Open Access

Social vulnerability and factors associated with oral impact on daily performance among adolescents

  • Inara Pereira da Cunha1Email author,
  • Antônio Carlos Pereira1,
  • Antônio Carlos Frias3,
  • Vladen Vieira4,
  • Marcelo de Castro Meneghim1,
  • Marília Jesus Batista2,
  • Karine Laura Cortellazzi1 and
  • Jaqueline Vilela Bulgareli1
Health and Quality of Life Outcomes201715:173

https://doi.org/10.1186/s12955-017-0746-1

Received: 23 November 2016

Accepted: 22 August 2017

Published: 30 August 2017

Abstract

Background

Oral disorders may negatively affect the quality of life (QoL) of adolescents.

To investigate how social vulnerability and oral-health status factors affect QoL in 15–19 years olds who participated in the “SB São Paulo 2015” state survey.

Methods

The relationship of several independent variables, namely Paulista Social Vulnerability Index (PSVI) score, gender, skin color, family income, age, untreated caries, tooth loss [determined by the Decayed, Missing, Filled-Teeth (DMF-T) index], toothache, periodontal condition [determined by the Community Periodontal Index (CPI)], and malocclusion (maxillary overjet, cross bite, or open bite) affect daily life, measured by the Oral Impacts on Daily Performance (OIDP) instrument. Logistic regression analyses were carried out based on a hierarchical model.

Results

The final sample consisted of 5402 adolescents. The prevalence of at least one negative impact of oral health on QoL was 37.3%. After adjustment, demographic factors that were found to influence this impact significantly (p < 0.01) were female gender [odds ratio (OR) 1.78, 95% confidence interval (CI) = 1.59–2.0], non-white skin color (OR 1.66, 95% CI = 1.47–1.88), and a low family income (OR 1.28, 95% CI = 1.28–1.29). Additionally, oral conditions associated with oral health impact on QoL included the presence of at least one untreated tooth decay lesion (OR 1.42, 95% CI = 1.25–1.61), loss of at least one tooth (OR 1.49; 95% CI = 1.25–1.78), toothache (OR 4.87, 95% CI = 4.25–5.59), bleeding on probing (OR 1.45, 95% CI = 1.25–1.68), and severe maxillary overjet (OR 1.68, 95% CI = 1.15–2.45).

Conclusion

Social vulnerability (PSVI score) was not associated with the OIDP score, but oral health conditions and socio-demographic variables, including gender, skin color, and income, were found to affect adolescents’ daily activities. Strategies that consider the perceptions of this segment of the population should be implemented to strengthen their autonomy and totality of care.

Keywords

Oral health Quality of life Adolescent Social vulnerability

Background

With the recent trend toward individualization of medicine, efforts to consider age in treatment planning have been increasing. Providing health care for teenagers is particularly challenging given the extensive transformation and maturation that occurs during adolescence [1]. Because adolescents are at increased risk for some oral diseases, it is necessary that quality dental care services for this population aimed at improving oral-health behavior be developed together with communities [2]. Valid indicators from a situational analysis of real-world conditions must be developed for this purpose [3].

Recent national epidemiological surveys in Brazil have revealed an interesting issue with respect to oral diseases in childhood and adolescence [4, 5]. Notably, in 2010, 12-year-old Brazilian children were found to have, on average, 2.07 teeth with dental caries (active or filled), whereas 15 to 19-year-old adolescents had, on average, 4.25 teeth with caries. Regarding periodontal changes, bleeding on probing (BoP) of the gums were identified in 11.7% of 12 year olds and in 28.4% of adolescents. The presence of shallow and deep pockets was found to be an aggravating factor for these periodontal changes. The prevalence of malocclusion was similar for the two age groups [5]. Given these trends of marked worsening of oral health over an age difference of just 3 years, it is necessary to elucidate the factors underlying these trends to avoid their perpetuation and repercussions in adulthood.

