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. 2012 Oct 10;9(10):3540–3574. doi: 10.3390/ijerph9103540

Table 1.

Study characteristics and results reported from cross-sectional studies.

Authors, year Country Location of data collection Total number of respondents (Final sample size) Subjects’ age (years) Caries index Socioeconomic indicator Other measures Association between socioeconomic indicators and dental caries Newcastle-Ottawa scale
Nikias et al., 1975 [28] USA Clinical setting 1,290 (1,122) 19+ years Decayed teeth Status: poverty and non-poverty Gender, age, edentulousness, soft tissue lesions, gingival status, oral hygiene levels, visit to dentist, frequency of brushing Poverty and more dental caries 5 (9)
Mean (p < 0.05) *
Number of decayed teeth: none, 1-2, 3 or more
Hansen, 1977 [29] Norway Clinical setting 177 (117) 35 years DMFT Years of schooling Gender Less schooling and more dental caries 6 (9)
Decayed teeth (≤10 and >10)
Mean (p > 0.05) *
Meyer et al., 1983 [30] Portugal Clinical setting 73 (73) 21 to 30 years DMFT Lower socioeconomic status (manual laborers) and higher socioeconomic status (the first three classes of students graduating from the new dental school in Lisbon) Periodontal Index, gender, oral hygiene Lower socioeconomic status and lower DMFT =15.9 ± 6.3, 10.0 ± 5.0 6 (9)
DMFS
Mean
DMFS = 42.6 ± 25.0, 24.1 ± 15.3
(p < 0.05) *
Tervonen et al., 1991 [31] Finland Not reported 1,600 (883) 25, 35, 50 years Number of decayed teeth Years of education: university level, college, vocational school, compulsory, secondary school, less than 6 years of junior high school. Periodontal disease, age, gender, number of teeth, regularity of attendance for treatment, attitude to preservation of teeth, and others. Less schooling and more decayed teeth 7 (9)
(p < 0.05) **
(D < 7 or ≥7)
OR = 1.12 (1.03–1.20)
Marcenes & Sheiham, 1992 [32] Brazil Subjects’ homes 164 (164) 35 to 44 years DMFS Socioeconomic status by ABA-ABIPEME Periodontal status, age, frequency of brushing, sugar consumption, frequency of dental care, mental demand of work, marital quality, and others Lower socioeconomic status and greater DMFS 7 (9)
Mean
(p < 0.05) *
(p > 0.05) **
Eriksen et al., 1996 [33] Portugal Clinical setting 322 (196) 30 to 39 years Number of decayed surfaces-DS Social class: class 1, class 2 and class 3 Smoking, psychological status, eating between meals, tooth cleaning (OHI-S), brushing frequency, interdental cleaning, use of fluoridated toothpaste, gender, regular dental visits, and others Lower social class and more decayed surfaces 6 (9)
Years of schooling: ≤10 and >10
(p > 0.05) *
DS = 12.6 ± 11.1, 12.4 ± 11.6, 15.7 ± 13.2
Mean
Less schooling and more decayed surfaces
(p > 0.05) *
DS = 14.5 ± 12.7, 11.7 ± 10.8
Berset et al., 1996 [34] Norway Dental Faculty, University of Oslo 178 (121) 35 years DMFS Social class: low, medium, high Oral hygiene, brushing frequency, use of fluoride toothpaste, saliva secretion, mutans strep., gender, dental visits, and others Low social class and carious surfaces 7 (9)
Mean
Years of schooling: ≤12 and >12
(p < 0.001)*
(3.4 ± 4.1, 1.1 ± 1.1, 1.3 ± 1.5)
Finances: no/minor/major problems
<12 years of schooling and higher number of carious surfaces
(p < 0.01) *
(3.1 ± 3.8, 1.4 ± 1.8)
Unsatisfied with own economic status and carious surfaces
