Corresponding author: Prof. György Ungváry
József Fodor National Center of Public Health,
H-1450 Budapest, P. O. Box 36, Hungary
Tel: (+36) 1 215 5491,
Fax: (+36) 1 215 6891
E-mail: ncph@elender.hu
CEJOEM 1999 5(2):91-112
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Less than 8 years of elementary school |
|
|
|
|
|
8 years of elementary school |
|
|
|
|
|
Vocational training |
|
|
|
|
|
Specialized school |
|
|
|
|
|
Secondary school |
|
|
|
|
|
Vocational secondary school |
|
|
|
|
|
College |
|
|
|
|
|
University |
|
|
|
|
|
Altogether |
|
|
|
|
|
From these: physical vocational qualification |
|
|
|
|
|
Regional data show that the number of jobless persons
is especially high in the counties of Borsod-Abaúj-Zemplén
and Szabolcs-Szatmár-Bereg. No data is available on the unemployment
rate in ethnic groups. It should be noted, however, that the number of
Gypsies was the highest in the counties mentioned (31,882 and 24,970 persons,
respectively, according to the data of KSH (Hungary’s Central Office of
Statistics) on the 1st of January, 1990; in the rest of the counties the
number of the Gypsy population is less than 10,000).
Based on the aforementioned facts, it can be concluded
that the social situation and the closely correlated hygienic situation,
dwelling and nutrition of the nearly half a million unemployed may pose
public health problems even if we do not take into account the negative
economic and social effects. The analysis of the severe economic, societal
and human effects of unemployment is not the objective of the present study,
though these are of utmost importance regarding the quality of life.
|
|
|
|
|
|
Blue collar workers |
|
|
|
|
|
White collar workers |
|
|
|
|
|
Number of registered unemployed persons |
|
|
|
|
|
From these: | |||||
Receiving jobless benefit |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Among the effects of unemployment determining the
quality of life, only the adverse health effects will be discussed here.
We wish to answer three questions in the present study:
1. Whether unemployment itself has adverse health
effects.
2. What kind of adverse health effects of unemployment
can be detected in the industrialized countries.
3. If there is any similarity between the health
status of the unemployed in Hungary, Western Europe and the United States
of America.
DOES UNEMPLOYMENT HAVE ADVERSE HEALTH EFFECTS OF ITS OWN?
Safe work and its productivity for the society is one of the basic
needs of human beings. The general validity of this principle can be
supported both by philosophic and occupational health knowledge. First
we would like to quote two, rather distant philosophies or ideologies on
the topic;
– “work is a purposeful activity of human beings, involving the conquering
of natural and society forces to satisfy the historically determined needs
of mankind” (Szigeti et al., 1972);
– „First of all we must remind ourselves of the basic fact, generally
believed by the Church, that work is prior to funds. This principle directly
refers to the production processes; in the production processes work is
the primary, determinant factor, while funds are the collection of the
tools of production. This principle is obviously true and is proven by
the experience of the whole human history” (Pope John Paul II, cit. by
Sperounis et al., 1988).
So the human being has need for work, the loss or
unavailability of which must have direct effect on the individual. To make
this conclusion credible it is advisable to recollect some data and facts,
as we often hear and sometimes even say: “I hate my work, I do not like
to work!”
As it is well known, the ancient European languages
use different words for the activity which people themselves feel necessary,
which is the basis of their mental and physical health and which can be
regarded as creative activity and different word for the activity performed
on the demand of others, forcibly; this latter can also be work done for
money, for living. The English language uses the word ‘work’ in
the first instance and the work ‘labor’ in the second instance,
in Hungarian the words ‘munka’ and ‘robot’+ express the same
difference. Today the original meanings and uses of these words have changed
in some languages, or their uses have become mixed, while in other languages
one of the words took the place of the other. Both words survived in English
but neither of them is used in the original meaning anymore, while in Hungarian
both meanings and ideas are expressed nearly exclusively by using the word
‘munka’. The mixing of the meanings of the words is understandable. Originally
there was a practical difference between the meanings of ‘munka’ and ‘robot’,
as well as of ‘work’ and ‘labor’, respectively.
In the everyday language the word ‘labor’ is not
used anymore when we refer to work as basic human activity, and we “go
to work” to do our job. The word ‘work’ has a double meaning nowadays and
psychological conclusions, evaluations come from these two meanings. Both
the profit motivation and the individual performance or motivation appear
in this double meaning and this may be a source of conflict. It is known
from US data that 92% of the 110 million workers in the USA are employees.
One quarter of the latter are professional managers or supervisors who
enjoy partial autonomy of variable extent and have “upper” control, while
three quarters (the majority) of them perform only labor to sustain themselves
and their families. They have no choice of what to do under the given conditions
or under what conditions to work, what will happen to them later, as the
employer decides instead of them on all these issues; or, to be more exact,
these are determined by the economy, the labor market and prices.
Reviewing the life style and employment problems
of the American workers the Government of the USA states in the publication
entitled “Work in America” the following: the fact that work is necessary
to stay alive restricts the desire to work to man’s own liking and for
good feeling. At the same time, a lot of people continue to work even if
they are not in need of money, because they need the social interaction
offered by the workplace, they “feel like working”, and they want to share
some activities curving the interest of the public.” (Sperounis et al.,
1988).
All these explain well the human ambivalence with
respect to work. It explains why most people “hate work” sometimes and
“cannot live without work” other times. Here we can try to prove our theory
from the point of view of occupational health.
First of all, work yields stress, as well
as the interaction between stress and the genetically encoded human being
(individual) characterized by anthropometric parameters, called strain(Fig.
1). To remain healthy, human beings require optimization of strain.
Fig. 1. Stress and strain (Figure is not available on-line)
The interaction between the 24-hour or summa stress (S stress) and
the worker (S) is the so called strain. Basic requirement of health is
the optimal or near-optimal strain. Unemployment significantly decreases
the daily physical and physiological stress. Consequently the strain will
be suboptimal, which may result in disease. Agents: workplace pathogenic
factors; A: risk of accident.
Significant long-term deviation of the strain from
optimal (both upwards and downwards) leads to illness of the individual.
The adverse health effect of exaggerated strain hardly needs explanation.
If any factor of the total stress on Fig. 1 – physiological, psychic,
mental or physical – exceeds the optimal level significantly, an unfavorable
increase of the strain will be caused. The result will be the same when
the level or concentration of the work place pathogenic factors – physical
(e.g. noise, vibration, ionizing radiation), chemical (e.g. gases, vapors,
aerosols), biological (e.g. viruses, bacteria, fungi), psycho-social, ergonomic
– increasing above the threshold value. The undesirable life-style habits
(smoking, excessive drinking, etc.) are also the source of increased strain
(Ungváry, 1993).
