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首页> 外文期刊>American Journal of Preventive Medicine >Interdisciplinarity and systems science to improve population health: a view from the NIH Office of Behavioral and Social Sciences Research.
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Interdisciplinarity and systems science to improve population health: a view from the NIH Office of Behavioral and Social Sciences Research.

机译:跨学科和系统科学可以改善人口健康:NIH行为与社会科学研究办公室的观点。

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Fueled by the rapid pace of discovery, humankind's ability to understand the ultimate causes of preventable common disease burdens and to identify solutions is now reaching a revolutionary tipping point. Achieving optimal health and well-being for all members of society lies as much in the understanding of the factors identified by the behavioral, social, and public health sciences as by the biological ones. Accumulating advances in mathematical modeling, informatics, imaging, sensor technology, and communication tools have stimulated several converging trends in science: an emerging understanding of epigenomic regulation; dramatic successes in achieving population health-behavior changes; and improved scientific rigor in behavioral, social, and economic sciences. Fostering stronger interdisciplinary partnerships to bring together the behavioral-social-ecologic models of multilevel "causes of the causes" and the molecular, cellular, and, ultimately, physiological bases of health and disease will facilitate breakthroughs to improve the public's health. The strategic vision of the Office of Behavioral and Social Sciences Research (OBSSR) at the National Institutes of Health (NIH) is rooted in a collaborative approach to addressing the complex and multidimensional issues that challenge the public's health. This paper describes OBSSR's four key programmatic directions (next-generation basic science, interdisciplinary research, systems science, and a problem-based focus for population impact) to illustrate how interdisciplinary and transdisciplinary perspectives can foster the vertical integration of research among biological, behavioral, social, and population levels of analysis over the lifespan and across generations. Interdisciplinary and multilevel approaches are critical both to the OBSSR's mission of integrating behavioral and social sciences more fully into the NIH scientific enterprise and to the overall NIH mission of utilizing science in the pursuit of fundamental knowledge about the nature andbehavior of living systems and the application of that knowledge to extend healthy life and reduce the burdens of illness and disability.
机译:在迅速发现的推动下,人类了解可预防的常见疾病负担的最终原因并确定解决方案的能力现在正达到革命性的转折点。为社会所有成员实现最佳健康和福祉,不仅取决于对行为科学,社会科学和公共卫生科学所确定的因素的理解,也与对生物科学所确定的因素的理解同样重要。数学建模,信息学,影像学,传感器技术和通信工具方面的累积进步刺激了科学中的几种趋同趋势:对表观基因组调控的新认识;在实现人口健康行为改变方面取得巨大成功;并提高了行为,社会和经济科学的科学严谨性。建立更强的跨学科合作伙伴关系,将多层次“原因”的行为-社会-生态模型以及健康和疾病的分子,细胞乃至最终的生理基础整合在一起,将有助于改善公众健康的突破。美国国立卫生研究院(NIH)行为与社会科学研究所(OBSSR)的战略愿景植根于一种协作方法,以解决挑战公众健康的复杂和多维问题。本文介绍了OBSSR的四个关键程序设计方向(下一代基础科学,跨学科研究,系统科学以及基于问题的人口影响关注点),以说明跨学科和跨学科的观点如何促进生物学,行为学,在整个生命周期和各代人之间进行社会和人口分析。跨学科和多层次的方法对于OBSSR将行为科学和社会科学更充分地整合到NIH科学企业中的使命,以及对于利用科学追求有关生命系统的性质和行为的基本知识以及应用生物技术的整体NIH使命都是至关重要的。该知识可以延长健康寿命并减轻疾病和残疾负担。

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