Literature DB >> 27812624

Prevalence, severity, and risk indicators of gingival inflammation in a multi-center study on South American adults: a cross sectional study.

Paola Carvajal1, Mariel Gómez2, Sabrina Gomes3, Ricardo Costa3, Andres Toledo2, Fernando Solanes1, Hugo Romanelli2, Rui Oppermann3, Cassiano Rösing3, Jorge Gamonal1.   

Abstract

OBJECTIVES: : The aim of this study is to investigate the prevalence and severity of gingival inflammation and associated risk indicators in South American adults.
MATERIAL AND METHODS: : Multi-stage samples totaling 1,650 adults from Porto Alegre (Brazil), Tucumán (Argentina), and Santiago (Chile) were assessed. The sampling procedure consisted of a 4-stage process. Examinations were performed in mobile dental units by calibrated examiners. A multivariable logistic regression model was utilized for associating variables as indicators of gingival inflammation (GI) (Gingival Index ≥0.5). Statistical significance was set at 0.05.
RESULTS: : A total of 96.5% of the adults have GI. Regarding the severity of GI, 22.5% of participants examined have mild GI, 74.0% have moderate GI, and 3.6% have severe GI. The multivariate analyses identify the main risk indicators for GI as adults with higher mean of Calculus Index (OR=18.59); with a Visible Plaque Index ≥30% (OR=14.56); living in Santiago (OR=7.17); having ≤12 years of schooling (OR=2.18), and females (OR=1.93).
CONCLUSIONS: : This study shows a high prevalence and severity of gingival inflammation, being the first one performed in adult populations in three cities of South America.

Entities:  

Mesh:

Year:  2016        PMID: 27812624      PMCID: PMC5083031          DOI: 10.1590/1678-775720160178

Source DB:  PubMed          Journal:  J Appl Oral Sci        ISSN: 1678-7757            Impact factor:   2.698


INTRODUCTION

Gingival inflammation (GI) is a common clinical feature detected in children and adults[1]. It is characterized by swelling, redness, and bleeding at the gums and it is described as an inflammatory reaction upon the pro-inflammatory cytokines that modulate the balance between humoral and cell-associated immune responses[28]. This clinical feature is characteristic of both gingivitis and periodontitis. GI is considered to be one major class of periodontal conditions, and is recognized to result from the increase in supragingival plaque and the ensuing interactions between the microbiota of biofilm and host response[26]. Consequently, the prevention of plaque accumulation and early treatment of GI reduce the risks associated with the development of the more destructive periodontal disease[5], which has also been associated with systemic conditions[8]. Understanding the epidemiologic pattern of GI is essential for planning appropriate public-health services. It has been clearly demonstrated that plaque-induced GI is prevalent at all ages of the dentate population[2,29]. In recent decades, cross-sectional and longitudinal epidemiological studies on periodontitis in adults were performed in Chile[12] and Brazil[14]. Moreover, analytical approaches designed to identify associated factors that could be risk indicators for gingival inflammation are nonexistent. Our main objective in this multi-center, population-based, cross-sectional and epidemiological study is to investigate the prevalence, severity, and risk indicators for gingival inflammation in representative samples of the adult populations of Porto Alegre (Brazil), Tucumán (Argentina), and Santiago (Chile).

MATERIAL AND METHODS

Study design, sampling, and sample sizes

The present cross-sectional, representative study utilized stratified, multistage probability samples of the civilian, noninstitutionalized adult populations in three South American cities. Data were collected between January and July of 2014. Our sampling approach considered various age subgroups (18–19; 20–29; 30–39; 40–49; and ≥50 years of age). Considering previously published information that estimated a prevalence of gingivitis of 93.9%[21] (average Gingival Index ≥0.5) with a precision rate of 95% and a 2% error, we determined that a sample size of 550 adults would be appropriate for each of the three cities in the study. To do so, the formula to estimate the prevalence of a population (n=Z2 1-α/2 P(1-P)/e2) was used. The study participants were selected using a multi-staged probability sampling process. Age groups were formed according to a proportional approach to the base population registries in the total of urban administrative regions in Porto Alegre, Tucumán, and Santiago, according to the last census in each city, and considering differences in gender and age. The sampling process consisted of four stages: City (primary sampling units - 1st stage); Tract census (2nd stage); Blocks (3rd stage); and Individuals within the age group (4th stage). The cities were chosen according to logistics and interests in the three countries. Using maps of each city, primary census sectors were randomly chosen. The number of sectors in each city was determined according to the city size and census distribution. If the access to a primary census sector was not possible, the next available census sector was chosen. In each census sector, the blocks were randomly chosen. On each block, households were consecutively approached according to the sector starting point, until the number of participants expected for each sector was reached. Places such as nursing homes and commercial establishments were not included. When no potential participants were available for examination in a household, the next household was visited. Candidates who have expressed an interest in participating in the study were selected based on the following criteria: 18 years of age or older, healthy, and with at least four permanent teeth. Were excluded from the study candidates needing antibiotic prophylaxis prior to dental examination, women who were pregnant or breastfeeding, individuals with fixed orthodontic appliances, or individuals who chronically used nifedipine, cyclosporine, phenytoin, or any prescription medicines that might interfere with the study outcome. The protocol used for this study is in accordance with the Declaration of Helsinki and was reviewed and approved by the Institutional Review Boards of the University of Chile, Federal University of Rio Grande do Sul, and Maimonides University. All study participants were informed about the aims of the study and signed an informed consent form.