It is also well-known that an unstimulating environment
and sub-optimal stress leads to health damage as well (e.g. monotony appears,
which may be the source of further health damage).
Our hypothesis that “work is a basic human need”
is so much true that work – with the above mentioned restrictions – is
the source of health. Obviously, the loss of a job has direct adverse health
effect (Ungváry, 1993). Because of this, it is understandable that
people refuse unemployment, regardless of its form, afflicting the individual,
whether it is of economic or of other origin, it is “absolute”, “structural”
or “frictional”, “long-term” or “temporary”, involves special groups of
the society (e.g. women, youth) or a greater segment of the society (Ungváry,
1993).
ADVERSE HEALTH EFFECTS OF UNEMPLOYMENT DETECTED IN INDUSTRIALIZED COUNTRIES
Unemployment is continuously present even in the most developed industrialized countries. In addition to the usual case-studies (Broomhall and Winefield, 1990), longitudinal studies have also dealt with the problem (Mattiasson et al., 1990, Winefield and Tiggemann, 1990). The health status of jobless people is worse, they are afflicted with more diseases than those employed. In England, in 1991–1992 unemployed were found to suffer from chronic diseases with twice higher probability than those employed (Arber, 1996). In Australia the 25–64-year old unemployed men and women are in a bad state of health twice more often, have 30–40% more severe chronic diseases, and have 20–30% more new health problems than the matched control group, consequently, smoking, drinking, physical inactivity and weight gain are not responsible for these health differences (Mathers, 1994). In countries with enduring unemployment, the increased frequency of the following health effects should be anticipated:
i) psychosomatic diseases,
ii) neuroses, psychic distress, behavioral disturbances,
iii) suicide attempts, fatalities,
iv) other health effects.
i) Taking into account that frustration, anger, disappointment, fear,
desolation and the stress situations, stress effects caused by them increase
the frequency of ischaemic heart diseases (angina pectoris, myocardial
infarction, sudden cardiac death), hypertensive diseases (Morvai, 1990),
cardiovascular diseases are “expectable” consequences of unemployment.
In their classic study Kasl and Cobb (1980) reported the increase of blood
pressure, serum uric acid and cholesterol in employees of a shipping company
in the USA, following its closedown at the end of the 1960’s. The changes
of the parameters were attributed to unemployment. An increase in cardiovascular
diseases was also reported by Beale and Nethercott (1985) who followed
the health status of 129 former employees of an English shipping company
and their families after the company closed down in 1982. Iversen et al.
(1989) compared the diseases of hospitalized workers of two shipping companies,
one of which was shut in 1983, while the other was continuing to operate
and it was found that the risk of cardiovascular diseases increased from
0.8 to 1.6 among the workers of the company that had been closed. In their
longitudinal study involving 715 shipyard workers Mattiasson et al. (1990)
analyzed the effects of employment and unemployment on the risk of cardiovascular
diseases. It was found that the serum cholesterol concentration increased,
the serum calcium concentration decreased in the group of unemployed workers
(compared to a matched control) directly before and following the factory
closedown; regression analysis proved a close correlation between serum
cholesterol and blood hemoglobin concentrations, body mass, serum triglyceride
and serum calcium concentrations, respectively, in the groups unemployed
or threatened by the loss of job; there was a positive correlation between
serum cholesterol concentration and blood pressure. The authors concluded
that in middle-aged men, unemployment increases the serum cholesterol concentration
and the frequency and level of other cardiac risk factors and these explain
the increased morbidity of the unemployed men. Other authors had similar
results (Starrin et al., 1990; Catalano, 1991; Turner et al., 1991).
Over the past few years new studies have been published
on the relationship between risk factors of cardiovascular diseases
and the employment situation.
Morris et al. (1992) studied the effect of unemployment
and early retirement on smoking, drinking and body weight in middle aged
(40–59 years) Englishmen. According to their findings, smoking and drinking
was greater among the unemployed persons just before losing their jobs
than among those with continuing employment. Loss of job did not increase
smoking and drinking but increased body weight. When comparing the morbidity
and mortality of employed and unemployed, the long-term effects of heavy
smoking and drinking before losing the job must be taken into account.
According to a number of further studies smoking
and drinking are heavier, nutrition is worse among the unemployed (Power
and Estaugh, 1990; Lee et al., 1991; Bertley, 1994; Hammarstrom, 1994).
According to the 1989–1990 National Health Study
in Australia, there is a 40–50% greater chance of unemployed Australians
being smokers, but they are also less inactive than the employed (Mathers,
1994).
Lee et al. (1991) studied the smoking habits and
the related health effects in 40–59 year old unemployed and full-time employed
persons. There were significantly more smokers and former smokers among
both male and female unemployed persons and characteristically, they began
smoking at a younger age, most of them as school children. The daily number
of cigarettes smoked was less in men than in women. There was no difference
between the employed and unemployed groups in that respect, that both were
aware of the adverse health effect of smoking.
Grayson (1993) reported in his study that in Canada
the health state of unemployed persons is much worse than that of employees,
despite their significant physical activity. The beneficiary effect of
physical activity may slightly ease, but is unable to compensate the adverse
effects of unemployment.
On the basis of the study conducted on 8,757 persons
(345 jobless and 8,402 employees) in Austria Rusky et al. (1996) concluded
that the risk situation is worse in the case of jobless persons, especially
men. The jobless persons were less motivated to lose their weight, change
their diet and significantly more tension, sleep disturbance occurred among
them. Gastrointestinal, chronic liver and respiratory diseases were also
more frequent among them and they consulted the doctor more often than
those employed.
On the basis of the abovementioned facts we consider
it proven that both the imminent loss of a job (the period when the
time of losing the job is known) and unemployment increase the risk
of cardiovascular diseases and mortality (Fig. 2, not available
on-line).
In fact, the other two known stress-related diseases
(Ink et al. 1991, Turner et al. 1991) gastric ulcer and yperthyroidism
are regarded as “expectable consequences” of joblessness.
ii) The most frequent consequences and outcomes of imminent or definite
unemployment are behavioral disturbances, mental damages, addiction
to alcohol and drugs.
