Crowding, Study notes of Food Science and Technology

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Typology: Study notes

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Crowding
One potential source of stress is crowding. Environmental psychologists
distinguish between the physical measurement of density and the
psychological feeling of crowding. Density is defined as the physical area
available to the given number of individuals present, while crowding is
the psychological feeling of not having enough space available. Paulus
(1980) concluded that while high density (a large number of individuals
per unit of space) is usually necessary for crowding, it does not always
produce the negative feeling of crowding. For example, at an enjoyable
party or an exciting football game, we might have high density but not
perceive being crowded. On the other hand, if we are on a deserted beach
and someone else comes within view, we might feel crowded, even
though the density is not high. Crowding is a psychological
phenomenon. Most people think of crowding as a negative situation. It is
usually assumed (but often unproven) that crowding automatically leads
to aggression, violence, and crime. A number of studies have reported
positive correlations between high density and negative social conditions,
such as crime. For example, Schmitt (1966) found that as the density of
the population in Honolulu increased, the crime rate, death rate, and
mental-disorder rate also increased. But Freedman (1975) argued that
when social factors such as economic level, educational level, and
ethnicity are taken into account, the relationship between crowding and
crime disappears. Thus, it seems that the issue of crowding is more
complex than we first believed it to be. In research studies, usually it is
found that performance decreases as density increases. But we feel less
crowded with friends than with strangers. It is likely that someone with a
large personal space need would feel crowded sooner than someone with
a small personal space need. Sex differences have been reported by
Freedman and his colleagues, with males usually experiencing more
stress in high-density situations. The importance of cognitive factors in
crowding was demonstrated in a 1984 experiment by Worchel and Brown.
The experimenters showed either an arousing film (which was humorous,
aggressive, or sexual in content) or a nonarousing film to college students
who were seated inappropriately close to one another. Subjects who were
watching an arousing film attributed their arousal feelings to the film and
thus did not experience crowding. However, subjects who were watching
the nonarousing film could not attribute their arousal (actually caused by
the inappropriately close seating arrangement) to the film, and so felt
crowded. Crowding, therefore, was dependent upon the perception of the
source of the arousal. In his 1975 book Crowding and Behavior, Jonathan
Freedman argued that crowding is neither good nor bad. Instead, in his
density-intensity theory of crowding he suggests that as density increases,
the intensity of our moods and behavior increases. Thus, if we expect to
have a good time at a party and the party is crowded, we'll really enjoy
ourselves. But if we expect to have a bad time, crowding makes us feel
miserable. Baum and colleagues (1981) argued that when people are
aware of the density level beforehand they will feel less crowded than
those who do not know what to expect. In an urban setting, if crime is a
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Crowding

One potential source of stress is crowding. Environmental psychologists

distinguish between the physical measurement of density and the

psychological feeling of crowding. Density is defined as the physical area

available to the given number of individuals present, while crowding is

the psychological feeling of not having enough space available. Paulus

(1980) concluded that while high density (a large number of individuals

per unit of space) is usually necessary for crowding, it does not always

produce the negative feeling of crowding. For example, at an enjoyable

party or an exciting football game, we might have high density but not

perceive being crowded. On the other hand, if we are on a deserted beach

and someone else comes within view, we might feel crowded, even

though the density is not high. Crowding is a psychological

phenomenon. Most people think of crowding as a negative situation. It is

usually assumed (but often unproven) that crowding automatically leads

to aggression, violence, and crime. A number of studies have reported

positive correlations between high density and negative social conditions,

such as crime. For example, Schmitt (1966) found that as the density of

the population in Honolulu increased, the crime rate, death rate, and

mental-disorder rate also increased. But Freedman (1975) argued that

when social factors such as economic level, educational level, and

ethnicity are taken into account, the relationship between crowding and

crime disappears. Thus, it seems that the issue of crowding is more

complex than we first believed it to be. In research studies, usually it is

found that performance decreases as density increases. But we feel less

crowded with friends than with strangers. It is likely that someone with a

large personal space need would feel crowded sooner than someone with

a small personal space need. Sex differences have been reported by

Freedman and his colleagues, with males usually experiencing more

stress in high-density situations. The importance of cognitive factors in

crowding was demonstrated in a 1984 experiment by Worchel and Brown.

