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BMC Research Notes

Open Access

Early occurrence of childhood dental caries among low literate families

BMC Research Notes201710:366

https://doi.org/10.1186/s13104-017-2698-2

Received: 24 April 2017

Accepted: 26 July 2017

Published: 2 August 2017

Abstract

Objective

The purpose of this cross-sectional study was to identify the oral health status and influencing factors in preschool children in Tabriz, Iran. A total of 756 children from 20% of the total district preschools were selected using a two-step random sampling procedure. Questionnaires were used to collect demographic and socio-economic data. Oral exams were conducted by a single pediatric dentist to assess the children’s oral health, and to determine the number of decayed, missing, and filled teeth (dmft) according to the World Health Organization’s (WHO) definition of caries.

Results

Out of 756 preschool children, 51.5% boys with mean age of years 5.76 (SD = 0.78) were enrolled. The median (25th–75th Pertcentile) of dmft index in boys and girls was 4 (2–9) and 5 (2–8), respectively. Only 15.1% children had decay-free teeth. The results of univariate analysis showed a significant relationship between dmft index and child age (P < 0.001), mother’s years of education (P = 0.001), mother’s employment status (P < 0.001), and family socio-economic status (P < 0.001). On multivariate analysis, statistical significance was found in sex (P = 0.007), age groups except for 5 years (P = 0.210), mother’s education status (P < 0.001) as well as in families with intermediate (P = 0.024), and high (P = 0.072) socio-economic status.

Keywords

Oral healthDental cariesdmft indexPediatric dentistryIran

Introduction

A primary goal of the WHO in 2000 and 2020 was to reduce the prevalence of oral diseases and disabilities and related complications, especially among poor and marginalized populations [13].

Oral health Status is determined by using objective and practical, dmft, index provided by the WHO [1]. Fifty percent reduction in decay prevalence among 5–6 year old children, and fewer than 3 dmft index among children under 12 are specific goals of oral health [1, 4].

Research based on dmft index showed that dental decay starts from early childhood in developed [2, 3] and developing countries [5, 6].

Iran, compared with other countries in the East Mediterranean region, has achieved significant progress, except for oral health, in maternal and child health indicators in recent years [7, 8]. Based on existing evidence, Iranians oral health status has been reported poor [911], particularly among those in low socio-economic state [10]. Because of limited evidence of oral health among children under 7–12 years, it is necessary to develop context based interventions to achieve optimal oral health among children. This study was designed to identify the oral health status and related factors among preschool and kindergarten children in Tabriz; a large city in Iran. It is expected that the findings of this study will be useful in developing and promoting local policies and effective interventions to achieve WHO oral and general health goals.

Main text

Methods

Sample and data collection

After obtaining permission from Tabriz University of Medical Sciences Research Ethics Committee (TBZMED.REC.1394.136), logging in preschools was possible through coordination with the five regional education officials.

Based on the previous studies, the estimated sample size according to the previous studies [12, 13], was 384 (α = 0.05 and β = 0.20). Regarding to the design effect, 768 samples would be sufficient. The stratified random sampling method was used for sampling. First, a full list of pre-schools and kindergartens from five districts of education offices was prepared. Then 15 preschools, 20% out of the district preschools, were randomly selected. All 4–7 year old children from 15 preschools and kindergartens were enrolled for the study. Only 12 children were excluded due to unavailability for data collection, child refusal or lack of parental consent (Additional file 1).

Material and tools

A questionnaire and a consent form were given to each child to take home for their parents to complete. The demographic questionnaire consisted of characteristics such as age, sex, parental occupation and education years and also family socio-economic status. Family affluence scale [14] was applied to determine the socio-economic status of the family. The scale was earlier validated [15] and consisted of variables such as Iranian family belongings, the child’s personal bedroom, television set(s), refrigerator(s), laundry machine(s), dishwasher(s), computer(s), and fixed telephone(s), etc. Responses were categorized from 0 to 3 and more based on the presence or absence of each belonging. The total score of family belongings was 0 to +14 set in 3 groups: poor (<10), medium (11–13) and good (14 and more).

The evaluation of a Childs’ oral health was performed using the dmft index. After obtaining parental consent, oral examination of each child was performed by a single pediatric dentist at the school. Each child was examined using a probe and a mirror upon brushing his or her teeth. The decayed, missing and filled teeth were counted and the number recorded according to WHO optimal indicator as “50 percent decay free teeth among children” [4].

