Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Jonathan M. Broadbent is active.

Publication


Featured researches published by Jonathan M. Broadbent.


Development and Psychopathology | 2008

Female and male antisocial trajectories: from childhood origins to adult outcomes

Candice L. Odgers; Terrie E. Moffitt; Jonathan M. Broadbent; Nigel Dickson; Robert J. Hancox; HonaLee Harrington; Richie Poulton; Malcolm R. Sears; W. Murray Thomson; Avshalom Caspi

This article reports on the childhood origins and adult outcomes of female versus male antisocial behavior trajectories in the Dunedin longitudinal study. Four antisocial behavior trajectory groups were identified among females and males using general growth mixture modeling and included life-course persistent (LCP), adolescent-onset, childhood-limited, and low trajectory groups. During childhood, both LCP females and males were characterized by social, familial and neurodevelopmental risk factors, whereas those on the adolescent-onset pathway were not. At age 32, women and men on the LCP pathway were engaging in serious violence and experiencing significant mental health, physical health, and economic problems. Females and males on the adolescent-onset pathway were also experiencing difficulties at age 32, although to a lesser extent. Although more males than females followed the LCP trajectory, findings support similarities across gender with respect to developmental trajectories of antisocial behavior and their associated childhood origins and adult consequences. Implications for theory, research, and practice are discussed.


Journal of Dental Research | 2010

Long-term Dental Visiting Patterns and Adult Oral Health

Thomson Wm; Sheila Williams; Jonathan M. Broadbent; Richie Poulton; David Locker

To date, the evidence supporting the benefits of dental visiting comes from cross-sectional studies. We investigated whether long-term routine dental visiting was associated with lower experience of dental caries and missing teeth, and better self-rated oral health, by age 32. A prospective cohort study in New Zealand examined 932 participants’ use of dentistry at ages 15, 18, 26, and 32. At each age, routine attenders (RAs) were identified as those who (a) usually visited for a check-up, and (b) had made a dental visit during the previous 12 months. Routine attending prevalence fell from 82% at age 15 to 28% by 32. At any given age, routine attenders had better-than-average oral health, fewer had teeth missing due to caries, and they had lower mean DS and DMFS scores. By age 32, routine attenders had better self-reported oral health and less tooth loss and caries. The longer routine attendance was maintained, the stronger the effect. Routine dental attendance is associated with better oral health.


Journal of Dental Research | 2006

Oral Health Beliefs in Adolescence and Oral Health in Young Adulthood

Jonathan M. Broadbent; Thomson Wm; Richie Poulton

According to theory, health beliefs are related to health behaviors. We investigated whether individuals who hold favorable oral-health-related beliefs over time have better adult oral health than those who do not. Beliefs about the efficacy of water fluoridation, keeping the mouth clean, avoiding sweet foods, visiting the dentist, using dental floss, and using fluoridated toothpaste were assessed in a birth cohort at ages 15, 18, and 26 years. At each age, the majority of participants endorsed the importance of each practice. However, there was also evidence of instability across time. Individuals who held stable favorable dental beliefs from adolescence through adulthood had fewer teeth missing due to caries, less periodontal disease, better oral hygiene, better self-rated oral health, and more restorations. Dental beliefs can change between adolescence and young adulthood, and these changes are related to oral health. In particular, unfavorable dental health beliefs are related to poorer oral health.


JAMA | 2008

Cannabis Smoking and Periodontal Disease Among Young Adults

W. Murray Thomson; Richie Poulton; Jonathan M. Broadbent; Terrie E. Moffitt; Avshalom Caspi; James D. Beck; David J. Welch; Robert J. Hancox

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 conditions occurrence. CONCLUSION Cannabis smoking may be a risk factor for periodontal disease that is independent of the use of tobacco.


Journal of Public Health Dentistry | 2012

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

La Crocombe; Jonathan M. Broadbent; Thomson Wm; David S. Brennan; Richie Poulton

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.