Harm to well-being, psychic distress. Usually already the imminent
loss of a job, but definite unemployment will always induce these. The
“unemployment psychic stress” is an obligatory disease (Bowman, 1990; Ensminger
and Celentano, 1990; Hamilton et al., 1990; Westin, 1990; Berg, 1991; Laurell,
1991). The probability of this is even higher in our country, because neither
society, nor the individual was (are) prepared for rational behavior in
unemployment situations. In Hungary, unemployment was, is (may be) accompanied
by more negative psychic effects, because it is not a consequence of structural
changes due to technical development (where planned schemes for job change
are available), but the “result” of the dismantling of obsolete, uneconomic
technologies and nothing “at hand” to switch to. The new situation was
unexpected for the people losing their jobs and for their families – especially
in the first years of the decade – they did not have, and do not have even
today, appropriate resources, and have sizeable debts, because they felt
their job was more secure than working in the “black” or “gray” economy,
which many others had been doing. This (may) result in a paradox situation:
the escape from unemployment (learning a new vocation, starting an enterprise)
is mentally less tempting for many people, for quite a large portion of
the population (because of its novelty and the unpreparedness of the individuals),
than continuing with the “old” way of moonlighting, or joining the “black”
economy.
Fig. 2. Hypothetical mechanism of ischaemic heart disease in unemployment
(not available on-line)
The increased frequency of hypertension and hypercholestolaemia
(major risk factors) among unemployed persons explains the fact that unemployment
increases the risk of ischaemic heart disease. The schematic figure demonstrates
a postulated, possible way of causing ischaemic heart disease by unemployment.
In Germany, psychological distress was more frequent
in 45-year old men and this decreased with re-employment (Frese and Mohr,
1987). In Australia, a number of studies demonstrated that the psychological
health status of young jobless people was worse than that of the employed.
When these people found a job, their mental health improved (Graetz, 1993;
Morrell et al., 1994).
The nature of damages depends on the age of the
unemployed. It was observed by Broomhall and Winefield (1990) that the
most important issue for young unemployed persons is the quality of social
support, whereas for middle-aged men it is leisure activity that follows
work. These authors also found that the mental health of middle-aged unemployed
persons is far worse than that of the young ones, they are less contented
with life than the young persons, but their longing for work is stronger.
It is known from the study of Winefield and Tiggeman (1990) that the damage
to well-being and the intensity of psychic distress depend also on the
duration of unemployment. The distress peaks in the sixth month of unemployment.
Unemployment often leads to a special type of damage
of the personality: in addition to worry, irritability, decreased attention
and concentration ability, it leads to uncertain life conduct, crisis of
the values that guided behavior earlier, and the development and embedding
of neurotic reactions (Berg, 1991; Laurell, 1991; Turner, 1991; Vinokur
et al., 1991). In developed countries, the unemployed person is guided
by the advisory network from the loss of his or her job to the new work
place. In Hungary, the mental-hygienic assistance and therapeutic activities
of consultants (and trained psychologists) are badly needed among the unemployed
(the training of such consultants began in 1992).
A new friend or a new school for learning a new
profession may cause depression in the unemployed (Adams and Adams, 1991).
Questionnaire-interview surveys proved that in the families of unemployed
persons quarrels are two-three times more frequent than in the families
of persons in employment (Iversen et al., 1989).
Surprisingly few studies are available on the effects
of unemployment on the health of the family members. In England a 20% higher
mortality was found among the wives of the unemployed. Other unfavorable
effects of unemployment on the family are the following: divorce, aggression
at home, unwanted pregnancy, increased perinatal and new-born mortality,
unsatisfactory growth of children, seeking medical care frequently (Smith,
1987; Dooley et al., 1996; Shortt, 1996). In Australia, the children of
unemployed parents have 26% more chronic illnesses and see the doctor 20–30%
more often than children with at least one employed parent (Mathers and
Schofield, 1998).
Several studies have demonstrated a connection between
unemployment and neurosis (Rodgers, 1991), depression, as well as abuse
(Dooley et al., 1996). The psychological health status of the unemployed
was found to be worse than that of employed in cross-sectional and longitudinal
studies. A prospective study in the USA demonstrated, that depression and
anxiety are more frequent in 35–60-year old men who lost their job, than
in those employed (Linn et al., 1985).
The risk of developing depressive symptoms and clinical
depression increase twofold in those persons who lost their job, compared
to those who remained employed (Dooley et al., 1994). The most recent studies
in Canada proved a relationship between unemployment and mental health
(Hamilton et al., 1997). According to the results, good mental health status
had a favorable effect on employability. Having a job improved the mental
health status of the individuals, while unemployment had a detrimental
effect on it.
Unemployment is more frequent among the following
demographic groups: young, old, low income, immigrant, native and unskilled.
The health status is even worse in the groups with unfavorable social/economic
status within the unemployed people (Arber, 1996). This can be attributed
to the smaller chance of re-employment and worse financial situation of
the unskilled, which make it impossible to combat the effects of unemployment.
The risk of mental health damage is greater among
unemployed middle-aged men. The health status of unemployed women is not
so bad as that of men and they have less risk factors (Mathers, 1994; Arber,
1996). Hammarstrom (1994) – who analyzed the health effects of unemployment
among young people – found a stable relationship between unemployment and
psychic disorders and illnesses especially among young girls.
According to Turner (1995), the two main components
of stress caused by unemployment are:
a) financial tension, which is stronger among the individuals with
low social/economic status;
b) impairment of self-respect, which is characteristic of the victims
of unemployment with higher status.
Based on the above, it can be concluded that imminent
or definite unemployment increases the risk of psychic damage, has a detrimental
effect on well-being, and thus has adverse health effects.
Alcohol abuse, drug-addiction. The frequency
of addiction among the unemployed is high. The aim of excess drinking among
the unemployed is usually problem-solving, the majority of them are “problem
drinkers” with the exception of those who lost their jobs due to alcohol-dependence
itself (alcohol-dependent drinkers) (Morvai, 1978).
The clinically significant consumption of alcohol
is more frequent among those who lost their job (Catalano et al., 1993;
Claussen and Aasland, 1993).
Regardless of the causes of drinking, the organic
damages caused by alcohol are the same in drinkers, whether unemployed
or not (Power and Estaugh, 1990; Ink et al., 1991; Catalano, 1991). Unfortunately,
alcoholism is more frequent among long-term unemployed young people (Temple
et al., 1991). It is also a known characteristic that – although they usually
drink more frequently and more than those employed – a higher percent of
unemployed declare themselves non-drinkers than those employed (Lee et
al., 1990).
It is proven that unemployment is a risk indicator
of excess alcohol consumption, especially in young people, furthermore,
it shows a positive correlation with excess smoking and drug-abuse. Mortality
rate of young unemployed men and women is significantly higher than that
of those employed, mortality due to suicide and accidents is especially
high (Hammarstrom, 1994).
