11
Social support and social network as intermediary social determinants of dental caries in adolescents Fontanini H, Marshman Z, Vettore M. Social support and social network as intermediary social determinants of dental caries in adolescents. Community Dent Oral Epidemiol 2014. © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd. Abstract Objective: The aim of this study was to investigate the association between intermediary social determinants, namely social support and social network with dental caries in adolescents. Methods: An adapted version of the WHO social determinants of health conceptual framework was used to organize structural and intermediary social determinants of dental caries into six blocks including perceived social support and number of social networks. A cross-sectional study was conducted with a representative sample of 542 students between 12 and 14 years of age in public schools located in the city of Dourados, Brazil in 2012. The outcome variables were caries experience (DMFT 1) and current dental caries (component D of DMFT 1) recorded by a calibrated dentist. Individual interviews were performed to collect data on perceived social support and numbers of social networks from family and friends and covariates. Multivariate Poisson regressions using hierarchical models were conducted. Results: The prevalence of adolescents with caries experience and current dental caries was 55.2% and 32.1%, respectively. Adolescents with low numbers of social networks and low levels of social support from family (PR 1.47; 95% CI = 1.012.14) were more likely to have DMFT 1. Current dental caries was associated with low numbers of social networks and low levels of social support from family (PR 2.26; 95% CI = 1.154.44). Conclusion: Social support and social network were influential psychosocial factors to dental caries in adolescents. This finding requires confirmation in other countries but potentially has implications for programmes to promote oral health. Humberto Fontanini 1 , Zoe Marshman 2 and Mario Vettore 2 1 Family Health Strategy, Municipal Health Secretariat of Dourados Dourados, Brazil, 2 Unit of Dental Public Health, School of Clinical Dentistry, University of Sheffield Sheffield, UK Key words: dental caries; social support, social network, social determinants of health, psychosocial factors Mario V. Vettore, Unit of Dental Public Health, School of Clinical Dentistry, University of Sheffield, Claremont Crescent, Sheffield, S10 2TA, UK Tel.: +44-0114-2265325 Fax: +44-0114-2717843 e-mail: m.vettore@sheffield.ac.uk Submitted 7 March 2014; accepted 15 October 2014 Dental caries remains a public health problem in most countries not only because of its high prev- alence but also because of its impact on overall well-being and quality of life (13). Until recently, most research has focused on the indi- vidual behavioural risk factors of dental caries. However, this does not take into account the underlying social, economic and environmental aspects related to the distribution of the disease (1, 4, 5). Societal processes and socioeconomic character- istics are considered the underlying determinants of oral health because they can influence proximal risk factors of oral diseases, such as shaping oral health-related behaviours and modifying lifestyle (46). The importance of structural and intermedi- ary social determinants of dental caries in children and adolescents has been well established (4, 710). The World Health Organization Commission on the Social Determinants of Health (CSDH) doi: 10.1111/cdoe.12139 1 Community Dent Oral Epidemiol All rights reserved Ó 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd

Social support and social network as intermediary social determinants of dental caries in adolescents

Embed Size (px)

Citation preview

Social support and socialnetwork as intermediary socialdeterminants of dental caries inadolescents

Fontanini H, Marshman Z, Vettore M. Social support and social network asintermediary social determinants of dental caries in adolescents. CommunityDent Oral Epidemiol 2014. © 2014 John Wiley & Sons A/S. Published by JohnWiley & Sons Ltd.

Abstract – Objective: The aim of this study was to investigate the associationbetween intermediary social determinants, namely social support and socialnetwork with dental caries in adolescents. Methods: An adapted version of theWHO social determinants of health conceptual framework was used toorganize structural and intermediary social determinants of dental caries intosix blocks including perceived social support and number of social networks. Across-sectional study was conducted with a representative sample of 542students between 12 and 14 years of age in public schools located in the city ofDourados, Brazil in 2012. The outcome variables were caries experience(DMFT ≥ 1) and current dental caries (component D of DMFT ≥ 1) recorded bya calibrated dentist. Individual interviews were performed to collect data onperceived social support and numbers of social networks from family andfriends and covariates. Multivariate Poisson regressions using hierarchicalmodels were conducted. Results: The prevalence of adolescents with cariesexperience and current dental caries was 55.2% and 32.1%, respectively.Adolescents with low numbers of social networks and low levels of socialsupport from family (PR 1.47; 95% CI = 1.01–2.14) were more likely to haveDMFT ≥ 1. Current dental caries was associated with low numbers of socialnetworks and low levels of social support from family (PR 2.26; 95% CI = 1.15–4.44). Conclusion: Social support and social network were influentialpsychosocial factors to dental caries in adolescents. This finding requiresconfirmation in other countries but potentially has implications forprogrammes to promote oral health.

Humberto Fontanini1, Zoe Marshman2

and Mario Vettore2

1Family Health Strategy, Municipal Health

Secretariat of Dourados Dourados, Brazil,2Unit of Dental Public Health, School of

Clinical Dentistry, University of Sheffield

Sheffield, UK

Key words: dental caries; social support,social network, social determinants ofhealth, psychosocial factors

Mario V. Vettore, Unit of Dental PublicHealth, School of Clinical Dentistry,University of Sheffield, Claremont Crescent,Sheffield, S10 2TA, UKTel.: +44-0114-2265325Fax: +44-0114-2717843e-mail: [email protected]

Submitted 7 March 2014;accepted 15 October 2014

Dental caries remains a public health problem in

most countries not only because of its high prev-

alence but also because of its impact on overall

well-being and quality of life (1–3). Until

recently, most research has focused on the indi-

vidual behavioural risk factors of dental caries.

However, this does not take into account the

underlying social, economic and environmental

aspects related to the distribution of the disease

(1, 4, 5).

Societal processes and socioeconomic character-

istics are considered the underlying determinants

of oral health because they can influence proximal

risk factors of oral diseases, such as shaping oral

health-related behaviours and modifying lifestyle

(4–6). The importance of structural and intermedi-

ary social determinants of dental caries in children

and adolescents has been well established (4, 7–10).The World Health Organization Commission

on the Social Determinants of Health (CSDH)

doi: 10.1111/cdoe.12139 1

Community Dent Oral EpidemiolAll rights reserved

� 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd

developed a conceptual framework demonstrating

how structural determinants of health inequities

(e.g. socioeconomic position, income and occupa-

tion) shape intermediary determinants, including

material and psychosocial circumstances, behavio-

ural and biological factors and health services,

which in turn shape health outcomes (11). While

some research has investigated the aetiology of

dental caries by examining behavioural and biolog-

ical factors (4, 6–8), there has been a paucity of

research exploring the links between psychosocial

circumstances such as social network and social

support and inequalities in dental caries and how

these specific intermediary determinants relate to

other intermediary and structural determinants of

dental caries in adolescents.

