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Prevalence and predictors of depression, anxiety, and stress among adults in Ghana: A community-based cross-sectional study

INTRODUCTION: Over the past two decades, there have been several global interventions including the Sustainable Development Goals (SDGs), aimed at improving health outcomes. Despite efforts by countries to achieve the SDG targets, mental health challenges remain major public health concerns globally...

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Detalles Bibliográficos
Autores principales: Amu, Hubert, Osei, Eric, Kofie, Philip, Owusu, Richard, Bosoka, Samuel Adolf, Konlan, Kennedy Diema, Kim, Eunji, Orish, Verner Ndudiri, Maalman, Raymond Saa-Eru, Manu, Emmanuel, Parbey, Phyllis Atta, Saah, Farrukh Ishaque, Mumuni, Hadiru, Appiah, Prince Kubi, Komesuor, Joyce, Ayanore, Martin Amogre, Amenuvegbe, Gregory Kofi, Kim, Siwoo, Jung, Hajun, Adjuik, Martin, Tarkang, Elvis Enowbeyang, Alhassan, Robert Kaba, Donkor, Ernestina Safoa, Zottor, Francis Bruno, Kweku, Margaret, Amuna, Paul, Kim, So Yoo, Gyapong, John Owusu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8500438/
https://www.ncbi.nlm.nih.gov/pubmed/34624044
http://dx.doi.org/10.1371/journal.pone.0258105
Descripción
Sumario:INTRODUCTION: Over the past two decades, there have been several global interventions including the Sustainable Development Goals (SDGs), aimed at improving health outcomes. Despite efforts by countries to achieve the SDG targets, mental health challenges remain major public health concerns globally. We examined the prevalence and predictors of depression, anxiety, and stress as well as the comorbidities of these mental health issues among adults. MATERIALS AND METHODS: This was a community-based cross-sectional study conducted among 2456 adults in four districts of the Volta Region of Ghana using data from the UHAS-Yonsei University Partnership Project. We analysed the data using frequency, percentage, mean, standard deviation, correlation, and binary logistic regression. RESULTS: Overall, 51.8% of the participants had at least one of the mental health issues examined. The prevalence of a mental health issue was 25.2%, 53.3%, and 9.7% for depression, anxiety, and stress respectively. Participants constituting 8.3% experienced all three mental health issues as comorbidities. Participants’ level of formal education and income significantly predicted depression, anxiety, and stress respectively at the multivariable level. Adults with a tertiary level of education were, for instance, 68% (AOR = 0.32, 95%CI = 0.15–0.66), 65% (AOR = 0.35, 95%CI = 0.17–0.73), and 50% (AOR = 0.50, 95%CI = 0.33–0.76) less likely to experience depression, anxiety, and stress, respectively compared with those who had no formal education. CONCLUSION: The majority of our study participants either experienced depression, anxiety, or stress. There were quite high comorbidities of the mental health issues among the adult population. To accelerate progress towards the achievement of SDG 3.4 target of promoting mental health and wellbeing for all by the year 2030, there is a need for effective implementation of the country’s 2012 Mental Health Act which makes provisions for the establishment of a Mental Health Fund. This could improve the financial circumstances of indigenes as income has been realised in the present study as an important factor influencing depression, anxiety, and stress among the adult population.