Background The environment plays a large role in the health of individuals; however, more research is needed to better understand aspects of the environment that most influence health. Specifically, our study examines how the social environment influences cardiovascular health (CVH). Methods and Results The social environment was characterized using measures of belonging and life and work stress in individuals, as well as nationally derived measures of marginalization, deprivation, economic status, and community well-being in neighborhoods. CVH was defined by the American Heart Association's Cardiovascular Health Index-a summed score of 7 clinical and behavioral components known to have the greatest impact on CVH. Data were obtained from the Canadian Community Health Survey 2015 to 2016 and multiple national data sources. Multilevel regression models were used to analyze the associations between CVH and the social environment. Overall, 27% of Canadians reported ideal CVH (6-7 score points), 68% reported intermediate CVH (3-5 score points), and 5% reported poor CVH (0-2 score points). The neighborhood environment contributed up to 7% of the differences in CVH between individuals. Findings indicated that residing in a neighborhood with greater community well-being (odds ratio [OR], 1.33 [95% CI, 1.26-1.41]) was associated with achieving higher odds of ideal CVH, while weaker community belonging (OR, 0.67 [95% CI, 0.62-0.72]) and residing in a neighborhood with greater marginalization (OR, 0.87 [95% CI, 0.82-0.91]) and deprivation (OR, 0.67 [95% CI, 0.64-0.69]) were associated with achieving lower odds of ideal CVH. Conclusions Aspects of individual-level social environment and residing in a neighborhood with a more favorable social environment were both independently and significantly associated with achieving ideal CVH.
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http://dx.doi.org/10.1161/JAHA.122.026790 | DOI Listing |
J Eval Clin Pract
February 2025
Department of Midwifery, Faculty of Health Sciences, Biruni University, Istanbul, Türkiye.
Introduction: The sense of smell is one of the most developed and important senses that forms the bond between the newborn and the mother and allows the newborn to reach the mother's breast. The sense of smell begins to form during intrauterine life, and the sense of smell can be a marking tool for a newborn baby, so that the baby can recognize both his mother and his immediate environment and develop his behaviour accordingly. This is necessary not only for feeding babies but also for them to feel safe and peaceful in their new environment.
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December 2024
Institute for Advanced Study, Technical University of Munich, 85748, Garching, Germany.
We examined how urban environments affect the abundance, proportion, and diversity of plumage color morphs in feral pigeons. Five major plumage color morphs (black, blue, white, red, and mixed) were counted in sixty 25-ha plots in Poznań City (Poland). Generalized additive models were used to study the correlations among abundance, proportion of morphs, and environmental factors.
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December 2024
College of Geography and Environment, Shandong Normal University, Jinan, 250358, China.
The urban agglomeration represents the predominant form of new urbanisation, yet the evolution of its internal spatial structure exhibits pronounced spatial and temporal heterogeneity. This study concentrates on the Bohai Rim urban agglomeration, one of three major urban agglomerations in China, which has received comparatively limited research attention but has also undergone substantial urbanisation. Therefore, we reassessed and explored the spatial-temporal evolution of the spatial structure of urban expansion using Exploratory Spatiotemporal Data Analysis (ESTDA), and summarized the driving mechanisms using Geographically and Temporally Weighted Regression (GTWR).
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December 2024
State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu, 610065, China.
Addressing the need to harmonize environment conservation and sustainable economic development within the Yellow River Basin (YRB) requires a profound comprehension of the spatiotemporal dynamics of urban ecosystem resilience. This study developed an index system utilizing the resistance-adaptability-recovery framework to measure these dynamics. By applying the advanced multi-attribute boundary area comparison method and a spatial autocorrelation model, we investigated the spatiotemporal variations and spatial correlation patterns of urban ecological resilience across the YRB.
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