Work-Family Conflict Modifies the Association of Smoking and Periodontal Disease.

PURPOSE: The aims of the study were to assess the association of periodontal loss of attachment with smoking and work-family conflict and assess whether work-family conflict modifies the association of smoking and periodontal disease. METHOD: A random sample of 45-54 year olds from metropolitan Adelaide, South Australia, was surveyed by mailed self-complete questionnaire during 2004-2005. Oral examinations were performed on persons who responded to the questionnaire, providing an assessment of periodontal status. RESULTS: A total of 879 responded (participation rate = 43.8 %), with n = 709 oral examinations (completion rate = 80.7 %). Prevalence of periodontal loss of attachment (LOA) of 6+ mm was higher (p < 0.05) for smokers (23.8 %) compared to non-smokers (7.8 %) among employed adults. The adjusted prevalence ratio for LOA 6+ mm was prevalence ratio (PR) = 4.9 (95 % CI 2.2-8.8) for smokers, and there was a significant interaction (p < 0.05) between smoking status and work-family conflict. CONCLUSION: Work-family conflict modified the association of smoking with periodontal disease. Higher levels of work interfering with family were associated with higher levels of periodontal LOA for smokers compared with non-smokers.

Work-Family Conflict and Oral and General Health-Related Quality of Life.

BACKGROUND: The characteristics of the work environment and relationships with family roles may impact on health and be of public health significance. PURPOSE: The aims were to investigate the cross-sectional association of work-family conflict with oral- and general health-related quality of life, and well-being. METHOD: A random sample of 45-54-year olds from Adelaide, South Australia, was surveyed by self-complete questionnaire in 2004-2005 (n = 879, response rate = 43.8%). Health-related quality of life was measured with the OHIP-14 and EQ-VAS instruments, and well-being by the Satisfaction With Life Scale. RESULTS: In adjusted analyses controlling for sex, income, education, tooth brushing frequency and social support, the higher Family Interferes with Work (FIW) tertile and the middle tertile of Work Interferes with Family (WIF) were associated with more oral health-related impacts as measured by OHIP-14 in relation to problems with teeth, mouth or dentures (Beta = 1.64, P < 0.05 and Beta = 2.85, P < 0.01). Both middle and higher tertiles of WIF were associated with lower general health (Beta = -4.20 and -5.71, P < 0.01) and well-being (Beta = -1.17 and -1.56, P < 0.01). CONCLUSION: Work-family conflict was associated with more oral health impacts and lower general health and well-being among employed middle-aged adults. This supports the view of work-family conflict as a psychosocial risk factor for health outcomes spanning function, health perceptions and well-being, and encompassing both oral health and general health.

Self-efficacy and self-rated oral health among pregnant aboriginal Australian women.

BACKGROUND: Self-efficacy plays an important role in oral health-related behaviours. There is little known about associations between self-efficacy and subjective oral health among populations at heightened risk of dental disease. This study aimed to determine if low self-efficacy was associated with poor self-rated oral health after adjusting for confounding among a convenience sample of pregnant women. METHODS: We used self-reported data from 446 Australian women pregnant with an Aboriginal child (age range 14-43 years) to evaluate self-rated oral health, self-efficacy and socio-demographic, psychosocial, social cognitive and risk factors. Hierarchical entry of explanatory variables into logistic regression models estimated prevalence odds ratios (POR) and 95% confidence intervals (95% CI) for fair or poor self-rated oral health. RESULTS: In an unadjusted model, those with low self-efficacy had 2.40 times the odds of rating their oral health as 'fair' or 'poor' (95% CI 1.54-3.74). Addition of socio-demographic factors attenuated the effect of low self-efficacy on poor self-rated oral health by 10 percent (POR 2.19, 95% CI 1.37-3.51). Addition of the psychosocial factors attenuated the odds by 17 percent (POR 2.07, 95% CI 1.28-3.36), while addition of the social cognitive variable fatalism increased the odds by 1 percent (POR 2.42, 95% CI 1.55-3.78). Inclusion of the behavioural risk factor 'not brushing previous day' attenuated the odds by 15 percent (POR 2.11, 95%CI 1.32-3.36). In the final model, which included all covariates, the odds were attenuated by 32 percent (POR 1.80, 95% CI 1.05, 3.08). CONCLUSIONS: Low self-efficacy persisted as a risk indicator for poor self-rated oral health after adjusting for confounding among this vulnerable population.