Generally, studies of oral diseases per se have not considered the impacts of oral health problems on daily activities and, by extension, quality of life (QoL). The perceptions of individual patients must be assessed to reveal attitudes about these conditions and the degree of life disruption produced by them [6]. Aimed at elucidating this issue, epidemiological surveys have investigated the perception of the impact of oral diseases on QoL with instruments such as the Oral Impacts on Daily Performance (OIDP) [710]. Surveys have indicated that untreated dental caries and malocclusion are the main problems affecting teenagers [11, 12]. Other factors, such as tooth loss, toothache [8], and bleeding gums have also been reported [10, 13]. The effects of these clinical changes include oral discomfort, functional limitations, impaired school performance, and socialization difficulties, issues that may compromise QoL [13, 14].

Social context, specifically situations of vulnerability, may be related to the perceived impact of oral health on daily activities. Vulnerability is a construct that considers disease responses beyond the realm of pathogenic action. Accordingly, disease exposure likelihood has been linked to individual, collective, and contextual aspects that generate greater susceptibility or greater protection, depending on the availability of resources from different domains [15].

In general, vulnerability among adolescents manifests itself as violence, a lack of quality education, poverty, unemployment, and other social resource limitations that lead to intersubjectivity changes [1618]. The Paulista Social Vulnerability Index (PSVI) [19] was designed to identify specific factors that lead to poverty in communities, with the aim of helping to set priorities for the health care of vulnerable populations. The PSVI considers various social determinants, such as education, health, family composition, access to public goods and services, and incorporation into the labor market. Despite the combination of economic, social, and demographic determinants of oral disease prevalence [20, 21], studies that aimed at identifying the influence of social context on perceived oral health impacts are scarce [10, 22]. Such data would contribute to the analysis of risk groups, mainly for developing public policies that positively affect adolescents’ lives.

The state of São Paulo has a Human Development Index of 0.783 (range, 0–1 from worst to best), which is the second best among Brazilian states and similar to southwestern European countries; the population of the state of São Paulo is similar to that of countries such as Poland, Ukraine, and Spain, and higher than that of Sweden, Portugal, and Belgium [23]. Among 100 Brazilian cities with the best Human Development Indices, 55 are in São Paulo [24]. Notwithstanding, this index is a broad average that does not reflect possible socioeconomic disparities across geographically similar regions. Hence, the aim of this study was to use data from the SB São Paulo 2015 survey to analyze how social vulnerability, independent socio-demographic variables, and oral health status affect perceived QoL in adolescents.

Methods

Study design

This analytical cross-sectional study used the PSVI and secondary data from the 2015 State Survey on Oral Health (SB São Paulo 2015) for 15–19-year-old teenagers.

Sample size and data collection

The state survey was planned and undertaken by agents of the Brazilian Unified Health System at federal, state, and municipal levels, and by Brazilian university staff, through Ministry of Health Collaborating Centers. The aim of the survey was to assess population-wide oral health conditions across different age groups. It sampled six macroregions of São Paulo (including the State Capital, São Paulo metropolitan area, and 15 Health Departments). In the first stage, 178 cities, including the State capital of São Paulo, were designated as primary sampling units (PSUs). In the second stage, the cities were divided into 390 census tracts, including 36 tracts within São Paulo and 2 tracts within each of the remaining 177 cities.

Sampling design was carried out in conglomerates by a two-stage selection procedure with probability of selection being proportional to the population size, comprising 17,560 people in 163 cities, including 5558 participants between 15 and 19 years old. All households in the selected census tracts were contacted and eligible residents were examined and a questionnaire was applied. Those who were absent or refused to participate were excluded. The exhaustion technique with minimum sampling was applied to each PSU. More information on the sample design and the original project can be obtained in the final survey report [25].

In the SB São Paulo survey, demographic data included information on gender, age, and race/skin color, which followed the classification scheme proposed by the Brazilian Institute of Geography and Statistics (IBGE), i.e.,white, brown, black, yellow, and indigenous. Yellow, brown, and indigenous people were grouped into a single category, and the other groups were analyzed separately. Family income as reported by surveyed residents was categorized as ≤R$1500 or >R$1500.

