Literature DB >> 36142097

A Longitudinal Study of Chronic Periodontitis in Two Cohorts of Community-Dwelling Elderly Australians.

Xiangqun Ju1, Jane Harford1,2, Liana Luzzi1, Gloria Mejia1, Lisa M Jamieson1.   

Abstract

Background: The study aimed to estimate and compare the incidence and progression of chronic periodontitis among two generations of older Australian adults.
Methods: Data were from two population-based cohort studies of Australian older adults aged 60+ years South Australian Dental Longitudinal Studies (SADLS), SADLS I (1991-1992) and SADLS II (2013-2014). American Academy of Periodontology/the U.S. Centres for Disease Control and Prevention (CDC/AAP), and the 2018 European Federation of Periodontology classification (EFP/AAP) case definitions were used to define and calculate the incidence and progression of chronic periodontitis. Multivariable Poisson regression models were used to estimate incidence risk ratios (IRRs) of periodontitis.
Results: A total 567 and 201 dentate respondents had periodontal exams in SADLS I and II, respectively. The incidence rate was greater in SADLS II than in SADLS I, approximately 200 vs. 100/1000 person years, respectively. Current smokers had more than two times higher IRRs, 2.38 (1.30-4.34) and 2.30 (1.24-4.26), than their non-smoking counterparts in the previous generation under the CDC/AAP and EFP/AAP, respectively. Conclusions: The most recent generation of older adults has greater incidence and progression of periodontitis than the previous generation. Being a current tobacco smoker was a significant risk factor for both the incidence and progression of periodontitis.

Entities:  

Keywords:  clinical attachment level (CAL); gingival recession (GR); incidence; periodontitis; probing pocket depth (PPD); tooth loss

Mesh:

Year:  2022        PMID: 36142097      PMCID: PMC9516963          DOI: 10.3390/ijerph191811824

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   4.614


1. Introduction

Chronic periodontitis is highly prevalent in adults and older populations worldwide. According to the Global Burden of Disease 2015, more than 7% of the world’s population, approximately 540 million people, have severe chronic periodontitis [1]. Chronic periodontitis is characterised by gingival recession and/or periodontal pocket formation due to the destruction of periodontal tissues and sometimes alveolar bone [2,3]. Although tooth loss has decreased in recent decades [4], chronic periodontitis continues to be one of the major causes of tooth loss. It is estimated that 30% to 35% of all tooth extractions are attributed to periodontitis [1]. The number of teeth lost, as well as tooth loss patterns and type, impact masticatory function [5]. This, in turn, may lead to decreased intake of nutrients which impact the immune system. Periodontitis is associated with systemic diseases, such as diabetes mellitus [6], cardiovascular disease, respiratory disease, renal disease, obesity, osteoporosis and cancer [7,8]. Evidence suggests that contemporary older adults, by virtue of increased life expectancy and retention of teeth, are susceptible to chronic periodontitis [4,9]. In Australia, chronic periodontitis affected more than 60% and 70% of older Australians in national oral health surveys conducted in 2004–2006 and 2017–2018, respectively [10,11]. It is necessary to estimate the incidence and progression chronic periodontitis to understand, at a population level, how disease patterns change over time, and the risk factors. However, longitudinal data on the incidence and progression of periodontitis are scarce. The aim of this study was to compare the incidence and progression of chronic periodontitis among two generations of the elderly Australian adults using longitudinal data. We hypothesized that the incidence and progression of periodontitis would be higher among the most recent older generation than the previous generation.

2. Methods

This study is reported according to STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) guidelines.

2.1. Study Design, Setting and Participants

This cohort study draws data from two population-based longitudinal surveys: (1) the South Australian Dental Longitudinal Study (SADLSI) with baseline information gathered in 1991–1992 [12] and (2) Intergenerational change in oral health in Australia (SADLS II) with baseline data in 2013–2014. Both studies had a two-year follow-up (in 1993–1994 and 2015–2016, respectively). Study participants represent the generation of older Australians born before 1931 (SADLS I) and 1953 (SADLS II), which hereafter will be named as previous and recent generations, respectively. Stratified random samples of non-institutionalised people aged 60 years or over, residing in the capital city of Adelaide and the regional city of Mount Gambier were selected from the South Australian State Electoral Database in 1991 and 2013, respectively. All participants provided signed informed consent.