(p < 0.01) *
(1.5 ± 2.0, 1.6 ± 1.3, 4.4 ± 4.5)
Variation in decayed surfaces could be explained by social class, economic condition and others
(R2 = 0.35) **
Hescot et al., 1997 [35] France Exam carried out on clusters (transport-able dental chair) 1,000 (1,000) 35 to 44 years DMFT and decayed teeth (DT) Occupational group: high, medium, low (derived from the combination of occupational activity, educational level and household income) Gender, residence (urban, rural), one or more surface fillings, treatment need (pulp care, extraction or other treatment) Lower occupational group and more decayed teeth 6 (9)
Mean
(p > 0.05) *
DT = 0.9 ± 1.8, 1.2 ± 2.2, 1.3 ± 2.0
Schuller, 1999 [36] Norway Not reported Evaluation of two sample groups in 1983 (945 (796)) and 1994 (702 (454)) 23 to 24 years Decayed and filled surfaces (DFS) Years of education: ≤12 and ≥13 Gender, residence (urban, rural), time since last dental visit, type of dental clinic, use of dental service, treatment received, oral hygiene score, and others Less schooling and more decayed and filled surfaces in both years analyzed 6 (9)
Mean
(p < 0.05) *
(1983 = 40.7, 37.0)
(1994 = 22.3, 15.6)
Sgan-Cohen et al., 1999 [37] Israel Clinical setting of military institute 1,300 (1,084) 25 to 44 years DMFT Years of education: <12, 12 and >12 Gender, age Less schooling and more decayed teeth 6 (9)
Decayed teeth (DT)
Mean
(p < 0.001) *
DT = 1.75 ± 2.4, 1.53 ± 2.2, 0,89 ± 1.4
(p < 0.001) **
Number of years of education with the D component-Rb = −0.16
Unell et al., 1999 [38] Örebro and Östergötland(Sweden) Not reported 6,343 (513) 50 years and older Decayed and filled teeth Occupational status: white-collar workers in leading positions, white-collar workers, entrepreneurs, blue-collar workers Marital status, gender, residence (rural, town, city), working hours, general self-perceived health, mouth dryness, tobacco user, satisfied with dental care, use of dental services, and others Lower occupational status and more decayed teeth 7 (9)
Decayed teeth (DT)
Education: college, high school/grammar school,
(p < 0.05) **
secondary education, primary education
Less schooling and more decayed teeth
(p < 0.05) **
Brodeur et al., 2000 [40] Canada Not reported 4,742 (2,110) 35 to 44 years DMFT/DMFS Family income: Last visit to a dentist, gender, number of teeth in mouth, language spoken, age, area of residence (metropolitan, urban, rural), and others Lower income and more decayed 7 (9)
Decayed surfaces (crown and root) DS less than $30,000, $30,000 to $59,999, $60,000 and greater (ref.)
Mean (p < 0.05) *
Number of decayed surfaces: ≤3 and ≥4 Education: primary/high school, vocational training/college, university (ref.) <$30,000-DS = 2.6 ≥$60,000-DS = 0.9
(p < 0.05) **
OR = 3.8 (2.19–6.48)
2.9 (1.72–4.86)
Less schooling and more decayed surfaces (p < 0.05) *
Primary-DS = 2.3
University-DS = 1.3
(p > 0.05) **
OR = 1.2 (0.79–1.81)
1.1 (0.69–1.71)
Doughan et al., 2000 [41] Lebanon Clinical setting 401 (401) 35 to 44 years DMFT Socioeconomic status: low, middle, high Gender, residence (urban, rural), treatment need Worse socioeconomic status and more decayed teeth 7 (9)
Decayed teeth- DT
Mean
(p < 0.05) *
DT = 5.7 ± 5.7, 4.0 ± 4.7, 2.2 ± 2.8)
