心血管疾病及其他疾病中的性别问题

S. Peters, M. Woodward
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The first manifestation of CVD is also different between sexes; women are more likely to have stroke as their first event, while men are more likely to have coronary heart disease (CHD). Presenting symptoms of CHD and stroke can also be different between women and men, which may undermine timely diagnosis and management. Furthermore, although current guidelines for prevention of CVD do not generally differentiate between women and men, women often receive inferior treatments. Also, while the key modifiable risk factors for CVD are the same for women and men, including high blood pressure, smoking, high cholesterol, obesity and diabetes, there are some notable sex differences in the magnitude of the adverse effects conferred by these risk factors. For example, while diabetes is a strong risk factor for myocardial infarction (MI) in both women and men, the magnitude of the excess risk of MI conferred by diabetes is almost 50% greater in women than in men. Similarly, current smoking, as compared with never, is associated with a 55% greater excess risk of MI in women than in men. There is a strong link between gender empowerment and the female to male smoking prevalence ratio; countries with the highest women empowerment also have the highest relative female smoking prevalence. Despite growing recognition of the impact of gender in CVD, studies investigating the impact of genderrelated characteristics on the onset of CVD are scarce. Bolijn and colleagues address this important evidence gap. Using data from the Healthy Life in an Urban Setting (HELIUS) study, a multiethnic cohort study in Amsterdam, the Netherlands, they assessed the relationship between six genderrelated characteristics and the risk of incident CVD. The analyses included 18 058 participants (57% women) without prior CVD. Study participants were relatively young for a study on risk factors for CVD incidence; the mean age at study baseline was 44 years in both sexes. Despite this, 194 men and 165 women had been hospitalised for, or died of, CVD during 5 years of followup, leading to an agestandardised CVD incidence per 1000 personyears of 5.4 in men and 3.4 in women. These rates are comparable with those from the Global Burden of Disease Study, which estimated that the incidence of CVD in the Netherlands in 2019 for those aged 40–44 years and 45–49 years, respectively, was 4.5 and 7.9 per 1000 personyears for men and 3.1 and 3.7 per 1000 personyears for women. Unlike many other studies, Bolijn and colleagues not only presented the association between genderrelated characteristics and CVD risk in terms of relative risk, but also in terms of absolute risk. The latter is important given that men routinely have a higher risk of CVD than do women. A risk factor with an identical relative risk for women and men will thus have a greater effect on the risk difference in men than in women. This was clearly illustrated by our late friend and colleague Elizabeth Millett, who showed that the risks of MI were substantially lower in women than in men, even in the presence of risk factors that conferred a greater relative risk in women. To provide the research community, health policy makers and the public with a full picture of sex differences in CVD risk factors, we therefore recommended that all future studies on sex differences in risk factors should present the results both in terms of relative risk and risk differences. In the analyses by Bolijn and colleagues, none of the genderrelated characteristics was associated with risk of CVD in men. In women, they found that those spending a moderate amount of time on household activities (7.75–16 hours a week) had a 44% lower risk of CVD compared with those spending little time (<3 hours a week). Compared with being in fulltime employment, women who were home makers were at 134% greater risk of CVD. 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The factors studied by Bolijn and colleagues capture some of the socially constructed gender norms that exist in relation to work and emotional support in a highincome setting in Europe. To date, there has been no standard way to operationalise gender in epidemiological studies. However, previous studies have shown that there are sex differences in the relationship between other genderrelated factors and CVD. 