Drug addiction is a much greater threat to the unemployed
than to employed people. Unemployed groups of heroine (Hermalin et al.,
1990), opiate (Segest et al., 1990), marihuana (Hamid, 1991), and other
drug abusers (Solstad et al., 1990) have been described. More precisely:
a large proportion of those addicted to the aforementioned drugs is always
unemployed. There is an increased danger of HIV infection, too, among the
drug addicted unemployed people (Hammond et al., 1991; Vergare de Campos
et al., 1991).
iii) One of the most serious and certainly the most
dramatic outcomes of unemployment is the increased frequency of suicide
attempts and suicide (Bánfalvy, 1989; Segest et al., 1990).
Bánfalvy (1989) cited a shocking series of data from the former
West Germany (Federal Republic of Germany). In the FRG, in 1968 the number
of suicide attempts was 98 for 100 thousand employed workers, while the
same number for the unemployed was 2,848. That is, the number of suicide
attempts was more than 29 times higher among the unemployed than the employed.
Though this number decreased to 1,149 by 1983, due to the social protective
network developed in the FRG and the significant adapting abilities of
the otherwise both physically and mentally fragile person, but the frequency
of suicide attempts was still ten times higher than among the employed
(110 annually).
Owing to the detailed analysis of recent years,
the opinion on the increased frequency of suicide attempts among the unemployed
became more complex. Crombie (1990) compared the rate of unemployment among
suicide victims in 16 countries between 1973 and 1983. He found that the
number of unemployed increased in all 16 countries. In those countries
where suicide frequency increased, the increment did not exhibit a steady
relationship with the rate of unemployment. He demonstrated also that unemployment
influenced suicide attempts among males more significantly than among females.
Kreitman et al. (1991) found increased frequency of suicide attempts only
among middle-aged unemployed persons. The results of Crombie (1990) and
Kreitman et al. (1991) explain the results of Reinfurt et al. (1991) who
did not find any proof of increased frequency of suicide attempts in a
group of dock-workers who had lost their jobs. The observation of Velamoor
and Cernovsky (1990) – according to which groups of employed and unemployed
persons surviving suicide attempts behave similarly – may be important
from the point of view of predictability of repeated suicide attempts.
Morrell et al. (1993) reviewed the suicide cases
between 1907 and 1990 in Australia. It was found that suicide rate among
women was equal during this period, while that of men showed fluctuation
with peaks in synchrony with the periods of higher unemployment rate. Recently,
in 1966 and 1990, the relationship between suicide and unemployment proved
to be strongly significant among 15–24-year old men.
Yang and Lester (1992) studied the monthly number
of suicides and murders between 1957 and 1987, using multiple regression
analysis. According to their results, these are in positive correlation
with unemployment.
Cases and Harford (1998) studied the relationship
between alcohol consumption and suicide deaths in the USA between 1934
and 1987. They found that while in the population as a whole there was
no significant relationship between drinking and suicide, the amount of
alcohol consumed per person was significantly related to the increase of
suicide rate among the unemployed. This relationship could be observed
both in men and women, both in young (below 40 years) and in middle-aged
persons (40–59 years), but could not be observed above the age of 60 years.
No matter how complex a picture is given on the
suicide rate among the unemployed in most of the papers published between
1990 and 1993, it seems unanimously proven – at least in the case of some
of the endangered categories – that unemployment increases the risk and
frequency of suicide attempts and deaths (Table 5).
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
In the 1970’s Brenner (1977, 1979, 1987) demonstrated
a relationship between unemployment and mortality rates for a 40-year-period,
in several countries. As other causes might have played a part in the increase
of mortality, these studies were sharply criticized (Smith, 1987; Shortt,
1996). More convincing data were supplied as proof of the relationship
by the longitudinal studies done in the 1980s. Moser et al. (1987, 1990)
used the 1% sample of the census in 1971 and 1981 to analyze the mortality
of unemployed men in England and Wales. In both samples the mortality of
those employed was lower than the average (“healthy worker effect”). Mortality
of previously ill or disabled unemployed was three times higher than the
average. Those who were unemployed but were not ill during the first census
had a 37% higher mortality during the next 10 years.
Morris et al. (1994) studied the effect of unemployment
and early retirement on mortality in middle-aged Englishmen. They found
that the men who became jobless within five years following the first screening,
died during the next five and a half years with twice the probability of
those who remained employed (relative risk: 2.13). After correcting the
results for social and economic factors (dwelling place, social class)
and for health related life style factors (smoking, drinking and body weight)
the relative risk slightly decreased, to 1.95. The mortality of men retired
early but not because of illness increased also compared to those who continued
to work (relative risk: 1.87). They concluded that the mortality risk of
middle-aged, jobless men increased, even after correction for background
variables, so the causative relationship was proved. Tumors and cardiovascular
diseases were responsible for the increased mortality. Other studies also
found significantly increased mortality among middle-aged unemployed men
(Mathers, 1994; Arber, 1996).
The prospective epidemiological study of Martikainen
and Valkonen (1996) analyzed the data of 2.5 million 25–59-year old Finnish
men, between 1987 and 1992, a period when unemployment significantly increased
in Finland. During the examined period they found an increased mortality
among the unemployed compared to the employed after correcting for age,
education, profession and marital status.
Stefansson (1991) studied the mortality data of
28,846 unemployed men and women in Sweden, between 1980 and 1986. The total
mortality rate was 1.37–1.6 for men and 1.4 for women. The relative mortality
of young/middle-aged men was four times that of all men.
iv) Other health effects. Some other – mainly not satisfactorily
proven – health effects were also related to unemployment.
Respiratory system. Kogevinas et al. (1998) studied the respiratory
symptoms, lung function and frequency of medical treatment of unemployed
and employed men in Spain, where the rate of unemployment was high. In
1993 179 unemployed and 1,868 employed 20–44-year old persons were compared.
Bronchitis was more frequent among the unemployed. This was in relationship
partly with the more frequent smoking, the worse social status and the
earlier occupational exposure. There was no difference among the two groups
regarding asthmatic symptoms, atopy and lung function tests, or the frequency
of medical treatments.
Offspring damaging effect. Among these we mention that the body
length of newborns of unemployed fathers was found to be shorter, and these
children were found to be more vulnerable before reaching school age than
the control children born in the families of employed parents (Rona, 1991).
Recently Japanese authors reported the newborns of jobless fathers
have smaller body weight (Hiroshige et al., 1995).
Immune system. Arnetz et al. (1987) observed damage to the immune
system among long-term unemployed women.
Organic nervous system damage. Gronning et al. (1990) reported
a relationship between unemployment and the risk of sclerosis multiplex.
Locomotor system. The unemployed often complain about “low-back
pain” and this disease – always accompanied by nervous, psychic complaints
– is often responsible for the more frequent and longer sick leave of unemployed
persons (Clemmer and Mohr, 1991; Greenough and Fraser, 1991).
