Does having children affect women's oral health? A longitudinal study.

BACKGROUND: Many believe women's oral health deteriorates as a result of having children. If so, such associations should exist among women but not among men. The aims of this study were to investigate whether number of children is associated with experience of dental disease and tooth loss among both men and women and to examine whether this association is affected by other variables of interest. METHODS: This study used data from the Dunedin Multidisciplinary Health and Development study, a longitudinal study of 1037 individuals (48.4% female) born from April 1972 to March 1973 in Dunedin, New Zealand, who have been examined repeatedly from birth to age 45 years. RESULTS: Data were available for 437 women and 431 men. Those with low educational attainment were more likely to have more children and began having children earlier in life. Having more children was associated with experiencing more dental caries and tooth loss by age 45, but this association was dependent on the age at which the children were had. Those entering parenthood earlier in life (by age 26) had poorer dental health than those entering parenthood later in life, or those without children. There was no association between number of children and periodontal attachment loss (PAL). Low educational attainment, poor plaque control, never routine dental attendance, and smoking (for PAL) were associated with PAL, caries experience, and tooth loss. CONCLUSIONS: Social factors associated with both the timing of reproductive patterns and health behaviors influence the risk of dental disease and its management.

Associations of sex, oral hygiene and smoking with oral species in distinct habitats at age 32 years.

The oral microbiome is ecologically diverse, complex, dynamic, and little understood. We describe the microbiota of four oral habitats in a birth cohort at age 32 and examine differences by sex, oral hygiene, and current smoking status, dental caries, and periodontal health. Oral biofilm samples collected from anterior labial supragingival, posterior lingual supragingival, subgingival, and tongue sites of 841 Dunedin Multidisciplinary Health and Development Study members were analysed using checkerboard DNA-DNA hybridization; focusing on 30 ecologically important bacterial species. The four habitats exhibited distinct microbial profiles that differed by sex. Streptococcus gordonii was more dominant in supragingival and tongue biofilms of males; Porphyromonas gingivalis exhibited higher relative abundance in subgingival biofilm of females. Males had higher scores than females for periodontal pathogens at supragingival sites. The relative abundance of several putative caries and periodontal pathogens differed in smokers and non-smokers. With poor oral hygiene significantly higher proportions of Gram-negative facultative anaerobes were present in subgingival biofilm and there were higher scores for the principal components characterised by putative cariogenic and periodontal pathogens at each site. Distinctive microenvironments shape oral biofilms and systematic differences exist by sex, oral hygiene, and smoking status.

Establishing a generalized polyepigenetic biomarker for tobacco smoking.

Large-scale epigenome-wide association meta-analyses have identified multiple 'signatures'' of smoking. Drawing on these findings, we describe the construction of a polyepigenetic DNA methylation score that indexes smoking behavior and that can be utilized for multiple purposes in population health research. To validate the score, we use data from two birth cohort studies: The Dunedin Longitudinal Study, followed to age-38 years, and the Environmental Risk Study, followed to age-18 years. Longitudinal data show that changes in DNA methylation accumulate with increased exposure to tobacco smoking and attenuate with quitting. Data from twins discordant for smoking behavior show that smoking influences DNA methylation independently of genetic and environmental risk factors. Physiological data show that changes in DNA methylation track smoking-related changes in lung function and gum health over time. Moreover, DNA methylation changes predict corresponding changes in gene expression in pathways related to inflammation, immune response, and cellular trafficking. Finally, we present prospective data about the link between adverse childhood experiences (ACEs) and epigenetic modifications; these findings document the importance of controlling for smoking-related DNA methylation changes when studying biological embedding of stress in life-course research. We introduce the polyepigenetic DNA methylation score as a tool both for discovery and theory-guided research in epigenetic epidemiology.

Periodontitis is not associated with metabolic risk during the fourth decade of life.

AIM: To examine associations between periodontitis and developmental trajectories of glycated haemoglobin (HbA1c) during the third and fourth decades in an initially healthy sample. MATERIALS AND METHODS: HbA1c data collected at ages 26, 32 and 38 in the prospective Dunedin Multidisciplinary Health and Development Study were used to assign study members (n = 893) to trajectories applying group-based trajectory modelling (GBTM). The model allowed the statistical linking of baseline demographic, smoking and waist-height ratio covariates to group membership probability; and added a time-varying covariate (periodontitis) to the trajectories themselves to examine whether events that occurred during the course of the trajectory altered its course. RESULTS: Three HbA1c trajectory groups were identified: "Low" (n = 98, 11.0%); "Medium" (n = 482, 54.0%); and "High" (n = 313, 35.0%) with mean HbA1c of 29.6, 34.1 and 38.7 mmol/mol, respectively, at age 38. Having periodontitis at 32 and 38 was associated with an upward shift in the trajectories. However, none of the associations were statistically significant. CONCLUSIONS: Periodontitis was not found to be associated with dysglycaemia over 12 years from early adulthood into early middle age. This suggests that any influence periodontitis may have on dysglycaemia develops later in life.