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Similarly, current smoking, as compared with never, is associated with a 55% greater excess risk of MI in women than in men. There is a strong link between gender empowerment and the female to male smoking prevalence ratio; countries with the highest women empowerment also have the highest relative female smoking prevalence. Despite growing recognition of the impact of gender in CVD, studies investigating the impact of genderrelated characteristics on the onset of CVD are scarce. Bolijn and colleagues address this important evidence gap. Using data from the Healthy Life in an Urban Setting (HELIUS) study, a multiethnic cohort study in Amsterdam, the Netherlands, they assessed the relationship between six genderrelated characteristics and the risk of incident CVD. The analyses included 18 058 participants (57% women) without prior CVD. Study participants were relatively young for a study on risk factors for CVD incidence; the mean age at study baseline was 44 years in both sexes. Despite this, 194 men and 165 women had been hospitalised for, or died of, CVD during 5 years of followup, leading to an agestandardised CVD incidence per 1000 personyears of 5.4 in men and 3.4 in women. These rates are comparable with those from the Global Burden of Disease Study, which estimated that the incidence of CVD in the Netherlands in 2019 for those aged 40–44 years and 45–49 years, respectively, was 4.5 and 7.9 per 1000 personyears for men and 3.1 and 3.7 per 1000 personyears for women. Unlike many other studies, Bolijn and colleagues not only presented the association between genderrelated characteristics and CVD risk in terms of relative risk, but also in terms of absolute risk. The latter is important given that men routinely have a higher risk of CVD than do women. A risk factor with an identical relative risk for women and men will thus have a greater effect on the risk difference in men than in women. 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引用次数: 4

摘要

性别和性别是几乎所有主要死亡和疾病原因的根本驱动因素,而性别平等已被证明可以在人口层面改善妇女和男子的健康。“性”一词通常用于描述生物学特征,而“性别”则用于描述社会结构。性别和性别与年龄、社会经济地位、种族和民族等健康的其他关键驱动因素交织在一起。在过去的十年里,心血管疾病(CVD)的几个方面出现了许多具有临床意义的性别差异。尽管考虑到女性的预期寿命较长,其一生风险相似,但男性心血管疾病的发病时间约提前5-10年。CVD的第一种表现也因性别而异;女性更容易发生中风,而男性更容易患冠心病。CHD和中风的症状在女性和男性之间也可能不同,这可能会影响及时诊断和治疗。此外,尽管目前预防心血管疾病的指南通常没有区分女性和男性,但女性往往接受较差的治疗。此外,尽管心血管疾病的主要可改变风险因素对女性和男性来说是相同的,包括高血压、吸烟、高胆固醇、肥胖和糖尿病,但这些风险因素带来的不良影响的程度存在一些显著的性别差异。例如,尽管糖尿病是女性和男性心肌梗死(MI)的一个重要风险因素,但糖尿病导致的MI过度风险在女性中几乎比男性高50%。同样,目前吸烟与从不吸烟相比,女性患心肌梗死的风险比男性高55%。性别赋权与男女吸烟率之间有着密切的联系;妇女赋权最高的国家也有最高的相对女性吸烟率。尽管人们越来越认识到性别在心血管疾病中的影响,但研究性别相关特征对心血管疾病发病的影响的研究却很少。Bolijn及其同事解决了这一重要的证据空白问题。他们使用来自荷兰阿姆斯特丹的多民族队列研究“城市环境中的健康生活”(HELIUS)研究的数据,评估了六种性别相关特征与心血管疾病发病风险之间的关系。分析包括18 058名参与者(57%为女性),他们之前没有心血管疾病。对于CVD发病率的危险因素研究,研究参与者相对年轻;研究基线时,男女的平均年龄均为44岁。尽管如此,在5年的随访中,194名男性和165名女性因心血管疾病住院或死亡,导致每1000人年的年龄标准化心血管疾病发病率为男性5.4例,女性3.4例。这些发病率与全球疾病负担研究的发病率相当,该研究估计,2019年荷兰40-44岁和45-49岁人群的心血管疾病发病率,男性分别为4.5和7.9‰,女性分别为3.1和3.7‰。与许多其他研究不同,Bolijn及其同事不仅在相对风险方面,而且在绝对风险方面,提出了性别相关特征与心血管疾病风险之间的关联。后者很重要,因为男性患心血管疾病的风险通常高于女性。因此,女性和男性相对风险相同的风险因素对男性风险差异的影响将大于女性。我们已故的朋友和同事Elizabeth Millett清楚地说明了这一点,她表明,即使存在赋予女性更大相对风险的风险因素,女性患MI的风险也远低于男性。因此,为了向研究界、卫生政策制定者和公众全面了解心血管疾病风险因素的性别差异,我们建议未来所有关于风险因素性别差异的研究都应同时从相对风险和风险差异的角度给出结果。在Bolijn及其同事的分析中,没有任何性别相关特征与男性心血管疾病的风险相关。在女性中,他们发现,与那些花很少时间(每周<3小时)的人相比,那些花适量时间(每周7.75-16小时)在家庭活动上的人患心血管疾病的风险低44%。与全职工作相比,家庭主妇女性患心血管疾病的风险高134%。作者得出结论,对于女性来说,传统的女性特征可能与心血管疾病的低风险有关。这与之前一项针对年轻急性冠状动脉综合征(ACS)患者的研究结果一致,该研究表明,女性与更高的复发性ACS风险相关,与女性无关。 由于这两项研究都相对较小,需要进一步的研究来证实这些发现,并评估在不同性别规范的环境中的稳健性。Bolijn及其同事的研究中包含的性别相关特征只涵盖了共同包含性别结构的一些方面。事实上,性别结构可以从三个相关的方面来描述:性别规范、性别认同和性别关系,它们共同包含了社会构建的角色、关系、行为、相对权力和社会通常赋予妇女和男子的其他特征。Bolijn及其同事研究的因素反映了欧洲高收入环境中与工作和情感支持相关的一些社会构建的性别规范。到目前为止,在流行病学研究中还没有标准的性别操作方法。然而,先前的研究表明,其他性别相关因素与心血管疾病之间的关系存在性别差异。例如,对7项研究(包括7 095 655名参与者和128 961例心血管疾病死亡)的汇总分析评估了婚姻状况与荷兰乌得勒支大学医学中心朱利叶斯健康科学与初级保健中心乔治全球健康研究所伦敦帝国理工学院公共卫生学院,英国新南威尔士大学乔治全球健康研究所,澳大利亚新南威尔士州悉尼
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sex and gender matter in cardiovascular disease and beyond
Sex and gender are fundamental drivers of virtually all major causes of death and disease, while gender equality has been shown to improve the health of both women and men at the population level. The term ‘sex’ is generally used to describe biological characteristics, while ‘gender’ is used to address social constructs. Sex and gender are intertwined and interconnect with other key drivers of health, such as age, socioeconomic position, race and ethnicity. Over the past decade, many clinically meaningful sex differences in several aspects of cardiovascular disease (CVD) have been uncovered. Although the lifetime risks are similar when women’s longer life expectancy is considered, CVD develops about 5–10 years earlier in men. The first manifestation of CVD is also different between sexes; women are more likely to have stroke as their first event, while men are more likely to have coronary heart disease (CHD). Presenting symptoms of CHD and stroke can also be different between women and men, which may undermine timely diagnosis and management. Furthermore, although current guidelines for prevention of CVD do not generally differentiate between women and men, women often receive inferior treatments. Also, while the key modifiable risk factors for CVD are the same for women and men, including high blood pressure, smoking, high cholesterol, obesity and diabetes, there are some notable sex differences in the magnitude of the adverse effects