2.2. Data Collection

Data collection included an interview and oral clinical examination. A face-to-face questionnaire interview, including social demographic characteristics, general health, and oral health-related behaviours, was conducted by a trained interviewer. A standardised oral epidemiological examination was conducted by registered and calibrated dentists (including four and three dentists in SADLS I and II, respectively) for dentate participants. All teeth present in the mouth (including third molars) were assessed based on the U.S National Institute of Dental Research survey of employed adults and seniors [13]. The periodontal assessment included gingival recession (GR) and probing pocket depth (PPD) measurements at mesio-buccal, mid-buccal, and disto-lingual sites of each tooth present. GR measurements were recorded as positive when recession was present, and a negative value for GR was recorded where the gingival margin was located more than 1 mm coronally to the cementoenamel junction. Clinical attachment level (CAL) was computed during data analysis through the sum of GR and PPD. Inter-examiner reliability was assessed through replicate examinations of 28 and 29 Australian older adults in SADLS I [12] and SADLS II, respectively. Intra-class correlation coefficients for the periodontal measurements were 0.46 and 0.73 for mean PPD, 0.92 and 0.90 for mean GR and 0.84 and 0.75 for mean CAL in SADLS I [12] and SADLS II, respectively, indicating medium-to-excellent reliability.

2.3. Outcome Variables

The outcome variable was combined incidence or progression of chronic periodontitis (Yes vs. No) at two-year follow-up, to measure declining periodontal health (the worsening of disease). Chronic periodontitis was assessed based on two periodontal case definitions: (1) The American Association of Periodontology and the U.S. Centres for Disease Control and Prevention case definition (AAP/CDC) [14], and (2) The 2018 European Federation of Periodontology/American Academy of Periodontology classification (EFP/AAP) [2] to describe the degree of chronic periodontitis in the two health surveys (Table 1).
Table 1

Different periodontal disease case definitions.

AAP/CDC EFP/AAP
The American Association of Periodontology and the U.S. Centres for Disease Control and Prevention Case Definition [14]The 2018 European Federation of Periodontology/American Academy of Periodontology Classification [2]
None/mildMild periodontitis is the presence of either two sites between adjacent teeth where CAL < 4 mm and PD < 5 mm.Stage IPeriodontitis severity stage I is the presence of each tooth where 1 mm ≤ CAL ≤ 2 mm; no tooth loss due to periodontitis.
ModerateModerate periodontitis is the presence of either two sites between adjacent teeth where 4 mm ≤ CAL ≤ 6mm or at least two such sites have PD ≥ 5 mm.Stage IIPeriodontitis severity stage II is the presence of each tooth where 3 mm ≤ CAL ≤ 4mm; no tooth loss due to periodontitis.
SevereSevere periodontitis is at least two sites between adjacent teeth where CAL ≥ 6 mm and there is at least one site PPD ≥ 5 mm.Stage III–IVPeriodontitis severity stage III-IV is the presence of each tooth where CAL ≥ 5 mm or there is at last one site PPD ≥ 6 mm; or had tooth loss due to periodontitis of ≥4 teeth.
The incidence of periodontitis (new cases) was defined from the baseline to two-year follow-up in the two studies as from no indication of periodontitis (‘No disease’) to some indication of periodontitis, such as: (1) from none to mild, moderate or severe periodontitis under the AAP/CDC case definition; and (2) from No/gingivitis to stage I, Stage II or Stage III–IV under the EFP/AAP case definition. The progression of periodontitis was defined from baseline to two-year follow-up in the two studies as: (1) from mild to moderate or severe, or from moderate to severe to tooth loss due to periodontitis under AAP/CDC case definition; and (2) from Stage I to Stage II, III or IV to tooth loss due to periodontitis under the EFP/AAP case definition.

