was measured on one workday in summer and one day in winter. Farmers recorded activity patterns during one week in both seasons, and farm characteristics were evaluated. Relationships between farm characteristics and activities and log-transformed measured exposure levels were quantified in a multiple regression analysis. Exposure was estimated for 14 d with known activity patterns. The ratio of intraindividual and interindividual variance in log-transformed measured exposure was 4.7. Given this ratio, the true regression coefficient of lung function on exposure would potentially be attenuated by 70%. The variance ratio for predicted exposures was only 1.2, and the potential attenuation by variation in exposure estimates was decreased to 8%. There was no relationship between lung function and measured exposure. Modeled long-term average exposure was inversely related to base-line lung function; it reached statistical significance for asymptomatic farmers. The results suggest that the presented strategy offers a possibility to minimize measurement effort in occupational epidemiologic studies, without apparent loss of statistical power.