The type of dental decay was defined according to WHO’s definition of dental caries [16]. In the case of observing damage on the smooth surfaces of the teeth or whitened grooves because of underlying emptiness or softness of the enamel, the tooth was considered as a decayed tooth. In addition, each tooth with temporary filling material or filling and caries again was also considered a decayed tooth.

Data analysis

Data were presented using mean (M), standard deviation (SD) and median (25th–75th Percentile) and percentage. To assess the differences between groups, Chi square test and independent sample T test were used for analysis. The Kruskal–Wallis was used to test the differences between the oral health status of children based on dmft index and variables such as child age, mother employment, and family socio-economic status, followed by post hoc tests after adjusting for multiple comparisons by Bonferoni method. The Mann–Whitney U test was used to investigate the differences between dmft index and sex of a child, and maternal education level. A multivariate analysis using quantile regression was used to assess the underlying predictors of dmft (child sex, child age, mother education, mother employment and FAS) (Additional file 2).

Data were analyzed using SPSS15 and STATA11 software and P value of less than 0.05 was considered significant.

Results

Participant characteristics

Out of the 756 preschool children, 51.5% were boys, of mean age 5.76 (SD = 0.78), and the age of mothers was 33 (SD = 5.16). More than half (61.5%) of the mothers had less than 12 years education. Most of the mothers (77.6%) were housewives. Nearly half of the children (44.4%) were in good socio-economic status based on the family property scale (Table 1).
Table 1

Sample characteristics

 

All (n = 756)

Boy (n = 389)

Girl (n = 367)

P value

Child age (years)

n (%)

n (%)

n (%)

0.975*

 4

53 (7.0)

27 (50.1)

26 (49.1)

 5

185 (24.5)

95 (51.4)

90 (48.6)

 6

405 (53.6)

209 (51.6)

196 (48.4)

 7

113 (14.9)

58 (51.3)

55 (48.7)

 M (SD)

5.76 (0.78)

5.76 (0.77)

5.76 (0.79)

Mother education (years)

0.650**

 0–12

465 (61.5)

243 (62.4)

220 (60)

 ≥13

291 (38.5)

146 (37.6)

147 (40)

 M (SD)

12.43 (3.56)

12.24 (3.64)

12.63 (3.45)

Mother employment

0.650**

 Housewife

587 (77.6)

307 (78.9)

280 (76.3)

 Employed out of home

149 (19.7)

73 (18.8)

76 (20.7)

 Employed at home

20 (2.6)

9 (2.3)

11 (3)

FAS

0.002**

 Low (≤10)

255 (33.7)

148 (38)

107 (29.2)

 Intermediate (11–13)

336 (44.4)

149 (38.3)

187 (51)

 High (≥14)

165 (21.8)

92 (23.7)

73 (19.9)

 M (SD)

11.39 (2.93)

11.38 (2.95)

11.46 (2.74)

M (SD) mean (standard deviation), FAS family affluence scale

* P value based on Independent Sample T test

** P value based on Chi square Test

Children oral health status, dmft index and associated factors

The oral health status of preschool children based on median decayed, missing and filled teeth or dmft index was 4 (2–8). The median of the dmft index in boys was 4 (2–9) and in girls 5 (2–8) (Table 2). Univariate analysis showed that there was no significant difference between boys and girls with regard to the dmft index (P = 0.675).
Table 2

Distribution and comparison of dmft index by sex and age groups

 

dmft index Med (25th–75th)

P value

Child sex

 

0.675*

 Boy (51.5%)

4 (2–9)

 Girl

5 (2–8)

Child age (years)

 

<0.001**

 4

2 (0–4)

 5

3 (2–5)

 6

5 (3–9)

 7

8 (4–11)

Mother education (years)

 

<0.001*

 0–12

6 (3–10)

 ≥13

3 (1–6)

 M (SD)

12.63 (3.45)

Mother employment

 

<0.001**

 Housewife

5 (2–9)

 Employed out of home

3 (1–6)

 Employed at home

4.5 (3–9.25)

FAS

 

<0.001**

 Low (≤10)

6 (3–10)

 Intermediate (11–13)

4 (2–7)

 High (≥14)

4 (2–7)

dmft index decay, missing, filled teeth index, Med (25th–75th) median (25th–75th Percentile), M (SD) mean (standard deviation), FAS family affluence scale

* P value based on nonparametric Mann–Whitney U Test

** P value based on nonparametric Kruskal–Wallis Test

The relationship between the dmft index and age of children was significant (P < 0.001) (Table 2). The post hoc analysis indicated that the differences among all the age groups was significant (P < 0.001), except for age groups between 4 and 5 years.