The experimenters showed either an arousing film (which was humorous,

aggressive, or sexual in content) or a nonarousing film to college students

who were seated inappropriately close to one another. Subjects who were

watching an arousing film attributed their arousal feelings to the film and

thus did not experience crowding. However, subjects who were watching

the nonarousing film could not attribute their arousal (actually caused by

the inappropriately close seating arrangement) to the film, and so felt

crowded. Crowding, therefore, was dependent upon the perception of the

source of the arousal. In his 1975 book Crowding and Behavior, Jonathan

Freedman argued that crowding is neither good nor bad. Instead, in his

density-intensity theory of crowding he suggests that as density increases,

the intensity of our moods and behavior increases. Thus, if we expect to

have a good time at a party and the party is crowded, we'll really enjoy

ourselves. But if we expect to have a bad time, crowding makes us feel

miserable. Baum and colleagues (1981) argued that when people are

aware of the density level beforehand they will feel less crowded than

those who do not know what to expect. In an urban setting, if crime is a

dominant behavior, crowding will increase the crime level. But if positive

social behaviors predominate, crowding will produce beneficial effects.

Freedman argues that therefore it is important to make sure that positive

social environments exist in high-density areas.

Noise and Behavior

Most people would agree that exposure to unwanted noise can produce

stress. We measure noise with the decibel (dB) scale. The threshold for

hearing is 0 dB. Normal conversation is about 40 dB, while the noise

around a busy street is about 70 dB, and a rock band might be 120 dB.

Long exposure to 90 dB can damage the eardrums. Sometimes noise is

defined as any sound of a high enough intensity to inflict physical harm;

but usually the definition includes the idea that noise is disturbing, either

psychologically or physically. Thus, lower levels of sound can also be

considered noise, especially when sounds are unpleasant and

uncontrollable. A study reported by Cohen and his colleagues (1986)

found that children living on the lower floors of a particular high-rise

apartment building had poorer hearing abilities and more problems with

reading than did children on the upper floors. The apartment building was

built near a freeway and the noise levels were blamed for the deficiencies

of the children living on the lower floors. Smith and Stansfeld (1986)

reported that noise also affects adults in daily life. For instance, people

living in a noisy neighborhood tended to make more mistakes in simple

tasks, forgot common things, and even dropped things more often. Noise

can be objectionable, but does it actually affect our social behavior? Yes,

according to a number of research studies. For instance, Mathews and

Canon (1975) found that people were less likely to help someone pick up

dropped books when a noise of 85 dB was present. The same results were

obtained whether the research took place in a laboratory situation or on a

street where a lawn mower provided the noise. Other studies have shown

that people living in noisy neighborhoods have fewer social interactions,

are more aggressive, and tend to dislike their neighbors more. Some

research suggests that stressful noise can have an influence on our

behavior even after we stop hearing it. In 1972 David Glass and Jerome

Singer placed people in a noisy environment and either told them that

they could control the noise (with a switch) or that they had no control

over the noise. The group with control did not often use it, but when both

groups were tested on a task afterward, the performance of the group who

had control was significantly better. Glass and Singer proposed that noise

is a source of stress and that uncontrollable stress leads to a feeling of

helplessness. Thus, those in the group with control could relieve

helplessness because of their belief that they could control its cause. This

suggests that the psychological interpretation of environmental stressors,

such as noise, crowding, or heat, plays an important role in determining

our reactions to them.