High-risk glycated hemoglobin trajectories established by mid-20s: findings from a birth cohort study.

OBJECTIVE: To describe the natural history of glycemia (as measured by glycated hemoglobin (HbA1c)) over 12 years using group-based trajectory modeling (GBTM), and to examine baseline predictors of trajectory. RESEARCH DESIGN AND METHODS: HbA1c data collected at ages 26, 32 and 38 in the long-running, prospective Dunedin Multidisciplinary Health and Development Study were used to assign study members (n=893) to trajectories applying GBTM. A generalization of the model allowed the statistical linking of baseline demographic, smoking and anthropometric characteristics to group membership probability. RESULTS: Mean HbA1c increased with age, as did prevalence of prediabetes, diabetes and dysglycemia. The greatest increase occurred between ages 26 and 32. Glycemic health status at age 26 predicted glycemic health status at age 38. 3 HbA1c trajectory groups were identified: 'low' (n=98, 11.0%); 'medium' (n=482, 54.0%); and 'high' (n=313, 35.0%) with mean HbA1c of 29.6, 34.1, and 38.7 mmol/mol, respectively, at age 38. High waist circumference (≥880 mm for women and ≥1020 mm for men), high waist-height ratio (≥0.50), and being a smoker at age 26 predicted membership of the least favorable trajectory over the next 12 years. High body mass index (≥30) at age 26 did not predict of trajectory. CONCLUSIONS: Trajectories of HbA1c are established relatively early in adulthood. HbA1c levels, waist circumference, waist-height ratio, and smoking status at age 26 are valid clinical predictors for future dysglycemic risk. The identification of HbA1c trajectories and their predictors introduces the possibility of an individualized approach to prevention at an earlier stage than is currently done.

Telomere length and periodontal attachment loss: a prospective cohort study.

AIM: The aim of the study was to examine the association between telomere erosion and periodontitis in a long-standing prospective cohort study of New Zealand adults. Specific hypotheses tested were as follows: (i) that exposure to periodontitis at ages 26 and 38 was associated with accelerated leucocyte telomere erosion and (ii) that accelerated leucocyte telomere erosion was associated with higher rates of periodontitis by ages 26 and 38. MATERIALS AND METHODS: Periodontal attachment loss data were collected at ages 26 and 38. Blood samples taken at the same ages were analysed to obtain estimates of leucocyte telomere length and erosion over a 12-year period. RESULTS: Overall, the mean telomere length was reduced by 0.15 T/S ratio (adjusted) from age 26 to 38 among the 661 participants reported on here. During the same period, the mean attachment loss increased by 10%, after adjusting for sex, socio-economic status and smoking. Regression models showed that attachment loss did not predict telomere length, and that telomere erosion did not predict attachment loss. CONCLUSIONS: Although both periodontitis and telomere length are age-dependent, they do not appear to be linked, suggesting that determination of leucocyte telomere length may not be a promising clinical approach at this age for identifying people who are at risk for periodontitis.

Peri-implantitis diagnosis and treatment by New Zealand periodontists and oral maxillofacial surgeons.

OBJECTIVES: This study aimed to investigate the understanding, diagnosis and management of peri-implantitis by New Zealand periodontists and oral maxillofacial surgeons (OMFS). DESIGN: Telephone interviews (in combination with a postal and electronic survey) were conducted of all 25 periodontists and 32 OMFS listed as specialists on the New Zealand Dental Register. A seven item multi-choice and short answer questionnaire was used to investigate: their definition of peri-implantitis; the number of annual referrals received in their practice for this condition; their diagnostic, preventive and treatment strategies for peri-implantitis; and their perception of the role of general dental practitioners in its management. RESULTS: The participation rate was 84.6%. Most respondents defined peri-implantitis as a disease of multifactorial aetiology that leads to destruction of the bone supporting an implant. The average number of cases seen annually differed between periodontists (11 cases/year) and OMFS (4 cases/year). The criteria used by the respondents to diagnose peri-implantitis included increased probing depths and radiographic evidence of bone loss. Each type of specialist used mechanical debridement for treatment, but a higher proportion of OMFS performed surgical procedures as treatment. The prevention strategies used smoking cessation advice and ensuring good plaque control. All respondents agreed that peri-implantitis is an important disease that can lead to implant failure, and all acknowledged the role of general dental practitioners in diagnosis, referral for treatment and long-term implant maintenance. CONCLUSION: The definition, diagnostic criteria and management strategies used by New Zealand specialists are generally consistent with those found in the literature. No evidence-based, gold standard treatment protocol for peri-implantitis has been identified in the literature, and New Zealand specialists use a range of treatment modalities.