Univariate analysis also showed the significant relationship between mother’s education years and child dmft index (P < 0.001). dmft index was lower in children whose mothers’ education years were more than 12. The post hoc analysis showed that there was significant differences between maternal education under 12 years and over 12 years (adjusted P < 0.001).

According to the results of the current study, there is a significant relationship between the dmft index and socio-economic status, based on the “family property index” (P < 0.001). The post hoc analysis revealed that dmft index was significant among all groups (Table 2).

Only 15.1% of the children had decay free teeth (Table 3).
Table 3

Distribution of dental decay prevalence among pre-school children by sex and age group

Age (years)

All

Boy

Girl

756 (%100)

380 (%51.5)

367 (%48.5)

Dental decay free N (%)

Dental decay ≥1 N (%)

Dental decay free N (%)

Dental decay ≥1 N (%)

Dental decay free N (%)

Dental decay ≥1 N (%)

4

14 (26.9)

38 (73.1)

6 (23.1)

20 (76.9)

8 (30.8)

18 (69.2)

5

41 (22.0)

141 (78.0)

25 (26.0)

71 (74.0)

16 (17.8)

74 (82.2)

6

50 (12.3)

355 (87.7)

28 (13.3)

183 (86.7)

22 (11.3)

172 (88.7)

7

10 (18.8)

103 (91.2)

8 (14.3)

48 (85.7)

2 (3.5)

55 (96.5)

Total

115 (15.2)

641 (84.8)

67 (17.2)

322 (82.8)

48 (13.1)

319 (86.9)

Results of multivariate analysis using quantile regression showed significant relationship between sex (P = 0.007), and age groups except for 5 years old children (P = 0.210), mother education (P < 0.001) and family affluence scale (P = 0.072) (P = 0.024) with dmft, No significant relationship was observed between 5 years old children (P = 0.210), mothers employment (P = 0.38) and dmft index (Table 4).
Table 4

Multivariate analysis of underlying predictors of dmft index

 

Coefficient

95% (CI)

P value

Child sex

 Boy

Referent

 Girl

1.00

(0.27 to 1.73)

0.007

Child age (years)

 4

Referent

 5

1.00

(−0.56 to 2.56)

0.210

 6

2.00

(0.53 to 3.47)

0.008

 7

4.00

(2.31 to 5.69)

<0.001

Mothers education (years)

 0–12

Referent

 ≥13

−2.00

(−2.94 to −1.06)

<0.001

Mother employment

 Housewife

Referent

 Employed out of home

0.00

(−1.11 to 1.11)

1.000

 Employed at home

−1.00

(−3.27 to 1.27)

0.387

FAS

   

 Low (≤10)

Referent

 Intermediate (11–13)

−1.00

(−1.87 to −0.13)

0.024

 High (≥14)

−1.00

(−2.09 to 0.09)

0.072

95% (CI) 95% (confidence interval), FAS family affluence scale

P value based on multivariate analysis by quintile regression

Discussion

The oral health status of preschool children was identified based on dmft index and detected as high sever with specific pattern compared to the WHO criteria [4] in both male and female preschoolers. In this study the dmft index of preschool children in some cases was higher than those of American [17], Turkish [18], Pakestanian [5] and Chinese children [19] but lower than that of Cambodian children [20].

Unfortunately, only 15.2% of preschool children had decay free teeth, that is 17.2% boys and 13.1% girls. These findings are indicative of undesirable situation among Iranian preschoolers compared to the WHO’s optimal indicator as “50 percent decay free teeth among children” [4].

The contribution of demographic characteristics to the dmft index indicates significant effects based on child sex and age groups, mother’s years of education, and socio-economic status based on the family affluence scale.