Clinical evaluation and sociodemographic and behavioral data

A sociodemographic and general health interview was conducted and a structured questionnaire, consisting of open and closed questions about demographics, habits, attitudes, and knowledge related to oral health, was designed and administered to all participants. This questionnaire was tested at each of the three study sites and adapted according to the necessities of the local population. Finally, a complete dental examination was performed on all participants in the study. Prior to the initiation of the study, the principal investigators and examiners met in Porto Alegre in order to standardize diagnostic criteria with the reference examiner (CR). Intra- and inter-examiner kappa coefficients for the Visible Plaque Index, Calculus Index, and Gingival Index were above 0.7. In addition, the structured questionnaire was standardized for each of the three study locations. Each team consisted of one clinical examiner, totaling three dental examiners (RC, AT, FS) and each conducted exams using a manual periodontal probe (UNC-15) and mobile dental units. Good clinical practice standards were used and warranted. Periodontal clinical parameters were evaluated in all teeth, excluding third molars. The parameters evaluated were Visible Plaque Index (VPI), Calculus Index (CI), and Gingival Index (G-Index). Visual plaque assessment was determined using absence (0) or presence (1) of dental plaque according to Ainamo & Bay. The Löe modification of the Löe-Silness index was used to evaluate gingival health. Each tooth was divided into six surfaces, three facial and three lingual, as follows: 1) mesio-facial; 2) mid-facial; 3) disto-facial; 4) mesio-lingual; 5) mid-lingual; and 6) disto-lingual. Third molars and those teeth with cervical restorations or prosthetic crowns were excluded from the scoring procedure. Absence (0) or presence (1) of calculus was scored in lower anterior teeth (CI). Each tooth was divided into three lingual surfaces, as follows: disto-lingual, medio-lingual, and mesio-lingual. At the end of clinical examinations, those participants who were diagnosed with periodontal pathologic conditions were provided a written report of their condition and advised to seek an oral health consultation.

Definition of variables

The prevalence of gingival inflammation was defined as the percentage of study participants with a mean Gingival Index (G-Index) ≥0.5. Gingival Bleeding Index (GBI) was defined as the percentage of sites with G-Index ≥2. When appropriate, estimates were isolated for interproximal sites. Severity of gingival inflammation was defined as G-Index 0.5–1.0 for mild, 1.1–2.0 for moderate, and >2.0 for severe gingival inflammation. Study participants were classified by their smoking habits as either nonsmokers or smokers. Smokers were further classified as light (5 cigarettes per day), moderate (5–10 per day), and heavy (over 10 per day). The educational level of the study participants was also categorized as ≤12 or >12 years of school. The G-Index, VPI, GBI, and CI indices are represented in the data as mean values.

Statistical analyses

Continuous data are presented as means ± SDs, and categorical variables are presented as percentages. The data are stratified according to sociodemographic, behavioral, and periodontal values. Chi-square tests were applied to compare distributions of periodontal variables between age groups and centers; to assess differences in the means and percentages, Mann-Whitney or Kruskall-Wallis tests were applied, and statistical analyses were performed using a statistical software package (Stata/IC 13.1). A multi-variable logistic regression model was built to assess the contribution of each variable (age, gender, smoking, and social or cultural factors). The occurrence of gingival inflammation was considered if G-Index ≥0.5. In addition, variables were analyzed in the model and allowed if the coefficient was modified by at least 10%. VPI was dichotomized at 30%. Odds ratios were calculated with 95% confidence intervals, and statistical significance was defined as p<0.05.

RESULTS

A total of 1650 adults from Porto Alegre, Tucumán, and Santiago participated in this study. Females represent 52.5% of the overall study participants, while one third of the participants are in the >50 years age group.