Reexamining the association between smoking and periodontitis in the dunedin study with an enhanced analytical approach.

BACKGROUND: Smoking is a major risk factor for periodontal disease. Conventional oral epidemiology approaches have found strong, consistent associations between chronic smoking and periodontal attachment loss (AL) through ages 26, 32, and 38 years, but those statistical methods disregarded the data's hierarchical structure. This study reexamines the association using hierarchical modeling to: 1) overcome the limitations of an earlier approach (trajectory analysis) to the data and 2) determine the robustness of the earlier inferences. METHODS: Periodontal examinations were conducted at ages 26, 32, and 38 years in the Dunedin Multidisciplinary Health and Development Study. The number of participants examined at those three ages were 913, 918, and 913, respectively. A generalized linear mixed model with a quasi-binomial approach was used to examine associations between chronic smoking and periodontal AL. RESULTS: At ages 26, 32, and 38, smokers had 3.5%, 12.8%, and 23.2% greater AL than non-smokers. Regular cannabis use was associated with greater AL after age 32, but not at age 26. Males had more AL than females. Participants with high plaque scores had consistently greater AL; those who were of persistently low socioeconomic status had higher AL at ages 32 and 38, but not at age 26. The amount of AL in anterior teeth was less than in premolars and molars. Gingival bleeding was associated with higher AL at ages 26, 32, and 38. CONCLUSION: The smoking-periodontitis association is observable with hierarchical modeling, providing strong evidence that chronic smoking is a risk factor for periodontitis.

The natural history of periodontal attachment loss during the third and fourth decades of life.

AIM: To describe changes in the occurrence of periodontal attachment loss (AL) through ages 26, 32 and 38 in a complete birth cohort. MATERIALS AND METHODS: Systematic periodontal examinations conducted at ages 26, 32 and 38 in a longstanding New Zealand cohort study (N = 1037). Periodontitis extent data were used to assign participants to periodontitis trajectories using group-based trajectory analysis. RESULTS: Eight hundred and thirty-one individuals were periodontally examined at all three ages; the prevalence and extent of AL increased as the cohort aged. Between 26 and 32, one in nine participants had 1+ sites showing new or progressing AL; that proportion almost doubled between ages 32 and 38. Four periodontitis trajectory groups were identified, comprising 55.2%, 31.5%, 10.7% and 2.5% of the cohort; these were termed the "Very low", "Low", "Moderately increasing" and "Markedly increasing" trajectory groups respectively. Those who had smoked tobacco at all ages from 15 through 38 were at higher risk of being in the "Moderately increasing" or "Markedly increasing" trajectory groups. There was a similar risk gradient for those who were in the highest 20% of cannabis usage. CONCLUSIONS: Periodontitis commences relatively early in adulthood, and its progression accelerates with age, particularly among smokers.

Impact of dental visiting trajectory patterns on clinical oral health and oral health-related quality of life.

BACKGROUND: Previous studies have shown variation in long-term dental visiting but little is known about the oral health outcomes of such variation. OBJECTIVE: The objective of this study is to determine the association of different dental visiting trajectories with dental clinical and oral health-related quality of life (OHRQoL) indicators. METHODS: This study utilized data from the Dunedin Multidisciplinary Health and Development Study, a continuing longitudinal study of 1,037 babies born in Dunedin (New Zealand) between April 1, 1972 and March 31, 1973. Data presented here were collected at ages 15, 18, 26, and 32 years. Three categories of dental attendance were identified in earlier research, namely: regulars (n = 285, 30.9 percent of the cohort), decliners (441, 55.9 percent), and opportunistic users (107, 13.1 percent). RESULTS: There was a statistically significant association between opportunistic dental visiting behavior and decayed missing and filled surfaces score (Beta = 3.9) as well as missing teeth because of caries (Beta = 0.7). Nonregular dental visiting trajectories were associated with higher Oral Health Impact Profile (OHIP-14) scores (Beta = 2.1) and lower self-rated oral health scores (prevalence ratio = 0.8). CONCLUSION: Long-term, postchildhood dental attendance patterns are associated with oral health in adulthood, whether defined by clinical dental indicators or OHRQoL. Improving dental visiting behavior among low socioeconomic status groups would have the greatest effect on improving oral health and reducing oral health impacts.