Water fluoridation and the association of sugar-sweetened beverage consumption and dental caries in Australian children.

OBJECTIVES: We examined demographic and socioeconomic differences in the consumption of sugar-sweetened beverages (SSBs), its association with dental caries in children, and whether exposure to water fluoridation modifies this association. METHODS: In a cross-sectional study, we used a stratified, clustered sampling design to obtain information on 16 508 children aged 5 to 16 years enrolled in Australian school dental services in 2002 to 2005. Dental staff assessed dental caries, and parents completed a questionnaire about their child's residential history, sources of drinking water, toothbrushing frequency, socioeconomic status (SES), and SSB consumption. RESULTS: Children who brushed their teeth less often and were older, male, of low SES, from rural or remote areas consumed significantly more SSBs. Caries was significantly associated with greater SSB consumption after controlling for potential confounders. Finally, greater exposure to fluoridated water significantly reduced the association between children's SSB consumption and dental caries. CONCLUSIONS: Consumption of SSBs should be considered a major risk factor for dental caries. However, increased exposure to fluoridated public water helped ameliorate the association between SSB consumption and dental decay. These results reconfirm the benefits of community water fluoridation for oral health.

Change in self-reported oral health in relation to use of dental services over 2 yr.

To investigate change in oral health in relation to use of dental services, a random sample of 45- to 54-yr-old subjects from Adelaide, South Australia, was surveyed in 2004-2005 (n = 986, response rate = 44.4%). Service use and a global oral-health transition (GOHT) statement were collected over 2 yr. Worsening in oral health was reported from the GOHT statement by 25% of persons, while improvement was reported by 30%. Prevalence ratios (PRs, 95% CI), adjusted for sex, education, health card status, and toothbrushing, showed that worsening oral health was inversely associated with dental visiting (PR = 0.5, 0.4-0.7) and with scaling and cleaning services (PR = 0.6, 0.4-0.9), whereas extractions (PR = 2.3, 1.6-3.4) and dentures (PR = 2.2, 1.3-3.7) were associated with a higher prevalence of worsening. Scaling and cleaning services were associated with improvement in oral health (PR = 1.5, 1.01-2.3), while endodontic services were inversely associated with improvement (PR = 0.3, 0.1-0.9). Worsening in oral health was associated with extractions and dentures and was inversely associated with visiting and preventive care. Improvement in oral health was associated with preventive care and was inversely associated with endodontic treatment.

Risk factors for impaired oral health among 18- to 34-year-old Australians.

OBJECTIVES: The objective of this study was to determine risk factors for a summary measure of oral health impairment among 18- to 34-year-olds in Australia. METHODS: Data were from Australia's National Survey of Adult Oral Health, a representative survey that utilized a three-stage, stratified, clustered sampling design. Oral health impairment was defined as reported experience of toothache, poor dental appearance, or food avoidance in the last 12 months. Multivariate Poisson regression models were used to evaluate effects of sociodemographic characteristics, self-perceived oral health, dental service utilization, and clinical oral disease indicators on oral health impairments. Effects were quantified as prevalence ratios (PR). RESULTS: The estimated percent of 18- to 34-year-olds with oral health impairment was 42.4 [95 percent confidence interval (CI) 37.7-47.2]. In the multivariate model, oral health impairment was associated with untreated dental decay (PR 1.38, 95 percent CI 1.13-1.68) and presence of periodontal pockets 4 mm+ (PR 1.29, 95 percent CI 1.03-1.61). In addition to those clinical indicators, greater prevalence of oral health impairment was associated with trouble paying a $100 dental bill (PR 1.37, 95 percent CI 1.12-1.68), usually visiting a dentist because of a dental problem (PR 1.46, 95 percent CI 1.15-1.86), reported cost barriers to dental care (PR 1.46, 95 percent CI 1.16-1.85), and dental fear (PR 1.43, 95 percent CI 1.18-1.73). CONCLUSIONS: Oral health impairment was highly prevalent in this population. The findings suggest that treatment of dental disease, reduction of financial barriers to dental care, and control of dental fear are needed to reduce oral health impairment among Australian young adults.