2.4. Covariates

Covariates included baseline sociodemographic characteristics, oral health and related behaviours and general health. Sociodemographic characteristics were ‘Age’, categorised into six groups (60–64, 65–69, 70–74, 75–79, 80–84, or ≥85 years); ‘Sex’ (Male vs. Female); ‘Marital status’ (‘Married/De-facto’ vs. ‘Single’); ‘Born in Australia’ (Yes vs. No); ‘Highest educational attainment’ (‘Secondary school’, ‘Trade to Diploma degree’ or ‘Tertiary’); and ‘Household income’ (‘Low (AUD 50,000)’). Health behaviours included ‘Tobacco smoking status’ (‘Current smoker’, ‘Used to smoke’ or ‘Never smoked’); ‘Alcohol drinking’ (‘Yes’ vs. ‘No’); and ‘Dental insurance statuses’ (‘Had’ vs. ‘No’). Oral health-related behaviours included frequency of teeth brushing, last dental visit, and usual reason for dental visit, and were dichotomised into ‘≥twice/day’ vs. ‘12 months’; and ‘Check-up’ vs. ‘Problem’, respectively. General health was measured by self-reported histories of 10 chronic diseases, which included asthma, arthritis, cancer or malignancy, cataracts, chronic obstructive pulmonary disease (combining chronic bronchitis and/or emphysema (COPD)), diabetes, hypertension or high blood pressure, heart condition or heart attack, stroke or a small stroke (TIA), or/and osteoporosis or hip fracture, and was dichotomised into ‘Yes’ or ‘No’.

2.5. Statistical Analyses

Only the respondents who had the periodontal assessment at baseline and repeated at two-year follow-up were included in the analysis. Basic descriptive analyses were conducted to ascertain frequencies of the sample characteristics, and incidence rate of periodontitis. Multivariable Possion regression models with robust standard error estimation were generated. Unadjusted and adjusted incidence rate ratios (IRRs) and 95% CI were calculated for incidence and progression of periodontitis. Model 1 was adjusted for social demographic characteristics; Model 2 was model 1 plus adjustment for dental health related behaviours; and Model 3 was Model 2 plus adjustments for general health characteristics. Data files were managed and summary variables computed using SAS software version 9.4 (SAS 9.4, SAS Institute Inc., Cary, NC, USA).

3. Results

A total of 1650 and 810 dentate participants were interviewed in SADLS I and SADLSII, respectively. Of those, 567 and 201 persons, respectively, had periodontal exams at baseline and two-year follow-up and were included the final data analysis. At baseline, the average age was 70.6 (SD = 7.26) years in SADLS I and 69.4 (SD = 6.5) years in SADLS II. The majority of baseline characteristics were similar between those who were lost to follow-up and those who were not (see Supplementary Table S1), except for age and dental visiting status in SADLS I, and country of birth in SADLS II. A higher prevalence of those were lost to follow-up had diabetes and chronic diseases in SADLS I (see Supplementary Table S2), No statistically significant differences were noted between those followed up and lost to follow-up in SADLS II. Table 2 presents the baseline sample characterisers of SADLS I and II participants. The proportion of age groups, gender, marital status and country of birth were similar cross the two cohorts, with more than half in the younger age group (60–69 years) and male, and approximately one quarter being ‘Single’ and ‘Born overseas’. The proportion of participants with the highest educational level (Tertiary) was higher, but the middle education group (Trade/diploma) was higher in SADLS I than in SADLS II, with the difference being around ten percent. The proportion with high household income and having dental insurance were lower in SADLS I than in SADLS II, from around one-fourth to more than one-third, and from more than forty to sixty percent, respectively. Both alcohol consumption and the proportion of participants reporting they had never smoked were higher (approximately 25 percent) in SADLS I than in SADLS II. Dental behaviours (oral hygiene and dental visiting) was similar between the two cohorts.
Table 2

Sample characterisers of two cohort of older Australian adults at baseline.