Participants answered the nine-item OIDP questionnaire, which query how daily activities may be affected by oral conditions [7, 9]. The survey included questions aimed at investigating connections among physical, psychological, and social effects, encompassing a variety of issues ranging from eating to social interactions. Response options were: No, Yes, Do not know, and Prefer not to answer; the latter two categories were treated as missing information. The OIDP was analyzed as a dichotomous variable, considering the impact of the presence of at least one of the nine items answered affirmatively.

Dental caries and tooth loss were assessed using the Decayed, Missing, Filled-Teeth (DMF-T) index. The presence of dental caries and tooth loss were categorized as none or at least one decayed or missing tooth. Toothache was determined by the following oral morbidity question: “Did you have a toothache in the last six months?” Responses were categorized as “Yes”, “No”, and “No response”.

The Community Periodontal Index (CPI), which is recommended by the World Health Organization (WHO) for oral health surveys [26] was employed. In this way, the record considered tooth indexes (16, 11, 26, 36, 31, 46) for individuals between 5 and 19 years old. In this study, the presence of BoP and dental calculus were assessed.

Overjet was measured in millimeters and horizontally to the buccal surface of the lower incisors to the incisal edge of the most proclined incisor with CPI probes. Vertical open bite was registered as the distance, also in millimeters, between the edges of the upper and lower incisors. According to the criteria proposed by Gandini et al. [27], the distance (d’) of maxillary overjet was classified as normal (d’ = 0–3 mm), moderate (d’ > 3), or severe (d’ > 6 mm). Vertical open bite severity was classified as mild (distance ≤1 mm), moderate (1–5 mm), and severe (> 5 mm) [28]. Overjet, or anterior crossbite, was considered to be present when distances were > 1 mm.

The São Paulo Legislative institute, in partnership with Fundação Seade, used PSVI data to classify cities into six social vulnerability groups: extremely low, very low, low, medium, high, and very high social vulnerability. This classification scheme takes into consideration indicators that characterize the municipal population, such as population size, average household income, average age of household heads, number of young women responsible for the household, and number of young children (age, 0–5 years) in the total population [19]. For our study, the extremely low and very low PSVI categories were combined into our low group, the medium PSVI category was maintained, and the high and very high PSVI social vulnerability categories were combined into our high group. Data were collected from the public domain government website.

Examiner training and calibration

Two hundred and fifty three work teams (Dentist and Oral Health Assistant) organized by the participating municipalities, participated effectively in the study. Each team was composed by one dentist and one assistant. Field teams were trained in a workshop lasting 16 h, aiming to discuss the plan of work stages, the assignments of each participant and to ensure an acceptable degree of uniformity in the procedures. Thus, only dentists performed clinical examinations (examiners) and applied the questionnaires. Oral health assistants were responsible for filling out clinical information.

Calibration was performed based on the model proposed by the WHO [26]; concordance across examiners was calculated and results were determined by team consensus. The calibration process for groups of 10 dentists had two phases: a) initial phase: presentation of clinical cases and calculation of intra-error (20 cases were presented twice with a 2 h interval) – examiners with K < 0.65 intra-examiner were eliminated from the study and K inter-examiners; b) clinical phase: clinical examinations of people in the age groups studied, and examiners with intra-examiner value less than 0.65 for caries, periodontal disease and malocclusion were eliminated from the study. If the inter-examiner value of the dentists was < 0.65, there was a new calibration round until these values were reached. The mean values were 0.82 for dental caries, 0.76 for periodontal disease and 0.74 for malocclusion.

OIDP is a validated instrument, adapted transculturally [29] and used in Brazilian population-based studies [8, 10, 11]. All teams were trained to apply the questionnaires, in order to assess the level of understanding of the questions, the time of application and operational difficulties. This questionnaire was applied to groups of 3 to 5 people per calibration group during training phase.

