4 research outputs found
Advancing Research on Racial–Ethnic Health Disparities: Improving Measurement Equivalence in Studies with Diverse Samples
To conduct meaningful, epidemiologic research on racial–ethnic health disparities, racial–ethnic samples must be rendered equivalent on other social status and contextual variables via statistical controls of those extraneous factors. The racial–ethnic groups must also be equally familiar with and have similar responses to the methods and measures used to collect health data, must have equal opportunity to participate in the research, and must be equally representative of their respective populations. In the absence of such measurement equivalence, studies of racial–ethnic health disparities are confounded by a plethora of unmeasured, uncontrolled correlates of race–ethnicity. Those correlates render the samples, methods, and measures incomparable across racial–ethnic groups, and diminish the ability to attribute health differences discovered to race–ethnicity vs. to its correlates. This paper reviews the non-equivalent yet normative samples, methodologies and measures used in epidemiologic studies of racial–ethnic health disparities, and provides concrete suggestions for improving sample, method, and scalar measurement equivalence
Living arrangements, intergenerational support types and older adult loneliness in Eastern and Western Europe
BACKGROUND
Previous research has shown that living arrangements (independent households of those living alone or as a couple, versus coresident households encompassing adult children) are important determinants of older adults’ loneliness. However, little is known about intergenerational support exchanges in these living arrangements and their associations with loneliness.
OBJECTIVE
Our aim is to contribute to the knowledge on associations between living arrangements and loneliness, by taking into account and differentiating intergenerational support types.
METHODS
Using data from the Generations and Gender Surveys of three countries in Eastern Europe and two countries in Western Europe, Latent Class Analyses was applied to develop intergenerational support types for (a) co-residing respondents in Eastern Europe, (b) respondents in independent households in Eastern Europe, and (c) respondents in independent households in Western Europe, respectively. Six types resulted, distinguishing patterns of upward support, downward support and get-togethers. Subsequently, we used linear regression analyses to examine differences in loneliness by region, living arrangements and intergenerational support type.
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RESULTS
Findings show higher levels of loneliness in Eastern than in Western Europe. Older adults living alone are most lonely, older adults living with a partner are least lonely. Coresidence provides protection, but not to the same degree as a partner. In both co-resident and independent households there is a greater likelihood of being involved in support given to adult children than in support received from adult children. In both East and West European countries, older adults who are primarily on the receiving side are most lonely.
CONCLUSIONS
A better explanation of older adult loneliness is obtained if the direction of supportive exchanges with adult children is considered than if only living arrangements are considered.