Prevalence of gingival inflammation

Table 1 shows that the overall prevalence of gingival inflammation (mean G-Index ≥0.5) for the study population is 95.6%. The Santiago and Porto Alegre participants present a significantly higher prevalence of gingival inflammation (p<0.001) at 99.1% and 97.3%, respectively, as compared with participants from Tucumán, at 90.4%. Only in Porto Alegre the prevalence of gingival inflammation in the ≥50 years age group is significantly higher than in the 40–49 and 20–29 years age groups (p<0.05). When the total sample is considered, a significant difference is observed between the prevalence of gingival inflammation in the 20–29 (92.3%) and the ≥50 years age groups (97.3%, p<0.05) for Porto Alegre and Tucumán, but not for Santiago.
Table 1

Prevalence of gingival inflammation (mean G-lndex≥0.5) according to age per city

Age (years)PORTO ALEGRE** TUCUMÁNSANTIAGOTOTAL**
Gingival InflammationGingival InflammationGingival InflammationGingival InflammationTotal
n(%)n(%)n(%)n(%)n(%)
18–19241002993.5241007797.5794.8
20–299894.212585.012699.234992.337822.9
30–3911596.611591.310198.133195.134821.1
40–4910295.38694.510210029096.730018.2
>5019610014291.619299.053097.354533.0
Total53597.3* 49790.4* 54599.1* 1 57795.61 650100

p-value <0.001, Fisher's exact test to assess differences between prevalence of gingival inflammation Tucumán versus P. Alegre and Santiago

p-value <0.05, Fisher's exact test to assess differences between prevalence of gingival inflammation and age

p-value <0.001, Fisher's exact test to assess differences between prevalence of gingival inflammation Tucumán versus P. Alegre and Santiago p-value <0.05, Fisher's exact test to assess differences between prevalence of gingival inflammation and age Considering the total sample of the present study, no statistically significant difference is observed between genders (Table 2). In the entire sample, individuals with ≤12 years of education present a gingival inflammation prevalence that is higher than those with >12 years of education (prevalence of 97.3% versus 92.2%, respectively, p<0.0001), but this difference is most pronounced and significant only for the sample of Tucumán (94.9% versus 81.0%, p<0.05) when the three city samples are separately analyzed.
Table 2

Prevalence of gingival inflammation according to risk indicators per city

VariablesPREVALENCE OF GINGIVAL INFLAMMATION BY CITY AND TOTAL
n(%)PORTO ALEGRETUCUMÁNSANTIAGOTOTALp-value**
n(%)n(%)n(%)n(%)
GenderFemale86752.62759827492.628698.383596.3
Male78347.526096.322387.825910074294.80.127
Education (years)≤121 09966.642497.935294.9* 29399.31 06997.3*
>1255133.411194.914581.025298.850892.20.000
SmokingNo1 18071.538496.736889.536898.91 12094.2
Current (light)17110.417100.05796.69498.916898.3
Current (moderate)764.62496.01794.433100.07497.4
Current (heavy)22313.511099.15588.750100.021596.40.194
Self-reported diabetesNo diabetes1 52892.648997.049390.347399.01 45595.2
Yes1227.446100410072100122100* 0.005
Self-reported hypertensionNo hypertension1 33280.737996.444389.544199.31 26394.8
Yes31819.315699.45498.2* 10498.131498.7* 0.001
Plaque Index<30%583.51164.7721.2675.02441.4
≥30%1 59296.552498.3* 49094.8* 53999.5* 1 55397.6* 0.000

p-value <0.05, Fisher's exact test, to assess differences between prevalence of gingival inflammation for each variable and city

p-value, Fisher's exact test, to assess differences between prevalence of gingival inflammation in the total sample for each variable

p-value <0.05, Fisher's exact test, to assess differences between prevalence of gingival inflammation for each variable and city p-value, Fisher's exact test, to assess differences between prevalence of gingival inflammation in the total sample for each variable Participants who smoke present a higher prevalence of gingival inflammation as compared with nonsmokers, but the difference was not statistically significant (p=0.194). Those participants with self-reported diabetes and hypertension also present a significantly higher prevalence of gingival inflammation as compared with those not reporting these conditions. Within cities, only in Tucumán there is a statistically significant difference in gingival inflammation prevalence between those who self-report hypertension and those who do not (98.2% versus 89.5%, respectively, p<0.05). Adults with a visible plaque index ≥30% present a significantly higher prevalence of gingival inflammation than those with visible plaque index <30% (97.6% versus 41.4%, respectively, p<0.0001) (Table 2). Table 3 describes all clinical variables examined in this study (mean G-Index, mean GBI, mean VPI, and mean CI). Regarding all of these variables, higher values are observed in individuals with higher gingival inflammation prevalence, compared with lower values in healthy adults (p<0.001) in the three cities. In participants with gingival inflammation, the mean G-Index in interproximal sites is 1.35 (±0.43) and in all sites is 1.33 (±0.43), without statistically significant differences. Study participants from Santiago had the highest average gingival index (1.73) compared with those from Tucumán and Porto Alegre, at 1.11 and 1.12, respectively (p<0.001). The mean VPI in interproximal sites is higher than the mean plaque index for all sites examined (81% versus 75%, respectively) for the total study population. Significant differences for the city of Porto Alegre and Santiago are found between interproximal VPI and total VPI. The rates of interproximal VPI in individuals with gingival inflammation in Santiago, Porto Alegre, and Tucumán are 89%, 80%, and 74%, respectively, while the mean interproximal VPI values in healthy adults are 45%, 30%, and 52%, for Santiago, Tucumán, and Porto Alegre, respectively, with significant differences between them (p<0.001) (Table 3). The mean CI rates in individuals with gingival inflammation are 89% in Porto Alegre, 74% in Tucumán, and 81% in Santiago with significant differences between them, while the CI rates in healthy adults are 52%, 26%, and 41%, respectively (Table 3). GBI is higher in individuals classified as having gingival inflammation (41%) as compared with healthy adults (2%, p=0.001), and GBI is higher in Santiago as compared with Porto Alegre and Tucumán (Table 3).
Table 3