Social networks can be defined as the web of

identified social relationships that surround an

individual and the characteristics of those linkages.

It is the set of people with whom one maintains

social contact or some form of social bond that may

offer help or support in a variety of situations (12).

Social networks are considered the structure

through which social support is provided. Social

support refers to the perceived available resources

from people who individuals trust and on whom

they can rely (13). Social support is also related to

individual’s perceptions of the degree to which

social relations offer different forms of resources

(functions) such as material aid or emotional sup-

port (12, 14). Social networks and social support

have been associated with psychological and

physical well-being, self-esteem, performance at

school and use of dental services during adoles-

cence (15, 16).

The possible influence of social support and

social networks on oral health has mainly been

investigated in adults and older people (17–23).Few studies have evaluated the association

between social networks and social support and

oral health in adolescents (24, 25). Poor self-rated

oral health was predicted by socioeconomic char-

acteristics and untreated dental caries but not by

emotional and network support in a large sample

of Brazilian school adolescents (24). In another

study involving 1451 adolescents attending sec-

ondary schools in East London, multivariate analy-

sis showed that social support was negatively

related to caries (25). No study has assessed the

possible role of social support and social networks

as intermediary determinants of health on dental

caries in adolescents within the social determinants

of health conceptual framework.

The aim of this study was to investigate the asso-

ciation of social support and social network with

adolescents’ dental caries using an adapted version

of the WHO social determinants of health concep-

tual framework.

Methods

Study design and populationA cross-sectional study was carried out in the city

of Dourados, Brazil in 2012. Data were collected

through individual interviews and dental clinical

examinations of adolescents as well as from infor-

mation provided by questionnaires completed by

their parents. The study was approved by the

Committee of Ethics and Research of the National

School of Public Health – Oswaldo Cruz Founda-

tion (Protocol no. 0297.0.031.000-11). All partici-

pants and their parents provided informed consent

to participate in the study.

The inclusion criteria to take part in the study

were adolescents between 12 and 14 years of age

(born between 1998 and 2000) at the time of study

enrolled in public schools located in the urban area

in the city of Dourados, Brazil. All eligible students

were invited to take part in the study.

Dourados is a middle-size city with a population

of 196 035 inhabitants located in the Central-West

geographical region of Brazil, along the border with

Paraguay. It is a predominantly urban developed

city with Human Development Index of 0.788 and

with moderate level of income inequality as the

GINI Index was 0.460. Adolescents between 12 and

14 years old represent 8.82% of the population and

97.2% of them were regularly enrolled in schools

according to the 2010 Brazilian National Census.

The city has had fluoridated public water since 1992.

Theoretical frameworkA theoretical framework was adapted from WHO

Conceptual Framework for Action on the Social

Determinants of Health (11) (Fig. 1). The indepen-

dent variables were classified into the two hierarchi-

cal levels. The structural level of social determinants

of health was composed of variables related to

family socioeconomic position and demographic

characteristics of the adolescents. Intermediary

determinants were material circumstances, oral

health-related behaviours and psychosocial factors

and dental healthcare system. The explanatory vari-

ables social support and social network were consid-

ered psychosocial factors at the intermediary level.

2

Fontanini et al.

Sampling and power calculationsThe sample size was estimated as 495 adolescents

based on the prevalence of 69% of caries, consider-

ing DMFT > 1 (26) to detect a 8% of the differences

between groups, design effect of 1.5, with a signifi-

cance level of 5% and power of 95% (27). A study

with 15% of nonacceptance rate required 569

participants.

The sample was recruited in two stages to

ensure representativeness with respect to all urban

public schools of the city; these were considered

the primary units of selection (PUS). There are 66

public-funded schools for adolescents between 12

and 14 years of age. Of them, 21 were initially

excluded as they were located in nonurban areas

of the city. On average, there are 1.5 classes per

school and approximately 20 students per class

for this age group. In the first stage, a random

sample of 18 from the 45 schools located in the

urban area of the city was drawn without replace-

ment, considering the proportional probability to

the population size of the corresponding school.

The list of schools containing the pre-established

age group selected for this study was obtained

from the schools’ directors after formal agreement.

These 18 schools, secondary units of selection,

were randomly selected to ensure disaggregation

of schools considered for recruitment and repre-

sentativeness of PUS. In the second stage, a sys-

tematic sample of 30 school classes, tertiary units

of selection, was selected from those containing

students between 12 and 14 years of age. In this

stage, all individuals recruited across each school

class were approached for interview.

Dental caries assessment and groups ofcomparisonDental caries was assessed using the DMFT index

(28). Two binary outcomes related to dental caries

were considered in this study: at least one tooth

with current carious lesion or previous caries

experience (DMFT ≥ 1) and at least one tooth with

current carious lesion (component D of

DMFT ≥ 1).

Perceived social supportPerceived social support is a theoretical construct

based on the cognitive appraisal of one’s connec-

tions to others. The central aspect of perceived

social support is that not all social connectedness

between individuals results in social support. In

addition, the level of confidence and availability of

support when it is required by the individual are

core elements of perceived social support (29). The

validated version of Social Support Appraisals

(SSA) questionnaire for Brazilian adolescents was

used to assess social support. SSA questionnaire

focuses on the different sources of support and

consists of 30 items comprising 4 dimensions of

social support: ‘friends’, ‘teachers’, ‘family’ and

‘others’ (30, 31). In this study, the dimensions ‘fam-

ily’ and ‘friends’ of social support were used

because they are related to the social networks

investigated.

The participants were then categorized into three

equal groups according to tertiles of the social sup-

port score. Friends social support: low (from 0 to

32), moderate (from 33 to 35) and high (36 and

over); family social support: low (from 0 to 41),

moderate (from 42 to 44) and high (45 and over).