Risk indicators for severe impaired oral health among indigenous Australian young adults.

BACKGROUND: Oral health impairment comprises three conceptual domains; pain, appearance and function. This study sought to: (1) estimate the prevalence of severe oral health impairment as assessed by a summary oral health impairment measure, including aspects of dental pain, dissatisfaction with dental appearance and difficulty eating, among a birth cohort of Indigenous Australian young adults (n = 442, age range 16-20 years); (2) compare prevalence according to demographic, socio-economic, behavioural, dental service utilisation and oral health outcome risk indicators; and (3) ascertain the independent contribution of those risk indicators to severe oral health impairment in this population. METHODS: Data were from the Aboriginal Birth Cohort (ABC) study, a prospective longitudinal investigation of Aboriginal individuals born 1987-1990 at an Australian regional hospital. Data for this analysis pertained to Wave-3 of the study only. Severe oral health impairment was defined as reported experience of toothache, poor dental appearance and food avoidance in the last 12 months. Logistic regression models were used to evaluate effects of demographic, socio-economic, behavioural, dental service utilisation and clinical oral disease indicators on severe oral health impairment. Effects were quantified as odds ratios (OR). RESULTS: The percent of participants with severe oral health impairment was 16.3 (95% CI 12.9-19.7). In the multivariate model, severe oral health impairment was associated with untreated dental decay (OR 4.0, 95% CI 1.6-9.6). In addition to that clinical indicator, greater odds of severe oral health impairment were associated with being female (OR 2.0, 95% CI 1.2-3.6), being aged 19-20 years (OR 2.1, 95% CI 1.2-3.6), soft drink consumption every day or a few days a week (OR 2.6, 95% 1.2-5.6) and non-ownership of a toothbrush (OR 1.9, 95% CI 1.1-3.4). CONCLUSIONS: Severe oral health impairment was prevalent among this population. The findings suggest that public health strategies that address prevention and treatment of dental disease, self-regulation of soft drink consumption and ownership of oral self-care devices are needed if severe oral health impairment among Indigenous Australian young adults is to be reduced.

National Study of Adult Oral Health 2017-18: root caries.

BACKGROUND: The prevalence of root caries in Australia is expected to increase due to an ageing population and increase in tooth retention. This report presents findings from the Australian National Study of Adult Oral Health 2017-18. METHODS: A stratified random sample of 15 731 Australians aged ≥15 years participated in a telephone or online survey. Of those, 5022 dentate people underwent an oral assessment. Carious root surfaces were defined as ≥1 mm of affected dentine/cementum. Prevalence was defined as the percentage with ≥one natural tooth with untreated caries on root surfaces. Severity was measured as the mean number of root surfaces with caries. RESULTS: Prevalence of untreated root caries in the Australian adult dentate population was 8.2% and increased with increasing age (range 2%-17.8%). Men (9.3%) compared to women (7.2%), people living in remote (18.0%) versus regional (9.3%) and major cities (7.6%), and those with the lowest household income (15.4%) compared to middle (7.6%) and highest tertile (3.2%) had untreated root caries. The average number of decayed or filled root surfaces in the Australian adult population was 1.1 (95% CI 0.9, 1.2). CONCLUSIONS: Root caries was associated with older age, living outside a major city and lower income.

Oral epidemiological examination - protocol: the National Study of Adult Oral Health 2017-18.

The National Study of Adult Oral Health (NSAOH) 2017-18 aimed to collect data on population oral health status of the Australian adult population. This complex nation-wide project required reliable data collection procedures. The NSAOH 2017-18 Oral Epidemiological Examination Protocol has been developed based on internationally accepted examination procedures. Examiners have been trained and calibrated in using the protocol. Details of the clinical examination components are provided. Examiner reliability has been tested and presented.

Dental fluorosis in the Australian adult population.