Average G-Index, Interproximal Inter G-Index, Gingival Bleeding Index (GBI), Visual Plaque Index (VPI), Interproximal VPI, and Calculus Index (CI)

PORTO ALEGRETUCUMÁN SANTIAGOTOTALp-value*p-value**p-value***p-value****
(n = 550)(n = 550)(n = 550)(n = 1650)
VariableHealthyGIHealthyGIHealthyGIHealthyGI
n=15n=535n=53n=497n=5n=545n=73n=1577
meanSDmeanSDmeanSDmeanSDmeanSDmeanSDmeanSDmeanSD
G-Index0.440.051.120.340.360.111.110.350.2423.41.730.280.370.121.330.440.0000.4240.0000.000
Inter G-Index0.490.081.170.320.360.111.090.350.300.281.760.280.380.131.350.430.0000.0020.0000.000
GBI3.13.022.918.40.022.323.019.72.22.274.123.42.32.540.631.90.0000.4080.0000.000
VPI35.818.870.518.129.412.173.520.044.221.981.618.131.714.875.219.40.0010.0010.0000.000
Inter VPI45.122.579.017.130.012.574.020.352.427.188.916.034.617.781.218.80.0040.0020.0000.000
CI52.034.988.521.125.926.973.832.041.228.581.127.232.030.281.327.70.0030.0000.0000.003

G-Index, Gingival Index; Inter G-Index, Interproximal Gingival Index; GBI, Gingival Bleeding Index; VPI, Visual Plaque Index, Inter VPI, Interproximal Visual Plaque Index; CI, Calculus Index. Mann-Whitney test or Kruskall-Wallis adjusted p-value for significance, as a appropriate, to assess; differences between healthy versus gingival inflammation for all cities (*), prevalence of gingival inflammation Porto Alegre versus Tucumán (**), prevalence of gingival inflammation Porto Alegre versus Santiago (***) and prevalence of gingival inflammation Tucumán versus Santiago (****)

G-Index, Gingival Index; Inter G-Index, Interproximal Gingival Index; GBI, Gingival Bleeding Index; VPI, Visual Plaque Index, Inter VPI, Interproximal Visual Plaque Index; CI, Calculus Index. Mann-Whitney test or Kruskall-Wallis adjusted p-value for significance, as a appropriate, to assess; differences between healthy versus gingival inflammation for all cities (*), prevalence of gingival inflammation Porto Alegre versus Tucumán (**), prevalence of gingival inflammation Porto Alegre versus Santiago (***) and prevalence of gingival inflammation Tucumán versus Santiago (****)

Severity of gingival inflammation

Tables 4a and 4b present mean G-Index as restricted to interproximal surfaces as well as mean GBI according to age and city. GBI means of 32.5%, 37.7%, 37.4%, 41.6%, and 45.2% are found for 18–19 year olds, 20–29 year olds, 30–39 year olds, 40–49 year olds, and ≥50 year olds, respectively (Table 4a). Participants from Santiago showed the highest mean GBI (Table 4a). Regarding the severity of gingival inflammation, 22.5% of participants examined have mild gingival inflammation, 74.0% have moderate gingival inflammation, and 3.6% have severe gingival inflammation. In Santiago, the vast majority of adults present moderate gingival inflammation (90.6%) and, for all age groups, the gingival inflammation prevalence is higher than what is observed in Porto Alegre and Tucumán (Table 4b).
Table 4a

Average Gingival Index (total and interproximal) and average Gingival Bleeding Index by age and city

