Marital Status and Trajectories of Depressive Symptoms Among Older Adults of Mexican Descent

Little is known about the implications of marital status for the age patterning of depressive symptoms in later life. Drawing on seven waves of data from the Hispanic Established Population for the Epidemiologic Study of the Elderly, this research uses growth curve models to examine age trajectories of depressive symptoms among continuously married and recently and continuously widowed older adults of Mexican descent (aged 65 years and older; N = 1,452). The findings demonstrate that despite having a higher mean level of depressive symptoms, the recently widowed experienced a similar rate of increase in distress with age to that of their married counterparts. Compared with the married, the continuously widowed had a steeper rise in depressive symptoms with age, although they had fewer symptoms at younger ages in later life. Physical health, financial strain, social support, and church attendance might account to a certain extent for marital status differences in depressive symptoms across later life.

Age Trajectories of Physical Health Among Older Adults of Mexican Descent: Implications of Immigrant Status, Age at Immigration, and Gender

OBJECTIVE

This study examines consequences of immigrant status, age at immigration, and gender on age trajectories of activities of daily living (ADL) limitations and chronic conditions among older adults of Mexican descent.

METHOD

This research draws on 7 waves of the Hispanic Established Populations for the Epidemiologic Study of the Elderly and employs growth curve models.

RESULTS

All men had similar age trajectories of ADL limitations, regardless of immigrant status and age at immigration. All women experienced steeper increases in ADL limitations, although U.S.-born women and those who immigrated by age 19 had lower initial levels. Men who immigrated between ages 20 and 49 had steeper increases in chronic conditions, despite lower initial levels. U.S.-born women and those women who immigrated by age 50 had more chronic conditions at age 65.

DISCUSSION

This study highlights the multidimensional nature of physical health by demonstrating that immigrant status-gender disparities can vary by the health outcome examined.

How lifespan associated genes modulate aging changes: lessons from analysis of longitudinal data

BACKGROUND AND OBJECTIVE

The influence of genes on human lifespan is mediated by biological processes that characterize body's functioning. The age trajectories of these processes contain important information about mechanisms linking aging, health, and lifespan. The objective of this paper is to investigate regularities of aging changes in different groups of individuals, including individuals with different genetic background, as well as their connections with health and lifespan.

DATA AND METHOD

To reach this objective we used longitudinal data on four physiological variables, information about health and lifespan collected in the Framingham Heart Study (FHS), data on longevity alleles detected in earlier study, as well as methods of statistical modeling.

RESULTS

We found that phenotypes of exceptional longevity and health are linked to distinct types of changes in physiological indices during aging. We also found that components of aging changes differ in groups of individuals with different genetic background.

CONCLUSIONS

These results suggest that factors responsible for exceptional longevity and health are not necessary the same, and that postponing aging changes is associated with extreme longevity. The genetic factors which increase lifespan are associated with physiological changes typical of healthy and long-living individuals, smaller mortality risks from cancer and CVD and better estimates of adaptive capacity in statistical modeling. This indicates that extreme longevity and health related traits are likely to be less heterogeneous phenotypes than lifespan, and studying these phenotypes separately from lifespan may provide additional information about mechanisms of human aging and its relation to chronic diseases and lifespan.

Insights on aging and exceptional longevity from longitudinal data: novel findings from the Framingham Heart Study

Age trajectories of physiological indices contain important information about aging-related changes in the human organism and therefore may help us understand human longevity. The goal of this study is to investigate whether shapes of such trajectories earlier in life affect the residual life span distribution. We used longitudinal limited access data from seven physiological indices and life spans of respective individuals collected in the Framingham Heart Study (FHS). These include: diastolic blood pressure (DBP), pulse pressure (PP), body mass index (BMI), serum cholesterol (SCH), blood glucose (BG), hematocrit (HC), and pulse rate (PR). We developed a method for assigning individuals to groups of potentially long-lived (PLL) and potentially medium-lived (PML) groups using age trajectories of physiological indices at the age interval between 40 and 60 years. The analysis shows that the longevity of individuals who survived to age of 65 depends on the behavior of the physiological indices between 40 and 60 years of age.