BACKGROUND: The use of fluoride involves a balance between protection against caries and risk of dental fluorosis. Prevalence and trend of dental fluorosis in the adult population are not frequently reported. OBJECTIVE: To describe the prevalence of dental fluorosis in the Australian adult population. METHOD: Data from the National Study of Adult Oral Health (NSAOH) 2004-06 and 2017-18 were used. Prevalence of fluorosis was reported using data from the NSAOH 2017-18. Case definitions of fluorosis were as follows: having a TF score of 2+ (TF2+) or a TF score of 3+ (TF3+) on one or more maxillary central incisors. Synthetic cohorts were constructed by year of birth allowing for time trend analysis. RESULTS: One in ten Australian adults were found to have dental fluorosis at TF2+. The prevalence of TF3 + was low. Time trend analysis revealed an increase in the prevalence and severity of fluorosis among those born during 1970s to 1980s decade. Such prevalence declined among those who were born after measures were introduced in early 1990s to reduce exposure to discretionary fluorides. CONCLUSION: The prevalence of dental fluorosis in the Australian adult population was found to be related to population-level changes in fluoride exposure.

Socioeconomic and psychosocial associations with oral health impact and general health.

BACKGROUND: There is debate whether both subjective and objective measures of socioeconomic status (SES) are needed to predict health, and whether these factors are explained by psychosocial characteristics. The aims were to investigate the association of socioeconomic and psychosocial variables with oral health impact and general health utility. METHODS: A random sample of 45- to 54-year-olds from Adelaide, South Australia, was surveyed by self-complete questionnaire in 2004-2005. Oral health impact was assessed using OHIP-14 and general health utility by EQ-5D. SES was determined using objective (income, education) and subjective (McArthur scale) measures. Psychosocial variables comprised social support, health self-efficacy, well-being, coping and affectivity. RESULTS: Data were collected from 879 participants (response rate = 43.8%). Both objective and subjective socioeconomic status measures were associated with OHIP and EQ-5D scores. Higher income and subjective social status were both associated (P < 0.05) with less oral health impact (ß = -0.28 and ß = -0.73, respectively) and better general health utility (both with ß = 0.01, respectively). Psychosocial variables accounted for a relatively large percentage of variance in OHIP (20.7%) and EQ-5D (21.9%) scores. CONCLUSIONS: For both oral health impact and general health utility, objective SES was significant in the presence of subjective SES. Psychosocial variables had important independent associations with both oral and general health.

Smoking-attributable periodontal disease in the Australian adult population.

BACKGROUND: The extent to which periodontitis is attributable to smoking in Australia has not been examined. OBJECTIVES: To investigate the smoking-periodontitis relationship and to estimate the public health impact of smoking on periodontitis in Australia. MATERIAL AND METHODS: The National Survey of Adult Oral Health 2004-2006 collected nationally representative oral epidemiologic data for the Australian adult population. Examiners measured probing pocket depth (PPD) and gingival recession at three sites per tooth to compute clinical attachment level (CAL). Moderate-severe cases were defined as having: >/=2 interproximal sites (not on same tooth) with >/=4 mm CAL or with >/=5 mm PPD. Smoking status was defined as never-, former- or current-smoker. Current-smokers were further classified into light-, moderate- or heavy-smoker using calculated pack-years. Age, sex and socioeconomic position were examined as potential confounders. RESULTS: Twenty-three per cent were former-smokers and 15% were current-smokers. Prevalence of periodontitis was 23%. In unadjusted analyses, former- and current-smokers had significantly higher periodontitis prevalence than never-smokers. Relative to non-smokers, adjusted prevalence ratios (95% confidence interval) for periodontitis were as follows: former-smokers: 1.22 (1.03-1.46), moderate-smokers: 1.63 (1.16-2.30); and heavy-smokers: 1.64 (1.27-2.12). The population attributable fraction of smoking for moderate-severe periodontitis was 32% (equivalent to 700,000 adults). CONCLUSION: Smoking has a significant impact on periodontal health of the Australian adults.

Social inequality in use of dental services: relief of pain and extractions.

