The purpose of this pilot study was to examine the characters portrayed on "prime-time" television drama in an attempt to determine how they compared, with the distribution represented in U. S. Census Bureau data for sex, marital status and occupational status. In pursuing this objective, it was also concerned with the development of a method of content analysis that would not require use of a videotape recorder.

This study examines single mothers compared to coupled mothers and the differences in their public and private practices of religiosity. Data come from the Pew Forum on Religion and Public Life, 2007 U.S. Religious Landscape Survey. The study explores the influence of marital status between single and coupled mothers by using regression models to control for income, age, education, and race. Findings suggest that, while there are differences in single and coupled mothers in both their public and private practices of religiosity, the cause of these differences is being driven by other social factors rather than marital status alone. Income, age, education, and race account for most of the differences between single and coupled mother’s religious practices.

No description available.

This study investigated the relationship between marital status, network density, and loneliness for women in the church. Participants were 144 women from several churches of the same Protestant denomination. They responded to a questionnaire which included the Revised UCLA Loneliness Scale and measures of the importance of the church as a social support to the individual. A one-way analysis of variance revealed that the married women who worship alone reported significantly higher levels of loneliness than did single women (R

In this report from the Childhood Cancer Survivor Study (CCSS), we described marriage and divorce rates in survivors of childhood cancer, as compared to a sibling control group and the general U.S. population. We also sought to identify patient and treatment characteristics that were associated with survivor marital status. This study included 8,930 five-year survivors of childhood malignancy and 2,855 sibling controls participating in the CCSS. Data on marital status, sociodemographic factors, and current health status were obtained from questionnaires; detailed disease and treatment histories were available from medical records. Marital status of the U.S. population was obtained from the 2002 Current Population Survey of the U.S. Census. We found that survivors were more likely to have never married than both sibling (odds ratio [OR] = 1.79; 95 % CI = 1.65-1.94; p < 0.0001) and population controls (OR = 2.29; 95 % CI = 2.19-2.38; p < 0.0001), with persistence of trends across age and gender strata. Once married, survivors divorced at rates equivalent to controls. In adjusted analysis, we found that several survivor characteristics predicted never-married status, including treatment involving cranial radiation (OR = 2.41; p < 0.0001), CNS tumor diagnosis (OR = 2.05; p < 0.0001), history of growth hormone deficiency (OR = 2.02; p < 0.0001), and unemployment secondary to disability (OR = 1.78; p = 0.0001). Survivor characteristics predictive of divorce included unemployment (OR = 1.91; p < 0.0001, for unemployed or disabled), lower educational achievement (OR = 1.74; p < 0.0001, for non-college graduates), and psychological distress (OR = 1.60; p < 0.0001). This study confirms prior reports of lower marriage rates in survivors of childhood cancer, providing further evidence that this population struggles with psychosocial adjustment to adult life.

Studies over the past couple of decades have depicted loneliness as a significant concern to physical health, although its meaning for overall health outcomes is still unclear. The precise impact of loneliness on life expectancy and on specific disease processes remains unknown. With regression modeling techniques, this thesis uses data from the Alameda County Health and Ways of Living Study to characterize the impact of loneliness on self-rated health, mortality, and fatalities from specific diseases. A key hypothesis is that loneliness as a health problem hinges on its persistence over time. This hypothesis is also tested by examining the reliability of the loneliness measure across the full 34 years of the survey. A second test is to examine its interplay with marital status as a mutable social circumstance. Results show that loneliness is a risk factor for poor self-rated health, non-ischemic cardiovascular diseases, cerebrovascular diseases, infections, and overall mortality. Results also show that loneliness need not be a stable problem across the life span in order to pose health risks. The reliability of the loneliness measure fades across time and levels of loneliness also vary with changes in marital status. Loneliness did not clearly mediate the impact of marital status on self-rated health, mortality, or specific causes of death.

Studies over the past couple of decades have depicted loneliness as a significant concern to physical health, although its meaning for overall health outcomes is still unclear. The precise impact of loneliness on life expectancy and on specific disease processes remains unknown. With regression modeling techniques, this thesis uses data from the Alameda County Health and Ways of Living Study to characterize the impact of loneliness on self-rated health, mortality, and fatalities from specific diseases. A key hypothesis is that loneliness as a health problem hinges on its persistence over time. This hypothesis is also tested by examining the reliability of the loneliness measure across the full 34 years of the survey. A second test is to examine its interplay with marital status as a mutable social circumstance. Results show that loneliness is a risk factor for poor self-rated health, non-ischemic cardiovascular diseases, cerebrovascular diseases, infections, and overall mortality. Results also show that loneliness need not be a stable problem across the life span in order to pose health risks. The reliability of the loneliness measure fades across time and levels of loneliness also vary with changes in marital status. Loneliness did not clearly mediate the impact of marital status on self-rated health, mortality, or specific causes of death.

Thesis (M.A. (Population and Reproductive Health Research))--Mahidol University, 2006. / LICL has E-Thesis 0017 ; please contact computer services.

Thesis (Ph.D. in Nursing) -- University of Colorado, 2005. / Typescript. Includes bibliographical references (leaves 196-206). Free to UCDHSC affiliates. Online version available via ProQuest Digital Dissertations;

Studies over the past couple of decades have depicted loneliness as a significant concern to physical health, although its meaning for overall health outcomes is still unclear. The precise impact of loneliness on life expectancy and on specific disease processes remains unknown. With regression modeling techniques, this thesis uses data from the Alameda County Health and Ways of Living Study to characterize the impact of loneliness on self-rated health, mortality, and fatalities from specific diseases. A key hypothesis is that loneliness as a health problem hinges on its persistence over time. This hypothesis is also tested by examining the reliability of the loneliness measure across the full 34 years of the survey. A second test is to examine its interplay with marital status as a mutable social circumstance. Results show that loneliness is a risk factor for poor self-rated health, non-ischemic cardiovascular diseases, cerebrovascular diseases, infections, and overall mortality. Results also show that loneliness need not be a stable problem across the life span in order to pose health risks. The reliability of the loneliness measure fades across time and levels of loneliness also vary with changes in marital status. Loneliness did not clearly mediate the impact of marital status on self-rated health, mortality, or specific causes of death. / Arts, Faculty of / Sociology, Department of / Graduate