Adaptation problems. Hamilton et al. (1997), as well as Bowman
(1990) called attention to the fact that unskilled young black groups are
more sensitive to the psychic and other damaging effects that accompany
unemployment and their adaptation to it is deficient. Bowman (1990) attributes
this to the unavailability of earlier experiences of success for possible
use when it is most needed. These young people soon became discouraged
during job hunting and often blame themselves. This problem likely arises
in all those countries where unemployment affects a minority or ethnic
group similarly to the way it affects the black minority in the USA. Presumably
we also have to face this problem among the Gypsy population in Hungary
and we must strive to find a solution.
Taking into account that in Hungary the mortality
due to cardiovascular diseases is higher than in any of the industrialized
countries, furthermore, that alcoholism is widespread and the suicide rate
has been one of the highest in Europe for more than 100 years, we think
that adverse health effects of mass unemployment may be more serious than
in other countries and may pose public health problems. Special attention
must be paid to this presumed consequence even if it is not advisable to
apply directly to Hungary the conclusions drawn from the adverse health
effects of unemployment observed in the developed industrialized countries.
ABOUT THE HEALTH STATUS OF UNEMPLOYED IN HUNGARY
No publications were available on the relationship
between unemployment and detrimental health effects in Hungary until 1993
(Ungváry, 1993). Reports on the health status of a greater number
of unemployed persons were published based on the experiences gained in
the József Fodor National Center of Public Health during the pre-employment
medical examinations of those recruited to work in Tengiz (Ungváry
et al., 1997). Between 6 July 1993 and 30 November 1994, 4,085 mostly unemployed
“workers” were subjected to pre-employment medical examinations at our
Institute; these persons wanted to get jobs in Tengiz (Kazakhstan), as
employees of Hungarian and Western European or Canadian firms at the construction
of different projects (oil refineries, trade units, hospitals, airports).
During the examinations occupational and demographic data (occupational
history, occupational disease, cases of increased exposure, lifestyle factors
– drinking, drug use, smoking, eating, physical exercise habits, dwelling
place, education, vocational training) were registered. In addition to
these, family and personal anamnesis, physical and instrumental examinations
necessary to decide upon the fitness for the job, were performed.
The fitness of a worker for the job was decided
upon the basis of the findings of a specialist physician at level I.
If
the worker was decided “unfit” at level I and appealed, the case was decided
by the level II Committee, consisting of a specialist for internal
diseases, an occupational health specialistphysician and
an expert on tropical issues. This committee was entitled to evaluate
the abnormal findings.
Demographic data. Of the 4,085 persons 94.5% were males with
an average age of 34.9 (18–60) years, the average age of women was 31.8
(18–55) years.
According to dwelling place, 11.8% (483) of the examined population
were living in Budapest, while 88.2% of them were living in rural areas.
Life-style habits. Among the examined job hunters there were
2,246 smokers smoking more than 10 cigarettes daily.
Alcohol was consumed occasionally or regularly by 70.9% of the examinees
– 64.6%, 26.8% and 8.6% drank beer, wine and spirits, respectively.
Jobs. Males applied most often for the following jobs: tinsmith,
engine fitter, locksmith, carpenter, driver, pipe fitter, welder, insulator,
operator of heavy machinery, painter, construction worker. Women sought
jobs as kitchen aids, cleaning women.
Fitness for work. At the level I and II examinations 3,101 (75.9%)
persons of the 4,085 examined proved to be fit for the job and 619 (15.2%)
were found unfit; 365 (8.9%) waited for control examination or did not
finish the tests at the time of writing the report.
Chronic diseases or alterations diagnosed during the pre-employment
medical examinations. Among the 3,860 men examined 1,573 (40.8%), among
the 225 women 68 (30.2%) suffered from one or more chronic diseases and/or
had at least one abnormal laboratory test value. Their average age was
37.33 for men and 34.85 for women.
Chronic diseases according to ICD classification.
The “unfit” classifications were caused mainly by chronic alterations,
symptoms and diseases. Table 6 demonstrates the diseases diagnosed
and/or abnormal test results found during the pre-employment medical examinations
according to ICD classification.
ICD classification main groups |
men (n=3860) |
women (n=225) |
|
I
II
III
IV
V
VI
VII
VIII
IX
X
XII
XIII
XIV
XVI
|
Infectious diseases
Tumors Endocrine, nutritive and metabolic diseases Diseases of the blood and haemopoietic system Mental disorders Diseases of the nervous and sensory systems Diseases of the cardiovascular system Diseases of the respiratory system Diseases of the gastrointestinal system Diseases of the genito-urinary system Diseases of the skin and the subcutane tissues Diseases of the musculoskeletal system Congenital anomalies Symptoms and ill-defined conditions |
00.7 20.6 04.0 01.1 07.3 09.3 07.0 36.0 01.7 00.2 00.5 000.41 11.0 |
03.2 08.3 05.7 03.8 12.7 12.7 05.8 21.7 06.4 – 00.6 – 18.5 |
The disease pattern of the population which worked
earlier in the construction sector and had been unemployed for a few months
to a maximum of 2 years correlates only partly with the disease pattern
characteristic to unemployed populations according to the summary of the
international literature. The number and rate of those suffering from cardiovasculardiseases
is significant in accordance with the international data. These diseases
were observed in 20% of all cases. It should be noted, however, that this
rate is only slightly higher than the same rate observed among people with
similar occupations, dwelling places and ages who had a job.
This high disease rate is probably related to the
Hungarian lifestyle; during the short period of unemployment the frequency
of cardiovascular diseases did not increase significantly, unemployment
and lifestyle having parallel effects. It deserves emphasis that in 185
cases the blood pressure was higher than 160/95 mmHg.
The number and rate of behavioral disorders (mental
disease, depression) increased in accordance with the international data.
Still much more cases of alcoholism occurred among the examined. The fact
that following level I examinations, out of the 1,691 candidates who were
deemed unfit, 898 (70% of those appealing) became fit-for-work, indicates
that alcohol consumption was related with unemployment and hopelessness.
The hope of getting a job was enough for the candidates to endure the alcohol-free
diet and at the second examination, 8–12 weeks after the first one, they
became “fit-for-work” – with normal liver function tests.
From this study no conclusion could be drawn regarding
the most serious health damaging behavior related to unemployment – suicide
attempts and the mortality among unemployed – owing to the unsuitability
of the study protocol designed for other purposes.