Social networkSocial network is the ‘web’ of social connectivity

and their characteristics surrounding the individ-

ual, including contacts with friends and relatives

(32). The Brazilian version of the social network

Medical Outcomes Study (MOS) questionnaire

was used to evaluate social networks (33). The ori-

ginal version was tested with adolescents because

it was developed for adults. No changes were

needed. The questionnaire to assess social net-

works consisted of two questions on the person’s

Fig. 1. Theoretical model for the study ofstructural and intermediary social deter-minants of dental caries in adolescents(Adapted fromWHO 2010).

3

Social support, social network and caries

relationships with family and friends. The adoles-

cents were asked to state how many family mem-

bers and friends they feel comfortable with and

who they can talk to about almost everything. The

participants were categorized into three equal

groups according to tertiles of the number of

friends and family social networks as follows: low

(from 0 to 1), moderate (2) and high (3 or more).

CovariatesDemographic data included adolescents’ sex and

ethnicity. Ethnicity was based on self-perception of

skin colour (White; Yellow; Indigenous; Brown;

Black). Family socioeconomic and material circum-

stances were obtained from parental-completed

structured questionnaires. All questionnaires were

returned, and 75% of the participants were moth-

ers. The variables included years of schooling of

the parent (0–4 years; 5–8 years; 9 or more years),

family income [less than 1 Brazilian Minimal Wage

(BMW); 1 to 4 BMW; more than 4 BMW] – one

BMW corresponded to US$ 245.00 in 2012 (stan-

dard value) – and house ownership (own; rented;

borrowed).

The oral health-related behaviours assessed were

frequency of toothbrushing (do not brush teeth; 1

time per day; 2 times per day; 3 times per day) and

number of days eating sweets during the last week

(none; 1 to 3 days; 4 to 6 days; all days). The sweets

listed in the questionnaire included sweet biscuits,

crackers, candies and chocolate bars. Information

about dental health care included time since last

dental visit (<1 year; 1 to 2 years; > 2 years) and

offer of dental treatment within the school (yes; no).

Calibration and assessment of reliabilityOne examiner was calibrated in the use of DMFT

index. Kappa coefficients for DMFT and its compo-

nents were DMFT = 0.709, D = 0.728, M = 1.00

and F = 0.927.

The internal consistency and reliability of the

social support scale and its dimensions were evalu-

ated by the Cronbach’s a coefficient and intraclass

correlation coefficient (ICC). The Cronbach’s a for

social support subscales ‘friends’ and ‘family’ was,

respectively, 0.859 and 0.714. ICC for the social

support subscales ‘friends’ ‘and ‘family’ was,

respectively, 0.992 (95% CI 0.980–0.997) and 0.994

(95% CI 0.985–0.998).

Statistical analysisThe frequencies of independent variables were pre-

sented for the whole sample and according to the

two dental caries outcomes: DMFT ≥ 1 and compo-

nent D of DMFT ≥ 1. The comparison of social sup-

port and social network between family income

groups was assessed using chi-square test.

Unadjusted associations between independent

variables related to structural and intermediary

determinants and dental caries were estimated

through prevalence ratio and 95% confidence inter-

vals (CI). The interaction between family and

friends social support and social network on dental

caries was tested. Evidence of interaction was

found for both outcomes when regression models

with and without the interaction terms were com-

pared using likelihood ratio tests (DMFT ≥ 1,

P = 0.0446 and component D of DMFT ≥ 1,

P = 0.0204).

Multivariate Poisson regression using hierarchi-

cal models was used to test the association of

Table 1. Demographic and socioeconomic characteris-tics, psychosocial factors (social network and social sup-port) of the participants

Variables N (%)

Demographic and socioeconomic characteristicsAge12 years 185 (31.5)13 years 196 (39.8)14 years 161 (28.7)SexMale 274 (55.1)Female 268 (44.9)EthnicityWhite 169 (24.0)Yellow 4 (2.2)Indigenous 15 (4.5)Brown 328 (64.4)Black 26 (4.9)Family income<1 BMW 91 (13.1)1 to <4 BMW 412 (81.5)4 to 6 BMW 39 (5.4)

Psychosocial factorsNumber of social network of familyLow (0 to 1) 134 (18.2)Moderate (2) 165 (32.4)High (3 or more) 243 (49.3)Number of social network of friendsLow (0 to 1) 164 (29.8)Moderate (2) 114 (18.3)High (3 or more) 264 (51.9)Social support from familyLow (1st tertile) 200 (35.9)Moderate (2nd tertile) 220 (47.2)High (3rd tertile) 122 (16.9)Social support from friendsLow (1st tertile) 200 (50.1)Moderate (2nd tertile) 190 (27.3)High (3rd tertile) 152 (22.6)

4

Fontanini et al.

Table 2. Unadjusted association of structural and intermediary social determinants with DMFT and dental caries

Decayedteeth = 0 N (%)

Decayedteeth ≥ 1 N (%) PR 95% CI

DMFT = 0N (%)

DMFT ≥ 1N (%) PR 95% CI

Structural determinantsFamily socioeconomic conditionsYears of schooling of the respondent≥9 170 (46.2) 82 (47.2) 1 114 (46.9) 138 (46.2) 15 to 8 164 (44.6) 62 (35.6) 0.84 (0.64–1.11) 109 (44.9) 117 (39.1) 0.95 (0.80–1.12)0 to 4 34 (9.2) 30 (17.2) 1.44 (1.05–1.98)* 20 (8.2) 44 (14.7) 1.26 (1.03–1.53)*

Family income4 to 6 BMW 31 (8.4) 8 (4.6) 1 19 (7.8) 20 (6.7) 11 to <4 BMW 281 (76.4) 131 (75.3) 1.55 (0.82–2.92) 190 (78.2) 222 (74.2) 1.05 (0.76–1.45)<1 BMW 56 (15.2) 35 (20.1) 1.88 (0.96–3.67) 34 (14.0) 57 (19.1) 1.22 (0.87–1.72)

Demographic characteristicsSexMale 191 (51.9) 83 (47.7) 1 125 (51.4) 149 (49.8) 1Female 177 (48.1) 91 (52.3) 1.12 (0.88–1.43) 118 (48.6) 150 (50.2) 1.03 (0.88–1.20)EthnicityWhite 121 (32.9) 48 (27.6) 1 83 (34.2) 86 (28.8) 1Yellow 3 (0.8) 1 (0.6) 0.88 (0.16–4.89) 3 (1.2) 1 (0.3) 0.49 (0.09–2.70)Indigenous 10 (2.7) 5 (2.9) 1.17 (0.55–2.50) 5 (2.1) 10 (3.3) 1.31 (0.89–1.93)

