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PREVALENCE
Sociologyindex, Sociology Books 2011, Prevalence, Incidence, epidemiology
In epidemiology, the term prevalence
tells us about the number of particular events in the community. AIDS for example may be
very prevalent (the total number with this syndrome) but the incidence (new cases) is
going down each year. The prevalence of a disease in a statistical population
is defined as the total number of cases of the disease in the population at a given time,
or the total number of cases in the population, divided by the number of individuals in
the population.
"Prevalence" means "extent", but in scientific English it
means "proportion" which is expressed as a percentage. Prevalence is distinct
from incidence.
Prevalence is a measurement of all individuals affected by the disease within a
particular period of time.
Incidence is a measurement of the number of new individuals who contract a disease
during a particular period of time.
Lifetime prevalence is the number of individuals in a statistical population that
at some point in their life have experienced a disorder, compared to the total number of
individuals. A 12-month prevalence is used in conjunction with lifetime prevalence.
Point prevalence, the prevalence of disorder at a more specific point in time.
Point prevalence means the prevalence, or number of cases, a snapshot of
cases, at a certain point in time. The point in time could be any length, from an
hour to a month. It is important to note that while point prevalence reflects the
magnitude of health events; it may not be useful in finding causes for disease.
Incidence is a contrasting term to
prevalence telling us the frequency of occurrence of some event during a particular time
period. For instance, there were 581 criminal homicides in 1997, or the rate of crime for
one year is higher or lower than for the previous year.
Incidence is the number of new cases of a condition, symptom, or death that arise
during a specific period of time.. Incidence is often expressed as a percentage of a
population (for example, 25% of Americans were diagnosed with the flu in 2002). Incidence
shows the likelihood that a person in that population will be affected by the condition.
Incidence proportion and cumulative incidence are the number of new cases within a
specified time period divided by the size of the population initially at risk. The
incidence rate is the number of new cases per unit of person-time at risk.
Cumulative incidence is the incidence calculated using a period of time during which
all of the individuals in the population are considered to be at risk for the outcome. It
is sometimes referred to as the incidence proportion.
Examples of prevalence studies:
How common is anorexia nervosa? A prevalence study
AH Crisp, RL Palmer and RS Kalucy
The British Journal of Psychiatry 128: 549-554 (1976) © 1976 The Royal College of
Psychiatrists
During 1972-74 nine populations of schoolgirls were surveyed in respect of the occurrence
of anorexia nervosa. As well as the current school year, previous years (going back
variously 3-6 years) were also carefully studied within seven of the schools. Anorexia
nervosa was only identified as present or having been present if the diagnosis was
unequivocal: for instance, seemingly evident and severe cases which could not be traced
were excluded. The condition in severe form was found to be relatively common in the
independent sector of education, probably implying a social class factor. In all such
schools, the prevalence was one severe case in approximately every 200 girls. In those
aged 16 and over it amounted to one severe case in about every 100 girls. Overall, these
schools encountered one 'new' severe case in every 250 pupils aged 16 years and over. The
condition is likely to be even more common than this study allows because of the stringent
limits set here on inclusion of cases and the age-bands studied. It is concluded that
severe anorexia nervosa is a common condition and is probably getting more common.
Misuse of "study drugs:" prevalence, consequences, and implications
for policy
Steve Sussman, Mary Ann Pentz, Donna Spruijt-Metz and Toby Miller
Substance Abuse Treatment, Prevention, and Policy 2006, 1:15doi:10.1186/1747-597X-1-15
Abstract: Background: Non-medical/illegal use of prescription stimulants popularly have
been referred to as "study drugs". This paper discusses the current prevalence
and consequences of misuse of these drugs and implications of this information for drug
policy.
Results: Study drugs are being misused annually by approximately 4% of older teens and
emerging adults. Yet, there are numerous consequences of misuse of prescription stimulants
including addiction, negative reactions to high dosages, and medical complications. Policy
implications include continuing to limit access to study drugs, finding more safe
prescription drug alternatives, interdiction, and public education.
Conclusion: Much more work is needed on prescription stimulant misuse assessment,
identifying the extent of the social and economic costs of misuse, monitoring and reducing
access, and developing prevention and cessation education efforts.
Does Religion Increase the Prevalence and Incidence of Obesity and Severe
Obesity in Adulthood?
Clark, Krista. and Ferraro, Kenneth
Paper presented at the annual meeting of the American Sociological Association
Abstract: Previous research reveals that religion in America is related to variations in
body weight, but the reasons for this association remain unclear. This paper examines the
relationships between religion and both obesity and severe obesity, which have increased
in prevalence in the United States over the past two decades. Using longitudinal data from
a national sample of adults, this study prospectively examines whether dimensions of
religious life are associated with the development of obesity during eight years of
follow-up. Four dimensions of religiosity (attendance, salience, media practice, and
consolation) and religious affiliation are examined. Logistic regression analyses reveal
that high levels of religious media practice and affiliation with a Baptist denomination
increased the risk of obesity and severe obesity. Although religious media practice was
associated with greater risk of obesity, attendance at religious services did not
influence the prevalence or incidence of obesity or severe obesity.
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