Dental plaque and oral health during the first 32 years of life.

BACKGROUND: Studies investigating the role of dental plaque in oral disease have focused primarily on the quantity and quality of plaque at a given point in time. No large-scale epidemiologic research has been conducted regarding the continuity and change in plaque levels across the long term and the association of plaque levels with oral health. METHODS: The authors used data from the Dunedin Multidisciplinary Health and Development Study. Collection of dental plaque data occurred at ages 5, 9, 15, 18, 26 and 32 years by means of the Simplified Oral Hygiene Index. The authors assessed oral health outcomes when participants were aged 32 years. RESULTS: The authors identified three plaque trajectory groups (high, n = 357; medium, n = 450; and low; n = 104) and found substantial, statistically significant differences in both caries and periodontal disease experience among those groups. For example, after the authors controlled for sex, socioeconomic status and dental visiting pattern, they found that participants in the high-plaque-trajectory group lost nearly five times more teeth owing to caries than did those in the low-plaque-trajectory group. CONCLUSIONS: Across the long term, participants in the high-plaque-trajectory group were more likely to experience caries, periodontal disease and subsequent tooth loss than were those in the low- or medium-plaque-trajectory groups, and they experienced all those conditions with greater severity. CLINICAL IMPLICATIONS: Improving oral health requires emphasizing long-term self-care, as well as providing broad public health and health promotion measures that promote and support oral self-care. This study's findings suggest that poor oral hygiene and smoking have a synergistic effect on periodontal disease experience.

Inter-generational continuity in periodontal health: findings from the Dunedin family history study.

OBJECTIVE: To determine whether parental periodontal disease history is a risk factor for periodontal disease in adult offspring. METHODS: Proband periodontal examination [combined attachment loss (CAL) at age 32, and incidence of CAL from ages 26 to 32] and interview data were collected during the age-32 assessments in the Dunedin Study. Parental data were also collected. The sample was divided into two familial-risk groups for periodontal disease (high- and low-risk) based on parents' self-reported periodontal disease. RESULTS: Periodontal risk analysis involved 625 proband-parent(s) groups. After controlling for confounding factors, the high-familial-risk periodontal group was more likely to have 1+ sites with 4+mm CAL [relative risk (RR) 1.45; 95% confidence interval (CI) 1.11-1.88], 2+ sites with 4+mm CAL (RR 1.45; 95% CI 1.03-2.05), 1+ sites with 5+mm CAL (RR 1.60; 95% CI 1.02-2.50), and 1+ sites with 3+mm incident CAL (RR 1.64; 95% CI 1.01-2.66) than the low-familial-risk group. Predictive validity was enhanced when information was available from both parents. CONCLUSIONS: Parents with poor periodontal health tend to have offspring with poor periodontal health. Family/parental history of oral health is a valid representation of the shared genetic and environmental factors that contribute to an individual's periodontal status, and may help to predict patient prognosis and preventive treatment need.

Cannabis smoking and periodontal disease among young adults.

CONTEXT: Tobacco smoking is a recognized behavioral risk factor for periodontal disease (through its systemic effects), and cannabis smoking may contribute in a similar way. OBJECTIVE: To determine whether cannabis smoking is a risk factor for periodontal disease. DESIGN AND SETTING: Prospective cohort study of the general population, with cannabis use determined at ages 18, 21, 26, and 32 years and dental examinations conducted at ages 26 and 32 years. The most recent data collection (at age 32 years) was completed in June 2005. PARTICIPANTS: A complete birth cohort born in 1972 and 1973 in Dunedin, New Zealand, and assessed periodically (with a 96% follow-up rate of the 1015 participants who survived to age 32 years). Complete data for this analysis were available from 903 participants (comprising 89.0% of the surviving birth cohort). MAIN OUTCOME MEASURE: Periodontal disease status at age 32 years (and changes from ages 26 to 32 years) determined from periodontal combined attachment loss (CAL) measured at 3 sites per tooth. RESULTS: Three cannabis exposure groups were determined: no exposure (293 individuals, or 32.3%), some exposure (428; 47.4%), and high exposure (182; 20.2%). At age 32 years, 265 participants (29.3%) had 1 or more sites with 4 mm or greater CAL, and 111 participants (12.3%) had 1 or more sites with 5 mm or greater CAL. Incident attachment loss between the ages of 26 and 32 years in the none, some, and high cannabis exposure groups was 6.5%, 11.2%, and 23.6%, respectively. After controlling for tobacco smoking (measured in pack-years), sex, irregular use of dental services, and dental plaque, the relative risk estimates for the highest cannabis exposure group were as follows: 1.6 (95% confidence interval [CI], 1.2-2.2) for having 1 or more sites with 4 mm or greater CAL; 3.1 (95% CI, 1.5-6.4) for having 1 or more sites with 5 mm or greater CAL; and 2.2 (95% CI, 1.2-3.9) for having incident attachment loss (in comparison with those who had never smoked cannabis). Tobacco smoking was strongly associated with periodontal disease experience, but there was no interaction between cannabis use and tobacco smoking in predicting the condition's occurrence. CONCLUSION: Cannabis smoking may be a risk factor for periodontal disease that is independent of the use of tobacco.

