婚姻状况和因特定原因的死亡率:瑞典南部基于人口的前性队列研究
Martin Lindström1, Mirnabi Pirouzifard1, Maria Rosvall1,2
1Social Medicine and Health Policy, Department of Clinical Sciences in Malmö and Centre for Primary Health Care Research, Lund University, S-205 02 Malmö, Sweden.
Preventive medicine reports
|January 3, 2024
概括
婚姻状况显著影响男性的死亡风险,单身,离婚或丧偶的人面临更高的全因,心血管和其他原因死亡率. 对于女性来说,没有发现任何显著的关联.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 社会学 社会学 社会学
背景情况:
- 婚姻状况是健康的重要社会决定因素.
- 以前的研究表明,婚姻状况和健康结果之间存在不同的关联.
- 了解这些关联对于公共卫生干预至关重要.
研究的目的:
- 调查婚姻状况与全因,心血管疾病 (CVD),癌症和其他原因死亡率之间的潜在关联.
- 检查婚姻状况与死亡率之间的关系中的潜在性别差异.
主要方法:
- 2008年使用来自瑞典南部的邮政问卷设计的前性队列研究.
- 包括14,750名年龄在45-80岁之间的参与者,并对死亡率数据进行了8.3年的随访.
- 采用多个考克斯回归分析来评估关联,并根据年龄,性别,社会经济地位 (SES) 和健康行为等共变量进行调整.
主要成果:
- 与已婚/同居男性相比,从未结婚/单身,离婚和丧偶的男性在所有原因的死亡率上表现出明显更高的危险率比率 (HRR).
- 对于男性的CVD和其他原因死亡率观察到类似的显著关联,但对于癌症死亡率没有.
- 在多项分析中,没有发现女性的婚姻状况和死亡率之间的统计学意义上的关联.
结论:
- 婚姻状况是死亡率的重要预测因素,特别是在男性中.
- 婚姻状况与死亡风险之间的关联在男性中比女性更为强烈.
- 癌症死亡率在两性中都没有显示出与婚姻状况的统计学意义上的关联.
相关概念视频
Applications of Life Tables
71
Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
71
Relationship Formation
40.0K
What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
40.0K
Assumptions of Survival Analysis
133
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
133
Longitudinal Research
12.0K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.0K
Hypothesis Test for Test of Independence
3.6K
The test of independence is a chi-square-based test used to determine whether two variables or factors are independent or dependent. This hypothesis test is used to examine the independence of the variables. One can construct two qualitative survey questions or experiments based on the variables in a contingency table. The goal is to see if the two variables are unrelated (independent) or related (dependent). The null and alternative hypotheses for this test are:
H0: The two variables (factors)...
H0: The two variables (factors)...
3.6K
Actuarial Approach
79
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
79


