Background: Pregnant teenagers have been reported to have an increased likelihood of experiencing depression than their non-pregnant peers. There is little research on the risk factors for depression in rural Black adolescents and young adults, especially after the Covid-19 pandemic. Therefore, the current study aimed to identify the prevalence of probable depression and associated factors amongst pregnant and parenting young females.
Method: The study was a cross-sectional design, consisting of 362 pregnant and parenting adolescents and young adults aged 14-22. The study used the Edinburgh Postnatal Depression Scale (EPDS) to measure probable depression. Data were analyzed using Statistical Package for Social Sciences SPSS, version 27.0.
Results: The study found that the overall prevalence of probable depression was 42.8%. The study also found a relationship between alcohol consumption, lack of financial support, unplanned pregnancy, and probable depression in pregnant and parenting adolescents. The prevalence of unplanned pregnancy in the present study was 81.8%.
Conclusion: Furthermore, the present study indicated that participants from low socio-economic status families and those who were HIV positive were at a greater risk of depression in both groups. Therefore, we recommend that measures be put in place for early detection and treatment of depression and that social support be given to adolescent mothers.
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http://dx.doi.org/10.3389/frcha.2023.1200759 | DOI Listing |
Digit Health
January 2025
Department of Psychology, The Pennsylvania State University, University Park, PA, USA.
Objective: Chatbots' rapid advancements raise the possibility that they can be used to deliver mental health support. However, public utilization of and opinions toward chatbots for mental health support are poorly understood.
Methods: Survey study of 428 U.
Front Child Adolesc Psychiatry
October 2023
DIMAMO Population Health Research Centre, University of Limpopo, Polokwane, South Africa.
Background: Pregnant teenagers have been reported to have an increased likelihood of experiencing depression than their non-pregnant peers. There is little research on the risk factors for depression in rural Black adolescents and young adults, especially after the Covid-19 pandemic. Therefore, the current study aimed to identify the prevalence of probable depression and associated factors amongst pregnant and parenting young females.
View Article and Find Full Text PDFFront Public Health
January 2025
School of Athletic Performance, Shanghai University of Sport, Shanghai, China.
Objective: The 2-fold objective of this research is to investigate machine learning's (ML) predictive value for the incidence of depression among China's older adult population and to determine the noteworthy aspects resulting in depression.
Methods: This research selected 7,880 older adult people by utilizing data from the 2020 China Health and Retirement Longitudinal Study. Thereafter, the dataset was classified into training and testing sets at a 6:4 ratio.
JMIR Form Res
January 2025
1, Department of Health Administration, College of Software and Digital Healthcare Convergence, Yonsei University, Changjogwan, Yonseidae-gil 1, Wonju, 26493, Republic of Korea, +82 (0) 33-760-2257.
Background: Diabetes is prevalent in older adults, and machine learning algorithms could help predict diabetes in this population.
Objective: This study determined diabetes risk factors among older adults aged ≥60 years using machine learning algorithms and selected an optimized prediction model.
Methods: This cross-sectional study was conducted on 3084 older adults aged ≥60 years in Seoul from January to November 2023.
BMC Public Health
January 2025
The Emotion & Cognition Lab, Faculty of Psychology and Mental Health, Naval Medical University, Shanghai, 200433, China.
Purpose: Chronic musculoskeletal pain (CMP) is a costly public health threat that is closely related to mental health. This cross-sectional study aimed to investigate the status and factors related to CMP in young males.
Methods: A total of 126 young males with CMP were randomly sampled between June 20 and October 19, 2023.
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