Depression Clinical Trial
— NutriMindOfficial title:
The NutriMind Trial: A Low-cost Randomized Trial Combining a Healthy Diet and Psychotherapy to Treat Depressive Symptoms Among University Students - The Case of Uganda
University students in Low- and Middle-Income Countries (LMIC) continue to face growing rates of depression, a common mental health problem. Adding to this burden is the mental health treatment gap, necessitating the need to identify new treatment methods that can easily be implemented at a large scale. This project will test if a healthy diet combined with mindfulness-based cognitive therapy can reduce depressive symptoms among university students in Uganda, a low resource country. The burden of depression is high in sub-Saharan African countries, largely worsened by poverty, hunger and poor public health service, and lately the COVID-19 pandemic. These factors increase psychological distress among young people in sensitive periods of life, such as students who are about to choose their career and establish family. Successfully managing depression in LMIC is likely to depend on low-cost treatment that can easily be managed to large target populations, yet still be at the scientific forefront, proof-based, and culturally acceptable. This can possibly be obtained with an intervention combining healthy diet and cognitive behavioral therapy based on mindfulness principles. While healthy diets and mindfulness cognitive therapy individually can partly lessen the burden of depression, these two therapeutic modalities have not been tested in combination among university students in sub-Saharan Africa, i.e. a synergistic effect that is still to be studied. With the NutriMind Trial, its investigators focus on a neglected global mental health challenge, namely depression among university students in Uganda.
Status | Recruiting |
Enrollment | 500 |
Est. completion date | December 30, 2025 |
Est. primary completion date | December 30, 2025 |
Accepts healthy volunteers | No |
Gender | All |
Age group | N/A and older |
Eligibility | Inclusion criteria: - Those who score between 16 and 25 on the CES-D scale - Completed >1 study-year of study and have >2 study-years before graduation - Not using any medication regularly that might interfere with study adherence or - outcomes - Giving consent to participate Exclusion criteria: - Not being diagnosed with chronic disorder or cancer - Not being pregnant - Not having food allergy- or intolerance - Not having experienced recent bereavement or major personal loss (e.g. income or divorce) |
Country | Name | City | State |
---|---|---|---|
Uganda | Makerere University | Kampala | Central Uganda |
Lead Sponsor | Collaborator |
---|---|
University of Bergen | Makerere University, University of Oslo |
Uganda,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Change from baseline to 24 months in depressive symptoms using the Center for Epidemiological Studies - Depression (CES-D) score among the study participants randomized to each of the three intervention arms compared with the controls. | Depressive symptoms will be assessed using the CES-D score from before to after the intervention. CES-D scores range from 0 to 60, with higher scores indicating greater depressive symptoms. The CES-D provides cut-off scores (16 or greater) to aid in identifying individuals at risk for clinical depression, with good sensitivity and specificity and high internal consistency. | 24 months | |
Secondary | Change from baseline to 24 months in depressive symptoms using the Beck Depression Inventory-II (BDI-II) score among the study participants randomized to each of the three intervention arms compared with the controls. | BDI-II is a self-reported, validated tool for screening depressive symptoms on a 4-point scale with 21 questions, giving a range of 0-63. A score > 10 strongly indicates depression. | 24 months | |
Secondary | The health economic costs of each of the three intervention arms compared with the control group. | Health economic costs of the interventions on change in depressive symptoms will be evaluated using standard cost-effectiveness methods including sensitivity analysis. Investigators will convert the CES-D and BDI-II scores into a generic health measure (e.g. disability/quality adjusted life years) for this purpose. | 24 months | |
Secondary | Change from baseline to 24 months in body weight among the study participants randomized to each of the three intervention arms compared with the controls. | Weight in kilograms will be measured using a scale (to the nearest 100 g) | 24 months | |
Secondary | Change from baseline to 24 months in body height among the study participants randomized to each of the three intervention arms compared with the controls. | Height in meters will be measured using a scale (to the nearest cm) | 24 months | |
Secondary | Change from baseline to 24 months in body composition among the study participants randomized to each of the three intervention arms compared with the controls. | Body composition (i.e. percentage of fat, bone, water and lean body mass) will be assessed with bio-impedance. | 24 months | |
Secondary | Change from baseline to 24 months in blood cholesterol levels among the study participants randomized to each of the three intervention arms compared with the controls. | Blood cholesterol (mmol/l) will be analyzed using standard biochemistry methods, levels above the reference range indicate increased risk of cardiovascular disease. | 24 months | |
Secondary | Change from baseline to 24 months in blood CRP levels among the study participants randomized to each of the three intervention arms compared with the controls. | Blood CRP (mg/l) will be analyzed using standard biochemistry methods, levels above the reference range indicate increased risk of cardiovascular disease. | 24 months | |
Secondary | Change from baseline to 24 months in fecal microbiota composition levels among the study participants randomized to each of the three intervention arms compared with the controls. | Microbiota (percentage distribution of various bacteria) will be analysed feces using 16S rRNA amplicon sequencing. Less diverse microbiota composition may indicate increased risk of depression and other non-communicable diseases. | 24 months |
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