Purpose Of Study: About 25% of older adults suffer from depressive symptoms. Commonly studied candidate genes associated with depression include those that influence serotonin (SLC6A4), dopamine (COMT), or neuroplasticity (BDNF, NTRK3). However, the majority of candidate gene studies do not consider the interplay of genetics, demographic, clinical, and behavioral factors and how they jointly contribute to depressive symptoms among older adults. The purpose of this study was to gain a more comprehensive understanding of depressive symptoms among older adults.
Design And Methods: In this descriptive study, demographic, behavioral, and clinical characteristics (age, gender, comorbidities, volunteering, physical activity, pain, and fear of falling) were obtained via interview of 114 residents in a continuing care retirement community. Peripheral whole blood was collected for DNA extraction. We examined common single nucleotide polymorphisms (SNPs) in the aforementioned genes using path analyses.
Results: SNPs in the NTRK3 gene, pain, physical activity, and fear of falling were directly associated with depressive symptoms in older adults. Those who had polymorphisms in the NTRK3 gene, pain, fear of falling, and were less physically active were more likely to exhibit depressive symptoms. None of the SNPs in SLC6A4, COMT, or BDNF genes were significantly associated with depressive symptoms.
Implications: Our use of a path analysis to examine a biopsychosocial model of depressive symptoms provided the opportunity to describe a comprehensive clinical picture of older adults at risk for depressive symptoms. Thus, interventions could be implemented to identify older adults at risk for depressive symptoms.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4566914 | PMC |
http://dx.doi.org/10.1093/geront/gnv015 | DOI Listing |
JMIR Med Inform
January 2025
Sungkyunkwan University, Seoul, Republic of Korea.
Background: Mental health chatbots have emerged as a promising tool for providing accessible and convenient support to individuals in need. Building on our previous research on digital interventions for loneliness and depression among Korean college students, this study addresses the limitations identified and explores more advanced artificial intelligence-driven solutions.
Objective: This study aimed to develop and evaluate the performance of HoMemeTown Dr.
PLoS One
January 2025
Department of Otolaryngology Head and Neck Surgery, Yanbian University Affiliated Hospital, Yanji City, Yanbian Korean Autonomous Prefecture, Jilin Province, China.
Introduction: This meta-analysis examined the relationship between age-related hearing loss (ARHL) and depression in older adults, and further explored whether this relationship is moderated by age and gender.
Methods: We searched in 4 English databases: PubMed, Embase, Web of Science, and Cochrane Library. Ultimately, we identified 9 studies, involving 3 cohort studies and 6 cross-sectional studies.
Purpose: This study investigates mental health-related content to delineate potentially deficient topics for improvement in future obstetrics and gynecology (OBGYN) resident educational curriculum initiatives.
Method: In this quantitative content analysis, educational resources commonly used by OBGYN residents were selected based on a 2020 multi-institutional survey of OBGYN residents and informal group discussion with 32 OBGYN residents from a New York academic institution in April 2020. After independent screening, the authors iteratively developed, tested, and implemented a coding scheme for relevant keywords.
Background: Poststroke depression (PSD) is a highly prevalent and serious mental health condition affecting a significant proportion of stroke survivors worldwide. While its exact causes remain under investigation, managing PSD presents a significant challenge.
Aim: This study aimed to evaluate the prevalence and predictors of depression among Bangladeshi stroke victims.
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