Variables

The dependent variable of the study was OIDP score. PSVI data were used to provide context together with other independent variables, such as demographic characteristics (gender, age, skin color), socioeconomic status (family income), and clinical factors (caries, tooth loss, toothache, malocclusion and periodontal changes), as shown in the conceptual model (Fig. 1).
Fig. 1

Conceptual model for the study of association among independent variables and oral health impact on the daily performance (adapted from Peres et al., 2013) [8]. PSVI Paulista Social Vulnerability Index

Data analysis

Sampling weights and conglomerates were considered in data analysis, keeping in mind the complexity of the study sampling design. Data were tabulated using Statistical Package for the Social Sciences v. 20.0 and Microsoft Excel®. A descriptive analysis was performed to obtain absolute and percentual distributions, means, medians, and standard deviations (SDs) of the variables.

A theoretical and conceptual model was used to organize the hierarchical analysis into four blocks. First, bivariate analyses were carried out between OIDP outcome and independent variables outlined in the theoretical and conceptual model. For each block, variables that presented p values < 0.20 were advanced to the next block, until the final model was constructed. The reference category for the binary logistic regression was “having no impact on the performance of daily activities”. A significance level of 5% was the criterion for a statistically significant effect. Odds ratios (ORs) are reported with 95% confidence intervals (CIs).

Ethics

A survey on oral health conditions of the population in the state of São Paulo was approved by the Ethics Committee and Research with Human Beings at FOP UNICAMP in 2015 (no. 1.211.025; CAEE no. 46788215.9.0000.5418). A written informed consent was signed by every person that participated in the survey; parents or responsible guardians also signed consent forms for participants under 18 years old.

Results

Respondents who answered “Does not know” or “did not want to answer” on an OIDP item were excluded (N = 156), leaving a final sample of 5402 adolescents. According to OIDP results, 57.3% of the participants did not have untreated caries, 12.7% had lost at least one tooth due to dental caries, and 27.4% reported experiencing toothache. Overjet, severe open bite, and crossbite affected 2.3, 5.7, and 1.7% of surveyed adolescents, respectively. Periodontally, 33.5% exhibited BoP and 31.4% had dental calculi (Table 1).
Table 1

Description of the independent variables studied in adolescents of São Paulo State (n = 5402)

Variable

n

% (IC95%)

PSVI

 Low

3704

71.3 (61.5; 79.5)

 Medium

1521

23.8 (16.9; 32.4)

 High

177

4.9 (1.4; 15.5)

Gender

 Male

2362

43.4 (40; 46.8)

 Female

3040

56.6 (53.2; 60)

Skin color

 White

3213

60.2 (55.4; 64.8)

 Black

401

7.6 (6.5; 8.9)

 Brown

1788

32.2 (27.8; 37)

Age

 15

1616

28 (25.3; 31)

 16

1016

19.1 (17.4; 20.9)

 17

908

16 (14.2; 17.9)

 18

863

16.8 (15.1; 18.7)

 19

999

20 (17.5; 22.7)

Household income

 Up to 1.500

1909

46.1 (42.1; 50.2)

 Over 1.500

2473

53.9 (49.8; 57.9)

Untreated caries lesions

 None

3149

57.3 (51.7; 62.7)

 At least one

2253

42.7 (37.3; 48.3)

Tooth loss

 None

4694

87.4 (85.1; 89.3)

 More than a tooth loss

708

12.6 (10.7; 14.9)

Toothache

 Yes

3996

72.7 (70; 75.2)

 No

1382

27.3 (24.8; 30)

Maxillary Overjet

 Normal

3250

65.1 (60.6; 69.3)

 Moderate

2013

32.6 (28.6; 36.9)

 Severe

139

2.3 (1.7; 3.1)

Cross Bite

 Absence

5092

94.2 (91.0; 95.9)

 Presence

310

5.8 (4.1; 8.2)

Open Bite

 Mild

4982

92.5 (89.7; 94.6)

 Moderate

329

6 (4.3; 8.2)

 Severe

91

1.5 (0.8; 2.8)

Presence of bleeding

 Yes

1668

32.7 (27.1; 38.8)

 No

3734

67.3 (61.2; 72.9)

Presence of calculus

 Yes

1595

31.4 (25.5; 37.9)

 No

3807

68.6 (62.1; 74.5)

PSVI Paulista social vulnerability index

Table 2

Sample and the quality of life distribution according to variables studied in adolescents from São Paulo (n = 5402)