Gingival IndexInterproximal Gingival IndexGingival Bleeding Index
Age (years)MeanIC 95%p-value *p-value **p-value ***meanIC 95%p-value *p-value **p-value ***meanIC 95%p-value *p-value **p-value ***
PORTO ALEGRE18–191.000.89,1.110.0051.060.95,1.160.01018.51.0,56.00.344
20–291.071.01,1.131.121.07,1.1821.10.0,72.0
30–391.071.02,1.131.131.07,1.1820.61.0,78.0
40–491.111.05,1.181.161.10,1.2222.31.0,94.0
≥501.191.14,1.251.231.18,1.2825.90.0,100
TUCUMÁN18–191.151.00,1.290.1880.6831.120.97,1.270.2292.26323.615.9,31.30.2851.358
20–291.071.01,1.132.5351.051.00,1.110.07821.018.0,24.12.333
30–391.101.04,1.161.1751.071.01,1.130.55621.918.8,25.01.415
40–491.081.01,1.161.0431.060.99,1.140.04221.617.0,26.20.422
≥501.171.11,1.232.1671.151.08,1.210.09326.422.7,30.12.969
SANTIAGO18–191.511.34,1.670.0000.0000.0051.551.39,1.700.0000.0000.00057.144.8,69.40.0000.0000.000
20–291.661.61,1.700.0000.0001.681.64,1.730.0000.00067.163.0,71.20.0000.000
30–391.721.66,1.790.0000.0001.761.70,1.820.0000.00074.269.3,79.10.0000.000
40–491.771.71,1.820.0000.0001.81.75,1.860.0000.00077.773.3,82.20.0000.000
≥501.781.74,1.810.0000.0001.81.77,1.840.0000.00078.875.8,81.70.0000.000
TOTAL18–191.211.12,1.310.0001.231.14,1.320.00032.526.2,38.70.002
20–291.281.24,1.331.31.26,1.3437.734.6,40.8
30–391.281.23,1.331.31.25,1.3537.434.0,40.8
40–491.331.28,1.391.361.30,1.4141.637.7,45.5
>501.401.36,1.441.421.38,1.4545.242.4,48.0

Kruskal-Wallis adjusted p-value for significance, to assess differences between ages versus each Index by city and total (p-value*), differences between Porto Alegre versus Tucumán or Santiago in each Index (p-value**).

differences between Tucumán versus Santiago in each Index (p-value***)

Table 4b

Severity (mild, moderate, and severe) of gingival inflammation (Gl) per age and city

MILD GIMODERATE GISEVERE GI
Age (years)n%IC 95%n%IC 95%n%IC 95%p-value*p-value**
PORTO ALEGRE18–191354.234.2,72.91145.827.1,65.800.0
20–293737.828.7,47.86162.252.2,71.300.0
30–395447.038.0,56.15749.640.5,58.743.51.3,9.00.090
40–494140.231.1,50.05856.947.0,66.232.90.9,8.8
≥506432.726.4,39.612664.357.3,70.763.11.4,6.7
TUCUMÁN18–191241.424.9,60.01655.236.8,72.213.50.4,21.5
20–295544.035.5,52.96955.246.4,63.710.80.1,5.5
30–394841.733.0,51.06556.547.3,65.321.70.4,6.70.300
40–494248.838.4,59.44147.837.3,58.333.51.1,10.4
≥505135.928.4,44.29063.455.1,70.910.70.1,4.9
SANTIAGO18–19312.54.0,33.02187.567.0,96.000.00.007
20–2921.60.4,6.211893.787.8,96.864.82.1,10.20.000
30–3966.02.7,12.79089.181.3,93.955.02.1,11.40.2300.000
40–4932.90.9,8.89391.283.8,95.465.92.7,12.50.000
≥5042.10.8,5.417691.786.8,94.8126.33.6,10.70.000
TOTAL18–192836.426.4,47.74862.351.0,72,511.30.2,8.7
20–299426.922.5,31.824871.166.1,75.672.01.0,4.2
30–3910832.627.8,37.921264.158.7,69.1113.31.9,5.90.019
40–498629.724.7,35.219266.260.6,71.4124.12.4,7.2
≥5011922.519.1,26.23927470.0,77.5193.62.3,5.6

Chi-square test, to assess differences between ages versus severity for each city and total (p-value*), differences between cities by each group (p-value**)

Kruskal-Wallis adjusted p-value for significance, to assess differences between ages versus each Index by city and total (p-value*), differences between Porto Alegre versus Tucumán or Santiago in each Index (p-value**). differences between Tucumán versus Santiago in each Index (p-value***) Chi-square test, to assess differences between ages versus severity for each city and total (p-value*), differences between cities by each group (p-value**)

Risk indicators of gingival inflammation

The multivariate logistic regression model, which was designed to assess indicators that could be related to gingival inflammation prevalence (G-Index≥0.5) in the adult samples, demonstrates that subjects with higher CI mean (OR=18.59); with a VPI ≥30% (OR= 14.56); living in Santiago (OR=7.17); having ≤12 years of schooling (OR=2.18), and females (OR=1.93) are more likely to present gingival inflammation. This model was adjusted for age, presence of diabetes, and self-reported hypertension and smoking (Table 5).
Table 5

Multivariate analyses of factors associated with gingival inflammation (average G-Index ≥0.5). The variables that are statistically for any city or to the total are shown

TOTAL (n=1650)PORTO ALEGRE (n=550)TUCUMÁN (n=550)SANTIAGO (n=550)
VariablesORCI 95%p-valueORCI 95%p-valueORCI 95%p-valueORCI 95%p-value
GenderMale
Female1.931.03,3.590.0396.481.32,31.860.0211.590.72,3.530.2540.000.000.997
Education>12
(years)≤122.181.19,4.020.0121.290.33,5.060.7133.211.46,7.080.0041.880.24,15.060.550
CI (mean)18.597.13,48.500.00025.663.89,169.100.00118.245.44,61.190.00036.610.099
0.51,2634.86
VPI<30%
≥30%14.566.75,31.400.00010.782.06,56.490.00521.107.33,60.710.00018.701.30,269.520.031
CityTucumán
Porto Alegre1.750.81,3.790.153
Santiago7.172.58,19.930.000

