REPRODUCTIVE AND PARENTAL CORRELATES OF CARDIOMETABOLIC RISK IN GLOBAL POPULATIONS OF OLDER ADULTS

全球老年人群心血管代谢风险的生殖和父母相关因素

阅读:2

Abstract

A substantial body of research investigates potentially-modifiable individual risk factors for cardiovascular (CVD) diseases including tobacco use, physical inactivity, and clustered metabolic risk factors. In older adults, however, many of these “modifiable” factors are conditioned by exposure to a lifetime of socially- and culturally-established determinants. Some of the most intractable are tied to gender norms, which strongly influence reproductive timing and frequency and are among the most life-altering events in the human experience, both physiologically (women) and socially. To date, numerous studies investigate female lifetime parity and CVD, as well as adolescent childbirth and all-cause mortality. Many observe robust associations and attribute the findings to the physiological consequences of pregnancy. Almost all of this research takes place in high-income settings and few interrogate the complex constellation of influences on reproduction and its long-term health consequences. Very few look at male populations. In this symposium, we present findings from middle and high-income populations investigating age at first childbirth (AFB) and number of children on cardiometabolic diseases. We begin with results of a systematic review investigating associations between AFB and CVD. It highlights conceptual and methodological gaps in previous approaches to the topic. The next two studies present results from an international cohort of community-dwelling older adults with sites in Canada and middle-income countries, each characterized by divergent gender norms and human develop indices. Finally, we present results on lifetime number of children in men and women in the United States and associations with heart disease and stroke.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。