Variable

Sample distribution

OIDP (95% CI)

n (%)

With impact

No impact

PSVI

 Low

3704 (71.3)

67.2 (54.8; 77.6)

73.8 (964.2; 81.6)

 Medium

1521 (23.8)

25.5 (16.9; 35.9)

22.9 (15.8; 31.9)

 High

177 (4.9)

7.6 (2.1; 23.9)

3.3 (1; 10.4)

 Total of sample

5402 (97.19)

37.3 (33.2–41.6)

62.7 (58.4; 66.8)

Gender

 Male

2362 (43.4)

32.6 (28.9; 36.5)

46.8 (45.3; 54.3)

 Female

3040 (56.6)

67.4 (63.5; 71.1)

50.2 (45.7; 54.7)

Skin color

 White

3213 (60.2)

55.5 (50.4; 60.6)

62.9 (57.3; 68.2)

 Black

401 (7.6)

9.0 (7.0; 11.5)

6.8 (5.5; 8.2)

 Brown

1788 (32.2)

35.4 (31.1; 39.7)

30.3 (24.8; 36.4)

Age

 15

1616 (28)

26.4 (22.8; 30.4)

29 (26.0; 32.2)

 16

1016 (19.1)

17 (14.2; 20.1)

20.4 (18.4; 22.5)

 17

908 (16)

17 (14.0; 20.4)

15.4 (13.4; 17.7)

 18

863 (16.8)

15.2 (13.3; 17.3)

17.9 (15.4; 20.6)

 19

999 (20)

24.5 (19.5; 30.3)

17.3 (15.1; 19.8)

Household income (R$)

 Up to 1.500

1909 (46.1)

50.1 (43.9; 56.2)

43.8 (38.9; 48.8)

 Over 1.500

2473 (53.9)

49.9 (43.8; 56.1)

56.2 (51.2; 61.1)

Untreated caries lesions

 None

3149 (57.3)

45.2 (38.9; 51.7)

64.6 (58.5; 70.2)

 At least one decayed tooth

2253 (42.7)

54.8 (48.3; 61.1)

35.4 (29.8; 41.5)

Tooth loss

 None

4694 (87.4)

82.3 (78.4; 85.6)

90.4 (88.7; 91.8)

 More than one

708 (12.6)

17.7 (14.4; 21.6)

9.6 (8.2; 11.3)

Toothache

 Yes

1382 (27.3)

48.4 (44; 52.9)

14.7 (11.4; 18.8)

 No

3996 (72.7)

51.6 (47.1; 56.0)

85.3 (81.2; 88.6)

Maxillary Overjet

 Normal

3250 (65.1)

60.7 (55.6; 65.5)

67.7 (62.5; 72.5)

 Moderate

2013 (32.6)

36.1 (31.4; 41.0)

30.6 (26.1; 35.5)

 Severe

139 (2.3)

3.2 (2.3; 4.6)

1.7 (1.1; 2.6)

Cross Bite

 Absence

5092 (94.2)

94.0 (91.2; 96)

94.3 (91.6; 96.1)

 Presence

310 (5.8)

6.0 (4.0; 8.8)

5.7 (3.9; 8.4)

Open Bite

 Mild

4982 (92.5)

60.7 (55.6; 65.5)

67.7 (62.6; 72.5)

 Moderate

329 (6.0)

36.1 (31.4; 41.0)

30.6 (26.1; 35.5)

 Severe

91 (1.5)

3.2 (2.3; 4.6)

1.7 (1.1; 2.6)

Presence of bleeding

 Yes

1668 (32.7)

57.5 (51.6; 63.2)

26.8 (20.5; 34.4)

 No

3734 (67.3)

42.5 (36.8; 48.4)

73.2 (65.6; 79.5)

Presence of calculus

 Yes

1592 (31.49)

62 (55.1; 68.5)

27.4 (20.9; 35.0)

 No

3807 (68.6)

38 (31.5; 44.9)

72.6 (65.0; 79.1)