Skudutyte et al., 2000 [42] Lithuania Clinical setting 767 (380) 35 to 44 years DMFT/DMFS Education: low, medium, high Gender, residence (urban, rural), fluoridated water, oral hygiene index (OHI-S) Less schooling and more decayed teeth 6 (9)
Decayed teeth-DT
Decayed surfaces
Mean/Median
(p < 0.05) *
DT = 3.0, 2.0, 1.0
Paulander et al., 2003 [45] Sweden Clinical setting 588 (588) 35 and 50 years DMFS Education: low and high Number of teeth, probing attachment level, periodontal treatment needs, prevalence of dental caries, dietary habits, and others Less schooling and more DS 6 (9)
Decayed surfaces-DS
Mean
(p > 0.05) *
35 years-
DS = 1.3 (−0.2–2.7)
0.5 (−0.3–1.1)
50 years-
DS = 0.4 (0.2–0.6)
0.4 (0.1–0.7)
Senna et al., 2005 [47] Italy Clinical setting of a military institute 3,661 (2,908) 19 to 25 years DMFT Educational level: completed college or graduate school, high school, secondary school and primary school Gingival and periodontal status Less schooling and more decayed teeth 5 (9)
Decayed teeth-DT
Mean
(p < 0.05) *
DT = 0.7 ± 1.2, 1.0 ± 1.4, 1.5 ± 1.9, 1.9 ± 1.9
Badel et al., 2006 [12] Croatia Clinical setting of a military institute 248 (248) 19 to 29 years DMFT Schooling in 3 categories: primary, secondary, university Sugar intake Less schooling and more decayed teeth 6 (9)
Decayed teeth
(quartile cutoffs: Q25, Q50 and Q75%)
(p < 0.05) *
Q75% = 5, 4, 1.5
Julihn et al., 2006 [48] Sweden Clinical setting 800 (696) 19 years DMFS Educational level of father: ≤9 years, 10–12 years, >12 years Gender, chronic disease, country of birth, years living in Sweden, oral hygiene, attitude toward dental care, dental fear, gingival bleeding index (GBI), and others Less education of the father and more decayed surfaces 7 (9)
<10 and ≥10
Occupational status of mother and father: unemployed, laborer, white-collar worker
(p < 0.01) *
(p > 0.05) **
Worse occupation of the father and more decayed surfaces
(p < 0.01) *
(p > 0.05) **
Worse occupation of the mother and more decayed surfaces
(p < 0.01) *
(p > 0.05) **
Varenne et al., 2006 [49] Burkina Faso Subjects’ homes 493 (493) 35 to 44 years DMFT Occupation: shop keeper, government employee, smallholder/craftsman, housewife, farmer/breeder(ref.) Gender, ethnical group, dental visits, use of chewstick, consumption of fresh fruits, location (urban, rural), and others Government employee and higher DMFT 7 (9)
Mean
Absence/presence of caries
Educational level: high, moderate, low
(p < 0.05) **
OR = 5.26
High educational level and higher CPOD
(p < 0.05) **
OR = 2.99
Hessari et al., 2007 [51] Iran Non-specific 8,301 (8,301) 35 to 44 years DMFT Level of education: illiterate, low, medium, high Gender, place of residence (urban, rural) Less schooling and more decayed teeth 7 (9)
Decayed teeth-DT
Mean
(p < 0.05) *
Men-DT = 2.7 ± 2.7, 2.8 ± 2.6, 2.4 ± 2.7, 1.9 ± 2.4
Women-DT = 2.8 ± 2.7, 2.8 ± 2.8, 1.9 ± 2.4, 1.9 ± 2.6
Roberts-Thomson & Stewart, 2008 [52] Australia Clinical setting 1,261(644) 20 to 24 years DMFS Tertiary education (yes or no) Gender, country of birth, living at home, visit in last 2 years, usual reason for visit, site of last visit, brushing, current smoker, alcohol use, and others Less schooling and more cavitated caries (p > 0.05) * 7 (9)
Decayed surfaces-DS Employed (yes or no)
Mean Income (<$20,000 or $20,000 or more)
DMFS modified by Protocol of US National Institute of Dental Research: precavitated decayed surface
Government benefits (yes or no)