Brown 220 (59.8) 108 (62.0) 1.16 (0.87–1.54) 143 (58.8) 185 (61.9) 1.11 (0.93–1.32)Black 14 (3.8) 12 (6.9) 1.63 (1.01–2.62)* 9 (3.7) 17 (5.7) 1.29 (0.94–1.76)

Intermediary determinantsMaterial circumstancesType of houseOwn 289 (78.5) 130 (74.8) 1 198 (81.5) 221 (73.9) 1Rented 58 (15.8) 30 (17.2) 1.10 (0.80–1.52) 35 (14.4) 53 (17.7) 1.14 (0.94–1.38)Borrowed 21 (5.7) 14 (8.0) 1.29 (0.84–1.98) 10 (4.1) 25 (8.4) 1.35 (1.08–1.70)*

Psychosocial factorsSocial support and social networkNumber of social networks of familyHigh (3 or more) 183 (49.7) 60 (34.5) 1 125 (51.4) 118 (39.5) 1Moderate (2) 109 (29.6) 56 (32.2) 1.38 (1.01–1.87)* 74 (30.5) 91 (30.4) 1.14 (0.94–1.37)Low (0 to 1) 76 (20.7) 58 (33.3) 1.75 (1.31–2.35)* 44 (18.1) 90 (30.1) 1.38 (1.16–1.65)*

Number of social networks of friendsHigh (3 or more) 193 (52.5) 71 (40.8) 1 124 (51.1) 140 (46.8) 1Moderate (2) 74 (20.1) 40 (23.0) 1.31 (0.95–1.80) 56 (23.0) 58 (19.4) 0.96 (0.78–1.19)Low (0 to 1) 101 (27.4) 63 (36.2) 1.43 (1.08–1.89)* 63 (25.9) 101 (33.8) 1.16 (0.98–1.37)Social support from familyHigh (3rd tertile) 88 (23.9) 34 (19.5) 1 57 (23.5) 65 (21.7) 1Moderate (2nd tertile) 156 (42.4) 64 (36.8) 1.04 (0.73–1.49) 114 (46.9) 106 (35.5) 0.90 (0.73–1.12)Low (1st tertile) 124 (33.7) 76 (43.7) 1.36 (0.97–1.91) 72 (29.6) 128 (42.8) 1.20 (0.99–1.46)Social support from friendsHigh (3rd tertile) 101 (27.4) 51 (29.2) 1 72 (29.6) 80 (26.8) 1Moderate (2nd tertile) 143 (38.9) 47 (27.0) 0.74 (0.53–1.03) 98 (40.4) 92 (30.8) 0.92 (0.75–1.14)Low (1st tertile) 124 (33.7) 76 (43.8) 1.13 (0.85–1.51) 73 (30.0) 127 (42.4) 1.21 (1.01–1.45)*

Health-related behavioursToothbrushing frequency≥3 times/day 206 (56.0) 91 (52.3) 1 142 (58.4) 155 (51.8) 12 times per day 136 (37.0) 68 (39.1) 1.09 (0.84–1.41) 83 (34.2) 121 (40.5) 1.14 (0.97–1.33)Once a day 23 (6.2) 13 (7.5) 1.18 (0.74–1.88) 15 (6.2) 21 (7.0) 1.12 (0.83–1.50)Do not brush teeth 3 (0.8) 2 (1.1) 1.31 (0.44–3.87) 3 (1.2) 2 (0.7) 0.77 (0.26–2.26)Number of days eating sweets during the last weekNone day 43 (11.7) 12 (6.9) 1 32 (13.2) 23 (7.7) 11 to 3 days 135 (36.6) 61 (35.0) 1.43 (0.83–2.45) 89 (36.6) 107 (35.8) 1.31 (0.93–1.83)4 to 6 days 93 (25.3) 48 (27.6) 1.56 (0.90–2.71) 60 (24.7) 81 (27.1) 1.37 (0.98–1.94)All days 97 (26.4) 53 (30.5) 1.62 (0.94–2.79) 62 (25.5) 88 (29.4) 1.40 (1.01–1.97)*

Healthcare systemLast dental visit< 1 year 252 (73.9) 100 (59.2) 1 172 (77.1) 180 (62.7) 11 to 2 years 80 (23.5) 58 (34.3) 1.08 (0.70–1.68) 43 (19.3) 95 (33.1) 0.90 (0.66–1.23)

5

Social support, social network and caries

structural and intermediary determinants with the

outcomes (34). Prevalence ratio (PR) with 95% CI

and P values were estimated. Stepwise forward

selection of variables in six blocks was conducted

according to the theoretical framework (Fig. 1)

(11). The first block included family socioeconomic

position variables (family income and years of

schooling of the parents) and the second block con-

sisted of demographic characteristics of the adoles-

cent (gender and ethnicity). The third and fourth

blocks included material circumstances (house

ownership) and oral health-related behaviours (fre-

quency of toothbrushing and frequency of inade-

quate diet). Psychosocial factors (social support

and social network) composed the fifth block, and

dental health system (time since last dental visit

and dental treatment offered within the school)

was the sixth block. Independent variables of each

block were adjusted for each other and those that

remained significant at 20% (P < 0.20) were

retained in the analysis for adjustment (34). This

approach reduces the discrepancy between the

data and the model to reach an economic model

with few parameters (35).

Sample weights were used to adjust for sam-

pling complexity. Weighted data were obtained by

using a complex sample plan and were submitted

to the complex samples analysis in SPSS version

22.0 for Windows (SPSS Inc., Chicago, IL, USA).

Results

Of the 18 schools randomly selected, one was

replaced because the head of the school did not

agree to participate. Initially, 569 students from 30

school classes were invited to participate in the

study. The nonresponse rate was 4.8% (N = 27)

resulting in a sample of 542 adolescents between

12 and 14 years of age.

The prevalence of adolescents with at least one

tooth with caries experience (DMFT ≥ 1) and at

least one decayed tooth with current carious lesion

(component D of DMFT ≥ 1) was 55.2% and 32.1%,

respectively. The mean DMFT and decayed teeth

of the sample were 2.20 (SD = 1.92) and 1.17

(SD = 0.68). Adolescents’ social support and social

network did not differ between family income

groups (P > 0.05).