Logistic regression model for the presence of gingival inflammation (average G-index ≥0.5) adjusted for gender, age, educational level, self-reported diabetes, self-reported hypertension, smoking, visual plaque index, calculus index for each city and for the total sample by city. The variables that are statistically significant for any city or to the total are shown

Logistic regression model for the presence of gingival inflammation (average G-index ≥0.5) adjusted for gender, age, educational level, self-reported diabetes, self-reported hypertension, smoking, visual plaque index, calculus index for each city and for the total sample by city. The variables that are statistically significant for any city or to the total are shown

DISCUSSION

The population examined in the present study is comprised of a random sample of individuals aging 18 years or older from Porto Alegre (Brazil), Tucumán (Argentina), and Santiago (Chile). To our knowledge, this is the first study conducted to assess the prevalence of gingival inflammation in a representative sample of adult populations from three Latin American cities. The sampling strategy that we employed was successful in achieving a representative and balanced sample of participants, since the individuals examined in each age group for each of the three cities are in the same proportion as in the whole study population for the three cities combined. In this study, 95.6% of the 1650 adults examined from three South American cities present a G-Index >0.5. This information corroborates the data reported for adults from Jordan, China, and the United States of America, which demonstrated that adults with a G-Index >0.5 comprise 75.8%, 97.9%, and 93.9% of their respective populations[1,21,30]. Comparing our results with that from previous studies is somewhat hindered by the use of different nomenclature and diagnostic criteria across studies. The Community Periodontal Index (CPI) was used to report the occurrence of probing pocket depth, calculus, and gingival inflammation in the Hungarian adult population, and gingival bleeding (CPI=1) was observed in 8% of the population[15]. The National Health and Nutrition Examination Survey III (NHANES III) conducted in the USA between 1988–1994 demonstrated that 50% of the adult USA population had gingival inflammation, using gingival bleeding as the criterion[3]. A study conducted in Italy, using bleeding on probing (BoP) as the criterion, determined that the prevalence of individuals showing at least one site positive for BoP was 99%[11]. All the aforementioned studies demonstrate that the occurrence of gingival inflammation is almost universally correlated with poor gingival conditions. In addition, there is a large discussion in the literature regarding how to define disease criteria. It would be interesting to develop guidelines to suggest which criteria should be standardized for use in epidemiological studies for gingival conditions[16]. Concerning the severity of gingival inflammation, the present study shows that 22.5% of adults have mild gingival inflammation, 74.0% have moderate gingival inflammation, and 3.6% have severe gingival inflammation. In contrast, representative studies conducted in Europe and Australia demonstrated that the prevalence of severe gingival inflammation is comparably much higher (17% and 19.7%, respectively) in these populations[15,17]. The multivariate logistic regression models that we employed show that a female with ≤12 years of schooling, a higher dental calculus index, ≥30% of VPI, and living in Santiago has an increased likelihood of presenting gingival inflammation, when adjusting for age, presence of diabetes, and self-reported hypertension and smoking. In this study, to live in Santiago was a risk indicator for presenting GI. It could be because these subjects had lower oral hygiene habits compared with those from the other cities. Indeed, subjects with presence of GI belonging to Santiago had a higher average percentage of VPI, compared with subjects with GI of Tucumán and Porto Alegre. In fact, the plaque index has been associated with increased presence of gingival inflammation and worst level of oral hygiene in other populations[9]. There are limited studies at the Latin American level on the prevalence of periodontal conditions[27], which allow contrast with the findings in this study. Although subjects belonging to Santiago present greater gingival inflammation and increased risk of it, is based with those reported for that country, where Chilean adults had a high prevalence of periodontal destruction and indicators of gingival inflammation[12]. The present study also demonstrates a socioeconomic gradient in the oral health of the populations examined. Participants from lower socioeconomic groups present significantly poorer gingival health as compared with participants in higher socioeconomic groups[4]. In this regard, different explanations have been raised in the literature to explain such findings. For example, those in lower socioeconomic situations are also more likely to smoke, and smoking has been found as a significant risk factor for periodontitis[10]. On the other hand, individuals with higher socioeconomic status are likely to have more positive attitudes regarding oral hygiene and self-care, and better access to available health care options. Therefore, low incomes and low levels of education seem to be variables with good predictability for periodontal diseases[7]. The prevalence of gingival inflammation in females found in the present study contradicts results from Greece, where women have been shown to have better oral hygiene and gingival status than men[22]. Perhaps this difference is more about culture than gender. It should be noted that only when adjusting the multivariate model by confounding variables, female gender appears as a possible risk indicator for the presence of gingival inflammation. On the other hand, the longitudinal recovery of bleeding sites was positively influenced in females[25]. Regarding the self-reported diabetes and hypertension among our participants, 7.4% have diabetes and 19.3% have hypertension. Participants with self-reported diabetes and hypertension present a significantly higher prevalence of gingival inflammation than those not reporting these conditions. Previous studies have reported comparable results regarding this association between type 2 diabetes and periodontal disease[20]. We find that current smokers comprise 28.8% of our total study participants, and these smokers present a slightly higher prevalence of gingival inflammation than nonsmokers in our study, but this finding was not statistically significant. These results contrast with the findings of Muller, et al.[25] (2002), in which study participants (soldiers of the German Armed Forces serving between December 1999 and May 2000) who smoked were found to have more prevalent bleeding on probing and more calculus than nonsmokers. Smoking was first identified as a risk factor in periodontal diseases from an analysis of data by Ismail, et al.[18] from data collected from 1971 to 1975. An analysis by the National Health and Nutrition Examination Survey in the U.S. (NHANES I) was able to demonstrate an association between smoking and periodontal diseases that was independent of oral hygiene, age, or other probable risk factors. Since then, there has been enough evidence to identify smoking as a risk factor for periodontitis[13]. Studies performed in randomly chosen groups of patients demonstrated that tobacco use and oral hygiene are risk indicators for periodontitis; in particular, smokers were invariably shown to have a higher prevalence and progression of destructive periodontal diseases[24]. There is a strong need in Latin America to focus on more effective intervention programs to prevent and control periodontal diseases at national levels. It should be emphasized that since periodontitis begins as gingivitis, it is reasonable to conclude that the control of gingival inflammation can be beneficial to the population as a whole to prevent both the onset and the progression of periodontal damage caused by periodontitis. While the disability-adjusted life-years (DALYs) due to severe periodontitis and untreated caries have increased since 1990, those due to severe tooth loss have decreased. Oral conditions are all ranked among the top 100 detailed causes of DALYs[23]. These findings highlight the challenge in responding to the diversity of urgent oral health needs worldwide, particularly in developing communities. Gingival inflammation, which could be considered a reversible and easily controlled disease in stage of gingivitis, is found to be highly prevalent among adult study participants from the three cities in Latin America of this study. In addition, these individuals are also more likely to attend preventive or follow-up visits because socioeconomic characteristics (such as income and level of education) influence the pattern and type of dental services used[6]. Poor awareness of the importance of periodontal health and the consequences of the disease among the public and even among some general dental practitioners is one of the most common reasons for failure to control and treat periodontal diseases effectively on a population basis[19]. We recommend that effective intervention programs for the prevention and control of periodontal diseases should be implemented at national levels, and the need for such implementation seems to be extremely important in the three countries we studied here. We believe that there is a strong need across Latin America to improve the population's self-awareness about oral health through better oral health education that promotes good oral hygiene and regular dental care. This study was aimed to detect gingival inflammation instead of establishing the diagnosis of either gingivitis or periodontitis in order to determine the risk of gingivitis onset or periodontitis progression in the study population.