DS = 0.64 ± 3.00, 1.06 ± 2.55
Unemployed and more cavitated caries (p < 0.05) *
Mean
DS = 0.64 ± 1.47, 1.16 ± 5.83
(p < 0.05) **
Lower income and more cavitated caries (p > 0.05) *
DS = 0.94 ± 3.18, 0.85 ± 2.18
Receiving benefits and more cavitated caries (p < 0.05) *
DS = 1.68 ± 4.94, 0.70 ± 1.76
(p > 0.05) **
Skudutyte-Rysstad et al., 2009 [54] Norway Clinical setting 149 (149) 35 years DMFT Education: no university or university Gender, marital status, region of birth, dental anxiety score, frequency of brushing, use of dental floss, dental visits, time since last dental visit, smoking Less schooling and more decayed surfaces 6 (9)
DMFS Household income (NOK/year):
Decayed surfaces on dentin (≥2 and <2)-DS ≤299,000 (low),
300,000–599,000 (medium) and ≥600,000 (high)
(p < 0.05) *
Lower income and more decayed surfaces
(p < 0.05) *
(p < 0.05) **
DS-OR = 4.5 (1.9–10.2)
Brennan et al., 2010 [17] Australia Clinical setting 879 (709) 45 to 54 years DMFT Household income: under AU$30,000, AU$30,000–$60,000, over AU$60,000 Gender, place of birth, dental knowledge of tooth decay prevention Lower income and more decayed teeth 7 (9)
Decayed teeth-DT
Mean
(p < 0.01) *
DT = 0.8 ± 0.13, 0.4 ± 0.07, 0.2 ± 0.03
(p < 0.01) **
Geyer et al., 2010 [16] Germany Not reported 1,779 (925) 35 to 44 years DMFT Income in categories: highest, second highest, intermediate, second lowest and lowest; Gender, age (years) Lower income and higher DMFT 7 (9)
(≤21 and >21)
Educational level: 12–13 years, 10 years and 8–9 years of schooling (p < 0.05) *
OR = 3.74 (1.66–8.46)
Cumulative effects: income + educational level l = highest socioeconomic positions, intermediate positions, lowest positions
(p < 0.05) **
OR= 2.34 (1.00–5.55)
Less schooling and higher DMFT
(p < 0.05) *
OR = 3.75 (1.99–7.05)
(p < 0.05) **
OR = 2.95 (1.52–5.74)
Socioeconomic status - lowest positions: income + education level and higher DMFT
(p < 0.05)**
OR = 6.06 (2.06–17.87)
Celeste et al., 2011 [55] Brazil Subjects’ homes 22,839 (20,695) 35 to 44 years DMFT Gini (quartile), municipal income (quartile), household income (based on minimum wage) Gender, age, place of residence (urban, rural), last dental visit., edentulism, prevalence of periodontal attachment loss >8 mm More iniquity results in more decayed teeth 7 (9)
Untreated dental caries
Mean
(p < 0.05) **
Brennan et al., 2011 [18] Australia Clinical setting 879 (709) 45 to 54 years DMFT Household income (under $80,000+ and <$80,000 Dental visit pattern, dental self-care (tooth brushing) Lower income and more decayed teeth 7 (9)
Decayed teeth-DT
Mean Education: tertiary and secondary
(p < 0.01) *
DT = 0.1 ± 0.03, 0.5 ± 0.05
(p < 0.001) **
Income $80,000+
Beta = −0.27
Lesser schooling and more decayed teeth
(p < 0.01) *
DT = 0.2 ± 0.03, 0.5 ± 0.06
(p < 0.01) **
Education tertiary Beta = −0.25
Chandra et al., 2011 [56] India Not reported 1,198 (1,187) 19 to 57 years DMFT Socioeconomic status(SES): upper, upper middle, lower middle, upper lower, lower Gender, periodontal status, oral pre-malignant, malignant lesions, demographic profile, etc. Lower socioeconomic status and more decayed teeth 6 (9)
Decayed teeth-DT
Mean
(Modified Kuppuswamy scale were based on the 1988–1989)
(p < 0.001)*
Upper-DT = 0.07 (±0.32)
Lower DT = 0.96 (±2.06)

* Bivariate analysis; ** multivariate analysis.