Stephen Oluwaniyi

Dr. Stephen Oluwaniyi

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Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2021 in Epilepsy & Behavior
Verified
Journal Article
Closed access
AOAndrew Toyin Olagunju
Andrew Toyin Olagunju
ABAyodeji A. Bioku
Ayodeji A. Bioku
JOJude U. Ohaeri
Jude U. Ohaeri
SOStephen Oluwaniyi
Stephen Oluwaniyi
ALAngela Li
Angela Li
GCGary A. Chaimowitz
Gary A. Chaimowitz

19 August 2026 in Acta Psychiatrica Scandinavica
Verified
Journal Article
Closed access
PDF file
NXNi Xu
Ni Xu
OFOrestes V. Forlenza
Orestes V. Forlenza
PCPeijun Chen
Peijun Chen
SRSoham Rej
Soham Rej
AGAriel Gildengers
Ariel Gildengers
TIThe Gage‐Bd Initiative
The Gage‐Bd Initiative

15 April 2026 in Medicina
Verified
Journal Article
Open access
PDF file
CCCarol K. Chan
Carol K. Chan
KRKasia Gustaw Rothenberg
Kasia Gustaw Rothenberg
FBFarren B. S. Briggs
Farren B. S. Briggs
AMAmulya Mallu
Amulya Mallu
NFNicole Marie Fiorelli
Nicole Marie Fiorelli
MSMartha M. Sajatovic
Martha M. Sajatovic
Background and Objectives: There are known associations between bipolar disorder and obesity, but it has not been well characterized in older adults with bipolar disorder (OABD). This study aims to examine body mass index (BMI) and its clinical correlations in OABD. Materials and Methods: A secondary analysis was conducted using data from the Global Aging and Geriatric Experiments in Bipolar Disorder (GAGE-BD) project, an international harmonized dataset of OABD cohorts. To examine the relationship between BMI and clinical characteristics (e.g., sex, psychiatric history, symptom severity, medication use, comorbidities), multivariable linear regression and multinomial logistic regression models with random effect for study cohort were used, with BMI as a continuous and as an ordinal (underweight vs. healthy weight vs. overweight vs. obese) dependent variable, respectively. Results: Of 1,226 OABD participants with BMI data, 405 (33.0%) were classified as overweight (BMI 25–29.99) and 462 (37.7%) as obese (BMI > 30). In linear regression models, higher BMI was associated with younger age, higher number of somatic comorbidities, and anticonvulsant use, while lower BMI was associated with lithium use. In logistic regression models, obesity was associated with cardiovascular comorbidity, musculoskeletal comorbidity and endocrine comorbidity. Conclusions: A high proportion of individuals with OABD are overweight or obese. Several demographic and clinical correlations of higher BMI were found, including younger age, higher number of medical comorbidities and anticonvulsant use. Clinicians should monitor and manage weight changes and associated comorbidities, and promote lifestyle and health interventions to minimize the risk of negative health outcomes associated with high BMI.