SADLS I (1991–1992)(n = 567)SADLS II (2013–2014)(n = 201)
N95% CIN95% CI
Sample demographic characteristics
Age groups
60–64157 27.7 (24.0–31.4) 54 27.4 (21.1–33.7)
65–69153 27.0 (23.3–30.6) 6533.0 (26.4–39.6)
70–7494 16.6 (13.5–19.6) 41 20.8 (15.1–26.5)
75–79101 17.8 (14.7–21.0) 21 10.7 (6.3–15.0)
80–8449 8.6 (6.3–11.0) 12 6.1 (2.7–9.5)
≥8513 2.3 (1.1–3.5) 4 2.0 (0.0–4.0)
Sex
Female227 40.0 (36.0–44.1) 9146.0 (39.0–53.0)
Male340 60.0 (55.9–64.0) 10754.0 (47.0–61.0)
Married status
Married/De-facto42074.1 (70.5–77.7)14875.1 (69.0–81.2)
Single14725.9 (22.3–29.5)4924.8 (18.8–31.0)
Born in Australia
Yes387 68.4 (64.5–72.2) 143 74.5 (68.3–80.7)
No179 31.6 (27.8–35.5) 49 25.5 (19.3–31.7)
Education level
Tertiary193 34.1 (30.2–38.1) 36 18.3 (12.8–23.7)
Trade/diploma degree113 20.0 (16.7–23.3) 61 31.0 (24.5–37.5)
Secondary260 45.9 (41.8–50.1) 100 50.8 (43.7–57.8)
Household income
High13725.6 (21.9–29.3)6437.4 (30.1–44.8)
Medium177 33.0 (29.0–37.0) 4928.7 (21.8–35.5)
Low222 41.4 (37.2–45.6) 5833.9 (26.8–41.1)
Oral health-related behaviours
Dental insured
Had244 43.4 (39.3–47.5) 126 63.3 (56.6–70.1)
No318 56.6 (52.5–60.7) 73 36.7 (29.9–43.4)
Smoke status
Never smoked25244.9 (40.8–49.0)116 59.2 (52.2–66.1)
Used smoker245 43.7 (39.6–47.8) 72 36.7 (29.9–43.5)
Current smoker64 11.4 (8.8–14.0) 8 4.1 (1.3–6.9)
Alcohol drinking
No136 24.0 (39.3–47.5) 36 18.3 (12.8–23.7)
Yes430 76.0 (72.4–79.5) 161 81.7 (76.3–87.2)
Dental behaviours
Oral hygiene (Tooth brushing)
At least twice/day361 63.7 (59.7–67.6) 138 69.3 (62.9–75.8)
Less than twice/day206 36.3 (32.4–40.3) 61 30.7 (24.2–37.1)
Last dental visiting
Less than 12 months360 63.7 (59.7–67.7) 139 70.2 (63.8–76.6)
More than 12 months205 36.3 (32.3–40.3) 59 29.8 (23.4–36.2)
Reasons for dental visiting
Check252 44.7 (40.7–48.8) 8946.1 (39.0–53.2)
Problem312 55.3 (51.2–59.4) 10453.9 (46.8–61.0)

Note: Difference statistically significant as denoted by non-over-lapping 95% confidence intervals (Bold).

Table 3 shows ten chronic diseases among Australian older adults in the two surveys. The proportion with diabetes, hypertension and osteoporosis was higher in SADLS II than in SADLS I, while the proportion with heart disease decreased by almost 55 percent.
Table 3

Chronic diseases of two cohort of Australian older adults at baseline.

