Background: Although the bidirectional association between depressive symptoms and adiposity has been recognized, the contribution of neighborhood factors to this relationship has not been assessed.
Objective: This study evaluates whether physical and social neighborhood environments modify the bidirectional relationship between depressive symptoms and adiposity (measured by waist circumference and body mass index).
Methods: Using data on 5,122 men and women (ages 45 to 84 years) from the Multi-Ethnic Study of Atherosclerosis (MESA) we investigated whether neighborhood physical (i.e., walking environment and availability of healthy food) and social (i.e., safety, aesthetics, and social coherence) environments modified the association between the following: (1) baseline elevated depressive symptoms (Center for Epidemiologic Study Depression Scale score ≥ 16) and change in adiposity (as measured by waist circumference and body mass index) and (2) baseline overweight/obesity (waist circumference > 102 cm for men and >88 cm for women, or body mass index ≥ 25 kg/m(2)) and change in depressive symptoms using multilevel models. Neighborhood-level factors were obtained from the MESA Neighborhood Study.
Results: A greater increase in waist circumference in participants with vs without elevated depressive symptoms was observed in those living in poorly-rated physical environments but not in those living in better-rated environments (interaction p = 0.045). No associations were observed with body mass index. Baseline overweight/obesity was not associated with change in depressive symptoms and there was no modification by neighborhood-level factors.
Conclusions: Elevated depressive symptoms were associated with greater increase in waist circumference among individuals living in poorly-rated physical environments than in those in better-rated physical environments. No association was found between overweight/obesity and change in depressive symptoms.
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http://dx.doi.org/10.1016/j.psym.2013.10.008 | 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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