PSVI Paulista social vulnerability index

OIDP Oral impacts on daily performance

Table 3

Bivariate analysis and multiple regression model among independent variables and oral impact on the quality of life in adolescents from São Paulo (n = 5402)

 

Variable

ORa (IC95%)

p a value

ORB (IC95%)

p b value

PSVI

Part 1

 

Low PSVI

1

< 0.01

  
 

Middle PSVI

1.21 (1.21; 1.21)

< 0.01

  
 

High PSVI

2.50 (2.49; 2.51)

< 0.01

  
 

Part 2

Gender

Female

2.05 (2.04, 2.05)

< 0.01

1.78 (1.59; 2.00)

< 0.01

 

Male

1

< 0.01

1

 

Skin Color

White

1

< 0.01

1

< 0.01

 

Black

1.51 (1.51; 1.52)

< 0.01

1.56 (1.25; 1.93)

< 0.01

 

Brown

1.32 (1.32; 1.32)

< 0.01

1.66 (1.47; 1.88)

 

Age group

15–19

1.09 (1.09; 109)

< 0.01

1.04 (1, 1.08)

 
 

Part 3

Family income

Household income (R$)

 

Up to 1.500

1.28 (1.28; 1.29)

< 0.001

1.28 (1.28; 1.29)

< 0.001

 

Over 1.500

1

  

1

 

Part 4

Clinical factors

Untreated caries lesions

 

None

1

< 0.01

1

 
 

At least one decayed tooth

2.11 (1.89; 2.36)

< 0.01

1.42 (1.25; 1.61)

< 0.01

 

Tooth loss

 

None

1

< 0.01

1

 
 

At least one tooth loss

1.87 (1.59; 2.19)

< 0.01

1.49 (1.25; 1.78)

< 0.01

 

Toothache

 

Yes

5.47 (4.80; 6.24)

< 0.01

4.87 (4.25; 5.59)

< 0.01

 

No

1

< 0.01

1

 
 

Maxillary Overjet

 

Normal

1

 

1

 
 

Moderate

1.25 (1.11; 1.40)

< 0.01

1.23 (1.09; 1.40)

0.01

 

Severe

1.80 (1.28; 2.54)

< 0.01

1.68 (1.15; 2.45)

0.006

 

Cross Bite

 

Absence

1

< 0.01

  
 

Presence

0.94 (0.74; 1.20)

0.667

  
 

Open Bite

 

Mild

1

 

1

 
 

Moderate

1.34 (1.07; 1.68)

0.01

1.14 (0.89; 1.47)

0.275

 

Severe

1.28 (0.84; 1.96)

0.239

1.27 (0.80; 2.03)

0.302

 

Presence of bleeding

 

Yes

2.09 (1.86; 2.35)

< 0.01

1.45 (1.25; 1.68)

< 0.01

 

No

1

 

1

 
 

Presence of calculus

 

Yes

2.05 (1.82; 2.31)

< 0.01

1.55 (1,34; 1,80)

< 0.01

 

No

1

 

1

 

PSVI Paulista social vulnerability index

OR a crude odds ratio, OR B adjusted odds ratio

p a value in the Wald test; p b value higher than 0.2 in crude or adjusted analysis

Overall, 37.3% of surveyed adolescents reported that at least one component of their daily activities was impacted by their oral health. This prevalence varied according to respondent characteristics, being higher for those with oral diseases, as well as for females, persons who considered their skin color to be black or brown, 19-year-olds, and those with family income ≤ R$1500 per month (Table 2).

Results of our bivariate analysis and the hierarchical analysis adjustments are described in Table 3. In the crude analysis, all variables, except for crossbite, were associated with a high OIDP score and were included in the adjusted model.