General HealthSADLS I (1991–1992)(n = 567)SADLS II (2013–2014)(n = 201)
N95% CIN95% CI
Asthma
No525 92.6 (90.4–94.8) 165 86.8 (82.0–91.7)
Yes42 7.4 (5.2–9.6) 25 13.2 (8.3–18.0)
Arthritis
No28049.5 (45.3–53.6)9751.9 (44.6–59.1)
Yes28650.5 (46.4–54.7)9048.1 (40.9–55.4)
Cancer
No502 88.8 (86.2–91.5) 159 84.6 (79.4–89.8)
Yes63 11.2 (8.5–13.8) 29 15.4 (10.2–20.6)
Cataracts
No472 83.2 (80.2–86.3) 147 80.3 (74.5–86.1)
Yes95 16.8 (13.7–19.8) 36 19.7 (13.9–25.5)
COPD
No505 89.2 (86.7–91.8) 167 90.8 (86.5–95.0)
Yes61 10.8 (8.2–13.3) 17 9.2 (5.0–13.5)
Diabetes
No542 95.6 (93.9–97.3) 161 85.2 (80.1–90.3)
Yes25 4.4 (2.7–6.1) 28 14.8 (9.7–19.9)
Hypertension
No365 64.4 (60.4–68.3) 9449.5 (42.3–56.6)
Yes202 35.6 (31.7–39.6) 9650.5 (43.4–57.7)
Heart diseases
No465 82.3 (79.1–85.5) 170 91.9 (87.9–95.9)
Yes100 17.7 (14.5–20.9) 15 8.1 (4.1–12.1)
Osteoporosis or hip fracture
No546 96.5 (94.4–98.0) 16889.8 (85.5–94.2)
Yes20 3.5 (2.0–5.1) 1910.2 (5.8–14.5)
Stroke
No52993.5 (91.4–95.5)182 97.3 (95.0–99.7)
Yes376.5 (4.5–8.6)5 2.7 (0.3–5.0)
Chronic diseases (At least one)
No123 21.7 (18.3–25.1) 29 14.7 (9.7–19.7)
Had444 78.3 (74.9–81.7) 168 85.3 (80.3–90.3)
Number of diseases
012321.7 (18.3–25.1)2914.7 (9.7–19.7)
116328.7 (25.0–32.5)6231.5 (24.9–38.0)
215126.6 (23.0–30.3)5326.9 (20.7–33.2)
37913.9 (11.1–16.8)3015.2 (10.2–20.3)
4346.0 (4.0–8.0)157.6 (3.9–11.4)
5101.8 (0.7–2.9)63.0 (0.6–5.5)
661.1 (0.2–1.9)21.0 (0.0–2.4)
710.2 (0.0–0.5)00.0 (0.0–0.0)

Note: Difference statistically significant as denoted by non-over-lapping 95% confidence intervals (Bold).

The mean number of teeth lost increased slightly at the two-year follow-up in both surveys, although there was a decrease of approximately 13 to 7 teeth across the two generations. The prevalence of severe periodontitis decreased with increasing tooth loss (see Supplementary Table S3), which implied the progression of periodontitis. Figure 1 depicts the rate of chronic periodontitis (incidence + progression) among Australian older adults across the 22-year study period. A similar trend was observed under the AAP/CDC and EFP/AAP case definitions: the incidence rate was highest in SADLS II (more than 210/per 1000 person-year) than in SADLS I (approximately 100/per 1000 person-year).
Figure 1

Incidence rate of chronic periodontitis among Australian adults in SADLS I and II under the AAP/CDC and EFP/CDC case definitions.

Table 4 shows the bivariate analysis of the incidence and progression of periodontitis across two generations under the two case definitions. Higher IRRs were observed among males, current and previous smokers, those with cataracts in SADLS I, and experience of stroke in SADLS II.
Table 4

Bivariate analysis of the incidence rate ratios (IRRs) of periodontitis under two case definition.