The results of univariate analysis showed no significant relationship between dmft index and sex, but results of multivariate analysis showed significant relationship (P = 0.007). The findings of this study are consistent with other studies [5, 21], where girls were identified as the most vulnerable groups regarding oral health. It seems that gender difference interferes with the oral health of Iranian preschool children, and thus should influence the development of intervention approaches.

According to the results of this study, older children encountered poorer oral health status. The dmft index, unlike dental caries free value, was significantly higher among older children. This finding is Consistent with Lahore et al’s results, which showed a 33.3% prevalence of caries in 3 years children, 47.6 and 75% in 4 and 5-year-olds [5]. Also, in other developing countries, the dmft index was 1.7, 2.4 and 3.1, among 3, 4 and 5 year old children, respectively [6]. Another study on 14 to 18 years old in Iran showed the same results [22]. According to Pakshier et al. 98.8% of Iranian adults had some degree of decay and teeth loss [23], increased prevalence of dental caries from early ages, which reflects early onset of unhealthy habits and undesirable oral health.

Univariate and multivariate analyses revealed a significant difference between parental characteristics e.g. education years and children dmft index. These findings emphasize on the role of family, especially parents, in establishing early childhood proper health behaviors including oral health. It seems that the highly educated mother may be equipped with proper oral health knowledge and healthy behavior that will in turn affect child’s oral health. Previous studies have confirmed the effect of parental oral health knowledge [19, 22, 24] and practice on children’s oral health [25]. The children of mothers with higher levels of education, normally resulting from higher socio-economic status suffer less from adverse oral health.

The socio-economic status of the family was detected as one of the significant risk factors that affect children’s oral health. The socio-economic status of the family is strongly related with the occupation and income of the parents [2527]. It seems that high dmft index among children from low level socio-economic families may be the results of low income, and low literacy status of the parents. Children from high socio-economic families showed low value dmft index or good and optimal oral health, consistent with previous studies [22, 25, 28]. These findings revealed the importance of family income and the services that health insurance companies render in developing countries such as Iran. To achieve optimal oral health, the initiation of early family and community based intervention programs along with appropriate public dental health insurance are recommended.

Conclusions

The results of the study can be generalized to include all pre-school children in Tabriz city because of efficient sampling and using random sampling method. To combat early occurrence of dental caries (dmft index) aggravating with aging among pre-school children, particularly in low literate families in Iran, requires the development of early contextual and family and community-based interventions and surveillance system to improve children’s oral health followed by general health conditions.

To modify undesirable oral health status among Iranian children requires an overwhelming reform in providing dental health services and insurance facilities from birth to the last stage of life especially among low literacy and socio-economic families.

Dental decay is a progressive process, however, as a measuring index; dmft is a sectional dental status estimator. Thus, to fulfill treatment needs dmft index measurement should be repeated within appropriate time intervals starting from dental eruption. It is recommended that other appropriate indexes be used at alongside dmft index to assess the predictors of oral health among groups with high and/or low degree of dental decay and decay-free ones.

Limitations

  • The application of only one index, dmft, to assess pre-school children oral health status.

  • The dmft index as a sectional estimator does not apply the progressive nature of dental decay.

  • The dmft index as a negative estimator does not show health progress over time.

  • The dmft index does not distinguish the difference in the degree of tooth decay, how high and how low.

Abbreviations

dmft index: 

decayed, missing, and filled teeth index

M (SD): 

mean (standard, deviation)

Med: 

median

P: 

P value

WHO: 

World Health Organization

FAS: 

family affluence scale

Declarations

Authors’ contributions

FKV carried out the demographic and socio-economic data gathering. MS visited children and examined their oral health. MAJ participated in performing statistical analysis. FA helped in drafting and revising the manuscript. BS and LE participated in study designing, drafting, and revising the manuscript. All authors read and approved the final manuscript.

Acknowledgements

Special thanks go to five regional education officials, and preschool and kindergarten staff. We appreciate the children and their parents who sincerely participated in the study.

Competing interests

All authors declare that they have no competing interests.

Availability of data and materials

All data generated or analyzed during this study are included in this published article, [and its Additional files].

Consent to publish

All authors have consented to the publication of the information provided in this manuscript.

