A. Singh

University of Melbourne
Country flagAustralia

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (11)

Existing studies on multimorbidity have largely excluded oral diseases in multimorbidity prevalence estimates. The reason behind this is somewhat unclear, as chronic oral conditions are highly prevalent, affecting over half the global population. To address this gap, we examined the relationship between social disadvantage and multimorbidity, stratifying by the inclusion and exclusion of oral conditions. For participants aged 30 y and over ( n = 3,693), cross-sectional analysis was carried out using the US National Health and Nutrition Survey (2013–2014). Multimorbidity was defined as having 2 or more chronic conditions. Five medical conditions were examined: diabetes, asthma, arthritis, cardiovascular disease, and depression, as well as 4 oral health conditions: caries, periodontal disease, number of teeth, and edentulousness. Education and income poverty ratio were selected as measures of social disadvantage. Multimorbidity prevalence estimates according to social disadvantage were analyzed on an absolute and relative scale using inverse probability treatment weighting (IPTW), adjusting for age, sex, and ethnicity. The inclusion of oral health conditions in the assessment of multimorbidity increased the overall prevalence of multimorbidity from 20.8% to 53.4%. Findings from IPTW analysis demonstrated clear social gradients for multimorbidity estimates stratified by the exclusion of oral conditions. Upon inclusion of oral conditions, the prevalence of multimorbidity was higher across all social groups for both education and income. Stratifying by the inclusion of oral conditions, the mean probability of multimorbidity was 27% (95% confidence interval [CI], 23%–30%) higher in the low-education group compared to the high-education group. Similarly, the mean probability of multimorbidity was 44% (95% CI, 40%–48%) higher in the low-income group. On a relative scale, low education was associated with a 1.52 times (95% CI, 1.44–1.61) higher prevalence of multimorbidity compared to high education. Low income was associated with a 2.18 (95% CI, 1.99–2.39) higher prevalence of multimorbidity. This novel study strongly supports the impact of chronic oral conditions on multimorbidity prevalence estimates.

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (16)

Hanny Calache

Professor Paediatric Dentistry

La Trobe University - Bendigo Campus

AUSTRALIA
View details

Diana Contreras Suarez

University of Melbourne

AUSTRALIA
View details

Georgios Tsakos

University College London

UNITED KINGDOM
View details

John Su

Adjunct Clinical Professor

MONASH UNIVERSITY

AUSTRALIA
View details

Jaithri Ananthapavan

-

AUSTRALIA
View details

Dinh S. Bui

-

AUSTRALIA
View details

Lyrian Daniel

University of South Australia

AUSTRALIA
View details

Sheena G. Sullivan

A/Prof

MONASH UNIVERSITY

AUSTRALIA
View details

Tania King

University of Melbourne

AUSTRALIA
View details

Cathrine Mihalopoulos

-

AUSTRALIA
View details

Roger Keller Celeste

Karolinska Institutet

SWEDEN
View details

Shyamali Dharmage

Professor (full time) and Head of the Allergy and Lung Health Unit

University of Melbourne

AUSTRALIA
View details

Richard Watt

University College London

UNITED KINGDOM
View details

Bathsheba Turton

Assistant Professor

Boston University

UNITED STATES
View details

Diego Lopez

University of Melbourne

AUSTRALIA
View details

Andrew RUGG-GUNN

Professor Emeritus

Newcastle University

UNITED KINGDOM
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.