Tolu Francesco, Palermo Mario, Dore Maria Pina, Errigo Alessandra, Canelada Ana, Poulain Michel, Pes Giovanni Mario
1S.C. di Endocrinologia, Malattie della Nutrizione e del Ricambio - Azienda Ospedaliero-Universitaria di Sassari, Viale San Pietro 43, Sassari, Italy.
2Department of Medical, Surgical and Experimental Medicine, University of Sassari, Sassari, Italy.
Eur J Ageing. 2019 Mar 22;16(4):405-414. doi: 10.1007/s10433-019-00510-4. eCollection 2019 Dec.
This study aims to test the hypothesis that a high prevalence of endemic goitre, considered as a proxy measure for subclinically reduced thyroid function in the population, is geographically associated with exceptional longevity. Using historical data available for 377 Sardinian municipalities in the first half of the twentieth century, we performed an ecological study to investigate the geographic distribution of goitre and its spatial association with demographic indicators of population longevity. This analysis was conducted by using both conventional ordinary least square and geographically weighted regression models to take into account spatial autocorrelation and included other longevity-associated factors previously identified in Sardinia. The spatial analysis revealed that the goitre rate ( < 0.0001), the proportion of inhabitants involved in pastoralism ( = 0.016), the terrain inclination ( = 0.008), and the distance from the workplace as a proxy for physical activity ( = 0.023) were consistently associated with population longevity at an aggregated level in the 377 municipalities. Within the limits of an ecological study design, our findings support the existence of a significant association between high goitre prevalence and increased probability to survive into old age. The present study confirms previous results and is consistent with animal studies and epidemiological surveys in other long-lived areas known as Blue Zones. Potential mechanisms underlying this association need to be further investigated.
作为人群亚临床甲状腺功能减退替代指标的地方性甲状腺肿高患病率,在地理上与超长寿命相关。利用20世纪上半叶377个撒丁岛自治市的现有历史数据,我们进行了一项生态研究,以调查甲状腺肿的地理分布及其与人口长寿人口统计学指标的空间关联。该分析使用传统的普通最小二乘法和地理加权回归模型进行,以考虑空间自相关性,并纳入了撒丁岛先前确定的其他与长寿相关的因素。空间分析显示,在377个自治市的总体水平上,甲状腺肿发病率(<0.0001)、从事畜牧业的居民比例(=0.016)、地形坡度(=0.008)以及作为身体活动替代指标的与工作场所的距离(=0.023)始终与人口长寿相关。在生态研究设计的范围内,我们的研究结果支持甲状腺肿高患病率与活到老年的概率增加之间存在显著关联。本研究证实了先前的结果,并且与其他被称为“蓝色地带”的长寿地区的动物研究和流行病学调查结果一致。这种关联的潜在机制需要进一步研究。