Relationship of Morbidity and Mortality Between Spouses

描述（由申请人提供）：采用以下观点和方法： 老龄化的人口统计学，我们建议检查之间的关系， 配偶的发病率和死亡率。我们问的问题是 和死亡率或一个配偶，以及发病的时间和性质， 影响发病率、死亡率以及发病的时间和性质 另一方的死亡率例如，死亡的危险是否在一个 配偶（“先证者”）因另一方配偶患病或死亡而增加？如果 那么，先证者患病或死亡的风险如何随着时间的推移而变化， 配偶发病或死亡？这些影响如何根据 配偶患病的严重程度或持续时间？做特定 配偶患病会使先证者处于特别高的发展风险 生病或死亡？社会人口学因素在所有的 这些影响？为了最有效地解决这些问题，我们将创建一个 新的面板数据集，包含人口统计学、社会经济学和健康信息 约有一百万对老年夫妇接受了长达十年的随访。使用 多种均匀历史和固定效果方法，我们将进行四个主要的 分析。首先，我们将评估配偶一方的发病率对死亡率的影响 一手拿我们假设，与不健康配偶结婚的人 比那些与健康配偶结婚的人死亡率更高， 配偶患病，影响越大。我们还假设 配偶发病率的类型（例如，最影响活动水平的疾病） 对先证者来说会更糟第二，我们将重新评估鳏夫效应（鳏夫效应）。 我们要以人为本，以人为本。 丧偶前配偶双方的健康;检查它的时间形状， 详细说明;并评估其对社会经济因素的依赖。三是 评估配偶一方的发病率如何影响另一方的发病率。是 健康的配偶比不健康的配偶更能提供健康福利 结婚吗第四，我们将评估丧偶对发病率的影响， 而不仅仅是死亡率。我们的工作推进了人口统计学 仔细检查一个人的发病率和死亡率是如何 受配偶支持的存在或缺乏的影响;侧重于 人口统计学现象的死因具体方面;审查 理论上有趣的子群体沿着性别，种族，社会经济， 和健康状况线;并阐明了配偶间的机制， 健康影响。我们的工作还具有政策意义，因为它支持更多的 准确预测老年人的健康负担; 针对越来越多的丧偶老年人提供支助服务; 并解决重要的人口，如少数民族，穷人， 老年人、痴呆症患者和护理人员。

DESCRIPTION (provided by applicant): Employing the perspective and methods of the demography of aging, we propose to examine the relationship between the morbidity and mortality of spouses. We ask questions about how the morbidity and mortality or one spouse, and the timing and nature of that morbidity and mortality, affects the morbidity, mortality, and timing and nature of morbidity and mortality in the other spouse. For example, is the hazard of death in one spouse (the "proband") increased by illness or death in the other spouse? If so, how does the proband's hazard of illness or death change over time after the onset of illness or death in spouse? How do these affects vary according to the type of severity or duration of the spouse's morbidity? Do particular illnesses in spouses place probands at particularly high risk of development illness or dying themselves? What role do socio-demographic factors play in all these effects? To address these questions most effectively, we will create a new panel data set with demographics socioeconomic, and health information about one million elderly married couples followed up to ten years. Using a variety of even history and fixed effects methods, we will conduct four main analyses. First, we will evaluate morbidity in one spouse influences mortality in the other. We hypothesize that individuals married to unhealthy spouses will have worst mortality than those married to healthy spouses, and that the longer the spouses is ill, the greater the effect. We also hypothesize the certain types of spousal morbidity (e.g. those that most compromise activities levels) will be worse for probands. Second, we will reevaluate the widower effect (i.e. the increased tendency of the bereaved to die), but we will; adjust for the health of both spouses prior to widowhood; examine it's temporal shape in detail; and assess its dependence on socioeconomic factors. Third, we will evaluate how morbidity in one spouse influences morbidity in the other. Are healthy spouses better able then unhealthy spouses to provide health benefits in marriage? Four, we will evaluate the impact of widowhood on the morbidity, and not just mortality, of bereaved spouses. Our work advances the demographics of aging by; closely examine how an individual's morbidity and mortality are affected by the presence or absence of spousal support; focusing on cause-of-death specific aspects of demographics phenomena; examine theoretically interesting sub-populations along gender, race, socioeconomic, and health status lines; and shedding light on the mechanisms of inter-spousal health effects. Our work also has policy implications in that it; supports more accurate projections of the health burdens in the elderly; facilitates targeting of support services to the growing numbers to the widowed elderly; and addresses important populations, such as minorities the poor, the oldest old, those with dementia, and caregivers.