Background: Social networks and social support are supposed to contribute to the development of unequal health within populations. However, little is known about their socio-economic distribution. In this study, we explore this distribution.
Methods: This study analyses the association of two indicators of socio-economic position, education and income, with different measures of social networks and support. Cross-sectional data have been derived from the baseline examination of an epidemiological cohort study of 4.814 middle aged urban inhabitants in Germany (Heinz Nixdorf Recall Study). Bivariate and multivariate logistic regression analysis were carried out to estimate the risk of having poor social networks and support across socio-economic groups.
Results: Socially disadvantaged persons more often report poor social networks and social support. In multivariate analyses, based on education, odds ratios range from 1.0 (highest education) to 4.9 (lowest education) in a graded way. Findings based on income show similar effects, ranging from 1.0 to 2.5. There is one exception: no association of SEP with close ties living nearby and regularly seen was observed.
Conclusion: Poor social networks and low social support are more frequent among socio-economically disadvantaged people. To some extent, this finding varies according to the indicator chosen to measure these social constructs.
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http://dx.doi.org/10.1186/1475-9276-7-13 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Department of Biology, University of Oxford, Oxford OX1 3SZ, United Kingdom.
Experiments have shown that when one plant is attacked by a pathogen or herbivore, this can lead to other plants connected to the same mycorrhizal network up-regulating their defense mechanisms. It has been hypothesized that this represents signaling, with attacked plants producing a signal to warn other plants of impending harm. We examined the evolutionary plausibility of this and other hypotheses theoretically.
View Article and Find Full Text PDFFront Pharmacol
January 2025
MOE Key Laboratory for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China.
Introduction: Neuroimaging studies have demonstrated that intranasal oxytocin has extensive effects on the resting state functional connectivity of social and emotional processing networks and may have therapeutic potential. However, the extent to which intranasal oxytocin modulates functional connectivity network topology remains less explored, with inconsistent findings in the existing literature. To address this gap, we conducted an exploratory data-driven study.
View Article and Find Full Text PDFFront Psychol
January 2025
Youth Resilience Unit, Academic Unit, Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom.
Background: Understanding resilience factors in children is essential for developing early mental health interventions. Middle childhood is an understudied developmental stage, with many quantitative measures lacking validation for this age group and not capturing diverse experiences. This study aimed to use body mapping, an arts-based method, as a novel approach to understand 7-10-year-old children's concepts of resilience (including definitions and factors that contribute to resilience) in East London.
View Article and Find Full Text PDFHeliyon
January 2025
Institute of Basic Operational Technology, China Telecom Research Institute, Guangzhou, 510630, China.
Accurate and efficient traffic prediction directly determines the construction scale and investment budget of communication networks, which is crucial for network planning. Despite the rise of popular machine learning models, traditional statistical models maintain significant advantages in interpretability, controllability and simplicity, retaining an essential role in contemporary communication network traffic prediction. This paper analyzes and predicts the inter-provincial egress traffic of 31 provinces in a large-scale operational IP backbone network using traditional regression analysis, the time series Prophet model, and a novel combination of these two prediction models.
View Article and Find Full Text PDFBr J Psychiatry
January 2025
Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China.
Background: Knowledge is growing on the essential role of neural circuits involved in aberrant cognitive control and reward sensitivity for the onset and maintenance of binge eating.
Aims: To investigate how the brain's reward (bottom-up) and inhibition control (top-down) systems potentially and dynamically interact to contribute to subclinical binge eating.
Method: Functional magnetic resonance imaging data were acquired from 30 binge eaters and 29 controls while participants performed a food reward Go/NoGo task.
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