A Comprehensive Review on the Effects of Humor in Patients With Depression

Autor: Oghenetega E, Ayisire, Funmilola, Babalola, Bialo, Aladum, Oluwabukola C, Oyeleye-Adegbite, Alexsandra, Urhi, Akinkunmi, Kilanko, Chukwudi, Agbor, Ngozi, Adaralegbe, Garima, Kaur, Chioma, Eze-Njoku, Fareena, Soomro, Victor C, Eche, Hakeem A, Popoola, Gibson O, Anugwom
Rok vydání: 2022
Předmět:
Zdroj: Cureus.
ISSN: 2168-8184
Popis: Depression is a leading cause of disability worldwide and a major contributor to the overall global burden of disease. Although there are known, effective treatments for depression, people in low- and middle-income areas experience multiple barriers which limit their ability to receive adequate treatment. Some known barriers to effective care include a lack of resources, lack of trained healthcare providers, and social stigma associated with mental disorders and this creates gaps in mental health care and the need for more treatment modalities and adjuvant therapies to address these gaps. This review article was conducted using the scale for the assessment of non-systematic review articles (SANRA). We searched three databases; EMBASE, PubMed (MEDLINE), and Google Scholar using specified search terms. We had a total of nine articles with sample sizes ranging from 37 to 1551, and the age of participants ranged from 23 to 93 years. Articles were diverse in race and geographical locations. The articles were derived from cross-sectional studies, randomized studies, and experimental studies, and they focused on the relationship between humor and depression, and the reduced risk of depression in the study population. The articles identified different aspects of the relationship between humor and depression. The willingness of patients with depression to recognize or participate in humor could be defective resulting in abnormal social interactions such as withdrawal. However, there was some significant influence of humor or its styles on patients with depression either mitigating depressive symptoms or having no impact at all.
Databáze: OpenAIRE