SADLS I (n = 567)SADLS II (n = 201)
CDC/AAPEFP/AAPCDC/AAPEFP/AAP
IRR (95% CI)IRR (95% CI)IRR (95% CI)IRR (95% CI)
Sample demographic characteristics
Age groups
60–64refrefrefref
65–690.87 (0.57–1.35)1.19 (0.76–1.87)1.01 (0.69–1.49)1.22 (0.79–1.90)
70–740.98 (0.61–1.59)1.22 (0.74–2.02)0.68 (0.40–1.17)0.92 (0.53–1.60)
75–791.01 (0.63–1.60)1.31 (0.80–2.12)0.98 (0.57–1.69)1.35 (0.78–2.40)
80–840.87 (0.46–1.63)1.09 (0.56–2.07)0.90 (0.43–1.86)1.13 (0.53–2.39)
≥851.37 (0.57–3.28)1.27 (0.44–3.66)0.54 (0.10–3.02)0.68 (0.12–3.82)
Sex
Femalerefrefrefref
Male 1.70 (1.19–2.40) 1.44 (1.02–2.05) 0.87 (0.63–1.20)0.87 (0.62–1.21)
Married status
Married/De-factorefrefrefref
Single0.79 (0.54–1.17)0.95 (0.65–1.37)0.80 (0.53–1.21)0.91 (0.61–1.37)
Born in Australia
Yesrefrefrefref
No1.33 (0.97–1.84)1.34 (0.98–1.88)1.01 (0.70–1.45)1.07 (0.74–1.55)
Education level
Tertiaryrefrefrefref
Trade/diploma degree0.92 (0.58–1.47)0.73 (0.43–1.23)0.96 (0.62–1.51)1.00 (0.64–1.56)
Secondary1.06 (0.75–1.51)1.12 (0.79–1.60)0.88 (0.58–1.35)0.78 (0.50–1.20)
Household income
Highrefrefrefref
Medium1.14 (0.79–1.64)1.11 (0.76–1.62)0.93 (0.60–1.44)1.04 (0.66–1.65)
Low1.00 (0.66–1.51)1.08 (0.72–1.62)0.87 (0.57–1.34)0.94 (0.60–1.47)
Oral health and related behaviours
Dental insured
Hadrefrefrefref
No1.07 (0.78–1.48)1.17 (0.84–1.62)1.05 (0.75–1.45)0.92 (0.65–1.31)
Smoke status
Never smokedrefrefrefref
Used smoker 1.71 (1.19–2.46) 1.54 (1.06–2.22) 0.83 (0.58–1.18)0.74 (0.50–1.08)
Current smoker 2.18 (1.39–3.44) 1.94 (1.21–3.10) 1.23 (0.66–2.27)0.98 (0.46–2.09)
Alcohol drinking
Norefrefrefref
Yes1.44 (0.95–2.18)1.19 (0.80–1.76)1.05 (0.68–1.60)0.99 (0.64–1.51)
Oral hygiene (Tooth brushing)
At least twice/dayrefrefrefref
Less than twice/day1.19 (0.86–1.63)1.10 (0.79–1.52)1.22 (0.89–1.68)1.25 (0.89–1.73)
Last dental visiting
Less than 12 monthsrefrefrefref
More than 12 months0.84 (0.60–1.18)0.84 (0.60–1.18)1.13 (0.81–1.57)0.91 (0.63–1.32)
Reasons for dental visiting
Checkrefrefrefref
Problem1.01 (0.74–1.39)1.09 (0.79–1.51)0.93 (0.67–1.29)0.93 (0.66–1.31)
General health
Asthma
Norefrefrefref
Yes1.29 (0.76–2.22)1.21 (0.69–2.14)0.94 (0.57–1.57)1.12 (0.69–1.81)
Arthritis
Norefrefrefref
Yes0.96 (0.70–1.33)1.11 (0.8–1.54)0.98 (0.71–1.35)0.88 (0.62–1.23)
Cancer
Norefrefrefref
Yes1.26 (0.80–2.00)1.33 (0.83–2.08)1.22 (0.83–1.82)1.20 (0.79–1.83)
Cataracts
Norefrefrefref
Yes 1.49 (1.03–2.16) 1.00 (0.64–1.56)1.02 (0.68–1.54)1.02 (0.66–1.57)
COPD
Norefrefrefref
Yes0.77 (0.43–1.40)0.98 (0.58–1.68)1.09 (0.64–1.86)1.16 (0.68–1.98)
Diabetes
Norefrefrefref
Yes1.59 (0.88–2.89)1.00 (0.46–2.24)1.61 (0.87–2.96) 2.09 (1.01–4.33)
Hypertension
Norefrefrefref
Yes0.94 (0.67–1.32)0.92 (0.64–1.30)0.83 (0.60–1.14)0.91 (0.65–1.27)
Heart disease
Norefrefrefref
Yes1.39 (0.96–2.02)1.34 (0.91–1.97)0.60 (0.25–1.40)0.80 (0.38–1.67)
Osteoporosis or hip fracture
Norefrefrefref
Yes0.24 (0.03–1.60)0.24 (0.04–1.66)1.25 (0.78–1.98)1.01 (0.58–1.76)
Stroke
Norefrefrefref
Yes1.50 (0.89–2.53)0.95 (0.48–1.90) 1.87 (1.17–2.98) 1.97 (1.23–3.15)
Chronic diseases (At least one)
Norefrefrefref
Had1.07 (0.72–1.64)0.77 (0.53–1.11)1.06 (0.67–1.70)1.24 (0.73–2.11)

Note: Bold used for the statistically significant.