The U.S. EPA recommendations—adopted in 1974 and mirrored by the World Health Organization (WHO) (Berglund et al. 1999)—may be considered a truly “safe” level for protection against hearing loss. In contrast, the U.S. Occupational Safety and Health Administration’s 8-hr workplace regulation of 90 dBA may result in a 25% excess risk of hearing impairment among workers exposed over a working lifetime [National Institute of Occupational Safety and Health (NIOSH) 1998]. Other limits may be needed or appropriate for preventing additional health effects not described here or for emerging sources of noise (e.g., wind turbines) that are substantially different from historical noise sources. For example, the WHO recently adopted a set of health-based guidelines for nighttime noise exposure that are much lower than previously recommended levels (WHO 2009). Sources of noise. Primary sources of noise in the United States include road and rail traffic, air transportation, and occupational and industrial activities [National Academy of Engineering (NAE) 2010]. Additional individual-level exposures include amplified music, recreational activities (including concerts and sporting events), and firearms. Personal music player use appears to be common among adolescents (Kim et al. 2009; Vogel et al. 2011) and may involve potentially harmful sound levels (Breinbauer et al. 2012). Exposures from recreational activities and music are not “noise” in the sense of being unwanted sound, but adverse health effects are possible even from desirable sounds.

Prevalence of Harmful Noise Exposure

Data on the prevalence of noise exposures in the United States are dated and inadequate. The most recent national surveys of community and occupational noise exposures occurred in the early 1980s (NIOSH 1988; Simpson and Bruce 1981). Current estimates of workers exposed to “hazardous” levels of workplace noise (an 8-hr LEQ of ≥ 85 dBA) range from 22 to 30 million (NIOSH 2001; Tak et al. 2009). This wide range in estimates for the working population, which is more closely tracked than the general public, should give some indication as to the tremendous uncertainty in community estimates. The limited data available suggest that a substantial portion of the U.S. population may be at risk of noise-related health effects and that modern 24-hr societies are increasingly encroaching on “quiet” periods (e.g., night). An annual level of 55- to 60-dBA LDN may increase risk of hypertension (van Kempen and Babisch 2012). In 1981, Simpson and Bruce (1981)estimated that at least 92.4 million people (46.2% of the U.S. population) were exposed at or above this level. Applying the 1981 U.S. EPA estimate of exposure prevalence to the current U.S. population (315 million in March 2013) ( U.S. Census Bureau 2010), and assuming noise levels have not changed since then, we estimate that at least 145.5 million people were at potential risk of hypertension due to noise in 2013. Lower levels (e.g., 50–55 dBA, to which a larger fraction of the population is exposed) may increase risk of myocardial infarction (Willich et al. 2006). Recent studies of individuals’ noise exposures (Flamme et al. 2012) indicate that a substantial fraction of U.S. adults may be exposed to noise levels above the U.S. EPA 70-dBA LEQ

(24) limit. Neitzel et al. (2012) sampled > 4,500 adults in New York City and estimated that 9 of 10 exceeded the recommended U.S. EPA limit. The Neitzel et al. (2012) study is the most comprehensive quantitative estimate of annual noise exposures in a large sample of U.S. residents in decades, and it represents a basis for developing contemporary estimates of urban U.S. noise exposures. There are 16 metropolitan statistical areas in the United States with a population of > 4 million for which the New York City estimates might be considered representative. These areas comprised a total population of 80,621,123 in 2012 (U.S. Census Bureau 2010), or 25.6% of the U.S. population. By applying the New York City exposure prevalence estimates ofNeitzel et al. (2012) to these 16 largest urban agglomerations, we estimate that at least 72.6 million urban U.S. residents were exposed to annual LEQ(24) levels of > 70 dBA in 2010. By comparison, the U.S. EPA estimated in 1981

that 66 million people, or 33% of the U.S. population (not just urban dwellers), were exposed above the recommended limit (Simpson and Bruce 1981). Applying the 1981 U.S. EPA estimate to 2013 census data, and again assuming no change in noise levels over that time, we estimate that 104 million individuals had annual LEQ(24) levels of > 70 dBA in 2013 and were at risk of NIHL and possibly other noise-related health effects. Unfortunately, given the lack of assessment of noise exposure in health surveillance programs in the United States, it is difficult to evaluate these estimated health impacts against observed health effects, and for some health effects metrics other than the LEQ (24) (e.g., the LDN) are likely more appropriate.