Ethical approval and consent to participate

The present findings are updated from an academic research project (MSc. Dissertation: No. B/283/Jan10, 2015 in Health Education and Promotion). The confirmation number issued by the Research Ethic Committee of the Tabriz University of Medical Sciences is (TBZMED.REC.1394.136). All parents of the participants gave their permission and informed written consent for data gathering and oral examination of children.

Funding

This research was funded by the Research and Technology Deputy of Tabriz University of Medical Sciences (No. 5.53.332/17 April 2015).

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Authors’ Affiliations

(1)
Department of Health Education and Promotion, School of Health, Tabriz University of Medical Sciences
(2)
Department of Pediatric Dentistry, School of Dentistry, Tabriz University of Medical Sciences
(3)
Department of Statistics and Epidemiology, School of Health, Tabriz University of Medical Sciences
(4)
Road Traffic Injury Research Center, Tabriz University of Medical Sciences
(5)
Department of Pediatric Dentistry, School of Dentistry, Qazvin University of Medical Science
(6)
Basic Sciences Department, Paramedical School, Tabriz University of Medical Sciences

References

  1. Hobdell M, Petersen PE, Clarkson J, Johnson N. Global goals for oral health 2020. Int Dent J. 2003;53(5):285–8. doi:10.1111/j.1875-595X.2003.tb00761.x/full.View ArticlePubMedGoogle Scholar
  2. Zhang S, Chau AM, Lo EC, Chu C-H. Dental caries and erosion status of 12-year-old Hong Kong children. BMC Public Health. 2014;14 (1):1 http://biomedcental.com/1471-2458/14/7.
  3. Petersen PE, Bourgeois D, Ogawa H, Estupian-Day S, Ndiaye C. The global burden of oral diseases and risks to oral health. Bull World Health Organ. 2005;83:661–9. doi:10.1590/S0042-96862005000900011.PubMedPubMed CentralGoogle Scholar
  4. Petersen PE. Challenges to improvement of oral health in the 21st century—the approach of the WHO Global Oral Health Programme. Int Dental J. 2004; 54:329–43. http://www.who.int/oral_health/publications/orh_idj54_03_petersen.pdf.
  5. Sufia S, Chaudhry S, Izhar F, Syed A, Mirza BA, Khan AA. Dental caries experience in preschool children: is it related to a child’s place of residence and family income? Oral Health Prev Dent. 2011;9 (4):375–9. http://www.ohpd.quintessenz.de/index.php.
  6. Kiwanuka S, Åstrøm A, Trovik T. Dental caries experience and its relationship to social and behavioural factors among 3–5-year-old children in Uganda. Int J paediatr Dent. 2004;14(5):336–46. doi:10.1111/j.1365-263X.2004.00570.x.View ArticlePubMedGoogle Scholar
  7. Grant JP. The State of the World’s Children 1988. UNICEF. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1791914/?page=1.
  8. World Health Organization. World health statistics 2010. WHO. www.who.int/whosis/whostat/2010/en/.
  9. Saied-Moallemi Z, Virtanen J, Tehranchi A, Murtomaa H. Disparities in oral health of children in Tehran, Iran. Eur Arch Paediatr Dent. 2006;7(4):262–4. doi:10.1007/BF03262563.View ArticlePubMedGoogle Scholar
  10. Hessari H, Vehkalahti MM, Eghbal MJ, Samadzadeh H, Murtomaa HT. Oral health and treatment needs among 18-year-old Iranians. Med Princ Practice. 2008;17:302–7. doi:10.1159/000129610.View ArticleGoogle Scholar
  11. Yekaninejad MS, Eshraghian MR, Nourijelyani K, Mohammad K, Foroushani AR, Zayeri F, et al. Effect of a school-based oral health-education program on Iranian children: results from a group randomized trial. Eur J Oral Sci. 2012;120(5):429–37. doi:10.1111/j.1600-0722.2012.00993.x.View ArticlePubMedGoogle Scholar
  12. Gomes MC, Pinto-Sarmento TC, Costa EM, Martins CC, Granville-Garcia AF, Paiva SM. Impact of oral health conditions on the quality of life of preschool children and their families: a cross-sectional study. Health Qual Life Outcomes. 2014;12(1):55. http://www.hqlo.com/content/12/1/55.