Cigarette smoking and periodontal disease among 32-year-olds: a prospective study of a representative birth cohort.

BACKGROUND: Smoking is recognized as the primary behavioural risk factor for periodontal attachment loss (AL), but confirmatory data from prospective cohort studies are scarce. AIM: To quantify the association between cigarette smoking patterns and AL by age 32. METHODS: Periodontal examinations were conducted at ages 26 and 32 in a longstanding prospective study of a birth cohort born in Dunedin (New Zealand) in 1972/1973. Longitudinal categorization of smoking exposure was undertaken using data collected at ages 15, 18, 21, 26 and 32. RESULTS: Complete data were available for 810 individuals of whom 48.9% had ever smoked (31.5% were current smokers). Compared with never-smokers, long-term smokers (and other age-32 smokers) had very high odds ratios (ORs of 7.1 and 5.7, respectively) for having 1 +sites with 5 +mm AL, and were more likely to be incident cases after age 26 (ORs of 5.2 and 3.2, respectively). Two-thirds of new cases after age 26 were attributable to smoking. There were no significant differences in periodontal health between never-smokers and those who had quit smoking after age 26. CONCLUSIONS: Current and long-term smoking in young adults is detrimental to periodontal health, but smoking cessation may be associated with a relatively rapid improvement in the periodontium.

The impact of xerostomia on oral-health-related quality of life among younger adults.

BACKGROUND: Recent research has suggested that chronic dry mouth affects the day-to-day lives of older people living in institutions. The condition has usually been considered to be a feature of old age, but recent work by our team produced the somewhat surprising finding that 10% of people in their early thirties are affected. This raises the issue of whether dry mouth is a trivial condition or a more substantial threat to quality of life among younger people. The objective of this study was to examine the association between xerostomia and oral-health-related quality of life among young adults while controlling for clinical oral health status and other potential confounding factors. METHODS: Cross-sectional analysis of data from a longstanding prospective observational study of a Dunedin (New Zealand) birth cohort: clinical dental examinations and questionnaires were used at age 32. The main measures were xerostomia (the subjective feeling of dry mouth, measured with a single question) and oral-health-related quality of life (OHRQoL) measured using the short-form Oral Health Impact Profile (OHIP-14). RESULTS: Of the 923 participants (48.9% female), one in ten were categorised as 'xerostomic', with no apparent gender difference. There was a strong association between xerostomia and OHRQoL (across all OHIP-14 domains) which persisted after multivariate analysis to control for clinical characteristics, gender, smoking status and personality characteristics (negative emotionality and positive emotionality). CONCLUSION: Xerostomia is not a trivial condition; it appears to have marked and consistent effects on sufferers' day-to-day lives.

Dental restorations: a risk factor for periodontal attachment loss?

BACKGROUND: Dental caries and restorations in proximal tooth surfaces often impinge upon the periodontal biological width. AIM: This study examines whether these factors may contribute to risk for periodontal attachment loss at these sites. METHODS: The study is based upon data from the Dunedin Multidisciplinary Health and Development Study, a long-standing cohort study. Approximal tooth surfaces of 884 study members were evaluated for restorations and caries at age 26 and again at 32 years, and probing depth and gingival recession were recorded in millimetres at age 32. Attachment loss was computed as the sum of pocket depth and gingival recession. Data were analysed using generalized estimating equations. RESULTS: Where a caries/restorative event had occurred on an inter-proximal tooth surface before age 26, the age-32 attachment loss at the corresponding periodontal site was approximately twice more likely to be >or=3 mm than if the adjacent tooth surface had remained sound to age 32. This was also true where a caries/restorative event had occurred subsequent to age 26. The association remained after controlling for potential confounders, including smoking. CONCLUSIONS: Site-specific periodontal attachment loss due to dental caries or restorative events occurs in adults in their third and fourth decades of life.