CONCLUSIONS

Considering our findings together, it is possible to conclude that gingival inflammation is highly prevalent in the three Latin American cities studied. Overall, 95.6% of the participants aging 18 years or older had gingival inflammation, considering that more than two-thirds have moderate gingival inflammation and 3.6% have severe gingival inflammation. In general terms, the presence of gingival inflammation is positively associated with risk indicators such as gender, socioeconomic variables, and the presence of plaque. The present investigation serves as the basis for a longitudinal analysis of oral health in populations of South American adults, and for the development of strategies to improve the health care systems that serve them.
  30 in total

1.  Global oral health inequalities: task group--periodontal disease.

Authors:  L J Jin; G C Armitage; B Klinge; N P Lang; M Tonetti; R C Williams
Journal:  Adv Dent Res       Date:  2011-05

2.  Periodontal health of an adult population in Hungary: findings of a national survey.

Authors:  Péter Hermann; István Gera; Judit Borbély; Pál Fejérdy; Melinda Madléna
Journal:  J Clin Periodontol       Date:  2009-06       Impact factor: 8.728

Review 3.  Has the prevalence of periodontitis changed during the last 30 years?

Authors:  Anders Hugoson; Ola Norderyd
Journal:  J Clin Periodontol       Date:  2008-09       Impact factor: 8.728

4.  Risk factors for the progression of periodontal attachment loss: a 5-year population-based study in South Brazil.

Authors:  Alex Nogueira Haas; Marcius Comparsi Wagner; Rui Vicente Oppermann; Cassiano Kuchenbecker Rösing; Jasim M Albandar; Cristiano Susin
Journal:  J Clin Periodontol       Date:  2014-01-12       Impact factor: 8.728

5.  Prevalence of bleeding on probing: a cohort study in a specialist periodontal clinic.

Authors:  Roberto Farina; Chiara Scapoli; Alberto Carrieri; Maria Elena Guarnelli; Leonardo Trombelli
Journal:  Quintessence Int       Date:  2011-01       Impact factor: 1.677