  13. Paula JS, Leite IC, Almeida AB, Ambrosano GM, Pereira AC, Mialhe FL. The influence of oral health conditions, socioeconomic status and home environment factors on schoolchildren’s self-perception of quality of life. Health Qual Life Outcomes. 2012;10:6.View ArticlePubMedPubMed CentralGoogle Scholar
  14. Boyce W, Torsheim T, Currie C, Zambon A:The family affluence scale as a measure of national wealth: validation of an adolescent self-report measure. Soc Indic Res. 2006;78(3):473–87. http://linkspringer.com/article/1007/s11205-005-1607-6.
  15. Shokrvash B, Salehi L, Akbari MH, Mamagani ME, Nedjat S, Asghari M, et al. Social support and dairy products intake among adolescents: a study from Iran. BMC Public Health. 2015;15(1):1078.View ArticlePubMedPubMed CentralGoogle Scholar
  16. World Health Organization. Oral health surveys: basic methods. 5th ed. Switzerland: WHO; 2013, p. 73–5. https://books.google.com/books?.
  17. Weyant RJ, Manz M, Corby P. Dental caries status and need for dental treatment of Pennsylvania public school children in grades 1, 3, 9, and 11. J Public Health Dent. 2004;64(3):136–44. doi:10.1111/j.1752-7325.2004.tb02743.x.View ArticlePubMedGoogle Scholar
  18. Namal N, Yuceokur A, Can G. Significant caries index values and related factors in 5–6-year-old children in Istanbul, Turkey. EMHJ. 2009. http://www.who.int/iris/handle/10665/117623.
  19. Wulaerhan J, Abudureyimu A, Bao X-L, Zhao J. Risk determinants associated with early childhood caries in Uygur children: a preschool-based cross-sectional study. BMC Oral Health. 2014;14(1):1.View ArticleGoogle Scholar
  20. Chu C, Wong A, Lo E, Courtel F. Oral health status and behaviours of children in rural districts of Cambodia. Int Dent J. 2008;58(1):15–22. doi:10.1111/j.1875-595X.2008.tb00172.x.View ArticlePubMedGoogle Scholar
  21. Gopal S, Chandrappa V, Kadidal U, Rayala C, Vegesna M. Prevalence and predictors of early childhood caries in 3- to 6-year-old South Indian Children—a cross-sectional descriptive study. Oral Health Prev Dent. 2016;14:267–73. doi:10.3290/J.ohpd.a35619.PubMedGoogle Scholar
  22. Pakpour AH, Hidarnia A, Hajizadeh E, Kumar S, Harrison A-P. The status of dental caries and related factors in a sample of Iranian adolescents. Med Oral Patol Oral Cir Bucal. 2011;16(6):e822–7. doi:10.4317/medoral.17074.View ArticlePubMedGoogle Scholar
  23. Pakshir HR. Oral health in Iran. Int Dent J. 2004;54(S6):367–72. doi:10.1111/j.1875-595X.2004.tb00013.x.View ArticlePubMedGoogle Scholar
  24. Wigen TI, Wang NJ. Parental influences on dental caries development in preschool children. An overview with emphasis on recent Norwegian research. Norsk Epidemiologi. 2012;. doi:10.5324/nje.v22i1.1515.Google Scholar
  25. Thyath MN, Nishad SG, Sharma M, Zaidi I. Impact of socioeconomic status and parental factors on child oral health- a review of literature. J Adv Med Dent Sci Res 2015;3(2):153–7. http://jamdsr.com/htmlissue.php?id=301.
  26. Dusseldorp E, Kamphuis M, Schuller A. Impact of lifestyle factors on caries experience in three different age groups: 9, 15, and 21-year olds. Commun Dent Oral Epidemiol. 2015;43:9–16. doi:10.1111/cdoe.12123/full.View ArticleGoogle Scholar
  27. Foster Page LA, Thomson WM. Caries prevalence, severity, and-year increment, and their impact upon New Zealand adolescents’ oral-health-related quality of life. J Public Health Dent. 2012;72:287–94. doi:10.1111/jphd.2012.72.issue-4/issuetoc.View ArticlePubMedGoogle Scholar
  28. Al-Jewair TS, Leake JL.The prevalence and risks of early childhood caries (ECC) in Toronto, Canada. J Contemp Dent Pract. 2010, 11(5):1–8. http://www.thejcdp.com/journal/view/.

Copyright

© The Author(s) 2017

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