OBJECTIVES: The aim of this study was to assess social inequality in use of dental services by examination of visiting for relief of pain and receipt of extractions. METHODS: Data were collected in the period of 2004-06, from a stratified clustered sample of Australians aged 15+ years, using a computer-aided telephone interview. Analysis was restricted to n=10,099 dentate adults. RESULTS: Visiting for relief of pain varied by age, country of birth, education and income with lower odds (Odds ratio, 95%CI) among 55-74 (0.43, 0.35-0.54) and 75+ year-olds (0.22, 0.15-0.33) compared to the 15-34 year-olds, lower odds among Australian-born persons (0.82,0.69-0.98) compared to those born overseas, higher odds for those with no post-secondary education (1.31, 1.07-1.61) and with TAFE, trade or other qualifications (1.34, 1.09-1.66) compared to university qualified, and for those in the <$20,000 income group (1.61, 1.23-2.12), the $20,000-<$40,000 (1.53, 1.20-1.96) and the $40,000-<$60,000 group (1.33, 1.02-1.72) compared to <$80,000+. Receipt of extractions varied by age, sex, qualifications and income, with lower odds of extraction among persons of 75+ years (0.61,0.40-0.93) compared to the youngest age group, higher odds among males (1.34, 1.13-1.59) compared to females, those with no post-secondary education (1.59, 1.27-1.99) and with TAFE, trade or other qualifications (1.49, 1.21-1.84) compared to university qualified, and for the income groups <$20,000 (3.06, 2.27-4.12), $20,000-<40,000 (2.37, 1.80-3.12) and $40,000-<60,000 (1.94 1.47-2.55) compared to the $80,000+ income group. CONCLUSIONS: The results indicate social inequality in provision of dental services and suggest an urgent need for the dental profession and governments to address this inequality.

Dental service patterns among private and public adult patients in Australia.

BACKGROUND: While the majority of dental care in Australia is provided in the private sector those patients who attend for public care remain a public health focus due to their socioeconomic disadvantage. The aims of this study were to compare dental service profiles provided to patients at private and public clinics, controlling for age, sex, reason for visit and income. METHODS: Data were collected in 2004-06, using a three-stage, stratified clustered sample of Australians aged 15+ years, involving a computer-assisted telephone interview (CATI), oral examination and mailed questionnaire. Analysis was restricted to those who responded to the CATI. RESULTS: A total of 14,123 adults responded to the CATI (49% response) of whom 5,505 (44% of those interviewed) agreed to undergo an oral epidemiological examination. Multivariate analysis controlling for age, sex, reason for visit and income showed that persons attending public clinics had higher odds [Odds ratio, 95%CI] of extraction (1.69, 1.26-2.28), but lower odds of receiving oral prophylaxis (0.50, 0.38-0.66) and crown/bridge services (0.34, 0.13-0.91) compared to the reference category of private clinics. CONCLUSION: Socio-economically disadvantaged persons who face barriers to accessing dental care in the private sector suffer further oral health disadvantage from a pattern of services received at public clinics that has more emphasis on extraction of teeth and less emphasis on preventive and maintenance care.

Dental general anaesthetic receipt among Australians aged 15+ years, 1998-1999 to 2004-2005.

BACKGROUND: Adults receive dental general anaesthetic (DGA) care when standard dental treatment is not possible. Receipt of DGA care is resource-intensive and not without risk. This study explores DGA receipt among 15+-year-old Australians by a range of risk indicators. METHODS: DGA data were obtained from Australia's Hospital Morbidity Database from 1998-1999 to 2004-2005. Poisson regression modeling was used to examine DGA rates in relation to age, sex, Indigenous status, location and procedure. RESULTS: The overall DGA rate was 472.79 per 100,000 (95% CI 471.50-474.09). Treatment of impacted teeth (63.7%) was the most common reason for DGA receipt, followed by dental caries treatment (12.4%), although marked variations were seen by age-group. After adjusting for other covariates, DGA rates among 15-19-year-olds were 13.20 (95% CI 12.65-13.78) times higher than their 85+-year-old counterparts. Females had 1.46 (95% CI 1.45-1.47) times the rate of their male counterparts, while those living in rural/remote areas had 2.70 (95% CI 2.68-2.72) times the rate of metropolitan-dwellers. DGA rates for non-Indigenous persons were 4.88 (95% CI 4.73-5.03) times those of Indigenous persons. The DGA rate for 1+ extractions was 461.9 per 100,000 (95% CI 460.6-463.2), compared with a rate of 23.6 per 100,000 (95% CI 23.3-23.9) for 1+ restorations. CONCLUSION: Nearly two-thirds of DGAs were for treatment of impacted teeth. Persons aged 15-19 years were disproportionately represented among those receiving DGA care, along with females, rural/remote-dwellers and those identifying as non-Indigenous. More research is required to better understand the public health implications of DGA care among 15+-year-olds, and how the demand for receipt of such care might be reduced.