The No 27/1996 Decree of Hungary’s Minister of Welfare
requires that special consultations must be operated in the area of occupational
health with the tasks of performing medical examinations prior to vocational
training before accepting the applicants to the school and pre-employment
medical examinations of unemployed persons before assignment to perform
public work. The six special consultations in Budapest are located in the
Hungarian Institute of Occupational Health of the József Fodor National
Center of Public Health and three of them are operated in the central building
of the Institute providing for the Northern part of Budapest. These special
consultations began their work with full intensity in 1998; 1,160 unemployed
persons were examined between 2 January and 30 June 1998. One-tenth of
the examined persons were less than 25 years of age, half of them were
more than 40 years of age; women made up 30% of those younger than 25 years,
70% of those between 25 and 40 years of age, and 50% of those older than
40 years. There were a high number of people who were illiterate or had
less than 8 years of schooling (6.8%); 50% had 8 years of education, 30.2%
had received vocational training, 17.4% had a secondary school education
and 3.4% had college or university degrees (most of the latter were alcoholics).
With the exception of those younger than 25 years,
the examined persons had been unemployed for more than two years.
Compared to the institute’s control, the following
diseases were found to be in correlation with unemployment in the examined
population:
Skin diseases. 12.5% of all examinees suffered from skin mycoses
or pyodermas (Erdélyi, 1998). The latter is probably in connection
with bad hygienic conditions. (Note: the rate of skin diseases was less
than 1% among those who were unemployed for a shorter period, cf. Ungváry
et al., 1997).
Cardiovascular system. The rate of hypertension among the 18–39
year-old men doubled, among the unemployed women and 40–55 year-old men,
it was similar to the national average (Erdélyi, 1998).
Behavioral disturbances, suicides. In 5.5% of the cases it was
revealed that the parents, one of the parents or the subjects themselves
had already attempted suicide. Less than 1% of the Hungarian population
attempts suicide once or more times during their lifetimes (Erdélyi,
1998).
Alcohol consumption. Frequent and high-volume alcohol consumption
was indicated by the increased frequency of positive liver function test
results and increased red cell volume. The examinations carried out so
far need completion regarding alcohol consumption (Erdélyi, 1998).
Similar information was received on the health status
of unemployed persons in Hajdú-Bihar county at the Congress of the
Society of Hungarian Occupational Health Physicians in 1998 (Tóth,
1998).
In Hungary, the examination of the health status
of unemployed persons started with appropriate intensity in January 1998.
Comprehensive analysis of these data is the task of the coming years. Owing
to the mandatory pre-employment and fitness-for-job examinations, the Hungarian
studies involve a greater proportion (and number) of unemployed than any
other study available in the international literature. In drawing conclusions
from the analysis of these data, one must take into account that no matter
how great a number of unemployed are involved in these studies, they refer
only to the “healthier” portion of all unemployed. Obviously, those unemployed
who do not feel themselves fit for work due to their illness, will not
undergo fitness-for-work examinations. The health alterations identified
at these examinations in increased numbers in the whole examined population
represent only the “top of the iceberg” (upper half, third). Therefore
the importance of the conclusions drawn from these data is probably greater
than what follows from the data reported. This means that the quality of
life of the unemployed, characterized by their health status, is worse
than what the presently available Hungarian data would suggest.
The suitability for vocational training or fitness-for-job
are considered more exact characteristic parameters of the quality of life.
Taking into account that the proportion of those unfit for a job among
the unemployed is 30–40% – while they think themselves fit for work (healthy)
– in contrast with the 0.5–3% found during the examinations of employed
persons, we may conclude that unemployment significantly deteriorates the
health status of workers, and is health-damaging. A similar conclusion
was drawn by Mathers and Schofield in their latest review (1998).
In summary, we may conclude that the pattern of
health damage caused by unemployment in Hungary is similar to that observed
in the developed, industrialized countries, but also shows differences;
one such difference is the increased frequency of some diseases related
to poor hygienic conditions (mycotic skin diseases and pyodermas). On the
other hand, it can be stated that unemployment further deteriorates
the Hungarian public health situation (increases the rate of chronic,
non-communicable diseases) and reduces the chance of people being fit-for-work.
Therefore, unemployment is considered to be one of the most significant
factors of deterioration of the quality of life.
REFERENCES
ADAMS, M. and ADAMS, J. (1991). “Life events, depression, and perceived problem solving alternatives in adolescents.” J. Child. Psychol. Psychiatry 32:811–820.
ARBER, S. (1996). “Integrating non-employment into research on health inequalities.” Int. J. Health Serv. 26:445–481.
ARNETZ, B. B., WASSERMAN, J., PETRINI, B., BRENNER, S. O., LEVI, L., ENEROTH, P., SALOVAARA, H., HJELM, R., SALOVAARA, L., and THEORELL, T. (1987). “Immune function in unemployed women.” Psychosom. Med. 46:3–12.
BERTLEY, M. (1994). “Unemployment and ill health: understanding the relationship.” J. Epidemiol. Community Health 48:333–337.
BÁNFALVY, C. S. (1989). “Unemployment.” (In Hungarian) Gyorsuló idõ sorozat. Magvetõ Kiadó. Budapest.
BEALE, N. and NETHERCOTT, S. (1985). “Job-loss family morbidity: a study of a factory closure.” J. R. Coll. Gen. Pract. 35:510–514.
BERG, J. E. (1991). “Unemployment and ill health. What is the relationship between occupational ability and employees resources?” Nord. Med. 106:305–307.
BOWMAN, P. J. (1990). “The adolescent-to-adult transition: discouragement among jobless black youth.” New Dir. Child Dev. 46:87–105.
BRENNER, M. H. (1977). “Health costs and benefits of economic policy.” Int. J. Health Serv. 7:581–623.
BRENNER, M. H. (1979). “Mortality and the economy: a review, and the experience of England and Wales, 1936–1976.” Lancet 2:568–573.
BRENNER, M. H. (1987). “Economic change, alcohol consumption and heart disease mortality in nine industrialized countries.” Soc. Sci. Med. 25:119–132.
BROOMHALL, H. S. and WINEFIELD, A. H. (1990). “A comparison of the affective well-being of young and middle-aged unemployed men matched for length of unemployment.” Br. J. Med. Psychol. 63:43–52.
CASES, F. and HARFORD, T. (1998). “Time series analysis of alcohol consumption and suicide mortality in the United States, 1934–1987.” J. Stud. Alcohol 59:455–461.
CATALANO, R. (1991). “The health effects of economic insecurity.” Am. J. Public Health 81:1148–1152.
CATALANO, R., DOOLEY, D., WILSON, G., and HOUGH R. (1993). “Job loss and alcohol abuse: a test using data from the Epidemiologic Catchment Area project.” J. Health Soc. Behav. 34:215–225.
CLAUSSEN, B. and AASLAND, O. G. (1993). “The Alcohol Use Disorders Identification Test (AUDIT) in a routine health examination of long-term unemployed.” Addiction 88:363–368.
CLEMMER, D. I. and MOHR, D. L.(1991). “Low-back injuries in a heavy industry. II. Labor market forces.” Spine 16:831–834.
