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Progress in preventive medicine (New York, N.Y.)最新文献

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The P4 Health Spectrum – A Predictive, Preventive, Personalized and Participatory Continuum for Promoting Healthspan P4健康谱——促进健康跨度的预测性、预防性、个性化和参与性连续体
Pub Date : 2017-03-01 DOI: 10.1097/pp9.0000000000000002
M. Sagner, Amy McNeil, P. Puska, C. Auffray, N. Price, L. Hood, C. Lavie, Ze-Guang Han, Zhu Chen, S. Brahmachari, B. McEwen, M. Soares, R. Balling, E. Epel, R. Arena
Chronic diseases (i.e., noncommunicable diseases), mainly cardiovascular disease, cancer, respiratory diseases and type-2-diabetes, are now the leading cause of death, disability and diminished quality of life on the planet. Moreover, these diseases are also a major financial burden worldwide, significantly impacting the economy of many countries. Healthcare systems and medicine have progressively improved upon the ability to address infectious diseases and react to adverse health events through both surgical interventions and pharmacology; we have become efficient in delivering reactive care (i.e., initiating interventions once an individual is on the verge of or has actually suffered a negative health event). However, with slowly progressing and often ‘silent’ chronic diseases now being the main cause of illness, healthcare and medicine must evolve into a proactive system, moving away from a merely reactive approach to care. Minimal interactions among the specialists and limited information to the general practitioner and to the individual receiving care lead to a fragmented health approach, non-concerted prescriptions, a scattered follow-up and a suboptimal cost-effectiveness ratio. A new approach in medicine that is predictive, preventive, personalized and participatory, which we label here as “P4” holds great promise to reduce the burden of chronic diseases by harnessing technology and an increasingly better understanding of environment-biology interactions, evidence-based interventions and the underlying mechanisms of chronic diseases. In this concept paper, we propose a ‘P4 Health Continuum’ model as a framework to promote and facilitate multi-stakeholder collaboration with an orchestrated common language and an integrated care model to increase the healthspan.
慢性疾病(即非传染性疾病),主要是心血管疾病、癌症、呼吸系统疾病和2型糖尿病,现在是地球上死亡、残疾和生活质量下降的主要原因。此外,这些疾病也是全世界的主要财政负担,严重影响了许多国家的经济。医疗保健系统和医学通过外科干预和药理学,逐步提高了应对传染病和应对不良健康事件的能力;我们在提供反应性护理方面变得高效(即,一旦个人处于或实际遭受负面健康事件的边缘,就开始干预)。然而,随着进展缓慢且往往“沉默”的慢性病现在成为疾病的主要原因,医疗保健和医学必须发展成为一个积极主动的系统,摆脱仅仅是被动的护理方法。专家之间的互动最少,向全科医生和接受护理的个人提供的信息有限,导致健康方法分散,处方不一致,随访分散,成本效益比不理想。一种预测性、预防性、个性化和参与性的新医学方法,我们在这里称之为“P4”,它有望通过利用技术和对环境生物学相互作用、循证干预和慢性病的潜在机制的日益深入的理解,减轻慢性病的负担。在这篇概念论文中,我们提出了一个“P4健康连续体”模型,作为一个框架,通过精心编排的通用语言和综合护理模型来促进和促进多方利益相关者的合作,以增加健康跨度。
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引用次数: 171
Depressive Symptoms Are Positively Associated with Time Spent Sedentary in Healthy Young US Adults 美国健康年轻人的抑郁症状与久坐时间呈正相关
Pub Date : 2017-02-01 DOI: 10.1097/pp9.0000000000000004
Keith Brazendale, C. Drenowatz, R. Falck, A. Randel, Jared D. Hoffmeyer, G. Hand, S. Burgess, S. Blair
Introduction: Sedentary time and depressive symptoms are positively associated in elderly adults and adults with chronic disease; however, little is known about this relationship in generally healthy young adults. The purpose of this study was to investigate the association between objectively measured sedentary time and depressive symptoms in a large sample of healthy young adults. Methods: Time spent sedentary and in moderate-to-vigorous physical activity (MVPA) was measured in 430 participants (49% men; 28 ± 4 years; 25.5 ± 3.3 kg/m2) using the SenseWear Mini Armband over a 10-day period. The Profile of Mood States depression scale was administered to assess depressive symptoms. Independent samples t tests investigated differences in MVPA, time spent sedentary, and Profile of Mood States scores between males and females. Linear regression analyses, adjusting for MVPA, sex, and body mass index, were employed to examine associations between sedentary time and depressive symptoms. Results: Mean time spent sedentary while awake was 681 ± 94 min/d. Holding MVPA constant, depressive symptoms were positively associated with sedentary time (&bgr; = 1.80; P < 0.01; R2 = 0.54). This association was statistically significant in males (&bgr; = 2.06; P < 0.01; R2 = 0.59) but not females (P = 0.10). Conclusions: Depressive symptoms are positively associated with time spent sedentary in healthy young US adults, independent of MVPA, particularly in men. A reduction in sedentary time may provide a valuable, low cost, option in the prevention of depressive symptoms.
引言:老年人和患有慢性病的成年人的久坐时间和抑郁症状呈正相关;然而,人们对这种关系在一般健康的年轻人中知之甚少。本研究的目的是在大量健康年轻人样本中调查客观测量的久坐时间与抑郁症状之间的关系。方法:430名参与者(49%为男性;28±4岁;25.5±3.3 kg/m2)在10天内使用SenseWear迷你臂章测量了久坐和中等强度体力活动(MVPA)的时间。情绪状态抑郁量表用于评估抑郁症状。独立样本t检验调查了男性和女性在MVPA、久坐时间和情绪状态档案得分方面的差异。采用线性回归分析,调整MVPA、性别和体重指数,以检查久坐时间和抑郁症状之间的关系。结果:清醒时久坐不动的平均时间为681 ± 94 分钟/天。在MVPA不变的情况下,抑郁症状与久坐时间呈正相关(&bgr;=1.80;P<0.01;R2=0.54)。这种相关性在男性中具有统计学意义(.bgr;=2.06;P<0.01;R2=0.59),但在女性中没有统计学意义(P=0.10),尤其是男性。减少久坐时间可以为预防抑郁症状提供一种有价值、低成本的选择。
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引用次数: 3
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Progress in preventive medicine (New York, N.Y.)
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