Empirical evidence of predictive adaptive response in humans: systematic review and meta-analysis of migrant populations.

IF 1.8 4区 医学 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Clara Bueno López, Guillermo Gómez Moreno, Alberto Palloni
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引用次数: 0

Abstract

Meta-analysis is used to test a variant of a Developmental Origins of Adult Health and Disease (DOHaD)'s conjecture known as predictive adaptive response (PAR). According to it, individuals who are exposed to mismatches between adverse or constrained in utero conditions, on the one hand, and postnatal obesogenic environments, on the other, are at higher risk of developing adult chronic conditions, including obesity, type 2 diabetes (T2D), hypertension and cardiovascular disease. We argue that migrant populations from low and middle to high-income countries offer a unique opportunity to test the conjecture. A database was constructed from an exhaustive literature search of peer-reviewed papers published prior to May 2021 contained in PUBMED and SCOPUS using keywords related to migrants, DOHaD, and associated health outcomes. Random effects meta-regression models were estimated to assess the magnitude of effects associated with migrant groups on the prevalence rate of T2D and hypertension in adults and overweight/obesity in adults and children. Overall, we used 38 distinct studies and 78 estimates of diabetes, 59 estimates of hypertension, 102 estimates of overweight/obesity in adults, and 23 estimates of overweight/obesity in children. Our results show that adult migrants experience higher prevalence of T2D than populations at destination (PR 1.48; 95% CI 1.35-1.65) and origin (PR 1.80; 95% CI 1.40-2.34). Similarly, there is a significant excess of obesity prevalence in children migrants (PR 1.22; 95% CI 1.04-1.43) but not among adult migrants (PR 0.89; 95% CI 0.80-1.01). Although the total effect of migrant status on prevalence of hypertension is centered on zero, some migrant groups show increased risks. Finally, the size of estimated effects varies significantly by migrant groups according to place of destination. Despite limitations inherent to all meta-analyses and admitting that some of our findings may be accounted for alternative explanations, the present study shows empirical evidence consistent with selected PAR-like conjectures.

人类预测性适应反应的经验证据:对移民人群的系统回顾和荟萃分析。
元分析用于检验成人健康与疾病的发展起源(DOHaD)猜想的一个变体,即预测性适应反应(PAR)。根据这一猜想,在不利或受限的子宫内条件与产后肥胖环境之间处于不匹配状态的个体,成年后患慢性疾病(包括肥胖、2 型糖尿病(T2D)、高血压和心血管疾病)的风险较高。我们认为,从中低收入国家到高收入国家的移民人口为验证这一猜想提供了独特的机会。通过对 PUBMED 和 SCOPUS 中 2021 年 5 月之前发表的同行评审论文进行详尽的文献检索,并使用与移民、DOHaD 和相关健康结果有关的关键词,我们建立了一个数据库。我们估算了随机效应元回归模型,以评估移民群体对成人终末期糖尿病和高血压患病率以及成人和儿童超重/肥胖症患病率的影响程度。总体而言,我们使用了 38 项不同的研究和 78 个糖尿病估计值、59 个高血压估计值、102 个成人超重/肥胖估计值和 23 个儿童超重/肥胖估计值。我们的结果显示,成年移民的 T2D 患病率高于目的地人口(PR 1.48;95% CI 1.35-1.65)和原籍人口(PR 1.80;95% CI 1.40-2.34)。同样,儿童移民(PR 1.22;95% CI 1.04-1.43)的肥胖患病率也明显高于成人移民(PR 0.89;95% CI 0.80-1.01)。虽然移民身份对高血压患病率的总影响集中于零,但一些移民群体的风险有所增加。最后,根据目的地的不同,移民群体的估计效应大小也有很大差异。尽管所有荟萃分析都存在固有的局限性,而且我们也承认我们的一些研究结果可能有其他解释,但本研究显示的经验证据与某些类似 PAR 的猜想是一致的。
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来源期刊
Journal of Developmental Origins of Health and Disease
Journal of Developmental Origins of Health and Disease PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
3.80
自引率
0.00%
发文量
145
审稿时长
6-12 weeks
期刊介绍: JDOHaD publishes leading research in the field of Developmental Origins of Health and Disease (DOHaD). The Journal focuses on the environment during early pre-natal and post-natal animal and human development, interactions between environmental and genetic factors, including environmental toxicants, and their influence on health and disease risk throughout the lifespan. JDOHaD publishes work on developmental programming, fetal and neonatal biology and physiology, early life nutrition, especially during the first 1,000 days of life, human ecology and evolution and Gene-Environment Interactions. JDOHaD also accepts manuscripts that address the social determinants or education of health and disease risk as they relate to the early life period, as well as the economic and health care costs of a poor start to life. Accordingly, JDOHaD is multi-disciplinary, with contributions from basic scientists working in the fields of physiology, biochemistry and nutrition, endocrinology and metabolism, developmental biology, molecular biology/ epigenetics, human biology/ anthropology, and evolutionary developmental biology. Moreover clinicians, nutritionists, epidemiologists, social scientists, economists, public health specialists and policy makers are very welcome to submit manuscripts. The journal includes original research articles, short communications and reviews, and has regular themed issues, with guest editors; it is also a platform for conference/workshop reports, and for opinion, comment and interaction.
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