Demographic and socioeconomic characteristics

and information on social support and social net-

work of the participants are presented in Table 1.

The frequency of individuals in the age groups and

sex categories was similar and in terms of ethnicity

Table 2 Continued

Decayedteeth = 0 N (%)

Decayedteeth ≥ 1 N (%) PR 95% CI

DMFT = 0N (%)

DMFT ≥ 1N (%) PR 95% CI

3 or more years 9 (2.6) 11 (6.5) 1.48 (1.14–1.91)* 8 (3.6) 12 (4.2) 1.35 (1.16–1.57)*

Dental treatment offered within the schoolYes 143 (38.9) 55 (31.6) 1 98 (40.3) 100 (33.4) 1No 225 (61.1) 119 (68.4) 1.25 (0.95–1.63) 145 (59.7) 199 (66.6) 1.15 (0.97–1.35)

*P-value ≤ 0.05.

Table 3. Crude associations between social support, social network and dental caries

Decayed teeth ≥ 1 PR 95% CI DMFT ≥ 1 PR 95% CI

Social network (SN) and social support (SS) from familyHigh numbers of SN + High level SS 1 1Moderate numbers of SN + Moderate level SS 1.33 (0.61–2.88) 0.99 (0.64–1.56)Moderate numbers of SN + Low level SS 2.61 (1.32–5.16)* 1.61 (1.10–2.35)*

Low numbers of SN + Moderate level SS 2.37 (1.18–4.79)* 1.41 (0.94–2.11)Low numbers of SN + Low level SS 2.49 (1.25–4.98)* 1.66 (1.14–2.43)*

Social network (SN) and social support (SS) from friendsHigh numbers of SN + High level SS 1 1Moderate numbers of SN + Moderate level SS 0.81 (0.42–1.54) 0.74 (0.48–1.13)Moderate numbers of SN + Low level SS 1.50 (0.90–2.51) 1.06 (0.75–1.50)Low numbers of SN + Moderate level SS 1.17 (0.70–1.97) 1.12 (0.83–1.51)Low numbers of SN + Low level SS 1.46 (0.93–2.30) 1.30 (1.10–1.69)*

*P-value ≤ 0.05.

6

Fontanini et al.

Table 4. Multivariate Poisson regression between social support, social network and DMFT ≥ 1 adjusted for covariates(prevalence ratio and 95% confidence intervals)

Model 1PR 95% CI

Model 2PR 95% CI

Model 3PR 95% CI

Model 4PR 95% CI

Model 5PR 95% CI

Model 6PR 95% CI

Structural determinants

Family socioeconomic conditions

Years of schooling of the respondent

≥ 9 1 1 1 1 1

5 to 8 0.92 (0.78–1.10) 0.92 (0.77–1.09) 0.90 (0.76–1.07) 0.89 (0.75–1.06)* 0.95 (0.80–1.13)

0 to 4 1.19 (0.96–1.48)* 1.19 (0.97–1.47)* 1.16 (0.94–1.44)* 1.13 (0.91–1.40) 1.12 (0.90–1.40)

Family income

4 to 6 BMW 1

1 to <4 BMW 1.06 (0.76–1.47)

<1 BMW 1.19 (0.83–1.72)

Demographic characteristics

Sex

Male 1

Female 1.01 (0.87–1.18)

Ethnicity

White 1 1 1 1

Yellow 0.50 (0.09–2.84) 0.51 (0.09–2.95) 0.62 (0.11–3.46) 0.63 (0.13–3.20)

Indigenous 1.28 (0.86–1.90) 1.25 (0.85–1.85) 1.30 (0.86–1.96) 1.16 (0.81–1.68)

Brown 1.11 (0.93–1.33) 1.11 (0.93–1.33) 1.11 (0.93–1.33) 1.08 (0.90–1.29)

Black 1.26 (0.92–1.73)* 1.24 (0.90–1.72)* 1.25 (0.91–1.71)* 1.16 (0.84–1.61)

Intermediary determinants

Material circumstances

Type of house

Own 1 1 1 1

Rented 1.13 (0.93–1.37)* 1.13 (0.93–1.35) 1.16 (0.96–1.39)* 1.13 (0.93–1.36)

Borrowed 1.32 (1.05–1.66)** 1.35 (1.07–1.70)** 1.38 (1.09–1.75)** 1.45 (1.15–1.84)**

Health-related behaviours

Toothbrushing frequency

≥3 times/day 1

2 times per day 0.84 (0.28–2.54)

Once a day 1.07 (0.80–1.42)

Do not brush teeth 1.11 (0.94–1.29)

Number of days eating sweets during the last week

None day 1 1 1

1 to 3 days 1.34 (0.96–1.88)* 1.36 (0.97–1.89)* 1.35 (0.99–1.84)*

4 to 6 days 1.36 (0.97–1.92)* 1.42 (1.02–1.99)** 1.43 (1.04–1.96)**

All days 1.39 (1.00–1.95)* 1.37 (0.99–1.91)* 1.38 (1.01–1.90)*

Psychosocial factors

Social network (SN) and social support (SS) from family

High numbers of SN + High level SS 1 1

Moderate numbers of SN + Moderate level SS 0.95 (0.61–1.48) 0.91 (0.59–1.41)

Moderate numbers of SN + Low level SS 1.45 (1.01–2.15)** 1.44 (0.99–2.08)*

Low numbers of SN + Moderate level SS 1.34 (0.88–2.02)* 1.32 (0.89–1.97)*

Low numbers of SN + Low level SS 1.49 (1.02–2.20)** 1.47 (1.01–2.14)**

Social network (SN) and social support (SS) from friends

High numbers of SN + High level SS 1 1

Moderate numbers of SN + Moderate level SS 0.71 (0.47–1.08) 0.67 (0.45–1.01)

Moderate numbers of SN + Low level SS 1.00 (0.70–1.42) 0.97 (0.68–1.38)

Low numbers of SN + Moderate level SS 1.05 (0.78–1.43) 1.02 (0.76–1.39)

Low numbers of SN + Low level SS 1.22 (0.93–1.60)* 1.13 (0.86–1.49)

Healthcare system

Last dental visit

<1 year 1

1 to 2 years 0.88 (0.65–1.20)

3 or more years 1.32 (1.13–1.54)**

Dental treatment offered within the school

Yes 1

No 1.10 (0.94–1.30)

*P-value < 0.20.**P-value ≤ 0.05.