The final model of the multiple logistic regression analysis was adjusted in accordance with each block. The only independent variable that lost its significance status after block-one adjustment was age (p value > 0.2). In block two, gender remained a significant factor, with females reporting a greater impact on OIDP than males (OR 1.78, 95% CI = 1.59–2.00; p < 0.01), as did skin color, with the reported impact higher among adolescents with brown skin (OR 1.66, 95% CI = 1.47–1.88; p < 0.01). In block three, family income was found to be a significant factor, with the reported impact of oral conditions on QoL higher among those with a monthly family income up to R$1500 (OR 1.28, 95% CI = 1.28–1.29; p < 0.01). In different oral disease states allocated in block four, several conditions were found to affect self-perceived QoL of adolescents, including at least one untreated decayed tooth (OR 1.42, 95% CI = 1.25; 1–61; p < 0.01), loss of one or more teeth (OR 1.49 95% CI = 1.25–1.78]; p < 0.01), toothache (OR 4.87, 95% CI = 4.25–5.59; p < 0.01), BoP (OR 1.45, 95% CI = 1.25–1.68; p < 0.01), presence of dental calculus (OR 1.55, 95% CI = 1.34–1; p < 0.01), and severe maxillary overjet (OR 1.68, 95%CI = 1.15–2.45; p < 0.006) (Table 3).

Discussion

In the present study sample, 37.7% of surveyed 15–19-year-olds reported that their oral health had at least some impact on their daily activities, a percentage similar to 39.4% obtained in the SB Brazil 2010 survey [8]. Greater impact, as indexed by the OIDP score, was associated with females, brown skin color, a low household income, and the presence of oral abnormalities.

Our finding of females reporting a higher impact of dental problems on quality of life is consistent with several previous studies [8, 10, 13]. This gender effect may be caused by the fact that girls are more self-critical of their dental appearance and have a lower self-esteem than boys [30]. These characteristics may make girls particularly sensitive to malocclusion and untreated caries [11, 12].

Several research groups have discussed the effects of malocclusion on QoL in adolescents [11, 14, 31], with some attempting to elucidate which kinds of dental positioning problems are most likely to have a negative effect on self-perceived QoL in different age groups [3033]. Crowded teeth affecting smiling had a negative impact as a malocclusion condition [30]. Among 18-year-olds, a severe maxillary overjet (> 5 mm) was reported to be associated with a 3.7 times greater likelihood of seeking intervention related to emotional state [32]. This prior result is consistent with our finding of maxillary overjet remaining a significant factor in the final model of our regression analysis. It is worth mentioning that the SB São Paulo survey criteria for malocclusion included specifically maxillary overjet, cross bite, and open bite, which limits the assessment of other aspects of dentition positioning and esthetics.

The presence of caries, toothache, and tooth loss affected self-reported QoL and is consistent with prior studies [8, 32]. These conditions often lead to discomfort, which may affect social interactions, limit masticatory function, and impair one’s ability to concentrate [15]. Consistent with the present results, Leo et al. [34] found that untreated caries had a negative impact on QoL and social relationships of adolescents in a vulnerable community in the countryside of São Paulo.

Our findings that BoP and the presence of dental calculi were factors associated with impacted daily activities of young people corroborate the findings of Vazquez et al. [10]. The presence of calculi and gingivitis have been reported previously to have consequential psychosocially impacts on whether a person can smile without being embarrassed about his or her teeth and making people not to brush their teeth due to the fear of bleeding gums [15]. A previous research on school-aged children has also linked dental plaque and oral health to a worse QoL [35].

The hypothesis that social vulnerability is associated with oral health impacts on QoL was based on prior evidence indicating that geographical and socio-demographic disparities affect the incidence of oral diseases [21]. Low human development index for the black population has been associated with the prevalence of dental caries, tooth loss, the need for prosthesis, and edentulism [20, 21]. In the present study, PSVI, an assessment of context, was not a significant factor in determining whether adolescents’ daily activities were affected by their oral health. Similarly, a prior social context study on 1172 15–19-year-olds in São Paulo did not find an association between OIDP score and social exclusion [10].

In the Bourdie system, perception is a component of habitus, defined as the socialized norms or tendencies that guide behavior and thinking [36]. Accordingly, perceived QoL may be a product of interactions between the individual and collective biographical experiences, and may transcend economic influences. Regardless, ethnic and socioeconomic issues remain factors in perception. For example, oral health impact on QoL of adolescents was found in one study to be 1.44 times and 2.41 times greater in individuals with brown skin or low income, respectively [8]. This disparity may be related to a lack of access to goods and basic services, in addition to exposure to various risk and behavioral factors, which are dissociable from racial identity per se.

