Healthy aging: A bibliometric analysis of the literature

脑老化 多学科方法 成功老龄化 健康衰老 热卡限制 人口老龄化 老年学 心理干预 疾病 医学 心理学 人口 环境卫生 政治学 病理 精神科 法学
作者
Yaohua Gu,Jinbing Bai,Xiaoli Chen,Wenwen Wu,Xiangxiang Liu,Xiaodong Tan
出处
期刊:Experimental Gerontology [Elsevier BV]
卷期号:116: 93-105 被引量:18
标识
DOI:10.1016/j.exger.2018.11.014
摘要

Due to dramatic growth of the aging population worldwide, there has been an urgent call for a public health strategy to manage healthy aging, with the ultimate goal being advancement of aging research. Considerable progress has been made in uncovering the mystery of aging process using multidisciplinary methods. There is a growing consensus in the field that aging traits which were originally thought to be disparate are likely to be interconnected. Thus, emerging research is needed to incorporate current findings of aging by building multiscale network models. This study reported the network of healthy aging research using bibliometric approaches. Based on the results, aging of the brain and muscle is a primary research focus which is a critical part of the multiscale network regulating the aging process. Among aging-associated diseases, Alzheimer's disease and frailty are among the main research focuses, and emerging work has focused on developing diagnostic tools for these diseases. For research on anti-aging interventions, calorie restriction, physical activity, and anti-aging pharmacology are the main interventions, of which the underlying mechanisms have been comprehensively studied in animal models.

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