CROMBIE, I. K., (1990). “Can changes in the unemployment rates explain the recent changes in suicide rates in developed countries?” Int. J. Epidemiol. 19:412–416.
DOOLEY, D., CATALANO, R., and WILSON, S. (1994). “Depression and unemployment: panel findings from the Epidemiologic Catchment Area study.” Am. J. Community Psychol. 22:745–765.
DOOLEY, D., FIELDING, J., and LEVI, L. (1996). “Health and unemployment.” Ann. Rev. Public Health 17:449–465.
ENSMINGER, M. E. and CELENTANO, D. D. (1990). “Gender differences in the effect of unemployment on psychological distress.” Soc. Sci. Med. 30:469–477.
ERDÉLYI, E. (1998). “Mirror-mirror – the reflection of health status of employees exposed to psychosocial pathogenic factors” (In Hungarian). Congress of the Hungarian Scientific Society of Occupational Physicians. Tata.
FRESE, M. and MOHR, G. (1987). “Prolonged unemployment and depression in older workers: a longitudinal study of intervening variables.” Soc. Sci. Med. 25:173–178.
GRAETZ, B. (1993). “Health consequences of employment and unemployment: longitudinal evidence for young men and women.” Soc. Sci. Med. 36:715–724.
GRAYSON, J. P. (1993). “Health, physical activity level, and employment status in Canada.” Int. J. Health Serv. 23:743–761.
GREENOUGH, C. G. and FRASER R. D. (1991). “Comparison of eight psychometric instruments in unselected patients with back pain.” Spine 16:1068–1074.
GRONNING, M., HANNISDAL, E., and MELLGREN, S. I. (1990). “Multivariate analysis of factors associated with unemployment in people with multiple sclerosis.” J. Neurol. Neurosurg. Psychiatry 53:388–390.
HAMID, A. (1991). “From Ganja to crack: Caribbean participation in the underground economy in Brooklyn, 1976–1986. Part l. Establishment of the marijuana economy.” Int. J. Addict. 26:615–628.
HAMILTON, V. L., BROMAN, C. L., HOFFMAN, W. S., and RENNER, D. S. (1990). “Hard times and vulnerable people: initial effects of plant closing on autoworkers’ mental health.” J. Health Soc. Behav. 31:123–140.
HAMILTON, V. H., MERRIGAN, P., and DUFRESNE, E. (1997). “Down and out: estimating the relationship between mental health and unemployment.” Health Econ. 6:397–406.
HAMMARSTROM, A. (1994), “Health consequences of youth unemployment – review from a gender perspective.” Soc. Sci. Med. 38:699–709.
HAMMOND, G. W. (1991). “Seroprevalence and demographic characteristics of injection drugs users among individuals at risk for HIV infection in Winnipeg, Manitoba, Canada.” Clin. Invest. Med. 14:437–443.
HERMALIN, J. A., STEER, R. A., PLATT, J. J., and METZGER, D. S. (1990). “Risk characteristics associated with chronic unemployment in methadone clients.” Drug. Alcohol Depend. 26:117–125.
HIROSHIGE, Y., MATSUDA, S., and KAHYO, H. (1995). “The association between parents’ unemployment and birthweight in Japan.” Nippon Eiseigaku. Zasshi. 50:652–659.
INK, O., DEJONGHE, J. P., HAGEGE, H., SIBONY-TUA, L., GOUBET, M., GUILLIET, A., PELLETIER, G., BALETTE, M., FELINE, A., and ETIENNE, J. P. (1991). “Long-term outcome of alcoholic patients after a stay in a hospital hepatogastroenterology unit”. Gastroenterol. Clin. Biol. 15:620–628.
IVERSEN, L., SABROE, S., and DAMSGAARD, M. T. (1989). “Hospital admissions before and after shipyard closure.” Br. Med. J. 299:1073–1076.
KASL, S. V. and COBB, S. (1980). “The experience of losing a job: some effects on cardiovascular functioning.” Psychother. Psychosom. 34:88–109.
KOGEVINAS, M., ANTO, J. M., TOBIAS, A., ALONSO, J., SORIANO, J., ALMAR, E., MUNIOZGUREN, N., PAYO, F., PEREIR, A. A., and SUNIER, J. (1998). “Respiratory symptoms, lung function and use of health services among unemployed young adults in Spain. Spanish Group of the European Community Respiratory Health Survey.” Eur. Respir. J. 11:1363–1368.
KREITMAN, N., CARSTAIRS, V., and DUFFY, J. (1991). “Association of age and social class with suicide among men in Great Britain.” J. Epidemiol. Community Health 45:195–202.
LAURELL, A. C. (1991). “Crisis, neoliberal health policy, and political processes in Mexico.” Int. Health Serv. 21:457–470.
LEE, A. J., CROMBIE, I. K., SMITH, W. C., and TUNSTALL-PEDOE, H. D. (1990). “Alcohol consumption and unemployment among men: the Scottish Heart Health Study.” Br. J. Addict. 85:1165–1170.
LEE, A. J., CROMBIE, I. K., SMITH, W. C., and TUNSTALL-PEDOE, H. D. (1991). “Cigarette smoking and employment status.” Soc. Sci. Med. 33:1309–1312.
LINN, M., SANDIFER, R., and STEIN, S. (1985). “Effects of unemployment on mental and physical health.” Am. J. Public Health 75:502–506.
MARTIKAINEN, P. T. and VALKONEN, T. (1996). “Excess mortality of unemployed men and women during a period of rapidly increasing unemployment.” Lancet 348:909–912.
MATHERS, C. D. (1994). Health Differentials among Adult Australians Aged 25–64 Years. Australian Institute of Health and Welfare”. Health Monitoring Series No. 1. Canberra.
MATHERS, C. D. and SCHOFIELD, D. J. (1998). “The health consequences of unemployment: the evidence.” M. J. A. 168:178–182.
LINDGARDE MATTIASSON, I., F., NILSSON, J. A., and THEORELL, T. (1990). “Threat of unemployment and cardiovascular risk factors: longitudinal study of quality of sleep and serum cholesterol concentrations in men threatened with redundancy.” Br. Med. J. 301:461–466.
MORRELL, S., TAYLOR, R., QUINE, S., and KERR, C. (1993). “Suicide and unemployment in Australia 1907–1990.” Soc. Sci. Med. 36:749–756.
MORRELL, S., TAYLOR, R., QUINE, S., KERR, C., and WESTERN, J. (1994). “A cohort study of unemployment as a cause of psychological disturbance in Australian youth.” Soc. Sci. Med. 38:1553–1564.
