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Preventive Dentistry Teaching & Research Section of Preventive Dentistry
54

Preventive Dentistry Teaching & Research Section of Preventive Dentistry.

Dec 26, 2015

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Page 1: Preventive Dentistry Teaching & Research Section of Preventive Dentistry.

Preventive Dentistry

Teaching & Research Section of Preventive Dentistry

Page 2: Preventive Dentistry Teaching & Research Section of Preventive Dentistry.

Section 4

Epidemiology of Periodontal Disease

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Index for periodontal condition OHI-S PLI GI CPI

Periodontal disease

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6 1 6

6 (L)

1 6 (L)

( 1 ) OHI-S ( DI-S )

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( 1 ) OHI-S (DI-S & CI-S)

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6 1 4

4 1

6

Ramfjord index teeth

( 2 ) Turesky Modification of the Quigley Hein Index

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Plaque discoloration

( 2 ) Turesky Modification of the Quigley Hein Index

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0=No plaque

1=Slight flecks at the cervical margin

2=thin continuous band (≤1 mm) at cervical margin

( 2 ) Turesky Modification of the Quigley Hein Index

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3 = A band of plaque >1 mm but < 1/3 of the area

4 = covering 1/3 - 2/3 of the area

5 = covering ≥ 2/3 of the area

( 2 ) Turesky Modification of the Quigley Hein Index

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( 3 ) GI

Löe and Silness Index

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( 3 ) GI ( Löe and Silness )

0 No inflammation. Normal gingivae

1Mild inflammation – slight change in colour, slight edema. No bleeding on probing.

2Moderate inflammation – redness, edema and glazing. Bleeding on probing.

3Severe inflammation – marked redness, edema. Ulceration. Tendency to spontaneous bleeding

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CPI probeGingival bleedingSubgingival calculusPD

( 4 ) CPI

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( 4 ) CPI

17 16 11 26 27

47 46 31 36 37

16 11 26

46 31 36

≥20 years old 15 ~ 20 years old

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0 = Healthy1 = Bleeding observed2 = Calculus detected, all the black band

visible3 = Pocket 4-5 mm

( 4 ) CPI

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4 = Pocket ≥6 mm (black band not visible)X = Excluded sextant ( <two teeth )9 = not recorded

( 4 ) CPI

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( 4 ) CPI

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( 4 ) CPI

4 0 2

2 2 x

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15 years old

Feature of distribition

Sextant Grade

0.0 ~ 1.5

1.6 ~ 2.5

2.6 ~ 3.5

3.6 ~ 4.5

4.6 ~ 6.0

Very low

Low

Middle

High

Very high

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Feature of distribition

1 Area

Developing Vs Developed countriesRural Vs Urban

2 time

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Influential factors

3 population

age

gender male > female race

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oral hygiene smoking ( duration 、 frequency 、 typ

e )nutrition systemic diseases

Related factors

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Section 5

Epidemiology of Other

Oral Diseases

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Other oral diseases epidemiology

Oral cancerDental fluorosisCleft lip and palateDentofacial anomaliesOral mucosal diseases

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Oral cancer

China 0.7 , Thailand 4.6 , India 12.6 /100,000

District: one of the most common tumor in east south Asia

Time, ageGender: male > femaleRace

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Oral cancer

DistrictTime, ageGender: male > femaleRace

口腔癌

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Dental fluorosis

Dean’s index

Based on the 2 most severely affected teeth (record the status if they are the same and record the less severe if they are not)

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Dental fluorosis

0 Normal

0.5 Questionable (few flecks, occasional spots)

1 Very mild (opacities<1/4 of surface)

2 Mild (opacities<1/2 of surface)

3 Moderate (may have brown stain)

4Severe (pitting, hypoplasis and brown stain)

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Dental fluorosis

Fci = ( n×W ) / N

Fci= 〔 (0.5× Questionable)+(1× Very mild )+…+(4× Severe )×100 %〕 / N

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Dental fluorosis

Public health significance

0-0.4 Negative

0.4-0.6 Borderline

0.6-1.0 Slight

1-2 Medium

2-3 Marked

3-4 Very marked

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Dental fluorosis

Feature of distribution

area urban, ruralage dentition

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Cleft lip and palate

One Cleft lip or palate case per 500 ~ 700 infants

factors

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Cleft lip and palate

area urban, ruralgender

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Section 6

Oral Health Survey & Evaluation

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The survey and evaluation of oral health

Purpose Item IndexMethodSample sizeError and prevention

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Item

General item

Oral health assessment

Questionnaire

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Questionnaire data collection

Collect information that cannot be observed.

knowledge

attitude practice

belief

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Index

Caries----

Periodontal diseases----

Dental fluorosis----

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Methods

Census (普查) ----a complete enumeration of the umits to be studied (mass examination)

: no sampling error

: not practical, time consuming

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Sampling

--measurements on part of the population

--less resource demanding

--quicker to complete

--more cost-efficient

--detail examination possible

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Sampling Methods

Most important issue is whether the sample can adequately represent the bigger population

Simple random sampling 单纯随机抽样 Systematic sampling 系统抽样 Stratified sampling 分层抽样 Cluster sampling 整群抽样

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Simple random sampling

sample

population

Draw lots, throw a die Random number table Computer generated random number

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Systematic sampling

In a list select every u unit in a list starting from a random number ( from 1 to uth)

U+k U+2kU

N1

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Stratified sampling

Subdivide the population into strata and draw sample from each stratum independently

Common strata: age, gender, districts, etc

sample sample

population

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Cluster sampling

Subdivide the population into several clusters (blocks of units)

All elements in these selected cluster are studied

population

cluster cluster cluster

sample

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Sampling Methods

???

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Multi-stage sampling

Sampling can take place in stages by repeating or combining the above sampling

More efficient for large scale surveys

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Pilot survey

Include only one or two age groups to collect the minimum amount of data

12 years +one other age group

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OH survey ----pathfinder

to include the most important population subgroups

A stratified cluster sampling techniqueVariations in level, severity and need

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Index age groups

5 yrs children ( primary teeth)12 yrs children ( permanent ) 15 yrs adolescents35-44 yrs adults65-74 yrs elders

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Sample size

N=K×Q/PN subjects, p proporationQ=1 - P

KType II error

400 10%

178 15%

100 20%

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Error and bias

Selection bias (选择性偏倚)

Unresponse bias (无应答偏倚)

Information bias (信息偏倚)

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Information bias

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Information bias

K (Kappa)

reliability

< 0.4 poor

0.41~0.60 medium

0.61~0.80 good

0.81~1.0 excellence

Calibration ( 标准一致性试验)

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Thankst