Dental knowledge and dental service utilization: A 2-year follow-up study.

OBJECTIVES: To investigate associations of dental knowledge with dental service utilization over 2 years in South Australians aged 45-54 years. METHODS: In 2004-2005, a random sample of 2469 adults aged 45-54 years from Adelaide, South Australia, who were selected from the Australian electoral roll was surveyed. The outcome variables were the numbers of visits and dental services received over 2 years. Data were analysed using log-binomial and Poisson regression. Statistical significance was determined at P < .05. RESULTS: The response rates were 43.8% in the study group (n = 879) and 50.7% in the comparison group (n = 107). Oral examinations were conducted on 709 persons (81% of study group participants). Dental services data were collected from approximately 60% of participants at the end of years 1 and 2. After adjusting for sex, education, health card status, toothbrushing and inadequate dentition, higher caries knowledge and periodontal knowledge scores were associated with higher percentages of persons making dental visits (prevalence ratio, 95% CI: 1.2, 1.1-1.3 and 1.1, 1.0-1.3), and lower rates of extraction (rate ratio, 95% CI: 0.2, 0.1-0.4 and 0.4, 0.3-0.7) and endodontic services (0.5, 0.3-0.9 and 0.5, 0.3-0.7). Higher caries knowledge was associated with lower rates of fillings (0.8, 0.7-0.9) and denture services (0.1, 0.0-0.6), while higher periodontal knowledge was associated with higher numbers of visits (1.3, 1.2-1.5), and prophylaxis services (1.4, 1.1-1.8) and crowns (1.7, 1.1-2.5). CONCLUSION: South Australians aged 45-54 years with higher dental knowledge had lower rates of invasive treatment over 2 years. These findings warrant policy initiatives that highlight the importance of dental knowledge in improving oral health.

Positive and negative affect and oral health-related quality of life.

BACKGROUND: The aims of the study were to assess the impact of both positive (PA) and negative affect (NA) on self-reported oral health-related quality of life and to determine the effect of including affectivity on the relationship between oral health-related quality of life and a set of explanatory variables consisting of oral health status, socio-economic status and dental visiting pattern. METHODS: A random sample of 45-54 year-olds from metropolitan Adelaide, South Australia was surveyed by mailed self-complete questionnaire during 2004-05 with up to four follow-up mailings of the questionnaire to non-respondents (n = 986 responded, response rate = 44.4%). Oral health-related quality of life was measured using OHIP-14 and affectivity using the Bradburn scale. Using OHIP-14 and subscales as the dependent variables, regression models were constructed first using oral health status, socio-economic characteristics and dental visit pattern and then adding PA and NA as independent variables, with nested models tested for change in R-squared values. RESULTS: PA and NA exhibited a negative correlation of -0.49 (P < 0.01). NA accounted for a larger percentage of variance in OHIP-14 scores (3.0% to 7.3%) than PA (1.4% to 4.6%). In models that included both PA and NA, PA accounted for 0.2% to 1.1% of variance in OHIP-14 scores compared to 1.8% to 3.9% for NA. CONCLUSION: PA and NA both accounted for additional variance in quality of life scores, but did not substantially diminish the effect of established explanatory variables such as oral health status, socio-economic status and dental visit patterns.

Oral health inequalities among indigenous and nonindigenous children in the Northern Territory of Australia.