7

Social support, social network and caries

64.4% were Brown. Only 5.4% of the sample had

family income ≥4 Brazilian minimal wages. Nearly

half of the sample reported three or more social

networks from family and friends. Around 36%

and 50% of the individuals were classified as with

low levels of social support from family and

friends, respectively (Table 1).

Table 2 presents the unadjusted associations of

structural and intermediary social determinants,

including social support and social network, with

dental caries. Low years of schooling of the parents,

lower numbers of social networks from family and

longer time since last dental visit were more com-

mon for both dental caries outcomes. Black ethnicity

and lower numbers of social networks from friends

were associated with current dental caries. Individ-

uals with caries experience had worse material cir-

cumstances, lower levels of social support from

friends and a more cariogenic diet. Sex, levels of

social support from family, frequency of tooth-

brushing and offer of dental treatment within the

school were similar across groups (Table 2).

Table 3 includes the crude analysis on the associ-

ation between interaction terms of social support

and social network from family and friends with

dental caries. In that analysis, adolescents with

high levels of social support and higher numbers

of social networks were the reference category.

Moderate and low levels of social support and

social networks from family were associated with

current dental caries while adolescents with lower

levels of social support and low numbers of social

networks from family and friends were more likely

to have previous caries experience.

Poisson hierarchical models investigated the asso-

ciation of social support and social network from

family and friends with DMFT (Table 4). In models

1 and 2, family socioeconomic conditions and

demographic variables were not associated with

DMFT. Type of housing (borrowed house) in Model

3 and cariogenic diet in Model 4 predicted DMFT

and remained associated with DMFT afterwards.

The prevalence of DMFT ≥ 1 was significantly

higher for adolescents with moderate social net-

work and low social support from family and low

social network and low social support from family

(Model 5). In the final model (Model 6), low num-

bers of social networks and low levels social sup-

port from family were associated with DMFT ≥ 1

(PR 1.47; 95% CI = 1.01–2.14). Time since last dental

visit was also associated with DMFT.

Table 5 summarizes the same analyses for cur-

rent dental caries (component D of DMFT ≥ 1).

Family socioeconomic conditions, demographic

variables, material circumstances and health-

related behaviours were not associated with cur-

rent dental caries (Models 1, 2, 3 and 4). Moderate

and low social network and social support from

family increased the prevalence of current decayed

tooth in Models 5 and 6. Individuals with low

numbers of social networks and moderate levels of

social support from family (PR 2.24; 95%

CI = 1.13–4.41), those with moderate numbers of

social networks and low levels of social support

(PR 2.42; 95% CI = 1.25–4.68) and those with low

numbers of social networks and low levels of social

support (PR 2.26; 95% CI = 1.15–4.44) from family

were more likely to have dental caries. Time since

last dental visit was also associated with current

dental caries in the final model.

Discussion

In the present study, adolescents with low num-

bers of social networks and low levels of social

support from family had more current dental car-

ies as well as more caries experience. Therefore,

social support and social networks from family

were psychosocial factors related to dental caries in

adolescents. The stratified analysis illustrated the

modifying effect of social support. The prevalence

of current dental caries was higher among adoles-

cents with lower levels of social networks of family

with lower levels of social support compared with

those with higher levels of social support. The

combined effect of low levels of social support and

low numbers of social networks of family appears

to be relevant for the occurrence of dental caries. In

addition to that, inadequate use of oral health care

was also associated with caries.

There are potential direct and indirect mecha-

nisms that explain the influence of lower levels of

social support and social network on oral health

outcomes. Direct pathways suggest that oral dis-

eases can be affected by social support and social

network through psychological mechanisms. They

operate through cognitive and emotional processes

including the development and strengthening of

trust, well-being, self-efficacy, social integration,

self-steem and mutual cooperation (36, 37).

Behavioural pathways have been implicated in the

indirect effects of unsupportive social connections

and oral health. Oral health-related behaviours in

adolescents (e.g. smoking and eating a more cario-

genic diet) are strongly related to social influence

8

Fontanini et al.

Table 5. Multivariate Poisson regression between social support, social network and decayed teeth ≥1 adjusted for cova-riates (Prevalence ratio and 95% Confidence Intervals)

Model 1PR 95% CI

Model 2PR 95% CI

Model 3PR 95% CI

Model 4PR 95% CI

Model 5PR 95% CI

Model 6PR 95% CI

Structural determinants

Family socioeconomic conditions

Years of schooling of the respondent

≥ 9 1 1 1 1 1 1

5 to 8 0.79 (0.60–1.06)* 0.77 (0.58–1.03)* 0.76 (0.57–1.02)* 0.77 (0.57–1.02)* 0.81 (0.61–1.08)* 0.80 (0.60–1.06)*

0 to 4 1.31 (0.92–1.85)* 1.23 (0.86–1.76) 1.21 (0.84–1.73) 1.19 (0.83–1.72) 1.16 (0.79–1.69) 1.16 (0.79–1.71)

Family income

4 to 6 BMW 1 1 1 1 1 1

1 to < 4 BMW 1.60 (0.91–3.80)* 1.51 (0.78–2.93) 1.48 (0.77–2.86) 1.51 (0.78–2.92) 1.46 (0.77–2.79) 1.49 (0.79–2.78)*

<1 BMW 1.86 (0.91–3.80)* 1.77 (0.86–3.64)* 1.79 (0.88–3.66)* 1.78 (0.87–3.65)* 1.72 (0.85–3.48)* 1.80 (0.89–3.61)*

Demographic characteristics

Sex

Male 1

Female 1.08 (0.85–1.38)

Ethnicity

White 1 1 1 1 1

Yellow 0.93 (0.15–5.70) 0.96 (0.16–5.79) 1.08 (0.17–6.94) 1.05 (0.28–3.98) 0.94 (0.25–3.62)

Indigenous 1.08 (0.54–2.15) 1.07 (0.53–2.13) 1.10 (0.55–2.21) 1.04 (0.52–2.06) 0.93 (0.48–1.80)

Brown 1.13 (0.85–1.50) 1.13 (0.84–1.50) 1.11 (0.83–1.49) 1.06 (0.79–1.41) 1.03 (0.77–1.37)

