Identifying and managing the periodontal
pathogens that affect cardiovascular disease for
health care professionals.
This research is aimed at oral health care providers to
identify the periodontal pathogens that are associated
with cardiovascular disease (CVD) and periodontal
disease. So that periodontal pathogens can be identified
and managed to prevent succession of systemic
Identifying the association between periodontal
disease and CVD is significant to public health (Hujoel,
Drangsholt & Spiekerman, 2000) as CVD accounts for
29% of deaths worldwide (Kim & Amar, 2006) and still
represents the major cause of death in industrialised
countries (Spahr et al, 2005).
The source of chronic inflammation is associated with
an increase in CVD; in retro-spec periodontal disease is
a possible trigger of this chronic inflammation (Spahr
et al, 2005).
“Do periodontal pathogens affect cardiovascular
My research plan will be a survey and in-vitro testing using quantitative methods. This
approach is appropriate because it deals with the numerical measurements required to
ascertain the affects of periodontal pathogens on CVD.
This is the preferred methodology because it aims to test the existing hypotheses, and
to identify the numerical difference’s that effect’s each group.
The sample group will consist of 300 participants who have
been previously affected by cardiovascular disease from
within the north island.
The instruments chosen for this research plan are a self-report
questionnaire sent via mail and in-vitro testing:
1. The questionnaire will be multi-choice questions, sent via mail,
and will be prefaced with a cover letter outlining the purpose
and nature of the study.
1. For the in-vitro testing a sample of calculus or plaque will be
taken via scaling of the tooth surface adjacent to the gingival
margin and submitted for laboratory analysis (Polit & Beck,
2004). The analysis will measure the microbiologic levels of the
The data collection from the in-vitro testing will
require trained professionals or trained assistants to
accurately take samples from the individual
participants (Brinkerhoff et al, n.d.).
The data from the questionnaire will be quantified
from the original qualitative data to quantitative data
for statistical analysis (Polit & Beck, 2008).
The answers from the qualitative data will be
transformed, through the process of coding, into
The theory of probability statistical analysis will be used to
interpret the quantitative data and discover the underlying
causes, patterns, relationships and trends.
The coded variables will be assigned locations within a data
file - a codebook is used for documentation of the assigned
locations and lists the codes and attributes accordingly.
SPSS or micro-case will be used for transferring of the data
for statistical analysis
Univariate analysis will be used to describe the single
variable of periodontal pathogen levels, specifically the
attributes it composes. Representation of the univariate
data will be reported for all individual cases according to
their attribute in terms of the periodontal pathogen levels
The expected outcome of this research is for the
identification of the periodontal pathogens causing an
effect on cardiovascular disease. Thus, highlighting for
dental professionals the need for oral hygiene
prevention in this area. In addition, increasing
awareness and attention to the link between
periodontal disease and cardiovascular disease.
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Role of Periodontal Bacteria and Importance of Total Pathogen Burden in the Coronary Event and Periodontal Disease (CORODONT)
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