conferred by these risk factors. For example, while diabetes is a strong risk factor for myocardial infarction (MI) in both women and men, the magnitude of the excess risk of MI conferred by diabetes is almost 50% greater in women than in men. Similarly, current smoking, as compared with never, is associated with a 55% greater excess risk of MI in women than in men. There is a strong link between gender empowerment and the female to male smoking prevalence ratio; countries with the highest women empowerment also have the highest relative female smoking prevalence. Despite growing recognition of the impact of gender in CVD, studies investigating the impact of genderrelated characteristics on the onset of CVD are scarce. Bolijn and colleagues address this important evidence gap. Using data from the Healthy Life in an Urban Setting (HELIUS) study, a multiethnic cohort study in Amsterdam, the Netherlands, they assessed the relationship between six genderrelated characteristics and the risk of incident CVD. The analyses included 18 058 participants (57% women) without prior CVD. Study participants were relatively young for a study on risk factors for CVD incidence; the mean age at study baseline was 44 years in both sexes. Despite this, 194 men and 165 women had been hospitalised for, or died of, CVD during 5 years of followup, leading to an agestandardised CVD incidence per 1000 personyears of 5.4 in men and 3.4 in women. These rates are comparable with those from the Global Burden of Disease Study, which estimated that the incidence of CVD in the Netherlands in 2019 for those aged 40–44 years and 45–49 years, respectively, was 4.5 and 7.9 per 1000 personyears for men and 3.1 and 3.7 per 1000 personyears for women. Unlike many other studies, Bolijn and colleagues not only presented the association between genderrelated characteristics and CVD risk in terms of relative risk, but also in terms of absolute risk. The latter is important given that men routinely have a higher risk of CVD than do women. A risk factor with an identical relative risk for women and men will thus have a greater effect on the risk difference in men than in women. This was clearly illustrated by our late friend and colleague Elizabeth Millett, who showed that the risks of MI were substantially lower in women than in men, even in the presence of risk factors that conferred a greater relative risk in women. To provide the research community, health policy makers and the public with a full picture of sex differences in CVD risk factors, we therefore recommended that all future studies on sex differences in risk factors should present the results both in terms of relative risk and risk differences. In the analyses by Bolijn and colleagues, none of the genderrelated characteristics was associated with risk of CVD in men. In women, they found that those spending a moderate amount of time on household activities (7.75–16 hours a week) had a 44% lower risk of CVD compared with those spending little time (<3 hours a week). Compared with being in fulltime employment, women who were home makers were at 134% greater risk of CVD. The authors conclude that, for women, traditionally feminine characteristics might be related with lower risk of CVD. This is in agreement with findings from a previous study in young patients with acute coronary syndrome (ACS), which showed that feminine gender was associated with a higher risk of recurrent ACS, independent of female sex. As both studies were relatively small, further studies will be needed to confirm these findings and to assess the robustness in settings with different gender norms. The genderrelated characteristics included in the study by Bolijn and colleagues capture only some of the aspects that together encompass the gender construct. Indeed, the gender construct can be described in three related dimensions: gender norms, gender identity and gender relations, which together encompass the socially constructed roles, relationships, behaviours, relative power and other traits that societies routinely ascribe to women and men. The factors studied by Bolijn and colleagues capture some of the socially constructed gender norms that exist in relation to work and emotional support in a highincome setting in Europe. To date, there has been no standard way to operationalise gender in epidemiological studies. However, previous studies have shown that there are sex differences in the relationship between other genderrelated factors and CVD. For example, a pooled analysis of seven studies including 7 095 655 participants and 128 961 CVD deaths assessed sex differences in the relationship between marital status and Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands The George Institute for Global Health, School of Public Health, Imperial College London, London, UK The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
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