MORRIS, J. K., COOK, D. G., and SHAPER, A. G. (1992). “Non-employment and changes in smoking, drinking, and body weight.” Br. Med. J. 304:536–541.
MORRIS, J. K., COOK, D., G., and SHAPER, A. G. (1994). “Loss of employment and mortality.” Br. Med. J. 308:135–1139.
MORVAI, V. (1978). Praeclinical stage of alcoholic cardiac disease. (In Hungarian). Theses. Budapest.
MORVAI, V. (1990). “Cardiovascular diseases.” (In Hungarian) In: Foglalkozási betegségek (M. Timár, ed.) OMIKK, Budapest, pp. 375–377.
MOSER, K. A., GOLDBLATT, P. O., FOX, A. J., and JONES, D. R. (1987). “Unemployment and mortality: comparison of the 1971 and 1981 longitudinal study census samples.” Br. Med. J. 1:86–90.
MOSER, K. A., GOLDBLATT, P. O., FOX, A. J., and JONES, D. R. (1990). “Unemployment and mortality.” In: Longitudinal Study: Mortality and Social Organization. (P. Goldblatt, ed.) OPCS, Series LS No. 6, London.
POWER, C. and ESTAUGH, V. (1990). “Employment and drinking in early adulthood: a longitudinal perspective.” Br. J. Addict. 85:487–494.
RASKY, E., STRONEGGER, W. J., and FREIDl, W. (1996). “Employment status and its health-related effects in rural Styria, Austria.” Prev. Med. 25:757–763.
REINFURT, D., W., STEWART, J. R., and WEAVER, N. L. (1991). “The economy as a factor in motor vehicle fatalities, suicides, and homicides.” Accid. Anal. Prev. 23:453–462.
RODGERS, B. (1991). “Socio-economic status, employment and neurosis.” Soc. Psychiatry Psychiatr. Epidemiol. 26:104–114.
RONA, R., J. and CHINN, S. (1991). “Father’s unemployment and height of primary school children in Britain.” Ann. Hum. Biol. 18:441–448.
SEGEST, E., MYGIND, O., and BAY, H. (1990). “The influence of prolonged stable methadone maintenance treatment on mortality and employment: an 8-year follow-up.” Int. J. Addict. 25:53–63.
SHORTT, S. (1996). “Is unemployment pathogenic? A review of current concepts with lessons for policy planners.” Int. J. Health Sci. 26:569–589.
SMITH, R. (1987). “Unemployment and Health: A Disaster and a Challenge.” Oxford University Press. Oxford.
SOLSTAD, K., HANSEN, N. R., LINDHARDT, A. M., PETERSSON, B. H., and SADOLIN, S. (1990). “The significance of unemployment for admission to a psychiatric department.” Ugeskr. Laeger. 152:2428–2430.
SPEROUNIS, F. P., MILLER, L. M., and LEVENSTEIN, CH. (1988). “The American Workplace: A Sociological Perspective.” In: Occupational Health. Recognition and Preventing Work-related Disease. (B. S. Levy, D. H. Wegman. eds.) Chapter 2, pp. 15–26.
STARRIN, B., LARSSON, G., BRENNER, S. O., LEVI, L., and PETTERSON, I. L. (1990). “Structural changes, ill health, and mortality in Sweden, 1963–1983: A macroaggregated study.” Int. J. Health Serv. 20: 27–42.
STEFANSSON C. G. (1991). “Long-term unemployment and mortality in Sweden, 1980–1986.” Soc. Sci. Med. 32:419–423.
SZIGETI, GY-Né, VÁRI, GY-Né, and VOLCZER, Á. (Eds.) (1972). Pocket Encyclopedia of Phylosophy. (In Hungarian) 2nd Ed. Kossuth Könyvkiadó, Budapest, pp. 239–240.
TEMPLE, M. T., FILLMORE, K. M., HARTKA, E., JOHNSTONE, B., LEINO, E. V., and MOTOYOSHI, M. (1991). “A meta-analysis of change in marital and employment status as predictors of alcohol consumption on a typical occasion.” Br. J. Addict. 86:1269–1281.
THORNLEY, C. N., WALTON, V. A., ROMANS-CLARKSON, S. E., HERBISON, G. P., and MULLEN, P. E (1991). “Screening for psychiatric morbidity in men and women.” N. Z. Med. J. 104:505–507.
TÓTH, E. (1998). “Experiences of the fitness-for-work examinations of public workers.” (In Hungarian) Congress of the Hungarian Scientific Society of Occupational Physicians, Tata.
TURNER, J. B., KESSLER, R. C., and HOUSE, J. S. (1991). “Factors facilitating adjustment to unemployment: implications for intervention.” Am. J. Community Psychol. 19:521–542.
TURNER, J. B. (1995). “Economic context and the health effects of unemployment.” J. Health Soc. Behav. 36:213–229.
UNGVÁRY, GY., GRÓNAI, É., MÁNDI, A., and BÉLECZKI, L. (1997). “Experiences of the pre-employment medical examinations of prospective employees in Tengiz.” (In Hungarian) Foglalkozás-egészségügy 1:6–13.
UNGVÁRY, GY. (1993). “The adverse health effect of unemployment.” (In Hungarian) Magyar Tudomány 2:159–167.
VELAMOOR, V. R. and CERNOVSKY, Z. (1990). “Unemployment and the nature of suicide attempts.” Psychiatr. J. Univ. Ott. 15:162–164.
VERGARE, DE CAMPOS A., PEREZ MORENO, J. A., BASCUNANA, QUIRELL, A., TORRES-TORTOSA, M., PEREZ-JIMENEZ, F. J., PEREZ CORTES, S., CASTILLO PALMA, M. J., PEREZ, PEREZ M., LORENTE, and CAMPOS J. (1991). “Acquired immunodeficiency syndrome in the province of Cadiz. A study of 269 consecutive patients.” Med. Clin. Barc. 97:404–409.
VINOKUR, A. D., PRICE, R. H., and CAPLAN, R. D. (1991). “From field experiments to program implementation: Assessing the potential outcomes of an experimental intervention program for unemployed persons.” Am. J. Community Psychol. 19:543–562.
WESTIN, S. (1990). “The structure of a factory closure: individual responses to job-loss and unemployment in a 10 year controlled follow-up study.” Soc. Sci. Med. 31:1301–1311.
WINEFIELD, A. H. and TIGGEMANN, M. (1990). “Length of unemployment and psychological distress: Longitudinal and cross-sectional data.” Soc. Sci. Med. 31:461–465.
YANG, B. and LESTER, D. (1992). “Suicide, homicide and unemployment:
a methodological note.” Psychol. Rep. 7:844–846.
Received: 02 July 1999
Accepted: 16 July 1999 Posted 12 December 1999 |
|