Background: Adolescents are known to be vulnerable to depression, which worsened during the COVID-19 pandemic. They also exhibit poor sleep quality and body image issues (BIIs) which are considered risk factors for depression. There is a paucity of Indian studies regarding adolescent depression and its correlation with lifestyle.
Aims: To detect the prevalence of depression in adolescents, and understand its association with sociodemographic variables, sleep quality, BIIs, and lifestyle factors.
Materials And Methods: A cross-sectional study was conducted among 392 adolescents attending classes 8-12 in two schools in Delhi National Capital Region. A pre-tested semi-structured questionnaire was used to collect sociodemographic and lifestyle data. Depression anxiety stress scale-21 was used to detect depression. Pittsburgh Sleep Quality Index and Stunkard Figure Rating Scale were used to evaluate sleep quality and BIIs. Data was analyzed using Statistical Package for Social Sciences Version-25.
Results: Depression was present in 40.3% of students. It was more common in girls, older students, students in higher classes, who lacked siblings and whose mothers were engaged in professions as well as those with BIIs. However, after multivariate analysis, the association of depression with poor sleep quality, meal skipping, lack of exercise, family history of mental illness, and inverse association with open discussion of one's thoughts and worries with family remained significant.
Conclusions: Depression is common among adolescents and shows associations with poor sleep quality and lifestyle choices. Awareness of these associations may enable better screening and early intervention for vulnerable adolescents.
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http://dx.doi.org/10.4103/indianjpsychiatry.indianjpsychiatry_19_23 | DOI Listing |
J Geriatr Psychiatry Neurol
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Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China.
Within the global population, depression and anxiety are common among older adults. Tai Chi is believed to have a positive impact on these disturbances. This study examined the network structures of depression and anxiety among older Tai Chi practitioners vs non-practitioners.
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Research Unit for Plastic Surgery, University of Southern Denmark, Odense, Denmark.
The WOUND-Q is a patient-reported outcome measure for individuals with any type of chronic wound. This study aimed to identify patient and wound factors associated with the four WOUND-Q health-related quality of life (HRQL) scales: Life impact, Psychological, Sleep, and Social. Adults with a chronic wound were recruited internationally through clinical settings between August 2018 and May 2020, and through an online platform (i.
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Department of Pain, The First People's Hospital of Zunyi City, Zunyi, Guizhou Province, 563000, People's Republic of China.
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Front Digit Health
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Faculty of Engineering and Computing, Liwa College, Abu Dhabi, United Arab Emirates.
The evolution of artificial intelligence (AI) has revolutionised numerous aspects of our daily lives, with profound implications across various sectors, including healthcare. Although the concept of AI in healthcare was introduced in the early 1970s, the integration of this technology in healthcare is still in the evolution phase. Despite barriers, the current decade is witnessing an increased utility of AI into diverse specialities of the medical field to enhance precision medicine, predict diagnosis, therapeutic results, and prognosis; this includes respiratory medicine, critical care, and in their allied specialties.
View Article and Find Full Text PDFObjective: To systematically evaluate the efficacy of hyperbaric oxygen therapy for non-motor symptoms in patients with Parkinson's disease.
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