Black 1.52 (0.92–2.49)* 1.52 (0.92–2.51)* 1.53 (0.94–2.50)* 1.42 (0.88–2.30)* 1.35 (0.84–2.16)

Intermediary determinants

Material circumstances

Type of house

Own 1

Rented 1.09 (0.79–1.50)

Borrowed 1.27 (0.83–1.96)

Health-related behaviours

Toothbrushing frequency

≥3 times/day 1

2 times per day 1.08 (0.84–1.40)

Once a day 1.12 (0.70–1.77)

Do not brush teeth 1.30 (0.35–4.84)

Number of days eating sweets during the last week

None day 1 1 1

1 to 3 days 1.42 (0.83–2.47) 1.46 (0.88–2.43)* 1.42 (0.86–2.35)*

4 to 6 days 1.52 (0.88–2.65)* 1.58 (0.95–2.65)* 1.56 (0.94–2.60)*

All days 1.56 (0.90–2.69)* 1.56 (0.94–2.57)* 1.50 (0.91–2.47)*

Psychosocial factors

Social network (SN) and social support (SS) from family

High numbers of SN + High level SS 1 1

Moderate numbers of SN + Moderate level SS 1.30 (0.60–2.82) 1.35 (0.64–2.87)

Moderate numbers of SN + Low level SS 2.42 (1.22–4.81)** 2.42 (1.25–4.68)**

Low numbers of SN + Moderate level SS 2.19 (1.09–4.42)** 2.24 (1.13–4.41)**

Low numbers of SN + Low level SS 2.28 (1.13–4.58)** 2.26 (1.15–4.44)**

Social network (SN) and social support (SS) from friends

High numbers of SN + High level SS 1

Moderate numbers of SN + Moderate level SS 0.82 (0.42–1.57)

Moderate numbers of SN + Low level SS 1.22 (0.72–2.07)

Low numbers of SN + Moderate level SS 1.07 (0.65–1.76)

Low numbers of SN + Low level SS 1.25 (0.79–1.99)

Healthcare system

Last dental visit

<1 year 1

1 to 2 years 0.97 (0.63–1.5)

3 or more years 1.41 (1.09–1.83)**

Dental treatment offered within the school

Yes 1

No 1.18 (0.90–1.53)

*P-value < 0.20.**P-value ≤ 0.05.

9

Social support, social network and caries

from friends and relatives and access to material

goods and resources (38, 39).

The association of poor social support and low

numbers of social networks with oral conditions

has been consistently highlighted (17–25). How-

ever, little attention has been placed on the possible

influence of social relationships on dental caries as

most of the previous studies focused on subjective

oral health outcomes (17, 21, 23, 24). Furthermore,

adults and elderly people have been the most

investigated population groups in this topic and

few studies have involved adolescents. Early stud-

ies assessed the association between social support

and oral health in adolescents and reported differ-

ent findings (24, 25). Emotional and network sup-

port were not associated with poor self-rated oral

health in Brazilian adolescents (24). Similar to our

findings, social support was related to caries expe-

rience (25). Nevertheless, social support from a

special person was more important for the absence

of dental caries compared to family and friends.

However, the terminology ‘special person’ is non-

specific and can represent a variety of forms of

social connectedness.

Positive aspects of this study include the use of

the WHO social determinants of health concep-

tual framework (11) and the hierarchical model-

ling regressions. Thus, the nature and hierarchy

of the predictors for dental caries were consid-

ered in the data analysis. Social support was

assessed using a valid instrument for the studied

population. The limitations of this study include

the cross-sectional design, which restricts causal

inferences. Recruiting adolescents from public

schools might affect the generalizability of our

findings resulting in a homogeneous sample from

low socioeconomic background. In addition, the

WHO social determinants of health conceptual

framework (11) were not fully addressed in the

present study because contextual socioeconomic

and political determinants were not assessed.

This study was also subject to information bias

because frequency of tooth brushing; diet and

dental attendance are information that requires

memory and some notion of quantity, which

might be influenced by the age of the group

investigated. The questionnaire used to assess

social networks was originally developed and

tested in adults and adapted for adolescents in

this study (33). Although the validity of the social

networks measures might be questionable, the

positive association between social support and

social network and dental caries suggests that at

least there is low probability of nondifferential

bias.

Based on our findings, potential recommenda-

tions for programmes to improve the oral health of

adolescents can be suggested. Psychosocial inter-

ventions focusing on enhancing social networks

from family and strengthening the social support

from relatives may bring benefits to oral health.

Nonetheless, such interventions should be devel-

oped based on appropriate psychological theories

and tested to confirm their benefits to oral health.

However, as levels of social support and numbers

of social networks are influenced by aspects of cul-

ture, further research in other countries should be

conducted to confirm our findings.

This is the first study to evaluate the combined

effect of social support and social networks on den-

tal caries and to report the modifying effect of

social support. This finding is expected and theo-

retically plausible because social support and

social network are interconnected. Furthermore,

the different types of social support are embedded

within an individual’s social networks, and social

networks is the way the social support can be

expressed and perceived (13, 40). Our findings sug-

gest that adolescents’ oral health is independently

influenced by the number of social networks from

family as well as by the levels of perceived social

support originated from family networks.

References1. Petersen PE, Bourgeois D, Ogawa H, Estupinan-Day

S, Ndiaye C. The global burden of oral diseases andrisks to oral health. Bull World Health Organ2005;83:661–9.

2. Nurelhuda NM, Ahmed MF, Trovik TA, �AstrømAN. Evaluation of oral health-related quality of lifeamong Sudanese schoolchildren using Child-OIDPinventory. Health Qual Life Outcomes 2010;23:152.

3. Krisdapong S, Prasertsom P, Rattanarangsima K,Sheiham A. Sociodemographic differences in oralhealth-related quality of life related to dental cariesin thai school children. Community Dent Health2013;30:112–8.

4. Locker D. Deprivation and oral health: a review.Community Dent Oral Epidemiol 2000;28:161–9.

5. Watt RG. Emerging theories into the social determi-nants of health: implications for oral healthpromotion. Community Dent Oral Epidemiol2002;30:241–7.

6. Baelum V. Dentistry and population approaches forpreventing dental diseases. J Dent 2011;39(Suppl. 2):S9–19.

7. Gratrix D, Holloway P. Factors of deprivation associ-ated with dental caries in young children. Commu-nity Dent Health 1994;11:66–70.