OBJECTIVE: To describe oral health inequalities among indigenous and nonindigenous children in the Northern Territory of Australia using an area-based measure of socioeconomic status (SES). METHODS: Data were obtained from indigenous and nonindigenous 4-13-year-old children enrolled in the Northern Territory School Dental Service in 2002-2003. The Socio-Economic Indices For Areas (SEIFA) were used to determine socioeconomic relationships with dental disease experience. RESULTS: Some 12,584 children were examined, 35.1% of whom were indigenous. Across all age-groups, socially disadvantaged indigenous children experienced higher mean dmft and DMFT levels than their similarly aged, similarly disadvantaged nonindigenous counterparts. Indigenous children aged 5 years had almost four times the dmft of their nonindigenous counterparts in the same disadvantage category (P < 0.05), while indigenous children aged 10 years had almost five times the DMFT of similarly disadvantaged nonindigenous children (P < 0.05). A distinct social gradient was apparent among indigenous and nonindigenous children, respectively, whereby those with the highest dmft/DMFT levels were in the most disadvantaged SES category and those least disadvantaged had the lowest dmft/DMFT levels. In most age-groups, indigenous children who were least disadvantaged had worse oral health than the most disadvantaged nonindigenous children. CONCLUSIONS: The findings suggest that indigenous status and SES have strong oral health outcome correlations but are not mutually dependent, that is, indigenous status influences oral health outcomes irrespective of social disadvantage. From a health policy perspective, greater oral health gains may be possible by concentrating public health and clinical effort among all indigenous children irrespective of SES status.

The role of location in indigenous and non-indigenous child oral health.

OBJECTIVE: To examine the role of location in Indigenous and non-indigenous child oral health in three Australian states and territories. The association of Indigenous status and residential location with caries prevalence, severity and unmet treatment need was examined. METHODS: Data were collected as part of a national monitoring survey of 4-14-year-old children enrolled in school dental services in New South Wales, South Australia and the Northern Territory, Australia. RESULTS: Of the 326,099 children examined, 10,473 (3.2%) were Indigenous. Fewer 4-10-year-old rural Indigenous children were caries-free in the deciduous dentition than their non-indigenous counterparts and rural Indigenous children had almost twice the mean number of decayed, missing and filled teeth (dmft) of rural non-indigenous children. The % d/dmft was higher among rural Indigenous children than rural nonIndigenous children. Fewer 6-14-year-old rural Indigenous children were caries-free in the permanent dentition than their non-indigenous counterparts and rural Indigenous children had almost twice the mean DMFT of rural non-Indigenous children. The % D/DMFT was higher in rural Indigenous than rural non-indigenous children. Living in a rural location was the strongest indicator of caries prevalence, severity and unmet treatment need in the deciduous dentition of Indigenous 4-10-year-olds while being socially disadvantaged was the strongest indicator of poor oral health outcomes among older Indigenous and all non-Indigenous children. CONCLUSIONS: Living in a rural location exhibited the strongest association with poor oral health outcomes for young Indigenous children but was also associated with poorer oral health among older Indigenous and non-Indigenous children.

Dental general anaesthetic trends among Australian children.

BACKGROUND: Children receive dental general anaesthetic (DGA) care when standard dental treatment is not possible. Receipt of DGA care is resource-intensive and not without risk. This study examines trends in receipt of DGA care among Australian children. METHODS: Child DGA data were obtained from the Australian Institute of Health and Welfare Hospital Morbidity Database for 1993-2004. Poisson regression modelling was used to examine DGA rates in relation to age, sex, Indigenous status, location, year and procedure. RESULTS: There was a 3-fold increase in DGA rates from 1993-1994 (215.8 +/- 2.9 per 100,000) to 2003-2004 (731.4 +/- 5.3 per 100,000) (P < 0.001). Across all years, children who were aged 0-4 years, male or rural/remote-dwelling had higher DGA rates than their 5-9-year-old, female or metropolitan-dwelling counterparts respectively. There was a 7.0-fold increase in the rate of Indigenous admissions from 1993-1994 (116.5 +/- 10.2 per 100,000) to 2003-2004 (806.6 +/- 25.7 per 100,000). Extraction rates increased 4.9-fold from 1993-1994 (109.2 +/- 2.9 per 100,000) to 2003-2004 (540.0 +/- 4.5 per 100,000), while restoration rates increased 3.3-fold in the same observation period (139.5 +/- 2.3 per 100,000 in 1993-1994 to 462.6 +/- 4.2 per 100,000 in 2003-2004). For admissions in which one or more extractions were received, Indigenous rates were 47% greater than non-Indigenous rates after adjusting for other covariates. CONCLUSION: Child DGA rates in Australia are increasing. Children who are pre-school-aged, male, Indigenous or living in a rural/remote location are disproportionally represented among those receiving such care. There are higher rates of extractions as opposed to more conservative procedures, particularly among Indigenous children.