Concepts of oral disease that focus solely on functional and morphological issues are based on a biochemical view of medicine that does not consider the individual holistically [16]. However, oral health problems have effects that go beyond clinical factors. Hence, for us, dentistry should consider aspects of the patient beyond pathology, several of which can be probe with the OIDP.

Understanding adolescents’ perceptions of their oral health conditions can contribute to the development of behavior modification strategies aligned with current health regulations [6]. Habits that can lead to serious dental and gingival changes in adolescents include carelessness with oral hygiene and a cariogenic diet [37, 38]. Young people often do not realize that they need dental treatment until their oral health conditions affect their daily activities. Generally, this segment of the population seeks dental care when they have a problem such as a toothache, rather than seeking preventive care [34]. Therefore, in addition to expanding the provision of dental services, it is important to develop health-promoting educational strategies aimed at teaching teenagers about their needs and strengthening their oral health care proactivity.

When interpreting the effects of this study, it is important to consider its limitations. Because of the cross-sectional design, causal relationships cannot be established, making it difficult to determine whether factors precede or follow associated outcomes. Another possible limitation of the study was that the data were collected by the dentist and not by a trained interviewer. Therefore, having the clinical examiner also administered the questionnaire may be indicative of bias in the information collected. Conversely, this study has notable strengths, including the use of data from a broad-sample survey representative of some 533 million adolescents [39], which makes data relevant for other Brazilian states and other regions and countries with similar characteristics.

Conclusion

The present results indicate that the impact of oral health on adolescents self-perceived QoL is related more to clinical pathological factors than social vulnerability.

The degree of vulnerability of the municipalities in the state of São Paulo did not influence the impact of oral health on daily activities of adolescents. However, the impact of oral health on adolescents’ daily activities was found to be sensitive to socio-demographic determinants (i.e., gender, skin color, and income) and oral clinical variables (i.e., dental caries, tooth loss, periodontal conditions, and malocclusion). These results may contribute to the planning of strategies to improve oral health actions.

Abbreviations

CPI: 

Community Periodontal Index

DMF-T: 

Decayed, Missing, Filled index

IBGE: 

Brazilian Institute of Geography and Statistics

ICF: 

Informed Consent Term

OIDP: 

Oral Impacts on Daily Perfomance

PSU: 

Primary sampling unit

PSVI: 

Paulista Social Vulnerability Index

SD: 

Standard deviation

WHO: 

World Health Organization

Declarations

Acknowledgements

The authors thank Espaço da Escrita – Coordenadoria Geral da Universidade – UNICAMP, for the language services provided, and Write Science Right.

Funding

This study was funded by Foundation for Research Support of the State of São Paulo – FAPESP (grants # 14/50109–1).

Availability of data and materials

The datasets used and analyzed during this study is available from the corresponding author on reasonable request.

Authors’ contributions

Cunha IP, Bulgareli JV, Batista MJ participated in the conception, design, and data collection. Cunha IP, Pereira AC, Frias AC and Cortellazi KL wrote the paper. Meneghim MC and Vieira V participated in the critical review. All authors read and approved the final manuscript.

Ethics approval and consent to participate

Survey on oral health conditions of the population of São Paulo – SB São Paulo-2015 was approved by the Ethics Committee and Research with Human Beings of FOP UNICAMP, with the number 1.211.025 (2015), CAEE number 46788215.9.0000.5418.

Consent for publication

An Informed Consent Term (ICF) was applied and signed by every person examined in the survey. Parents or the person responsible for adolescents under 18 years old have also signed the term.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Community Dentistry, School of Dentistry of Piracicaba, State University of Campinas
(2)
Department of Public Health, Jundiaí Medical School, São Paulo, Brazil
(3)
Faculty of Dentistry, University of São Paulo, São Paulo, Brazil
(4)
The state of São Paulo Secretary of Health

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Copyright

© The Author(s). 2017

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