10

Fontanini et al.

8. Amstutz R, Rozier G. Community risk indicatorsfor dental caries in young children: an ecologicstudy. Community Dent Oral Epidemiol 1995;23:129–37.

9. Peres MA, de Oliveira Latorre Mdo R, Sheiham A,Peres KG, Barros FC, Hernandez PG et al. Social andbiological early life influences on severity of dentalcaries in children aged 6 years. Community DentOral Epidemiol 2005;33:53–63.

10. Antunes JL, Peres MA, de Campos Mello TR, Wald-man EA. Multilevel assessment of determinants ofdental caries experience in Brazil. Community DentOral Epidemiol 2006;34:146–52.

11. WHO. A conceptual framework for action on thesocial determinants of health. World Health Organi-zation: Geneva; 2010.

12. Bowling A Measuring social networks and socialsupport. In: Bowling A, editor. Measuring health: areview of quality of life measurements scales, 2ndedn. Buckingham: Open University, 1997; 91–109.

13. Berkman LF, Kawachi I. Social epidemiology. NewYork: Oxford University Press, 2000.

14. Due P, Holstein B, Lund R, Modvig J, Avlund K.Social relations: network, support and relationalstrain. Soc Sci Med 1999;48:661–73.

15. Harter S, Waters P, Whitesell NR. Relational self-worth: differences in perceived worth as a personacross interpersonal contexts among Adolescents.Child Dev 1998;69:756–66.

16. Wentzel KR. Social relationships and motivation inmiddle school: the role of parents, teachers, andpeers. J Educ Psychol 1998;90:202–9.

17. Petersen PE, N€ortov B. General and dental health inrelation to life-style and social network activityamong 67-year-old Danes. Scand J Prim Health Care1989;7:225–30.

18. Hanson BS, Liedberg B, Owall B. Social network,social support and dental status in elderly Swedishmen. Community Dent Oral Epidemiol 1994;22:331–7.

19. Aida J, Hanibuchi T, Nakade M, Hirai H, Osaka K,Kondo K. The different effects of vertical social capi-tal and horizontal social capital on dental status: amultilevel analysis. Soc Sci Med 2009;69:512–8.

20. Aida J, Kuriyama S, Ohmori-Matsuda K, HozawaA, Osaka K, Tsuji I. The association betweenneighborhood social capital and self-reported den-tate status in elderly Japanese – The OhsakiCohort 2006 Study. Community Dent Oral Epi-demiol 2011;39:239–49.

21. Furuta M, Ekuni D, Takao S, Suzuki E, Morita M,Kawachi I. Social capital and self-rated oral healthamong young people. Community Dent Oral Epi-demiol 2012;40:97–104.

22. Sabbah W, Tsakos G, Chandola T, Newton T, Kaw-achi I, Sheiham A et al. The relationship betweensocial network, social support and periodontal dis-ease among older Americans. J Clin Periodontol2011;38:547–52.

23. Lamarca GA, Leal Mdo C, Leao AT, Sheiham A,Vettore MV. Oral health related quality of life inpregnant and post partum women in two social net-work domains; predominantly home-based and

work-based networks. Health Qual Life Outcomes2012;10:5.

24. Pattussi MP, Olinto MT, Hardy R, Sheiham A. Clini-cal, social and psychosocial factors associated withself-rated oral health in Brazilian adolescents. Com-munity Dent Oral Epidemiol 2007;35:377–86.

25. Bernab�e E, Stansfeld SA, Marcenes W. Roles of dif-ferent sources of social support on caries experienceand caries increment in adolescents of East London.Caries Res 2011;45:400–7.

26. Brasil. Minist�erio da Sa�ude/SAS. Projeto SB-Brasil2003: condic�~oes de sa�ude bucal da populac�~ao brasile-ira 2002-2003. Bras�ılia, DF: Minist�erio da Sa�ude; 2004.

27. Fleiss JL. Statistical Methods for rates and propor-tions. New York: John Wiley & Sons, 1981; 2.

28. World Health Organization. Oral health surveys – basicmethods. Geneva: World Health Organization, 1997.

29. Streeter CL, Franklin C. Defining and MeasuringSocial Support: guidelines for Social Work Practitio-ners. Res Soc Work Pract 1992;2:81–98.

30. Vaux A, Philips J, Holly L, Thompson B, Williams D,Stewart D. The social support appraisals (SSA) scale:studies of reliability and validity. Am J CommunityPsychol 1986;14:195–220.

31. Squassoni CE, Matsukura TS. Suporte Social:Adaptac�~ao Transcultural do Social SupportAppraisals e Desenvolvimento Socioemocional deCrianc�as e Adolescentes. Dissertac�~ao apresentada aoprograma de p�os-graduac�~ao em Educac�~ao Especialda Universidade Federal de S~ao Carlos – UFSCar,2009; P�ag. 211.

32. Berkman L, Syme S. Social networks, host resistanceand mortality: a nine year follow-up study of Ala-meda County residents. Am J Epidemiol1979;109:186–204.

33. Chor D, Griep R, Lopes C, Faerstein E. Medidas derede e apoio social no Estudo Pr�o-Sa�ude: pr�e-testes eestudo piloto. Cad Saude Publica 2001;17:887–96.

34. Victora CG, Huttly SR, Fuchs SC, Olinto MTA. Therole of conceptual frameworks in epidemiologicalanalysis: a hierarchical approach. Int J Epidemiol1997;26:224–7.

35. Kleinbaum DG. Epidemiologic research: principlesand quantitative methods. California: LifetimeLearning Publications, 1982.

36. Umberson D. Family status and health behaviors:social control as a dimension of social integration.J Health Soc Behav 1987;28:306.

37. Phongsavan P, Chey T, Bauman A, Brooks R, SiloveD. Social capital, socio-economic status and psycho-logical distress among Australian adults. Soc SciMed 2006;63:2546–61.

38. Sisson KL. Theoretical explanations for socialinequalities in oral health. Community Dent Oral Ep-idemiol 2007;35:81–8.

39. Berkman LS, Glass T. Social integration, social net-works, social support, and health. In: Marmot M,Wilkinson RG, editors. Social determinants of health.London, UK: Oxford University Press, 2006; 137–73.

40. McDowell I. Measuring health: a guide to ratingscales and questionnaires. New York: OxfordUniversity Press, 2006.

11

Social support, social network and caries