Hypertension | 2015

Childhood to Early-Midlife Systolic Blood Pressure Trajectories Early-Life Predictors, Effect Modifiers, and Adult Cardiovascular Outcomes

Reremoana Theodore; Jonathan M. Broadbent; Daniel S. Nagin; Antony Ambler; Sean Hogan; Sandhya Ramrakha; Wayne Cutfield; Michael J.A. Williams; HonaLee Harrington; Terrie E. Moffitt; Avshalom Caspi; Barry J. Milne; Richie Poulton

Previous studies examining blood pressure change over time have modeled an average population trajectory. Recent research among older adults suggests there may be subgroups with different blood pressure trajectories. Identifying subgroups at risk of developing adult hypertension early in life can inform effective risk reduction efforts. We sought to identify different systolic blood pressure trajectories from childhood, their correlated risk factors, and early-midlife cardiovascular outcomes. Blood pressure data at ages 7, 11, 18, 26, 32, and 38 years from a longitudinal, representative birth cohort study (n=975) were used to identify 4 distinct trajectory groups via group-based trajectory modeling: normal (21.8%), high-normal (43.3%), prehypertensive (31.6%), and hypertensive (4.2%). The categories refer to blood pressure beginning at the age of 7 years and most recently measured at the age of 38 years. Family history of high blood pressure (odds ratio [OR], 43.23; 95% confidence interval [CI], 5.27–354.65), male sex (OR, 109.48; 95% CI, 26.82–446.96), being first born (OR, 2.5; 95% CI, 1.00–8.69) and low birth weight (OR, 2.79; 95% CI, 2.49–3.09) were associated with hypertensive group membership (compared with the normal group). Higher body mass index and cigarette smoking resulted in increasing blood pressure across trajectories, particularly for the higher blood pressure groups. Prehypertensive and hypertensive trajectory groups had worse cardiovascular outcomes by early midlife. Harmful blood pressure trajectories are identifiable in childhood, associated with both antecedent and modifiable risk factors over time, and predict adult cardiovascular disease risk. Early detection and subsequent targeted prevention and intervention may reduce the lifecourse burden associated with higher blood pressure. # Novelty and Significance {#article-title-34}Previous studies examining blood pressure change over time have modeled an average population trajectory. Recent research among older adults suggests there may be subgroups with different blood pressure trajectories. Identifying subgroups at risk of developing adult hypertension early in life can inform effective risk reduction efforts. We sought to identify different systolic blood pressure trajectories from childhood, their correlated risk factors, and early-midlife cardiovascular outcomes. Blood pressure data at ages 7, 11, 18, 26, 32, and 38 years from a longitudinal, representative birth cohort study (n=975) were used to identify 4 distinct trajectory groups via group-based trajectory modeling: normal (21.8%), high-normal (43.3%), prehypertensive (31.6%), and hypertensive (4.2%). The categories refer to blood pressure beginning at the age of 7 years and most recently measured at the age of 38 years. Family history of high blood pressure (odds ratio [OR], 43.23; 95% confidence interval [CI], 5.27–354.65), male sex (OR, 109.48; 95% CI, 26.82–446.96), being first born (OR, 2.5; 95% CI, 1.00–8.69) and low birth weight (OR, 2.79; 95% CI, 2.49–3.09) were associated with hypertensive group membership (compared with the normal group). Higher body mass index and cigarette smoking resulted in increasing blood pressure across trajectories, particularly for the higher blood pressure groups. Prehypertensive and hypertensive trajectory groups had worse cardiovascular outcomes by early midlife. Harmful blood pressure trajectories are identifiable in childhood, associated with both antecedent and modifiable risk factors over time, and predict adult cardiovascular disease risk. Early detection and subsequent targeted prevention and intervention may reduce the lifecourse burden associated with higher blood pressure.


Caries Research | 2006

Progression of Dental Caries and Tooth Loss between the Third and Fourth Decades of Life: A Birth Cohort Study

Jonathan M. Broadbent; Thomson Wm; Richie Poulton

The majority of what is known of the experience of dental caries among adults is from cross-sectional studies, and there are surprisingly few population-level longitudinal studies of dental caries among adults. Dental examinations were conducted at age 26 and again at age 32 among participants in a longstanding prospective study of a birth cohort born in Dunedin (New Zealand) in 1972/1973. Some 901 individuals (88.8%) were dentally examined at both ages. The mean number of remaining teeth and tooth surfaces fell between 26 and 32, reflecting ongoing tooth loss. The overall prevalence of caries rose from 94.9 to 96.8%, while there were greater increases in the proportion with caries-associated tooth loss (from 10.8 to 22.8%). Caries experience was greatest in the molar teeth and upper premolars, and was lowest in the lower anterior teeth. The mean crude caries increment (CCI) was 5.0 surfaces (SD 6.6); 681 (75.5%) experienced 1+ CCI, and the mean CCI among those individuals was 6.6 surfaces (SD 6.9). Substantial dental caries and tooth loss experience occur as people move from the third into the fourth decade of life.