After adjusting for sociodemographic characteristics, males had 1.5 times higher IRRs than female older Australian adults; after adjusting for all covariates, current smokers had 2 times higher IRRs than their non-smoking counterparts in SADLS I under the two case definitions (Table S4). There were no significant differences observed in SADLS II, except the middle age group (70–74 years), which presented lower IRRs (0.3) than the youngest age group (60–64 years) (Table S5).

4. Discussion

To the best of our knowledge, this is the first study to examine the incidence and progression of periodontitis among two older generations in Australia. Our findings indicated that the incidence and progression of periodontitis was higher in the most recent generation than in the previous generation, which supported our hypothesis. Incidence and progression of periodontitis was associated with tobacco smoking, especially in the older generation. Higher incidence and progression of periodontitis higher among the most recent generation, which is likely attributed to the greater number of teeth retained and possibly the higher prevalence of periodontitis-associated chronic diseases [8], such as diabetes [6] and hypertension [15]. Given that periodontal disease is influenced by social determinants, the lower proportion of participants in the higher education level (Tertiary) [16] could also contribute to this greater prevalence of periodontal disease. Periodontal therapy is an important step to prevent further disease progression, to reduce the risk of tooth loss, and to improve overall periodontal health. Evidence also suggests a bidirectional relationship between periodontitis and type 2 diabetes (T2D) [6]. Periodontal treatment can reduce glycated haemoglobin (HbA1c) levels, and possibly decrease the risk of death related to T2D [17]. Previous studies [18,19,20,21] have shown that in additional to controlling plaque and reducing probing depth and attachment loss, periodontal treatment can contribute to the overall control of oral and systemic inflammation (such as decreasing level of C-Reactive Protein and increasing level of IL-1, IL6 and TNF-α in blood). Given this study included a baseline measurement of diabetes, our findings can corroborate evidence that diabetes is a significant risk factor associated with the incidence/progression of chronic periodontitis. However, it is beyond the scope of this study to examine whether periodontal therapy contributed to a lessening of the effects of diabetes. The association between tobacco smoking and incidence and progression of periodontitis in SADLS I is consistent with a systematic review [22] in which the authors conclude that tobacco smoking has a detrimental effect on the incidence and progression of periodontitis. This association was not observed in SADLS II, which might be attributed to the smaller proportion of participants who were current or former smokers. This study has a number of strengths. To our knowledge, it is the first time that incidence and progression of periodontitis has been estimated across two generations of elderly Australians using longitudinal data. The study used two common periodontal case definitions, which increased the reliability of our findings. Finally, the inclusion of tooth loss due to periodontitis as part of the progression improved the accuracy of estimating incidence and progression of periodontitis. Loss to follow-up is a limitation of this study. Loss to follow-up is inevitable in longitudinal studies and has the potential for bias. We compared baseline characteristics of participants remaining in the study and those lost to follow-up in the two cohorts and found no statistically significant differences for the majority of characteristics. In addition, the random sample collection and high response rates for the interview (around 65%) and oral examination (about 75%) at baseline, and good follow-up rates (more than 70% in SADLS I and nearly 60% in SADLS II) mitigated the potential for bias. The results are representative of only the study sample and cannot be generalised to the broader population. Another limitation is that periodontal status was measured at three sites, rather than six sites of each tooth, ref. [23] which might have clinical implications such as the potential for an underestimation of periodontitis. In future research, the staging and grade of periodontal disease should be based on the most recent recommendations from the United States [2], adopting a causal modelling approach to assess the effects of periodontitis risk factors (such as the change in systemic disease status, functional limitation and cognitive impairment) and of periodontal treatment on the incidence and progression of periodontitis. This could provide the necessary evidence to prevent and reduce the incidence of periodontitis and tooth loss and contribute to improving people’s quality of life.

5. Conclusions

Our findings indicated that the most recent generation (SADLS II) of older adults has higher incidence and progression of chronic periodontitis than the previous generation (SADLSI), despite the lower number of missing teeth. Independent of the generation studied, tobacco smoking is a significant risk factor for the incidence and progression of periodontitis.
  21 in total

Review 1.  Case definitions for use in population-based surveillance of periodontitis.

Authors:  Roy C Page; Paul I Eke
Journal:  J Periodontol       Date:  2007-07       Impact factor: 6.993

2.  Effect of Smoking on Periodontitis: A Systematic Review and Meta-regression.

Authors:  Fábio R M Leite; Gustavo G Nascimento; Flemming Scheutz; Rodrigo López
Journal:  Am J Prev Med       Date:  2018-04-12       Impact factor: 5.043

Review 3.  Periodontitis and chronic kidney disease: a systematic review of the association of diseases and the effect of periodontal treatment on estimated glomerular filtration rate.

Authors:  Leandro Chambrone; Adriana M Foz; Mariana R Guglielmetti; Cláudio M Pannuti; Hilana P C Artese; Magda Feres; Giuseppe A Romito
Journal:  J Clin Periodontol       Date:  2013-02-21       Impact factor: 8.728

4.  Longitudinal effects of systemic inflammation markers on periodontitis.

Authors:  Christiane Pink; Thomas Kocher; Peter Meisel; Marcus Dörr; Marcello R P Markus; Lukasz Jablonowski; Anne Grotevendt; Matthias Nauck; Birte Holtfreter
Journal:  J Clin Periodontol       Date:  2015-11-14       Impact factor: 8.728

5.  Update on Prevalence of Periodontitis in Adults in the United States: NHANES 2009 to 2012.

Authors:  Paul I Eke; Bruce A Dye; Liang Wei; Gary D Slade; Gina O Thornton-Evans; Wenche S Borgnakke; George W Taylor; Roy C Page; James D Beck; Robert J Genco
Journal:  J Periodontol       Date:  2015-02-17       Impact factor: 6.993

6.  Effect of lifestyle on 6-year periodontitis incidence or progression and tooth loss in older adults.

Authors:  Masanori Iwasaki; Wenche S Borgnakke; Hiroshi Ogawa; Takayuki Yamaga; Misuzu Sato; Kumiko Minagawa; Toshihiro Ansai; Akihiro Yoshihara; Hideo Miyazaki
Journal:  J Clin Periodontol       Date:  2018-06-11       Impact factor: 8.728

Review 7.  Periodontitis and Hypertension: Is the Association Causal?

Authors:  Rita Del Pinto; Davide Pietropaoli; Eva Munoz-Aguilera; Francesco D'Aiuto; Marta Czesnikiewicz-Guzik; Annalisa Monaco; Tomasz J Guzik; Claudio Ferri
Journal:  High Blood Press Cardiovasc Prev       Date:  2020-06-04

Review 8.  Recent epidemiologic trends in periodontitis in the USA.

Authors:  Paul I Eke; Wenche S Borgnakke; Robert J Genco
Journal:  Periodontol 2000       Date:  2020-02       Impact factor: 7.589

Review 9.  Global, Regional, and National Prevalence, Incidence, and Disability-Adjusted Life Years for Oral Conditions for 195 Countries, 1990-2015: A Systematic Analysis for the Global Burden of Diseases, Injuries, and Risk Factors.

Authors:  N J Kassebaum; A G C Smith; E Bernabé; T D Fleming; A E Reynolds; T Vos; C J L Murray; W Marcenes
Journal:  J Dent Res       Date:  2017-04       Impact factor: 6.116

10.  Association of periodontitis and diabetic macular edema in various stages of diabetic retinopathy.

Authors:  Marlene Lindner; Behrouz Arefnia; Domagoj Ivastinovic; Harald Sourij; Ewald Lindner; Gernot Wimmer
Journal:  Clin Oral Investig       Date:  2021-06-22       Impact factor: 3.606

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