6.  Epidemiologic patterns of smoking and periodontal disease in the United States.

Authors:  A I Ismail; B A Burt; S A Eklund
Journal:  J Am Dent Assoc       Date:  1983-05       Impact factor: 3.634

7.  Association between type 1 and type 2 diabetes with periodontal disease and tooth loss.

Authors:  Gaganpreet Kaur; Birte Holtfreter; Wolfgang Rathmann; Wolfgan G Rathmann; Christian Schwahn; Henry Wallaschofski; Sabine Schipf; Matthias Nauck; Thomas Kocher
Journal:  J Clin Periodontol       Date:  2009-07-20       Impact factor: 8.728

8.  Global burden of oral conditions in 1990-2010: a systematic analysis.

Authors:  W Marcenes; N J Kassebaum; E Bernabé; A Flaxman; M Naghavi; A Lopez; C J L Murray
Journal:  J Dent Res       Date:  2013-05-29       Impact factor: 6.116

9.  Prevalence and risk indicators of gingivitis and periodontitis in a multi-centre study in North Jordan: a cross sectional study.

Authors:  Khansa Taha Ababneh; Zafer Mohammad Faisal Abu Hwaij; Yousef S Khader
Journal:  BMC Oral Health       Date:  2012-01-03       Impact factor: 2.757

10.  Comparing clinical attachment level and pocket depth for predicting periodontal disease progression in healthy sites of patients with chronic periodontitis using multi-state Markov models.

Authors:  Ibrahimu Mdala; Ingar Olsen; Anne D Haffajee; Sigmund S Socransky; Magne Thoresen; Birgitte Freiesleben de Blasio
Journal:  J Clin Periodontol       Date:  2014-07-22       Impact factor: 8.728

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Review 1.  Effectiveness of interdental cleaning devices with active substances: a systematic review.

Authors:  Gerson Pedro José Langa; Pedro Paulo de Almeida Dantas; Gloria Marcela Ramírez Lemus; Carlos Guillermo Benítez Silva; Jonathan Meza-Mauricio; Francisco Wilker Mustafa Gomes Muniz
Journal:  Clin Oral Investig       Date:  2022-01-09       Impact factor: 3.606

Review 2.  Powered Toothbrushes: An Opportunity for Biofilm and Gingival Inflammation Control.

Authors:  Cassiano Kuchenbecker Rösing; Eduardo Garduño; Sandra Kalil Bussadori; Agustín Zerón; Paulo Vinícius Soares; Marc Saadia; Cristina Cunha Villar
Journal:  Int J Dent       Date:  2022-08-22

3.  Global Search Trends of Oral Problems using Google Trends from 2004 to 2016: An Exploratory Analysis.

Authors:  Basavaraj Patthi; Jishnu Krishna Kumar; Ashish Singla; Ritu Gupta; Monika Prasad; Irfan Ali; Kuldeep Dhama; Lav Kumar Niraj
Journal:  J Clin Diagn Res       Date:  2017-09-01

4.  Prevalence of Plaque-Induced Gingivitis in a Sample of the Adult Egyptian Population.

Authors:  Basma Mostafa; Ibrahim El-Refai
Journal:  Open Access Maced J Med Sci       Date:  2018-03-10

Review 5.  Effects of Herbal Mouthwashes on Plaque and Inflammation Control for Patients with Gingivitis: A Systematic Review and Meta-Analysis of Randomised Controlled Trials.

Authors:  He Cai; Junyu Chen; Nirmala K Panagodage Perera; Xing Liang
Journal:  Evid Based Complement Alternat Med       Date:  2020-01-20       Impact factor: 2.629

6.  Association between gingival parameters and Oral health-related quality of life in Caribbean adults: a population-based cross-sectional study.

Authors:  J R Collins; A R Elías; M Brache; K Veras; G Ogando; M Toro; S Rivas-Tumanyan; A B Rajendra
Journal:  BMC Oral Health       Date:  2019-11-01       Impact factor: 2.757

7.  Alzheimer's Disease-Like Pathology Triggered by Porphyromonas gingivalis in Wild Type Rats Is Serotype Dependent.

Authors:  Jaime Díaz-Zúñiga; Jamileth More; Samanta Melgar-Rodríguez; Matías Jiménez-Unión; Francisca Villalobos-Orchard; Constanza Muñoz-Manríquez; Gustavo Monasterio; José Luis Valdés; Rolando Vernal; Andrea Paula-Lima
Journal:  Front Immunol       Date:  2020-11-09       Impact factor: 7.561

8.  Epidemiology and associated factors of gingivitis in adolescents in Guangdong Province, Southern China: a cross-sectional study.

Authors:  Weihua Fan; Conghua Liu; Yazhi Zhang; Zijing Yang; Jianbo Li; Shaohong Huang
Journal:  BMC Oral Health       Date:  2021-06-16       Impact factor: 2.757

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