Caries Research | 2004

Is Attention-Deficit Hyperactivity Disorder a Risk Factor for Dental Caries?

Jonathan M. Broadbent; K.M.S. Ayers; Thomson Wm

Experience in practice has suggested that children with attention-deficit hyperactivity disorder (ADHD) tend to have higher numbers of diseased, missing and filled teeth (DMFT score) than children without the condition. To date, however, this impression has not been systematically investigated. A case-control study of children in Otago, New Zealand (case DMFT ≧ 5; control DMFT <5; case status determined from School Dental Service dental records) was conducted by postal survey and reference to the School Dental Service records. Cases and controls were matched on age, sex, ethnicity, and school socio-economic status. The purpose of the study was to assess whether having ADHD was associated with higher odds of having high caries experience. Questionnaires were returned for a total of 128 case-control pairs. Conditional logistical regression analysis showed that, after controlling for fluoride history, medical problems, diet, and self-reported oral hygiene, children with ADHD had nearly 12 times the odds of having a high DMFT score than children who did not have ADHD (OR = 11.98; 95% CI 1.13, 91.81). No other factors were significant predictors. Dental practitioners and parents should consider ADHD to be a condition that may affect children’s dental caries experience.


Acta Odontologica Scandinavica | 2006

Xerostomia and medications among 32-year-olds.

Thomson Wm; Richie Poulton; Jonathan M. Broadbent; Shaima Al-Kubaisy

Objective. To describe the prevalence and associations of xerostomia among adults in their early thirties, with particular attention to medication exposure as a putative risk factor. Material and Methods. The prevalence and associations of xerostomia were investigated among 32-year-old participants in a long-standing prospective cohort study. Some 950 individuals were assessed at ages 26 and 32 years, with medications being recorded on both occasions. Results. The prevalence of xerostomia was 10.0% (with no apparent gender difference), and was significantly higher among those taking antidepressants (odds ratio = 4.7), iron supplements (OR = 4.1) or narcotic analgesics (OR = 2.4). Those taking antidepressants at both ages 26 and 32 years had 22 times the odds of reporting xerostomia. Conclusion. Xerostomia may be a problem for a sizeable minority of young adults.


British Dental Journal | 2013

Permanent dentition caries through the first half of life

Jonathan M. Broadbent; L.A. Foster Page; Thomson Wm; Richie Poulton

Aim To describe the occurrence of dental caries at the person, tooth and tooth surface level from childhood to early mid-life.Background No studies have reported on age and caries experience in a population-based sample through the first half of life.Methods Prospective cohort study of a complete birth cohort (n = 1,037) born in 1972/73 in Dunedin, New Zealand. Dental examinations were conducted at ages 5, 9, 15, 18, 26, 32 and 38, and participation rates remained high. Surface-level caries data were collected at each age (WHO basic methods). Statistical analyses and graphing of data were undertaken using Intercooled Stata Version 10.Results Data are presented on dental caries experience in the permanent dentition at ages 9, 15, 18, 26, 32 and 38. Percentile curves are charted and reported for person-level caries experience. Data are also presented on the number of decayed teeth and tooth surfaces, (including root surfaces at age 38), as a function of the number of teeth and surfaces present, respectively. Across the cohort, the number of tooth surfaces affected by dental caries increased by approximately 0.8 surfaces per year (on average), while the percentage of at-risk tooth surfaces affected by caries increased by approximately 0.5% per year, with negligible variation in that rate throughout the observation period.Conclusion These unique data show clearly that dental caries continues as a disease of adulthood, remaining important beyond childhood and adolescence and that rates of dental caries over time remain relatively constant.

Collaboration


Dive into the Jonathan M. Broadbent's collaboration.

Top Co-Authors

Avatar

Richie Poulton

University of New South Wales

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Avshalom Caspi

Wisconsin Alumni Research Foundation

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge