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Use Of Mobile Technology To Identify Behavioral Mechanisms Linked To Mental Health Outcomes In Kenya: Protocol For Development And Validation Of A Predictive Model, Willie Njoroge, Rachel Maina, Frank Elena, Lukoye Atwoli, Anthony Ngugi, Srijan Sen, Stephen Wong, Linda Khakali, Andrew Aballa, James Orwa, Moses Nyongesa, Jasmit Shah, Amina Abubakar, Zul Merali Apr 2024

Use Of Mobile Technology To Identify Behavioral Mechanisms Linked To Mental Health Outcomes In Kenya: Protocol For Development And Validation Of A Predictive Model, Willie Njoroge, Rachel Maina, Frank Elena, Lukoye Atwoli, Anthony Ngugi, Srijan Sen, Stephen Wong, Linda Khakali, Andrew Aballa, James Orwa, Moses Nyongesa, Jasmit Shah, Amina Abubakar, Zul Merali

Brain and Mind Institute

Objective:This study proposes to identify and validate weighted sensor stream signatures that predict near-term risk of a major depressive episode and future mood among healthcare workers in Kenya.

Approach: The study will deploy a mobile application (app) platform and use novel data science analytic approaches (Artificial Intelligence and Machine Learning) to identifying predictors of mental health disorders among 500 randomly sampled healthcare workers from five healthcare facilities in Nairobi, Kenya.

Expectation: This study will lay the basis for creating agile and scalable systems for rapid diagnostics that could inform precise interventions for mitigating depression and ensure a healthy, resilient …


Correction: Prevalence Of Lifestyle Cardiovascular Risk Factors And Estimated Framingham 10-Year Risk Scores Of Adults With Psychotic Disorders Compared To Controls At A Referral Hospital In Eldoret, Kenya., Edith Kwobah, Nastassja Koen, Ann Mwangi, Lukoye Atwoli, Dan Stein Feb 2024

Correction: Prevalence Of Lifestyle Cardiovascular Risk Factors And Estimated Framingham 10-Year Risk Scores Of Adults With Psychotic Disorders Compared To Controls At A Referral Hospital In Eldoret, Kenya., Edith Kwobah, Nastassja Koen, Ann Mwangi, Lukoye Atwoli, Dan Stein

Brain and Mind Institute

No abstract provided.


Prevalence Of Lifestyle Cardiovascular Risk Factors And Estimated Framingham 10-Year Risk Scores Of Adults With Psychotic Disorders Compared To Controls At A Referral Hospital In Eldoret, Kenya, Edith Kwobah, Nastassja Koen, Ann Mwangi, Lukoye Atwoli, Dan Stein Dec 2023

Prevalence Of Lifestyle Cardiovascular Risk Factors And Estimated Framingham 10-Year Risk Scores Of Adults With Psychotic Disorders Compared To Controls At A Referral Hospital In Eldoret, Kenya, Edith Kwobah, Nastassja Koen, Ann Mwangi, Lukoye Atwoli, Dan Stein

Brain and Mind Institute

Introduction: Lifestyle factors such as smoking, alcohol use, suboptimal diet, and inadequate physical activity have been associated with increased risk of cardiovascular diseases. There are limited data on these risk factors among patients with psychosis in low- and middle-income countries.

Objectives: This study aimed to establish the prevalence of lifestyle cardiovascular risk factors, and the 10-year cardiovascular risk scores and associated factors in patients with psychosis compared to controls at Moi Teaching and Referral Hospital in Eldoret, Kenya.

Methods: A sample of 297 patients with schizophrenia, schizoaffective disorder, or bipolar mood disorder; and 300 controls matched for age and sex …


12-Month Substance Use Disorders Among First-Year University Students In Kenya, Florence Jaguga, Muthoni Mathai, Caroline Ayuya, Ongecha Francisca, Catherine Mawia Musyoka, Jasmit Shah, Lukoye Atwoli Nov 2023

12-Month Substance Use Disorders Among First-Year University Students In Kenya, Florence Jaguga, Muthoni Mathai, Caroline Ayuya, Ongecha Francisca, Catherine Mawia Musyoka, Jasmit Shah, Lukoye Atwoli

Brain and Mind Institute

Objectives: The period of entry into university represents one of vulnerability to substance use for university students. The goal of this study is to document the 12-month prevalence of substance use disorders among first year university students in Kenya, and to test whether there is an association between substance use disorders and mental disorders.

Methods: This was a cross-sectional online survey conducted in 2019 and 2020 as part of the World Health Organization’s World Mental Health International College Student (WMH-ICS) survey initiative. A total of 334 university students completed the survey. Descriptive statistics were used to summarize the demographic characteristics …